scholarly journals Culture-related grief beliefs and social support influence depressive symptoms of Shidu parents in rural China

2021 ◽  
Vol 12 (1) ◽  
pp. 1945748
Author(s):  
Shuang Zhao ◽  
Meijun Long ◽  
Yucong Diao ◽  
Hongfei Ma ◽  
Minghui Liu ◽  
...  
Keyword(s):  
Social Support ◽  
Depressive Symptoms ◽  
Rural China ◽  
Shidu Parents

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

2020 ◽  
Vol 29 ◽  
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.

scholarly journals Social Network Types and Health among Older Adults in Rural China: The Mediating Role of Social Support

2019 ◽  
Vol 16 (3) ◽  
pp. 410 ◽  
Author(s):  
Liping Ye ◽  
Xinping Zhang
Keyword(s):  
Social Support ◽  
Older Adults ◽  
Social Network ◽  
Depressive Symptoms ◽  
Rural China ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Mediating Role ◽  
Self Rated Health

This study aimed to identify social network types among older adults in rural China, to explore the relationship between social network types and the health of the older adults, and further, to examine the mediating role of social support in this relationship. A cross-sectional survey method was employed to investigate the health of adults aged 60 or older in rural areas of Hubei Province from 5 September 2018 to 15 October 2018; 405 samples were obtained. First, using k-means clustering analysis, we found five robust network types: diverse, restricted, family, friends and a specific type—family-restricted. Second, the results of multiple linear regression analysis showed that social network types were significantly associated with depressive symptoms and self-rated health in older adults. Older people with diverse friend networks were significantly associated with lower levels of depressive symptoms, whereas those with restricted and family-restricted networks were significantly associated with higher levels of depressive symptoms and lower levels of self-rated health. Finally, the results of multiple linear regression analysis confirmed that social support partially mediated the association of the identified social network types with depressive symptoms and self-rated health. Enriching the social network relationships of older adults and providing them with more social support should be conducive to promoting their mental and physical health.

Association of severity of depressive symptoms with sleep quality, social support and stress among Pakistani medical and dental students: A cross-sectional study

2019 ◽  
Vol 2 (2) ◽  
pp. 211-220
Author(s):  
Ahmed Waqas ◽  
Aqsa Iftikhar ◽  
Zahra Malik ◽  
Kapil Kiran Aedma ◽  
Hafsa Meraj ◽  
...  
Keyword(s):  
Social Support ◽  
Depressive Symptoms ◽  
Medical Students ◽  
Sleep Quality ◽  
Severe Depression ◽  
Dental Students ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Medical And Dental Students

AbstractObjectivesThis study has been designed to elucidate the prevalence of stress, depression and poor sleep among medical students in a Pakistani medical school. There is a paucity of data on social support among medical students in Pakistan; an important predictor of depressive symptoms. Therefore, this study was also aimed to demonstrate the direct and indirect impact of social support in alleviating depressive symptoms in the study sample.MethodsThis observational cross-sectional study was conducted in Lahore, Pakistan, where a total of 400 students at a medical school were approached between 1st January to 31st March 2018 to participate in the study. The study sample comprised of medical and dental students enrolled at a privately financed Pakistani medical and dental school. The participants responded to a self-administered survey comprising of five parts: a) demographics, b) Pittsburgh Sleep Quality Index (PSQI), c) Patient Health Questionnaire-9 (PHQ-9), d) Multidimensional Scale of Perceived Social Support (MSPSS) and e) Perceived Stress Scale-4 (PSS-4). All data were analysed using SPSS v. 20. Linear regression analysis was used to reveal the predictors of depression.ResultsIn total, 353 medical students participated, yielding a response rate of 88.25%. Overall, poor sleep quality was experienced by 205 (58.1%) students. Mild to severe depression was reported by 83% of the respondents: mild depression by 104 (29.5%), moderate depression by 104 (29.5%), moderately severe depression by 54 (15.3%) and severe depression by 31 (8.8%) respondents. Subjective sleep quality, sleep latency, daytime dysfunction and stress levels were significantly associated with depression symptoms. Social support was not significantly associated with depressive symptoms in the regression model (Beta = -0.08, P < 0.09); however, it acted as a significant mediator, reducing the strength of the relationship between depressive symptoms and sleep quality and stress.ConclusionsAccording to our study, a large proportion of healthcare (medical and dental) students were found to be suffering from mild to moderate depression and experienced poor sleep quality. It is concluded that social support is an important variable in predicting depressive symptomatology by ameliorating the effects of poor sleep quality and high stress levels.

scholarly journals Does Social Support Affect the Health of the Elderly in Rural China? A Meta-Analysis Approach

2019 ◽  
Vol 16 (18) ◽  
pp. 3471 ◽  
Author(s):  
Natuya Zhuori ◽  
Yu Cai ◽  
Yan Yan ◽  
Yu Cui ◽  
Minjuan Zhao
Keyword(s):  
Social Support ◽  
Rural Areas ◽  
Rural China ◽  
Statistical Significance ◽  
Empirical Studies ◽  
Relevant Literature ◽  
The Elderly ◽  
Significant Difference ◽  
Meta Regression ◽  
The Impact

As the trend of aging in rural China has intensified, research on the factors affecting the health of the elderly in rural areas has become a hot issue. However, the conclusions of existing studies are inconsistent and even contradictory, making it difficult to form constructive policies with practical value. To explore the reasons for the inconsistent conclusions drawn by relevant research, in this paper we constructed a meta-regression database based on 65 pieces of relevant literature published in the past 25 years. For more valid samples to reduce publication bias, we also set the statistical significance of social support to the health of the elderly in rural areas as a dependent variable. Finally, combined with multi-dimensional social support and its implications for the health of the elderly, meta-regression analysis was carried out on the results of 171 empirical studies. The results show that (1) subjective support rather than objective support can have a significant impact on the health of the elderly in rural areas, and there is no significant difference between other dimensions of social support and objective support; (2) the health status of the elderly in rural areas in samples involving western regions is more sensitive to social support than that in samples not involving the western regions; (3) among the elderly in rural areas, social support for the older male elderly is more likely to improve their health than that for the younger female elderly; and (4) besides this, both data sources and econometric models greatly affect the heterogeneity of the effect of social support on the health of the elderly in rural areas, but neither the published year nor the journal is significant. Finally, relevant policies and follow-up studies on the impact of social support on the health of the elderly in rural areas are discussed.

scholarly journals Intergenerational Relationships, Social Support, and Psychological Well-Being Among Korean Older Adults

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 498-498
Author(s):  
Yooumi Lee ◽  
Janet Wilmoth
Keyword(s):  
Social Support ◽  
Older Adults ◽  
Depressive Symptoms ◽  
Living Arrangements ◽  
Linear Models ◽  
Depression Scale ◽  
Adult Child ◽  
Intergenerational Relationships ◽  
Well Being ◽  
Psychological Well Being

Abstract This study investigates whether intergenerational relationships and social support improve the psychological well-being of Korean older adults. We examine whether intergenerational relationships and social support directly influence psychological well-being and the extent to which they mediate the distressing consequences of life events such as declining health and recent widowhood. Using longitudinal data from the 2006 to 2016 Korean Longitudinal Study of Aging, we explore depression trajectories among individuals who are 60 or older with at least one living adult child at baseline. Specifically, we converted data from 5,383 older adults into a person-period file with 24,726 observations over a ten-year period. Then we estimated linear growth curve models of depression trajectories separately for men and women using the Center for Epidemiologic Studies Depression Scale (CES-D). Results from the hierarchical linear models indicate that declining health and recent widowhood are positively related to depressive symptoms. Satisfactory intergenerational relationships and social support in the form of personal interactions and proximate living arrangements with adult children decrease depressive symptoms of older parents, especially among women. We conclude that the psychological benefits of intergenerational relationships and social support are contingent upon the vulnerability of older adults and discuss the implications for public policy.

scholarly journals Long-Term Effects of Abuse in Later Life Perpetrated by Family Members

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 444-445
Author(s):  
Naomi Meinertz ◽  
Pi-Ju Liu ◽  
Ron Acierno
Keyword(s):  
Social Support ◽  
Depressive Symptoms ◽  
Family Member ◽  
Older Adult ◽  
Family Members ◽  
Later Life ◽  
Adult Health ◽  
Long Term Effects ◽  
Long Term Impact

Abstract Abuse in later life could potentially lead to lower levels of social support, especially when perpetrated by family members who are charged with protecting the older adult in their care. Using both waves of the National Elder Mistreatment longitudinal data (wave one collected in 2008 and wave two in 2015; N=774), long-term effects of abuse (i.e., physical, emotional, sexual, and financial) on levels of social support, physical health, and clinical depressive symptoms for respondents at or above the age of 60 years were analyzed. A multivariate analysis of variance showed that respondents abused at wave one (n=261) by a family member (B=-0.55, p≤0.001), a spouse or ex-partner (B=-0.349, p=0.02), or a non-relative or stranger (B=-0.301, p=0.026) had lower levels of social support eight years later at wave two. Those abused by a family member at wave one also experienced higher levels of depressive symptoms at wave two (B=-0.187, p=0.01). Perpetrator type did not predict general health at wave two. These results emphasize the long-term impact of abuse on the lives of older adults and highlight the importance trusted relationships, such as with family members, have on older adult health and wellbeing.

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