The Interactive Effect of Social Capital and Duration of Migration on Suicidal Behaviors Among Rural-to-Urban Migrants in China: Evidence from a GIS/GPS-Assisted Probability Sample

Author(s):  
Bin Yu ◽  
Xinguang Chen ◽  
Linda Cottler ◽  
Catherine Striley ◽  
Regina Bussing ◽  
...  
2020 ◽  
Author(s):  
Bin Yu ◽  
Xinguang Chen

Abstract Background There is a lack of solid data on suicide among rural-to-urban migrants in China, a large and rapid growing population currently totaling 280 million. The study aims to investigate whether suicidal behaviors are more prevalent among the rural migrants than the non-migrant rural and urban residents. Methods Data from a probability sample (N=3951, 32.65% rural-to-urban migrants) were analyzed. The sample was selected in Wuhan, China using the GIS/GPS-assisted multistage probability sampling method. Suicidal ideation and attempt in the past year were measured. Prevalence rate [95% CI] was calculated using survey estimation method, considering the sampling design with sample clusters, disproportionate probabilities, and weights. Adjusted odds ratio (AOR) [95% CI] was used to compare the difference of rural migrants with rural and urban residents in suicidal behaviors controlling for covariates. Results Among rural migrants, 5.74% [4.81, 6.68] reported having suicidal ideation, compared to 4.74% [3.07, 6.42] and 3.65% [2.64, 4.65] for rural and urban residents, respectively. The migrant-urban resident difference was significant with AOR =1.93 [1.26, 2.94] while the migrant-rural resident difference was not with AOR= 0.87 [0.46, 1.67]. The prevalence rate of suicidal attempt was 5.47% [4.57, 6.36] for rural migrants, significantly higher than 1.14% [0.43, 1.85] for rural residents with AOR=2.89 [1.12, 7.43]; and 2.01% [1.21, 2.82] for urban residents with AOR =3.97 [2.15, 7.34]. Conclusions Rural migrants are at higher risks for suicide comparing to rural and urban residents. Additional research is needed to examine factors related to the increased risk of suicidal behaviors among rural migrants in China.


2018 ◽  
Vol 63 (1) ◽  
pp. 100-112 ◽  
Author(s):  
Kleio Koutra ◽  
Ann W Roy ◽  
Efrosini D Kokaliari

This cross-sectional study examines the effects of social capital on non-suicidal self-injury and self-injurious behaviors among 632 Greek college students during the current economic crisis. This is a quantitative study which uses a set of normed instruments to measure non-suicidal self-injury and suicidal behaviors. After controlling for a set of demographic variables, and negative affective states, social capital was not found to have an effect on non-suicidal self-injury or suicidal behaviors ( p > .05). Results suggest that negative affective states such as depression and stress are important factors in the likelihood that students will engage in non-suicidal self-injury and suicidal behaviors. Implications for social work practice and education are discussed.


2021 ◽  
Author(s):  
Zhongliang Bai ◽  
Zijing Wang ◽  
Tiantai Shao ◽  
Xia Qin ◽  
Zhi Hu

Abstract Background: We aimed to examine the association between social capital and loneliness in Anhui Province, China. Methods: Data were collected from a cross-sectional study using a multi-stage stratified cluster sampling strategy. Data on demographic characteristics, socioeconomic factors, social capital, and loneliness in 1810 older adults (aged 60 years and older) were used for analysis. Binary logistic regression models and a classification and regression tree model were performed to assess the association of social capital and loneliness. Results: Our results indicated that social capital in terms of lower level of social participation (AOR = 1.38; 95% CI: 1.10-1.74), social connection (AOR = 1.51; 95% CI: 1.18-1.93), and reciprocity (AOR = 1.47; 95% CI: 1.13-1.90) were associated with higher odds of developing loneliness. We noted the interactive effect of different social capital dimensions on loneliness, suggesting that the risk for suffering loneliness was greatest in older people limited in functional ability, with less trust, less social connection, and less social participation. Conclusions: Our findings show that social capital is associated with loneliness in older adults. This implies that social capital, especially in terms of trust, social connection, and social participation may be significant for alleviating loneliness in later life.


2019 ◽  
Vol 25 (4) ◽  
pp. 446-456
Author(s):  
Chengbo Zeng ◽  
Xiaoming Li ◽  
Xueying Yang ◽  
Hongfei Du ◽  
Danhua Lin

2019 ◽  
Vol 24 (13) ◽  
pp. 1909-1919 ◽  
Author(s):  
Sung Man Bae

This study examined the interactive effects of strain induced by individual and social stress and social capital on suicide, highlighting depressive symptoms as mediator in these relationships. This study used data from 5000 adolescents aged 14–18 years. Strain due to individual stress was found to have a direct effect on suicide, but strain due to social stress did not have a direct effect on suicide. The interactive effect of strain and social capital significantly predicted depressive symptoms and suicide. In the relationship between strain and suicide, the interactive effect of strain and social capital was mediated by depressive symptoms.


2020 ◽  
Author(s):  
Zhongliang Bai ◽  
Zijing Wang ◽  
Tiantai Shao ◽  
Xia Qin ◽  
Zhi Hu

Abstract Background: We aimed to examine the association between social capital and loneliness in Anhui Province, China. Methods: Data were collected from a cross-sectional study using a multi-stage stratified cluster sampling strategy. Data on demographic characteristics, socioeconomic factors, social capital, and loneliness in 1810 older adults (aged 60 years and older) were used for analysis. Binary logistic regression models and a classification and regression tree model were performed to assess the association of social capital and loneliness. Results: Our results indicated that social capital in terms of lower level of social participation (AOR = 1.38; 95% CI: 1.10-1.74), social connection (AOR = 1.51; 95% CI: 1.18-1.93), and reciprocity (AOR = 1.47; 95% CI: 1.13-1.90) were associated with higher odds of developing loneliness. We noted the interactive effect of different social capital dimensions on loneliness, suggesting that the risk for suffering loneliness was greatest in older people limited in functional ability, with less trust, less social connection, and less social participation. Conclusions: Our findings show that social capital is associated with loneliness in older adults. This implies that social capital, especially in terms of trust, social connection, and social participation may be significant for alleviating loneliness in later life.


2011 ◽  
Vol 7 (3) ◽  
pp. 275-293 ◽  
Author(s):  
Kuang-Chi Chang ◽  
Ming Wen ◽  
Guixin Wang

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