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Yu L, Chen C. Symptom patterns of comorbid depression and anxiety among older adults in China and their predictors. Psych J 2024; 13:494-511. [PMID: 38268089 PMCID: PMC11169763 DOI: 10.1002/pchj.729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Accepted: 12/08/2023] [Indexed: 01/26/2024]
Abstract
Comorbid depression and anxiety causes serious psychological and physiological damage for older people. This study aimed to identify heterogeneous classes of comorbid depression and anxiety (CDA) among older people in China and to ascertain predictors of latent class membership. Cross-sectional data of 10,919 cases were extracted from the Chinese Longitudinal Healthy Longevity Survey. Latent profile analysis (LPA) was used to identify symptom patterns of comorbid depression (measured by the 10-item Center for Epidemiologic Studies Depression Scale) and anxiety (measured by the Generalized Anxiety Disorder 7-item Scale). Multinomial logistic regressions following bivariate analyses were used to explore the relationship between the derived classes and individual- and social-level factors. Four patterns of CDA were identified: low symptoms of depression and anxiety (30.52%; n = 3333), mild depression only (53.26%; n = 5815), moderate depression and anxiety (13.82%; n = 1509), and severe depression and anxiety (2.40%; n = 262). Older people who are male, suffer from multimorbidity, and lack a healthy lifestyle are more likely to have problematic symptom profiles. While intimate relationships with partners and children significantly predicted CDA patterns, the effects of sibling relationships, daily life, and emotional support from the community were insignificant. LPA identified four distinct CDA patterns among a representative sample of older Chinese people. While restless sleep, lack of positive emotions, uselessness, and weak concentration are salient across all profiles, "difficult to relax" is prominent in profiles high in anxiety. In addition to individual-level variables, social-level factors, especially intimate relationships with partners and children rather than general links to siblings or the community, have unneglectable impacts on whether and to what extent older Chinese adults suffer from CDA in the cultural context of relationism, patriarchy, and filial piety.
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Affiliation(s)
- Lingling Yu
- Department of Philosophy and ScienceSoutheast University at NanjingNanjingChina
| | - Chuqian Chen
- Department of Medical HumanitiesSoutheast University at NanjingNanjingChina
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Zhu L, Wang Y, Li J, Zhou H, Li N, Wang Y. Depressive symptoms and all-cause mortality among middle-aged and older people in China and associations with chronic diseases. Front Public Health 2024; 12:1381273. [PMID: 38841667 PMCID: PMC11151855 DOI: 10.3389/fpubh.2024.1381273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Accepted: 05/02/2024] [Indexed: 06/07/2024] Open
Abstract
Introduction It remains unclear whether depressive symptoms are associated with increased all-cause mortality and to what extent depressive symptoms are associated with chronic disease and all-cause mortality. The study aims to explore the relationship between depressive symptoms and all-cause mortality, and how depressive symptoms may, in turn, affect all-cause mortality among Chinese middle-aged and older people through chronic diseases. Methods Data were collected from the China Health and Retirement Longitudinal Study (CHARLS). This cohort study involved 13,855 individuals from Wave 1 (2011) to Wave 6 (2020) of the CHARLS, which is a nationally representative survey that collects information from Chinese residents ages 45 and older to explore intrinsic mechanisms between depressive symptoms and all-cause mortality. The Center for Epidemiological Studies Depression Scale (CES-D-10) was validated through the CHARLS. Covariates included socioeconomic variables, living habits, and self-reported history of chronic diseases. Kaplan-Meier curves depicted mortality rates by depressive symptom levels, with Cox proportional hazards regression models estimating the hazard ratios (HRs) of all-cause mortality. Results Out of the total 13,855 participants included, the median (Q1, Q3) age was 58.00 (51.00, 63.00) years. Adjusted for all covariates, middle-aged and older adults with depressive symptoms had a higher all-cause mortality rate (HR = 1.20 [95% CI, 1.09-1.33]). An increased rate was observed for 55-64 years old (HR = 1.23 [95% CI, 1.03-1.47]) and more than 65 years old (HR = 1.32 [95% CI, 1.18-1.49]), agricultural Hukou (HR = 1.44, [95% CI, 1.30-1.59]), and nonagricultural workload (HR = 1.81 [95% CI, 1.61-2.03]). Depressive symptoms increased the risks of all-cause mortality among patients with hypertension (HR = 1.19 [95% CI, 1.00-1.40]), diabetes (HR = 1.41[95% CI, 1.02-1.95]), and arthritis (HR = 1.29 [95% CI, 1.09-1.51]). Conclusion Depressive symptoms raise all-cause mortality risk, particularly in those aged 55 and above, rural household registration (agricultural Hukou), nonagricultural workers, and middle-aged and older people with hypertension, diabetes, and arthritis. Our findings through the longitudinal data collected in this study offer valuable insights for interventions targeting depression, such as early detection, integrated chronic disease care management, and healthy lifestyles; and community support for depressive symptoms may help to reduce mortality in middle-aged and older people.
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Affiliation(s)
- Lan Zhu
- School of Education and Psychology, Key Research Institute of Humanities and Social Sciences of State Ethnic Affairs Commission, and Research Centre of Sichuan Minzu Education Development, Southwest Minzu University, Chengdu, China
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yixi Wang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jiaqi Li
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, China; School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Huan Zhou
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Ningxiu Li
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yuanyuan Wang
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, China; School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
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Moreno X, Monsalves MJ, Rueda S, Dagnino P, Borghero F. Gender differences in life expectancy free of depressive symptoms in Chile between 2003 and 2016. Glob Ment Health (Camb) 2024; 11:e16. [PMID: 38390246 PMCID: PMC10882180 DOI: 10.1017/gmh.2024.9] [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: 08/12/2023] [Revised: 11/26/2023] [Accepted: 01/18/2024] [Indexed: 02/24/2024] Open
Abstract
The aim of the study was to analyze gender differences in life expectancy free of depressive symptoms among the adult population in Chile between 2003 and 2016. The Sullivan method was used to estimate the total and marginal life expectancy, based on prevalence data from the National Health Survey (2003, 2010 and 2016), and abridged life tables for the Chilean population. There was a compression of morbidity among middle-aged men during the first period and among younger and older women during the last one. Men at all ages could expect to live a higher proportion of their lives without depressive symptoms during the whole period. The gender gap in the proportion of life expectancy free of depressive symptoms reached 10 percent points or more, considering almost all ages and periods. Unemployment and lower education increased the probability of depressive symptoms, and these effects were more marked among women. Public policies should have a gender-sensitive approach to address the gap in depression and the disadvantage experienced by women in life expectancy free of depressive symptoms, considering those dimensions that intersect with gender, such as access to education, employment or income.
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Affiliation(s)
- Ximena Moreno
- Facultad de Psicología y Humanidades, Universidad San Sebastián, Santiago, Chile
| | | | - Sarahí Rueda
- Millennium Institute for Care Research (MICARE), Santiago, Chile
| | - Paula Dagnino
- Facultad de Psicología y Humanidades, Universidad San Sebastián, Santiago, Chile
- Millennium Institute for the Study of Personality and Depression (MIDAP), Santiago, Chile
| | - Francesca Borghero
- Núcleo Milenio para Mejorar la Salud Mental de Adolescentes y Jóvenes (IMHAY), Santiago, Chile
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Du Y, Luo Y, Ren Z, Zheng X, Liu J. Impact of adverse childhood experiences on life expectancy with depression in the U.K. population: The mitigating role of educational attainment. CHILD ABUSE & NEGLECT 2023; 144:106383. [PMID: 37541093 DOI: 10.1016/j.chiabu.2023.106383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 07/21/2023] [Accepted: 07/25/2023] [Indexed: 08/06/2023]
Abstract
BACKGROUND Adverse childhood experiences (ACEs) are associated with depression in later life. OBJECTIVE This study aimed to measure the impact of ACEs on life expectancy with depression (DLE) and to assess how educational attainment affected expectations. PARTICIPANTS AND SETTING The study used data on 5597 participants from the English Longitudinal Study of Aging (2006-2013). METHODS Depression was assessed through the eight-item short version of the Centre for Epidemiologic Studies Depression. We used discrete-multistate life table models to estimate total life expectancy and life expectancy with depression. RESULTS Older adults with ACEs had longer DLE and a higher proportion of remaining life with depression compared with those without ACEs. For example, men aged 60 years with ACEs could expect to live 5.2 (95 % confidence interval (CI): 4.2, 6.2) years with depression compared with 2.8 (95 % CI: 2.3, 3.3) years for men without ACEs. Women aged 60 years who reported ACEs could expect to live 9.4 (95 % CI: 7.6, 11.1) years with depression compared with 6.0 (95 % CI: 5.1, 7.0) years for women without ACEs. With a high level of educational attainment, older adults from younger cohorts with ACEs lived fewer depression years and spent a higher proportion of their life being free of depression than adults with ACEs and had a low level of educational attainment. CONCLUSION Our results indicated that ACEs may increase years of life with depression among U.K. adults. Meanwhile, high educational attainment could mitigate the mental health burden associated with ACEs.
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Affiliation(s)
- Yushan Du
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Yanan Luo
- Department of Global Health, School of Public Health, Peking University, Beijing, China
| | - Ziyang Ren
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Xiaoying Zheng
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences/Peking Union Medical College, Beijing, China
| | - Jufen Liu
- Institute of Reproductive and Child Health/National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China; Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
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Chen S, Wang Y. Temporal trend and subgroup disparities in the prevalence and treatment of those who screen positive for depression in China: A population-based study. Front Psychiatry 2023; 14:1063328. [PMID: 36860501 PMCID: PMC9968729 DOI: 10.3389/fpsyt.2023.1063328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 01/31/2023] [Indexed: 02/15/2023] Open
Abstract
Background In China, improving mental health has been far behind its accomplishments for other diseases. With depression as one of the most prevalent mental disorders, the aim of this study was to evaluate temporal trends in the prevalence and treatment of those who screen positive for depression in China, by age, gender, and province. Methods We used data from three nationally representative sample surveys: the China Health and Retirement Longitudinal Study (CHARLS), the China Family Panel Studies (CFPS), and the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Depression was judged by the Centre for Epidemiologic Studies Depression Scale. Access to treatment was judged by two items: if respondents received any treatment like anti-depressants, or if respondents received counselling from a mental health professional. Survey-specific weighted regressions were fitted to estimate the temporal trend and subgroup disparities, and then pooled by meta-analysis. Results In total 168,887 respondents were investigated. The overall prevalence of China populations who screen positive for depression was 25.7% (95% CI 25.2-26.2) during 2016-2018, decreased from 32.2% (95% CI 31.6-32.8) during 2011-2012. The gender gap increased with age and had no significant improvement from 2011-2012 to 2016-2018. The prevalence of depression in developed areas is more likely to show a lower value and decreasing trend, while the prevalence in underdeveloped areas is more likely to show a higher value and increasing trend, from 2011-2012 to 2016-2018. The overall proportion of those who received any needed treatment or counselling from a mental health professional slightly increased from 2011 (0.5%, 95% CI 0.4-0.7) to 2018 (0.9%, 95% CI 0.7-1.2), and mainly occurred for older adults aged 75 and above. Conclusion The prevalence of those who screen positive for depression decreased by about 6.5% from 2011-2012 to 2016-2018 in China, but only tiny improvements were made in accessibility to mental health care. Corresponding disparities were identified in age, gender, and province.
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Affiliation(s)
- Shanquan Chen
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Yuqi Wang
- Department of Computer Science, University College London, London, United Kingdom
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Chen S, Wang Y, She R. Prevalence and gender disparity of those who screen positive for depression in China by the classification of the employer and industry: a cross-sectional, population-based study. BMC Psychiatry 2023; 23:62. [PMID: 36694143 PMCID: PMC9872324 DOI: 10.1186/s12888-023-04557-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 01/18/2023] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND The important role of mental health in sustainable economic development is gradually being recognized. This study aimed to evaluate the prevalence and gender disparity of those who screen positive for depression in China by the employer and industrial classification. METHODS We used data from a nationally representative survey, the China Family Panel Studies. Depression was judged by the Centre for Epidemiologic Studies Depression Scale. Employer classifications were categorized according to the local characteristics of Mainland China. Industrial classifications were defined using level-1 of the China version of the International Standard Industrial Classification of All Economic Activities. Weighted logistic regressions were fitted to estimate the gender disparities, controlling for confounders. RESULTS Forty eight thousand six hundred twenty eight adults were included. 18.7% (95%CI 18.1-19.4) of sampled adults were screened positive for depression symptoms, with 16.6% (95%CI 15.8-17.5) in males vs 21.0% (95%CI 20.1-22.0) in females. By classification of the employer, the prevalence was lowest among those employed by Government/party organisations (11.8%, 95%CI 8.9-15.4), and highest in those self-employed (21.8%, 95%CI 20.8-22.9); the gender disparity was mainly found in those employed by Sole proprietorship (Adjusted odds ratio [AOR] = 1.95, 95%CI 1.19-3.19) and Private enterprise (AOR = 1.34, 95%CI 1.13-1.59), as well as those self-employed (AOR = 1.49, 95%CI 1.3-1.17). By industrial classification, the prevalence was lowest among those who worked in the industry of Real estate (7.2%, 95%CI 4.8-10.6), and highest among those who worked in the industry of Agriculture, forestry, animal husbandry and fishing (22.9%, 95%CI 15.5-32.4); the gender disparity was mainly found in those who worked in the industry of Agriculture, forestry, animal husbandry and fishing (AOR = 3.29, 95%CI 1.18-9.15), Manufacturing (AOR = 1.41, 95% CI 1.09-1.82), Wholesale and retail trade (AOR = 1.48, 95% CI 1.07-2.06), and Accommodation and food service (AOR = 1.91, 95% CI 1.15-3.18). CONCLUSION The prevalence of depression in China had a wide variation by classifications of the employer and industry. Gender disparities were identified among workers from Sole proprietorship, Private enterprise, and self-employed, or workers from the industry of Agriculture, forestry, animal husbandry and fishing, Manufacturing, Wholesale and retail trade, and Accommodation and food service.
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Affiliation(s)
- Shanquan Chen
- Department of Psychiatry, University of Cambridge, Cambridge, CB2 0SZ, UK.
| | - Yuqi Wang
- grid.83440.3b0000000121901201Department of Computer Science, University College London, London, WC1E 6BT UK
| | - Rui She
- grid.16890.360000 0004 1764 6123Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, China
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