Fan Yang

Dr. Fan Yang

orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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YJYao Jiang
Yao Jiang
HLHuawei Luo
Huawei Luo
FYFan Yang
Fan Yang
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.

FYFan Yang
Fan Yang
YJYao Jiang
Yao Jiang
Employing a national representative survey (the China Labor-force Dynamics Survey 2016, CLDS2016) data (N = 14246), this paper examines the heterogeneous influences of social support on individual physical and mental health in China. Social support is characterized by four dimensions: emotional support, tangible or instrumental support, interaction or exchange support, and community support. Physical health is measured by self-rated health and body mass index (BMI), while mental health is measured by depression, hopelessness, failure, fear, loneliness, and meaninglessness. The results indicate that different dimensions of social support have heterogeneous effects on individual physical and mental health. Specifically, the correlation between emotional support and individual physical health is not significant, but emotional support is significantly related to some mental health variables. Tangible or instrumental support is significantly related to individual self-rated physical health but not to BMI or mental health. Interaction or exchange support is significantly correlated with individual self-rated health and some mental health variables. In general, there are significant correlations between community support, and individual physical and mental health. The results also suggest that the influences of social support on physical and mental health of individuals at different ages (<60 years and ≥60 years) are heterogeneous. The results of this study provide direction for the dimension selection of social support to promote individual health.

28 June 2022 in BMC Geriatrics
Verified
Journal Article
Open access
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YJYao Jiang
Yao Jiang
FYFan Yang
Fan Yang
Background: The internet has become ubiquitous in contemporary human life. However, little is known about the association between internet use and older people’s aging process, especially that of older women. Methods: Using the nationally representative dataset of the China Longitudinal Aging Social Survey 2016, we examined the relationship between internet usage and the successful aging of older Chinese women. The sample in this study consisted of 2713 respondents with an average age of 69.963 years. Successful aging was defined as no major diseases, no disability, high cognitive functioning, high physical functioning, and active engagement with life. Older women’s internet use behavior was represented by internet use frequency. Probit and instrumental variable models were employed to test the association between internet use frequency and successful aging of older women. The Karlson/Holm/Breen (KHB) mediation analysis was used to estimate the mediating effect of social capital on the relationship between internet use frequency and older women’s successful aging. Results: Using a probit model (coefficient = 0.030, p < 0.001) and an instrumental variable probit model (coefficient = 0.287, p < 0.001), it was found that a successful aging status was significantly correlated with an increase in internet use frequency. The functional mechanism analysis suggested that social capital partially mediated the overall association between internet use frequency and successful aging. Conclusions: This study suggests that the more frequently older Chinese women use the internet, the greater the possibility of successful aging. Our findings provide new evidence from China about the determinants of older women’s aging process and aid in formulating targeted aging policies for older women in developing countries and regions.

20 May 2022 in Frontiers in Public Health
Verified
Journal Article
Open access
YJYao Jiang
Yao Jiang
FYFan Yang
Fan Yang
Background: The negative consequences of childbearing on mothers are called the motherhood penalty, and it manifests in the aspects of women's physical and mental health. In May 2021, China relaxed its birth policy that allowed a married couple to have three children. It gives women the opportunity to have more children, but also may increase more risks to mothers' physical and mental health. Objectives: The objectives of this study were to clarify the relationships between the fertility and the physical/mental health of women of childbearing age and empirically confirm the existence of the motherhood health penalty in China. Materials and Methods: Using a nationally representative dataset from the China Labor-force Dynamics Survey 2018, we examined the effects of fertility on the physical and mental health of Chinese women of childbearing age. Physical health was self-rated, and mental health was assessed according to the Center for Epidemiological Studies Depression scale. The instrumental variable approach and the models of inverse probability of treatment weighting of propensity scores and regression adjustment were employed to overcome the endogeneity between fertility and health of women. Results: The empirical results showed that the total number of births had significant adverse impacts on the physical and mental health of women of childbearing age, which empirically demonstrated the existence of the motherhood health penalty in China. The results of heterogeneity analysis indicated that the physical and mental health of the rural women was more easily affected by childbearing compared with that of the urban samples. In a mechanism analysis, the pathways of income and the multiple roles played by mothers were found to mediate the impacts of the total number of births on the physical and mental health of women. The robustness checks showed that the results of this study were robust. Conclusions: The findings of this study extend the motherhood penalty to the health domain, and they have important implications for improving healthcare policy for women of childbearing age in China and other countries and regions and promoting gender equality in the healthcare field.

18 August 2021 in Healthcare
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Journal Article
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FYFan Yang
Fan Yang
YJYao Jiang
Yao Jiang
XPXiaohong Pu
Xiaohong Pu
Research on the effect of work value perception on workers’ health, especially in emerging economies, is scarce. This study, therefore, explored how work value perception affects the physical and mental health of workers in China. We also examined the mediating role of life satisfaction in the relationship between work value perception and health. Taking a random sample of 16,890 individuals in China, we used ordered probit regression and instrumental variable ordered probit regression to test the links between work value perception and workers’ health based on existence, relatedness, and growth (ERG) theory. The results showed that work value perception significantly affected both the physical and mental health of workers; the results remained robust after solving the endogeneity problem. The subsample regression results showed that work value perception significantly affected the physical and mental health of female, male, married, unmarried, religious, and nonreligious workers. Furthermore, life satisfaction mediated the effect of work value perception on workers’ health. These results shed light on the relationship between work value perception and health and thus have implications for improving workers’ physical and mental health. This study can provide a reference for both governmental and corporate policymakers in emerging economies.

1 January 2020 in Ciência Rural
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Journal Article
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FYFan Yang
Fan Yang
YJYao Jiang
Yao Jiang
WZWeizhong Zeng
Weizhong Zeng
We used the data of the China Labor-force Dynamics Survey 2014 to examine the effects of livelihood capitals which include natural, material, human, financial, and social capitals on total household income, per capita income, agricultural income, wage income, operational income, and property income inequality among rural households in China. Results showed that different kinds of livelihood capitals have different effects on different types of rural households’ income. Specifically; (1) although, the area of cultivated land reduces agricultural income inequality, it increases per capita income inequality. (2) Forest land area enlarges per capita income inequality and total household income inequality. (3) Tractor variable reduces inequality in agricultural income and total household income. (4) While reducing the property income inequality, education variable enlarges the wage income inequality, the per capita income inequality and the total household income inequality. (5) Book variable reduces property income inequality. (6) Loan variable increases inequality in agricultural incomes. (7) Party variable reduces the agricultural income inequality. (8) Although, the internet variable increases agricultural income inequality, and property income inequality, it reduces wage income inequality, operational income inequality, per capita income, and total household income inequality.