Effects of Income and Psychological Identification on the Men-tal Health of China’s Migrated Agricultural Population
AbstractAbstractBackground: The Migrated Agricultural Population (MAP) of China continues to increase with the continuous development of urbanization. As MAP is a socially disadvantaged group, their mental health issues require urgent attention.Methods: An ordinary least squares regression model was established by using the newest survey data from the 2016 Chinese General Social Survey. Moreover, the effects of income and psychological identification on the mental health status of China’s MAP were also examined using the Stata 12.0 software. The differences in the examination results under the influence of gender, educational level, and marital factors were compared.Results: The mental health level of China’s MAP is affected by both income and psychological identification. Specifically, income has a more significant influence on men's mental health, whereas psychological identification is more significant for women. The mental health of MAP with spouses or those who received secondary education also reflects the overall characteristics of the sample. By contrast, those without spouses or those who did not receive other forms of education are mainly affected by psychological identification. Additionally, the mental health of the unmarried group is mainly affected by the family’s actual income and subjective well-being based on the psychological identification.Conclusion: The influence of income and psychological identification on the mental health of China’s MAP shows population differences. Therefore, different emphasis should be placed on the interventions of mental health in various groups of MAP. This study can provide decision-making references for the mental health management and psychological pressure counseling of MAP.
Liu YS, Li YH (2017). Revitalize the world's countryside. Nature, 548(7667): 275-7.
McLaughlin K (2016). Sociology. Rural Chi-na is no country for old people. Science, 352(6283): 283.
Cheng Y, Sun YS (2014). A real time-travel, case study of the migrant workers’ mental health. J Guangxi Uni. Nat. (Philos Soc Sci. Ed.), 36(4): 67-72.
Hu HW, Cao Y, Lv W (2011). Mental stress, city adaptation, confiding channels and sexual difference: The comparison of psychological problems of new genera-tion migrant workers between male and female. Youth Studies, 34(3): 76-86.
Yue Z, Li S, Jin X, et al (2013). The role of social networks in the integration of Chi-nese rural-urban migrants, a migrant–resident tie perspective. Urban Studies, 50(9): 1704-23.
Zhou XG, Li LQ (2013). The influence fac-tors and intervention strategies of the so-cial psychological health of the new gen-eration migrant workers. Soc Sci J, 35(2): 74-80.
Liang Z, Ma ZD (2004). China's floating population, new evidence from the 2000 census. Popul Dev Rev, 30(3): 467-488.
Zhang XJ, Zhou LL, Zeng Y (2016). Meas-urement and evaluation on the citizeniza-tion level of migrated agricultural popula-tion. China Soft Sci, 31(10): 37-49.
Kagan S, Koruc Z, Latifoglu G (2017). Comparison of psychological and physi-ological changes of the anxiety in various sports. Revista de Cercetare si Interventie Soci-ala, 56: 44-56.
Kennedy AJ, Maple MJ, Mckay K, et al (2014). Suicide and accidental death in Australia’s rural farming communities, a review of the literature. Rural Remote Health, 14(1): 2517.
Roy P, Tremblay G, Oliffe JL, et al (2013). Male farmers with mental health disor-ders, a scoping review. Aust J Rural Health, 21(1): 3-7.
Zheng L, Tan QP, Xu X (2012). Investiga-tion on mental health and the influencing factors of 1716 migrant workers in Shen-zhen city. Strait J Prev Med, 18(1): 9-11.
Li CQ, He MY, Zhang X (2011). Integrated research of mental health in China’s mi-grant workers. Health Res, 31(4): 267-9.
Huang SL, Hou JW, Zhang M (2015). A cross-temporal meta-analysis of changes in Chinese migrant workers’ mental health, 1995-2011. Acta Psychol Sinica, 47(4): 466-77.
Felix ED, Afifi W (2015). The role of social support on mental health after multiple wildfire disasters. J Commun Psychol, 43(2): 156-70.
Melki IS, Beydoun HA, Khogali M, et al (2004). Household crowding index, a cor-relate of socioeconomic status and inter-pregnancy spacing in an urban setting. J Epidemiol Community Health, 58(6): 476-80.
Roy AL, Godfrey EB (2016). Relationships between family and neighborhood in-come and first-generation latino adults’ depressive symptoms and well-being. J Commun Psychol, 44(7): 856-71.
Musonda MM. The impact of exposure to domestic violence on mental health and well-being of Zambian children in Lusa-ka; socioeconomic status as a modulating factor [PhD thesis]. Southwest University, China; 2016.
Boone MR, Cook SH, Wilson PA (2016). Sexual identity and HIV status influence the relationship between internalized stigma and psychological distress in black gay and bisexual men. Aids Care, 28(6): 764-70.
Gee GC, Morey BN, Walsemann KM, et al (2016). Citizenship as privilege and social identity, implications for psychological distress. AM Behav Sci, 60(5-6) (SI): 680-704.
Schotte K, Stanat P, Edele A (2018). Is inte-gration always most adaptive? The role of cultural identity in academic achievement and in psychological adaptation of immi-grant students in Germany. J Youth Ado-lescence, 47(1): 16-37.
Mazzula SL, Johnson VE, Sant-Barket Rob-erson K (2017). Race-based traumatic stress, racial identity statuses, and psycho-logical functioning, an exploratory inves-tigation. Prof Psychol Res Pr, 48(1): 30-37.
Kucharska J (2015). Feminist identity styles, sexual and non-sexual traumatic events, and psychological well-being in a sample of polish women. J Interpers Violence, 72(1): 1-16.
Waters TEA, Fivush R (2015). Relations be-tween narrative coherence, identity, and psychological well-being in emerging adulthood. J Pers, 83(4): 441-51.
Smeekes A, Verkuyten M, Çelebi E et al (2017). Social identity continuity and men-tal health among syrian refugees in turkey. Soc Psychiatry Psychiatr Epidemio, 52(10): 1317-24.
Zhang L, Wang Y (2013). Analysis on urban integration level and mode for new gen-eration migrants, example from Hang-zhou city. Issues Agr Econ, 33(4): 23-9.