Background: Mental health problems are common among older people living with HIV and associated with poorer health outcomes. Social capital is an important determinant of mental health problems but under-studied in this population. This study investigated the association between social capital and mental health problems among older people living with HIV in China. Methods: The study was based on the baseline data of a cohort study investigating mental health among older people living with HIV in Sichuan, China during November 2018 to February 2019. Participants were people living with HIV aged ≥50 years living in Sichuan province. Stratified multi-stage cluster sampling was used to recruit participants from 30 communities/towns; 529 out of 556 participants being approached completed the face-to-face interview. Social capital was measured by two validated health-related social capital scales: the Individual and Family scale and the Community and Society scale. Presence of probable depression (CES-D-10 score ≥ 10) and probable anxiety (GAD-7 score ≥ 5) were used as dependent variables. Two-level logistic regression models were applied to examine the association between social capital and probable depression/anxiety. Results: The prevalence of probable depression and probable anxiety was 25.9% (137/529) and 36.3% (192/529), respectively. After adjusting for significant covariates, the individual/family level of social capital was inversely associated with both probable depression (odds ratios (OR): 0.89, 95% CI: 0.84-0.93, p < 0.001) and probable anxiety (OR: 0.90, 95% CI: 0.86-0.95, p < 0.001). The community/society level social capital was associated with probable depression (OR: 0.91, 95% CI: 0.84-0.99, p < 0.001) but not probable anxiety (p > 0.05).
Background: Mental health problems are common among older people living with HIV and associated with poorer health outcomes. Social capital is an important determinant of mental health problems but under-studied in this population. This study investigated the association between social capital and mental health problems among older people living with HIV in China. Methods: The study was based on the baseline data of a cohort study investigating mental health among older people living with HIV in Sichuan, China during November 2018 to February 2019. Participants were people living with HIV aged ≥50 years living in Sichuan province. Stratified multi-stage cluster sampling was used to recruit participants from 30 communities/towns; 529 out of 556 participants being approached completed the face-to-face interview. Social capital was measured by two validated health-related social capital scales: the Individual and Family scale and the Community and Society scale. Presence of probable depression (CES-D-10 score ≥10) and probable anxiety (GAD-7 score ≥5) were used as dependent variables. Two-level logistic regression models were applied to examine the association between social capital and probable depression/anxiety. Results: The prevalence of probable depression and probable anxiety was 25.9% (137/529) and 36.3% (192/529) , respectively. After adjusting for significant covariates, the individual/family level of social capital was inversely associated with both probable depression (odds ratios (OR): 0.89, 95%CI: 0.84-0.93, p <0.001) and probable anxiety (OR: 0.90, 95%CI: 0.86-0.95, p <0.001). The community/society level social capital was associated with probable depression (OR: 0.91, 95%CI: 0.84-0.99, p <0.001) but not probable anxiety ( p >0.05). Conclusions: Interventions building up social capital should be considered to improve mental health of older people living with HIV. Some useful strategies include cognitive processing therapy, improving community networking and engagement, and promoting social bonding with neighborhood.
Objective: Although methadone for addiction treatment (MAT) has been widely used in China, the low adherence rate in MAT clinics poses a great challenge. We aimed to investigate the factors related to the adherence of heroin-dependent patients to MAT based on the Health Belief Model (HBM) in Sichuan, China. Methods: A cross-sectional structured interview was conducted between August and November 2018. Stratified multi-stage sampling was carried out. A total of 581 participants were enrolled from 5 clinics and completed the face-to-face structured interview. Univariate, adjusted logistic regression, multivariate logistic regression analysis and the structural equation modeling (SEM) were employed to explore the association between constructs of HBM and adherence to MAT among heroin-dependent patients. Results: The adherence rate of MAT was 79.3% in the past 6 months. Among all constructs of HBM, self-efficacy (AOR: 1.16, 95% CI: 1.10, 1.22), perceived benefits (AOR: 1.05, 95% CI: 1.00, 1.10) and perceived barriers (AOR: 0.87, 95% CI: 0.77, 0.98) were associated with adherence to MAT. Self-efficacy was directly associated with adherence to MAT (β = 0.347, P < 0.05). Perceive benefits (β = 0.276, P < 0.01) and perceived barriers (β = –0.241, P < 0.05) were directly associated with self-efficacy. However, perceived benefits (β = 0.096, P < 0.01) and perceived barriers (β = –0.084, P < 0.01) were only indirectly associated with adherence to MAT. Conclusion: The adherence of heroin-dependent patients to MAT can be explained by self-efficacy, perceived benefits and barriers. Self-efficacy plays a significant role as a mediating variable. Future interventions should be considered to improve patients’ self-efficacy to MAT.
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