Latent Profiles and Grouping Effects of Resilience on Mental Health among Poor Children and Adolescents

Abstract

This study aims to examine the psychometric properties and grouping effect of the Resilience Style Questionnaire (RSQ) among Chinese poor children and adolescents. A cross-sectional survey of resilience and other variables (i.e. mental well-being, loneliness, anxiety, depression, stress and peer relationship) was conducted among 2267 participants aged 12 to 17. Results found that the RSQ had good factor structure and criterion validities. Resilience was positively related to mental well-being and peer relationship, and negatively related to loneliness, anxiety, depression, and stress. The RSQ was a useful screening tool to differentiate individuals with different levels of resilience related to health outcomes. At-risk individuals reported more health problems and poorer peer relationships than others. The results suggested that the RSQ could be applied in practice for resilience interventions among poor children and adolescents in China.

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Change history

  • 08 July 2019

    The original version of this article unfortunately contains incorrect affiliation of the corresponding author. The corrected affiliation is presented below. Social and Public Administration School, East China University of Science and Technology, Shanghai, People’s Republic of China.

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Acknowledgements

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: National Social Science Fund - Youth Project (No. 17CSH073), 2018 Young Visiting Scholars Program of China Scholarship Council, and the Fundamental Research Funds for the Central Universities (Program No. 2722019PY059).

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Duan, W., Fei, Y. & Tang, X. Latent Profiles and Grouping Effects of Resilience on Mental Health among Poor Children and Adolescents. Child Ind Res 13, 635–655 (2020). https://doi.org/10.1007/s12187-019-09637-3

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Keywords

  • Resilience
  • Mental health
  • Peer relationship
  • Poverty
  • Latent profile analysis