Reference Citation Analysis: Find an Article, Find a Category, Find a Journal, Find a Scholar

For: Cheng Q, Zhu X, Zhang X, Li H, Du Y, Hong W, Xue S, Zhu H. A cross-sectional study of loss of muscle mass corresponding to sarcopenia in healthy Chinese men and women: reference values, prevalence, and association with bone mass. J Bone Miner Metab 2014;32:78-88. [PMID: 23620096 DOI: 10.1007/s00774-013-0468-3] [Citation(s) in RCA: 88] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2012] [Accepted: 03/28/2013] [Indexed: 02/03/2023]

For:	Cheng Q, Zhu X, Zhang X, Li H, Du Y, Hong W, Xue S, Zhu H. A cross-sectional study of loss of muscle mass corresponding to sarcopenia in healthy Chinese men and women: reference values, prevalence, and association with bone mass. J Bone Miner Metab 2014;32:78-88. [PMID: 23620096 DOI: 10.1007/s00774-013-0468-3] [Citation(s) in RCA: 88] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2012] [Accepted: 03/28/2013] [Indexed: 02/03/2023]

Number

Cited by Other Article(s)

Cederholm T, Jensen GL, Correia MITD, Gonzalez MC, Fukushima R, Pisprasert V, Blaauw R, Braz DC, Carrasco F, Cruz Jentoft AJ, Cuerda C, Evans DC, Fuchs-Tarlovsky V, Gramlich L, Shi HP, Hasse JM, Hiesmayr M, Hiki N, Jager-Wittenaar H, Jahit S, Jáquez A, Keller H, Klek S, Malone A, Mogensen KM, Mori N, Mundi M, Muscaritoli M, Ng D, Nyulasi I, Pirlich M, Schneider S, Schueren MDVD, Siltharm S, Singer P, Steiber A, Tappenden KA, Yu J, van Gossum A, Wang JY, Winkler MF, Barazzoni R, Compher C. The GLIM consensus approach to diagnosis of malnutrition: A 5-year update. Clin Nutr 2025;49:11-20. [PMID: 40222089 DOI: 10.1016/j.clnu.2025.03.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2025] [Accepted: 03/17/2025] [Indexed: 04/15/2025]

Abstract

BACKGROUND

The Global Leadership Initiative on Malnutrition (GLIM) introduced an approach for malnutrition diagnosis in 2019 comprised of screening followed by assessment of three phenotypic criteria: weight loss, low BMI, and low muscle mass, and two etiologic criteria: reduced food intake/assimilation, and inflammation/disease burden. This planned update reconsiders the GLIM framework based on published knowledge and experience over the past five years.

METHODS

A GLIM working group (n = 43 members) conducted a literature search spanning 2019-2024 using the keywords "Global Leadership Initiative on Malnutrition or GLIM". Prior GLIM activities providing guidance for use of the criteria on muscle mass and inflammation were reviewed. Successive rounds of review and revision were used to achieve consensus.

RESULTS

More than 400 scientific reports are published in peer-reviewed journals, forming the basis of 10 systematic reviews, some including meta-analyses of GLIM validity that indicate strong construct and predictive validity. Limitations and future priorities are discussed. Working group findings suggest that assessment of low muscle mass should be guided by experience and available technological resources. Clinical judgement may suffice to evaluate the inflammation/disease burden etiologic criterion. No revisions of the weight loss, low BMI, or reduced food intake/assimilation criteria are suggested. Following two rounds of review and revision, the working group secured 100 % agreement with the conclusions reported in the 5-year update.

CONCLUSION

Ongoing initiatives target priorities that include malnutrition risk screening procedures, GLIM adaptation to the intensive care setting, assessment in support of the reduced food intake/assimilation criterion, and determination of malnutrition in obesity.

Collapse

Affiliation(s)

Tommy Cederholm Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden; Theme Inflammation & Aging, Karolinska University Hospital, Stockholm, Sweden.
Gordon L Jensen Dean's Office and Department of Medicine, Larner College of Medicine, University of Vermont, Burlington, VT, USA.
M Isabel T D Correia Department of Surgery, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
M Cristina Gonzalez Postgraduate Program in Nutrition and Food, Federal University of Pelotas, RS, Brazil.
Ryoji Fukushima Department of Health and Dietetics, Faculty of Health and Medical Science, Teikyo Heisei University, Tokyo, Japan.
Veeradej Pisprasert Department of Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Renee Blaauw Division of Human Nutrition, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Diana Cardenas Braz Nutrition Unit, Gustave Roussy, Villejuif, France.
Fernando Carrasco Department of Nutrition, Faculty of Medicine, University of Chile, Santiago, Chile.
Alfonso J Cruz Jentoft Servicio de Geriatría, Hospital Universitario Ramón y Cajal (IRYCIS), Madrid, Spain.
Cristina Cuerda Nutrition Unit, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
David C Evans Department of Surgery, OhioHealth Grant Medical Center and Ohio University, Columbus, OH, USA.
Vanessa Fuchs-Tarlovsky Clinical Nutrition Department, Hospital General de México, Mexico City, Mexico.
Leah Gramlich Department of Medicine, University of Alberta, Edmonton, Alberta, Canada.
Han Ping Shi Department of GI Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Jeanette M Hasse Simmons Transplant Institute, Baylor University Medical Center, Dallas, TX, USA.
Michael Hiesmayr Center for Medical Data Science, Unit for Medical Statistics, Medical University Vienna, Vienna, Austria.
Naoki Hiki Department of Upper Gastrointestinal Surgery, Kitasato University School of Medicine, Kanagawa, Japan.
Harriët Jager-Wittenaar Department of Gastroenterology and Hepatology, Dietetics, Nijmegen, The Netherlands. Research Group Healthy Ageing, Allied Health Care and Nursing, Hanze University of Applied Sciences, Groningen, the Netherlands.
Shukri Jahit National Cancer Institute, Putrajaya, Malaysia.
Anayanet Jáquez Pontificia Universidad Catolica Madre y Maestra, Santiago, Chile.
Heather Keller Schlegel-UW Research Institute for Aging and Department of Kinesiology & Health Sciences, University of Waterloo, Ontario, Canada.
Stanislaw Klek Surgical Oncology Clinic, The Maria Sklodowska-Curie National Cancer Institute, Krakow, Poland.
Ainsley Malone The American Society for Parenteral and Enteral Nutrition, Silver Spring, MD, USA.
Kris M Mogensen Department of Nutrition, Brigham and Women's Hospital, Boston, MA, USA.
Naoharu Mori Department of Palliative and Supportive Medicine, Graduate School of Medicine, Aichi Medical University, Nagakute, Aichi, Japan.
Manpreet Mundi Division of Endocrine, Diabetes, Metabolism, Nutrition, Mayo Clinic, Rochester, MN, USA.
Maurizio Muscaritoli Department of Translational and Precision Medicine, Sapienza University of Rome, Italy.
Doris Ng Department of Gastroenterology and Hepatology, Tan Tock Seng Hospital, Singapore.
Ibolya Nyulasi Department of Food, Nutrition and Dietetics, Latrobe University, Melbourne, Australia; The School of Translational Medicine, Monash University, Melbourne, Australia.
Matthias Pirlich Imperial Oak Outpatient Clinic, Endocrinology, Gastroenterology and Clinical Nutrition, Berlin, Germany.
Stephane Schneider Gastroenterology and Nutrition Department, Nice University Hospital, Côte d'Azur University, Nice, France.
Marian de van der Schueren Department of Nutrition, Dietetics and Lifestyle, HAN University of Applied Sciences, Nijmegen, the Netherlands; Division of Human Nutrition and Health, Wageningen University&Research, Wageningen, the Netherlands.
Soranit Siltharm Ministry of Science and Technology, Bangkok, Thailand.
Pierre Singer Institute for Nutrition Research, Rabin Medical Center, Petah Tikva, Intensive Care Unit, Herzlia Medical Center, Reichman University, Israel.
Alison Steiber Mission, Impact and Strategy Team, Academy of Nutrition and Dietetics, Chicago, IL, USA.
Kelly A Tappenden Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT, USA.
Jianchun Yu Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, 100730, China.
André van Gossum Department of Gastroenterology and Clinical Nutrition, Hospital Universitaire de Bruxelles (HUB), Free University of Brussels, Brussels, Belgium.
Jaw-Yuan Wang Division of Colorectal Surgery, Department of Surgery, Kaohsiung Medical University Hospital and Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
Marion F Winkler Alpert Medical School of Brown University, Rhode Island Hospital, Surgical Nutrition Service, Providence, RI, USA.
Rocco Barazzoni Department of Medical, Technological and Translational Sciences, University of Trieste, Ospedale di Cattinara, Trieste, Italy.
Charlene Compher Biobehavioral Health Science Department and Nutrition Programs, University of Pennsylvania School of Nursing, Philadelphia, PA, USA.

Collapse

Jensen GL, Cederholm T, Correia MITD, Gonzalez MC, Fukushima R, Pisprasert V, Blaauw R, Braz DC, Carrasco F, Cruz Jentoft AJ, Cuerda C, Evans DC, Fuchs‐Tarlovsky V, Gramlich L, Shi HP, Hasse JM, Hiesmayr M, Hiki N, Jager‐Wittenaar H, Jahit S, Jáquez A, Keller H, Klek S, Malone A, Mogensen KM, Mori N, Mundi M, Muscaritoli M, Ng D, Nyulasi I, Pirlich M, Schneider S, de van der Schueren M, Siltharm S, Singer P, Steiber A, Tappenden KA, Yu J, van Gossum A, Wang J, Winkler MF, Compher C, Barazzoni R. GLIM consensus approach to diagnosis of malnutrition: A 5-year update. JPEN J Parenter Enteral Nutr 2025;49:414-427. [PMID: 40223699 PMCID: PMC12053077 DOI: 10.1002/jpen.2756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2025] [Revised: 03/13/2025] [Accepted: 03/13/2025] [Indexed: 04/15/2025]

Abstract

BACKGROUND

The Global Leadership Initiative on Malnutrition (GLIM) introduced an approach for malnutrition diagnosis in 2019 that comprised screening followed by assessment of three phenotypic criteria (weight loss, low body mass index [BMI], and low muscle mass) and two etiologic criteria (reduced food intake/assimilation and inflammation/disease burden). This planned update reconsiders the GLIM framework based on published knowledge and experience over the past 5 years.

METHODS

A working group (n = 43 members) conducted a literature search spanning 2019-2024 using the keywords "Global Leadership Initiative on Malnutrition or GLIM." Prior GLIM guidance activities for using the criteria on muscle mass and inflammation were reviewed. Successive rounds of revision and review were used to achieve consensus.

RESULTS

More than 400 scientific reports were published in peer-reviewed journals, forming the basis of 10 systematic reviews, some including meta-analyses of GLIM validity that indicate strong construct and predictive validity. Limitations and future priorities are discussed. Working group findings suggest that assessment of low muscle mass should be guided by experience and available technological resources. Clinical judgment may suffice to evaluate the inflammation/disease burden etiologic criterion. No revisions of the weight loss, low BMI, or reduced food intake/assimilation criteria are suggested. After two rounds of review and revision, the working group secured 100% agreement with the conclusions reported in the 5-year update.

CONCLUSION

Collapse

Affiliation(s)

Gordon L. Jensen Dean's Office and Department of MedicineLarner College of Medicine, University of VermontBurlingtonVTUSA
Tommy Cederholm Department of Public Health and Caring Sciences, Clinical Nutrition and MetabolismUppsala UniversityUppsalaSweden Theme Inflammation & Aging, Karolinska University HospitalStockholmSweden
M. Isabel T. D. Correia Department of SurgeryUniversidade Federal de Minas GeraisBelo HorizonteBrazil
M. Cristina Gonzalez Postgraduate Program in Nutrition and Food, Federal University of PelotasRSBrazil
Ryoji Fukushima Department of Health and DieteticsFaculty of Health and Medical Science, Teikyo Heisei UniversityTokyoJapan
Veeradej Pisprasert Department of MedicineFaculty of Medicine, Khon Kaen UniversityKhon KaenThailand
Renee Blaauw Division of Human NutritionFaculty of Medicine and Health Sciences, Stellenbosch UniversityCape TownSouth Africa
Diana Cardenas Braz Nutrition Unit, Gustave RoussyVillejuifFrance
Fernando Carrasco Department of Nutrition, Faculty of MedicineUniversity of ChileSantiagoChile
Alfonso J. Cruz Jentoft Servicio de GeriatríaHospital Universitario Ramón y Cajal (IRYCIS)MadridSpain
Cristina Cuerda Nutrition Unit, Hospital General Universitario Gregorio MarañónMadridSpain
David C. Evans Department of SurgeryOhioHealth Grant Medical Center and Ohio UniversityColumbusOHUSA
Vanessa Fuchs‐Tarlovsky Clinical Nutrition DepartmentHospital General de MéxicoMexico CityMexico
Leah Gramlich Department of MedicineUniversity of AlbertaEdmontonAlbertaCanada
Han Ping Shi Department of GI Surgery, Department of Clinical NutritionBeijing Shijitan Hospital, Capital Medical UniversityBeijingChina
Jeanette M. Hasse Simmons Transplant InstituteBaylor University Medical CenterDallasTXUSA
Michael Hiesmayr Center for Medical Data Science, Unit for Medical Statistics, Medical University ViennaViennaAustria
Naoki Hiki Department of Upper Gastrointestinal SurgeryKitasato University School of MedicineKanagawaJapan
Harriët Jager‐Wittenaar Department of Gastroenterology and HepatologyDieteticsRadboud University Medical CenterNijmegenThe Netherlands Research Group Healthy Ageing, Allied Health Care and Nursing, Hanze University of Applied SciencesGroningenThe Netherlands
Shukri Jahit National Cancer InstitutePutrajayaMalaysia
Anayanet Jáquez Pontificia Universidad Catolica Madre y MaestraSantiagoRepublica Dominica
Heather Keller Schlegel‐UW Research Institute for Aging and Department of Kinesiology & Health SciencesUniversity of WaterlooOntarioCanada
Stanislaw Klek Surgical Oncology Clinic, The Maria Sklodowska‐Curie National Cancer InstituteKrakowPoland
Ainsley Malone The American Society for Parenteral and Enteral NutritionSilver SpringMDUSA
Kris M. Mogensen Department of NutritionBrigham and Women's HospitalBostonMAUSA
Naoharu Mori Department of Palliative and Supportive MedicineGraduate School of Medicine, Aichi Medical UniversityNagakuteAichiJapan
Manpreet Mundi Division of Endocrine, Diabetes, Metabolism, Nutrition, Mayo ClinicRochesterMNUSA
Maurizio Muscaritoli Department of Translational and Precision MedicineSapienza University of RomeItaly
Doris Ng Department of Gastroenterology and HepatologyTan Tock Seng HospitalSingapore
Ibolya Nyulasi Department of Food, Nutrition and DieteticsLatrobe University; MelbourneVictoriaAustralia The School of Translational MedicineMonash UniversityMelbourneVictoriaAustralia
Matthias Pirlich Imperial Oak Outpatient Clinic, Endocrinology, Gastroenterology and Clinical NutritionBerlinGermany
Stephane Schneider Gastroenterology and Nutrition DepartmentNice University Hospital, Côte d'Azur UniversityNiceFrance
Marian de van der Schueren Department of Nutrition, Dietetics and LifestyleHAN University of Applied SciencesNijmegenthe Netherlands Division of Human Nutrition and Health, Wageningen University & ResearchWageningenthe Netherlands
Soranit Siltharm Ministry of Science and TechnologyBangkokThailand
Pierre Singer Institute for Nutrition Research, Rabin Medical CenterPetah TikvaIsrael Intensive Care Unit, Herzlia Medical Center, Reichman UniversityHerzliyaIsrael
Alison Steiber Mission, Impact and Strategy Team, Academy of Nutrition and DieteticsChicagoILUSA
Kelly A. Tappenden Department of Nutrition and Integrative PhysiologyUniversity of UtahSalt Lake CityUTUSA
Jianchun Yu Department of General Surgery, Peking Union Medical College HospitalChinese Academy of Medical Sciences100730P.R. China
André van Gossum Department of Gastroenterology and Clinical Nutrition, Hospital Universitaire de Bruxelles (HUB)Free University of BrusselsBrusselsBelgium
Jaw‐Yuan Wang Division of Colorectal Surgery, Department of SurgeryKaohsiung Medical University Hospital and Graduate Institute of Clinical MedicineKaohsiungTaiwan College of MedicineKaohsiung Medical UniversityKaohsiungTaiwan
Marion F. Winkler Alpert Medical School of Brown University; Rhode Island HospitalSurgical Nutrition ServiceProvidenceRIUSA
Charlene Compher Biobehavioral Health Science Department and Nutrition ProgramsUniversity of Pennsylvania School of NursingPhiladelphiaPAUSA
Rocco Barazzoni Department of Medical, Technological and Translational Sciences, University of TriesteOspedale di CattinaraTriesteItaly

Collapse

Handajani YS, Turana Y, Kristian K, Widjaja NT, Lysandra A, Schröder Butterfill E. Associated factors of sarcopenia among urban community-dwelling older adults in West Jakarta: A cross-sectional study. MALAYSIAN FAMILY PHYSICIAN : THE OFFICIAL JOURNAL OF THE ACADEMY OF FAMILY PHYSICIANS OF MALAYSIA 2025;20:21. [PMID: 40330979 PMCID: PMC12051965 DOI: 10.51866/oa.594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 05/08/2025]

Lee SR, Lee SY, Cho YH, Lee Y, Choi JI, Kwon RJ, Son SM, Lee JG, Yi YH, Tak YJ, Lee SH, Kim GL, Ra YJ, Park EJ. The Effect of Eating Speed on Sarcopenia, Obesity, and Sarcopenic Obesity in Older Adults: A 16-Year Cohort Study Using the Korean Genome and Epidemiology Study (KoGES) Data. Nutrients 2025;17:992. [PMID: 40290000 PMCID: PMC11946338 DOI: 10.3390/nu17060992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2025] [Revised: 03/06/2025] [Accepted: 03/10/2025] [Indexed: 04/30/2025] Open

Affiliation(s)

Sae Rom Lee Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea; (S.R.L.); (S.Y.L.); (Y.H.C.); (Y.L.); (J.I.C.); (R.J.K.); (S.M.S.) Department of Family Medicine, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea Department of Family Medicine, The School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea; (J.G.L.); (Y.H.Y.); (Y.J.T.); (S.H.L.); (G.L.K.); (Y.J.R.)
Sang Yeoup Lee Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea; (S.R.L.); (S.Y.L.); (Y.H.C.); (Y.L.); (J.I.C.); (R.J.K.); (S.M.S.) Department of Family Medicine, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea Department of Family Medicine, The School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea; (J.G.L.); (Y.H.Y.); (Y.J.T.); (S.H.L.); (G.L.K.); (Y.J.R.) Department of Medical Education, Integrated Research Institute for Natural Ingredients and Functional Food, School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea
Young Hye Cho Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea; (S.R.L.); (S.Y.L.); (Y.H.C.); (Y.L.); (J.I.C.); (R.J.K.); (S.M.S.) Department of Family Medicine, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea Department of Family Medicine, The School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea; (J.G.L.); (Y.H.Y.); (Y.J.T.); (S.H.L.); (G.L.K.); (Y.J.R.)
Youngin Lee Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea; (S.R.L.); (S.Y.L.); (Y.H.C.); (Y.L.); (J.I.C.); (R.J.K.); (S.M.S.) Department of Family Medicine, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea Department of Family Medicine, The School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea; (J.G.L.); (Y.H.Y.); (Y.J.T.); (S.H.L.); (G.L.K.); (Y.J.R.)
Jung In Choi Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea; (S.R.L.); (S.Y.L.); (Y.H.C.); (Y.L.); (J.I.C.); (R.J.K.); (S.M.S.) Department of Family Medicine, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea Department of Family Medicine, The School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea; (J.G.L.); (Y.H.Y.); (Y.J.T.); (S.H.L.); (G.L.K.); (Y.J.R.)
Ryuk Jun Kwon Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea; (S.R.L.); (S.Y.L.); (Y.H.C.); (Y.L.); (J.I.C.); (R.J.K.); (S.M.S.) Department of Family Medicine, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea Department of Family Medicine, The School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea; (J.G.L.); (Y.H.Y.); (Y.J.T.); (S.H.L.); (G.L.K.); (Y.J.R.)
Soo Min Son Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea; (S.R.L.); (S.Y.L.); (Y.H.C.); (Y.L.); (J.I.C.); (R.J.K.); (S.M.S.) Department of Family Medicine, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea Department of Family Medicine, The School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea; (J.G.L.); (Y.H.Y.); (Y.J.T.); (S.H.L.); (G.L.K.); (Y.J.R.)
Jeong Gyu Lee Department of Family Medicine, The School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea; (J.G.L.); (Y.H.Y.); (Y.J.T.); (S.H.L.); (G.L.K.); (Y.J.R.) Department of Medical Education, Integrated Research Institute for Natural Ingredients and Functional Food, School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea Department of Family Medicine, Pusan National University Hospital, Busan 46241, Republic of Korea
Yu Hyeon Yi Department of Family Medicine, The School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea; (J.G.L.); (Y.H.Y.); (Y.J.T.); (S.H.L.); (G.L.K.); (Y.J.R.) Department of Medical Education, Integrated Research Institute for Natural Ingredients and Functional Food, School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea Department of Family Medicine, Pusan National University Hospital, Busan 46241, Republic of Korea
Young Jin Tak Department of Family Medicine, The School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea; (J.G.L.); (Y.H.Y.); (Y.J.T.); (S.H.L.); (G.L.K.); (Y.J.R.) Department of Medical Education, Integrated Research Institute for Natural Ingredients and Functional Food, School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea Department of Family Medicine, Pusan National University Hospital, Busan 46241, Republic of Korea
Seung Hun Lee Department of Family Medicine, The School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea; (J.G.L.); (Y.H.Y.); (Y.J.T.); (S.H.L.); (G.L.K.); (Y.J.R.) Department of Medical Education, Integrated Research Institute for Natural Ingredients and Functional Food, School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea Department of Family Medicine, Pusan National University Hospital, Busan 46241, Republic of Korea
Gyu Lee Kim Department of Family Medicine, The School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea; (J.G.L.); (Y.H.Y.); (Y.J.T.); (S.H.L.); (G.L.K.); (Y.J.R.) Department of Medical Education, Integrated Research Institute for Natural Ingredients and Functional Food, School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea Department of Family Medicine, Pusan National University Hospital, Busan 46241, Republic of Korea
Young Jin Ra Department of Family Medicine, The School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea; (J.G.L.); (Y.H.Y.); (Y.J.T.); (S.H.L.); (G.L.K.); (Y.J.R.) Department of Medical Education, Integrated Research Institute for Natural Ingredients and Functional Food, School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea Department of Family Medicine, Pusan National University Hospital, Busan 46241, Republic of Korea
Eun Ju Park Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea; (S.R.L.); (S.Y.L.); (Y.H.C.); (Y.L.); (J.I.C.); (R.J.K.); (S.M.S.) Department of Family Medicine, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea Department of Family Medicine, The School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea; (J.G.L.); (Y.H.Y.); (Y.J.T.); (S.H.L.); (G.L.K.); (Y.J.R.)

Collapse

Kuo HW, Chen CD, Yen AMF, Chen C, Fan YT. Development and validation of the sarcopenia composite index: A comprehensive approach for assessing sarcopenia in the ageing population. ANNALS OF THE ACADEMY OF MEDICINE, SINGAPORE 2025;54:101-112. [PMID: 40071458 DOI: 10.47102/annals-acadmedsg.2024272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2025]

Abstract

Introduction

The diagnosis of sarcopenia relies on key indicators such as handgrip strength, walking speed and muscle mass. Developing a composite index that integrates these measures could enhance clinical evaluation in older adults. This study aimed to standardise and combine these metrics to establish a z score for the sarcopenia composite index (ZoSCI) tailored for the ageing population. Additionally, we explore the risk factors associated with ZoSCI to provide insights into early prevention and intervention strategies.

Method

This retrospective study analysed data between January 2017 and December 2021 from an elderly health programme in Taiwan, applying the Asian Working Group for Sarcopenia criteria to assess sarcopenia. ZoSCI was developed by standardising handgrip strength, walking speed and muscle mass into z scores and integrating them into a composite index. Receiver operating characteristic (ROC) curve analysis was used to determine optimal cut-off values, and multiple regression analysis identified factors influencing ZoSCI.

Results

Among the 5047 participants, the prevalence of sarcopenia was 3.7%, lower than the reported global prevalence of 3.9-15.4%. ROC curve analysis established optimal cut-off points for distinguishing sarcopenia in ZoSCI: -1.85 (sensitivity 0.91, specificity 0.88) for males and -1.97 (sensitivity 0.93, specificity 0.88) for females. Factors associated with lower ZoSCI included advanced age, lower education levels, reduced exercise frequency, lower body mass index and creatinine levels.

Conclusion

This study introduces ZoSCI, a new compo-site quantitative indicator for identifying sarcopenia in older adults. The findings highlight specific risk factors that can inform early intervention. Future studies should validate ZoSCI globally, with international collaborations to ensure broader applicability.

Collapse

Lingying W, Hong Z, Hongxiu C, Ziyi H, Mei F, Menglin T, Xiuying H. Association of body mass index with disability in activities of daily living in older adults: a systematic review of the literature based on longitudinal data. BMC Public Health 2025;25:6. [PMID: 39748352 PMCID: PMC11697817 DOI: 10.1186/s12889-024-21234-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Accepted: 12/27/2024] [Indexed: 01/04/2025] Open

Abstract

BACKGROUND

The influence of Body Mass Index (BMI) on the functional capacity for daily activities in older adults is a significant concern. Our study is designed to delineate the longitudinal relationship between BMI and the ability of daily living activities among older adults.

METHODS

Two researchers conducted a comprehensive literature search and independent screening of articles in PubMed, Embase, Web of Science, China National Knowledge Infrastructure (CNKI), the Database for Chinese Technical Periodicals (VIP), and Wanfang, covering the period from January 2000 to May 2024. Studies were selected based on predefined inclusion and exclusion criteria, and relevant data were extracted for subsequent meta-analysis using the Cochrane Collaboration's Review Manager 5.3 software.

RESULTS

After rigorous selection, four longitudinal studies were incorporated into our meta-analysis. The findings indicated that underweight older adults exhibited a higher likelihood of experiencing difficulties with basic activities of daily living (BADL) (odds ratio [OR] = 1.33, 95% confidence interval [CI]: [1.03, 1.72]; P = 0.03). Conversely, overweight older adults were found to have a reduced likelihood of BADL (odds ratio [OR] = 0.81, 95% confidence interval [CI]: [0.79, 0.83]; P < 0.001). However, overweight and obese older adults demonstrated an increased likelihood of challenges with Instrumental Activities of Daily Living (IADL) (odds ratio [OR] = 1.58, 95% confidence interval [CI]: [1.25, 2.00]; P < 0.01).

CONCLUSIONS

Our longitudinal meta-analysis substantiates the correlation between underweight status and the impairment of BADL in older adults, irrespective of gender. It also reveals that overweight older adults have a lower risk of BADL difficulties, yet a higher risk of IADL challenges, which is further exacerbated in obesity. The early identification and management of BMI in this population could be instrumental in preventing a decline in ADL. Recognizing the role of BMI categories in this context is essential for developing targeted preventative strategies for the elderly, while also accounting for other modifiable risk factors such as pain and depression.

Collapse

Lee A, Park S. Factors Affecting Handgrip Strength in Menopausal Women at High Risk of Sarcopenia: A National Population-Based Study. Healthcare (Basel) 2024;12:2590. [PMID: 39766017 PMCID: PMC11727981 DOI: 10.3390/healthcare12242590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2024] [Revised: 12/14/2024] [Accepted: 12/18/2024] [Indexed: 01/15/2025] Open

Li Y, Xu Z. The relationship of body composition with bone mineral density and 10-year probability of hip fracture in postmenopausal women. Geriatr Nurs 2024;59:250-255. [PMID: 39067086 DOI: 10.1016/j.gerinurse.2024.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Revised: 06/23/2024] [Accepted: 07/03/2024] [Indexed: 07/30/2024]

Wang Y, Lu Y, Fang Z, Yan H, Li J, Ye Z, Yu Y, Shan W. Brisk walking improves motor function and lower limb muscle strength in Chinese women aged 80 years and older. Sci Rep 2024;14:7933. [PMID: 38575643 PMCID: PMC10995214 DOI: 10.1038/s41598-024-55925-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 02/29/2024] [Indexed: 04/06/2024] Open

Affiliation(s)

Yang Wang The School of Sports Medicine and Rehabilitation, Beijing Sport University, Beijing, 100084, China Laboratory of Sports Stress and Adaptation of General Administration of Sport, Beijing Sport University, Beijing, 100084, China
Yifan Lu The School of Sports Medicine and Rehabilitation, Beijing Sport University, Beijing, 100084, China. Laboratory of Sports Stress and Adaptation of General Administration of Sport, Beijing Sport University, Beijing, 100084, China.
Zilong Fang The School of Sports Medicine and Rehabilitation, Beijing Sport University, Beijing, 100084, China Laboratory of Sports Stress and Adaptation of General Administration of Sport, Beijing Sport University, Beijing, 100084, China
Huiping Yan The School of Sports Medicine and Rehabilitation, Beijing Sport University, Beijing, 100084, China Laboratory of Sports Stress and Adaptation of General Administration of Sport, Beijing Sport University, Beijing, 100084, China
Jiahao Li The School of Sports Medicine and Rehabilitation, Beijing Sport University, Beijing, 100084, China Laboratory of Sports Stress and Adaptation of General Administration of Sport, Beijing Sport University, Beijing, 100084, China
Zhifan Ye The School of Sports Medicine and Rehabilitation, Beijing Sport University, Beijing, 100084, China Laboratory of Sports Stress and Adaptation of General Administration of Sport, Beijing Sport University, Beijing, 100084, China
Yichao Yu Laboratory of Sports Stress and Adaptation of General Administration of Sport, Beijing Sport University, Beijing, 100084, China The School of Sports Coaching, Beijing Sport University, Beijing, 100084, China
Wei Shan Laboratory of Sports Stress and Adaptation of General Administration of Sport, Beijing Sport University, Beijing, 100084, China. China Institute of Sport and Health Science, Beijing Sport University, Beijing, 100084, China.

Collapse

Bi LN, Zheng X, Qi YY, Hu S, Li C, Zhang Y. Prevalence and influencing factors of muscle mass loss in adults with diabetes and a high body fat percentage: A cross-sectional study. J Back Musculoskelet Rehabil 2024;37:175-181. [PMID: 37661869 DOI: 10.3233/bmr-230065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]

Elliehausen CJ, Anderson RM, Diffee GM, Rhoads TW, Lamming DW, Hornberger TA, Konopka AR. Geroprotector drugs and exercise: friends or foes on healthy longevity? BMC Biol 2023;21:287. [PMID: 38066609 PMCID: PMC10709984 DOI: 10.1186/s12915-023-01779-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 11/23/2023] [Indexed: 12/18/2023] Open

Bai A, Xu W, Liang Y, Jiang Y, Lin Z. Dietary patterns from mid-through later-life in relation to sarcopenia risk over 20 years among Chinese community-dwelling oldest old individuals. Clin Nutr 2023;42:2569-2577. [PMID: 37967504 DOI: 10.1016/j.clnu.2023.10.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 10/13/2023] [Accepted: 10/17/2023] [Indexed: 11/17/2023]

Abstract

BACKGROUND

Evidence regarding how dietary patterns (DPs) from mid- (60 years old) to later-life (over 80 years old) affect sarcopenia risk in old age is scarce.

METHODS

We included 7267 participants aged ≥80 years from the Chinese Longitudinal Healthy Longevity Survey in 2018. The Simplified Healthy Eating Index (SHE index) based on nine dietary variables was used to measured DPs and changes in DPs, with a higher score indicating better diet quality. The term "Mid-life" DPs denoted dietary habits at the age of 60 whereas "Later-life" DPs referred to dietary habits acquired over 80 years old. Sarcopenia risk was evaluated using the SARC-CalF questionnaire. We applied multivariable adjusted logistic regression models to investigate the cross-sectional association between DPs in a life course and sarcopenia risk in 2018 after adjusting for potential confounders including sociodemographic characteristics, lifestyle risk factors, and unfavorable health conditions. Several sensitivity analyses were conducted to verify the robustness of the results.

RESULTS

We found that healthier DPs during both mid- and later-life were associated with a decreased odds of sarcopenia risk, with adjusted odds ratios (ORs) of 0.69 (95 % confidence interval [CI]: 0.54-0.88) and 0.84 (95 % CI: 0.71-0.99), respectively. The odds of sarcopenia risk were also decreased among those with healthier DPs over a period of 20 years (OR = 0.80, 95 % CI: 0.69-0.93). For each nutrient consumption, participants who had high-quality fish consumption both in mid- and later-life had a 23 % decreased odds of sarcopenia risk (OR = 0.77, 95 % CI: 0.67-0.88) compared with those who had low-quality fish consumption all the time. The results were largely unchanged in sensitivity analyses.

CONCLUSIONS

Our findings highlight the importance of maintaining healthy dietary habits throughout life to reduce the risk of sarcopenia in old age.

Collapse

Khalafi M, Habibi Maleki A, Sakhaei MH, Rosenkranz SK, Pourvaghar MJ, Ehsanifar M, Bayat H, Korivi M, Liu Y. The effects of exercise training on body composition in postmenopausal women: a systematic review and meta-analysis. Front Endocrinol (Lausanne) 2023;14:1183765. [PMID: 37388207 PMCID: PMC10306117 DOI: 10.3389/fendo.2023.1183765] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 05/18/2023] [Indexed: 07/01/2023] Open

Yu M, Pan M, Liang Y, Li X, Li J, Luo L. A nomogram for screening sarcopenia in Chinese type 2 diabetes mellitus patients. Exp Gerontol 2023;172:112069. [PMID: 36535452 DOI: 10.1016/j.exger.2022.112069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 12/05/2022] [Accepted: 12/15/2022] [Indexed: 12/23/2022]

Abstract

OBJECTIVE

Diabetes is an important risk factor for sarcopenia and contributes to poor prognosis; it is important for clinicians to identify sarcopenia early in the population with type 2 diabetes mellitus. Our aim was to establish a clinical screening model of sarcopenia in Chinese patients with type 2 diabetes mellitus.

METHODS

A cross-sectional study was conducted involving 1131 hospitalized patients (62.67 ± 11.25 years) with type 2 diabetes mellitus, including 560 men and 571 women. All muscle/fat parameters were measured by dual energy X-ray absorptiometry and the clinical correlation with sarcopenia was evaluated. The least absolute shrinkage and selection operator was used to select optimal variables and build a nomogram chart of the sarcopenic screening model for patients with type 2 diabetes mellitus, respectively. The area under the receiver operating characteristic curve (AUC), the calibration curve, the analysis of the decision curve, the clinical impact curve, and external validations were used to evaluate discriminative ability and clinical applicability.

RESULTS

The prevalence of sarcopenia in patients with type 2 diabetes mellitus was 30.06 % (340/1131). Compared to the non-sarcopenic group, the sarcopenic group was older, more likely to be men, and had a higher heart rate and lower body mass index (BMI), waist-hip ratio (WHR), upper limb muscle mass, lower limb muscle mass and fat paraments (all P < 0.05). Five independent variables (age, sex, BMI, WHR and heart rate) were selected to construct a nomogram prediction model. The AUC was 0.907 (95 % CI: 0.890-0.925). The calibration curve, decision curve analysis, and clinical impact curves showed a wide range of nomograms with good clinical applicability under threshold probability. Additionally, internal validation showed a good AUC of 0.908 (95 % CI: 0.886-0.928) in the training set and 0.904 (95 % CI: 0.868-0.941) in the testing set, as well as an accuracy of 93.2 % for the screening of sarcopenia in the external validation set.

CONCLUSIONS

Age, sex, BMI, WHR, and heart rate were used to detect sarcopenia in patients with type 2 diabetes mellitus. The novel screening model is an accurate, easy-to-implement and low-cost tool for early identification of sarcopenia in Chinese patients with type 2 diabetes mellitus.

Collapse

Affiliation(s)

Mingzhong Yu Department of Geriatrics, The First Affiliated Hospital of Fujian Medical University, Fuzhou, People's Republic of China; Department of Geriatrics, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, People's Republic of China; Branch of National Clinical Research Center for Aging and Medicine, The First Affiliated Hospital of Fujian Medical University, Fuzhou, People's Republic of China; Clinical Research Center for Geriatric Hypertension Disease of Fujian province, The First Affiliated Hospital of Fujian Medical University, Fuzhou, People's Republic of China
Min Pan Department of Geriatrics, The First Affiliated Hospital of Fujian Medical University, Fuzhou, People's Republic of China; Department of Geriatrics, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, People's Republic of China; Branch of National Clinical Research Center for Aging and Medicine, The First Affiliated Hospital of Fujian Medical University, Fuzhou, People's Republic of China; Clinical Research Center for Geriatric Hypertension Disease of Fujian province, The First Affiliated Hospital of Fujian Medical University, Fuzhou, People's Republic of China
Yebei Liang Department of Geriatrics, The First Affiliated Hospital of Fujian Medical University, Fuzhou, People's Republic of China; Department of Geriatrics, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, People's Republic of China; Branch of National Clinical Research Center for Aging and Medicine, The First Affiliated Hospital of Fujian Medical University, Fuzhou, People's Republic of China; Clinical Research Center for Geriatric Hypertension Disease of Fujian province, The First Affiliated Hospital of Fujian Medical University, Fuzhou, People's Republic of China
Xiaoling Li Fujian Medical University, Fuzhou, People's Republic of China
Jingyan Li Fujian Medical University, Fuzhou, People's Republic of China
Li Luo Department of Geriatrics, The First Affiliated Hospital of Fujian Medical University, Fuzhou, People's Republic of China; Department of Geriatrics, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, People's Republic of China; Branch of National Clinical Research Center for Aging and Medicine, The First Affiliated Hospital of Fujian Medical University, Fuzhou, People's Republic of China; Clinical Research Center for Geriatric Hypertension Disease of Fujian province, The First Affiliated Hospital of Fujian Medical University, Fuzhou, People's Republic of China.

Collapse

Zhang X, Deng C, Wan Q, Zhao R, Han L, Wang X. Impact of sarcopenia on postoperative pulmonary complications after gastric cancer surgery: A retrospective cohort study. Front Surg 2023;9:1013665. [PMID: 36684364 PMCID: PMC9852346 DOI: 10.3389/fsurg.2022.1013665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Accepted: 10/31/2022] [Indexed: 01/08/2023] Open

Sun L, Fu J, Mu Z, Duan X, Chan P, Xiu S. Association between body fat and sarcopenia in older adults with type 2 diabetes mellitus: A cross-sectional study. Front Endocrinol (Lausanne) 2023;14:1094075. [PMID: 36777353 PMCID: PMC9911832 DOI: 10.3389/fendo.2023.1094075] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 01/17/2023] [Indexed: 01/28/2023] Open

Chew STH, Tey SL, Yalawar M, Liu Z, Baggs G, How CH, Cheong M, Chow WL, Low YL, Huynh DTT, Tan NC. Prevalence and associated factors of sarcopenia in community-dwelling older adults at risk of malnutrition. BMC Geriatr 2022;22:997. [PMID: 36564733 PMCID: PMC9789557 DOI: 10.1186/s12877-022-03704-1] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Accepted: 12/12/2022] [Indexed: 12/25/2022] Open

Abstract

BACKGROUND

There is an increasingly strong association between sarcopenia and malnutrition in research findings. We aimed to determine the prevalence and factors associated with sarcopenia in community-dwelling older adults (≥ 65 years) at risk of malnutrition based on Malnutrition Universal Screening Tool (MUST).

METHODS

This was a cross-sectional study of 811 participants. Participants were recruited from the general population, community centers, senior activity centers, polyclinics, and hospital. Community-dwelling older adults at risk of malnutrition participated in the study. Participants' data and measurements were collected at the baseline visit. Data included socio-demographic information, anthropometric measurements, body composition, dietary intakes, and functional assessments. Sarcopenia was defined using the Asian Working Group for Sarcopenia 2019 consensus.

RESULTS

Of the 694 participants with complete datasets, overall prevalence of sarcopenia was 76% (n = 530); 57% (n = 393) had severe sarcopenia. In the overall cohort, compared to participants without sarcopenia, those with sarcopenia were older, had lower physical activity scale for the elderly score, leg strength, handgrip endurance, mid-upper arm circumference, calf circumference, and bone mass, and had lower dietary protein intake and poorer nutritional status (all p ≤ 0.015). After adjusting for confounders, sarcopenia was significantly associated with older age, male gender, higher risk of malnutrition, lower calf circumference, and lower bone mass (all p ≤ 0.044).

CONCLUSIONS

In community-dwelling older adults at risk of malnutrition, there is a high prevalence of sarcopenia and severe sarcopenia. As such, screening positive for either malnutrition risk or sarcopenia in older adults should prompt screening for the other risk factor, to allow early institution of disease modifying interventions to forestall adverse outcomes for both malnutrition and sarcopenia.

TRIAL REGISTRATION

The study was registered at clinicaltrials.gov as NCT03245047 .

Collapse

Zhong J, Xie W, Wang X, Dong X, Mo Y, Liu D, Yao X, Liu B, Deng W, Su Y, Li Y, Wang X. The Prevalence of Sarcopenia among Hunan Province Community-Dwelling Adults Aged 60 Years and Older and Its Relationship with Lifestyle: Diagnostic Criteria from the Asian Working Group for Sarcopenia 2019 Update. MEDICINA (KAUNAS, LITHUANIA) 2022;58:1562. [PMID: 36363519 PMCID: PMC9699421 DOI: 10.3390/medicina58111562] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2022] [Revised: 10/13/2022] [Accepted: 10/27/2022] [Indexed: 01/04/2024]

Zhang H, Ke Z, Dong S, Du Y, Tang W, Chen M, Yu W, Cheng Q. Eldecalcitol prevents muscle loss by suppressing PI3K/AKT/FOXOs pathway in orchiectomized mice. Front Pharmacol 2022;13:1018480. [PMID: 36386197 PMCID: PMC9650589 DOI: 10.3389/fphar.2022.1018480] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Accepted: 10/17/2022] [Indexed: 11/29/2022] Open

Gimnich OA, Ortiz CB, Yang EY, Chen C, Virani SS, Kougias P, Lumsden AB, Morrisett JD, Ballantyne CM, Nambi V, Brunner G. Comparison of Longitudinal Skeletal Thigh Muscle Findings With Magnetic Resonance Imaging in Patients With Peripheral Artery Disease With-Versus-Without Diabetes Mellitus. Am J Cardiol 2022;181:130-138. [PMID: 35999068 PMCID: PMC11600339 DOI: 10.1016/j.amjcard.2022.06.060] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 06/22/2022] [Accepted: 06/28/2022] [Indexed: 11/16/2022]

Verma M, Kapoor N, Chaudhary A, Sharma P, Ghosh N, Sidana S, Kakkar R, Kalra S. Prevalence and Determinants of Sarcopenic Obesity in Older Adults: Secondary Data Analysis of the Longitudinal Ageing Study in India (LASI) Wave 1 Survey (2017-18). Adv Ther 2022;39:4094-4113. [PMID: 35788961 DOI: 10.1007/s12325-022-02216-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 06/06/2022] [Indexed: 01/21/2023]

Wong HJ, Harith S, Lua PL, Ibrahim KA. Possible Sarcopenia and Its Association with Nutritional Status, Dietary Intakes, Physical Activity and Health-Related Quality of Life among Older Stroke Survivors. Ann Geriatr Med Res 2022;26:162-174. [PMID: 35726561 PMCID: PMC9271400 DOI: 10.4235/agmr.22.0033] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 05/24/2022] [Indexed: 12/04/2022] Open

Abstract

Background

Screening for sarcopenia in the stroke population is an emerging concept in research and clinical practice. Therefore, this cross-sectional study aimed to assess the prevalence of possible sarcopenia and its associated factors among older stroke survivors who visited the neurology and rehabilitation departments of three public hospitals in Malaysia.

Methods

We acquired data on sociodemographic characteristics, clinical profiles, malnutrition risk, dietary intake, physical activity level, and health-related quality of life. Possible sarcopenia was diagnosed in individuals with decreased calf circumference and low handgrip strength, as proposed by the Asia Working Group for Sarcopenia (2019). Finally, we performed descriptive analysis and binary logistic regression.

Results

Among 196 older adults with stroke (mean± standard deviation of age: 67.60 ± 5.70 years), 42.3% had possible sarcopenia, with a higher prevalence in the more advanced age group (≥70 years). In univariable analysis, possible sarcopenia was significantly associated with anthropometric indices, malnutrition risk, nutrient intake, physical activity level, and health-related quality of life. In multivariable analysis, body mass index (adjusted odds ratio [AOR]=0.57; 95% confidence interval [CI], 0.43–0.75) was the only factor associated with possible sarcopenia among individuals aged ≥70 years. Recurrent stroke (AOR=3.48; 95% CI, 1.02–11.92), body mass index (AOR=0.64; 95% CI, 0.54–0.76), and EQ-5D index (AOR=0.15; 95% CI, 0.03–0.78) were significantly associated with possible sarcopenia in the 60–69-year age group.

Conclusion

The prevalence of possible sarcopenia among community-dwelling older stroke survivors was high. Therefore, we recommend routine screening for possible sarcopenia to ensure early nutritional and exercise intervention.

Collapse

Effects of Internet-Based Nutrition and Exercise Interventions on the Prevention and Treatment of Sarcopenia in the Elderly. Nutrients 2022;14:nu14122458. [PMID: 35745187 PMCID: PMC9229368 DOI: 10.3390/nu14122458] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 06/02/2022] [Accepted: 06/12/2022] [Indexed: 12/12/2022] Open

Xiang Q, Li Y, Xia X, Deng C, Wu X, Hou L, Yue J, Dong B. Associations of geriatric nutrition risk index and other nutritional risk-related indexes with sarcopenia presence and their value in sarcopenia diagnosis. BMC Geriatr 2022;22:327. [PMID: 35428245 PMCID: PMC9012026 DOI: 10.1186/s12877-022-03036-0] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 04/07/2022] [Indexed: 12/13/2022] Open

Abstract Abstract Objective Standard modalities recommended for sarcopenia diagnosis may be unavailable in primary care settings. We aimed to comprehensively evaluate and compare associations of some better popularized nutritional risk-related indexes with sarcopenia presence and their value in sarcopenia diagnosis in community-dwelling middle-aged and elderly adults, including geriatric nutrition risk index (GNRI), albumin (ALB), calf circumference (CC), mid-arm circumference (MAC), triceps skinfold thickness (TST) and body mass index (BMI). Methods Based on the West China Health and Aging Trend study, the current study included participants aged 50 or older who were recruited in 2018. Sarcopenia-related assessment and diagnosis were in line with Asian Working Group for Sarcopenia 2019. For each single index, we assessed its association with sarcopenia presence by univariate and multivariate logistic regression analysis; we also computed diagnostic measures including the area under the receiver operating characteristic curve (AUC) and sensitivity, specificity, accuracy at the optimal cut-off value determined according to Youden’s index. Results A total of 3829 subjects were included, consisting of 516 and 3313 subjects in the sarcopenia and non-sarcopenia groups, respectively. Regarding the risk for sarcopenia presence, the fully adjusted odds ratios of GNRI, ALB, CC, MAC, TST and BMI per standard deviation decrease were 2.95 (95% CI 2.51–3.47, P < 0.001), 1.01 (95% CI 0.90–1.15, P = 0.816), 4.56 (95% CI 3.82–5.44, P < 0.001), 4.24 (95% CI 3.56–5.05, P < 0.001), 1.67 (95% CI 1.92–1.45, P < 0.001) and 4.09 (95% CI 3.41–4.91, P < 0.001), respectively. Regarding the value in sarcopenia diagnosis in the entire study population, their AUCs could be ordered as MAC (0.85, 95% CI 0.83–0.86) > GNRI (0.80, 95% CI 0.78–0.82), CC (0.83, 95% CI 0.81–0.85), BMI (0.81, 95% CI 0.79–0.83) > TST (0.72, 95% CI 0.70–0.74) > ALB (0.62, 95% CI 0.60–0.65). At the relevant optimal cut-off values, the sensitivity was the highest for CC (0.83, 95% CI 0.80–0.87) and MAC (0.80, 95% CI 0.77–0.84), while GNRI showed the highest specificity (0.79, 95% CI 0.78–0.81) and accuracy (0.78, 95% 0.76–0.79). Conclusion Overall diagnostic performance was the best for MAC, followed by GNRI, CC, BMI, and the worst for TST, ALB in distinguishing sarcopenia from non-sarcopenia in middle-aged and elderly adults in community-based settings. CC or MAC might do better in reducing missed diagnosis, while GNRI was superior in reducing misdiagnosis. Collapse

Lee S, Fujita C, Satoh A. Baseline Body Composition and Physical Activity Level Recommended for Optimal Bone Mineral Density in Young Women. WOMEN'S HEALTH REPORTS 2022;3:351-358. [PMID: 35415709 PMCID: PMC8994430 DOI: 10.1089/whr.2021.0137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 02/22/2022] [Indexed: 10/29/2022]

Liao CD, Chen HC, Liou TH, Lin CL, Huang SW. Impact of Sarcopenia and Obesity on Gait Speed after Total Knee Replacement. J Am Med Dir Assoc 2022;23:631-637. [DOI: 10.1016/j.jamda.2022.01.056] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 01/07/2022] [Accepted: 01/13/2022] [Indexed: 02/01/2023]

Wang X, Jiang J, Guan W, Yu W, Xu T, Li M, Zhang J. The risk factors for developing clustered vertebral compression fractures: a single center study. Endocr Pract 2021;28:243-249. [PMID: 34952220 DOI: 10.1016/j.eprac.2021.12.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Revised: 11/14/2021] [Accepted: 12/15/2021] [Indexed: 11/30/2022]

Tey SL, Huynh DTT, Berde Y, Baggs G, How CH, Low YL, Cheong M, Chow WL, Tan NC, Chew STH. Prevalence of low muscle mass and associated factors in community-dwelling older adults in Singapore. Sci Rep 2021;11:23071. [PMID: 34845250 PMCID: PMC8630119 DOI: 10.1038/s41598-021-02274-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2021] [Accepted: 11/08/2021] [Indexed: 12/25/2022] Open

Abstract

The population is rapidly aging worldwide, and there is an age-related decline in muscle mass. Therefore, it is important to examine the prevalence and associated factors of low appendicular skeletal muscle mass index (ASMI) in older adults. The objectives of this cross-sectional study were (i) to determine the prevalence of low ASMI (ASM/height²) and (ii) to identify factors associated with low ASMI. This study included 1211 community-dwelling adults aged ≥ 65 years. Low ASMI was defined as < 7.0 kg/m² in males and < 5.7 kg/m² in females (bioelectrical impedance analysis). Gender-specific cut-off values of calf circumference for low ASMI were determined. The prevalence of low ASMI in the overall cohort was 59.9%, i.e., 57.0% among males and 61.8% among females, with no significant difference between genders (P = 0.1068). The prevalence of low ASMI was 81.3% in individuals at risk of malnutrition compared to 20.6% in their counterparts with normal nutritional status (P < 0.0001). Participants with low ASMI were older, had lower physical activity scores, and greater likelihood of hospitalization in prior 6 months compared with normal ASMI (all P < 0.0001). Low ASMI was associated with risk of malnutrition (odds ratio: 3.58 for medium risk, odds ratio: 12.50 for high risk), older age, smoking, drinking, smaller calf circumference, and lower bone mass (all P ≤ 0.0328). Cut-off values of calf circumference for low ASMI for males was 33.4 cm and for females was 32.2 cm. In conclusion, we found that low ASMI was highly prevalent among community-dwelling older adults at risk of malnutrition. Other significant factors associated with low ASMI were age, smoking, drinking, calf circumference, and bone mass. Screening community-dwelling older adults for risk of malnutrition can prevent or delay onset of low ASMI.

Collapse

Gao Q, Hu K, Yan C, Zhao B, Mei F, Chen F, Zhao L, Shang Y, Ma Y, Ma B. Associated Factors of Sarcopenia in Community-Dwelling Older Adults: A Systematic Review and Meta-Analysis. Nutrients 2021;13:nu13124291. [PMID: 34959843 PMCID: PMC8707132 DOI: 10.3390/nu13124291] [Citation(s) in RCA: 159] [Impact Index Per Article: 39.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 10/31/2021] [Accepted: 11/05/2021] [Indexed: 12/19/2022] Open

Abstract

(1) Background: To review the associated factors of sarcopenia in community-dwelling older adults. (2) Methods: PubMed, Embase, Web of Science, and four Chinese electronic databases were searched for observational studies that reported the associated factors of sarcopenia from inception to August 2021. Two researchers independently selected the literature, evaluated their quality, and extracted relevant data. The pooled odds ratio (OR) and its 95% confidence interval (CI) were calculated for each associated factors of sarcopenia using random-effects/fixed-effects models. Publication bias was assessed using funnel plot and the Eggers test. We performed statistical analysis using Stata 15.0 software. (3) Results: A total of 68 studies comprising 98,502 cases were included. Sociodemographic associated factors of sarcopenia among community-dwelling older adults included age (OR = 1.12, 95% CI: 1.10-1.13), marital status (singled, divorced, or widowed) (OR = 1.57, 95% CI: 1.08-2.28), disability for activities of daily living (ADL) (OR = 1.49, 95% CI: 1.15-1.92), and underweight (OR = 3.78, 95% CI: 2.55-5.60). Behavioral associated factors included smoking (OR = 1.20, 95% CI: 1.10-1.21), physical inactivity (OR = 1.73, 95% CI: 1.48-2.01), malnutrition/malnutrition risk (OR = 2.99, 95% CI: 2.40-3.72), long (OR = 2.30, 95% CI: 1.37-3.86) and short (OR = 3.32, 95% CI: 1.86-5.93) sleeping time, and living alone (OR = 1.55, 95% CI: 1.00-2.40). Disease-related associated factors included diabetes (OR = 1.40, 95% CI: 1.18-1.66), cognitive impairment (OR = 1.62, 95% CI: 1.05-2.51), heart diseases (OR = 1.14, 95% CI: 1.00-1.30), respiratory diseases (OR = 1.22, 95% CI: 1.09-1.36), osteopenia/osteoporosis (OR = 2.73, 95% CI: 1.63-4.57), osteoarthritis (OR = 1.33, 95% CI: 1.23-1.44), depression (OR = 1.46, 95% CI: 1.17-1.83), falls (OR = 1.28, 95% CI: 1.14-1.44), anorexia (OR = 1.50, 95% CI: 1.14-1.96), and anemia (OR = 1.39, 95% CI: 1.06-1.82). However, it remained unknown whether gender (female: OR = 1.10, 95% CI: 0.80-1.51; male: OR = 1.50, 95% CI: 0.96-2.34), overweight/obesity (OR = 0.27, 95% CI: 0.17-0.44), drinking (OR = 0.92, 95% CI: 0.84-1.01), hypertension (OR = 0.98, 95% CI: 0.84-1.14), hyperlipidemia (OR = 1.14, 95% CI: 0.89-1.47), stroke (OR = 1.70, 95% CI: 0.69-4.17), cancer (OR = 0.88, 95% CI: 0.85-0.92), pain (OR = 1.08, 95% CI: 0.98-1.20), liver disease (OR = 0.88, 95% CI: 0.85-0.91), and kidney disease (OR = 2.52, 95% CI: 0.19-33.30) were associated with sarcopenia. (4) Conclusions: There are many sociodemographic, behavioral, and disease-related associated factors of sarcopenia in community-dwelling older adults. Our view provides evidence for the early identification of high-risk individuals and the development of relevant interventions to prevent sarcopenia in community-dwelling older adults.

Collapse

Affiliation(s)

Qianqian Gao Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China; (Q.G.); (K.H.); (B.Z.); (F.M.); (F.C.); (L.Z.) Evidence-based Nursing Center, School of Nursing, Lanzhou University, Lanzhou 730000, China;
Kaiyan Hu Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China; (Q.G.); (K.H.); (B.Z.); (F.M.); (F.C.); (L.Z.)
Chunjuan Yan School of Public Health, Gansu University of Traditional Chinese Medicine, Lanzhou 730000, China;
Bing Zhao Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China; (Q.G.); (K.H.); (B.Z.); (F.M.); (F.C.); (L.Z.)
Fan Mei Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China; (Q.G.); (K.H.); (B.Z.); (F.M.); (F.C.); (L.Z.) Evidence-based Nursing Center, School of Nursing, Lanzhou University, Lanzhou 730000, China;
Fei Chen Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China; (Q.G.); (K.H.); (B.Z.); (F.M.); (F.C.); (L.Z.) Evidence-based Nursing Center, School of Nursing, Lanzhou University, Lanzhou 730000, China;
Li Zhao Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China; (Q.G.); (K.H.); (B.Z.); (F.M.); (F.C.); (L.Z.) Evidence-based Nursing Center, School of Nursing, Lanzhou University, Lanzhou 730000, China;
Yi Shang Department of General Surgery, The Second Hospital, Lanzhou University, Lanzhou 730000, China;
Yuxia Ma Evidence-based Nursing Center, School of Nursing, Lanzhou University, Lanzhou 730000, China;
Bin Ma Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China; (Q.G.); (K.H.); (B.Z.); (F.M.); (F.C.); (L.Z.) Evidence-based Nursing Center, School of Nursing, Lanzhou University, Lanzhou 730000, China; Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou 730000, China Correspondence: ; Tel.: +86-139-1998-8858

Collapse

Effects of Sarcopenic Obesity and Its Confounders on Knee Range of Motion Outcome after Total Knee Replacement in Older Adults with Knee Osteoarthritis: A Retrospective Study. Nutrients 2021;13:nu13113817. [PMID: 34836073 PMCID: PMC8620899 DOI: 10.3390/nu13113817] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 10/23/2021] [Accepted: 10/25/2021] [Indexed: 12/24/2022] Open

Abstract

Sarcopenic obesity is closely associated with knee osteoarthritis (KOA) and has high risk of total knee replacement (TKR). In addition, poor nutrition status may lead to sarcopenia and physical frailty in KOA and is negatively associated with surgery outcome after TKR. This study investigated the effects of sarcopenic obesity and its confounding factors on recovery in range of motion (ROM) after total knee replacement (TKR) in older adults with KOA. A total of 587 older adults, aged ≥60 years, who had a diagnosis of KOA and underwent TKR, were enrolled in this retrospective cohort study. Sarcopenia and obesity were defined based on cutoff values of appendicular mass index and body mass index for Asian people. Based on the sarcopenia and obesity definitions, patients were classified into three body-composition groups before TKR: sarcopenic-obese, obese, and non-obese. All patients were asked to attend postoperative outpatient follow-up admissions. Knee flexion ROM was measured before and after surgery. A ROM cutoff of 125 degrees was used to identify poor recovery post-surgery. Kaplan-Meier curve analysis was performed to measure the probability of poor ROM recovery among study groups. Cox multivariate regression models were established to calculate the hazard ratios (HRs) of postoperative poor ROM recovery, using potential confounding factors including age, sex, comorbidity, risk of malnutrition, preoperative ROM, and outpatient follow-up duration as covariates. Analyses results showed that patients in the obese and sarcopenic-obese groups had a higher probability of poor ROM recovery compared to the non-obese group (all p < 0.001). Among all body-composition groups, the sarcopenic-obese group yielded the highest risk of postoperative physical difficulty (adjusted HR = 1.63, p = 0.03), independent to the potential confounding factors. Sarcopenic obesity is likely at the high risk of poor ROM outcome following TKR in older individuals with KOA.

Collapse

Chang CF, Yeh YL, Chang HY, Tsai SH, Wang JY. Prevalence and Risk Factors of Sarcopenia among Older Adults Aged ≥65 Years Admitted to Daycare Centers of Taiwan: Using AWGS 2019 Guidelines. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021;18:ijerph18168299. [PMID: 34444047 PMCID: PMC8392701 DOI: 10.3390/ijerph18168299] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 07/31/2021] [Accepted: 08/03/2021] [Indexed: 12/28/2022]

Pan SQ, Li YM, Li XF, Xiong R. Sarcopenia in geriatric patients from the plateau region of Qinghai-Tibet: A cross-sectional study. World J Clin Cases 2021;9:5092-5101. [PMID: 34307560 PMCID: PMC8283610 DOI: 10.12998/wjcc.v9.i19.5092] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 04/08/2021] [Accepted: 04/20/2021] [Indexed: 02/06/2023] Open

Abstract

BACKGROUND

Sarcopenia is an age-related decline in skeletal muscle mass, which depends on an assessment of muscle strength and muscle mass. It has been reported that the prevalence of sarcopenia in non-hospitalized elderly people was 9.0%-18.5% in the lowland plains. However, epidemiological investigations of sarcopenia in plateau regions are limited. The city of Xining in Qinghai Province (altitude 2260 m) is the sole point of access to the Qinghai-Tibet plateau. We hypothesized that the diverse ethnicities or dietary habits of the people living in the plateau may influence the prevalence of sarcopenia.

AIM

To investigate the prevalence and risk factors of sarcopenia in geriatric patients from the Qinghai-Tibet plateau region.

METHODS

From October to December 2018, 150 hospitalized geriatric patients (72.4 ± 5.60 years) from Xining City (altitude 2260 m) in Qinghai Province were recruited. Collected data included demographics, history of fall, nutritional status, self-care ability, depression, handgrip, muscle mass, and 6-m gait speed. Sarcopenia was diagnosed based on the 2014 criteria of the Asian Working Group for Sarcopenia.

RESULTS

The overall rate of sarcopenia was 20% (8.7 and 11.3% in men and women, respectively). Binary logistic regression analysis indicated that widowhood was associated with sarcopenia, while higher body mass index and beef and mutton consumption were protective.

CONCLUSION

The prevalence of sarcopenia in hospitalized geriatric patients in the Qinghai-Tibet plateau region was higher than that in the plain region and in non-hospitalized geriatric people (reported elsewhere). Specific cultural features of the region, including ethnicity, brewed tea and ghee consumption, were not significantly associated with sarcopenia. Higher body mass index and consumption of beef and mutton were protective, while patients who were widowed was at increased risk.

Collapse

Drami I, Pring ET, Gould L, Malietzis G, Naghibi M, Athanasiou T, Glynne-Jones R, Jenkins JT. Body Composition and Dose-limiting Toxicity in Colorectal Cancer Chemotherapy Treatment; a Systematic Review of the Literature. Could Muscle Mass be the New Body Surface Area in Chemotherapy Dosing? Clin Oncol (R Coll Radiol) 2021;33:e540-e552. [PMID: 34147322 DOI: 10.1016/j.clon.2021.05.011] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 04/07/2021] [Accepted: 05/21/2021] [Indexed: 12/25/2022]

Abstract

Chemotherapy dosing is traditionally based on body surface area calculations; however, these calculations ignore separate tissue compartments, such as the lean body mass (LBM), which is considered a big pool of drug distribution. In our era, colorectal cancer patients undergo a plethora of computed tomography scans as part of their diagnosis, staging and monitoring, which could easily be used for body composition analysis and LBM calculation, allowing for personalised chemotherapy dosing. This systematic review aims to evaluate the effect of muscle mass on dose-limiting toxicity (DLT), among different chemotherapy regimens used in colorectal cancer patients. This review was carried out according to the PRISMA guidelines. MEDLINE and EMBASE databases were searched from 1946 to August 2019. The primary search terms were 'sarcopenia', 'myopenia', 'chemotherapy toxicity', 'chemotherapy dosing', 'dose limiting toxicity', 'colorectal cancer', 'primary colorectal cancer' and 'metastatic colorectal cancer'. Outcomes of interest were - DLT and chemotoxicity related to body composition, and chemotherapy dosing on LBM. In total, 363 studies were identified, with 10 studies fulfilling the selection criteria. Seven studies were retrospective and three were prospective. Most studies used the same body composition analysis software but the chemotherapy regimens used varied. Due to marked study heterogeneity, quantitative data synthesis was not possible. Two studies described a toxicity cut-off value for 5-fluorouracil and one for oxaliplatin based on LBM. The rest of the studies showed an association between different body composition metrics and DLTs. Prospective studies are required with a larger colorectal cancer cohort, longitudinal monitoring of body composition changes during treatment, similar body composition analysis techniques, agreed cut-off values and standardised chemotherapy regimens. Incorporation of body composition analysis in the clinical setting will allow early identification of sarcopenic patients, personalised dosing based on their LBM and early optimisation of these patients undergoing chemotherapy.

Collapse

Ning HT, Du Y, Zhao LJ, Tian Q, Feng H, Deng HW. Racial and gender differences in the relationship between sarcopenia and bone mineral density among older adults. Osteoporos Int 2021;32:841-851. [PMID: 33231702 PMCID: PMC8044008 DOI: 10.1007/s00198-020-05744-y] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Accepted: 11/13/2020] [Indexed: 12/19/2022]

Hasegawa Y, Takahashi F, Hashimoto Y, Munekawa C, Hosomi Y, Okamura T, Okada H, Senmaru T, Nakanishi N, Majima S, Ushigome E, Hamaguchi M, Yamazaki M, Fukui M. Effect of COVID-19 Pandemic on the Change in Skeletal Muscle Mass in Older Patients with Type 2 Diabetes: A Retrospective Cohort Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021;18:ijerph18084188. [PMID: 33920957 PMCID: PMC8071268 DOI: 10.3390/ijerph18084188] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 04/08/2021] [Accepted: 04/14/2021] [Indexed: 02/07/2023]

Sex-specific differences in the prevalence of sarcopenia among pre-frail community-dwelling older adults in Saudi Arabia. Saudi J Biol Sci 2021;28:4005-4009. [PMID: 34220258 PMCID: PMC8241628 DOI: 10.1016/j.sjbs.2021.04.010] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Revised: 03/29/2021] [Accepted: 04/04/2021] [Indexed: 12/25/2022] Open

Abstract

Objectives

To assess sex differences in the prevalence of sarcopenia among pre-frail community-dwelling older adults in Saudi Arabia.

Methods

This was a cross-sectional study conducted at a tertiary-level hospital in Riyadh, Saudi Arabia, in 2019. The study participants were pre-frail community-dwelling older adults, according to the Edmonton Frail Scale. The SARC-F questionnaire was used to diagnose sarcopenia. The Katz Activities of Daily Living (ADL) was used to rank the adequacy of performance in six functions: bathing, dressing, toileting, transferring, continence, and feeding, while the Lawton Instrumental Activities of Daily Living scale was used to assess the more complex ADL necessary for living in the community.

Results

In total, 283 community-dwelling older adults were recruited for this study, with a mean (±SD) age of 70.77 (±6.26) years; 72.7% of the total were female participants. The majority (85.5%) of the patients reported that they needed home care assistance. The mean ADL score of the participants was high, indicating high function and independence (KATZ-ADL: M 4.60 SD 1.75; Lawton Brody: 60%). The overall prevalence of sarcopenia among the studied participants was 65.7%, which was significantly higher among females (71.9%) than among males (59.1%), with a P-value of 0.007. Among the demographic characteristics of the participants, there was a significant difference in the need for home care assistance in female sarcopenic and non-sarcopenic participants (74.1% vs. 25.9%, p = 0.017), but without demonstrable difference in males. Additionally, there was a significant difference (P < 0.05) in the prevalence of sarcopenia between male and female participants according to ADL scores. The strongest predictor for sarcopenia prevalence in males was an ADL score <2 according to the Katz index, with an odds ratio of 6.5, while the need for home care was the only significant predictor of sarcopenia among female participants (OR 3.25, CI: 1.14–9.25, p = 0.02).

Conclusion

Overall, almost two-thirds of the studied pre-frail community-dwelling older adult population were sarcopenic. The prevalence of sarcopenia was significantly higher among females than males. The strongest predictor of sarcopenia was an ADL score <2 based on the Katz index in males and the need for home care assistance in females.

Collapse

Liao CD, Chen HC, Huang SW, Liou TH. Impact of sarcopenia on rehabilitation outcomes after total knee replacement in older adults with knee osteoarthritis. Ther Adv Musculoskelet Dis 2021;13:1759720X21998508. [PMID: 33786069 PMCID: PMC7958164 DOI: 10.1177/1759720x21998508] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 02/08/2021] [Indexed: 12/20/2022] Open

Abstract

Introduction:

Knee osteoarthritis (KOA) is associated with an increased risk of sarcopenia, and aging-related muscle deterioration continues after total knee replacement (TKR). Low skeletal muscle mass index may influence postoperative rehabilitation outcomes. Through this study, we aimed to investigate the impact of preoperative sarcopenia on clinical outcomes after postoperative rehabilitation in older Asian adults.

Methods:

A total of 190 older adults (39 men, 151 women) were enrolled from two previous trials and were classified as having no sarcopenia, class I sarcopenia, or class II sarcopenia according to definitions provided by the Asian Working Group for Sarcopenia (AWGS) and the European Working Group on Sarcopenia in Older People (EWGSOP). All patients were retrospectively analyzed before (T₀) and after (T₁) TKR rehabilitation and 10 months after surgery (T₂). The outcome measures included the timed up-and-go test (TUGT), gait speed (GS), timed chair rise (TCR), and the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) pain and physical difficulty (WOMAC-PF). With patient characteristics and T₀ scores as covariates, an analysis of variance was performed to identify intergroup differences in changes of all outcome measures at T₁ and T₂.

Results:

According to the definitions of both the AWGS and EWGSOP, patients with class I and class II sarcopenia exhibited minor changes in TUGT, GS, TCR, and WOMAC-PF at T₁ and T₂ (all p < 0.05), compared with those without sarcopenia. For patients classified as having sarcopenia based on AWGS and EWGSOP definitions, no significant intergroup differences in WOMAC pain score was observed at T₁ or T₂ (all p > 0.05).

Conclusions:

Sarcopenia independently had negative impacts on the treatment effects of rehabilitation on physical mobility but not on pain outcome after TKR in older adults with KOA.

Collapse

Ho LYW, Cheung DSK, Kwan RYC, Wong ASW, Lai CKY. Factors associated with frailty transition at different follow-up intervals: A scoping review. Geriatr Nurs 2021;42:555-565. [PMID: 33143855 DOI: 10.1016/j.gerinurse.2020.10.005] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Revised: 10/10/2020] [Accepted: 10/13/2020] [Indexed: 11/20/2022]

Xu HQ, Sun JQ, Liu Y, Tian L, Liu JM, Shi JP, Liu M, Zheng XY. Cutpoints for Muscle Mass and Strength Derived from Weakness or Mobility Impairment and Compared with Other Diagnostic Criteria in Community-Dwelling Elderly People. Calcif Tissue Int 2021;108:324-345. [PMID: 33247326 DOI: 10.1007/s00223-020-00778-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Accepted: 11/04/2020] [Indexed: 10/22/2022]

Pang BWJ, Wee SL, Chen KK, Lau LK, Jabbar KA, Seah WT, Ng DHM, Tan QLL, Jagadish MU, Ng TP. Coexistence of osteoporosis, sarcopenia and obesity in community-dwelling adults - The Yishun Study. Osteoporos Sarcopenia 2021;7:17-23. [PMID: 33869801 PMCID: PMC8044590 DOI: 10.1016/j.afos.2020.12.002] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Revised: 12/14/2020] [Accepted: 12/21/2020] [Indexed: 12/12/2022] Open

Tan VMH, Pang BWJ, Lau LK, Jabbar KA, Seah WT, Chen KK, Ng TP, Wee SL. Malnutrition and Sarcopenia in Community-Dwelling Adults in Singapore: Yishun Health Study. J Nutr Health Aging 2021;25:374-381. [PMID: 33575731 DOI: 10.1007/s12603-020-1542-x] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]

Abstract

OBJECTIVES

To determine the overlapping prevalence of malnutrition and sarcopenia and the association between parameters of malnutrition with muscle mass and strength in a community-dwelling Singaporean adult population.

DESIGN

This was a cross-sectional study.

SETTING

Large north-eastern residential town of Yishun in Singapore.

PARTICIPANTS

Random sampling of community-dwelling Singaporeans aged 21-90 years old (n=541).

MEASUREMENTS

Anthropometry, body composition and handgrip strength (muscle strength) were measured. Sarcopenia was identified using dual-energy x-ray absorptiometry scan (muscle mass). Nutritional status was measured using Mini Nutritional Assessment (MNA-SF). Other questionnaires collected included physical activity and cognition. Associations between nutritional status with sarcopenia as well as with muscle mass and strength were analysed using multinomial logistics and linear regressions.

RESULTS

The overall population-adjusted prevalence of those at nutritional risk and malnourished were 18.5% and 0.1% respectively. More than a third of participants (35%) who were at nutritional risk were sarcopenic. Malnourished participants were all sarcopenic (100%, N=2) whereas those who were sarcopenic, 27.0% (N=37) were at nutritional risk/malnourished. Being at nutritional risk/malnourished was significantly associated with 2 to 3 times increased odds of sarcopenia in multivariate analyses adjusting for age, gender, physical activity level and cognition, and fat mass index. Favourable MNA parameter scores on food intake and BMI were positively associated with greater muscle mass and handgrip strength (p<0.05).

CONCLUSION

Given the overlapping clinical presentation of malnutrition and sarcopenia, community screening protocols should include combination screening of nutritional status and sarcopenia with appropriate interventions to mitigate risk of adverse health outcomes.

Collapse

Shilian H, Jing W, Cui C, Xinchun W. Analysis of epidemiological trends in chronic diseases of Chinese residents. Aging Med (Milton) 2020;3:226-233. [PMID: 33392427 PMCID: PMC7771563 DOI: 10.1002/agm2.12134] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Accepted: 10/18/2020] [Indexed: 12/31/2022] Open

Gutiérrez-Hermosillo H, de León-González ED, Medina-Chávez JH, Torres-Naranjo F, Martínez-Cordero C, Ferrari S. Hand grip strength and early mortality after hip fracture. Arch Osteoporos 2020;15:185. [PMID: 33219411 DOI: 10.1007/s11657-020-00750-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Accepted: 05/04/2020] [Indexed: 02/03/2023]

Xu HQ, Liu JM, Zhang X, Xue YT, Shi JP, Chen W, Zheng XY. Estimation of skeletal muscle mass by bioimpedance and differences among skeletal muscle mass indices for assessing sarcopenia. Clin Nutr 2020;40:2308-2318. [PMID: 33121834 DOI: 10.1016/j.clnu.2020.10.021] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Revised: 09/29/2020] [Accepted: 10/13/2020] [Indexed: 11/17/2022]

Abstract

BACKGROUND

It is crucial to assess age-related muscle mass changes and derived indices differences in geriatric medicine. We aimed to develop and validate four bioimpedance analysis (BIA) prediction equations against dual-energy X-ray absorptiometry (DEXA) and magnetic resonance image (MRI) in estimating skeletal muscle mass and to compare the differences among skeletal muscle mass indices, cutoff values, and corresponding prevalence rates of low muscle mass for assessing sarcopenia in Chinese adults.

METHODS

We measured the height (Ht), weight (Wt), appendicular lean mass (ALM) or skeletal muscle mass (ASM), total lean body mass (LBM) or skeletal muscle mass (TSM) obtained using DEXA or MRI, and a multi-frequency BIA (BCA _II;50, 250 kHz), in 371 adults aged 18.0-87.0 years. We also collected gender, age, Ht, Wt, and impedance indexes (Ht²/R₅₀, Ht²/R₂₅₀, R₅₀/Ht², R₂₅₀/Ht²) from 30,500 adults aged 18-96 years living in China. Multiple regression analyses were used to derive four prediction equations by BIA, and double cross-validation techniques and Bland-Altman analyses were used to test agreement. Various muscle mass indices and prevalence rates were depicted by line plots in regard to age trends.

RESULTS

Satisfactory results were found in the four prediction models as they had the larger R² (0.833-0.930) values and low SEE (1.409-2.335 kg) values. The predictive variables included impedance indexes (Ht²/R₅₀, R₅₀/Ht², R₂₅₀/Ht²), gender, age, Wt, and Ht. The corresponding prevalence rates of low muscle mass exhibited significant differences according to the various muscle mass indices adjusted for Ht, Wt, or body mass index (BMI), in addition to the cutoff values based on two standard deviations (2SD) of young people or the lower 20% of the study group.

CONCLUSIONS

The BIA equations have the potential to be applied as a practical method of quantifying skeletal muscle mass in Chinese adults. However, the operational methods that are most appropriate for determining the degree of low muscle mass that actually contributes to sarcopenia remains inconclusive.

Collapse

Zhang FM, Ma BW, Huang YY, Chen WZ, Chen JJ, Dong QT, Chen WS, Chen XL, Shen X, Yu Z, Zhuang CL. Laparoscopic colorectal cancer surgery reduces the adverse impacts of sarcopenia on postoperative outcomes: a propensity score-matched analysis. Surg Endosc 2020;34:4582-4592. [PMID: 31741159 DOI: 10.1007/s00464-019-07249-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Accepted: 11/05/2019] [Indexed: 01/25/2023]

Lin YC, Lu YC, Chen FP, Lin YC, Cheung YC, Chan WP. Selecting Appropriate Sarcopenia Screening Methods for Asian Populations. J Clin Med 2020;9:jcm9082333. [PMID: 32707874 PMCID: PMC7464734 DOI: 10.3390/jcm9082333] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2020] [Revised: 07/09/2020] [Accepted: 07/17/2020] [Indexed: 12/05/2022] Open

Pang BWJ, Wee SL, Lau LK, Jabbar KA, Seah WT, Ng DHM, Ling Tan QL, Chen KK, Jagadish MU, Ng TP. Prevalence and Associated Factors of Sarcopenia in Singaporean Adults-The Yishun Study. J Am Med Dir Assoc 2020;22:885.e1-885.e10. [PMID: 32693999 DOI: 10.1016/j.jamda.2020.05.029] [Citation(s) in RCA: 62] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 05/12/2020] [Accepted: 05/15/2020] [Indexed: 12/20/2022]

Abstract

OBJECTIVES

To describe the normative values of sarcopenia among community-dwelling adults (≥21 years of age); compare the prevalence of sarcopenia using Asian Working Group for Sarcopenia criteria, 2014 (AWGS2014), Asian Working Group for Sarcopenia criteria, 2019 (AWGS2019), and European Working Group on Sarcopenia in Older People criteria, 2018 (EWGSOP2) guidelines; and identify factors associated with sarcopenia.

DESIGN

Participants were recruited through random sampling. Sarcopenia assessments were performed using a dual-energy x-ray absorptiometry scan (muscle mass), handgrip test (muscle strength), and usual walking test (physical performance). Questionnaires were administered to evaluate lifestyle and cognition.

SETTING AND PARTICIPANTS

In total, 542 community-dwelling Singaporeans were recruited (21‒90 years old, 57.9% women).

METHODS

We assessed anthropometry, body composition, and questionnaire-based physical and cognitive factors, and estimated sarcopenia prevalence according to the AWGS2014, AWGS2019, and EWGSOP2 recommendations, and examined associations using logistic regression.

RESULTS

According to AWGS2019, the Singapore population-adjusted sarcopenia prevalence was 13.6% (men 13.0%; women 14.2%) overall, and 32.2% (men 33.7%, women 30.9%) in those aged 60 years and above. The cut-offs derived from young adult reference group for low appendicular lean mass index were 5.28 kg/m2 for men and 3.69 kg/m2 for women (lower than AWGS recommended cut-off); for gait speed it was 0.82 m/s, (AWGS2019 recommended cut-off 1.0 m/s, AWGS2014 cut-off was 0.8 m/s); and for handgrip strength it was 27.9 kg/m2 for men and 16.7 kg/m2 for women (close to AWGS2019 recommendation). Age, sex, marital status, alcoholism, physical activity, body mass index, waist circumference, and global cognition were associated with sarcopenia (P < .05).

CONCLUSIONS AND IMPLICATIONS

This is the first study to provide reference values of muscle mass, strength, and gait speed across the adult lifespan of Singaporeans. Using AWGS2019 criteria, sarcopenia is prominent in older age (32.2% in ≥60 years old), but it is already nontrivial (6.9%) among young and middle-age persons. Multidomain lifestyle modifications addressing muscle strength, cognition, and nutrition over the adult lifespan are important to delay the development of sarcopenia.

Collapse

Walowski CO, Braun W, Maisch MJ, Jensen B, Peine S, Norman K, Müller MJ, Bosy-Westphal A. Reference Values for Skeletal Muscle Mass - Current Concepts and Methodological Considerations. Nutrients 2020;12:nu12030755. [PMID: 32178373 PMCID: PMC7146130 DOI: 10.3390/nu12030755] [Citation(s) in RCA: 118] [Impact Index Per Article: 23.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Revised: 03/06/2020] [Accepted: 03/09/2020] [Indexed: 12/12/2022] Open

Ji T, Zhang L, Tang Z, Sun F, Li Y, Ma L. Prevalence of Normal-Weight Obesity in Community-Dwelling Chinese Older Adults: Results from the Beijing Longitudinal Study of Aging. Diabetes Metab Syndr Obes 2020;13:1611-1617. [PMID: 32494178 PMCID: PMC7229781 DOI: 10.2147/dmso.s246884] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Accepted: 04/25/2020] [Indexed: 12/25/2022] Open

Abstract

OBJECTIVE

Normal-weight obesity (NWO) is characterized by high body fat percentage (BFP) in individuals with normal body mass index (BMI). This condition may increase the risk of serious health problems, such as cardiovascular diseases, diabetes, insulin resistance, hypertension, and metabolic syndrome. However, the prevalence of NWO in older adults in Beijing remains unclear. This study aimed to investigate the prevalence of overweight and obesity among older adults in Beijing, using three obesity assessment indicators: BMI, waist circumference, and BFP.

DESIGN

Cross-sectional study.

SETTING AND PARTICIPANTS

Data were obtained from the 2012 Beijing Longitudinal Study of Aging, which used a stratified, sectional, random, and cluster sampling method.

METHODS

Questionnaires, physical examinations, and laboratory tests were completed. Obesity was divided into four categories based on combinations of BMI and BFP: non-obese, muscle-type obesity, NWO and fatty obesity.

RESULTS

A total of 2393 community-dwelling older adults with an average age of 72.98±8.09 years old were recruited. Of them, 1051 were male (43.92%) and 1245 were living in rural areas (52.03%). The prevalence of overweight and obesity among older people in Beijing was 35.5% and 16.1%, respectively. When the sample was divided according to obesity classification, the proportion of muscular obesity, NWO and adipose obesity was 14.7%, 10.7%, and 41.8%, respectively. The prevalence of central obesity was 62.3%. The prevalence of obesity decreased with age, but it was higher in females than in males as well as among individuals living in urban areas than in individuals living in rural areas.

CONCLUSION

The prevalence of NWO was 10.7% among older adults in Beijing and increased with age. Older adults who are female or living in urban areas should be instructed to take measures aimed at reducing body fat and increasing muscle strength.

Collapse

Du Y, Wang X, Xie H, Zheng S, Wu X, Zhu X, Zhang X, Xue S, Li H, Hong W, Tang W, Chen M, Cheng Q, Sun J. Sex differences in the prevalence and adverse outcomes of sarcopenia and sarcopenic obesity in community dwelling elderly in East China using the AWGS criteria. BMC Endocr Disord 2019;19:109. [PMID: 31653213 PMCID: PMC6814981 DOI: 10.1186/s12902-019-0432-x] [Citation(s) in RCA: 99] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Accepted: 09/20/2019] [Indexed: 12/25/2022] Open

Affiliation(s)

Yanping Du Department of Osteoporosis and Bone Disease, Fudan University affiliated Huadong Hospital, 221 West Yan An Road, Shanghai, 200040 China Research Section of Geriatric Metabolic Bone Disease, Shanghai Geriatric Institute, Shanghai, China National Clinical Research Center for Aging and Medicine, Fudan University, Shanghai, China
Xiaodong Wang The Zhoujiaqiao Community Health Service Center, Shanghai, China
Hua Xie Nutrition Department, Fudan University affiliated Huadong Hospital, Shanghai, China, 221 West Yan An Road, Shanghai, 200040 China
Songbai Zheng Department of Osteoporosis and Bone Disease, Fudan University affiliated Huadong Hospital, 221 West Yan An Road, Shanghai, 200040 China Research Section of Geriatric Metabolic Bone Disease, Shanghai Geriatric Institute, Shanghai, China National Clinical Research Center for Aging and Medicine, Fudan University, Shanghai, China
Xiaoqing Wu Department of Osteoporosis and Bone Disease, Fudan University affiliated Huadong Hospital, 221 West Yan An Road, Shanghai, 200040 China Research Section of Geriatric Metabolic Bone Disease, Shanghai Geriatric Institute, Shanghai, China National Clinical Research Center for Aging and Medicine, Fudan University, Shanghai, China
Xiaoying Zhu Department of Osteoporosis and Bone Disease, Fudan University affiliated Huadong Hospital, 221 West Yan An Road, Shanghai, 200040 China Research Section of Geriatric Metabolic Bone Disease, Shanghai Geriatric Institute, Shanghai, China National Clinical Research Center for Aging and Medicine, Fudan University, Shanghai, China
Xuemei Zhang Department of Osteoporosis and Bone Disease, Fudan University affiliated Huadong Hospital, 221 West Yan An Road, Shanghai, 200040 China Research Section of Geriatric Metabolic Bone Disease, Shanghai Geriatric Institute, Shanghai, China National Clinical Research Center for Aging and Medicine, Fudan University, Shanghai, China
Sihong Xue Department of Osteoporosis and Bone Disease, Fudan University affiliated Huadong Hospital, 221 West Yan An Road, Shanghai, 200040 China Research Section of Geriatric Metabolic Bone Disease, Shanghai Geriatric Institute, Shanghai, China National Clinical Research Center for Aging and Medicine, Fudan University, Shanghai, China
Huilin Li Department of Osteoporosis and Bone Disease, Fudan University affiliated Huadong Hospital, 221 West Yan An Road, Shanghai, 200040 China Research Section of Geriatric Metabolic Bone Disease, Shanghai Geriatric Institute, Shanghai, China National Clinical Research Center for Aging and Medicine, Fudan University, Shanghai, China
Wei Hong Department of Osteoporosis and Bone Disease, Fudan University affiliated Huadong Hospital, 221 West Yan An Road, Shanghai, 200040 China Research Section of Geriatric Metabolic Bone Disease, Shanghai Geriatric Institute, Shanghai, China National Clinical Research Center for Aging and Medicine, Fudan University, Shanghai, China
Wenjing Tang Department of Osteoporosis and Bone Disease, Fudan University affiliated Huadong Hospital, 221 West Yan An Road, Shanghai, 200040 China Research Section of Geriatric Metabolic Bone Disease, Shanghai Geriatric Institute, Shanghai, China National Clinical Research Center for Aging and Medicine, Fudan University, Shanghai, China
Minmin Chen Department of Osteoporosis and Bone Disease, Fudan University affiliated Huadong Hospital, 221 West Yan An Road, Shanghai, 200040 China Research Section of Geriatric Metabolic Bone Disease, Shanghai Geriatric Institute, Shanghai, China National Clinical Research Center for Aging and Medicine, Fudan University, Shanghai, China
Qun Cheng Department of Osteoporosis and Bone Disease, Fudan University affiliated Huadong Hospital, 221 West Yan An Road, Shanghai, 200040 China Research Section of Geriatric Metabolic Bone Disease, Shanghai Geriatric Institute, Shanghai, China National Clinical Research Center for Aging and Medicine, Fudan University, Shanghai, China
Jianqin Sun Nutrition Department, Fudan University affiliated Huadong Hospital, Shanghai, China, 221 West Yan An Road, Shanghai, 200040 China

Collapse