A preliminary study of the mental health of young migrant workers in Shenzhen

Psychological implications of unemployment among higher educated migrant youth in Kolkata City, India

Mental health issues are intricately linked to socioeconomic background, employment and migration status. However, there remains a gap in understanding the mental health challenges faced by graduate youth in India, particularly in Kolkata City. This study aims to assess the prevalence and associated risk factors of depression, anxiety, and stress among higher-educated migrant youth. A survey was conducted on four hundred migrant graduate youths aged 21-35 residing in Kolkata. Measures included socio-demographics and the Depression Anxiety Stress Scale (DASS-21). Chi-square tests and binary logistic regression were employed to identify factors associated with mental health issues. The overall prevalence rates were 54.4% for depression, 61.8% for anxiety, and 47.9% for stress. Unemployed youths exhibited significantly more symptoms of depression and anxiety than their employed counter parts. The logistic regression model showed that unemployed youth, female sex, never married, and second- and third-time migrant youths were risk factors for high scores on the DASS-21. This study showed that mental health issues were alarming in the higher educated migrant youth. The study suggests the implementation of skill-based, job-oriented, and professional courses at the graduation level to prevent graduates from being rendered unproductive and jobless. Beside these, regular psychological support should be provided to the higher educated youth by the local governments.

Gender differences and left-behind experiences in the relationship between gaming disorder, rumination and sleep quality among a sample of Chinese university students during the late stage of the COVID-19 pandemic

Background and aims

Studies have shown that gaming disorder (GD) is associated with rumination and poor sleep quality. However, the reciprocal relationship between GD, rumination and sleep quality is unclear. Moreover, the differences between gender and between left-behind experiences in the aforementioned relationship remain unknown. Therefore, the present study examined gender differences and left-behind experiences in the relationship between GD, rumination, and sleep quality among a sample of Chinese university students during the late stage of COVID-19 pandemic using a network analysis approach.

Methods

A cross-sectional online survey of 1,872 Chinese university students was conducted comprising demographic information (age, gender, and left-behind experience), gaming experience, gaming frequency, Gaming Disorder Test (GDT), Short Version of Rumination Response Scale (RRS), and Pittsburgh Sleep Quality Index (PSQI).

Results

Among Chinese university students, the prevalence of (i) GD was 3.5% and (ii) sleep disturbance was 14%. GD had positive and weak connection with rumination and sleep quality in the domain-level relational network. The network structures and global strengths both showed no significant differences between gender and between left-behind experiences. The nodes gd3 ("continuation or escalation of gaming") and gd4 ("gaming problems") had the strongest edge in the network.

Conclusion

The results suggest reciprocal relationships between GD, rumination, and sleep quality. Gender and left-behind experiences did not influence the reciprocal relationship between GD, rumination, and sleep quality during the late stage of COVID-19 pandemic. Using network analysis, the findings provide novel insights that rumination and sleep quality may have interacted with GD among Chinese students during the late stage of COVID-19 pandemic. Reducing or eliminating negative rumination may decrease GD and improve sleep quality. Moreover, good sleep quality contributes to positive rumination which may decrease the risk of GD among Chinese university students.

Work-related factors on mental health among migrant factory workers in china: Application of the Demand-Control and Effort-Reward Imbalance Model

Mental health problems are prevalent among migrant workers in China. The present study examined the prevalence of mental health problems (depression, anxiety and suicidal ideation) among migrant workers in China, and identified the work-related factors associated with their mental health problems based on the Demand-Control and Effort-Reward Imbalance Model. A total of 807 migrant workers were recruited from three factories in Shenzhen using stratified randomized sampling. The prevalence of moderate-to-severe anxiety, mild-to-severe depression and suicidal ideation in the past year was 17.8%, 60.3% and 4.8% respectively. Results from stepwise regression analyses reported that role conflict and effort were risk factors, whereas utilization of job skills and reward were protective factors for anxiety and depression. Social support was also associated with lower level of depression. Effort was the only factor associated with suicidal ideation in the stepwise analysis. Interventions to improve their mental health are warranted and they should work to reduce their role conflict, improve effort-reward balance, promote utilization of skills and increase social support.

Intergenerational transmission of anxiety in Chinese migrant families: The mediating role of parents' perceptions of coparenting

BACKGROUND

There is evidence that anxiety transmits across generations. However, little is known about the intergenerational transmission of anxiety in Chinese migrant families and the potential mediators of the intergenerational transmission. Therefore, this study investigated the intergenerational transmission of anxiety from both fathers and mothers to children in Chinese migrant families and the mediating role of both mothers' and fathers' perceptions of coparenting.

METHODS

Participants were 477 elementary school-age children and both their parents in Chinese migrant families. Mothers and fathers self-reported their anxiety and perceptions of coparenting. Children's anxiety was measured based on maternal report and paternal report. Structural equation modelling was used to evaluate the mediating role of both mothers' and fathers' perceptions of coparenting in the intergenerational transmission of anxiety.

RESULTS

Anxiety was transmitted across generations from both fathers and mothers to migrant children, and fathers' (but not mothers') perceptions of coparenting mediated the intergenerational transmission of anxiety from both fathers and mothers to migrant children.

LIMITATIONS

Causal conclusions cannot be drawn based on cross-sectional research design.

CONCLUSIONS

Coparenting seemed to play an important role in the intergenerational transmission of anxiety. Interventions preventing the intergenerational transmission of anxiety should designate relevant effort enhancing fathers' perceptions of coparenting by changing fathers' negative perceptions and evaluations of the coparenting relationship and increasing mothers' high-quality coparenting behavior.

Mental Well-Being and Its Associated Factors Among Myanmar Migrant Workers in Penang, Malaysia

International migration has become a global phenomenon bringing with it complex and interrelated issues related to the physical and mental well-being of the people involved. This study investigated the mental well-being and factors associated with mental health among Myanmar migrant workers (MMW) in Malaysia. The cross-sectional study was conducted in Penang, Malaysia by using the WHO-5 Well-Being Index Scale (WHO-5) and the Mental Health subscale of 36 items in the Short Form Health Survey (SF-36). Among 192 migrant workers who were understudied, 79.2% had poor mental well-being according to the WHO-5 scale. The duration of stay in Malaysia and without receiving financial aid from their employers despite having a physical illness were significantly associated with poor mental well-being. Mental health support groups should target migrant workers for mental health education and find ways to provide assistance for them. Furthermore, premigration training should be delivered at the country of origin that also provides information on the availability of mental health support in the host country.

The mental health and depression of rural-to-urban migrant workers compared to non-migrant workers in Shanghai: a cross-sectional study

BACKGROUND

Migrant workers worldwide commonly are susceptible to mental disorders. Since the 1980s, there has been a large-scale increase in the number of migrant workers in China; this development parallels the acceleration of socio-economic transformation. Studies addressing this population rarely focus on workers' mental health or psychological well-being, yet it is imperative to understand the mental health status of rural-to-urban migrant workers and study the relationship between migration and mental health.

METHODS

A cross-sectional survey of 3286 participants (response rate 85.4%) was conducted among different work units in Shanghai. All of the variables of this survey were assessed by a self-administered questionnaire, with depression measured by the Patient Health Questionnaire-9 (PHQ-9) scale and poor mental health (PMH) measured by the World Health Organization 5-Item Well-Being Index (WHO-5) scale. Pearson's χ2 test and logistic regression were used to compare migrants with urbanites, and to identify factors related to mental health outcomes.

RESULTS

Migrant workers (15.3%) had a slightly higher prevalence of depression than non-migrant (12.0%) workers, with notable PMH (26.9%) among participants >45 y of age. In the logistic regression models, those who reported low job satisfaction, unhealthy organizations, poor physical health (self-rated) and long working hours were 2.86 (95% CI 2.14 to 3.84), 1.42 (95% CI 1.06 to 1.91), 1.89 (95% CI 1.41 to 2.55) and 1.48 (95% CI 1.08 to 2.03) times more likely to have depression, respectively. Similarly, workers >45 y of age were 2.92 (95% CI 1.65 to 5.16) and 1.80 (95% CI 1.01 to 3.21) times more likely to have PMH for low job satisfaction and unhealthy organizations, respectively.

CONCLUSIONS

There are numerous potential causes affecting the mental health of Chinese internal migrant workers. Strengthening the construction of healthy organizations and enhancing workers' job satisfaction may improve the mental health status or psychological well-being of this group.

Determinants of the Proactiveness of Female Migrant Workers with Psychological Distress Seeking Allied Health Services

Seeking utilization of allied health services (AHS) has significant implications for psychological distress self-management. However, utilization of AHS by Chinese female migrant workers (FMWs) has not received enough attention. This study, therefore, aims to explore what contributes to FMWs' proactiveness in utilizing AHS. A cross-sectional study was conducted to collect data in terms of socio-demographic characteristics, work-related characteristics and AHS accessibility. A logistic regression model was adopted to examine association of these predictors with proactiveness in seeking AHS. 992 FMWs with psychological distress were interviewed with stratified multiple-stage sampling. The results indicated that Basic Public Health Services (BPHS) is a salient predictor affecting proactiveness in seeking AHS. BPHS includes psychological counseling (Odds Ratio (OR) =2.401, 95% Confidence Interval (CI) =1.284-4.490, p = 0.006), psychotherapy (OR = 2.063, 95% CI = 1.438-2.960, p = 0.000) and health knowledge lectures (OR = 1.613, 95% CI = 1.115-2.333, p = 0.011). Moreover, sampled participants under 25 and those who received education for more than 9 years are more likely to seek AHS compared with other groups. In addition, proactiveness in seeking AHS is clearly associated with working hours per day. The probability is only 31.1% for those working more than 12 h per day to seek AHS actively compared with those working below 8 h (95% CI = 0.119-0.812, p = 0.017). There are no differences between those with 8-12 working hours and those working less than 8 h (OR = 1.100, 95% CI = 0.798-1.518, p = 0.560). The present findings suggest that policies be made to improve the coverage of BPHS and to provide specified AHS to meet the increasing demand of different social groups.

Common mental health problems in rural-to-urban migrant workers in Shenzhen, China: prevalence and risk factors

AIMS

Rural-to-urban migrant workers are a large marginalised population in urban China. Prevalence estimates of common mental health problems (CMHPs) in previous studies varied widely and very few studies have investigated migration-related factors of CMHPs in migrant workers. The objective of this study was to determine the prevalence and risk factors of CMHPs among Chinese migrant workers.

METHODS

A random sample of 3031 migrant workers of ten manufacturing factories in Shenzhen, China, completed a standardised questionnaire containing socio-demographic and migration-related variables and the Chinese 12-item General Health Questionnaire (GHQ-12). A GHQ-12 score of three or higher was used to denote the presence of CMHPs.

RESULTS

The prevalence of CMHPs was 34.4% in Chinese migrant workers. In multiple logistic regression, risk factors for CMHPs included being 16-25 years old (odd ratio [OR] 1.65, 95% confidence interval [CI] 1.28, 2.12), being 26-35 years old (OR 1.36, 95% CI: 1.05, 1.75), low monthly income (OR 1.42, 95% CI 1.04, 1.92), poor living condition (OR: 1.76, 95% CI: 1.22, 2.54), physical illness in the past 2 weeks (OR 1.72, 95% CI 1.43, 2.05), having worked in many cities (OR 1.34, 95% CI 1.03, 1.74), infrequently visiting hometown (OR 1.56, 95% CI 1.22, 1.99), poor Mandarin proficiency (OR 1.51, 95%CI 1.13, 2.01), a low level of perceived benefits of migration (OR 1.33, 95% CI 1.14, 1.55) and working more than 8 h/day (OR 1.39, 95% CI 1.14, 1.70).

CONCLUSIONS

CMHPs are very prevalent among Chinese migrant workers. Given the large number of Chinese migrant workers, there is an urgent need to address the mental health burden of China's migrant worker population.

Measuring the effects of socioeconomic factors on mental health among migrants in urban China: a multiple indicators multiple causes model

Objectives

Since 1978, rural–urban migrants mainly contribute Chinese urbanization. The purpose of this paper is to examine the effects of socioeconomic factors on mental health of them. Their mental health was measured by 12-item general health questionnaire (GHQ-12).

Methods

The study sample comprised 5925 migrants obtained from the 2009 rural-to-urban migrants survey (RUMiC). The relationships among the instruments were assessed by the correlation analysis. The one-factor (overall items), two-factor (positive vs. negative items), and model conducted by principal component analysis were tested in the confirmatory factor analysis (CFA). On the basis of three CFA models, the three multiple indicators multiple causes (MIMIC) models with age, gender, marriage, ethnicity, and employment were constructed to investigate the concurrent associations between socioeconomic factors and GHQ-12.

Results

Of the sample, only 1.94% were of ethnic origin and mean age was 31.63 (SD = ±10.43) years. The one-factor, two-factor, and three-factor structure (i.e. semi-positive/negative/independent usefulness) had good model fits in the CFA analysis and gave order (i.e. 2 factor>3 factor>1 factor), which suggests that the three models can be used to assess psychological symptoms of migrants in urban China. All MIMIC models had acceptable fit and gave order (i.e. one-dimensional model>two-dimensional model>three-dimensional model).

Conclusions

There were weak associations of socioeconomic factors with mental health among migrants in urban China. Policy discussion suggested that improvement of socioeconomic status of rural–urban migrants and mental health systems in urban China should be highlighted and strengthened.

Electronic supplementary material

The online version of this article (doi:10.1186/s13033-016-0118-y) contains supplementary material, which is available to authorized users.

The effect of migration on social capital and depression among older adults in China

PURPOSE

An estimated 9 million elderly people accompanied their adult children to urban areas in China, raising concerns about their social capital and mental health following re-location. The aim of this study was to examine the effect of migration on social capital and depression among this population.

METHODS

Multistage stratified cluster sampling was applied to recruit the migrant and urban elderly in Hangzhou from May to August, 2013. Data were collected from face-to-face interviews by trained college students using a standardized questionnaire. Social capital measurements included cognitive (generalized trust and reciprocity) and structure (support from individual and social contact) aspects. Depression was measured by Geriatric Depression Scale-30 (GDS-30). Chi-square tests and binary logistic regression models were used for analysis.

RESULTS

A total of 1248 migrant elderly and 1322 urban elderly were eligible for analysis. After adjusting for a range of confounder factors, binary logistic regression models revealed that migrant elderly reported significantly lower levels of generalized trust [OR = 1.34, 95% CI (1.10-1.64)], reciprocity [OR = 1.55, 95% CI (1.29-1.87)], support from individual [OR = 1.96, 95% CI (1.61-2.38)] and social contact [OR = 3.27, 95% CI (2.70-3.97)]. In the full adjusted model, migrant elderly were more likely to be mentally unhealthy [OR = 1.85, 95% CI (1.44-2.36)] compared with urban elderly.

CONCLUSIONS

Migrant elderly suffered from a lower mental health status and social capital than their urban counterparts in the emigrating city. Attention should focus on improving the social capital and mental health of this growing population.

Assessing Psychological Distress in Zulu-Speakers: Preliminary Findings from an Adaptation of the SCL-90-R

The SCL-90-R, a 90-item multidimensional self-report symptom inventory, was translated into Zulu. A multistage translation procedure, involving back-translation, decentering, and the committee approach was employed. The translated instrument was pretested on a group of Zulu farm workers ( N = 12) and revisions made in order to improve its comprehensibility and acceptability to Zulu respondents. The concurrent validity of the Zulu SCL-90-R was investigated with samples of male psychiatric inpatients ( N = 23) and nonpatients ( N = 26). The Global Severity Index of the SCL-90-R demonstrated moderate diagnostic efficiency, with a sensitivity of .70 and a specificity of .77. These results suggest that the Zulu SCL-90-R may be a potentially useful psychometric instrument for the evaluation of psychological distress and screening for mental illness in Zulu-speakers.

Self-concept of left-behind children in China: a systematic review of the literature

The aim of our study was to systematically review studies which had compared self-concept in left-behind children with the general population of children in China. Relevant studies about self-concept of left-behind children in China published from 2004 to 2014 were sought by searching online databases including Chinese Biological Medicine Database (CBM), Chinese National Knowledge Infrastructure (CNKI), Wanfang Database, Vip Database, PubMed Database, Google Scholar and Web of Science. The methodological quality of the articles was assessed by using Newcastle-Ottawa Scale (NOS). Poled effect size and associated 95% confidence interval (CI) were calculated using the random effects model. Cochrane's Q was used to test for heterogeneity and I(2) index was used to determine the degree of heterogeneity. Nineteen studies involving 7758 left-behind children met the inclusion criteria and 15 studies were included in a meta-analysis. The results indicated that left-behind group had a lower score of self-concept and more psychological problems than the control group. The factors associated with self-concept in left-behind children were gender, age, grade and the relationships with parents, guardians and teachers. Left-behind children had lower self-concept and more mental health problems compared with the general population of children. The development of self-concept may be an important channel for promoting mental health of left-behind children.

Internal migration, mental health, and suicidal behaviors in young rural Chinese

PURPOSE

There is a dearth of data on the association of internal migration with mental health in young rural Chinese. This study aims to explore the associations between migrant status, mental health, and suicidal behaviors in young rural Chinese.

METHODS

We recruited 1,646 rural subjects aged 16-34 years, of whom 756 were migrant workers and 890 non-migrants, from ten representative villages in rural Sichuan Province, the southwestern part of China. To assess subject's depressive symptoms and general psychological quality of life (psycho-QOL), the study protocol included the Centre for Epidemiological Studies Depression Scale, and psycho-QOL subscale of the World Health Organization's QOL Questionnaire-Brief Version, in addition to structured questions regarding one-year suicidal thoughts and behaviors (serious ideation, plan, and attempt), socio-demographic, social support, and physical health information.

RESULTS

After adjustment for confounders, migrant workers had relative to non-migrant rural residents a decreased risk for depression (OR = 0.69, P = 0.026), but comparable risk for poor psycho-QOL (OR = 0.91, P = 0.557) and one-year suicidal behaviors (OR = 0.59-1.10, P = 0.19-0.90). Migrant status only accounted for 0.5, 2.8, 4.7, 9.8, and 12.6% of the total explainable variance for suicide attempt, poor psycho-QOL, suicide plan, depression and serious suicide ideation, respectively.

CONCLUSION

Our findings suggested that among young rural Chinese there were no significant associations involving migrant status and poor psycho-QOL or one-year suicidal behaviors, while migrant status significantly correlated with a decreased risk of depression. The unique contribution of migrant status to mental health among young rural Chinese participants in this study was very small.

Mental wellbeing amongst younger and older migrant workers in comparison to their urban counterparts in Guangzhou city, China: a cross-sectional study

Background

There has been a dramatic increase in internal migrant workers in China over recent decades, and there is a recent concern of poor mental health particularly amongst younger or “new generation” migrants who were born in 1980 or later.

Methods

A cross-sectional study was conducted in Guangzhou city between May and July in 2012. Mental wellbeing was measured using the World Health Organization Five-item Well-Being Index Scale and the 36 Item Short Form Health Survey mental health scale. Linear and logistic regression models were used to investigate the differences between migrant workers and their urban counterparts and between younger and older migrants.

Results

Migrant workers (n = 914) showed a small but significant advantage in mental wellbeing compared to their urban counterparts (n = 814). There was some evidence for age modification effect (p for interaction = 0.055-0.095); better mental wellbeing in migrants than urbanites were mainly seen in the older compared to the younger group, and the difference attenuated somewhat after controlling for income satisfaction. Older migrants showed better mental health than younger migrants. Factors that were independently associated with poor mental health in migrants included being male, longer working hours, and income dissatisfaction, whilst older age, factory job, high income, and increased use of social support resources were associated with reduced risk.

Conclusions

Efforts to promote mental health amongst migrant workers may be usefully targeted on younger migrants and include measures aimed to improve working conditions, strengthen the social support network, and address age-specific needs.

Work ability of Chinese migrant workers: the influence of migration characteristics

BACKGROUND

Migrant workers have become a vital labor supply to China's economy. Their migration process and work conditions may influence their health and work ability. The work ability of migrant workers in China and the influence of the migration process on work ability have not been explored extensively in previous studies. The objective of this study is to evaluate the association of migration characteristics and work-related factors with work ability among migrant workers in the Pearl River Delta.

METHODS

In this cross-sectional survey, the study population consisted of 907 migrant workers from ten factories in the Pearl River Delta who were exposed to organic solvents during work. The primary dependent variable of the study was work ability, measured by the Work Ability Index (WAI). The independent variables were individual characteristics, migration characteristics, and work-related factors. Logistic regression models were used to determine the influence of different factors on work ability and three dimensions of WAI.

RESULTS

The result shows that among migration characteristics, social support was significantly associated with all three dimensions of the work ability index. Permanent migration intention and longer length of migration were negatively associated with the mental resource dimension of WAI. WAI was also influenced by individual and work-related factors.

CONCLUSIONS

The findings of this study suggest that expanding migrants' social networks and social support systems in their work place or living community, (i.e. expanding the functions of labor unions) would be an effective way to improve migrant workers' work ability. Improving of migrant workers' physical and psychosocial related work environments would also increase their work ability.

Prevalence of psychological symptoms in contemporary Chinese rural-to-urban migrant workers: an exploratory meta-analysis of observational studies using the SCL-90-R

PURPOSE

(1) To estimate the pooled prevalence of psychological symptoms in Chinese migrant workers (CMWs), as measured using the Symptom Checklist-90-R (SCL-90-R) in observational studies conducted in China, and (2) to explore the potential variables associated with the SCL-90-R Global Severity Index (GSI), the overall mental health indicator of CMWs.

METHODS

We performed a comprehensive literature search of the major English and Chinese databases (to June 2012). Cross-sectional surveys and case-control studies of CMWs (and controls where appropriate) that reported at least one subscale score of the SCL-90-R were included. Multilevel meta-analysis was used to pool the symptom scores of cross-sectional surveys and mean differences of symptom scores ("Cohen's d" values) between CMWs and controls of case-control studies. Multilevel meta-analysis with ecological- or study-level covariates was used to explore the associations between variables and SCL-90-R GSI score.

RESULTS

The search yielded 48 cross-sectional surveys (comprising 42,813 CMWs) and seven surveys that included control samples. The pooled psychological symptom scores (95% confidence interval) of CMWs were statistically higher than those of norms from Chinese general population on all scales of SCL-90-R, except for obsessive-compulsive subscale in study quality subgroup analysis. CMWs also scored statistically higher than those of urban counterpart controls on all scales of SCL-90-R. Multilevel regression meta-analysis model revealed that four covariates that accounted for 33.9% of SCL-90-R GSI heterogeneity across all surveys, including: "mean age of study sample," "geographic area," "per capita GDP," and "statutory minimum monthly wage" of study site in implementation year.

CONCLUSION

CMWs have more severe psychological symptoms than the general population, and thus, appear to experience higher level of psychological distress. Macro-economic factors may have impact on the overall mental health of CMWs, but the factors that contribute to mental health and mental distress among CMWs remain to be explored and understood.

Health of China's rural-urban migrants and their families: a review of literature from 2000 to 2012

BACKGROUND

Socioeconomic transformation in China at the beginning of the twenty-first century has led to rapid urbanization and accelerated rural-urban migration. As a result, the concerns about public health problems triggered by increasing internal population mobility have been more widely studied in recent years.

SOURCES OF DATA

Published data in Chinese and English on health of migrants and their families in mainland China from 2000 to 2012.

AREAS OF AGREEMENT

The shifting patterns of disease distribution due to rural-urban migration, health equity and health reform strategies that cater for this specific yet substantial subpopulation are outstanding concerns. Infectious diseases, mental health, occupational health and women's health are emerging public health priorities related to migration.

AREAS OF CONTROVERSY

The high mobility and large numbers of Chinese rural-urban migrants pose challenges to research methods and the reliability of evidence gained.

GROWING POINTS

While the theme of working migrants is common in the literature, there have also been some studies of health of those left behind but who often remain unregistered. Migration within China is not a single entity and understanding the dynamics of new and emerging societies will need further study.

AREAS TIMELY FOR DEVELOPING RESEARCH

Social, economic, emotional, environmental and behavioural risk factors that impact on health of migrants and their families call for more attention from health policy-makers and researchers in contemporary China.

Mental health status and related characteristics of Chinese male rural-urban migrant workers

To explore mental health status and related characteristics in a sample of Chinese male rural-urban migrants. Subjects were 1,595 male rural-urban migrant workers selected though a multi-stage sample survey conducted in two cities (Hangzhou and Guangzhou). Data were collected by means of a self-administered questionnaire. Both life and work stressors were examined. Stress and mental health status were measured by the Chinese Perceived Stress Scale (CPSS) and the Chinese Health Questionnaire (CHQ), respectively. Unconditional logistic regression analysis was performed to identify factors associated with probable mental disorders. There are approximately 120 million rural-urban migrants in China. The prevalence of probable mental disorders in the sample population was 24.4% (95% CI: 23.3-25.5%), which was higher than among urban residents (20.2%, 95% CI: 18.8-21.7%). Logistic regression analysis revealed that five characteristics were positively associated with risk for probable mental disorders: originating in the South (OR = 2.00; 95% CI = 1.02, 4.00), higher life stress (OR = 7.63; 95% CI = 5.88, 10.00), staying in the city for 5-9 months each year (OR = 2.56; 95% CI = 1.67, 3.85), higher work stress (OR = 2.56; 95% CI = 1.96, 3.33), and separation from wife (OR = 2.43; 95% CI = 1.61, 3.57). Employment in machinery and transportation (OR = 0.54; 95% CI = 0.36, 0.81) and higher self-worth (OR = 0.42; 95% CI = 0.28, 0.62) were negatively associated. Findings support an urgent need to develop specific policies and programs to address mental health problems among Chinese rural-urban migrants.

The effects of social connections on self-rated physical and mental health among internal migrant and local adolescents in Shanghai, China

BACKGROUND

China is in the midst of history's largest flow of rural-urban migration in the world; a flow that includes growing numbers of children and adolescents. Their health status is an important public health issue. This study compares self-rated physical and mental health of migrant and local adolescents in China, and examines to what extent layered social connections account for health outcomes.

METHODS

In 2010, we conducted a cross-sectional study among middle school students in Pudong New Area, Shanghai. Information about health status, social connections, and demographic factors were collected using a questionnaire survey. After controlling for sociodemographic factors, we used the t-test, Chi-square analysis, and a series of regression models to compare differences in health outcomes and explore the effects of social connections.

RESULTS

Migrant adolescents reported significantly higher rates of good physical health. However, they also had significantly fewer social connections, lower self-esteem, and higher levels of depression than their native peers. Family cohesion was associated with depressive symptoms and low self-esteem among all adolescents; peer association and social cohesion played major roles in migrants' well-being. Gender, age, and socioeconomic (SES) factors also affected adolescents' self-rated physical and mental health.

CONCLUSIONS

Self-rated data suggest that migrant adolescents enjoy a physical health advantage and a mental health disadvantage. Layered social connections, such as peer association and social cohesion, may be particularly important for migrants. A public health effort is required to improve the health status of migrant youth.

Discrimination, perceived social inequity, and mental health among rural-to-urban migrants in China

Status-based discrimination and inequity have been associated with the process of migration, especially with economics-driven internal migration. However, their association with mental health among economy-driven internal migrants in developing countries is rarely assessed. This study examines discriminatory experiences and perceived social inequity in relation to mental health status among rural-to-urban migrants in China. Cross-sectional data were collected from 1,006 rural-to-urban migrants in 2004-2005 in Beijing, China. Participants reported their perceptions and experiences of being discriminated in daily life in urban destination and perceived social inequity. Mental health was measured using the symptom checklist-90 (SCL-90). Multivariate analyses using general linear model were performed to test the effect of discriminatory experience and perceived social inequity on mental health. Experience of discrimination was positively associated with male gender, being married at least once, poorer health status, shorter duration of migration, and middle range of personal income. Likewise, perceived social inequity was associated with poorer health status, higher education attainment, and lower personal income. Multivariate analyses indicate that both experience of discrimination and perceived social inequity were strongly associated with mental health problems of rural-to-urban migrants. Experience of discrimination in daily life and perceived social inequity have a significant influence on mental health among rural-to-urban migrants. The findings underscore the needs to reduce public or societal discrimination against rural-to-urban migrants, to eliminate structural barriers (i.e., dual household registrations) for migrants to fully benefit from the urban economic development, and to create a positive atmosphere to improve migrant's psychological well-being.

Factors associated with health-seeking behavior among migrant workers in Beijing, China

BACKGROUND

Migrant workers are a unique phenomenon in the process of China's economic transformation. The household registration system classifies them as temporary residents in cities, putting them in a vulnerable state with an unfair share of urban infrastructure and social public welfare. The amount of pressure inflicted by migrant workers in Beijing, as one of the major migration destinations, is currently at a threshold. This study was designed to assess the factors associated with health-seeking behavior and to explore feasible solutions to the obstacles migrant workers in China faced with when accessing health-care.

METHODS

A sample of 2,478 migrant workers in Beijing was chosen by the multi-stage stratified cluster sampling method. A structured questionnaire survey was conducted via face-to-face interviews between investigators and subjects. The multilevel methodology (MLM) was used to demonstrate the independent effects of the explanatory variables on health seeking behavior in migrant workers.

RESULTS

The medical visitation rate of migrant workers within the past two weeks was 4.8%, which only accounted for 36.4% of those who were ill. Nearly one-third of the migrant workers chose self-medication (33.3%) or no measures (30.3%) while ill within the past two weeks. 19.7% of the sick migrants who should have been hospitalized failed to receive medical treatment within the past year. According to self-reported reasons, the high cost of health service was a significant obstacle to health-care access for 40.5% of the migrant workers who became sick. However, 94.0% of the migrant workers didn't have any insurance coverage in Beijing. The multilevel model analysis indicates that health-seeking behavior among migrants is significantly associated with their insurance coverage. Meanwhile, such factors as household monthly income per capita and working hours per day also affect the medical visitation rate of the migrant workers in Beijing.

CONCLUSION

This study assesses the influence of socio-demographic characteristics on the migrant workers' decision to seek health care services when they fall ill, and it also indicates that the current health service system discourages migrant workers from seeking appropriate care of good quality. Relevant policies of public medical insurance and assistance program should be vigorously implemented for providing affordable health care services to the migrants. Feasible measures need to be taken to reduce the health risks associated with current hygiene practices and equity should be assured in access to health care services among migrant workers.

Mental health of migrant workers in China: prevalence and correlates

BACKGROUND

This study aimed to examine the prevalence and the socio-demographic correlates of mental health of migrant workers in Shanghai China.

METHODS

A total of 475 migrant workers from four major districts in Shanghai were recruited through a survey design with a multistage cluster [corrected] sampling. Male and female migrant workers were identified as mentally healthy or unhealthy using the brief symptom inventory. Socio-demographic characteristics and migration stress were explored as correlates of the mental health of the migrant workers.

RESULTS

A total of 73 migrant workers could be classified as mentally unhealthy (25% for men and 6% for women). Male migrant workers who were married (OR 6.16, 95% CI 1.83-20.70), manual laborers (OR 1.56, 95% CI 0.97-2.51), and experienced more stress in "financial and employment-related difficulties" (OR 2.75, 95% CI 1.47-5.14) and "interpersonal tensions and conflicts" (OR 4.18, 95% CI 1.55-11.25) were more likely to be mentally unhealthy, whereas the female migrant workers who experienced more stress in "interpersonal tensions and conflicts" (OR 6.52, 95% CI 0.83-51.14) were more likely to have poor mental health.

CONCLUSION

The findings provide information for the prevention of mental illness among migrant workers in China. The implications and limitations are also discussed.

Social stigma and mental health among rural-to-urban migrants in China: A conceptual framework and future research needs

There are over 100 million individuals in China who have migrated from rural villages to urban areas for jobs or better lives without permanent urban residency (i.e., "rural-to-urban migrants"). Our preliminary data from ongoing research among rural-to-urban migrants in China suggest that the migrant population is strongly stigmatized. Moreover, it appears that substantial numbers of these migrants experience mental health symptoms (e.g., depression, anxiety, hostility, social isolation). While the population potentially affected is substantial (more than 9% of the entire population or about one-quarter of the rural labour force in mainland China) and our data seem to indicate that the issue is pervasive in this population, there is limited literature on the topic in China or elsewhere. Therefore, in the current article, we utilize secondary data from public resources (i.e., scientific literature, governmental publications, public media) and our own qualitative data to explore the issues of stigmatization and mental health, to propose a conceptual model for studying the association between the stigmatization and mental health among this population, and to identify some future needs of research in this area.