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Chen H, Ma Z, Huang R, Liu Y, Li L, Zhou Z, Wang D, Wang W, Lin J, Lin W, Yin L, Zhang R, Mo X, Fan Y, Fan F. Factors associated with mental health literacy and demand for mental health services among older adults in China: a cross-sectional study. BMC Geriatr 2025; 25:343. [PMID: 40375101 PMCID: PMC12079844 DOI: 10.1186/s12877-025-06003-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Accepted: 04/29/2025] [Indexed: 05/18/2025] Open
Abstract
BACKGROUND There is limited research on mental health literacy (MHL) among Chinese older adults as well as their demand and willingness for mental health services (MHS). This study investigated the factors associated with them among Chinese older adults. Additionally, predictors of MHL as well as demand and willingness for MHS were compared between older adults living alone and those not living alone. METHODS This study is a cross-sectional study conducted among 494 older adults in Guangzhou, China. Sociodemographic characteristics, frequency of participating in community-based activities, mental health status, MHL, and demand and willingness for MHS were assessed through self-reported questions. A series of logistic regression analyses were conducted to examine factors associated with the MHL and demand and willingness for MHS. RESULTS The awareness rates for the three MHL-related questions were between 65.3% and 73.7%, and 62.0% and 69.6% of the participants indicated the demand and willingness, respectively, for MHS. Frequently participating in community-based activities increased the likelihood of awareness of the MHL-related questions (ORs = 2.92-4.18, CIs = [1.50,9.28]), as well as the demand and willingness for MHS (ORs = 2.16-2.24, CIs = [1.19,4.20]). Similar significant associations were found among the older adults who were not living alone but not among those living alone. CONCLUSIONS Based on the results of this study, policymakers and clinicians are advised to develop more targeted community-based activities for older adults and focus especially on those living alone to enhance their MHL and increase willingness for MHS.
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Affiliation(s)
- Haihui Chen
- School of Psychology, Centre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, Ministry of Education Key Laboratory of Brain Cognition and Educational Science, South China Normal University, Guangzhou, China
| | - Zijuan Ma
- School of Psychology, Centre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, Ministry of Education Key Laboratory of Brain Cognition and Educational Science, South China Normal University, Guangzhou, China
| | - Ruidian Huang
- Tongde Street community health Service center, Baiyun District, Guangzhou, China
- Hospital of Zhongluotan Town Baiyun District, Guangzhou, China
| | - Yujing Liu
- Hospital of Zhongluotan Town Baiyun District, Guangzhou, China
| | - Lianghua Li
- Hospital of Zhongluotan Town Baiyun District, Guangzhou, China
| | - Zhengyuan Zhou
- Longhu Street Community Health Service Center, Huangpu District, Guangzhou, China
| | - Dongfang Wang
- School of Psychology, Centre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, Ministry of Education Key Laboratory of Brain Cognition and Educational Science, South China Normal University, Guangzhou, China
| | - Wei Wang
- School of Psychology, Centre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, Ministry of Education Key Laboratory of Brain Cognition and Educational Science, South China Normal University, Guangzhou, China
| | - Junxu Lin
- School of Psychology, Centre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, Ministry of Education Key Laboratory of Brain Cognition and Educational Science, South China Normal University, Guangzhou, China
| | - Weishi Lin
- School of Psychology, Centre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, Ministry of Education Key Laboratory of Brain Cognition and Educational Science, South China Normal University, Guangzhou, China
| | - Luning Yin
- School of Psychology, Centre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, Ministry of Education Key Laboratory of Brain Cognition and Educational Science, South China Normal University, Guangzhou, China
| | - Rui Zhang
- School of Psychology, Centre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, Ministry of Education Key Laboratory of Brain Cognition and Educational Science, South China Normal University, Guangzhou, China
| | - Xuan Mo
- Department of Psychiatry, Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yunge Fan
- School of Psychology, Centre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, Ministry of Education Key Laboratory of Brain Cognition and Educational Science, South China Normal University, Guangzhou, China.
| | - Fang Fan
- School of Psychology, Centre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, Ministry of Education Key Laboratory of Brain Cognition and Educational Science, South China Normal University, Guangzhou, China.
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Liu R, Wang L, Zhong W, Xu L, Li L, He C, Wei Q. Triglyceride glucose index combined with body mass index and its 4-year change with the risk of hypertension in middle-aged and older Chinese: A prospective cohort study. Nutr Metab Cardiovasc Dis 2024; 34:1381-1388. [PMID: 38494367 DOI: 10.1016/j.numecd.2024.01.030] [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: 04/08/2023] [Revised: 01/24/2024] [Accepted: 01/25/2024] [Indexed: 03/19/2024]
Abstract
BACKGROUND AND AIM To explore the association of triglyceride glucose index-body mass index (TyG-BMI) and its dynamic changes with the risk of hypertension among middle-aged and older Chinese adults based on a large-sample prospective cohort study. METHODS AND RESULTS Participants over 45 years old and without a history of hypertension were included from the China Health and Retirement Longitudinal Study registry. Data were collected in 2011 and followed up in 2015. TyG index and TyG-BMI were calculated as ln (triglyceride∗glucose/2) and TyG index∗BMI, respectively. We performed multivariate logistic regression analysis to identify the relationship between the TyG index, TyG-BMI and their dynamic change and the risk of hypertension. In the analyses, 3885 participants were included. After 4 years of follow-up, 1705 (43.89 %) patients developed hypertension. Logistic regression analysis revealed that after adjustments for all potential confounding factors, the highest tertile of baseline TyG index, baseline TyG-BMI, and the dynamic change in TyG-BMI were each associated with higher hypertension incidence than the lowest tertile: OR,1.38, 95 % CI, 1.17-1.63, OR,1.28, 95 % CI, 1.06-1.56, and OR, 1.26, 95 % CI, 1.07-1.48, respectively, whereas TyG index change was not. Moreover, the risk of hypertension increased with increasing levels of baseline TyG index (P for trend < 0.001), baseline TyG-BMI (P for trend = 0.013), and the dynamic change in TyG-BMI (P for trend = 0.006). CONCLUSIONS The baseline TyG index, baseline TyG-BMI, and the dynamic changes in TyG-BMI were significantly and positively associated with the risk of hypertension in Chinese adults older than 45 years.
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Affiliation(s)
- Rui Liu
- Department of Rehabilitation Medicine and Institute of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Key Laboratory of Rehabilitation Medicine in Sichuan Province, Chengdu, Sichuan, China
| | - Lu Wang
- Department of Rehabilitation Medicine and Institute of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Key Laboratory of Rehabilitation Medicine in Sichuan Province, Chengdu, Sichuan, China
| | - Wen Zhong
- Department of Rehabilitation Medicine and Institute of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Key Laboratory of Rehabilitation Medicine in Sichuan Province, Chengdu, Sichuan, China
| | - Lin Xu
- Department of Rehabilitation Medicine and Institute of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Key Laboratory of Rehabilitation Medicine in Sichuan Province, Chengdu, Sichuan, China
| | - Lijuan Li
- Department of Rehabilitation Medicine and Institute of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Key Laboratory of Rehabilitation Medicine in Sichuan Province, Chengdu, Sichuan, China
| | - Chengqi He
- Department of Rehabilitation Medicine and Institute of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Key Laboratory of Rehabilitation Medicine in Sichuan Province, Chengdu, Sichuan, China
| | - Quan Wei
- Department of Rehabilitation Medicine and Institute of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China; Key Laboratory of Rehabilitation Medicine in Sichuan Province, Chengdu, Sichuan, China.
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Kuang L, Hu H, Xiang S, Zhang H, Liu G, Tai R, Wang L, Sheng Y. Social network and related factors in older people with sensory impairment in the community: Using principal component analysis. Geriatr Nurs 2024; 57:109-116. [PMID: 38621312 DOI: 10.1016/j.gerinurse.2024.04.007] [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: 01/11/2024] [Revised: 03/03/2024] [Accepted: 04/03/2024] [Indexed: 04/17/2024]
Abstract
AIM Older people with sensory impairment are more likely to have smaller and weaker social network due to their reduced ability, which lowers their quality of life. However, there is little research on the social network in older people with sensory impairment, especially the related factors. The aim of the study was to explore the related factors of social network and to provide evidence for the improvement of social network to promote successful aging in older people with sensory impairment. METHODS A cross-sectional study was conducted among 374 participants for hearing and vision assessment and questionnaire survey in a community, Beijing. Data were collected and analyzed by principal component analysis (PCA) and multiple logistic regression using IBM SPSS 25.0 software. RESULTS PCA showed that there were six risk factors whose eigenvalues >1 were extracted, with a total variance of 56.555%. Multiple logistic regression analysis of principal component indicated that five factors including physical health factor, social interaction factor, psychological status factor, lifestyle factor, and family condition factor, were statistically significant (p < 0.05). CONCLUSIONS The social network of older people with sensory impairment is relatively poor. Physical health factor, social interaction factor, psychological status factor, lifestyle factor, and family condition factor may be related factors. Medical staff should pay attention to physical, psychological and social characteristics of older people, especially with sensory impairment, to carry out necessary measures to improve social network and avoid social isolation.
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Affiliation(s)
- Li Kuang
- School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Hanyu Hu
- School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Shule Xiang
- School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Hui Zhang
- School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Guangnan Liu
- School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Rui Tai
- Department of Nursing, Shanghai General Hospital, Shanghai, China
| | - Lingyun Wang
- Beijing Desheng Community Health Service Center, Beijing, China
| | - Yu Sheng
- School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
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Wang X, Xie J, Shang M, Yin P, Gu J. Healthy aging trajectories and their predictors among Chinese older adults: Evidence from a 7-year nationwide prospective cohort study. Arch Gerontol Geriatr 2024; 120:105331. [PMID: 38377698 DOI: 10.1016/j.archger.2024.105331] [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: 10/12/2023] [Revised: 12/20/2023] [Accepted: 01/13/2024] [Indexed: 02/22/2024]
Abstract
OBJECTIVES This study aimed to identify healthy aging trajectories of Chinese older adults, and explore the factors contributing to these trajectories. METHODS We used data from four waves (2011-2018) of China Health and Retirement Longitudinal Study. We developed a healthy aging metric based on the healthy aging framework of World Health Organization (WHO) and Bayesian multilevel item response theory (IRT) method. The healthy aging trajectories were identified using the latent class growth analysis. The predictors of trajectories were explored using multinomial logistic regression analysis. Additionally, we developed two alternative metrics for healthy aging based on the Chinese Healthy Ageing Index (CHAI) and Rowe and Kahn's model of successful aging, respectively. We compared these metrics to the one developed based on the WHO's healthy aging framework. RESULTS We identified three distinct healthy aging trajectories with varying scores and decline rates. Individuals who were female, had lower educational levels, resided in rural areas, experienced depression, had more chronic diseases, participated in fewer social activities, had fewer childhood friends, experienced more adverse childhood events, and had worse family financial status in childhood were more likely to experience a worse healthy aging trajectory compared to their counterparts. Supplementary analysis showed that healthy aging metric based on WHO definition and IRT method had the strongest association with health outcomes compared to the metrics based on CHAI, as well as Rowe and Kahn model. CONCLUSIONS Our findings provide a foundation for the development of tailored interventions to enhance and sustain healthy aging among Chinese older adults.
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Affiliation(s)
- Xu Wang
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Jinzhao Xie
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Menglin Shang
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Ping Yin
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Jing Gu
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China; Sun Yat-sen Global Health Institute, School of Public Health and Institute of State Governance, Sun Yat-sen University, Guangzhou, China; Key Laboratory of Health Informatics of Guangdong Province, Sun Yat-sen University, Guangzhou, China.
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Nie P, Lin X, Ding L. The Role of Childhood Circumstances in Healthy Aging Inequalities Among Older Adults - China, 2011-2020. China CDC Wkly 2024; 6:208-212. [PMID: 38532747 PMCID: PMC10961217 DOI: 10.46234/ccdcw2024.042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Accepted: 02/07/2024] [Indexed: 03/28/2024] Open
Abstract
What is already known about this topic? Addressing health disparities is a worldwide priority, with a well-established acknowledgment of the influence of childhood circumstances on these discrepancies. In China, particularly among the elderly, health inequalities are a notable concern. What is added by this report? The inequality in healthy aging has increased from 2011 to 2020, both in general and concerning childhood factors. Nevertheless, the impact of early-life healthcare access and parental health behaviors on healthy aging gaps has reduced among older adults in better health within the top segment of healthy aging. What are the implications for public health practice? Efforts towards reducing regional health disparities and improving healthcare access for children, along with promoting the health and well-being of parents, especially in economically disadvantaged households, are crucial policy considerations.
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Affiliation(s)
- Peng Nie
- School of Economics and Finance, Xi'an Jiaotong University, Xi'an City, Shaanxi Province, China
- Global Health Institute, Xi'an Jiaotong University Health Science Center, Xi'an City, Shaanxi Province, China
| | - Xili Lin
- School of Economics and Finance, Xi'an Jiaotong University, Xi'an City, Shaanxi Province, China
| | - Lanlin Ding
- National School of Development, Peking University, Beijing, China
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Liu M, Yang J, Wang C, Yang S, Wang J, Hou C, Wang S, Li X, Li F, Yang H, Li H, Liu S, Chen S, Hu S, Li X, Li Z, Li R, Li H, Bao Y, Shi Y, Tang Z, Fang X, He Y. Cohort profile: Beijing Healthy Aging Cohort Study (BHACS). Eur J Epidemiol 2024; 39:101-110. [PMID: 38177569 DOI: 10.1007/s10654-023-01050-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 09/08/2023] [Indexed: 01/06/2024]
Abstract
The Beijing Healthy Aging Cohort Study (BHACS) was established to supplement the limited data of a large representative cohort of older people based on the general population and was designed to evaluate the prevalence, incidence, and natural history of cognitive decline, functional disability, and conventional vascular risk factors. The aim was to determine the evolution of these conditions by estimating the rates and determinants of progression and regression to adverse outcomes, including dementia, cardiovascular events, cancer, and all-cause death. It can therefore provide evidence to help policy makers develop better policies to promote healthy aging in China. BHACS consisted of three cohorts (BLSA, CCHS-Beijing, and BECHCS) in Beijing with a total population of 11 235 (6281 in urban and 4954 in rural areas) and an age range of 55 years or older (55-101 years) with a mean age of 70.35 ± 7.71 years (70.69 ± 7.62 years in urban and 69.92 ± 7.80 years in rural areas). BHACS-BLSA conducted the baseline survey in 2009 with a multistage stratification-random clustering procedure for people aged 55 years or older; BHACS-CCHS-Beijing conducted the baseline survey in 2013-2015 with a stratified multistage cluster random sampling method for people aged 55 years or older; and BHACS-BECHCS conducted the baseline survey in 2010-2014 with two-stage cluster random sampling method for people aged 60 years or older. Data were collected through questionnaires, physical measurements, and laboratory analyses. Topics covered by BHACS include a wide range of physical and mental health indicators, lifestyles and personal, family, and socio-economic determinants of health. There are no immediate plans to make the cohort data freely available to the public, but specific proposals for further collaboration are welcome. For further information and collaboration, please contact the corresponding author Yao He (e-mail: yhe301@x263.net).
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Affiliation(s)
- Miao Liu
- Graduate School, Medical School of Chinese PLA, Beijing, 100853, China
| | - Junhan Yang
- Graduate School, Medical School of Chinese PLA, Beijing, 100853, China
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese PLA General Hospital, Beijing, 100853, China
| | - Chunxiu Wang
- Evidence-Based Medical Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Shanshan Yang
- Department of Disease Prevention and Control, First Medical Center, Chinese PLA General Hospital, Beijing, 100853, China
| | - Jianhua Wang
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese PLA General Hospital, Beijing, 100853, China
| | - Chengbei Hou
- Evidence-Based Medical Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Shengshu Wang
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese PLA General Hospital, Beijing, 100853, China
| | - Xiaoying Li
- Department of Geriatric Cardiology, Chinese PLA General Hospital, Beijing, 100853, China
| | - Fang Li
- Department of Gerontology, Fuxing Hospital, Capital Medical University, Beijing, 100038, China
| | - Hongbing Yang
- Miyun County Hospital of Traditional Chinese Medicine, Beijing, 101500, China
| | - Haowei Li
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese PLA General Hospital, Beijing, 100853, China
| | - Shaohua Liu
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese PLA General Hospital, Beijing, 100853, China
| | - Shimin Chen
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese PLA General Hospital, Beijing, 100853, China
| | - Shimin Hu
- Department of Gerontology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Xuehang Li
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese PLA General Hospital, Beijing, 100853, China
| | - Zhiqiang Li
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese PLA General Hospital, Beijing, 100853, China
| | - Rongrong Li
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese PLA General Hospital, Beijing, 100853, China
| | - Huaihao Li
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese PLA General Hospital, Beijing, 100853, China
| | - Yinghui Bao
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese PLA General Hospital, Beijing, 100853, China
| | - Yueting Shi
- Graduate School, Medical School of Chinese PLA, Beijing, 100853, China
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese PLA General Hospital, Beijing, 100853, China
| | - Zhe Tang
- Beijing Geriatric Healthcare Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Xianghua Fang
- Evidence-Based Medical Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Yao He
- Institute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, Second Medical Center, Chinese PLA General Hospital, Beijing, 100853, China.
- State Key Laboratory of Kidney Diseases, Beijing, 100853, China.
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Kuang L, Wang L, Dai H, Hu H, Liu G, Xiang S, Sheng Y. Social participation in older people with hearing impairment in Chinese community: A latent profile analysis. Geriatr Nurs 2024; 55:204-212. [PMID: 38007909 DOI: 10.1016/j.gerinurse.2023.11.008] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 11/07/2023] [Accepted: 11/08/2023] [Indexed: 11/28/2023]
Abstract
OBJECTIVES Hearing impairment may lead to increased communication difficulties for older people, making their social participation less optimistic. However, there is little research on the social participation of older people with hearing impairment, especially based on the characteristics of their social participation. This study aimed to identify different social participation profiles in older people with hearing impairment and to explore sociodemographic characteristics, disease-related characteristics and psychosocial factors with different social participation profiles. METHODS A cross-sectional study of 300 older people with hearing impairment using the sociodemographic questionnaire, the Impact on Participation and Autonomy Questionnaire, the Lubben Social Network Scale-6, Medical Outcomes Study Social Support Survey and Geriatric Depression Scale-15 from May to August 2023 in a community of Beijing, China. Latent profile analysis was used to analyse the latent profiles of social participation in elderly with hearing impairment. Multiple logistic regression was used to explore the predictors of different profiles. RESULTS The social participation of older people with hearing impairment in the community can be classified into three potential profiles: Profile 1 - high social participation group (76.05 %), Profile 2 - moderate social participation group (17.34 %), Profile 3 - low social participation group (6.61 %). Age, types of chronic diseases, self-reported health, severity of hearing impairment, social network, social support and depression were predictors of different profiles. CONCLUSIONS Nurses should pay attention to the characteristics, depression, social network and support of older people with different hearing impairment to improve social participation in different profiles. IMPLICATIONS AND RECOMMENDATIONS This was the first study exploring latent profiles of social participation in older people with hearing impairment. Insights from this study are useful for gerontological nursing to distinguish different profiles and further identify the characteristics of different profiles in older people with hearing impairment by characterizing the level of social participation in the community and better implement interventions according to profiles.
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Affiliation(s)
- Li Kuang
- School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing,China
| | - Lingyun Wang
- Beijing Desheng Community Health Service Center, Beijing, China
| | - Halina Dai
- School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing,China
| | - Hanyu Hu
- School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing,China
| | - Guangnan Liu
- School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing,China
| | - Shule Xiang
- School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing,China
| | - Yu Sheng
- School of Nursing, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing,China.
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Zhao X, Zhang H, Yu J, Wang J. Association of possible sarcopenia with major chronic diseases and multimorbidity among middle-aged and older adults: Findings from a national cross-sectional study in China. Geriatr Gerontol Int 2023; 23:925-931. [PMID: 37915295 DOI: 10.1111/ggi.14720] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Revised: 09/13/2023] [Accepted: 10/15/2023] [Indexed: 11/03/2023]
Abstract
AIM This study investigated the prevalence of possible sarcopenia (PSA) in a large sample of middle-aged and older adults, and determined the association between PSA, major chronic diseases and the number of chronic diseases. METHODS A total of 14 917 adults aged ≥40 years were included in the analysis. The handgrip strength and the five-time chair stand test were used to assess PSA. The participants' major chronic diseases were divided into 14 categories. Four categories were created based on the participants' number of chronic illnesses: 0, 1, 2 and ≥3. RESULTS The present study found an overall prevalence of PSA of 23.6% among Chinese middle-aged and older adults aged ≥40 years, with the risk increasing with advancing age. PSA was significantly associated with most categories of chronic diseases and multimorbidity. The closely independent associations were obtained for stroke; emotional, nervous or psychiatric problems; chronic lung disease, asthma, heart disease, hypertension and arthritis or rheumatism. Compared with participants with 0 chronic disease, those with two or more chronic diseases had higher odds for PSA. However, the association between PSA and the number of chronic diseases varied in different sex and age groups. CONCLUSIONS The findings suggest that PSA is associated with major chronic diseases among middle-aged and older adults. People with two or more chronic diseases have a greater likelihood of PSA compared with those without chronic diseases, and the association between PSA and the number of chronic diseases largely depended on sex and age. Geriatr Gerontol Int 2023; 23: 925-931.
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Affiliation(s)
- Xiaoguang Zhao
- Faculty of Sport Science, Ningbo University, Ningbo, China
- Research Academy of Grand Health, Ningbo University, Ningbo, China
| | - Hongjun Zhang
- School of Physical Education, Liaoning Finance and Trade College, Xingcheng, China
| | - Jiabin Yu
- Faculty of Sport Science, Ningbo University, Ningbo, China
- Research Academy of Grand Health, Ningbo University, Ningbo, China
| | - Jin Wang
- Faculty of Sport Science, Ningbo University, Ningbo, China
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Silva N, Rajado AT, Esteves F, Brito D, Apolónio J, Roberto VP, Binnie A, Araújo I, Nóbrega C, Bragança J, Castelo-Branco P, Andrade RP, Calado S, Faleiro ML, Matos C, Marques N, Marreiros A, Nzwalo H, Pais S, Palmeirim I, Simão S, Joaquim N, Miranda R, Pêgas A, Sardo A. Measuring healthy ageing: current and future tools. Biogerontology 2023; 24:845-866. [DOI: https:/doi.org/10.1007/s10522-023-10041-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 05/23/2023] [Indexed: 09/01/2023]
Abstract
AbstractHuman ageing is a complex, multifactorial process characterised by physiological damage, increased risk of age-related diseases and inevitable functional deterioration. As the population of the world grows older, placing significant strain on social and healthcare resources, there is a growing need to identify reliable and easy-to-employ markers of healthy ageing for early detection of ageing trajectories and disease risk. Such markers would allow for the targeted implementation of strategies or treatments that can lessen suffering, disability, and dependence in old age. In this review, we summarise the healthy ageing scores reported in the literature, with a focus on the past 5 years, and compare and contrast the variables employed. The use of approaches to determine biological age, molecular biomarkers, ageing trajectories, and multi-omics ageing scores are reviewed. We conclude that the ideal healthy ageing score is multisystemic and able to encompass all of the potential alterations associated with ageing. It should also be longitudinal and able to accurately predict ageing complications at an early stage in order to maximize the chances of successful early intervention.
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Silva N, Rajado AT, Esteves F, Brito D, Apolónio J, Roberto VP, Binnie A, Araújo I, Nóbrega C, Bragança J, Castelo-Branco P. Measuring healthy ageing: current and future tools. Biogerontology 2023; 24:845-866. [PMID: 37439885 PMCID: PMC10615962 DOI: 10.1007/s10522-023-10041-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 05/23/2023] [Indexed: 07/14/2023]
Abstract
Human ageing is a complex, multifactorial process characterised by physiological damage, increased risk of age-related diseases and inevitable functional deterioration. As the population of the world grows older, placing significant strain on social and healthcare resources, there is a growing need to identify reliable and easy-to-employ markers of healthy ageing for early detection of ageing trajectories and disease risk. Such markers would allow for the targeted implementation of strategies or treatments that can lessen suffering, disability, and dependence in old age. In this review, we summarise the healthy ageing scores reported in the literature, with a focus on the past 5 years, and compare and contrast the variables employed. The use of approaches to determine biological age, molecular biomarkers, ageing trajectories, and multi-omics ageing scores are reviewed. We conclude that the ideal healthy ageing score is multisystemic and able to encompass all of the potential alterations associated with ageing. It should also be longitudinal and able to accurately predict ageing complications at an early stage in order to maximize the chances of successful early intervention.
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Affiliation(s)
- Nádia Silva
- Algarve Biomedical Center Research Institute (ABC-RI), Campus Gambelas, Bld.2, 8005-139, Faro, Portugal
| | - Ana Teresa Rajado
- Algarve Biomedical Center Research Institute (ABC-RI), Campus Gambelas, Bld.2, 8005-139, Faro, Portugal
| | - Filipa Esteves
- Algarve Biomedical Center Research Institute (ABC-RI), Campus Gambelas, Bld.2, 8005-139, Faro, Portugal
| | - David Brito
- Algarve Biomedical Center Research Institute (ABC-RI), Campus Gambelas, Bld.2, 8005-139, Faro, Portugal
| | - Joana Apolónio
- Algarve Biomedical Center Research Institute (ABC-RI), Campus Gambelas, Bld.2, 8005-139, Faro, Portugal
| | - Vânia Palma Roberto
- Algarve Biomedical Center Research Institute (ABC-RI), Campus Gambelas, Bld.2, 8005-139, Faro, Portugal
- ABC Collaborative Laboratory, Association for Integrated Aging and Rejuvenation Solutions (ABC CoLAB), 8100-735, Loulé, Portugal
| | - Alexandra Binnie
- Algarve Biomedical Center Research Institute (ABC-RI), Campus Gambelas, Bld.2, 8005-139, Faro, Portugal
- Faculty of Medicine and Biomedical Sciences (FMCB), University of Algarve, Gambelas Campus, Bld. 2, 8005-139, Faro, Portugal
- Department of Critical Care, William Osler Health System, Etobicoke, ON, Canada
| | - Inês Araújo
- Algarve Biomedical Center Research Institute (ABC-RI), Campus Gambelas, Bld.2, 8005-139, Faro, Portugal
- ABC Collaborative Laboratory, Association for Integrated Aging and Rejuvenation Solutions (ABC CoLAB), 8100-735, Loulé, Portugal
- Faculty of Medicine and Biomedical Sciences (FMCB), University of Algarve, Gambelas Campus, Bld. 2, 8005-139, Faro, Portugal
- Champalimaud Research Program, Champalimaud Centre for the Unknown, Lisbon, Portugal
| | - Clévio Nóbrega
- Algarve Biomedical Center Research Institute (ABC-RI), Campus Gambelas, Bld.2, 8005-139, Faro, Portugal
- ABC Collaborative Laboratory, Association for Integrated Aging and Rejuvenation Solutions (ABC CoLAB), 8100-735, Loulé, Portugal
- Faculty of Medicine and Biomedical Sciences (FMCB), University of Algarve, Gambelas Campus, Bld. 2, 8005-139, Faro, Portugal
- Champalimaud Research Program, Champalimaud Centre for the Unknown, Lisbon, Portugal
| | - José Bragança
- Algarve Biomedical Center Research Institute (ABC-RI), Campus Gambelas, Bld.2, 8005-139, Faro, Portugal
- ABC Collaborative Laboratory, Association for Integrated Aging and Rejuvenation Solutions (ABC CoLAB), 8100-735, Loulé, Portugal
- Faculty of Medicine and Biomedical Sciences (FMCB), University of Algarve, Gambelas Campus, Bld. 2, 8005-139, Faro, Portugal
- Champalimaud Research Program, Champalimaud Centre for the Unknown, Lisbon, Portugal
| | - Pedro Castelo-Branco
- Algarve Biomedical Center Research Institute (ABC-RI), Campus Gambelas, Bld.2, 8005-139, Faro, Portugal.
- ABC Collaborative Laboratory, Association for Integrated Aging and Rejuvenation Solutions (ABC CoLAB), 8100-735, Loulé, Portugal.
- Faculty of Medicine and Biomedical Sciences (FMCB), University of Algarve, Gambelas Campus, Bld. 2, 8005-139, Faro, Portugal.
- Champalimaud Research Program, Champalimaud Centre for the Unknown, Lisbon, Portugal.
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Tan Y, Zhao Q, Yang H, Song S, Xie X, Yu Z. Turnover intention and coping strategies among older nursing assistants in China: a qualitative study. Front Psychol 2023; 14:1269611. [PMID: 37842716 PMCID: PMC10570443 DOI: 10.3389/fpsyg.2023.1269611] [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: 07/31/2023] [Accepted: 09/18/2023] [Indexed: 10/17/2023] Open
Abstract
Introduction With the increasing aging population, older nursing assistants have made significant contributions to institutional eldercare. However, there is a high turnover rate among these workers, and it is crucial to address this issue and find ways to stabilize the workforce. This study aimed to explore the factors influencing turnover intention and coping strategies among older nursing assistants, in order to provide targeted assistance and guidance to reduce their intention to resign and ultimately lower the turnover rate. Methods Qualitative research methods were employed to conduct semi-structured interviews with older nursing assistants in Changsha. The data obtained from these interviews were then analyzed using a phenomenological analysis approach and NVIVO (QSR International, Doncaster, Australia) software version 11.0. Results It is found that several factors influence turnover intention among older nursing assistants. Which include work pay, work environment, professional identity, external motivation, and work pressure. Additionally, the coping strategies employed by these individuals in relation to their intention to resign include self-regulation, seeking support, self-improvement, and exploring motivation. Discussion It is also evident from our study that reducing the turnover intention of older nursing assistants requires a collaborative effort from older adult care institutions, functional departments, and eldercare nursing assistants themselves. By addressing the factors influencing turnover intention and providing support and resources for coping strategies, we can work towards stabilizing the workforce and improving institutional eldercare.
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Affiliation(s)
- Yuting Tan
- Department of Gynaecology, The First Affiliated Hospital of Shenzhen University/Shenzhen Second People’s Hospital, Guangdong, China
| | - Qian Zhao
- Department of Gynaecology, The First Affiliated Hospital of Shenzhen University/Shenzhen Second People’s Hospital, Guangdong, China
| | - Huafeng Yang
- Department of Functional Neurology, The First Affiliated Hospital of Shenzhen University/Shenzhen Second People’s Hospital, Guangdong, China
| | - Shufen Song
- Department of Gynaecology, The First Affiliated Hospital of Shenzhen University/Shenzhen Second People’s Hospital, Guangdong, China
| | - Xiaohua Xie
- Department of Nursing, The First Affiliated Hospital of Shenzhen University/Shenzhen Second People’s Hospital, Guangdong, China
| | - Zhiying Yu
- Department of Gynaecology, The First Affiliated Hospital of Shenzhen University/Shenzhen Second People’s Hospital, Guangdong, China
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12
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Miķelsone M, Reine I, Tomsone S, Guðmundsson H, Ivanovs A, Guðmundsson HS. Construction of healthy aging index from two different datasets. Front Public Health 2023; 11:1231779. [PMID: 37744491 PMCID: PMC10513080 DOI: 10.3389/fpubh.2023.1231779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 08/15/2023] [Indexed: 09/26/2023] Open
Abstract
Introduction The aging population presents both unique challenges and opportunities for societies around the world. To develop an effective healthy aging strategy, a tool for assessing aging process is needed. Numerous attempts to quantify the aging process have been made. However, there is still a challenge in developing and choosing a good enough score that is easy to apply, has a construct of variables that are available in most nationwide surveys for comparable results, and at the same time reflects the aging process of older individuals. The purpose of this study is to present our approach to construct a comparable Healthy Aging Index (HAI). Materials and methods In Latvia, data from Wave 8 of the Survey of Health, Aging and Retirement in Europe (SHARE), involving 420 respondents, were used. For comparative analysis, data from a HL20 study on the health and wellbeing of the older adults in Iceland, which included 1,033 respondents, were used. Results For Latvia, 13 items were selected, and for Iceland, nine items were selected. We constructed the HAI with four similar subscales for both countries-"Autonomy," "Health," "Wellbeing," and "Activities," and an additional subscale "Cognitive" for Latvia. We found matching items in all four subscales. For the Autonomy subscale, they were related to difficulties with everyday and daily tasks. In the Health subscale, the only matching item was self-rated physical health. One item related to loneliness was found for the Wellbeing subscale and one item related to social participation for the Activities subscale. Discussion In our study, we found evidence for the successful construction of a HAI in two different datasets. The strength of our construct lies in the use of data from one of the largest social science panel studies in Europe (SHARE). As we were able to apply the construct to the Icelandic study, we believe that items presented in our approach are available in other population-based studies as well, and, therefore, can be easily replicated by others. By examining the existing SHARE data, HAI could be used to analyze long-term changes and could provide a foundation for comparing and monitoring the evolution of aging over time as well as comparing the aging process across societies. This is required for the authorities to conduct further analyses, proposals, and action plans in support of healthy aging.
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Affiliation(s)
| | - Ieva Reine
- Statistics Unit, Riga Stradiņš University, Riga, Latvia
- Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - Signe Tomsone
- Faculty of Rehabilitation, Riga Stradiņš University, Riga, Latvia
| | - Helgi Guðmundsson
- Social Science Research Institute, University of Iceland, Reykjavik, Iceland
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Ma Y, An K, Zhang K, Deng H, Deng R, Su Q. Exploring disease interrelationships in older inpatients: a single-centre, retrospective study. Front Public Health 2023; 11:1110014. [PMID: 37333559 PMCID: PMC10272409 DOI: 10.3389/fpubh.2023.1110014] [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: 11/28/2022] [Accepted: 05/17/2023] [Indexed: 06/20/2023] Open
Abstract
Background Comorbidity is a common phenomenon in the older population; it causes a heavy burden on societies and individuals. However, the relevant evidence, especially in the southwestern region of China, is insufficient. Objectives We aimed to examine current comorbidity characteristics as well as correlations among diseases in individuals aged >60 years. Design Retrospective study. Methods We included records of 2,995 inpatients treated at the Gerontological Department of Sichuan Geriatric Hospital from January 2018 to February 2022. The patients were divided into groups according to sex and age. Diseases were categorised based on the International Classification of Diseases and their Chinese names. We calculated the age-adjusted Charlson Comorbidity Index (ACCI), categorised diseases using the China Health and Retirement Longitudinal Study questionnaire, and visualised comorbidity using web graphs and the Apriori algorithm. Results The ACCI was generally high, and it increased with age. There were significant differences in the frequency of all diseases across age groups, especially in individuals aged ≥90 years. The most common comorbid diseases were liver diseases, stomach or other digestive diseases, and hypertension. Strong correlations between the most common digestive diseases and hypertension were observed. Conclusion Our findings provide insights into the current situation regarding comorbidity and the correlations among diseases in the older population. We expect our findings to inform future research directions as well as policies regarding general clinical practice and public health, especially for medical consortiums.
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Affiliation(s)
- Yiru Ma
- General Practice Ward/International Medical Center Ward, General Practice Medical Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Kang An
- General Practice Ward/International Medical Center Ward, General Practice Medical Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Keni Zhang
- West China School of Medicine, Sichuan University, Chengdu, Sichuan, China
| | - Han Deng
- General Practice Ward/International Medical Center Ward, General Practice Medical Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Rui Deng
- Department of Internal Medicine, The Fifth People’s Hospital of Sichuan Province, Chengdu, Sichuan, China
| | - Qiaoli Su
- General Practice Ward/International Medical Center Ward, General Practice Medical Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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Kim B. Individual and environmental factors associated with successful aging among Korean older adults: Multilevel analysis of cross-sectional nationwide survey data. Arch Gerontol Geriatr 2023; 113:105062. [PMID: 37210873 DOI: 10.1016/j.archger.2023.105062] [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: 02/19/2023] [Revised: 05/09/2023] [Accepted: 05/14/2023] [Indexed: 05/23/2023]
Abstract
PURPOSE The importance of environmental influences on successful aging has recently been emphasized. However, existing studies that investigated environmental factors related to successful aging in older adults did not apply multi-level analysis while simultaneously examining individual and environmental factors related to successful aging. Therefore, this study aimed to determine the level of successful aging in older adults and the individual and environmental factors related to successful aging. MATERIALS AND METHODS Data from a nationwide survey were used. The study comprised a cross-sectional sample of 73,942 community-dwelling adults aged ≥65 years with individual-level data drawn from the 2019 Korea Community Health Survey. Community-level data of 255 local administrative districts (cities or counties) were extracted from the Community Health Determinant Database from 2017 to 2019. These data were merged and used in multi-level logistic regression analyses. RESULTS Generally, 27.1% of the participants achieved successful aging. Individual factors including sex, age, marital status, education level, job, monthly household income, smoking, physical activity, and body mass index were significantly associated with successful aging. Four environmental factors, urban residential area, social network, satisfaction with living environment, and air quality, were positively associated with successful aging at the community level; among them, high satisfaction with living environment (OR = 6.06, 95% CI: 2.43-15.12) was the most strongly associated factor with successful aging. CONCLUSIONS The findings suggest that environmental factors are essential for successful aging among older adults in addition to individual factors. Therefore, multiple strategies considering individual and environmental factors are needed to improve successful aging.
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Affiliation(s)
- Bongjeong Kim
- Department of Nursing, Cheongju University, 298 Daesung-Ro, Cheongwon-Gu, Cheongju-si, Chungcheongbuk-do 28503, South Korea.
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15
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Loef B, Herber GCM, Wong A, Janssen NAH, Hoekstra J, Picavet HSJ, Verschuren WMM. Predictors of healthy physiological aging across generations in a 30-year population-based cohort study: the Doetinchem Cohort Study. BMC Geriatr 2023; 23:107. [PMID: 36823523 PMCID: PMC9948415 DOI: 10.1186/s12877-023-03789-2] [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: 10/13/2022] [Accepted: 02/01/2023] [Indexed: 02/25/2023] Open
Abstract
BACKGROUND Predicting healthy physiological aging is of major interest within public health research. However, longitudinal studies into predictors of healthy physiological aging that include numerous exposures from different domains (i.e. the exposome) are scarce. Our aim is to identify the most important exposome-related predictors of healthy physiological aging over the life course and across generations. METHODS Data were used from 2815 participants from four generations (generation 1960s/1950s/1940s/1930s aged respectively 20-29/30-39/40-49/50-59 years old at baseline, wave 1) of the Doetinchem Cohort Study who were measured every 5 years for 30 years. The Healthy Aging Index, a physiological aging index consisting of blood pressure, glucose, creatinine, lung function, and cognitive functioning, was measured at age 46-85 years (wave 6). The average exposure and trend of exposure over time of demographic, lifestyle, environmental, and biological exposures were included, resulting in 86 exposures. Random forest was used to identify important predictors. RESULTS The most important predictors of healthy physiological aging were overweight-related (BMI, waist circumference, waist/hip ratio) and cholesterol-related (using cholesterol lowering medication, HDL and total cholesterol) measures. Diet and educational level also ranked in the top of important exposures. No substantial differences were observed in the predictors of healthy physiological aging across generations. The final prediction model's performance was modest with an R2 of 17%. CONCLUSIONS Taken together, our findings suggest that longitudinal cardiometabolic exposures (i.e. overweight- and cholesterol-related measures) are most important in predicting healthy physiological aging. This finding was similar across generations. More work is needed to confirm our findings in other study populations.
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Affiliation(s)
- Bette Loef
- Center for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
| | - Gerrie-Cor M. Herber
- grid.31147.300000 0001 2208 0118Center for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Albert Wong
- grid.31147.300000 0001 2208 0118Center for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Nicole A. H. Janssen
- grid.31147.300000 0001 2208 0118Center for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Jurriaan Hoekstra
- grid.31147.300000 0001 2208 0118Center for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - H. Susan J. Picavet
- grid.31147.300000 0001 2208 0118Center for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - W. M. Monique Verschuren
- grid.31147.300000 0001 2208 0118Center for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, The Netherlands ,grid.5477.10000000120346234Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
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Healthy aging index and its link with relative education between individual and neighborhood: a population-based, cohort study. BMC Geriatr 2022; 22:778. [PMID: 36192698 PMCID: PMC9528066 DOI: 10.1186/s12877-022-03469-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Accepted: 09/19/2022] [Indexed: 11/10/2022] Open
Abstract
OBJECTIVES There is increasing recognition of the importance of neighborhood socioeconomic status (SES) for establishing an age-friendly society. Despite the benefits of improved neighborhood SES, little is known about the link of relative education between individuals and neighborhoods with healthy aging. This study aims to construct a healthy aging index (HAI) accounting for indicators' interlinkages and to test the association of the HAI with relative education between neighborhoods and individuals. METHODS The study used data from the China Health and Retirement Longitudinal Study from 2011 to 2018, including middle-aged and older adults (≥ 45 years). The final sample comprised 11633 participants residing in 443 neighborhoods with 34123 observations. Based on 13 health indicators, a hybrid method integrating network analysis with TOPSIS was applied to construct a HAI accounting for health interlinkages. Weighted multilevel linear and ordered logistic models were used to estimate the effects of neighborhood education. RESULTS Among the 11633 participants (mean [SD] age, 58.20 [8.91] years; 6415 women [52.82%]), the mean (SD) HAI was 48.94 (7.55) at baseline, showing a downward trend with age. Approximately 10% of participants had a HAI trajectory characterized by a low starting point and fast decline. A one-year increase in neighborhood education was independently associated with a 0.37-point increase (95% CI, 0.23-0.52) in HAI. Regardless of individual education, each participant tended to gain benefits from a neighborhood with higher education. However, the effects of increased neighborhood education were weaker for individuals whose education was lower than the neighborhood average. CONCLUSIONS The HAI is an interaction system. Improving neighborhood education was beneficial to healthy aging, but individuals with lower education relative to the neighborhood average may experience poor person-environment fit and obtain fewer benefits from improved neighborhood education. Thus, in the process of improving neighborhood SES, individual-based interventions should be conducted for individuals whose education level is lower than the neighborhood average to achieve person-environment fit.
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Szwarcwald CL, Souza Júnior PRBD, Damacena GN, Stopa SR, Barros MBDA, Malta DC. Healthy lifestyle and recommendations in health care among hypertensive and diabetic patients in Brazil, 2019. REVISTA BRASILEIRA DE EPIDEMIOLOGIA 2021; 24:e210017. [PMID: 34910071 DOI: 10.1590/1980-549720210017.supl.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 08/30/2021] [Indexed: 11/22/2022] Open
Abstract
OBJECTIVE To estimate prevalence of healthy behaviors among individuals aged 30 years or more, diagnosed with arterial hypertension and diabetes mellitus, using information from the National Health Survey, 2019. METHODS Cross-sectional study with cluster sampling and simple random sampling in three stages. Individuals were aggregated according the following conditions: having arterial hypertension; arterial hypertension only; diabetes mellitus; diabetes mellitus only; arterial hypertension and diabetes mellitus only; without chronic non-communicable diseases. Poisson regression models and crude and adjusted prevalence ratios for sex, age group, and schooling were used. The proportion of recommendations received by patients with arterial hypertension and diabetes mellitus was estimated by type of care (public/private). RESULTS A total of 69,285 individuals aged 30 years or more was analyzed. Compared to individuals without non-communicable diseases, prevalence of consumption of fruits and vegetables ≥5 days a week was significantly higher among individuals with arterial hypertension (39.9% - 95%CI 38.8-41.0) and those with diabetes mellitus (42.8% - 95%CI 40.7-44.9). However, estimates of not having consumed ultra-processed food were low, 19.7% (95%CI 18.9-20.6) and 21.9% (95%CI 20,3-23.5), respectively. Prevalence of not smoking reached values close to 90% and significant prevalence ratios, whereas the practice of physical activity had levels below 30% and non-significant prevalence ratios. The proportion of healthy eating recommendations reached 90%, but it was close to 70% for not smoking. CONCLUSIONS It is necessary to encourage the practice of healthy lifestyles and provide information about the benefits of physical activity and the harmful effects of unhealthy eating for well-being and aging with quality.
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Affiliation(s)
- Célia Landmann Szwarcwald
- Instituto de Comunicação e Informação Científica e Tecnológica em Saúde, Fundação Oswaldo Cruz - Rio de Janeiro (RJ), Brazil
| | | | - Giseli Nogueira Damacena
- Instituto de Comunicação e Informação Científica e Tecnológica em Saúde, Fundação Oswaldo Cruz - Rio de Janeiro (RJ), Brazil
| | - Sheila Rizzato Stopa
- Department of Health Analysis and Surveillance of Non-Communicable Diseases, Secretariat of Health Surveillance, Ministry of Health - Brasília (DF), Brazil
| | | | - Deborah Carvalho Malta
- Maternal Child Nursing and Public Health Department, Nursing School, Universidade Federal de Minas Gerais - Belo Horizonte (MG), Brazil
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Nie P, Li Y, Ding L, Sousa-Poza A. Housing Poverty and Healthy Aging in China: Evidence from the China Health and Retirement Longitudinal Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:9911. [PMID: 34574834 PMCID: PMC8471028 DOI: 10.3390/ijerph18189911] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 09/17/2021] [Accepted: 09/18/2021] [Indexed: 11/22/2022]
Abstract
BACKGROUND Although prior research on the housing-health linkage suggested that those with poor housing conditions are more likely to report poor health, it is dominated by Western studies and offers little evidence on the housing-health relation in China. Scarce is empirical evidence on the potentially detrimental impact of either qualitative or quantitative housing poverty on health outcomes, especially for seniors in China. This paper aims to fill this void by using data from the 2011-2015 China Health and Retirement Longitudinal Study (CHARLS) to provide a comprehensive analysis of the demographic, socioeconomic, and behavioral factors that contribute to changes in healthy aging among Chinese adults aged 60 and over. METHODS Data collected from 8839 adults aged 60 and over in the 2011 and 2015 CHARLS (3732 in 2011 and 5107 in 2015) were used. We first used six blood-based biomarkers to construct a composite measure of the Chinese Healthy Aging Index (CHAI, ranging from 0 (healthiest) to 12 (unhealthiest)) and then assessed the psychometric properties of the CHAI score, including acceptability, internal consistency, convergent validity, discriminative validity and precision. In addition, we employed both mean-based Blinder-Oaxaca and unconditional quantile regression decomposition to decompose the change in healthy aging within the 2011-2015 period. RESULTS We overall identified a decrease in CHAI score from 5.69 in 2011 to 5.20 in 2015, which implies an improvement in healthy aging during this period. Our linear decomposition revealed that dependent on the type of measure used (whether quality, quantity, or combined quality-quantity), housing poverty explained 4-8% of the differences in CHAI score. Our distributional decompositions also highlighted an important role for housing poverty in the change in healthy aging, accounting for approximately 7-23% of the explained portion. Within this latter, the relative contribution of housing quantity and quality poverty was more pronounced at the median and upper end of the CHAI distribution. We also found household expenditure to be significantly associated with healthy aging among older Chinese adults and made the largest contribution to the improvement in healthy aging over time. CONCLUSIONS The association between housing poverty and CHAI is independent of household expenditure. Regardless of type, housing poverty is positively associated with a decrease in healthy aging. Thus, improved housing conditions boost healthy aging, and housing amelioration initiatives may offer the most effective solution for augmenting healthy aging in China. Improvement of flush toilets and the access to potable water and a separate kitchen require particular attention. Since high-density congested housing has a negative impact on healthy aging, more attention can also be paid to improvements in the available space for older people. Especially at an institutional level, the government may extend the housing policy from a homeownership scheme to a housing upgrading scheme by improving housing conditions.
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Affiliation(s)
- Peng Nie
- School of Economics and Finance, Xi’an Jiaotong University, Xi’an 710061, China; (Y.L.); (L.D.); (A.S.-P.)
- Institute for Health Care & Public Management, University of Hohenheim, 70599 Stuttgart, Germany
| | - Yan Li
- School of Economics and Finance, Xi’an Jiaotong University, Xi’an 710061, China; (Y.L.); (L.D.); (A.S.-P.)
| | - Lanlin Ding
- School of Economics and Finance, Xi’an Jiaotong University, Xi’an 710061, China; (Y.L.); (L.D.); (A.S.-P.)
| | - Alfonso Sousa-Poza
- School of Economics and Finance, Xi’an Jiaotong University, Xi’an 710061, China; (Y.L.); (L.D.); (A.S.-P.)
- Institute for Health Care & Public Management, University of Hohenheim, 70599 Stuttgart, Germany
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Wagg E, Blyth FM, Cumming RG, Khalatbari-Soltani S. Socioeconomic position and healthy ageing: A systematic review of cross-sectional and longitudinal studies. Ageing Res Rev 2021; 69:101365. [PMID: 34004378 DOI: 10.1016/j.arr.2021.101365] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 03/25/2021] [Accepted: 05/13/2021] [Indexed: 12/20/2022]
Abstract
BACKGROUND The association between socioeconomic position (SEP) and health is well-established. However, the association between SEP and healthy ageing as a multidimensional construct is unclear. METHODS We conducted a systematic review of peer-reviewed cross-sectional and longitudinal studies on the associations between SEP and multidimensional healthy ageing measures. Studies were identified from a systematic search across major electronic databases from inception to February 2021. RESULTS Fourthy-five articles met inclusion criteria (26 cross-sectional and 19 longitudinal studies). There was no consistency in method of operationalizing healthy ageing across studies, domains included in the healthy ageing measures, or in the definition and number of levels of SEP indicators. Overall, regardless of heterogeneity between studies, a positive association between educational level (85.0 % of studies) and income/wealth (81.4 % of studies) and healthy ageing was evident. Regarding occupational position, evidence from 11 studies was inconclusive. The number of studies including home ownership, parenteral SEP, or composite SEP scores was insufficient to be able to draw a conclusion. CONCLUSIONS There is evidence that socioeconomic inequalities, as assessed by educational level and income/wealth, are associated with healthy ageing. These findings, and the broader evidence base on SEP and healthy ageing, highlight the importance of addressing inequality through integrated health and social policies and strategies.
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Affiliation(s)
- Emma Wagg
- The University of Sydney School of Public Health, Faculty of Medicine and Health, New South Wales, Australia
| | - Fiona M Blyth
- The University of Sydney School of Public Health, Faculty of Medicine and Health, New South Wales, Australia; ARC Centre of Excellence in Population Ageing Research (CEPAR), University of Sydney, Sydney, Australia
| | - Robert G Cumming
- The University of Sydney School of Public Health, Faculty of Medicine and Health, New South Wales, Australia; ARC Centre of Excellence in Population Ageing Research (CEPAR), University of Sydney, Sydney, Australia
| | - Saman Khalatbari-Soltani
- The University of Sydney School of Public Health, Faculty of Medicine and Health, New South Wales, Australia; ARC Centre of Excellence in Population Ageing Research (CEPAR), University of Sydney, Sydney, Australia.
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Naganuma H, Ishida H. One-day seminar for residents for implementing abdominal pocket-sized ultrasound. World J Methodol 2021; 11:208-221. [PMID: 34322370 PMCID: PMC8299907 DOI: 10.5662/wjm.v11.i4.208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Revised: 04/10/2021] [Accepted: 06/01/2021] [Indexed: 02/06/2023] Open
Abstract
Despite its proven high utility, integration of pocked-sized portable ultrasound (US) into internal medicine residency training remains inconsistent. For 10 years, we have held a 1-d seminar biannually, consisting of lecture (half-day) and hands-on training (half-day) on pocket-sized US of the abdomen and lungs. The lecture consists of training on US physics and clinical applications of pocket-sized US, followed by a lecture covering the basic anatomy of the abdomen and lungs and introducing the systemic scanning method. Given the simple structure of pocket-sized US devices, understanding the basic physics is sufficient yet necessary to operate the pocket-sized US device. It is important to understand the selection of probes, adjustment of B mode gain, adjustment of color gain, and acoustic impedance. Basic comprehension may have a significant positive impact on the overall utilization of pocket-sized US devices. The easiest and most reliable way to observe the whole abdomen and lungs is a combination of transverse, sagittal, and oblique scanning, pursuing the main vascular system from the center to the periphery of the organ in the abdomen and systemic scanning of the pleura. There is usually a marked change in knowledge and attitudes among the program participants, although skill gaps remain among them. We discuss the limitations and problems to this education system as well.
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Affiliation(s)
- Hiroko Naganuma
- Department of Gastroenterology, Yokote Municipal Hospital, Yokote 0138602, Akita, Japan
| | - Hideaki Ishida
- Department of Gastroenterology, Akita Red Cross Hospital, Akita-City 010-1495, Japan
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Liu J, Qu Q, Xuekelati S, Bai X, Wang L, Xiang H, Wang H. Geographic and Age Variations in Low Body Mass Index Among Community-Dwelling Older People in Xinjiang: A Cross-Sectional Study. Front Med (Lausanne) 2021; 8:675931. [PMID: 34336883 PMCID: PMC8319472 DOI: 10.3389/fmed.2021.675931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Accepted: 06/07/2021] [Indexed: 11/24/2022] Open
Abstract
Background: Studies have shown an association between undernutrition and increased adverse outcome, as well as substantial geographic and age variations in undernutrition. Body mass index (BMI), a core indicator of undernutrition, is easy to measure and reflects the nutritional and health status of the human body. It is a simple and suitable tool for epidemiological investigations in large sample populations. Herein, we provide the first description of geographic and age variations in the prevalence of low BMI among community-dwelling older people in Xinjiang. Methods: From January 2019 to December 2019, using a multi-stage random sampling method, we conducted a cross-sectional epidemiological survey of the community-dwelling older people in Xinjiang at different latitudes. Of the 87,000 participants, the statistical analyses included 86,514 participants with complete data. Results: In Xinjiang, the prevalence of low BMI was 7.7% in the community-dwelling older people. The BMI gradually decreased with increasing age and gradually increased with latitude. The prevalence of low BMI in northern Xinjiang was 5.3%, which was significantly lower than that in eastern (7.7%) and southern (9.3%) Xinjiang. In the 60–69-, 70–79-, 80–89-, and ≥90-year age groups, the prevalence rates of low BMI were 5.8, 7.9, 10.0, and 13.9%, respectively. After adjusting for confounding factors (sex, ethnic group, hypertension, diabetes, hyperlipemia, smoking, and drinking), multivariate logistic regression analysis showed that the odds ratios (95% CI) for low BMI in eastern and southern Xinjiang were 1.165 (1.056–1.285) and 1.400 (1.274–1.538), respectively, compared to northern Xinjiang. The adjusted odds ratios (95% CI) for low BMI in the 70–79-, 80–89-, and ≥90-year age groups were 1.511 (1.39–1.635), 2.233 (2.030–2.456), and 3.003 (2.439–3.696), respectively, compared to the 60–69-year age group. Conclusion: The results of this study revealed geographic and age variations in the prevalence of low BMI in the community-dwelling older people in Xinjiang. The prevalence of low BMI gradually increased as the latitude decreased and as age increased.
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Affiliation(s)
- Jinling Liu
- Second Department of the Cadre Health Care Center, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China
| | - Qun Qu
- The Health Center for the Cadre of Xinjiang Uygur Autonomous Region, Urumqi, China
| | - Saiyare Xuekelati
- Second Department of the Cadre Health Care Center, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China
| | - Xue Bai
- Second Department of the Cadre Health Care Center, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China
| | - Li Wang
- Second Department of the Cadre Health Care Center, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China
| | - Hong Xiang
- Second Department of the Cadre Health Care Center, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China
| | - Hongmei Wang
- Second Department of the Cadre Health Care Center, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China
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