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Lu H, Dong XX, Li DL, Nie XY, Wang P, Pan CW. Multimorbidity patterns and health-related quality of life among community-dwelling older adults: evidence from a rural town in Suzhou, China. Qual Life Res 2024; 33:1335-1346. [PMID: 38353890 DOI: 10.1007/s11136-024-03608-0] [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] [Accepted: 01/11/2024] [Indexed: 04/26/2024]
Abstract
PURPOSE The high prevalence of multimorbidity in aging societies has posed tremendous challenges to the healthcare system. The aim of our study was to comprehensively assess the association of multimorbidity patterns and health-related quality of life (HRQOL) among rural Chinese older adults. METHODS This was a cross-sectional study. Data from 4,579 community-dwelling older adults aged 60 years and above was collected by the clinical examination and questionnaire survey. Information on 10 chronic conditions was collected and the 3-Level EQ-5D (EQ-5D-3L) was adopted to measure the HRQOL of older adults. An exploratory factor analysis was performed to determine multimorbidity patterns. Regression models were fitted to explore the associations of multimorbidity patterns with specific health dimensions and overall HRQOL. RESULTS A total of 2,503 (54.7%) participants suffered from multimorbidity, and they reported lower HRQOL compared to those without multimorbidity. Three kinds of multimorbidity patterns were identified including cardiovascular-metabolic diseases, psycho-cognitive diseases and organic diseases. The associations between psycho-cognitive diseases/organic diseases and overall HRQOL assessed by EQ-5D-3L index score were found to be significant (β = - 0.097, 95% CI - 0.110, - 0.084; β = - 0.030, 95% CI - 0.038, - 0.021, respectively), and psycho-cognitive diseases affected more health dimensions. The impact of cardiovascular-metabolic diseases on HRQOL was largely non-significant. CONCLUSION Multimorbidity was negatively associated with HRQOL among older adults from rural China. The presence of the psycho-cognitive diseases pattern or the organic diseases pattern contributed to worse HRQOL. The remarkable negative impact of psycho-cognitive diseases on HRQOL necessiates more attention and relevant medical assistance to older rural adults.
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Affiliation(s)
- Heng Lu
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
| | - Xing-Xuan Dong
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
| | - Dan-Lin Li
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
| | - Xin-Yi Nie
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
| | - Pei Wang
- School of Public Health, Fudan University, Shanghai, China.
- Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China (Fudan University), Shanghai, China.
| | - Chen-Wei Pan
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China.
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Zhang C, Nie C, Su W, Balezentis T. Are digital technologies an effective inhibitor of depression among middle-aged and older adults? Micro-level evidence from a panel study. Soc Sci Med 2024; 348:116853. [PMID: 38598985 DOI: 10.1016/j.socscimed.2024.116853] [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: 01/07/2024] [Revised: 03/07/2024] [Accepted: 04/01/2024] [Indexed: 04/12/2024]
Abstract
The increased number of middle-aged and older adults leads to depression in this stratum of the population as a topical social and public health issue. However, the new generation of information technologies has exerted a profound impact on the lives of middle-aged and older adults, and offers potential solutions for alleviating their depression. This study utilizes data from the China Health and Retirement Longitudinal Study (CHARLS) collected between 2011 and 2018 and combines them with city-level traits. The results demonstrate that digital technology can reduce depression levels effectively in this group. Mechanism analysis reveals that digital technology could improve life satisfaction and subjective health status levels, which, in turn, reduces depression levels. Heterogeneity analysis shows that the positive effects of digital technology on depression were more pronounced among middle-aged and older adults with urban household registration compared to the rural population. Finally, recommendations are provided for reducing depression levels among middle-aged and older adults.
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Affiliation(s)
- Chonghui Zhang
- College of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, 310018, China.
| | - Chenying Nie
- College of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, 310018, China.
| | - Weihua Su
- College of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, 310018, China.
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Saha A, Mandal B, Muhammad T, Ali W. Decomposing the rural-urban differences in depression among multimorbid older patients in India: evidence from a cross-sectional study. BMC Psychiatry 2024; 24:60. [PMID: 38254089 PMCID: PMC10804604 DOI: 10.1186/s12888-023-05480-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Accepted: 12/25/2023] [Indexed: 01/24/2024] Open
Abstract
BACKGROUND In India, the prevalence of depression among older adults dealing with multiple health conditions varies between rural and urban areas due to disparities in healthcare access and cultural factors. The distinct patterns observed underscore the necessity for tailored research and interventions to address mental health inequalities among multimorbid older patients in diverse geographic contexts. METHODS This study used data from the Longitudinal Ageing Study in India (LASI) wave 1 (2017-18). A total of 7,608 adults aged ≥ 60 years who were diagnosed with two or more chronic conditions (such as hypertension, diabetes, cancer, chronic lung disease, chronic heart diseases, stroke, bone/joint disease, any neurological or psychiatric diseases, and high cholesterol) were included in this study. Descriptive statistics, bivariate analysis, logistic regression estimates, and Fairlie decomposition method were used to accomplish the study's objectives. RESULTS The prevalence of depression among older adults with multimorbidity was 9.48% higher in rural areas (38.33%) than in urban areas (28.85%).. Older adults with multimorbidity belonging to the scheduled caste group were 40% more likely to experience depression. Moreover, those with multimorbidity and any form of disability in activities of daily living (ADL) were 93% more likely to experience depression than those without disability, whereas those with multimorbidity and perceived good general health were 65% less likely to suffer from depression than those with poor self-perceived health. Additionally, decomposition analysis revealed that education (35.99%), caste status (10.30%), IADL disability (19.30%), and perceived discrimination (24.25%) were the primary factors contributing to the differences in depression prevalence among older adults with multimorbidity between rural and urban areas. CONCLUSIONS We found significant rural-urban differences in depression among older Indians with multimorbidity. The findings underscore the need for targeted interventions that address the unique challenges faced by older patients in rural areas, including lack of social capital, discrimination, and limited resources that enable access to healthcare services. Policymakers and healthcare professionals must collaboratively design and implement effective strategies to improve the mental health and overall well-being of rural older adults, particularly those with multiple comorbidities.
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Affiliation(s)
- Amiya Saha
- Department of Family & Generations, International Institute for Population Sciences, Mumbai, 400088, India.
| | - Bittu Mandal
- School of Humanities and Social Sciences, Indian Institute of Technology, Indore, 453552, India
| | - T Muhammad
- Center for Healthy Aging, The Pennsylvania State University, University park, 16802, USA
| | - Waad Ali
- Department of Geography, Sultan Qaboos University, Muscat, 123, Oman
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Yuan L, Yu B, Bing Y, Du M, Zhao Z, Sun J. Gender differences in depressive symptoms among Chinese older adults based on fairlie decomposition analysis. Heliyon 2023; 9:e21555. [PMID: 37954279 PMCID: PMC10637998 DOI: 10.1016/j.heliyon.2023.e21555] [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: 07/11/2022] [Revised: 10/23/2023] [Accepted: 10/24/2023] [Indexed: 11/14/2023] Open
Abstract
This study aimed to investigate the factors influencing depressive symptoms among Chinese older adults based on gender differences. Data from the eighth wave of Chinese Longitudinal Health Longevity Survey were used. We analyzed the influencing factors of depressive symptoms reported by older adults using the chi-squared test and logistic model. Fairlie decomposition analysis was performed to quantify the contribution level of each influencing factor. We found that 11.71 % of older adults met the CES-D-10 criteria for depressive symptoms. Females (13.89 %) reported a significantly higher level of depressive symptoms than males (9.24 %). Age, residence, sleeping time, exercise, activities of daily living functional disability, instrumental activity of daily living functional disability, and living status influenced depressive symptoms in older adults. Higher education and lower body mass index were only significant in male, whereas middle annual income and exercising were significant only in female. The Fairlie decomposition model explained the reasons for 75.64 % of the gender differences in depressive symptoms, with instrumental activity of daily living functional disability (33.60 %), age (-17.79 %), and education level (17.41 %) being major factors affecting gender differences in depressive symptoms. This is the first nationwide study to examine gender differences in depressive symptoms among older adults. These results provide a basis for relevant Chinese government departments to formulate policies to prevent and control depressive symptoms.
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Affiliation(s)
- Lei Yuan
- Department of Health Management, Faculty of Military Health Service, Naval Medical University, Shanghai, China
| | - Boyang Yu
- Department of Medical Health Service, General Hospital of Northern Theater Command of PLA, Shenyang, China
| | - Yan Bing
- Department of Health Management, Faculty of Military Health Service, Naval Medical University, Shanghai, China
| | - Maolin Du
- Department of Office, Naval Medical University, Shanghai, China
| | - Zhe Zhao
- Department of Health Management, Faculty of Military Health Service, Naval Medical University, Shanghai, China
| | - Jinhai Sun
- Department of Health Management, Faculty of Military Health Service, Naval Medical University, Shanghai, China
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Fu C, Cao L, Yang F. Prevalence and determinants of depressive symptoms among community-dwelling older adults in China based on differences in living arrangements: a cross-sectional study. BMC Geriatr 2023; 23:640. [PMID: 37817063 PMCID: PMC10563220 DOI: 10.1186/s12877-023-04339-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 09/21/2023] [Indexed: 10/12/2023] Open
Abstract
BACKGROUND Older adults with different living arrangements may have different mental health statuses and different factors that influence their mental health. The aim of the present study is to investigate the prevalence and determinants of depressive symptoms among community-dwelling older adults in China based on differences in their living arrangements. METHODS Participants were 6,055 older adults from the 2015 China Health and Retirement Longitudinal Study. Depressive symptoms and their determinants were evaluated using the 10-item Center for Epidemiologic Studies Depression Scale and multivariate logistic regression analysis, respectively. RESULTS The prevalence of depressive symptoms among older adults living alone, as a couple, and with children was 47.8%, 33.2%, and 39.5%, respectively. The common risk factors for depressive symptoms were shorter sleep duration, poorer activities of daily living, and poorer self-rated health. Women, those with lower educational levels, and those suffering from chronic diseases had a higher risk of depressive symptoms among older adults living as a couple and those living with children. Smoking and participation in economic activities were also risk factors of depressive symptoms among older adults living with children and those living alone, respectively. CONCLUSIONS The findings suggest that older adults living as couples had the lowest prevalence of depressive symptoms, while those living alone had the highest prevalence of depressive symptoms. The determinants of depressive symptoms differed by living arrangement; hence, they should be considered in future interventions.
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Affiliation(s)
- Chang Fu
- Department of Health Service and Management, School of Public Health and Management, Binzhou Medical University, No.346 Guanhai Road, Yantai, Shandong, 264003, China
| | - Lianmeng Cao
- Department of Gastrointestinal Surgery Bariatric and Metabolic Surgery, Binzhou Medical University Hospital, No.661 2nd Huanghe Road, Binzhou, Shandong, 256603, China
| | - Fan Yang
- Department of Information Center, Xiangyang No.1 People's Hospital, Hubei University of Medicine, 15th Jiefang Road, Xiangyang, Hubei, 441000, China.
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Zhou P, Wang S, Yan Y, Lu Q, Pei J, Guo W, Yang X, Li Y. Association between chronic diseases and depression in the middle-aged and older adult Chinese population-a seven-year follow-up study based on CHARLS. Front Public Health 2023; 11:1176669. [PMID: 37546300 PMCID: PMC10403076 DOI: 10.3389/fpubh.2023.1176669] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 06/30/2023] [Indexed: 08/08/2023] Open
Abstract
Background With the aging of the Chinese population, the prevalence of depression and chronic diseases is continually growing among middle-aged and older adult people. This study aimed to investigate the association between chronic diseases and depression in this population. Methods Data from the China Health and Retirement Longitudinal Study (CHARLS) 2011-2018 longitudinal survey, a 7-years follow-up of 7,163 participants over 45 years old, with no depression at baseline (2011). The chronic disease status in our study was based on the self-report of the participants, and depression was defined by the 10-item Center for Epidemiologic Studies Depression Scale (CES-D-10). The relationship between baseline chronic disease and depression was assessed by the Kaplan-Meier method and Cox proportional hazards regression models. Results After 7-years follow-up, 41.2% (2,951/7163, 95% CI:40.1, 42.3%) of the participants reported depression. The analysis showed that participants with chronic diseases at baseline had a higher risk of depression and that such risk increased significantly with the number of chronic diseases suffered (1 chronic disease: HR = 1.197; 2 chronic diseases: HR = 1.310; 3 and more chronic diseases: HR = 1.397). Diabetes or high blood sugar (HR = 1.185), kidney disease (HR = 1.252), stomach or other digestive diseases (HR = 1.128), and arthritis or rheumatism (HR = 1.221) all significantly increased the risk of depression in middle-aged and older adult Chinese. Conclusion The present study found that suffering from different degrees of chronic diseases increased the risk of depression in middle-aged and older adult people, and these findings may benefit preventing depression and improving the quality of mental health in this group.
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Affiliation(s)
- Pengfei Zhou
- Department of Information, Medical Support Center, The General Hospital of Western Theater Command, Chengdu, Sichuan, China
- School of Public Health, Southwest Medical University, Luzhou, Sichuan, China
| | - Shuai Wang
- Department of Outpatient, The General Hospital of Western Theater Command, Chengdu, Sichuan, China
| | - Ya Yan
- Department of Information, Medical Support Center, The General Hospital of Western Theater Command, Chengdu, Sichuan, China
| | - Qiang Lu
- Department of Information, Medical Support Center, The General Hospital of Western Theater Command, Chengdu, Sichuan, China
| | - Jiaxing Pei
- Department of Information, Medical Support Center, The General Hospital of Western Theater Command, Chengdu, Sichuan, China
- School of Public Health, Southwest Medical University, Luzhou, Sichuan, China
| | - Wang Guo
- Department of Information, Medical Support Center, The General Hospital of Western Theater Command, Chengdu, Sichuan, China
- Department of Statistics, College of Mathematics, Southwest Jiaotong University, Chengdu, Sichuan, China
| | - Xiaoguang Yang
- Department of Information, Medical Support Center, The General Hospital of Western Theater Command, Chengdu, Sichuan, China
| | - Yunming Li
- Department of Information, Medical Support Center, The General Hospital of Western Theater Command, Chengdu, Sichuan, China
- School of Public Health, Southwest Medical University, Luzhou, Sichuan, China
- Department of Statistics, College of Mathematics, Southwest Jiaotong University, Chengdu, Sichuan, China
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Yu Y, Fu M, Yang F, Guo J. The Relationship Between Effort-Reward Imbalance and Depressive Symptoms Among Chinese Firefighters: Moderating by Coping Styles. J Occup Environ Med 2023; 65:300-306. [PMID: 36730929 DOI: 10.1097/jom.0000000000002739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
OBJECTIVES This study aims to examine the association between effort-reward imbalance (ERI) and depressive symptoms among Chinese firefighters and the moderating role of positive and negative coping styles in the above association. METHODS A cross-sectional study including 1328 male firefighters was conducted in China. We adopted the Center for Epidemiologic Studies Depression Scale to measure depressive symptoms. RESULTS Results showed that ERI was associated with depressive symptoms. Individuals with a higher ERI ratio and greater overcommitment were likely to have higher level of depressive symptoms. Furthermore, negative coping style strengthened the relationship between ERI ratio and overcommitment with depressive symptoms, whereas the positive coping style presented none significant moderation. CONCLUSIONS These findings indicate that reforming the effort-reward system might be helpful for mental health promotion among Chinese firefighters.
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Affiliation(s)
- Yebo Yu
- From the Department of Social Medicine and Health Education, School of Public Health, Peking University, Beijing, China (Y.Y.); Center for Social Security Studies, Wuhan University, Wuhan, China (M.F.); and Department of Health Policy and Manage, School of Public Health, Peking University, Beijing, China (J.G., F.Y.)
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Han T, Han M, Moreira P, Song H, Li P, Zhang Z. Association between specific social activities and depressive symptoms among older adults: A study of urban-rural differences in China. Front Public Health 2023; 11:1099260. [PMID: 37064675 PMCID: PMC10102908 DOI: 10.3389/fpubh.2023.1099260] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 03/03/2023] [Indexed: 04/03/2023] Open
Abstract
BackgroundEngaging in social activities can help older persons with their depressed symptoms. Few studies, however, have looked into the connection between social interactions and depressed symptoms in Chinese older persons. The aim of this study was to investigate differences in older Chinese individuals' social activity involvement and depressive symptoms across urban and rural settings.MethodsA cross-sectional investigation using information from the 2018 China Health and Retirement Longitudinal Study (CHARLS), which was limited to older individuals aged 60 and over. Generalized linear models were constructed to assess the effects of participants' characteristics and specific social activities on CES-D scores. The association between specific social activities and depressed symptoms was investigated using multivariate logistic regression analysis.ResultsIn this study, it was discovered that older individuals had a prevalence of depressed symptoms of 36.2%, with rural older adults having a greater prevalence of depressive symptoms (39.7%) than urban older adults (30.9%). Our results showed that for urban respondents, providing help to others (not regularly. OR = 0.753, 95% CI: 0.579–0.980, P = 0.035), going to a sport (not regularly. OR = 0.685, 95% CI: 0.508–0.924, P = 0.013), and using the Internet (not regular. OR = 0.613, 95% CI: 0.477–0.789, P < 0.001; almost weekly. OR = 0.196, 95% CI: 0.060–0.645, P = 0.007) were all significantly and negatively associated with depressive symptoms, while for rural respondents, interacting with friends (not regularly. OR = 1.205, 95% CI: 1.028–01.412, P = 0.021) and using the Internet (not regularly. OR = 0.441, 95% CI: 0.278–0.698, P < 0.001) were significantly and negatively associated with depressive symptoms.ConclusionsAccording to our research, there is a cross-sectional relationship between participating in a specific social activity and depressed symptoms in Chinese older adults, and this relationship varies across urban and rural older adults. This suggests that taking part in specific social activities may be crucial for reducing depression symptoms in older persons, developing more focused interventions that might support healthy aging, and offering a guide for policymakers and activists working to improve the mental health of seniors.
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Affiliation(s)
- Tanqian Han
- Department of Nursing, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
- School of Nursing, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China
| | - Mei Han
- Department of Nursing, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
- *Correspondence: Mei Han
| | - Paulo Moreira
- International Healthcare Management Research and Development Centre, Shandong Provincial Qianfoshan Hospital, Jinan, Shandong, China
- Atlantica Instituto Universitario, Gestao em Saude, Oeiras, Portugal
| | - Hongxia Song
- Department of Nursing, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
| | - Ping Li
- Department of Nursing, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
| | - Zhenlong Zhang
- Department of Nursing, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
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Rivera KM, Mollalo A. Spatial analysis and modelling of depression relative to social vulnerability index across the United States. GEOSPATIAL HEALTH 2022; 17. [PMID: 36047342 DOI: 10.4081/gh.2022.1132] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 08/09/2022] [Indexed: 06/15/2023]
Abstract
According to the Substance Abuse and Mental Health Services Administration, about 21 million adults in the US experience a major depressive episode. Depression is considered a primary risk factor for suicide. In the US, about 19.5% of adults are reported to be experiencing a depressive disorder, leading to over 45,000 deaths (14.0 deaths per 100,000) due to suicides. To our knowledge, no previous spatial analysis study of depression relative to the social vulnerability index has been performed across the nation. In this study, county-level depression prevalence and indicators were compiled. We analysed the geospatial distribution of depression prevalence based on ordinary least squares, geographically weighted regression, and multiscale geographically weighted regression models. Our findings indicated that the multiscale model could explain over 86% of the local variance of depression prevalence across the US based on per capita income, age 65 and older, belonging to a minority group (predominantly negative impacts), and disability (mainly positive effect). This study can provide valuable insights for public health professionals and policymakers to address depression disparities.
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Affiliation(s)
- Kiara M Rivera
- Department of Public Health and Prevention Science, School of Health Sciences, Baldwin Wallace University, Berea, OH.
| | - Abolfazl Mollalo
- Department of Public Health and Prevention Science, School of Health Sciences, Baldwin Wallace University, Berea, OH.
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Yan J, Ren Q, Lin H, Liu Q, Fu J, Sun C, Li W, Ma F, Zhu Y, Li Z, Zhang G, Du Y, Liu H, Zhang X, Chen Y, Wang G, Huang G. Association between Dietary Patterns and the Risk of Depressive Symptoms in the Older Adults in Rural China. Nutrients 2022; 14:nu14173538. [PMID: 36079798 PMCID: PMC9460296 DOI: 10.3390/nu14173538] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Revised: 08/21/2022] [Accepted: 08/25/2022] [Indexed: 11/29/2022] Open
Abstract
Geriatric depression, a chronic condition, has become a substantial burden in rural China. This study aimed to assess the association between dietary patterns and the risk of geriatric depression in rural China. Between March 2018 and June 2019, 3304 participants were recruited for this cross-sectional study in rural Tianjin, China. Principal component analysis was used to determine the major dietary patterns. The associations between dietary patterns and the risk of geriatric depression were assessed using a logistic regression model. Four dietary patterns were identified: vegetables-fruit, animal food, processed food, and milk-egg. The study found that vegetable-fruit (Q2 vs. Q1: OR = 0.62, 95% CI: 0.46–0.83; Q3 vs. Q1: OR = 0.54, 95% CI: 0.38–0.75; Q4 vs. Q1: OR = 0.39, 95% CI: 0.26–0.57) and animal food patterns (Q3 vs. Q1: OR = 0.69, 95% CI: 0.50–0.95; Q4 vs. Q1: OR = 0.58, 95% CI: 0.41–0.82) were associated with a decreased risk of depression, and inflammatory dietary pattern (Q2 vs. Q1: OR = 1.71, 95% CI: 1.23–2.38; Q3 vs. Q1: OR = 1.70, 95% CI: 1.22–2.36; Q4 vs. Q1: OR = 1.44, 95% CI: 1.03–2.03) was associated with an increased risk of depression. The present findings reinforce the importance of adopting an adequate diet consisting of vegetables, fruit and animal foods, while limiting the intake of pro-inflammatory foods, to decrease the risk of depression.
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Affiliation(s)
- Jing Yan
- Department of Nutrition and Food Science, School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
- Department of Social Medicine and Health Administration, School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
| | - Qinghan Ren
- Department of Nutrition and Food Science, School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
| | - Hongyan Lin
- Department of Nutrition and Food Science, School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
| | - Qian Liu
- Department of Nutrition and Food Science, School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
| | - Jingzhu Fu
- Department of Nutrition and Food Science, School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
| | - Changqing Sun
- Neurosurgical Department, Baodi Clinical College, Tianjin Medical University, 8 Guangchuan Road, Baodi District, Tianjin 301899, China
| | - Wen Li
- Department of Nutrition and Food Science, School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
| | - Fei Ma
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
| | - Yun Zhu
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
| | - Zhenshu Li
- Department of Nutrition and Food Science, School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
| | - Guoquan Zhang
- Department of Nutrition and Food Science, School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
| | - Yue Du
- Department of Social Medicine and Health Administration, School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
| | - Huan Liu
- Department of Nutrition and Food Science, School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
| | - Xumei Zhang
- Department of Nutrition and Food Science, School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
| | - Yongjie Chen
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
| | - Guangshun Wang
- Department of Tumour, Baodi Clinical College, Tianjin Medical University, 8 Guangchuan Road, Baodi District, Tianjin 301899, China
| | - Guowei Huang
- Department of Nutrition and Food Science, School of Public Health, Tianjin Medical University, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, 22 Qixiangtai Road, Heping District, Tianjin 300070, China
- Correspondence: ; Tel.: +86-22-8333-6603; Fax: +86-22-8333-6603
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11
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Chegini M, Shirani P, Omidvar N, Eini-Zinab H, Pour-Ebrahim F, Rezazadeh A. Relationship between diet quality and depression among Iranian older adults in Tehran. BMC Geriatr 2022; 22:708. [PMID: 36028815 PMCID: PMC9419352 DOI: 10.1186/s12877-022-03380-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2022] [Accepted: 08/12/2022] [Indexed: 11/26/2022] Open
Abstract
Background Depression is one of the prevalent mental disorders that is common in older ages. Evidence suggests that dietary intake status may potentially be associated with depression. However, this association has not been well studied in older adults, and the nature of the association remains unclear. This study aimed to investigate the association between diet quality and depression in free-living older adults living in Tehran city. Methods This cross-sectional study was conducted on 583 older adults (279 men and 304 women) aged 60 to 80 years living in Tehran city, selected by the systematic cluster sampling method. Individuals' dietary intake was determined by two non-consecutive 24-h dietary recalls, and diet quality was assessed calculating score of Healthy Eating Index-2015 (HEI-2015). The validated short form of the Geriatric Depression Scale (GDS-11) was used to assess depression status. A logistic regression model was used to assess the chance of depression across tertiles of HEI-2015 score. Results The point prevalence of depression was 22.5%, which was significantly higher in women (91 (69.5%) women vs. 40 (30.5%) men). A higher percentage of seniors at the higher tertile of HEI score were women, belonged to Fars ethnicity and had a higher score of activity of daily living (ADL). After adjustment for all potential confounders, the trend of depression chance was significantly decreased in those with higher HEI-2015 scores (p-for trend < 0.05). Conclusion Higher quality of diet was associated with a lower possibility of depression in the studied participants. Further studies are required to investigate the possible causal relationship. Supplementary Information The online version contains supplementary material available at 10.1186/s12877-022-03380-1.
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Affiliation(s)
- Maedeh Chegini
- Department of Community Nutrition, National Nutrition and Food Technology Research Institute, School of Nutrition and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Pedram Shirani
- Department of Community Nutrition, National Nutrition and Food Technology Research Institute, School of Nutrition and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Nasrin Omidvar
- Department of Community Nutrition, National Nutrition and Food Technology Research Institute, School of Nutrition and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Hassan Eini-Zinab
- Department of Community Nutrition, National Nutrition and Food Technology Research Institute, School of Nutrition and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fatemeh Pour-Ebrahim
- Department of Community Nutrition, National Nutrition and Food Technology Research Institute, School of Nutrition and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Arezoo Rezazadeh
- Department of Community Nutrition, National Nutrition and Food Technology Research Institute, School of Nutrition and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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12
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Li H, Liu X, Zheng Q, Zeng S, Luo X. Gender differences and determinants of late-life depression in China: A cross-sectional study based on CHARLS. J Affect Disord 2022; 309:178-185. [PMID: 35472476 DOI: 10.1016/j.jad.2022.04.059] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 01/06/2022] [Accepted: 04/10/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND Literature related to within-gender differences in depression among older individuals in China is sparse, and often limited to specific provinces. METHODS We analyzed data on 8104 participants from the fourth waves of the China Health and Retirement Longitudinal Study (CHARLS). Using logistic regressions, we identified the correlates of depressive symptoms among older individuals, both in the aggregate and along gender lines. Additionally, we examined the interaction between other covariates and gender. RESULTS The prevalence of late-life depression symptoms among females was 45.79%, which was higher than among males (31.13%, P < 0.01). Living in a rural area, earned income, education level, tobacco use and number of chronic diseases were correlated with depression in both genders (P < 0.05), with no interaction (Pint > 0.050). Social activities were correlated with depression in males but not in females (Pint = 0.373), inverse in their 70s (Pint = 0.020) group. The correlation between daily sleep duration and depression is stronger in females than in males (Pint ≤ 0.020). Female who drunk <1 per month decreased their prevalence of depression, but it increased in males (Pint = 0.001). Taking part in LTPA and being a religious believer were correlated with depression in females (P < 0.05), but not in males (P(LTPA)int = 0.009; P(religious believers)int = 0.033). LIMITATIONS Since only analyzed one wave of data, we could not conclude that there was causation. CONCLUSIONS Geriatric depression is a serious mental health issue in China. There is, an urgent need for prevention and intervention activities for older individuals, and these needs diverge along gender lines.
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Affiliation(s)
- Huijun Li
- School of Public Health, Lanzhou University, Lanzhou, China
| | - Xiaoling Liu
- School of Public Health, Lanzhou University, Lanzhou, China
| | - Qingyong Zheng
- School of Nursing, Evidence-based Nursing Center, Lanzhou University, Lanzhou, China
| | - Siyuan Zeng
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, China
| | - Xiaofeng Luo
- School of Public Health, Lanzhou University, Lanzhou, China.
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13
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Serrano D, Martí-Lluch R, Cárdenas M, Solanas P, Marrugat J, Vilalta-Franch J, Garre-Olmo J. Gender analysis of the frequency and course of depressive disorders and relationship with personality traits in general population: A prospective cohort study. J Affect Disord 2022; 302:241-248. [PMID: 35085673 DOI: 10.1016/j.jad.2022.01.088] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 01/17/2022] [Accepted: 01/22/2022] [Indexed: 10/19/2022]
Abstract
BACKGROUND We aimed to determine the prevalence and course of subthreshold depressive symptomatology (sDS) and probable major depressive episode (MDE) and to examine their association with personality traits among men and women. METHODS A community-based sample aged 35 years or older was examined in two waves (median follow-up of 6.9 years). The Patient Health Questionnaire-9 (PHQ-9) was used to assess sDS and MDE. The 10-item version of the Big Five Inventory was used to assess personality traits. Prevalence was assessed at baseline (n = 5,557) and incidence and persistence-recurrence rates were computed at follow up (n = 3,102). Logistic regression models were adjusted to explore the association of personality traits with prevalence and course of depressive disorders. RESULTS The prevalence of sDS and MDE was 14.04% (95% CI = 17.04-19.08) and 8.54 (95% CI=7.82-9.31), the incidence was 14.30 per 1,000 person-years (95% CI=12.49-16.31) and 4.34 per 1,000 person-years (95% CI=3.46-5.36), and the persistence-recurrence was 35.04 per 1,000 person-years (95% CI=29.00-41.96) and 28.8 per 1,000 person-years (95% CI=20.49-38.14). The gender gap was higher for MDE. Personality traits were differentially associated with the prevalence and course of depressive disorders between men and women. LIMITATIONS Because this study used questionnaires to assess depressive disorders and personality traits, information bias could not be ruled out. CONCLUSIONS The gender gap was higher for the prevalence and course of the probable MDE. There were more personality traits related with the course of the sDS and they had a major role in the course of the probable MDE in women.
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Affiliation(s)
- Domènec Serrano
- Girona Biomedical Research Institute (IDIBGI), Spain; Institut d'Assistència Sanitària, Spain; Department of Medical Sciences, School of Medicine, University of Girona, Spain
| | - Ruth Martí-Lluch
- Girona Biomedical Research Institute (IDIBGI), Spain; Vascular Health Research Group (ISV-Girona), Foundation University Institute for Primary Health Care Research Jordi Gol i Gurina, Spain
| | - Mérida Cárdenas
- Cardiology Service, Hospital Dr. Josep Trueta, Girona, Spain
| | - Pascual Solanas
- Department of Medical Sciences, School of Medicine, University of Girona, Spain; Vascular Health Research Group (ISV-Girona), Foundation University Institute for Primary Health Care Research Jordi Gol i Gurina, Spain
| | - Jaume Marrugat
- IMIM - Institut Hospital del Mar d'Investigacions Mèdiques, Barcelona, Spain; CIBERCV de investigación en Enfermedades Cardiovasculares
| | | | - Josep Garre-Olmo
- Girona Biomedical Research Institute (IDIBGI), Spain; Serra Húnter Professor, Department of Nursing, University of Girona, Spain.
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14
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The Influence of Disease Status on Loneliness of the Elderly: Evidence from Rural China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19053023. [PMID: 35270713 PMCID: PMC8910326 DOI: 10.3390/ijerph19053023] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Revised: 03/01/2022] [Accepted: 03/02/2022] [Indexed: 11/17/2022]
Abstract
At present, the dual pressure of rural labor outflow and population aging in China makes the problems of the rural elderly population increasingly prominent, and its health problem is particularly prominent. Based on the 2014 China elderly population health survey data (CLHLS), this paper finds that the physical health status of the rural elderly has a significant positive impact on their loneliness; that is, the rural elderly with poor health status are more likely to feel lonely. At the same time, the age of the elderly has a significant positive impact on their loneliness. On the contrary, gender, personality, family income and intergenerational support of the elderly have a negative impact on their loneliness. Chronic diseases such as hypertension and diabetes have no significant effect on the loneliness of the elderly in rural areas, but there is a “severe disease effect”; that is, when chronic diseases develop into serious diseases or acute serious diseases, it can negatively impact the elderly psychologically and produce or deepen their sense of loneliness. Based on the above conclusions, this paper further puts forward relevant policy suggestions from three aspects: constructing a disease prevention and control system for the rural elderly, improving the care and service system for the rural elderly, reshaping rural filial piety culture, and creating a good atmosphere of “respecting, loving and respecting parents” in rural areas.
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15
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Lin H, Xiao S, Shi L, Zheng X, Xue Y, Yun Q, Ouyang P, Wang D, Zhu H, Zhang C. Impact of Multimorbidity on Symptoms of Depression, Anxiety, and Stress in Older Adults: Is There a Sex Difference? Front Psychol 2022; 12:762310. [PMID: 34992564 PMCID: PMC8724032 DOI: 10.3389/fpsyg.2021.762310] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 11/22/2021] [Indexed: 12/25/2022] Open
Abstract
Introduction: Multimorbidity has become a key issue in the health care sector globally, and it can also lead to psychological distress in older adults. This study aimed to assess the impact of multimorbidity on depression, anxiety, and stress symptoms and identify whether there is a sex difference in these associations. Methods: A cross-sectional study using a multistage random sampling method was conducted among 3,266 older adults in China. Multiple linear regression models were used to estimate the independent associations between multimorbidity and depression, anxiety, and stress symptoms. Furthermore, interaction analysis was employed to investigate the interaction effect of multimorbidity and sex on depression, anxiety, and stress symptoms. Results: A total of 3,250 participants aged 60 years and older were included in this study. Our findings suggest that multimorbidity is strongly positively associated with depression, anxiety, and stress symptoms. In addition, the positive relations between multimorbidity and depression, anxiety, and stress symptoms are stronger for older female than male adults. Conclusion: Old adults with multimorbidity are more likely have depression, anxiety, and stress symptoms. This study offers new insight for the mental health from the perspective of multimorbidity among older people, implies that encouraging the accessibility of treatment for multimorbidity in older people with different sex may be effective in promoting mental health in China.
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Affiliation(s)
- Huang Lin
- Shool of Public Health, Southern Medical University, Guangzhou, China.,School of Health Management, Southern Medical University, Guangzhou, China.,The First School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Shujuan Xiao
- School of Health Management, Southern Medical University, Guangzhou, China
| | - Lei Shi
- School of Health Management, Southern Medical University, Guangzhou, China
| | - Xiao Zheng
- School of Health Management, Southern Medical University, Guangzhou, China
| | - Yaqing Xue
- School of Health Management, Southern Medical University, Guangzhou, China
| | - Qilong Yun
- Tandon School of Engineering, New York University, New York, NY, United States
| | - Ping Ouyang
- Department of Health Management, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Dong Wang
- School of Health Management, Southern Medical University, Guangzhou, China
| | - Hong Zhu
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Chichen Zhang
- School of Health Management, Southern Medical University, Guangzhou, China.,Department of Health Management, Nanfang Hospital, Southern Medical University, Guangzhou, China.,Institute of Health Management, Southern Medical University, Guangzhou, China
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16
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He L, Wang J, Wang F, Zhang L, Liu Y, Xu F. Depression symptoms and quality of life in empty-nest elderly among Chengdu: A cross-sectional study. Front Psychiatry 2022; 13:1003261. [PMID: 36424995 PMCID: PMC9679215 DOI: 10.3389/fpsyt.2022.1003261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Accepted: 10/21/2022] [Indexed: 11/10/2022] Open
Abstract
OBJECTIVES To estimate the prevalence of depression symptoms and quality of life (QoL) and examined the influence of factors in the empty nest elderly. METHODS This was a cross-sectional study, which was conducted from February 2022 to May 2022. We recruited a convenience sample of no empty-nest elderly and empty-nest elderly (≥60 years) living in Chengdu. QoL was assessed using WHOQOL-BREF, Geriatric Depression Scale (GDS-15) was used to assess depression symptoms. Multivariable logistic regression was used to analyze data between independent variables with depression symptoms. RESULTS Two thousand twenty-six participants were included in this study, 39.0% (660/1,082) experienced depression symptoms among empty-nest elderly. Age (aOR, 1.02; 95% CI, 1.00-1.04; P = 0.046), chronic disease≥2 (aOR, 3.29; 95% CI, 2.50-4.33; P < 0.001) were associated with increased risk of depression symptoms, and physical activity (aOR, 0.59; 95% CI, 0.40-0.87; P = 0.008), physical health (aOR, 0.93; 95% CI, 0.88-0.99; P = 0.026), psychological health (aOR, 0.93; 95% CI, 0.87-0.98; P = 0.013), and total score (aOR, 0.97; 95% CI, 0.96-0.99; P < 0.001) were associated with decreased risk of depression symptoms among empty-nest elderly. CONCLUSIONS Depression symptoms are common mental health problems among empty-nest elderly. We found that age, chronic disease ≥2 and physical activity were important factors that have an impact on depressive symptoms. Empty-nest elderly would have lowered QoL score.
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Affiliation(s)
- Lanying He
- Department of Neurology, The Second People's Hospital of Chengdu, Chengdu, China
| | - Jian Wang
- Department of Neurology, The Second People's Hospital of Chengdu, Chengdu, China
| | - Feng Wang
- Department of Neurology, The Second People's Hospital of Chengdu, Chengdu, China
| | - Lili Zhang
- Department of Neurology, The Second People's Hospital of Chengdu, Chengdu, China
| | - Yinglin Liu
- Department of Neurology, The Second People's Hospital of Chengdu, Chengdu, China
| | - Fan Xu
- Department of Public Health, Chengdu Medical College, Chengdu, China
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17
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Wu D, Liu F, Huang S. Assessment of the relationship between living alone and the risk of depression based on longitudinal studies: A systematic review and meta-analysis. Front Psychiatry 2022; 13:954857. [PMID: 36111305 PMCID: PMC9468273 DOI: 10.3389/fpsyt.2022.954857] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 08/11/2022] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Living alone is one of the most common psychosocial factors that may have an impact on lifestyle management and health status. Although many previous cross-sectional studies have found that living alone increases the risk of depression. However, this risk has rarely been assessed on the basis of longitudinal studies. Therefore, we will explore this relationship on the basis of longitudinal studies. METHODS We systematically searched Pubmed, Embase, and Cochrane databases up to May 2022. Adjusted odds ratios (ORs), and 95% confidence intervals (CIs) were pooled by a random-effects model using an inverse variance method. RESULTS Seven studies (six cohort studies and one case-control study) were included in our study. A total of 123,859 without a history of psychosis individuals were included, and the proportion of females was 65.3%. We applied a random-effects model to minimize the heterogeneity. Overall, the pooled data suggest that people living alone are associated with an increased risk of depression compared to those who do not live alone (OR 1.42, 95%CI 1.19-1.70). CONCLUSION Compared to people who live with others, living alone increases the risk of depression. Only cross-sectional studies and a few longitudinal studies currently support this association; more high-quality studies will be required in the future to confirm this causal association.
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Affiliation(s)
- Daolin Wu
- Department of Sleep Medicine, Ganzhou People's Hospital, Ganzhou, China
| | - Fuwei Liu
- Department of Cardiology, Ganzhou People's Hospital, Ganzhou, China
| | - Shan Huang
- Department of Psychiatry, The Third People's Hospital of Ganzhou, Ganzhou, China
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18
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Pei Z, Hu F, Qin W, Zhao Y, Zhang X, Cong X, Liu C, Xu L. The relationship between living arrangements and depression among older adults in Shandong, China: The mediating role of social support. Front Psychiatry 2022; 13:896938. [PMID: 36451767 PMCID: PMC9701745 DOI: 10.3389/fpsyt.2022.896938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 10/25/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND Living arrangements and social support have an impact on depression among older adults. However, the underlying mechanism between those variables remains unknown. This study aims to investigate the mediating role of social support in the relationship between living arrangements and depression among older adults. MATERIALS AND METHODS Multi-stage stratified sampling method was used to select 3,859 older adults from Taian City, Shandong Province, China, for cross-sectional investigation. Living arrangements were measured by a question. Social support and depression were measured using the Multidimensional Scale of Perceived Social Support and Patient Health Questionnaire-9. Multiple linear regression models were used to assess the relationship between living arrangements and depression and the possible influence of social support on the relationship between living arrangements and depression. RESULTS Statistics showed that 15.08% of older adults lived alone. After controlling for covariates, living arrangements (ß = 0.45, t = 2.87, P < 0.01) and social support (ß =-0.08, t =-16.93, P < 0.001) were significantly associated with depression. The linear regression model showed that social support mediated the relationship between living arrangements and depression, and the mediating effect accounted for 18.20% of the total effect. CONCLUSION This study revealed that living arrangements played an essential role in indirectly predicting depression in older adults through social support. This provided evidence for how to reduce depression in older adults.
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Affiliation(s)
- Zhongfei Pei
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.,National Health Commission Key Laboratory of Health Economics and Policy Research, Cheeloo College of Medicine, Shandong University, Jinan, China.,Center for Health Economics Experiment and Public Policy Research, Shandong University, Jinan, China
| | - Fangfang Hu
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.,National Health Commission Key Laboratory of Health Economics and Policy Research, Cheeloo College of Medicine, Shandong University, Jinan, China.,Center for Health Economics Experiment and Public Policy Research, Shandong University, Jinan, China
| | - Wenzhe Qin
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.,National Health Commission Key Laboratory of Health Economics and Policy Research, Cheeloo College of Medicine, Shandong University, Jinan, China.,Center for Health Economics Experiment and Public Policy Research, Shandong University, Jinan, China
| | - Yan Zhao
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.,National Health Commission Key Laboratory of Health Economics and Policy Research, Cheeloo College of Medicine, Shandong University, Jinan, China.,Center for Health Economics Experiment and Public Policy Research, Shandong University, Jinan, China
| | - Xiaohong Zhang
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.,National Health Commission Key Laboratory of Health Economics and Policy Research, Cheeloo College of Medicine, Shandong University, Jinan, China.,Center for Health Economics Experiment and Public Policy Research, Shandong University, Jinan, China
| | - Xinxia Cong
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.,National Health Commission Key Laboratory of Health Economics and Policy Research, Cheeloo College of Medicine, Shandong University, Jinan, China.,Center for Health Economics Experiment and Public Policy Research, Shandong University, Jinan, China
| | - Chuanli Liu
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.,National Health Commission Key Laboratory of Health Economics and Policy Research, Cheeloo College of Medicine, Shandong University, Jinan, China.,Center for Health Economics Experiment and Public Policy Research, Shandong University, Jinan, China
| | - Lingzhong Xu
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.,National Health Commission Key Laboratory of Health Economics and Policy Research, Cheeloo College of Medicine, Shandong University, Jinan, China.,Center for Health Economics Experiment and Public Policy Research, Shandong University, Jinan, China
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Xin Y, Ren X. The Impact of Family Income on Body Mass Index and Self-Rated Health of Illiterate and Non-illiterate Rural Elderly in China: Evidence From a Fixed Effect Approach. Front Public Health 2021; 9:722629. [PMID: 34604161 PMCID: PMC8484635 DOI: 10.3389/fpubh.2021.722629] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 08/23/2021] [Indexed: 11/23/2022] Open
Abstract
Background: Rural communities worldwide are experiencing the most significant levels of aging. Most rural elderly have no stable pension, and leading family income plays an indispensable role in the life security of rural elderly. This study aims to investigate whether the association between annual family income per capita and body mass index (BMI) and self-rated health (SRH) in rural elderly is moderated by education during fast economic development. Methods: We chose the fixed-effects model to analyze the impact of the annual family income per capita change on BMI and SRH based on a large, nationally representative longitudinal dataset of rural respondents aged above 60 of the China Family Panel Studies (CFPS) from 2010 to 2018. Results: Six hundred and fifty-eight were eligible for inclusion in our analysis in CFPS. The median age of participants was 65 years in 2010, and 379 (57.60%) participants were male. Self-rated health increased with higher the logarithmized family income per capita among the rural illiterate elderly (β = 0.0770; 95% CI = 0.0065–0.1473). Body mass index increased with higher the logarithmized family income per capita among the rural elderly (β = 0.1614, 95% CI: 0.0325–0.2903), and it was more evident among the illiterate elderly (β = 0.2462, 95% CI: 0.05519–0.4372). Conclusion: Family income has an impact on BMI and SRH moderated by education level among rural elderly in China. These results contribute to developing more targeted strategies in the context of a developing country. In addition, it also reminds us to consider the differences in the educational level of the elderly in rural areas when examining the relationship between family income and health.
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Affiliation(s)
- Yu Xin
- Department of Health Behavioral and Social Medicine, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Xiaohui Ren
- Department of Health Behavioral and Social Medicine, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
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20
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Community Environment Perception on Depression: The Mediating Role of Subjective Social Class. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18158083. [PMID: 34360377 PMCID: PMC8345754 DOI: 10.3390/ijerph18158083] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 07/10/2021] [Accepted: 07/26/2021] [Indexed: 11/25/2022]
Abstract
Depression has become a major social issue of global concern, which has seriously threatened the quality of an individual’s life. Although the relationship between community environment and depression has aroused heated debate, the empirical research on the relationship between community environment perception and public depression is still relatively insufficient. Data for this study are from China Family Panel Studies in 2016, which were conducted by the institute of Social Science Survey, Peking University. This paper has tested group differences in the influence of community environment on public depression, as well as the mediating role of subjective social class between community environment perception and depression, so as to further explore the social psychological effect of community environment. The empirical study found that there are group differences in the impacts of community environment perception on depression. Specifically, men, rural residents, and people aged 60 and under are more likely to be depressed which were affected by the perception of community environment. Furthermore, we have found that the subjective social class can partly mediate community environment perception and depression. That is to say, the perception of community environment can induce depression by influencing the individual’s subjective social class. Among them, community living environment and community public facilities have the greatest impact, community emotional attachment and community security situation have the second impact, and neighborhood mutual aid and neighborhood relationship have the least impact. In other words, the community environment is deeply endowed with a social psychological effect. To ameliorate the public’s depression, it is necessary to consider the construction of community physical environment and the cultivation of harmonious community culture as powerful measures not to be ignored. In short, the important role of community environmental intervention in alleviating the public’s depression caused by social class cognition deserves attention.
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21
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Xiao S, Lin H, Zhao C, Zheng X, Shi L, Zhang J, Xue B, Chang J, Chen J, Zhang C. Impact of Different Type and Frequency of Social Participation on Depressive Symptoms Among Older Chinese Adults: Is There a Gender Difference? Front Psychiatry 2021; 12:758105. [PMID: 34658980 PMCID: PMC8515849 DOI: 10.3389/fpsyt.2021.758105] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 09/13/2021] [Indexed: 12/03/2022] Open
Abstract
Objectives: Social participation may prevent depressive symptoms in older adults. But research to date ignores gender differences in the associations between social participation and depressive symptoms. The purpose of this study was to determine the effect of different type and frequency of social participation on depressive symptoms, as well as if there is a gender difference in these correlations among older Chinese adults. Methods: Data was obtained from adults aged 60 years or above in the 2018 China Health and Retirement Longitudinal Survey, a nationally representative sample of older adults in China. Depressive symptoms were measured using CESD-10. Social participation included participation in social groups, hobby groups, sports groups, and community-related organizations. The independent relationships between each type of social participation and depressive symptoms were assessed using multiple linear regression models. Results: A total of 6,287 older adults were included in this analysis, of whom 49.69% were women. Participating in social groups, sports groups, and community-related organizations with a frequency of one or more per week was all linked to better mental health. Furthermore, our findings suggest that the positive relationship between participation in social groups, hobby groups, and community-related organizations and depressive symptoms is more flexible for older men than for women. Conclusions: Older individuals who participate in social participation at a high frequency may have better mental health. The findings provide novel insights into mental health from the standpoint of social participation in older adults. Gender differences in the associations between social participation and depressive symptoms need to be considered when formulating interventions to prevent depression.
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Affiliation(s)
- Shujuan Xiao
- School of Health Management, Southern Medical University, Guangzhou, China
| | - Huang Lin
- School of Health Management, Southern Medical University, Guangzhou, China
| | - Chongbang Zhao
- Department of Psychiatry, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Xiao Zheng
- School of Health Management, Southern Medical University, Guangzhou, China
| | - Lei Shi
- School of Health Management, Southern Medical University, Guangzhou, China
| | - Jiachi Zhang
- School of Health Management, Southern Medical University, Guangzhou, China
| | - Benli Xue
- School of Health Management, Southern Medical University, Guangzhou, China
| | - Jinghui Chang
- School of Health Management, Southern Medical University, Guangzhou, China
| | - Jiangyun Chen
- School of Health Management, Southern Medical University, Guangzhou, China
| | - Chichen Zhang
- School of Health Management, Southern Medical University, Guangzhou, China.,Department of Health Management, Nanfang Hospital, Southern Medical University, Guangzhou, China.,Institute of Health Management, Southern Medical University, Guangzhou, China
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