Depression and its correlations with health-risk behaviors and social capital among female migrants working in entertainment venues in China

Prevalence and gender disparity of those who screen positive for depression in China by the classification of the employer and industry: a cross-sectional, population-based study

BACKGROUND

The important role of mental health in sustainable economic development is gradually being recognized. This study aimed to evaluate the prevalence and gender disparity of those who screen positive for depression in China by the employer and industrial classification.

METHODS

We used data from a nationally representative survey, the China Family Panel Studies. Depression was judged by the Centre for Epidemiologic Studies Depression Scale. Employer classifications were categorized according to the local characteristics of Mainland China. Industrial classifications were defined using level-1 of the China version of the International Standard Industrial Classification of All Economic Activities. Weighted logistic regressions were fitted to estimate the gender disparities, controlling for confounders.

RESULTS

Forty eight thousand six hundred twenty eight adults were included. 18.7% (95%CI 18.1-19.4) of sampled adults were screened positive for depression symptoms, with 16.6% (95%CI 15.8-17.5) in males vs 21.0% (95%CI 20.1-22.0) in females. By classification of the employer, the prevalence was lowest among those employed by Government/party organisations (11.8%, 95%CI 8.9-15.4), and highest in those self-employed (21.8%, 95%CI 20.8-22.9); the gender disparity was mainly found in those employed by Sole proprietorship (Adjusted odds ratio [AOR] = 1.95, 95%CI 1.19-3.19) and Private enterprise (AOR = 1.34, 95%CI 1.13-1.59), as well as those self-employed (AOR = 1.49, 95%CI 1.3-1.17). By industrial classification, the prevalence was lowest among those who worked in the industry of Real estate (7.2%, 95%CI 4.8-10.6), and highest among those who worked in the industry of Agriculture, forestry, animal husbandry and fishing (22.9%, 95%CI 15.5-32.4); the gender disparity was mainly found in those who worked in the industry of Agriculture, forestry, animal husbandry and fishing (AOR = 3.29, 95%CI 1.18-9.15), Manufacturing (AOR = 1.41, 95% CI 1.09-1.82), Wholesale and retail trade (AOR = 1.48, 95% CI 1.07-2.06), and Accommodation and food service (AOR = 1.91, 95% CI 1.15-3.18).

CONCLUSION

The prevalence of depression in China had a wide variation by classifications of the employer and industry. Gender disparities were identified among workers from Sole proprietorship, Private enterprise, and self-employed, or workers from the industry of Agriculture, forestry, animal husbandry and fishing, Manufacturing, Wholesale and retail trade, and Accommodation and food service.

Exploring multilevel determinants of co-occurring violence, HIV, mental health and substance use problems

Multiple factors contribute to co-occurring issues such as violence, HIV, and mental disorders among people who inject drugs (PWID), particularly those residing in limited resource settings. Using an ecological framework, this study explored multilevel determinants of co-occurring violence, HIV, mental health, and substance use issues among PWID. Data were collected via semi-structured in-depth interviews with 31 men and women PWID in India. Findings revealed factors at the community (e.g., stigma), interpersonal (e.g., abusive partners), and individual (e.g., financial stress) levels. Findings highlight the need for prevention and intervention programs addressing factors at multiple ecological levels to reduce comorbidity among PWID.

Prevalence and factors associated with major depression among female sex workers in post-conflict Gulu district: a cross-sectional study

Background

Female sex workers operating in conflict-affected settings could be at a much greater risk of major depression. However, the epidemiology of major depression in this population remains understudied. We aimed to determine the prevalence and the factors associated with major depression among FSWs in the post-conflict Gulu district in Northern Uganda.

Methods

We conducted a cross-sectional study among 300 randomly selected adult female sex workers in Gulu. We utilized a pre-tested semi-structured questionnaire, embedded with MINI 7.0.0, to gather information from each participant through face-to-face interviews. We collected data on socio-demographic characteristics, sex-work-related characteristics, alcohol and drug use, HIV status, and major depression. Then, data were entered into EPI INFO 7 and analyzed using logistic regression with the aid of STATA 14.0.

Results

The mean age (SD) of the study participants was 26.4 (± 6) years, 57.7% attained primary education, 51.7% never married, and 42.1% were living with HIV. The prevalence of major depression among FSWs in the district was 47.7%. In addition, the majority of the FSWs with major depression (91.0%) had either severe (50.4%) or moderate (40.6%) depressive symptoms. Independently, life stress (adjusted OR = 10.8, 95%CI: 5.67–20.57), living with HIV (adjusted OR = 2.25, 95%CI: 1.25–4.05), verbal abuse (adjusted OR = 2.27, 95%CI: 1.27–4.08), and older age (adjusted OR = 1.06, 95%CI: 1.01–1.12) all showed positive associations with major depression. Conversely, provision of sexual services from clients’ homes (adjusted OR = 0.50, 95%CI: 0.25–0.97), use of a non-barrier modern family planning method (adjusted OR = 0.44, 95%CI: 0.24–0.82), and daily intake of alcohol (adjusted OR = 0.50, 95%CI: 0.28–0.88) all showed negative associations with major depression.

Conclusions

There is a high prevalence of major depression among female sex workers in post-conflict Gulu. The high prevalence of major depression underscores the need for government and development partners to urgently and adequately address the mental health needs of female sex workers.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-11207-8.

Impact of social capital, sex and education on the utilization of public health services: a cross sectional study based on the China migrant dynamic survey

Background

China is making efforts to promote the equalization of National Essential Public Health Services (NEPHS) for internal migrants. Studies have demonstrated that the impacts of social capital on health services are different among subgroups of people. Clarifying these differences will help China accurately promote the equalization of NEPHS for the internal migrants and provide reference for other countries.

Methods

Data from the China Migrant Dynamic Survey of 2017, involving 130,642 migrants in 31 provinces were used to clarify the complex relationship between social capital and the utilization of NEPHS. Social capital was divided into regional cognitive social capital (RCSC), regional structural social capital (RSSC), individual cognitive social capital (ICSC), and individual structural social capital (ISSC). Then, multi-level logistic regression was conducted to analyze their impacts on the utilization of NEPHS of the migrants, and whether such impacts are moderated by sex and education.

Results

(1) There are significant differences in the levels of CSC, SSC, and NEPHS utilization between different sexs and educational subgroups of the migrants, among which the educational difference is more prominent. (2) An interaction exists between the levels and dimensions of social capital and NEPHS projects. Also, the impact of SSC on NEPHS is always greater than that of CSC at the same level. (3) The effects of RCSC, RSSC, ICSC, and ISSC on NEPHS utilization by migrants are not moderated by sex. However, a high education could weaken the relationship between RCSC and health education, ISSC and health education, and RSSC and health records but strengthen the correlation between RSSC and health education.

Conclusion

Social capital plays an important role in the access of migrants to NEPHS. Governments should vigorously promote the construction of regional social capital, encourage migrants to actively participate in community activities, especially pay attention to the enhancement of the migrants with low SES to the destination identity.

Validation of the Personal Social Capital Scale-16 in Portugal: preliminary data on Portuguese and immigrants

OBJECTIVES

The Personal Social Capital Scale 16 (PSCS-16) is a self-report measure used to assess social capital, as a social determinant of health. To guarantee validated measures of this construct, the psychometric properties of the Portuguese version of the PSCS-16 were studied.

METHODS

The PSCS-16 comprises 16 items, organized in two scales: bonding and bridging social capital. A convenience sample of 280 participants was collected through an online survey. For construct validity, we used confirmatory factor analysis, and convergent and discriminant validity through the average variance extracted (AVE) and correlations. For reliability, we used: The Spearman-Brown split-half and the omega hierarchical coefficient. Correlations were made between the PSCS-16 and socio-demographic variables.

RESULTS

A first-order model depicting two oblique factors was supported, suggesting the use of the two scales. Evidence of convergent validity was achieved: acceptable AVE and associations between social capital and emotional self-disclosure. For discriminant validity, the AVE values surpassed the squared correlation between bonding and bridging, and associations with sexual health were found to be absent. Reliability was good. Additional correlations: A positive association between the education level and bridging social capital and participants with an immigrant status having more bridging social capital.

CONCLUSIONS

Preliminary findings support the Portuguese version of PSCS-16 as suitable to evaluate social capital. Contributions are highlighted: the need to study correlates of social capital, particularly crossing migrations, social capital and mental health; and confirming the structure found by measuring its invariance.

Mental health problems among female sex workers in low- and middle-income countries: A systematic review and meta-analysis

BACKGROUND

The psychological health of female sex workers (FSWs) has emerged as a major public health concern in many low- and middle-income countries (LMICs). Key risk factors include poverty, low education, violence, alcohol and drug use, human immunodeficiency virus (HIV), and stigma and discrimination. This systematic review and meta-analysis aimed to quantify the prevalence of mental health problems among FSWs in LMICs, and to examine associations with common risk factors.

METHOD AND FINDINGS

The review protocol was registered with PROSPERO, number CRD42016049179. We searched 6 electronic databases for peer-reviewed, quantitative studies from inception to 26 April 2020. Study quality was assessed with the Centre for Evidence-Based Management (CEBM) Critical Appraisal Tool. Pooled prevalence estimates were calculated for depression, anxiety, post-traumatic stress disorder (PTSD), and suicidal behaviour. Meta-analyses examined associations between these disorders and violence, alcohol/drug use, condom use, and HIV/sexually transmitted infection (STI). A total of 1,046 studies were identified, and 68 papers reporting on 56 unique studies were eligible for inclusion. These were geographically diverse (26 countries), representing all LMIC regions, and included 24,940 participants. All studies were cross-sectional and used a range of measurement tools; none reported a mental health intervention. Of the 56 studies, 14 scored as strong quality, 34 scored as moderate, and 8 scored as weak. The average age of participants was 28.9 years (age range: 11-64 years), with just under half (46%) having up to primary education or less. The pooled prevalence rates for mental disorders among FSWs in LMICs were as follows: depression 41.8% (95% CI 35.8%-48.0%), anxiety 21.0% (95% CI: 4.8%-58.4%), PTSD 19.7% (95% CI 3.2%-64.6%), psychological distress 40.8% (95% CI 20.7%-64.4%), recent suicide ideation 22.8% (95% CI 13.2%-36.5%), and recent suicide attempt 6.3% (95% CI 3.4%-11.4%). Meta-analyses found significant associations between violence experience and depression, violence experience and recent suicidal behaviour, alcohol use and recent suicidal behaviour, illicit drug use and depression, depression and inconsistent condom use with clients, and depression and HIV infection. Key study limitations include a paucity of longitudinal studies (necessary to assess causality), non-random sampling of participants by many studies, and the use of different measurement tools and cut-off scores to measure mental health problems and other common risk factors.

CONCLUSIONS

In this study, we found that mental health problems are highly prevalent among FSWs in LMICs and are strongly associated with common risk factors. Study findings support the concept of overlapping vulnerabilities and highlight the urgent need for interventions designed to improve the mental health and well-being of FSWs.

Migration Status and Smoking Behaviors in Later-Life in China-Evidence From the China Health and Retirement Longitudinal Study (CHARLS)

Background: China is the biggest consumer of tobacco in the world, with a high prevalence of smoking especially among men. Along with the rapid demographic change in China, the burden of diseases attributable to health behaviors, particularly smoking is steadily increasing. So, smoking has become a major risk factor for mortality in China. Smoking behaviors may be related to migration processes, as a result of both who migrates and post-migration experiences related to socioeconomic position, stress and acculturation. Existing studies that have examined smoking and migration in China have, however, only focused on temporary rural-to-urban migrants and focused on relatively younger migrants. This paper examines the association between smoking behaviors and a comprehensive assessment of migration status in later-life in China.

Methods: Using the China Health and Retirement Longitudinal Study (CHARLS), a nationally representative dataset, this paper studies smoking behaviors of rural-to-urban migrants, urban-to-urban migrants, rural return migrants, and urban return migrants. We compare them with corresponding non-migrant groups in both rural and urban locations in China. Using a model that controls for demographic factors, early-life circumstances, socioeconomic factors, and factors related to migration, we examine both the decision to start smoking and the decision to quit smoking. In addition, we also address pre-migration selection in our analyses.

Results: The results show rural-to-urban migrants are no more likely to start smoking compared with rural non-migrants, but they are more likely to quit smoking. While urban-to-urban migrants are more likely to start smoking compared with urban non-migrants, this effect is explained by the factors we include in the full model. Urban-to-urban migrants are, however, less likely to quit smoking. Moreover, both rural return migrants and urban return migrants seem to be more likely to start smoking and less likely to quit smoking compared with non-migrant groups.

Conclusion: There are strong associations between migration status and later-life smoking behaviors in China; these associations vary greatly according to different migration status and point to populations and factors that public health activities should focus on.