IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i10p6026-d816290.html
   My bibliography  Save this article

Academic Performance and the Link with Depressive Symptoms among Rural Han and Minority Chinese Adolescents

Author

Listed:
  • Tianli Feng

    (School of Management and Economics, University of Electronic Science and Technology of China, Chengdu 610054, China)

  • Xiyuan Jia

    (School of Public Administration, Northwest University, Xi’an 710069, China)

  • Lucy Pappas

    (Stanford Center on China’s Economy and Institutions, Stanford University, Stanford, CA 94305, USA)

  • Xiaojun Zheng

    (Suide Middle School, Yulin 718000, China)

  • Teresa Shao

    (Stanford Center on China’s Economy and Institutions, Stanford University, Stanford, CA 94305, USA)

  • Letao Sun

    (Stanford Center on China’s Economy and Institutions, Stanford University, Stanford, CA 94305, USA)

  • Charlie Weisberg

    (Stanford Center on China’s Economy and Institutions, Stanford University, Stanford, CA 94305, USA)

  • Madeline Lu Li

    (College of Letters & Science, University of California Santa Barbara, Santa Barbara, CA 93106, USA)

  • Scott Rozelle

    (Stanford Center on China’s Economy and Institutions, Stanford University, Stanford, CA 94305, USA)

  • Yue Ma

    (Stanford Center on China’s Economy and Institutions, Stanford University, Stanford, CA 94305, USA)

Abstract

The objectives of this paper were to examine the risk of depression and depressive symptoms among Han and minority children and adolescents in rural China, the links between academic performance and depressive symptoms, and the prevalence of these links among specific subgroups. A total of 8392 4th, 5th, and 6th grade students at 105 sample rural schools in eight low-income counties and districts in a prefectural-level city in Southwestern China were randomly selected using a three-step sampling strategy. A total of 51% of the sample were female (SD = 0.50), and the age range was 7 to 19 years (mean = 11.35 years; SD = 1.05). Using the Patient Health Questionnaire 8-item depression scale, the prevalence of depressive symptoms in the sample was assessed, while data on students’ academic performance (standardized math test) and demographic characteristics were also collected. Our results show that the rates of major depression were 19% for Han students, 18% for Tibetan students, and 22% for Yi students; the rates of severe depression were 2% for Han and Tibetan students, and 3% for Yi students. Yi students were at significantly higher risks for major and severe depression than Han students. We conducted multivariate regression and heterogeneous analyses. Academic performance was negatively and significantly correlated to depressive symptoms. Across the whole sample, students with lower math scores, minority students, boys, younger students, and students with migrant parents were most vulnerable to depressive symptoms. The heterogeneous analysis suggests that among poor-performing students, subgroups at higher risk for depression include boys, non-boarding students, and students whose mothers had graduated from high school or above. These findings indicate a need to improve mental health outcomes of rural Han and minority primary school students, targeting academic performance for possible intervention.

Suggested Citation

  • Tianli Feng & Xiyuan Jia & Lucy Pappas & Xiaojun Zheng & Teresa Shao & Letao Sun & Charlie Weisberg & Madeline Lu Li & Scott Rozelle & Yue Ma, 2022. "Academic Performance and the Link with Depressive Symptoms among Rural Han and Minority Chinese Adolescents," IJERPH, MDPI, vol. 19(10), pages 1-20, May.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:10:p:6026-:d:816290
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/10/6026/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/10/6026/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yujuan Gao & Derek Hu & Evan Peng & Cody Abbey & Yue Ma & Chyi-In Wu & Chia-Yuan Chang & Wei-Ting Hung & Scott Rozelle, 2020. "Depressive Symptoms and the Link with Academic Performance among Rural Taiwanese Children," IJERPH, MDPI, vol. 17(8), pages 1-15, April.
    2. Hongyan Liu & Yaojiang Shi & Emma Auden & Scott Rozelle, 2018. "Anxiety in Rural Chinese Children and Adolescents: Comparisons across Provinces and among Subgroups," IJERPH, MDPI, vol. 15(10), pages 1-14, September.
    3. Mi Zhou & Guangsheng Zhang & Scott Rozelle & Kaleigh Kenny & Hao Xue, 2018. "Depressive Symptoms of Chinese Children: Prevalence and Correlated Factors among Subgroups," IJERPH, MDPI, vol. 15(2), pages 1-10, February.
    4. Yue Ma & Robert W. Fairlie & Prashant Loyalka & Scott Rozelle, 2020. "Isolating the "Tech" from EdTech: Experimental Evidence on Computer Assisted Learning in China," CESifo Working Paper Series 8186, CESifo.
    5. Prashant Loyalka & Sean Sylvia & Chengfang Liu & James Chu & Yaojiang Shi, 2019. "Pay by Design: Teacher Performance Pay Design and the Distribution of Student Achievement," Journal of Labor Economics, University of Chicago Press, vol. 37(3), pages 621-662.
    6. Satvika Chalasani, 2007. "The changing relationship between parents’ education and their time with children," electronic International Journal of Time Use Research, Research Institute on Professions (Forschungsinstitut Freie Berufe (FFB)) and The International Association for Time Use Research (IATUR), vol. 4(1), pages 93-117, September.
    7. Chen, Qihui & Chen, Yu & Zhao, Qiran, 2020. "Impacts of boarding on primary school students’ mental health outcomes – Instrumental-Variable evidence from rural northwestern China," Economics & Human Biology, Elsevier, vol. 39(C).
    8. Chu, Jessica Hsiaochieh & Loyalka, Prashant & Chu, James & Qu, Qinghe & Shi, Yaojiang & Li, Guirong, 2015. "The impact of teacher credentials on student achievement in China," China Economic Review, Elsevier, vol. 36(C), pages 14-24.
    9. Arusha, Anowara Rayhan & Biswas, Raaj Kishore, 2020. "Prevalence of stress, anxiety and depression due to examination in Bangladeshi youths: A pilot study," Children and Youth Services Review, Elsevier, vol. 116(C).
    10. Prashant Loyalka & Anna Popova & Guirong Li & Zhaolei Shi, 2019. "Does Teacher Training Actually Work? Evidence from a Large-Scale Randomized Evaluation of a National Teacher Training Program," American Economic Journal: Applied Economics, American Economic Association, vol. 11(3), pages 128-154, July.
    11. Jonathan Guryan & Erik Hurst & Melissa Kearney, 2008. "Parental Education and Parental Time with Children," Journal of Economic Perspectives, American Economic Association, vol. 22(3), pages 23-46, Summer.
    12. Stanislav Kolenikov & Gustavo Angeles, 2009. "Socioeconomic Status Measurement With Discrete Proxy Variables: Is Principal Component Analysis A Reliable Answer?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(1), pages 128-165, March.
    13. Li, Lili & Huang, Lei & Shi, Yaojiang & Luo, Renfu & Yang, Meredith & Rozelle, Scott, 2018. "Anemia and student's educational performance in rural Central China: Prevalence, correlates and impacts," China Economic Review, Elsevier, vol. 51(C), pages 283-293.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chang, Fang & Wang, Huan & Qu, Yaqiong & Zheng, Qiang & Loyalka, Prashant & Sylvia, Sean & Shi, Yaojiang & Dill, Sarah-Eve & Rozelle, Scott, 2020. "The impact of pay-for-percentile incentive on low-achieving students in rural China," Economics of Education Review, Elsevier, vol. 75(C).
    2. Garey Ramey & Valerie A. Ramey, 2010. "The Rug Rat Race," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 41(1 (Spring), pages 129-199.
    3. Chengfang Liu & Ye Li & Shaoping Li & Renfu Luo & Linxiu Zhang & Scott Rozelle & Spencer Hagist & Jack Hou, 2020. "The returns to education in rural China: Some new estimates," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(1), pages 189-208, January.
    4. Christina Boll & Julian Leppin & Nora Reich, 2014. "Paternal childcare and parental leave policies: evidence from industrialized countries," Review of Economics of the Household, Springer, vol. 12(1), pages 129-158, March.
    5. Hashimzade, Nigar, 2020. "Endogenous preferences for parenting and macroeconomic outcomes," Journal of Economic Behavior & Organization, Elsevier, vol. 172(C), pages 267-279.
    6. Qi Jiang & Xinshu She & Sarah-Eve Dill & Sean Sylvia & Manpreet Kaur Singh & Huan Wang & Matthew Boswell & Scott Rozelle, 2022. "Depressive and Anxiety Symptoms among Children and Adolescents in Rural China: A Large-Scale Epidemiological Study," IJERPH, MDPI, vol. 19(9), pages 1-16, April.
    7. Yujuan Gao & Derek Hu & Evan Peng & Cody Abbey & Yue Ma & Chyi-In Wu & Chia-Yuan Chang & Wei-Ting Hung & Scott Rozelle, 2020. "Depressive Symptoms and the Link with Academic Performance among Rural Taiwanese Children," IJERPH, MDPI, vol. 17(8), pages 1-15, April.
    8. Guirong Li & Jiajia Xu & Liying Li & Zhaolei Shi & Hongmei Yi & James Chu & Elena Kardanova & Yanyan Li & Prashant Loyalka & Scott Rozelle, 2020. "The Impacts of Highly Resourced Vocational Schools on Student Outcomes in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 28(6), pages 125-150, November.
    9. Elizabeth M. Caucutt & Lance Lochner & Youngmin Park, 2017. "Correlation, Consumption, Confusion, or Constraints: Why Do Poor Children Perform so Poorly?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 119(1), pages 102-147, January.
    10. Haegeland, Torbjørn & Kirkeboen, Lars & Raaum, Oddbjørn & Salvanes, Kjell G., 2010. "Why Children of College Graduates Outperform their Schoolmates: A Study of Cousins and Adoptees," IZA Discussion Papers 5369, Institute of Labor Economics (IZA).
    11. Amin, Vikesh & Lundborg, Petter & Rooth, Dan-Olof, 2015. "The intergenerational transmission of schooling: Are mothers really less important than fathers?," Economics of Education Review, Elsevier, vol. 47(C), pages 100-117.
    12. Paschalis Arvanitidis & Athina Economou & Christos Kollias, 2016. "Terrorism’s effects on social capital in European countries," Public Choice, Springer, vol. 169(3), pages 231-250, December.
    13. Inyoung Park & Jieon Lee & Jungwoo Nam & Yuri Jo & Daeho Lee, 2022. "Which networking strategy improves ICT startup companies' technical efficiency?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 2434-2443, September.
    14. Bratti, Massimiliano & Mendola, Mariapia, 2014. "Parental health and child schooling," Journal of Health Economics, Elsevier, vol. 35(C), pages 94-108.
    15. Shen, Ke & Zeng, Yi, 2014. "Direct and indirect effects of childhood conditions on survival and health among male and female elderly in China," Social Science & Medicine, Elsevier, vol. 119(C), pages 207-214.
    16. Alessandro Gavazza & Mattia Nardotto & Tommaso Valletti, 2019. "Internet and Politics: Evidence from U.K. Local Elections and Local Government Policies," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(5), pages 2092-2135.
    17. Blimpo, Moussa P. & Pugatch, Todd, 2021. "Entrepreneurship education and teacher training in Rwanda," Journal of Development Economics, Elsevier, vol. 149(C).
    18. Aguiar, M. & Hurst, E., 2016. "The Macroeconomics of Time Allocation," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 203-253, Elsevier.
    19. Brown, Joe & Hamoudi, Amar & Jeuland, Marc & Turrini, Gina, 2017. "Seeing, believing, and behaving: Heterogeneous effects of an information intervention on household water treatment," Journal of Environmental Economics and Management, Elsevier, vol. 86(C), pages 141-159.
    20. Xihe Zhu & Justin A. Haegele & Huarong Liu & Fangliang Yu, 2021. "Academic Stress, Physical Activity, Sleep, and Mental Health among Chinese Adolescents," IJERPH, MDPI, vol. 18(14), pages 1-9, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:10:p:6026-:d:816290. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.