BackgroundIn China, the problems of population aging and empty nesting have become important issues which will affect the social stability and economic development. The aim of this study was to explore the health promoting lifestyles and influencing factors among empty nesters and compare with non-empty nesters to find out their differences, so as to provide a scientific evidence for people to formulate health management strategies for elderly.MethodsA cross-sectional survey which used a stratified random cluster sampling method, was conducted among 500 elders in six districts of Taiyuan, China, there were 288 empty nesters and 212 non-empty nesters. The general information and health- promoting lifestyles were investigated by using the self-made General Information Questionnaire and Health Promoting Lifestyle Scale(HPLP). Two-sample t-test and Chi-square test were used to compare the sociodemographic factors, HPLP scores of empty nesters to non-empty nesters; Multiple stepwise linear regression was performed to estimate influencing factors related to the HPLP of empty nesters and non-empty nesters.ResultsThe current findings showed that there were differences between the empty nesters and non-empty nesters in gender, resident, marital status, education and income, self-care ability, source of income, relationship with spouse and social activities (P < 0.05). Empty nesters were mostly male, married, had a higher education level, self-care ability and income and lived in urban compared with non-empty nesters. The health promoting lifestyles of the elderly in this survey were in the medium level, the highest score for all dimensions in both groups was in nutrition, whereas health responsibility was executed worst. The HPLP and six subscales scores of the empty nesters were higher than non-empty nesters, there were significant differences in total score of HPLP, self-realization and health responsibility (P < 0.01). Multiple regression analysis showed that the main predictive factors for the empty nesters were education, self-care ability and resident, whereas the main predictive factors for the non-empty nesters were parents-child relationship, source of income and age; social activity was the common factor for two group.ConclusionThe health promoting lifestyles of the empty nesters was better than that of the non-empty nesters. Health responsibility, interpersonal relations and stress management were key dimensions to be improved. Except social activity, education, self-care ability and resident were the unique influencing factors of health-promoting lifestyles for empty nesters, while the parents-child relationship, income and age were unique factors for non-empty nesters. The main target of Intervention strategy for elderly health promoting lifestyles should be the enhance of health responsibility, interpersonal relations and stress management by improving social activities, parent-child relationship, education and income of elderly.
Background Influenced by various factors such as socio-demographic characteristics, behavioral lifestyles and socio-cultural environment, the multimorbidity patterns in old adults remain complex. This study aims to identify their characteristics and associated multi-layered factors based on health ecological model. Methods In 2019, we surveyed a total of 7480 participants aged 60+ by using a multi-stage random cluster sampling method in Shanxi province, China. Latent class analysis was used to discriminate the multimorbidity patterns in old adults, and hierarchical regression was performed to determine the multi-layered factors associated with their various multimorbidity patterns. Results The prevalence of multimorbidity was 34.70% among the old patients with chronic disease. Over half (60.59%) of the patients with multimorbidity had two co-existing chronic diseases. “Degenerative/digestive diseases”, “metabolic diseases” and “cardiovascular diseases” were three specific multimorbidity patterns. Behavioral lifestyles-layered factors had the most explanatory power for the three patterns, whose proportions of explanatory power were 54.00, 43.90 and 48.15% individually. But the contributions of other multi-layered factors were different in different patterns; balanced diet, medication adherence, the size of family and friendship network, and different types of basic medical insurance might have the opposite effect on the three multimorbidity patterns (p < 0.05). Conclusions In management of old patients with multimorbidity, we should prioritize both the “lifestyle change”-centered systematic management strategy and group-customized intervention programs.
BackgroundChina has the world’s largest size of elderly population. Mental disorders of the elders deserve keen attention. This study aims to comparatively explore mental disorders and risk factors among empty and non-empty nesters.MethodsUsing the stratified random cluster sampling method, we recruited 8526 elders aged 60 years and above from 11 cities in Shanxi Province in central China, comprising 4901 empty and 3625 non-empty nesters. The mental disorders were assessed with the 12-item Chinese Health Questionnaire (CHQ-12). The binary logistic regression was performed to analyze the risk factors in the two groups.ResultsThe prevalence of mental disorders in empty nesters was significantly higher than that in non-empty ones (26.9% vs 23.5%). Binary logistic regression showed that the empty nesters who lived alone or lived in an institution were more likely to suffer from mental disorders compared with the non-empty ones, empty nesters living with spouse showed no significant deviation. And single status, hardly or part self-care ability, having chronic diseases, having lower income, and paying less attention to daily healthy diet had positive associations with mental disorders for empty nesters, and no or partial self-care ability and having chronic diseases for non-empty nesters.ConclusionsThe study indicated that empty nesters had a higher prevalence of mental disorders than non-empty ones. Empty nesters living alone, with no or partial self-care ability, chronic disease, lower income and less attention to daily healthy diet were more vulnerable to mental disorders. And the lack of self-care ability and having chronic diseases were risk factors of mental disorders for non-empty nesters.
Background As China’s aging trend intensifies and the proportion of empty nests increases, the health-related quality of life of the elderly is the focus of social attention. Previous studies focused on the quality of life of the elderly, rather than empty nesters, and lacked the discussion of the mechanism of influencing factors. Thus, this study aimed to explore the influencing factors of the quality of life (QOL) and interaction mechanisms among empty nesters in Shanxi Province, China, so as to provide practical reference for improving the QOL of empty nesters. Methods A total of 4901 empty nesters in Shanxi Province, China, were selected using multi-stage random cluster sampling method in this cross-sectional study. The quality of life was assessed with the Short Form 36 Health Survey (SF-36). Multiple linear regression analysis (stepwise) was performed to examine the factor associated with QOL. Structural equation model (SEM) approach was conducted to test the direct and indirect association between QOL influencing factors with QOL. Results The average QOL score of empty nesters was 63.34 (SD = 17.23). The multiple linear regression revealed that gender, age, education, monthly income, drinking status, exercise frequency, physical examination frequency, attention to daily nutritional health, relationship with a spouse and relationship with children were significant predictors of the empty nester’s QOL (P < 0.05) (R2 = 0.128). SEM showed that behavioral lifestyle had a direct effect on QOL (β = 0.446, P < 0.001). Socio-economic status had an indirect effect (β = 0.288, P < 0.001) on QOL through behavioral lifestyle. The family relationship had an indirect effect (β = 0.115, P < 0.001) on QOL. Conclusion Behavioral lifestyle was the strongest influencing factor in the quality of life among empty nesters, followed by socio-economic status and family relationships. Thus, maintaining a healthy behavioral lifestyle was important to improve the QOL of the empty nesters. Our findings provide a concrete and strong reference for the formulation of targeted intervention strategies.
Background China has the world’s largest elderly population and an increasing number of empty-nest elderly. The purpose of this study is to evaluate the effectiveness of the Self-Mutual-Group model on social support of the empty-nest elderly, thus providing reference for improving their quality of life. Methods A intervention study was conducted between October 2016 and May 2017 at six communities in Taiyuan, Shanxi Province, China. A total of 350 empty-nest elderly aged 60–88 years were randomly assigned in the intervention group (n = 167) with a 7-month SMG-based intervention or to a control group (n = 183) with no intervention. The social support of the participating elderly (n = 350) was assessed by the Social Support Rating Scale (SSRS) at the baseline and 7 months later, respectively. Results A 7-month follow-up showed an increasing mean scores of SSRS, objective support, subjective support and support utilization of the intervention group, and reached statistical significance (P < 0.05). Conclusions The Self-Mutual-Group model was considered to be a positive intervention and was effective in increasing social support among the empty-nest elderly. Furthermore, future research should extend the intervention period and introduce multi-point measurement to better evaluate the intervention process and outcomes. Trial registration Study on the ‘SMG’ Health Management Model Based on Community Organization Theory among empty-nest elderly (ChiCTR1800015884).
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.