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Social capital and adolescent smoking in schools and communities: A cross-classified multilevel analysis

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  • De Clercq, Bart
  • Pfoertner, Timo-Kolja
  • Elgar, Frank J.
  • Hublet, Anne
  • Maes, Lea

Abstract

We sought to determine whether social capital at the individual-, school- and community-level can explain variance in adolescent smoking and accounts for social inequalities in smoking. We collected data as part of the 2005/6 Health Behavior in School-aged Children survey, a nationally representative survey of the health and well-being of high school pupils in Belgium (Flanders). Social capital was assessed by structural and cognitive components of family social capital, a four-factor school social capital scale and a cognitive community social capital scale. We fitted non-hierarchical multilevel models to the data, with 8453 adolescents nested within a cross-classification of 167 schools and 570 communities. Significant variation in adolescent regular smoking was found between schools, but not between communities. Only structural family social capital and cognitive school social capital variables negatively related to regular smoking. No interactions between socio-economic status and social capital variables were found. Our findings suggest that previously observed community-level associations with adolescent smoking may be a consequence of unmeasured confounding. Distinguishing nested contexts of social capital is important because their associations with smoking differ.

Suggested Citation

  • De Clercq, Bart & Pfoertner, Timo-Kolja & Elgar, Frank J. & Hublet, Anne & Maes, Lea, 2014. "Social capital and adolescent smoking in schools and communities: A cross-classified multilevel analysis," Social Science & Medicine, Elsevier, vol. 119(C), pages 81-87.
    • Handle: RePEc:eee:socmed:v:119:y:2014:i:c:p:81-87
    DOI: 10.1016/j.socscimed.2014.08.018
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    2. Gina Martin & Joanna Inchley & Candace Currie, 2019. "Do Drinking Motives Mediate the Relationship between Neighborhood Characteristics and Alcohol Use among Adolescents?," IJERPH, MDPI, vol. 16(5), pages 1-19, March.
    3. Humphrey, Jamie L. & Root, Elisabeth D., 2017. "Spatio-temporal neighborhood impacts on internalizing and externalizing behaviors in U.S. elementary school children: Effect modification by child and family socio-demographics," Social Science & Medicine, Elsevier, vol. 180(C), pages 52-61.
    4. Sophie D. Walsh & Zlata Bruckauf & Tania Gaspar & UNICEF Innocenti Research Centre, 2016. "Adolescents at Risk: Psychosomatic health complaints, low life satisfaction, excessive sugar consumption and their relationship with cumulative risks," Papers inwopa844, Innocenti Working Papers.
    5. Bart De Clercq & Els Clays & Heidi Janssens & Dirk De Bacquer & Annalisa Casini & France Kittel & Lutgart Braeckman, 2015. "Health Behaviours As a Mechanism in the Prospective Relation between Workplace Reciprocity and Absenteeism: A Bridge too Far ?," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-13, November.
    6. Maïté Verloigne & Teatske Maria Altenburg & Mai Jeanette Maidy Chinapaw & Sebastien Chastin & Greet Cardon & Ilse De Bourdeaudhuij, 2017. "Using a Co-Creational Approach to Develop, Implement and Evaluate an Intervention to Promote Physical Activity in Adolescent Girls from Vocational and Technical Schools: A Case Control Study," IJERPH, MDPI, vol. 14(8), pages 1-19, August.
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    8. Bruckauf, Zlata & Walsh, Sophie D., 2018. "Adolescents' multiple and individual risk behaviors: Examining the link with excessive sugar consumption across 26 industrialized countries," Social Science & Medicine, Elsevier, vol. 216(C), pages 133-141.

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