Frequency of depressive symptoms among female migrant workers in China: associations with acculturation, discrimination, and reproductive health

Lommel, Lisa; Hu, Xuefeng; Sun, Mei; Chen, J.-L.

doi:10.1016/j.puhe.2019.12.006

Cited by 11 publications

(6 citation statements)

References 39 publications

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“…According to a nationwide survey in China in 2018, the prevalence of depressive symptoms among informal and formal employees were 25.5% and 19.3%, respectively [24]. The prevalence of depressive symptoms in other vulnerable populations, such as suicide attempters 60.4% [20], postpartum mothers 30% [25], female migrant workers 25.58% [26], and middle-aged and older Chinese people 18.6% PLOS ONE [27], also supports the case for the relative health of the labor force. However, health inequality still exists in the subpopulations of China's labor force, and is determined by socioeconomic status.…”

Section: Discussionmentioning

confidence: 99%

Depressive symptoms and socioeconomic status among the labor force: Evidence from China’s representative sample

et al. 2022

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Objectives The purpose of this paper is to describe the prevalence of depressive symptoms in the Chinese labor force; to explore the relationship between depressive symptoms and socioeconomic status among the Chinese labor force, including both the structural determinants and the intermediary determinants of health inequities; and to identify vulnerable populations who would benefit from intervention measures. Methods Data were from the China Labor-Force Dynamics Survey (CLDS) 2016. The Center for Epidemiologic Studies Depression Scale (CES-D) was used to assess depressive symptoms. The World Health Organization’s theoretical framework of the social determinants of health was adopted to analyze the relationship between social determinants and depressive symptoms. Results Of the participants in the research from the Chinese labor force, 17.34% were identified as having depressive symptoms. Depression was significantly related to socioeconomic factors such as hukou status (p < 0.05 in the age < 45 model), education (p < 0.01 in all five models), employment (p < 0.05 in the male model), income (p < 0.05 in all five models), and self-assessed social class position (p < 0.01 in all five models). Intermediary factors were also related to depressive symptoms, such as gender (p < 0.001 in the overall model), age (p < 0.05 in the overall model), marriage (p < 0.05 in the female model), occupational exposure (p < 0.01 in the overall model), exercise (p < 0.05 in all five models), and health insurance (p < 0.05 in the overall model). The results showed that low socioeconomic status was associated with an increased risk of depression and there were some gradient changes in the distribution of depressive symptoms in socioeconomic status. Conclusions The findings showed that depression symptoms are significantly related to structural determinants and intermediary determinants in China’s labor force. There are some gradient changes in the distribution of depressive symptoms among people of different socioeconomic status. Low socioeconomic status is associated with increased risk of depression. Women, older people, and single and divorced people are the relative vulnerable groups in China’s labor force.

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Section: Discussionmentioning

confidence: 99%

Depressive symptoms and socioeconomic status among the labor force: Evidence from China’s representative sample

et al. 2022

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“…In general, a female worker is engaged in heavy and risky labor work at a construction site, which indicates that she may originate from a family in straitened circumstances, which requires the female to support the family [ 84 ]. Female construction workers shoulder heavier economic pressure than male workers [ 85 , 86 ]. Under this setting, female migrant construction workers have to ignore environmental risks they are exposed to, such as food and water pollution, and reject acting out of self-precaution and self-protection, as this might increase living costs.…”

Section: Discussionmentioning

confidence: 99%

Influences of Migrant Construction Workers’ Environmental Risk Perception on Their Physical and Mental Health: Evidence from China

Yao

Luo

Yang

2020

IJERPH

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Employing Chinese General Social Survey 2013 data (N = 678), this study examines the influences of migrant construction workers’ environmental risk perception (ERP) on their physical and mental health. The ERP of migrant construction workers is characterized by six dimensions: perceptions of air pollution, industrial waste pollution and noise pollution at working sites, and perceptions of domestic waste pollution, water pollution and food pollution at living sites. The results indicate that migrant construction workers with stronger ERP have better physical and mental health. The results also suggest the influences of ERP on the physical and mental health of migrant construction workers with different gender and age (<50 and ≥50 years) are heterogeneous. Perceptions of industrial waste pollution, noise pollution and domestic waste pollution significantly affect female workers’ physical health, but not that of male workers. The six dimensions of ERP all significantly influence male workers’ mental health, while except for domestic waste pollution perception, the other perceptions do not influence that of female workers. Perceptions of air pollution, domestic waste pollution, and water pollution significantly influence physical health of workers aged 50 and above, while those of ERP do not work on that of workers younger than 50. Perception of food pollution significantly influences mental health of workers younger than 50, but not that of workers aged 50 and above. The seemingly unrelated regression shows the results in this paper are robust.

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“…This study utilized a cross-sectional method to examine the BPHS utilization of married female rural-to-urban migrant workers in Changsha, Hunan province, the People’s Republic of China. Hunan Province, located in central China, has the second largest internal migrant population in China with an estimated 16.8 million in 2013, accounting for about 31% of the adult population [ 26 ]. Changsha is the capital and the most populous city of Hunan Province; in 2016, Changsha had 7,645,200 residents [ 26 ].…”

Section: Methodsmentioning

confidence: 99%

“…Hunan Province, located in central China, has the second largest internal migrant population in China with an estimated 16.8 million in 2013, accounting for about 31% of the adult population [ 26 ]. Changsha is the capital and the most populous city of Hunan Province; in 2016, Changsha had 7,645,200 residents [ 26 ]. The city is an important commercial, manufacturing and transportation center [ 27 ].…”

Section: Methodsmentioning

confidence: 99%

Frequency of basic public health services utilization by married female migrants in China: associations of social support, discrimination and sociodemographic factors

Sun

Tang

et al. 2021

BMC Women's Health

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Background Utilization of basic public health services (BPHS) allows for disease prevention and management and is an essential component for protecting health. Disparities in utilization exist between rural-to-urban migrants and their local counterparts in China. This study sought to determine the frequency of BPHS utilization and whether social support, discrimination, and sociodemographic features were risk factors for low BPHS utilization by Chinese female migrants. Methods Data were derived from a survey of female rural-to-urban migrants at nine work sites in Changsha, China. The association between social support, discrimination, sociodemographic factors and BPHS utilization was obtained using Chi-square and logistic regression analysis. Results Between December 2017 and April 2018, 307 female participants completed the survey. A total of 24.7% reported having had health education, 26.1% had breast and cervical cancer screening, 27.2% had established a health care record, and 40.9% had received basic contraceptive services. Two factors were associated with the reduced likelihood of BPHS utilization: Length of migration and health record establishment (OR = 0.53; 95% CI = 0.31, 0.92) and years of education and basic contraceptive service use (OR = 0.36; 95% CI = 0.20, 0.67). The remaining six factors were associated with an increased likelihood of BPHS utilization: Living circumstances and health record establishment (OR = 2.11; 95% CI = 1.17, 3.80), health education (OR = 2.71; 95% CI = 1.51, 4.87) and cancer screening (OR = 2.38; 95% CI = 1.30, 4.36). Utilization of social support was associated with health record establishment (OR = 1.24; 95% CI = 1.06, 1.44), basic contraceptive service use (OR = 1.21; 95% CI = 1.04, 1.42) and cancer screening (OR = 1.29; 95% CI = 1.10, 1.51). Objective social support was associated with health education utilization (OR = 1.15; 95% CI = 1.04, 1.26), while subjective social support was associated with basic contraceptive service use (OR = 1.11; 95% CI = 1.05, 1.18) and cancer screening (OR = 1.10; 95% CI = 1.02, 1.17). Family location was associated with basic contraceptive service use (OR = 1.96; 95% CI = 1.12, 3.44) and migration time in Changsha was associated with basic contraceptive service use (OR = 2.24; 95% CI = 1.18, 4.27). Conclusions Overall, there was low utilization rate for four BPHS by Chinese female migrants, and social support appears to be an important factor in this setting. Government, community, and workplace education efforts for enhancing BPHS utilization among female rural-to-urban migrants are recommended.

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Frequency of depressive symptoms among female migrant workers in China: associations with acculturation, discrimination, and reproductive health

Cited by 11 publications

References 39 publications

Depressive symptoms and socioeconomic status among the labor force: Evidence from China’s representative sample

Depressive symptoms and socioeconomic status among the labor force: Evidence from China’s representative sample

Influences of Migrant Construction Workers’ Environmental Risk Perception on Their Physical and Mental Health: Evidence from China

Frequency of basic public health services utilization by married female migrants in China: associations of social support, discrimination and sociodemographic factors

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