Frequency of Depression and Correlates Among Chinese Children and Adolescents Living in Poor Areas Under the Background of Targeted Poverty Alleviation: Results of a Survey in Weining County

Overview

Journal BMC Psychiatry

Publisher Biomed Central

Specialty Psychiatry

Date 2023 Nov 8

PMID 37940908

Authors

Xiaofei Yuan

Tingting Hu

Xiaorui Zhu

Sixin Dong

Gang Wang

Xu Chen

Jiaojiao Zhou

Affiliations

Soon will be listed here.

Abstract

Background: There is a lack of epidemiological data on depressive morbidity in children and adolescents in rural China. This study determines the frequency and correlates of depression among children and adolescents to offer useful insights for family education and government policy-making in rural China.

Methods: A cross-sectional online survey was conducted between April 20 to May 10, 2022. Depression was assessed using the Center for Epidemiologic Studies Depression Scale (CES-D), and the correlative factors of depression were analyzed.

Results: In this study, 23,180 children and adolescents were enrolled (median (range) age: 12 (9-18) years); of them, 8,261 (35.6%) suffered from depression with a CES-D score of > 15. The onset of depression was significantly related to age, grade, gender, parental absence, attending key schools or classes, presence of moderate or severe internet addiction (IA), school record, social relationships, parental occupation, and education status. Furthermore, female gender (OR = 1.175; 95% CI: 1.108-1.247; p < 0.001), junior middle school (OR = 1.487; 95% CI: 1.380-1.601; p < 0.001), parental absence (OR = 1.272; 95% CI: 1.183-1.367; p < 0.001), attending key schools (OR = 1.221; 95% CI: 1.120-1.332; p < 0.001), attending key classes (OR = 1.099; 95% CI: 1.001-1.207; p = 0.048), and presence of moderate or above IA (OR = 13.593; 95% CI: 12.028-15.361; p < 0.001) were the most prominent independent factors for depression.

Conclusion: Depression is very common among Chinese children and adolescents living in poor areas of Weining County. Older age, higher school grade, female gender, parental absence, attending key schools or classes, and the presence of moderate to severe IA are some important factors that may dictate the occurrence of depression in these children and adolescents.

References

Yu Y, Luo W, Liu B, Kuang W, Davidson L, Chan C . Poverty transitions in severe mental illness: longitudinal analysis of social drift in China, 1994-2015. Psychol Med. 2021; :1-9. DOI: 10.1017/S0033291721000350. View

Zhao C, Wang F, Li L, Zhou X, Hesketh T . Long-term impacts of parental migration on Chinese children's psychosocial well-being: mitigating and exacerbating factors. Soc Psychiatry Psychiatr Epidemiol. 2017; 52(6):669-677. PMC: 5487538. DOI: 10.1007/s00127-017-1386-9. View

Terrill A, Molton I, Ehde D, Amtmann D, Bombardier C, Smith A . Resilience, age, and perceived symptoms in persons with long-term physical disabilities. J Health Psychol. 2016; 21(5):640-9. DOI: 10.1177/1359105314532973. View

Tang X, Tang S, Ren Z, Wong D . Prevalence of depressive symptoms among adolescents in secondary school in mainland China: A systematic review and meta-analysis. J Affect Disord. 2018; 245:498-507. DOI: 10.1016/j.jad.2018.11.043. View

Wen M, Lin D . Child development in rural China: children left behind by their migrant parents and children of nonmigrant families. Child Dev. 2011; 83(1):120-36. DOI: 10.1111/j.1467-8624.2011.01698.x. View

Tepper P, Liu X, Guo C, Zhai J, Liu T, Li C . Depressive symptoms in Chinese children and adolescents: parent, teacher, and self reports. J Affect Disord. 2008; 111(2-3):291-8. DOI: 10.1016/j.jad.2008.03.013. View

Floros G, Siomos K, Stogiannidou A, Giouzepas I, Garyfallos G . Comorbidity of psychiatric disorders with Internet addiction in a clinical sample: the effect of personality, defense style and psychopathology. Addict Behav. 2014; 39(12):1839-45. DOI: 10.1016/j.addbeh.2014.07.031. View

Kim J, Lau C, Cheuk K, Kan P, Hui H, Griffiths S . Brief report: Predictors of heavy Internet use and associations with health-promoting and health risk behaviors among Hong Kong university students. J Adolesc. 2009; 33(1):215-20. DOI: 10.1016/j.adolescence.2009.03.012. View

Lei X, Sun X, Strauss J, Zhang P, Zhao Y . Depressive symptoms and SES among the mid-aged and elderly in China: evidence from the China Health and Retirement Longitudinal Study national baseline. Soc Sci Med. 2014; 120:224-32. PMC: 4337774. DOI: 10.1016/j.socscimed.2014.09.028. View

10.

Bowlby J . The making and breaking of affectional bonds. I. Aetiology and psychopathology in the light of attachment theory. An expanded version of the Fiftieth Maudsley Lecture, delivered before the Royal College of Psychiatrists, 19 November 1976. Br J Psychiatry. 1977; 130:201-10. DOI: 10.1192/bjp.130.3.201. View

11.

Kessler R, Ormel J, Petukhova M, McLaughlin K, Green J, Russo L . Development of lifetime comorbidity in the World Health Organization world mental health surveys. Arch Gen Psychiatry. 2011; 68(1):90-100. PMC: 3057480. DOI: 10.1001/archgenpsychiatry.2010.180. View

12.

Boyes M, Bowes L, Cluver L, Ward C, Badcock N . Bullying victimisation, internalising symptoms, and conduct problems in South African children and adolescents: a longitudinal investigation. J Abnorm Child Psychol. 2014; 42(8):1313-24. DOI: 10.1007/s10802-014-9888-3. View

13.

McLaughlin K, Breslau J, Green J, Lakoma M, Sampson N, Zaslavsky A . Childhood socio-economic status and the onset, persistence, and severity of DSM-IV mental disorders in a US national sample. Soc Sci Med. 2011; 73(7):1088-96. PMC: 3191493. DOI: 10.1016/j.socscimed.2011.06.011. View

14.

Younes F, Halawi G, Jabbour H, El Osta N, Karam L, Hajj A . Internet Addiction and Relationships with Insomnia, Anxiety, Depression, Stress and Self-Esteem in University Students: A Cross-Sectional Designed Study. PLoS One. 2016; 11(9):e0161126. PMC: 5019372. DOI: 10.1371/journal.pone.0161126. View

15.

Kieling C, Baker-Henningham H, Belfer M, Conti G, Ertem I, Omigbodun O . Child and adolescent mental health worldwide: evidence for action. Lancet. 2011; 378(9801):1515-25. DOI: 10.1016/S0140-6736(11)60827-1. View

16.

Thapar A, Collishaw S, Pine D, Thapar A . Depression in adolescence. Lancet. 2012; 379(9820):1056-67. PMC: 3488279. DOI: 10.1016/S0140-6736(11)60871-4. View

17.

Wagstaff A . Poverty and health sector inequalities. Bull World Health Organ. 2002; 80(2):97-105. PMC: 2567730. View

18.

Tang X, Tang S, Ren Z, Wong D . Psychosocial risk factors associated with depressive symptoms among adolescents in secondary schools in mainland china: A systematic review and meta-analysis. J Affect Disord. 2019; 263:155-165. DOI: 10.1016/j.jad.2019.11.118. View

19.

Chen R, Zhou L . Parental Migration and Psychological Well-Being of Children in Rural China. Int J Environ Res Public Health. 2021; 18(15). PMC: 8345461. DOI: 10.3390/ijerph18158085. View

20.

Zeng J, Jian W . Changes in income-related inequalities of depression prevalence in China: a longitudinal, population study. Soc Psychiatry Psychiatr Epidemiol. 2019; 54(9):1133-1142. DOI: 10.1007/s00127-019-01710-0. View