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de la O V, Fernández-Cruz E, Valdés A, Cifuentes A, Walton J, Martínez JA. Exhaustive Search of Dietary Intake Biomarkers as Objective Tools for Personalized Nutrimetabolomics and Precision Nutrition Implementation. Nutr Rev 2025; 83:925-942. [PMID: 39331531 DOI: 10.1093/nutrit/nuae133] [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] [Indexed: 09/29/2024] Open
Abstract
OBJECTIVE To conduct an exhaustive scoping search of existing literature, incorporating diverse bibliographic sources to elucidate the relationships between metabolite biomarkers in human fluids and dietary intake. BACKGROUND The search for biomarkers linked to specific dietary food intake holds immense significance for precision health and nutrition research. Using objective methods to track food consumption through metabolites offers a more accurate way to provide dietary advice and prescriptions on healthy dietary patterns by healthcare professionals. An extensive investigation was conducted on biomarkers associated with the consumption of several food groups and consumption patterns. Evidence is integrated from observational studies, systematic reviews, and meta-analyses to achieve precision nutrition and metabolism personalization. METHODS Tailored search strategies were applied across databases and gray literature, yielding 158 primary research articles that met strict inclusion criteria. The collected data underwent rigorous analysis using STATA and Python tools. Biomarker-food associations were categorized into 5 groups: cereals and grains, dairy products, protein-rich foods, plant-based foods, and a miscellaneous group. Specific cutoff points (≥3 or ≥4 bibliographic appearances) were established to identify reliable biomarkers indicative of dietary consumption. RESULTS Key metabolites in plasma, serum, and urine revealed intake from different food groups. For cereals and grains, 3-(3,5-dihydroxyphenyl) propanoic acid glucuronide and 3,5-dihydroxybenzoic acid were significant. Omega-3 fatty acids and specific amino acids showcased dairy and protein foods consumption. Nuts and seafood were linked to hypaphorine and trimethylamine N-oxide. The miscellaneous group featured compounds like theobromine, 7-methylxanthine, caffeine, quinic acid, paraxanthine, and theophylline associated with coffee intake. CONCLUSIONS Data collected from this research demonstrate potential for incorporating precision nutrition into clinical settings and nutritional advice based on accurate estimation of food intake. By customizing dietary recommendations based on individualized metabolic profiles, this approach could significantly improve personalized food consumption health prescriptions and support integrating multiple nutritional data.This article is part of a Nutrition Reviews special collection on Precision Nutrition.
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Affiliation(s)
- Victor de la O
- Nutrition Precision and Cardiometabolic Health Program of IMDEA-Food Institute (Madrid Institute for Advances Studies), 28040, Madrid, Spain
- Faculty of Health Sciences, International University of La Rioja, 26006, Logroño, Spain
| | - Edwin Fernández-Cruz
- Nutrition Precision and Cardiometabolic Health Program of IMDEA-Food Institute (Madrid Institute for Advances Studies), 28040, Madrid, Spain
- Faculty of Health Sciences, International University of La Rioja, 26006, Logroño, Spain
| | - Alberto Valdés
- Foodomics Lab, Institute of Food Science Research, Spanish National Research Council, 28049, Madrid, Spain
| | - Alejandro Cifuentes
- Foodomics Lab, Institute of Food Science Research, Spanish National Research Council, 28049, Madrid, Spain
| | - Janette Walton
- Department of Biological Sciences, Munster Technological University, Cork, Republic of Ireland
| | - J Alfredo Martínez
- Nutrition Precision and Cardiometabolic Health Program of IMDEA-Food Institute (Madrid Institute for Advances Studies), 28040, Madrid, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición, Instituto de Salud Carlos III, 28049, Madrid, Spain
- Department of Medicine and Endocrinology, Campus of Soria, University of Valladolid, Valladolid, Spain
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Ramos-Lopez O, Assmann TS, Astudillo Muñoz EY, Baquerizo-Sedano L, Barrón-Cabrera E, Bernal CA, Bressan J, Cuevas-Sierra A, Dávalos A, De la Cruz-Mosso U, De la Garza AL, De Luis DA, Díaz de la Garza RI, Dos Santos K, Fernández-Condori RC, Fernández-Quintela A, Garcia Diaz DF, Gonzalez-Becerra K, Lopes Rosado E, López de Las Hazas MC, Marín Alejandre BA, Angel Martin A, Martinez-Lopez E, Martínez-Urbistondo D, Milagro FI, Hermsdorff HHM, Muguerza B, Nicoletti CF, Obregón Rivas AM, Parra-Rojas I, Portillo MP, Santos JL, Steemburgo T, Tejero ME, Terán AC, Treviño V, Vizmanos B, Martinez JA. Guidance and Position of RINN22 regarding Precision Nutrition and Nutriomics. Lifestyle Genom 2024; 18:1-19. [PMID: 39617000 PMCID: PMC11844698 DOI: 10.1159/000542789] [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: 08/02/2024] [Accepted: 11/19/2024] [Indexed: 01/16/2025] Open
Abstract
BACKGROUND Precision nutrition is based on the integration of individual's phenotypical and biological characteristics including genetic variants, epigenetic marks, gut microbiota profiles, and metabolite fingerprints as well as medical history, lifestyle practices, and environmental and cultural factors. Thus, nutriomics areas including nutrigenomics, nutrigenetics, nutriepigenetics, nutrimetabolomics, and nutrimetagenomics have emerged to comprehensively understand the complex interactions between nutrients, diet, and the human body's molecular processes through precision nutrition. SUMMARY This document from the Ibero-American Network of Nutriomics and Precision Nutrition (RINN22; https://rinn22.com/) provides a comprehensive overview of the concepts of precision nutrition approaches to guide their application in clinical and public health as well as establish the position of RINN22 regarding the current and future state of precision nutrition. KEY MESSAGES The progress and participation of nutriomics to precision nutrition is an essential pillar for addressing diet-related diseases and developing innovative managing strategies, which will be promoted by advances in bioinformatics, machine learning, and integrative software, as well as the description of specific novel biomarkers. In this context, synthesizing and critically evaluating the latest developments, potential applications, and future needs in the field of nutrition is necessary with a holistic perspective, incorporating progress in omics technologies aimed at precision nutrition interventions. This approach must address and confront healthy, social, food security, physically active lifestyle, sanitation, and sustainability challenges with preventive, participatory, and predictive strategies of personalized, population, and planetary nutrition for a precision tailored health.
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Affiliation(s)
- Omar Ramos-Lopez
- Medicine and Psychology School, Autonomous University of Baja California, Tijuana, Mexico
| | - Taís Silveira Assmann
- Graduate Program in Medical Sciences, Endocrinology, Department of Internal Medicine, Faculty of Medicine, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
| | - Elcy Yaned Astudillo Muñoz
- Grupo de Investigación Gerencia del Cuidado, Facultad de Ciencias de la Salud, Universidad Libre Pereira, Pereira, Colombia
| | | | - Elisa Barrón-Cabrera
- Facultad de Ciencias de la Nutrición y Gastronomía, Universidad Autónoma de Sinaloa, Culiacan, Mexico
| | - Claudio Adrián Bernal
- Cátedra de Bromatología y Nutrición, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Santa Fe, Argentina
| | - Josefina Bressan
- Department of Nutrition and Health, Universidade Federal de Viçosa, Viçosa, Brazil
| | - Amanda Cuevas-Sierra
- Precision Nutrition and Cardiometabolic Health, IMDEA-Alimentacion Institute (Madrid Institute for Advanced Studies), Campus of International Excellence (CEI), UAM+CSIC, Madrid, Spain
| | - Alberto Dávalos
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Laboratory of Epigenetics of Lipid Metabolism, Instituto Madrileño de Estudios Avanzados (IMDEA) Alimentación, CEI UAM+CSIC, Madrid, Spain
| | - Ulises De la Cruz-Mosso
- Red de Inmunonutrición y Genómica Nutricional en las Enfermedades Autoinmunes, Departamento de Neurociencias, Centro Universitario de Ciencias de La Salud, Universidad de Guadalajara, Guadalajara, Mexico
| | - Ana Laura De la Garza
- Universidad Autónoma de Nuevo León, Facultad de Salud Pública y Nutrición, Centro de Investigación en Nutrición y Salud Pública, Monterrey, Mexico
| | - Daniel A. De Luis
- Center of Investigation of Endocrinology and Nutrition, Medicine School and Department of Endocrinology and Investigation, Hospital Clinico Universitario, University of Valladolid, Valladolid, Spain
| | | | - Karina Dos Santos
- Graduate Program in Molecular and Cellular Biology, Federal University of the State of Rio de Janeiro (PPGBMC/UNIRIO), Rio de Janeiro, Brazil
| | | | - Alfredo Fernández-Quintela
- Nutrition and Obesity Group, Department of Nutrition and Food Science, University of the Basque Country (UPV/EHU) and Lucio Lascaray Research Institute, Vitoria-Gasteiz, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Vitoria-Gasteiz, Spain
| | - Diego F. Garcia Diaz
- Department of Nutrition, Faculty of Medicine, University of Chile, Santiago, Chile
| | - Karina Gonzalez-Becerra
- Instituto de Investigación en Genética Molecular, Departamento de Ciencias Médicas y de la Vida, Centro Universitario de la Ciénega, Universidad de Guadalajara, Ocotlán, Mexico
| | - Eliane Lopes Rosado
- Instituto de Nutrição Josué de Castro, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - María-Carmen López de Las Hazas
- Laboratory of Epigenetics of Lipid Metabolism, Instituto Madrileño de Estudios Avanzados (IMDEA) Alimentación, CEI UAM+CSIC, Madrid, Spain
| | | | - Alberto Angel Martin
- Escuela de Nutrición y Dietética, Universidad Industrial de Santander, Bucaramanga, Colombia
| | - Erika Martinez-Lopez
- Instituto de Nutrigenética y Nutrigenómica Traslacional, Departamento de Biología Molecular y Genómica, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Mexico
| | - Diego Martínez-Urbistondo
- Departamento de Medicina Interna, Area de Medicina Vascular-Madrid, Clinica Universidad de Navarra, Madrid, Spain
| | - Fermin I. Milagro
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Department of Nutrition, Food Science and Physiology, Center for Nutrition Research, Faculty of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain
| | | | - Begoña Muguerza
- Universitat Rovira i Virgili, Departament de Bioquímica i Biotecnologia, Nutrigenomics Research Group, Tarragona, Spain
| | | | - Ana Maria Obregón Rivas
- Escuela de Nutrición y Dietética, Facultad de Ciencias para el Cuidado de la Salud, Universidad San Sebastián, Concepción, Chile
| | - Isela Parra-Rojas
- Laboratorio de Investigación en Obesidad y Diabetes, Facultad de Ciencias Químico-Biológicas, Universidad Autónoma de Guerrero, Chilpancingo de Los Bravo, Mexico
| | - Maria Puy Portillo
- Nutrition and Obesity Group, Department of Nutrition and Food Science, Faculty of Pharmacy and Lucio Lascaray Research Center, University of the Basque Country (UPV/EHU), Vitoria-Gasteiz, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Vitoria-Gasteiz, Spain
| | - José L. Santos
- Department of Nutrition, Diabetes, and Metabolism, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Thais Steemburgo
- Graduate Program in Food, Nutrition, and Health, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Maria Elizabeth Tejero
- Laboratorio de Nutrigenómica y Nutrigenética, Instituto Nacional de Medicina Genómica, Mexico City, Mexico
| | - Anny Cristina Terán
- Hospital Verdi Cevallos Balda, Ministerio de Salud Pública del Ecuador, Portoviejo, Ecuador
| | - Victor Treviño
- Tecnologico de Monterrey, The Institute for Obesity Research, Monterrey, Mexico
| | - Bárbara Vizmanos
- Instituto de Nutrigenética y Nutrigenómica Traslacional, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Mexico
| | - J. Alfredo Martinez
- Precision Nutrition Program, Research Institute on Food and Health Sciences IMDEA Food, CSIC-UAM, Madrid, Spain
- Centro de Investigación Biomédica en Red Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Centre of Medicine and Endocrinology, University of Valladolid, Valladolid, Spain
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Ribot-Rodríguez R, Higuera-Gómez A, San-Cristobal R, Micó V, Martínez JA. Comparison of Seven Healthy Lifestyle Scores Cardiometabolic Health: Age, Sex, and Lifestyle Interactions in the NutrIMDEA Web-Based Study. J Epidemiol Glob Health 2023; 13:653-663. [PMID: 37634195 PMCID: PMC10686948 DOI: 10.1007/s44197-023-00140-1] [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: 05/02/2023] [Accepted: 07/05/2023] [Indexed: 08/29/2023] Open
Abstract
BACKGROUND Global health status concerns both the assessment of wellbeing as well as the associated individualized determinants including quality of life and lifestyle factors. This study aimed to evaluate seven cardiometabolic health related scores and the influence, as well as interactions of lifestyle, heart-related and health-related quality of life (HRQoL) factors in order to inform the future implementation of precision public health (PPH). METHODS Data collected from 17,333 participants who were enrolled of the NutrIMDEA study. The data collection period was between May 2020 and November 2020 through an online survey. The baseline questionnaire collected information on socio-demographic data, cardiometabolic history, anthropometric variables and lifestyle aspects. Also, physical and mental component scores of SF12 Health Survey (PCS12/MCS12) were assessed as HRQoL features, which were applied to estimated seven scores (LS7, HLS, 20-years DRS %, FBS, CLI, WAI derived, LWB-I). RESULTS Most indices (except FBS, CLI, 20-years DRS % and WAI derived) showed that cardiometabolic outcomes and HRQoL measures were dependent on interactions by age and sex. The largest ponderal effect was found in PA total and Mediterranean Diet Score (MEDAS-14) interaction using LS7 as reference. However, using LWB-I as standard, the greatest effect was found in the quality-of-life feature MCS12. Noteworthy, LS7 showed good discrimination against PCS12, while LWB-I demonstrated excellent discrimination to MCS12. CONCLUSIONS A major finding was the interplay between MEDAS-14 and PA on the LS7 scale as well as major effects of lifestyle factors and MCS12/PCS12 among scores, which need to be accounted with precision when implementing cardiometabolic screenings with PPH purposes.
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Affiliation(s)
- R Ribot-Rodríguez
- Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute (Madrid Institute for Advanced Studies), Campus of International Excellence (CEI) UAM+CSIC, 28049, Madrid, Spain
| | - A Higuera-Gómez
- Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute (Madrid Institute for Advanced Studies), Campus of International Excellence (CEI) UAM+CSIC, 28049, Madrid, Spain
| | - R San-Cristobal
- Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute (Madrid Institute for Advanced Studies), Campus of International Excellence (CEI) UAM+CSIC, 28049, Madrid, Spain.
- Centre Nutrition, Santé et Société (NUTRISS), Institut sur la Nutrition et les Aliments Fonctionnels de l'Université Laval (INAF), Université Laval, Quebec, QC, Canada.
- School of Nutrition, Université Laval, Quebec, QC, G1V 0A6, Canada.
| | - V Micó
- Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute (Madrid Institute for Advanced Studies), Campus of International Excellence (CEI) UAM+CSIC, 28049, Madrid, Spain
| | - J A Martínez
- Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute (Madrid Institute for Advanced Studies), Campus of International Excellence (CEI) UAM+CSIC, 28049, Madrid, Spain
- CIBERobn Physiopathology of Obesity and Nutrition, Institute of Health Carlos III (ISCIII), 28029, Madrid, Spain
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Higuera-Gómez A, Ribot-Rodríguez R, Micó V, Cuevas-Sierra A, San Cristóbal R, Martínez JA. Lifestyle and Health-Related Quality of Life Relationships Concerning Metabolic Disease Phenotypes on the Nutrimdea Online Cohort. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 20:767. [PMID: 36613089 PMCID: PMC9819172 DOI: 10.3390/ijerph20010767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 12/23/2022] [Accepted: 12/27/2022] [Indexed: 06/17/2023]
Abstract
Obesity, diabetes and cardiovascular events are non-communicable diseases (NCDs) directly related to lifestyle and life quality. Rises on NCDs rates are leading to increases in early deaths concerning metabolic morbidities. Health-related quality of life (HRQoL) has been described as a subjective perception about the influence of health and personal features on human well-being. This study aimed to characterize phenotypic and lifestyle roles on the occurrence of metabolic diseases and determine the potential mutual interactions and with HRQoL. Data from an online adult population (NUTRiMDEA study, n = 17,332) were used to estimate an adapted Obesogenic Score (ObS), while logistic regression analyses were fitted in order to examine relevant factors related to the prevalence of different metabolic diseases including HRQoL. Sex and age showed significant differences depending on lifestyle and metabolic health (p < 0.05). Adherence to the Mediterranean diet and physical activity showed a mutual interaction concerning ObS (p < 0.001), as well with metabolic health (p = 0.044). Furthermore, metabolic diseases showed own features related to sociodemographic and lifestyle characteristics in this population. Metabolic syndrome components may be differently influenced by diverse lifestyle or socioeconomic factors which in turn affect the perceived HRQoL. These outcomes should be taken into account individually for a precision medicine and public health purposes.
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Affiliation(s)
- Andrea Higuera-Gómez
- Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute (Madrid Institute for Advanced Studies), Campus of International Excellence (CEI) UAM+CSIC, 28049 Madrid, Spain
| | - Rosa Ribot-Rodríguez
- Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute (Madrid Institute for Advanced Studies), Campus of International Excellence (CEI) UAM+CSIC, 28049 Madrid, Spain
| | - Victor Micó
- Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute (Madrid Institute for Advanced Studies), Campus of International Excellence (CEI) UAM+CSIC, 28049 Madrid, Spain
| | - Amanda Cuevas-Sierra
- Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute (Madrid Institute for Advanced Studies), Campus of International Excellence (CEI) UAM+CSIC, 28049 Madrid, Spain
| | - Rodrigo San Cristóbal
- Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute (Madrid Institute for Advanced Studies), Campus of International Excellence (CEI) UAM+CSIC, 28049 Madrid, Spain
- Centre Nutrition, Santé et Société (NUTRISS), Institut sur la Nutrition et les Aliments Fonctionnels de L’Université Laval (INAF), Université Laval, Quebec, QC G1V 0A6, Canada
- School of Nutrition, Université Laval, Quebec, QC G1V 0A6, Canada
| | - Jose Alfredo Martínez
- Precision Nutrition and Cardiometabolic Health, IMDEA-Food Institute (Madrid Institute for Advanced Studies), Campus of International Excellence (CEI) UAM+CSIC, 28049 Madrid, Spain
- CIBERobn Physiopathology of Obesity and Nutrition, Institute of Health Carlos III (ISCIII), 28029 Madrid, Spain
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Pano O, Sayón-Orea C, Hershey MS, Bes-Rastrollo M, Martínez-González MA, Martínez JA. Development of a General Health Score Based on 12 Objective Metabolic and Lifestyle Items: The Lifestyle and Well-Being Index. Healthcare (Basel) 2022; 10:healthcare10061088. [PMID: 35742139 PMCID: PMC9222586 DOI: 10.3390/healthcare10061088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 06/06/2022] [Accepted: 06/10/2022] [Indexed: 11/16/2022] Open
Abstract
Healthy and unhealthy lifestyles are tightly linked to general health and well-being. However, measurements of well-being have failed to include elements of health and easy to interpret information for patients seeking to improve lifestyles. Therefore, this study aimed to create an index for the assessment of general health and well-being along with two cut-off points: the lifestyle and well-being index (LWB-I). This was a cross-sectional analysis of 15,168 individuals. Internally valid multivariate linear models were constructed using key lifestyle features predicting a modified Short Form 36 questionnaire (SF-36) and used to score the LWB-I. Categorization of the LWB-I was based on self-perceived health (SPH) and analyzed using receiver operating characteristic curve analysis. Optimal cut-points identified individuals with poor and excellent SPH. Lifestyle and well-being were adequately accounted for using 12 lifestyle items. SPH groups had increasingly healthier lifestyle features and LWB-I scores; optimal cut-point for poor SPH were scores below 80 points (AUC: 0.80 (0.79, 0.82); sensitivity 75.7%, specificity 72.3%)) and above 86 points for excellent SPH (AUC: 0.67 (0.66, 0.69); sensitivity 61.4%, specificity 63.3%). Lifestyle and well-being were quantitatively scored based on their associations with a general health measure in order to create the LWB-I along with two cut points.
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Affiliation(s)
- Octavio Pano
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad de Navarra, 31008 Pamplona, Spain; (O.P.); (M.S.H.); (M.B.-R.); (M.A.M.-G.)
| | - Carmen Sayón-Orea
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad de Navarra, 31008 Pamplona, Spain; (O.P.); (M.S.H.); (M.B.-R.); (M.A.M.-G.)
- Navarra Institute for Health Research, IdiSNA, 31008 Pamplona, Spain
- Navarra Public Health Institute, 31003 Navarra, Spain
- Área de Fisiopatología de la Obesidad y la Nutrición, Centro de Investigación Biomédica en Red (CIBEROBN), 28049 Madrid, Spain
- Correspondence: ; Tel.: +34-948-425-600
| | - María Soledad Hershey
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad de Navarra, 31008 Pamplona, Spain; (O.P.); (M.S.H.); (M.B.-R.); (M.A.M.-G.)
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Maira Bes-Rastrollo
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad de Navarra, 31008 Pamplona, Spain; (O.P.); (M.S.H.); (M.B.-R.); (M.A.M.-G.)
- Navarra Institute for Health Research, IdiSNA, 31008 Pamplona, Spain
- Área de Fisiopatología de la Obesidad y la Nutrición, Centro de Investigación Biomédica en Red (CIBEROBN), 28049 Madrid, Spain
| | - Miguel A. Martínez-González
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad de Navarra, 31008 Pamplona, Spain; (O.P.); (M.S.H.); (M.B.-R.); (M.A.M.-G.)
- Navarra Institute for Health Research, IdiSNA, 31008 Pamplona, Spain
- Área de Fisiopatología de la Obesidad y la Nutrición, Centro de Investigación Biomédica en Red (CIBEROBN), 28049 Madrid, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - J. Alfredo Martínez
- Department of Food Sciences and Physiology, University of Navarra, 31008 Pamplona, Spain;
- Precision Nutrition and Cardiometabolic Health Program, IMDEA Food Institute, 28049 Madrid, Spain
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Cardiometabolic Health Status, Ethnicity and Health-Related Quality of Life (HRQoL) Disparities in an Adult Population: NutrIMDEA Observational Web-Based Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19052948. [PMID: 35270641 PMCID: PMC8910247 DOI: 10.3390/ijerph19052948] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 02/25/2022] [Accepted: 02/25/2022] [Indexed: 12/24/2022]
Abstract
Precision public health supported on online tools is increasingly emerging as a potential strategy to achieve health promotion and disease prevention. Our aim was to assess the relationships of sociodemographic variables, anthropometric data, dietary habits and lifestyle factors with health-related quality of life (HRQoL), cardiometabolic health status and ethnicity in an online recruited adult population (NutrIMDEA Study). NutrIMDEA Study is a web-based cross-sectional survey that included 17,333 adults. Self-reported sociodemographic characteristics, anthropometric data, clinical and family history of cardiometabolic illnesses, dietary habits, lifestyle factors and HRQoL features were collected. Diseased individuals showed significative poorer MedDiet and worse HRQoL than those in the healthy cardiometabolic status group (p < 0.05). In comparison, European/Caucasian individuals reported a significantly better HRQoL, higher MedDiet and HRQoL values compared with those of other ethnicities (p < 0.05). We obtained a total of 16.8% who reported poor/fair, 56.5% good and 26.6% very good/excellent HRQoL. Respondents with very good/excellent HRQoL showed lower BMI, greater adherence to a Mediterranean diet (MedDiet) and higher physical activity. The results suggest the presence of interactions between the mental and physical components of HRQoL with obesity, sedentarism and dietary intake, which were dependent on disease status and ethnicity. Online HRQoL assessment could contribute to wider implementation of precision public health strategies to promote health targeted interventions with policy implications to community health promotion.
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Pano O, Martínez-Lapiscina EH, Sayón-Orea C, Martinez-Gonzalez MA, Martinez JA, Sanchez-Villegas A. Healthy diet, depression and quality of life: A narrative review of biological mechanisms and primary prevention opportunities. World J Psychiatry 2021; 11:997-1016. [PMID: 34888169 PMCID: PMC8613751 DOI: 10.5498/wjp.v11.i11.997] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Revised: 06/19/2021] [Accepted: 08/27/2021] [Indexed: 02/06/2023] Open
Abstract
Unipolar depressive disorder (UDD) affects more than 264 million people worldwide and was projected well before the severe acute respiratory syndrome coronavirus 2 pandemic to be the leading cause of disability-adjusted life years lost in 2030. It is imperative for leading economies to implement preventive strategies targeted towards UDD, given consistent policies are currently lacking. Recently established similarities between the aetiological hypotheses of depression and cardiometabolic diseases are shifting paradigms within this field. It is believed that dietary practices could potentially reduce the incidence of depression; similar to their effects on metabolism. Thus, the aim of this review was to compile current evidence on healthy dietary patterns as suitable contributors towards primary prevention strategies against UDD. Most of the well-known biological mechanisms behind depression have been positively associated with healthful diets and dietary patterns to varying degrees. Interestingly, a common factor of UDD is the production and overall effects of inflammatory cytokines, such as interleukin-6, tumor necrosis factor-α, and C-reactive protein. These compounds have been associated with depressive symptoms, disturbances in neuroendocrine function, leaky gut, monoamine activity and brain function, while also being key factors in the development of cardiometabolic diseases. The Mediterranean diet (MD) in particular, is well supported by first-level evidence regarding its preventive qualities against metabolic and cardiovascular diseases and thus considered a model for healthy eating by various organizations. In one of the few clinical trials investigating these associations, the PREDIMED trial, individuals with diabetes assigned to a MD supplemented with mixed tree nuts experienced a 41% relative risk reduction for developing depression. Lastly, there is a need to include health related quality of life as an indicator of physical and mental well-being, considering its putative associations with depression and suicide risk. Going forward, focusing on clinical trials, using precise nutritional assessments, and identifying nutritional biomarkers which may be related to depression are needed to fully support the implementation of dietary recommendations in the field of psychiatry.
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Affiliation(s)
- Octavio Pano
- Preventive Medicine and Public Health, University of Navarre, Pamplona 31008, Spain
| | - Elena H Martínez-Lapiscina
- Department of Neurology Center of Neuroimmunology, Hospital Clinic of Barcelona, Institut d’Investigacions Biomèdiques August Pi Sunyer, Barcelona 08036, Spain
| | - Carmen Sayón-Orea
- Department of Preventive Medicine and Public Health, University of Navarra, Pamplona 31008, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona 31008, Spain
- Department of Public Health, Navarra Institute of Public Health and Epidemiology, Pamplona 31003, Spain
| | - Miguel Angel Martinez-Gonzalez
- Preventive Medicine and Public Health, University of Navarre, Pamplona 31008, Spain
- CIBER Pathophysiology of Obesity and Nutrition, Institute of Health Carlos III, Madrid 28049, Spain
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, United States
| | - Jose Alfredo Martinez
- IdiSNA, Navarra Institute for Health Research, Pamplona 31008, Spain
- CIBER Pathophysiology of Obesity and Nutrition, Institute of Health Carlos III, Madrid 28049, Spain
- Department of Food Sciences and Physiology, University of Navarre, Pamplona 31008, Spain
- Precision Nutrition and Cardiometabolic Health Program, IMDEA Food Institute, Madrid 28049, Spain
| | - Almudena Sanchez-Villegas
- CIBER Pathophysiology of Obesity and Nutrition, Institute of Health Carlos III, Madrid 28049, Spain
- Department of Clinical Sciences, University of Las Palmas Gran Canaria, Las Palmas Gran Canaria 35080, Spain
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Martínez-Urbistondo D, Suarez del Villar R, Ramos-Lopez O, Fernández MA, Segovia RC, Domínguez A, de la Garza RG, Gómez MLC, Ramos LP, San-Cristobal R, Daimiel L, Fernández PV, Martinez JA. Interactions of Comorbidity and Five Simple Environmental Unhealthy Habits Concerning Physical and Mental Quality of Life in the Clinical Setting. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:9590. [PMID: 34574515 PMCID: PMC8467323 DOI: 10.3390/ijerph18189590] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 09/02/2021] [Accepted: 09/08/2021] [Indexed: 12/19/2022]
Abstract
The objective of this study was to examine the interactions between comorbidity and five lifestyle single habits concerning different subscales of quality of life (QoL). For the study, 302 patients were consecutively recruited at the internal medicine department of a tertiary teaching hospital. Lifestyle habits, comorbidities and QoL were recorded according to validated questionnaires. Five single unhealthy habits, such as tobacco consumption, dietary intake of ultra-processed pastries, raw nuts or carbonated drinks, sleep time and physical activity patterns were selected according to previously published data. The main outcomes of the study were the scores of the eight subscales of the SF-36 QoL survey. The aggregate of unhealthy habits showed statistically significant association to every category in the SF-36 questionnaire, both in the univariate and the multivariate analysis when adjusting by age, sex and comorbidity. An interaction was found between comorbidity and unhealthy habits in both physical and mental summaries of SF-36. In conclusion, the lifestyle assessment according to five unhealthy habits is associated with a worse QoL. The interaction between comorbidity and unhealthy habits is especially clear in diseased patients due to the interplay between illness and lifestyle in the prediction of QoL.
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Affiliation(s)
- Diego Martínez-Urbistondo
- Internal Medicine Department, Hospital HM Sanchinarro, HM Hospitales, 28050 Madrid, Spain; (R.S.d.V.); (M.A.F.); (R.C.S.); (A.D.); (R.G.d.l.G.); (M.L.-C.G.); (L.P.R.); (P.V.F.)
| | - Rafael Suarez del Villar
- Internal Medicine Department, Hospital HM Sanchinarro, HM Hospitales, 28050 Madrid, Spain; (R.S.d.V.); (M.A.F.); (R.C.S.); (A.D.); (R.G.d.l.G.); (M.L.-C.G.); (L.P.R.); (P.V.F.)
| | - Omar Ramos-Lopez
- Medicine and Psychology School, Autonomous University of Baja California, Tijuana 22390, Mexico;
| | - María Agud Fernández
- Internal Medicine Department, Hospital HM Sanchinarro, HM Hospitales, 28050 Madrid, Spain; (R.S.d.V.); (M.A.F.); (R.C.S.); (A.D.); (R.G.d.l.G.); (M.L.-C.G.); (L.P.R.); (P.V.F.)
| | - Ramón Costa Segovia
- Internal Medicine Department, Hospital HM Sanchinarro, HM Hospitales, 28050 Madrid, Spain; (R.S.d.V.); (M.A.F.); (R.C.S.); (A.D.); (R.G.d.l.G.); (M.L.-C.G.); (L.P.R.); (P.V.F.)
| | - Andrea Domínguez
- Internal Medicine Department, Hospital HM Sanchinarro, HM Hospitales, 28050 Madrid, Spain; (R.S.d.V.); (M.A.F.); (R.C.S.); (A.D.); (R.G.d.l.G.); (M.L.-C.G.); (L.P.R.); (P.V.F.)
| | - Rocío García de la Garza
- Internal Medicine Department, Hospital HM Sanchinarro, HM Hospitales, 28050 Madrid, Spain; (R.S.d.V.); (M.A.F.); (R.C.S.); (A.D.); (R.G.d.l.G.); (M.L.-C.G.); (L.P.R.); (P.V.F.)
| | - María López-Cano Gómez
- Internal Medicine Department, Hospital HM Sanchinarro, HM Hospitales, 28050 Madrid, Spain; (R.S.d.V.); (M.A.F.); (R.C.S.); (A.D.); (R.G.d.l.G.); (M.L.-C.G.); (L.P.R.); (P.V.F.)
| | - Laura Prósper Ramos
- Internal Medicine Department, Hospital HM Sanchinarro, HM Hospitales, 28050 Madrid, Spain; (R.S.d.V.); (M.A.F.); (R.C.S.); (A.D.); (R.G.d.l.G.); (M.L.-C.G.); (L.P.R.); (P.V.F.)
| | - Rodrigo San-Cristobal
- Precision Nutrition and Cardiometabolic Health Program, IMDEA Food Institute, CEI UAM + CSIC, 28049 Madrid, Spain; (R.S.-C.); (J.A.M.)
| | - Lidia Daimiel
- Nutritional Control of the Epigenome Group, Precision Nutrition and Obesity Program, IMDEA Food Institute, CEI UAM + CSIC, 28049 Madrid, Spain;
| | - Paula Villares Fernández
- Internal Medicine Department, Hospital HM Sanchinarro, HM Hospitales, 28050 Madrid, Spain; (R.S.d.V.); (M.A.F.); (R.C.S.); (A.D.); (R.G.d.l.G.); (M.L.-C.G.); (L.P.R.); (P.V.F.)
| | - Jose Alfredo Martinez
- Precision Nutrition and Cardiometabolic Health Program, IMDEA Food Institute, CEI UAM + CSIC, 28049 Madrid, Spain; (R.S.-C.); (J.A.M.)
- CIBERobn, Carlos III Institute, 28029 Madrid, Spain
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9
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Suarez-Villar R, Martinez-Urbistondo D, Fernandez MA, Lopez-Cano M, Fernandez E, Dominguez A, Prosper L, Rodriguez-Cobo A, Tinoco MEC, Nadal P, Risco CR, Fernández PV, Martínez JA. Cross-sectional evaluation of the interaction between activity relative-time expenditure and comorbidity concerning physical quality of life. Medicine (Baltimore) 2020; 99:e22552. [PMID: 33235060 PMCID: PMC7710197 DOI: 10.1097/md.0000000000022552] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
Quality of life (QoL) is a matter of concern in both healthy and diseased individuals. Lifestyle factors such as physical activity and sleep have a direct impact on QoL. In this context, interactions between activity time expenditure and QoL might be different in comorbid and non comorbid patients. Besides, the quantification and evaluation of time expenditure is ordinarily measured as the absolute time devoted to each activity. The objective of this study is the evaluation of the influence and interactions of activity-relative time expenditure and co-morbidity in Physical QoL.The study involved 302 consecutive patients, from an Internal Medicine ambulatory evaluation. Validated questionnaires were used to collect demographic variables and time expenditure variables. QoL was gathered with de survey short form-36questionnaire. Comorbidity was compiled with de Charlson Comorbidity Index. SPSS v20.0 was used for statistical analysis.As hypothesized, healthy subjects had higher Physical QoL score than comorbid subjects (P < .05). Physical activity and sleep relative time expenditure were statistically significant and associated to a better QoL in comorbid patients (P < .05). Interestingly, sleep was found to have statistically significant interaction with a score of ≥2 in the Charlson Comorbidity Index. Age, gender, comorbidity, physical activity relative time expenditure, and the interaction between relative time dedicated to sleep and comorbidity were found statistically significant in a multivariate model on Physical QoL prediction.Activity-relative time expenditure could be an adequate measure of daily activity pattern in the evaluation of QoL. Relative time spent in physical activity and sleep might be positively associated to Physical QoL. Sleep and comorbidity could have a statistically significant interaction in the prediction of Physical QoL.
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Affiliation(s)
| | | | | | | | - Eva Fernandez
- Internal Medicine Department. HM Sanchinarro. HM Hospitales
| | | | - Laura Prosper
- Internal Medicine Department. HM Sanchinarro. HM Hospitales
| | | | | | - Paula Nadal
- Internal Medicine Department. HM Sanchinarro. HM Hospitales
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10
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Martinez-Urbistondo D, Suarez del Villar R, Argemí J, Daimiel L, Ramos-López O, San-Cristobal R, Villares P, Martinez JA. Antioxidant Lifestyle, Co-Morbidities and Quality of Life Empowerment Concerning Liver Fibrosis. Antioxidants (Basel) 2020; 9:1125. [PMID: 33202851 PMCID: PMC7696605 DOI: 10.3390/antiox9111125] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Revised: 11/07/2020] [Accepted: 11/09/2020] [Indexed: 12/16/2022] Open
Abstract
The assessment of liver fibrosis has gained importance since the progression of non-alcoholic fatty liver disease (NAFLD). Indeed, the description of the association between undetected liver fibrosis and lifestyle in terms of antioxidant habits, comorbidity and quality of life (QoL) domains may help in the characterization of subjects with NAFLD. A cross-sectional evaluation of (n = 116) consecutive patients from an Internal Medicine ambulatory evaluation was performed. Demographic data, lifestyle, co-morbidity, QoL (according to the SF-36 index) and analytical values to calculate the oxidative related Fibrosis-4 (FIB-4) index were recorded. The association between FIB-4 and co-morbidity, antioxidant habits in QoL was assessed in univariate analysis (p < 0.05) and confirmed in multivariable analysis for 4 of the 8 SF-36 categories: Physical QoL, Physical role, Social QoL and General QoL, as well as in the Physical summary of SF-36 (p < 0.05). Finally, interactions were assessed between co-morbidity, FIB-4 and antioxidant habits showed in the prediction of mean SF-36 (p < 0.01). Liver fibrosis assessed by the oxidative surrogate index FIB-4 is associated with the interaction between antioxidant lifestyle, co-morbidity and physical, social and general aspects of QoL in apparent liver disease-free individuals, generating a proof of concept for health empowerment and personalized medicine.
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Affiliation(s)
- Diego Martinez-Urbistondo
- Internal Medicine Department, Hospital HM Sanchinarro, HM Hospitales, 28050 Madrid, Spain; (R.S.d.V.); (P.V.)
| | - Rafael Suarez del Villar
- Internal Medicine Department, Hospital HM Sanchinarro, HM Hospitales, 28050 Madrid, Spain; (R.S.d.V.); (P.V.)
| | - Josepmaria Argemí
- Liver Unit, Clínica Universidad de Navarra, Centro de Investigación Médica Aplicada, 31008 Pamplona, Spain;
| | - Lidia Daimiel
- Precision Nutrition Program, Instituto Madrileño de Estudios Avanzados, Universidad Autónoma de Madrid, 28049 Madrid, Spain; (L.D.); (R.S.-C.); (J.A.M.)
| | - Omar Ramos-López
- Medicine and Psychology School, Autonomous University of Baja California, Tijuana 22390, Mexico;
| | - Rodrigo San-Cristobal
- Precision Nutrition Program, Instituto Madrileño de Estudios Avanzados, Universidad Autónoma de Madrid, 28049 Madrid, Spain; (L.D.); (R.S.-C.); (J.A.M.)
| | - Paula Villares
- Internal Medicine Department, Hospital HM Sanchinarro, HM Hospitales, 28050 Madrid, Spain; (R.S.d.V.); (P.V.)
| | - Jose Alfredo Martinez
- Precision Nutrition Program, Instituto Madrileño de Estudios Avanzados, Universidad Autónoma de Madrid, 28049 Madrid, Spain; (L.D.); (R.S.-C.); (J.A.M.)
- CIBERobn: Fisiopatología de la Obesidad y Nutrición, Instituto Carlos III, 28029 Madrid, Spain
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11
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Nutritional Determinants of Quality of Life in a Mediterranean Cohort: The SUN Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17113897. [PMID: 32486373 PMCID: PMC7312060 DOI: 10.3390/ijerph17113897] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Revised: 05/19/2020] [Accepted: 05/28/2020] [Indexed: 12/13/2022]
Abstract
Health related quality of life (HRQoL) is a subjective appreciation of how personal characteristics and health influence well-being. This cross-sectional analysis aimed to quantitatively measure the influence of dietary, lifestyle, and demographic factors on HRQoL. A sub-sample of the Seguimiento Universidad de Navarra (SUN) Project, a Mediterranean cohort, was analyzed (n = 15,674). Through self-administered questionnaires the relationship between HRQoL and dietary patterns (Mediterranean-diet (MedDiet) and provegetarian food pattern (FP) assessment), lifestyles (sleeping hours, physical activity) and demographic characteristics were measured. Multivariate linear regression and flexible regression models were used to estimate the pondered effect of personal factors on Short Form-36 (SF-36) scores. Coefficients for MedDiet and provegetarian scores (β-coefficient for global SF-36 score: 0.32 (0.22, 0.42); 0.09 (0.06, 0.12) respectively for every unit increase), physical activity (β: 0.03 (0.02, 0.03) for every metabolic equivalent of task indexes (MET)-h/week) had a positive association to HRQoL. The female sex (β: −3.28 (−3.68, −2.89)), and pre-existing diseases (diabetes, β: −2.27 (−3.48, −1.06), hypertension β: −1.79 (−2.36, −1.22), hypercholesterolemia β: −1.04 (−1.48, −0.59)) account for lower SF-36 scores. Adherence to MedDiet or provegetarian FP, physical activity and sleep are associated with higher HRQoL, whereas the female sex, “other” (versus married status) and the presence of chronic diseases were associated with lower SF-36 scores in this sample.
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