IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v15y2018i4p655-d139100.html
   My bibliography  Save this article

A Comparative Study of Behavior Problems among Left-Behind Children, Migrant Children and Local Children

Author

Listed:
  • Hongwei Hu

    (School of Public Administration and Policy, Renmin University of China, No. 59, Zhongguancun Street, Haidian District, Beijing 100872, China
    They are the co-first authors.)

  • Jiamin Gao

    (Institute of Population Research, Peking University, No. 5, Yiheyuan Road, Haidian District, Beijing 100871, China)

  • Haochen Jiang

    (School of Humanities and Social Sciences, North China Electric Power University, No. 689, Huadian Road, Lianchi District, Baoding 071003, China)

  • Haixia Jiang

    (Institute of Population Research, Peking University, No. 5, Yiheyuan Road, Haidian District, Beijing 100871, China
    They are the co-first authors.)

  • Shaoyun Guo

    (School of Humanities and Social Sciences, North China Electric Power University, No. 689, Huadian Road, Lianchi District, Baoding 071003, China)

  • Kun Chen

    (School of Humanities and Social Sciences, North China Electric Power University, No. 689, Huadian Road, Lianchi District, Baoding 071003, China)

  • Kaili Jin

    (School of Humanities and Social Sciences, North China Electric Power University, No. 689, Huadian Road, Lianchi District, Baoding 071003, China)

  • Yingying Qi

    (School of Humanities and Social Sciences, North China Electric Power University, No. 689, Huadian Road, Lianchi District, Baoding 071003, China)

Abstract

This study aims to estimate the prevalence of behavioral problems among left-behind children, migrant children and local children in China, and to compare the risks of behavioral problems among the three types of children. Data on 4479 children aged 6–16 used in this study were from a survey conducted in China in 2017. The school-age version of the Children Behavior Checklist was used to measure children’s behavioral problems. Descriptive analysis, correlation analysis, and logistic regressions were conducted. The prevalence of behavioral problems was 18.80% and 13.59% for left-behind children and migrant children, respectively, both of which were higher than that of local children. Logistic regression analysis showed that after adjustments for individual and environmental variables, the likelihood of total, internalizing and externalizing behavior problems for left-behind children and migrant children were higher than those for local children; left-behind children had a higher likelihood of internalizing problems than externalizing problems, while migrant children had a higher prevalence of externalizing problems. Left-behind children had a higher prevalence of each specific syndrome than migrant and local children. Both individual and environmental factors were associated with child behavioral problems, and family migration may contribute to the increased risks. Left-behind and migrant children were more vulnerable than local children to behavioral problems.

Suggested Citation

  • Hongwei Hu & Jiamin Gao & Haochen Jiang & Haixia Jiang & Shaoyun Guo & Kun Chen & Kaili Jin & Yingying Qi, 2018. "A Comparative Study of Behavior Problems among Left-Behind Children, Migrant Children and Local Children," IJERPH, MDPI, vol. 15(4), pages 1-15, April.
  • Handle: RePEc:gam:jijerp:v:15:y:2018:i:4:p:655-:d:139100
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/15/4/655/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/15/4/655/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chang, Hongqin & Dong, Xiao-yuan & MacPhail, Fiona, 2011. "Labor Migration and Time Use Patterns of the Left-behind Children and Elderly in Rural China," World Development, Elsevier, vol. 39(12), pages 2199-2210.
    2. Hu, Hongwei & Lu, Shuang & Huang, Chien-Chung, 2014. "The psychological and behavioral outcomes of migrant and left-behind children in China," Children and Youth Services Review, Elsevier, vol. 46(C), pages 1-10.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jing Luo & Jiaojiao Zou & Meimei Ji & Tong Yuan & Mei Sun & Qian Lin, 2019. "Emotional and Behavioral Problems Among 3- to 5-Year-Olds Left-Behind Children in Poor Rural Areas of Hunan Province: A Cross-Sectional Study," IJERPH, MDPI, vol. 16(21), pages 1-12, October.
    2. Khatia Antia & Johannes Boucsein & Andreas Deckert & Peter Dambach & Justina Račaitė & Genė Šurkienė & Thomas Jaenisch & Olaf Horstick & Volker Winkler, 2020. "Effects of International Labour Migration on the Mental Health and Well-Being of Left-Behind Children: A Systematic Literature Review," IJERPH, MDPI, vol. 17(12), pages 1-17, June.
    3. Shaheen, Zubaida & Akhtar, Tanvir & Khan, Muhammad Waris Saeed, 2023. "Family functioning and behavioral problems among left-behind adolescent: Self-esteem as a mediator and mother nurturance as a moderator," Children and Youth Services Review, Elsevier, vol. 155(C).
    4. Wenjie Duan & Xinhang Yu & Xiaoqing Tang, 2023. "“Humor A B C” Program: Specific Strength Intervention in Facilitating the Positive Development of Left-Behind Children," Journal of Happiness Studies, Springer, vol. 24(4), pages 1605-1624, April.
    5. Li, Fu-Wei & Jhang, Fang-Hua, 2023. "Controllable negative life events, family cohesion, and externalizing problems among rural and migrant children in China: A moderated mediation model," Children and Youth Services Review, Elsevier, vol. 147(C).
    6. Carlos Herruzo & Antonio Raya Trenas & María J. Pino & Javier Herruzo, 2020. "Study of the Differential Consequences of Neglect and Poverty on Adaptive and Maladaptive Behavior in Children," IJERPH, MDPI, vol. 17(3), pages 1-12, January.
    7. Jingjing Lu & Minmin Jiang & Lu Li & Therese Hesketh, 2019. "Relaxation in the Chinese Hukou System: Effects on Psychosocial Wellbeing of Children Affected by Migration," IJERPH, MDPI, vol. 16(19), pages 1-9, October.
    8. Haoyang Zhang & Jennifer E. Glick, 2024. "Internal Migration: Understanding Parent–Child Differences in Educational Expectations," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 43(2), pages 1-26, April.
    9. Weigang Pan & Baixue Gao & Yihong Long & Yue Teng & Tong Yue, 2021. "Effect of Caregivers’ Parenting Styles on the Emotional and Behavioral Problems of Left-Behind Children: The Parallel Mediating Role of Self-Control," IJERPH, MDPI, vol. 18(23), pages 1-14, December.
    10. Jinkai Li, 2023. "A Scoping Review of Internal Migration and Left-behind Children's Wellbeing in China," Papers 2305.04348, arXiv.org.
    11. Chi Zhou & Qiaohong Lv & Nancy Yang & Feng Wang, 2021. "Left-Behind Children, Parent-Child Communication and Psychological Resilience: A Structural Equation Modeling Analysis," IJERPH, MDPI, vol. 18(10), pages 1-10, May.

    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. Cadsby, C. Bram & Song, Fei & Yang, Xiaolan, 2020. "Are “left-behind” children really left behind? A lab-in-field experiment concerning the impact of rural/urban status and parental migration on children's other-regarding preferences," Journal of Economic Behavior & Organization, Elsevier, vol. 179(C), pages 715-728.
    2. Yue Zhang & Xiaodong Zheng, 2022. "Internal migration and child health: An investigation of health disparities between migrant children and left-behind children in China," PLOS ONE, Public Library of Science, vol. 17(3), pages 1-15, March.
    3. Ma, Haoling & Li, Dexian & Zhu, Xingchen, 2023. "Effects of parental involvement and family socioeconomic status on adolescent problem behaviors in China," International Journal of Educational Development, Elsevier, vol. 97(C).
    4. Chenxi Liu & Fan Wang & Xihong Gao & Harry Smith, 2021. "Exploring Solutions to Improve the Evaluation of Development of Rural Villages: A Case Study of the Application of the Evaluation for the Construction of Beautiful Villages (ECBV) in a Village in Sout," Sustainability, MDPI, vol. 13(2), pages 1-23, January.
    5. Li Lin & Daniel T. L. Shek & Xiang Li, 2023. "Who benefits and appreciates more? An evaluation of Online Service-Learning Projects in Mainland China during the COVID-19 pandemic," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 18(2), pages 625-646, April.
    6. Yang, Banglin & Xiong, Cancan & Huang, Jin, 2021. "Parental emotional neglect and left-behind children’s externalizing problem behaviors: The mediating role of deviant peer affiliation and the moderating role of beliefs about adversity," Children and Youth Services Review, Elsevier, vol. 120(C).
    7. Xie, Xiaoxia & Huang, Chien-Chung & Chen, Yafan & Hao, Feng, 2019. "Intelligent robots and rural children," Children and Youth Services Review, Elsevier, vol. 100(C), pages 283-290.
    8. Zheng Mu & Wei-Jun Jean Yeung, 2018. "For Money or for a Life: A Mixed-Method Study on Migration and Time Use in China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 139(1), pages 347-379, August.
    9. Lyuci Zhang & Samsilah Roslan & Zeinab Zaremohzzabieh & Yuqin Jiang & Sumei Wu & Ye Chen, 2022. "Perceived Stress, Social Support, Emotional Intelligence, and Post-Stress Growth among Chinese Left-Behind Children: A Moderated Mediation Model," IJERPH, MDPI, vol. 19(3), pages 1-13, February.
    10. Sylvie Démurger & Shi Li, 2013. "Migration, Remittances, and Rural Employment Patterns: Evidence from China," Research in Labor Economics, in: Labor Market Issues in China, pages 31-63, Emerald Group Publishing Limited.
    11. Yuwen Lyu & Julian Chun-Chung Chow & Ji-Jen Hwang & Zhi Li & Cheng Ren & Jungui Xie, 2022. "Psychological Well-Being of Left-Behind Children in China: Text Mining of the Social Media Website Zhihu," IJERPH, MDPI, vol. 19(4), pages 1-13, February.
    12. Patricia Justino & Olga Shemyakina, 2012. "Remittances and labor supply in post-conflict Tajikistan," IZA Journal of Labor & Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 1(1), pages 1-28, December.
    13. repec:hal:wpaper:halshs-00744438 is not listed on IDEAS
    14. de Brauw, Alan & Kramer, Berber & Murphy, Mike, 2021. "Migration, labor and women’s empowerment: Evidence from an agricultural value chain in Bangladesh," World Development, Elsevier, vol. 142(C).
    15. Kseniia Gatskova & Artjoms Ivlevs & Barbara Dietz, 2019. "Can Labor Emigration Affect the Education of Girls? Evidence from Tajikistan," Feminist Economics, Taylor & Francis Journals, vol. 25(3), pages 96-118, July.
    16. Xinxin Wang & Shidan Xu & Yubo Zhuo & Julian Chun-Chung Chow, 2023. "Higher Income but Lower Happiness with Left-Behind Experience? A Study of Long-Term Effects for China’s Migrants," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 18(1), pages 411-434, February.
    17. Zhang, Ruiping & Qiu, Zeguo & Li, Yajun & Liu, Lihong & Zhi, Suhua, 2021. "Teacher support, peer support, and externalizing problems among left-behind children in rural China: Sequential mediation by self-esteem and self-control," Children and Youth Services Review, Elsevier, vol. 121(C).
    18. Kseniia Gatskova & Artjoms Ivlevs & Barbara Dietz, 2017. "Does migration affect education of girls and young women in Tajikistan?," WIDER Working Paper Series 104, World Institute for Development Economic Research (UNU-WIDER).
    19. Leena Bhattacharya, 2019. "Short-Term Migration and Children’s School Attendance: Evidence from Rural India," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 62(4), pages 659-691, December.
    20. Weiming Tong & Kevin Lo, 2021. "Back to the Countryside: Rural Development and the Spatial Patterns of Population Migration in Zhejiang, China," Agriculture, MDPI, vol. 11(8), pages 1-15, August.
    21. Lijuan Xu & Abbas Ali Chandio & Jingyi Wang & Yuansheng Jiang, 2022. "Does Farmland Tenancy Improve Household Asset Allocation? Evidence from Rural China," Land, MDPI, vol. 12(1), pages 1-22, December.

    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:15:y:2018:i:4:p:655-:d:139100. 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.