Grandparent–Grandchild Family Capital and Depressive Symptoms of Older Adults in Rural China: A Two-Wave Cross-Lagged Panel Analysis

ABSTRACTBackground: The aim of the current study was to investigate the associations between family characteristics and depressive symptoms, and provide new evidence and recommendations for prevention and intervention in the depressive symptoms of older adults.Methods: The study was a cross-sectional survey conducted door-to-door, utilizing a sample of 1,317 individuals aged 60 years and above in rural China. The five family characteristic variables recorded were: living with spouse, living with descendant, support of family members, self-reported family economic status in the previous year, and family-related negative life events that occurred anytime in the past with a continuous psychological effect during the past 12 months. Gender, age, years of schooling, and self-rated physical health status were taken as potential confounders. Univariable and multivariable logistic regression models were used to examine independent effects on depressive symptoms.Results: In addition to the potential confounders, only family-related negative life events, support of family members, and self-reported family economic status had significant effects on depressive symptoms in older adults. Experiencing a family-related negative life event was the most significant variable (OR = 11.70, 95% CI: 7.72–17.73), the second was support of family members (OR = 6.93, 95% CI: 3.26–14.70), while family economic status was less important than support of family members (OR = 2.38, 95% CI: 1.08–5.25).Conclusion: This study, from the perspective of family characteristics on depressive symptoms in older adults, showed a strong correlation between being exposed to harmful family environments and depressive symptoms among the elderly. Efforts to address family risk factors and strengthen family cohesiveness deserve a higher priority, given the importance of these factors, compared with other efforts such as promoting economic development.

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SEPARATED KIN: RURAL-URBAN MIGRATION AND MENTAL HEALTH TRAJECTORIES OF OLDER ADULTS LEFT BEHIND IN RURAL CHINA

Innovation in Aging ◽

10.1093/geroni/igz038.3223 ◽

2019 ◽

Vol 3 (Supplement_1) ◽

pp. S880-S880

Author(s):

Zhiyong Lin

Keyword(s):

Mental Health ◽

Older Adults ◽

Depressive Symptoms ◽

Rural China ◽

Well Being ◽

Migrant Children ◽

Urban Migration ◽

Left Behind ◽

Rate Of Increase ◽

The Impact

Abstract As the processes of urbanization and globalization have intensified across the world, a burgeoning literature has documented the impact of emigration on the health of family members left behind in emigrant communities. Although the association between children’s migration and parental well-being is well documented, few have examined the health implications of children’s migration in the milieu of multiple children and further differentiated between children’s short-term and long-term migration. Therefore, I argue that it is not the geographic locality of a single child but the composition of all children’s location that matters. I further suggest that the impact of children’s migration on parental wellbeing is conditioned on the duration of children’s migration. Using a six waves longitudinal data (2001-2015) collected in rural China, this paper compares mental health (measured as depressive symptoms) trajectories of old adults (aged 60 and older) across different compositions of local and migrant children over a 14-year span. Results from growth curve models show that parents having more migrant children relative to local children experience a more rapid increase in depressive symptoms. In addition, older adults who have their most children migrate away for three or more waves of data have experienced the steepest rate of increase in depressive symptoms. These findings provide new evidence to support the life course processes of mental health disparities among older adults from the perspective of intergenerational proximity.

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Loneliness, hopelessness and suicide in later life: a case–control psychological autopsy study in rural China

Epidemiology and Psychiatric Sciences ◽

10.1017/s2045796020000335 ◽

2020 ◽

Vol 29 ◽

Cited By ~ 2

Author(s):

Lu Niu ◽

Cunxian Jia ◽

Zhenyu Ma ◽

Guojun Wang ◽

Bin Sun ◽

...

Keyword(s):

Social Support ◽

Older Adults ◽

Logistic Regression ◽

Depressive Symptoms ◽

Rural China ◽

Case Control ◽

Living Alone ◽

Psychological Autopsy ◽

Tree Model ◽

Elderly Suicide

Abstract Aims Loneliness is increasingly recognised as a serious public health issue worldwide. However, there is scarce research addressing the association between loneliness and suicide in older adults in rural China. We set out to examine loneliness and other psychosocial factors in elderly suicide cases and explore their interaction effects. Methods Using a 1 : 1 matched case–control design, data were collected from 242 elderly suicide cases and 242 living community controls by psychological autopsy method in rural China, including demographic characteristics, loneliness, depression, hopelessness and social support. The chi-square automatic interaction detection (CHAID) tree model and multivariable logistic regression analysis were used to explore the relationships of these factors and suicide. Results The CHAID tree model showed that loneliness, hopelessness and depressive symptoms were closely associated with completed suicide and that loneliness and hopelessness interacted with each other. The result of multivariable logistic regression showed that individuals who were unemployed [odds ratio (OR) = 2.344; 95% confidence interval (CI): 1.233–4.457], living alone (OR = 2.176; 95% CI: 1.113–4.254), had lower levels of subjective social support (OR = 2.185; 95% CI: 1.243–3.843), experienced depressive symptoms (OR = 6.700; 95% CI: 3.405–13.182), showed higher levels of hopelessness (OR = 7.253; 95% CI: 3.764–13.974) and felt higher levels of hopelessness × higher levels of loneliness (OR = 2.446; 95% CI: 1.089–5.492) were significantly associated with an elevated suicide risk in older people in rural China. Conclusions Regular evaluation of loneliness, hopelessness and depression can help detect older adults who are at risk of committing suicide. Interventions should target social support systems, particularly among people living alone, to alleviate feelings of loneliness and hopelessness. Treating depression is also key to preventing suicide among elderly people in rural China.

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Association between functional disability and depressive symptoms among older adults in rural China: a cross-sectional study

10.21203/rs.3.rs-37157/v2 ◽

2020 ◽

Author(s):

Jian Rong ◽

Yanhong Ge ◽

Xueqin Wang ◽

Guimei Chen ◽

Hong Ding

Keyword(s):

Older Adults ◽

Depressive Symptoms ◽

Functional Disability ◽

Rural China ◽

Depression Scale ◽

Classification And Regression Tree ◽

Survey Study ◽

Psychological State ◽

Binary Logistic Regression Analysis ◽

Cross Sectional

Abstract Background: The association between functional disability and depressive symptoms among elderly people in rural China is not clear. This study explored the relationship between functional disability and depressive symptoms, focusing on whether an interactive association between functional disability, demographic characteristics and depressive symptoms exists among older adults in rural Anhui, China.Methods: A cross-sectional survey study was conducted with multi-stage stratified random sampling. The 30-item Geriatric Depression Scale and WHO Disability Assessment Schedule 2.0 were used to evaluate depressive symptoms and functional disability, respectively. The data were analyzed using SPSS statistics 25.0 program with chi-square test, Mann-Whitney U test, binary logistic regression analysis, and classification and regression tree model.Results: The prevalence of depressive symptoms in 3336 older people was 52.94%. After adjustment, subjects who had problems in participation (adjusted odds ratio [AOR]=3.499, 95% confidence interval [CI]: 2.385-4.987), life activities (AOR=1.683, 95% CI: 1.370-2.066), getting along (AOR=1.616, 95% CI: 1.299-2.010), and mobility (AOR=1.842, 95% CI: 1.503-2.258) had an increased depressive symptoms risk. However, cognition (AOR=0.785, 95% CI: 0.647-0.953) negatively correlated with depressive symptoms. Additionally, the interactive association between functional disability dimensions, various variables and depressive symptoms were identified for the first time. Those who had problems in mobility, getting along and were unemployed, the possibility of having depressive symptoms was the highest.Conclusions: Special attention should be paid to unemployed older adults, and those with problems in participation, life activities, getting along, and mobility and no problems in cognition to maintain a good psychological state. Our findings may be greatly significant for developing more targeted and effective mental health prevention and intervention measures for older adults in rural areas.

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Facing “Double Jeopardy”? Depressive Symptoms in Left-Behind Elderly in Rural China

Journal of Aging and Health ◽

10.1177/0898264316659964 ◽

2016 ◽

Vol 29 (7) ◽

pp. 1182-1213 ◽

Cited By ~ 16

Author(s):

Qian Song

Keyword(s):

Older Adults ◽

Depressive Symptoms ◽

Living Arrangements ◽

Rural China ◽

Migrant Children ◽

Left Behind ◽

Multi Level ◽

Traditional Patterns ◽

Poverty Levels

Objective: When examining the depressive symptoms of left-behind elderly, this article goes beyond a focus on disruption to traditional patterns of living arrangements and investigates the heterogeneities in the patterns of migration distance, as well as the role of community contexts in buffering the loss of migrant children’s support. Method: This study uses the first wave of the China Health and Retirement Longitudinal Survey, and employs random effects multi-level modeling. Results: Having migrant children is associated with increased depressive symptoms among older adults, above and beyond living arrangements. Having their migrant children all live outside the province further puts older adults in disadvantaged mental conditions. This disadvantage can be further compounded by residence in impoverished communities. Discussion: In assessing depression among rural older adults in China, examination of living arrangements may be insufficient. It may be necessary to reference to children’s migration status as well as community poverty levels.

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Family capital and the self-rated health of older adults in rural China : an intergenerational perspective

10.5353/th_b5089984 ◽

2013 ◽

Author(s):

Nan Lü

Keyword(s):

Older Adults ◽

Rural China ◽

The Self ◽

Self Rated Health ◽

Family Capital

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The relationship between depressive symptoms and walking among Hispanic older adults: A longitudinal, cross-lagged panel analysis

Aging & Mental Health ◽

10.1080/13607860903191374 ◽

2010 ◽

Vol 14 (2) ◽

pp. 211-219 ◽

Cited By ~ 16

Author(s):

Tatiana Perrino ◽

Craig A. Mason ◽

Scott C. Brown ◽

José Szapocznik

Keyword(s):

Older Adults ◽

Depressive Symptoms ◽

Panel Analysis ◽

The Relationship

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The Mediating Role of Depressive Symptoms, Hopelessness, and Perceived Burden on the Association Between Pain Intensity and Late-Life Suicide in Rural China: A Case–Control Psychological Autopsy Study

Frontiers in Psychiatry ◽

10.3389/fpsyt.2021.779178 ◽

2021 ◽

Vol 12 ◽

Author(s):

Jiali Wang ◽

Jiahuan Xu ◽

Zhenyu Ma ◽

Cunxian Jia ◽

Guojun Wang ◽

...

Keyword(s):

Older Adults ◽

Logistic Regression ◽

Depressive Symptoms ◽

Pain Intensity ◽

Suicide Risk ◽

Rural China ◽

Case Control ◽

Psychological Autopsy ◽

Perceived Burden ◽

The Impact

Background: Few studies have investigated the roles of psychosocial factors such as depressive symptoms and hopelessness on the relationship between pain and suicide with inconsistent results. The study aimed to analyze the impact of pain intensity on suicide death and to estimate the degree to which depressive symptoms, hopelessness, and perceived burden may explain the association in Chinese rural elderly.Methods: Using a 1:1 matched case–control design, we collected data from 242 elderly suicide cases and 242 living community controls by psychological autopsy method in rural China, including sociodemographic characteristics, pain intensity, depression, hopelessness, perceived burden, physical diseases, and social support. Conditional logistic regression was employed to assess the association between pain intensity and completed suicide. Mediation analysis using the KHB method was applied to explore the mediation effects from depressive symptoms, hopelessness, and perceived burden.Results: The result of multivariable logistic regression showed that unemployment [odds ratio (OR) = 5.06, 95% confidence interval (CI): 1.76–14.49], higher levels of hopelessness (OR = 7.72, 95% CI: 3.49–17.10), depressive symptom (OR = 15.82, 95% CI: 4.53–55.25), and severe pain (OR = 3.46, 95% CI: 1.31–9.13) were significantly associated with elevated suicide risk in older adults in rural China. Depressive symptoms, hopelessness, and perceived burden significantly mediated 43.71% of the pain–suicide association (p = 0.020), with 17.39% due to depressive symptoms, 17.63% due to hopelessness, and 8.69% due to perceived burden.Conclusions: Regular screening of pain, depressive symptoms, hopelessness, and perceived burden using simple but sensitive questions or scales for older adults with pain is vital for the prevention and early detection of suicide risk in Chinese rural areas. Moreover, the importance of pain management and psychological interventions targeted on depressive symptoms and hopelessness should be emphasized.

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Association Between Functional Disability and Depressive Symptoms Among Older Adults in Rural China: A Cross-Sectional Study

10.21203/rs.3.rs-37157/v1 ◽

2020 ◽

Author(s):

Jian Rong ◽

Yanhong Ge ◽

Xueqin Wang ◽

Guimei Chen ◽

Hong Ding

Keyword(s):

Older Adults ◽

Depressive Symptoms ◽

Functional Disability ◽

Rural China ◽

Depression Scale ◽

Classification And Regression Tree ◽

Survey Study ◽

Psychological State ◽

Binary Logistic Regression Analysis ◽

Cross Sectional

Abstract Background: The association between functional disability and depressive symptoms among elderly people in rural China is not clear. This study explored the relationship between functional disability and depressive symptoms, focusing on whether an interactive association between functional disability, demographic characteristics and depressive symptoms exists among older adults in rural Anhui, China.Methods: A cross-sectional survey study was conducted with multi-stage stratified random sampling. The 30-item Geriatric Depression Scale and WHO Disability Assessment Schedule 2.0 were used to evaluate depressive symptoms and functional disability, respectively. The data were analyzed using SPSS statistics 25.0 program with chi-square test, Mann-Whitney U test, binary logistic regression analysis, and classification and regression tree model.Results: The prevalence of depressive symptoms in 3336 older people was 52.94%. After adjustment, subjects who had problems in participation (adjusted odds ratio [AOR]=3.499, 95% confidence interval [CI]:2.385-4.987), life activities (AOR=1.683, 95% CI: 1.370-2.066), getting along (AOR=1.616, 95% CI: 1.299-2.010), and mobility (AOR=1.842, 95% CI: 1.503-2.258) had an increased depressive symptoms risk. However, cognition (AOR=0.785, 95% CI: 0.647-0.953) negatively correlated with depressive symptoms. Additionally, the interactive association between functional disability dimensions, various variables and depressive symptoms were identified for the first time. Those who had problems in mobility, getting along and were unemployed, the possibility of having depressive symptoms was the highest.Conclusions: Special attention should be paid to unemployed older adults, and those with problems in participation, life activities, getting along, and mobility and no problems in cognition to maintain a good psychological state. Our findings may be greatly significant for developing more targeted and effective mental health prevention and intervention measures for older adults in rural areas.

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Social capital, perceived neighborhood environment, and depressive symptoms among older adults in rural China: the role of self-rated health

International Psychogeriatrics ◽

10.1017/s1041610221000958 ◽

2021 ◽

pp. 1-11

Author(s):

Nan Lu ◽

Bei Wu ◽

Yaolin Pei ◽

Changmin Peng

Keyword(s):

Older Adults ◽

Social Capital ◽

Depressive Symptoms ◽

Rural China ◽

Neighborhood Environment ◽

Equation Modeling ◽

Self Rated Health ◽

Cognitive Social Capital ◽

Structural Social Capital ◽

Perceived Neighborhood Environment

ABSTRACT Objectives: This study examined the relationships between social capital, perceived neighborhood environment, and depressive symptoms among older adults living in rural China, and the moderating effect of self-rated health (SRH) in these relationships. Participants: A quota sampling method was applied to recruit 447 participants aged 60 years and older in rural communities in Jilin province, China in 2019. Measurements: Depressive symptoms were measured by the Center for Epidemiologic Studies Depression Scale. Structural equation modeling was used to build latent constructs of social capital and test the proposed model. Multiple group analysis was used to test the moderation effects. Results: Cognitive social capital and structural social capital were both associated with depressive symptoms controlling for participants’ demographics, socioeconomic status, and health status. After adding perceived environment variables in the model, the relationship between cognitive social capital and depressive symptoms became nonsignificant, while structural social capital remained became a significant factor (β = −.168, p < .01). Satisfaction with health care was significantly associated with depressive symptoms among those with poor SRH (β = −.272, p < .01), whereas satisfaction with security and transportation were strongly associated with depressive symptoms among those with good SRH (security: β = −.148, p < .01; transportation: β = −.174, p < .01). Conclusions: Study findings highlighted the importance of social capital and neighborhood environment as potential protective factors of depressive symptoms in later life. Policy and intervention implications were also discussed.

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