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

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  • Wenjie Duan

    (Shenzhen University)

  • Yujia Fei

    (Wuhan University)

  • Xiaoqing Tang

    (Zhongnan University of Economics and Law)

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.

Suggested Citation

  • Wenjie Duan & Yujia Fei & Xiaoqing Tang, 2020. "Latent Profiles and Grouping Effects of Resilience on Mental Health among Poor Children and Adolescents," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 13(2), pages 635-655, April.
    • Handle: RePEc:spr:chinre:v:13:y:2020:i:2:d:10.1007_s12187-019-09637-3
    DOI: 10.1007/s12187-019-09637-3
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    1. Venkatram Ramaswamy & Wayne S. Desarbo & David J. Reibstein & William T. Robinson, 1993. "An Empirical Pooling Approach for Estimating Marketing Mix Elasticities with PIMS Data," Marketing Science, INFORMS, vol. 12(1), pages 103-124.
    2. Wenjie Duan & He Bu & Jinli Zhao & Xiaolong Guo, 2019. "Examining the Mediating Roles of Strengths Knowledge and Strengths Use in a 1-Year Single-Session Character Strength-Based Cognitive Intervention," Journal of Happiness Studies, Springer, vol. 20(6), pages 1673-1688, August.
    3. James J. Heckman & Dimitriy V. Masterov, 2007. "The Productivity Argument for Investing in Young Children ," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 29(3), pages 446-493.
    4. Sarkar, Kaushik & Dasgupta, Aparajita & Sinha, Multipada & Shahbabu, Bhaskar, 2017. "Effects of health empowerment intervention on resilience of adolescents in a tribal area: A study using the Solomon four-groups design," Social Science & Medicine, Elsevier, vol. 190(C), pages 265-274.
    5. Stanley Sclove, 1987. "Application of model-selection criteria to some problems in multivariate analysis," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 333-343, September.
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    Cited by:

    1. Yi Wang & Ronnel King & Shing On Leung, 2023. "Understanding Chinese Students' Well-Being: A Machine Learning Study," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 16(2), pages 581-616, April.
    2. Xiaoyu Lan & Chunhua Ma & Yongfeng Ma, 2021. "A Person-Centered Investigation of Adolescent Psychosocial and Academic Adjustment: the Role of Peer Attachment and Zhong-Yong Thinking," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 14(4), pages 1479-1500, August.

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