Community-Based Intervention to Improve the Well-Being of Children Left Behind by Migrant Parents in Rural China

Int J Environ Res Public Health. 2020 Oct 2;17(19):7218. doi: 10.3390/ijerph17197218.

Abstract

In rural China around 60 million left-behind children (LBC) experience prolonged separation from migrant worker parents. They are vulnerable to a range of psychosocial problems. The aim of this study was to determine whether a community-based intervention consisting of Children's Centres can improve psychosocial well-being and school performance of these children. The intervention was carried out in 20 villages, for children aged 7 to 15 years, irrespective of left-behind status. Nine hundred and twenty children, 438 LBC and 256 children living with parents (RC) attended the Centres. At follow-up after one year, there were improvements compared to baseline in total difficulties (measured with the Strengths and Difficulties Questionnaire) in children left behind by both parents (p = 0.009), children left behind by one parent (p = 0.008) and RC (p = 0.05). Postintervention school performance significantly improved in both categories of LBC (p < 0.001), but not RC (p = 0.07); social support score increased in both categories of LBC (p < 0.001) and RC (p = 0.01). Findings from interviews with key stakeholders were overwhelmingly positive about the impacts. With strong local leadership and community motivation, a low-cost intervention can improve children's psychosocial well-being in these settings. Allowing communities to adapt the model to their own situation fosters local ownership, commitment, with benefits for children, parents, carers, and communities.

Keywords: China; Strengths and Difficulties Questionnaire (SDQ); community-based intervention; externalizing problems; internalizing problems; left-behind children; psychosocial well-being; rural children; school performance.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Caregivers
  • Child
  • China
  • Female
  • Humans
  • Male
  • Residence Characteristics
  • Rural Population*
  • Surveys and Questionnaires
  • Transients and Migrants*