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Contextual antecedents and well‐being indicators associated with children's and adolescents' access to supportive nonparent adults.

  • Published In: Journal of Community Psychology, 2023, v. 51, n. 8. P. 3328 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Hagler, Matthew A.; Poon, Cyanea Y. S. 3 of 3

Abstract

The aim of this study was to examine contextual antecedents and well‐being indicators associated with children's and adolescents' access to supportive nonparent adults (SNPAs). We conducted secondary data analysis of the 2016 National Survey of Children's Health, a large‐scale caregiver‐reported survey. We analyzed separate subsamples of children (ages 6–11, n = 12,849) and adolescents (ages 12–17, n = 17,628). For both children and adolescents, markers of social advantage (e.g., White race, nonimmigrant families, neighborhood/community capital, access to extracurriculars) increased the likelihood of having SNPAs, according to parent or caregiver reports. Familial factors (e.g., parent participation in school and extracurricular activities) were stronger predictors of SNPA presence for children. Access to SNPAs was negatively associated with social difficulties among children and adolescents and positively associated with curiosity and overall health among adolescents. In conclusion, disadvantage across multiple ecological levels impairs children's and adolescents' access to SNPAs. Having an SNPA may be associated with some aspects of youth well‐being, although causality cannot be inferred in cross‐sectional data. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Community Psychology. 2023/11, Vol. 51, Issue 8, p3328
  • Document Type:Article
  • Subject Area:Education
  • Publication Date:2023
  • ISSN:0090-4392
  • DOI:10.1002/jcop.23016
  • Accession Number:172875143
  • Copyright Statement:Copyright of Journal of Community Psychology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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