scholarly journals The prevalence of depressive symptoms among older patients with hypertension in rural China

2016 ◽  
Vol 32 (12) ◽  
pp. 1411-1417 ◽  
Author(s):  
Jiang Xue ◽  
Shulin Chen ◽  
Hillary R. Bogner ◽  
Wan Tang ◽  
Lydia Li ◽  
...  
2012 ◽  
Vol 24 (8) ◽  
pp. 1226-1234 ◽  
Author(s):  
Yanhong Gong ◽  
Xiaopiao Wen ◽  
Chaoping Guan ◽  
Zhiqing Wang ◽  
Yuan Liang

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.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S880-S880
Author(s):  
Zhiyong Lin

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.


Author(s):  
Lu Niu ◽  
Cunxian Jia ◽  
Zhenyu Ma ◽  
Guojun Wang ◽  
Bin Sun ◽  
...  

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.


2020 ◽  
Author(s):  
Jian Rong ◽  
Yanhong Ge ◽  
Xueqin Wang ◽  
Guimei Chen ◽  
Hong Ding

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.


2010 ◽  
Vol 18 (9) ◽  
pp. 853-857 ◽  
Author(s):  
John Kasckow ◽  
Ian Fellows ◽  
Shahrokh Golshan ◽  
Ellen Solorzano ◽  
Thomas Meeks ◽  
...  

Assessment ◽  
2018 ◽  
Vol 27 (7) ◽  
pp. 1383-1398 ◽  
Author(s):  
Rebecca M. Saracino ◽  
Heining Cham ◽  
Barry Rosenfeld ◽  
Christian J. Nelson

The aging of America will include a significant increase in the number of older patients with cancer, many of whom will experience significant depressive symptoms. Although geriatric depression is a well-studied construct, its symptom presentation in the context of cancer is less clear. Latent profile analysis was conducted on depressive symptoms in younger (40-64 years) and older (≥65 years) patients with cancer ( N = 636). The sample was clinically heterogeneous (i.e., included all stages, dominated by advanced stage disease). Participants completed questionnaires including the Center for Epidemiological Studies Depression Scale, which was used for the latent profile analysis. A four-class pattern was supported for each age group. However, the four-class pattern was significantly different between the younger and older groups in terms of the item means within each corresponding latent class; differences were primarily driven by severity such that across classes, older adults endorsed milder symptoms. An unexpected measurement issue was uncovered regarding reverse-coded items, suggesting that they may generate unreliable scores on the Center for Epidemiological Studies Depression Scale for a significant subset of patients. The results indicate that cancer clinicians can expect to see depressive symptoms along a continuum of severity for patients of any age, with less severe symptoms among older patients.


2020 ◽  
Vol 137 ◽  
pp. 110195
Author(s):  
Lucienne A. Reichardt ◽  
Floor E. Nederveen ◽  
Rosanne van Seben ◽  
Jesse J. Aarden ◽  
Marike van der Schaaf ◽  
...  

2016 ◽  
Vol 29 (7) ◽  
pp. 1182-1213 ◽  
Author(s):  
Qian Song

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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