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Developing Health Lifestyle Pathways and Social Inequalities Across Early Childhood

Author

Listed:
  • Stefanie Mollborn

    (University of Colorado Boulder)

  • Elizabeth Lawrence

    (University of Nevada-Las Vegas)

  • Patrick M. Krueger

    (University of Colorado Denver)

Abstract

Lifestyles are a long-theorized aspect of social inequalities that root individual behaviors in social group differences. Although the health lifestyle construct is an important advance for understanding social inequalities and health behaviors, research has not theorized or investigated the longitudinal development of health lifestyles from infancy through the transition to school. This study documented children’s longitudinal health lifestyle pathways, articulated and tested a theoretical framework of health lifestyle development in early life, and assessed associations with kindergarten cognition, socioemotional behavior, and health. Latent class analyses identified health lifestyle pathways using the US Early Childhood Longitudinal Study—Birth Cohort (ECLS-B; N ≈ 6550). Children’s health lifestyle pathways were complex, combining healthier and unhealthier behaviors and changing with age. Social background prior to birth was associated with health lifestyle pathways, as were parents’ resources, health behaviors, and nonhealth-focused parenting. Developing health lifestyle pathways were related to kindergarten cognition, behavior, and health net of social background and other parent influences. Thus, family context is important for the development of complex health lifestyle pathways across early childhood, which have implications for school preparedness and thus for social inequalities and well-being throughout life. Developing health lifestyles both reflect and reproduce social inequalities across generations.

Suggested Citation

  • Stefanie Mollborn & Elizabeth Lawrence & Patrick M. Krueger, 2021. "Developing Health Lifestyle Pathways and Social Inequalities Across Early Childhood," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 40(5), pages 1085-1117, October.
    • Handle: RePEc:kap:poprpr:v:40:y:2021:i:5:d:10.1007_s11113-020-09615-6
    DOI: 10.1007/s11113-020-09615-6
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    References listed on IDEAS

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    1. Christensen, Vibeke T. & Carpiano, Richard M., 2014. "Social class differences in BMI among Danish women: Applying Cockerham's health lifestyles approach and Bourdieu's theory of lifestyle," Social Science & Medicine, Elsevier, vol. 112(C), pages 12-21.
    2. Alberto Palloni, 2006. "Reproducing inequalities: Luck, wallets, and the enduring effects of childhood health," Demography, Springer;Population Association of America (PAA), vol. 43(4), pages 587-615, November.
    3. Vermunt, Jeroen K., 2010. "Latent Class Modeling with Covariates: Two Improved Three-Step Approaches," Political Analysis, Cambridge University Press, vol. 18(4), pages 450-469.
    4. Lawrence, Elizabeth M. & Mollborn, Stefanie & Hummer, Robert A., 2017. "Health lifestyles across the transition to adulthood: Implications for health," Social Science & Medicine, Elsevier, vol. 193(C), pages 23-32.
    5. Patrick M. Krueger & Tajudaullah Bhaloo & Pauline Vaillancourt Rosenau, 2009. "Health Lifestyles in the United States and Canada: Are We Really So Different?," Social Science Quarterly, Southwestern Social Science Association, vol. 90(5), pages 1380-1402, December.
    6. Abel, Thomas, 1991. "Measuring health lifestyles in a comparative analysis: Theoretical issues and empirical findings," Social Science & Medicine, Elsevier, vol. 32(8), pages 899-908, January.
    7. Goosby, Bridget J. & Cheadle, Jacob E. & McDade, Thomas, 2016. "Birth weight, early life course BMI, and body size change: Chains of risk to adult inflammation?," Social Science & Medicine, Elsevier, vol. 148(C), pages 102-109.
    8. Barr, Ashley Brooke, 2015. "Family socioeconomic status, family health, and changes in students' math achievement across high school: A mediational model," Social Science & Medicine, Elsevier, vol. 140(C), pages 27-34.
    9. Julie Park & Dowell Myers, 2010. "Intergenerational mobility in the post-1965 immigration era: Estimates by an immigrant generation cohort method," Demography, Springer;Population Association of America (PAA), vol. 47(2), pages 369-392, May.
    10. Glewwe, Paul & Jacoby, Hanan G. & King, Elizabeth M., 2001. "Early childhood nutrition and academic achievement: a longitudinal analysis," Journal of Public Economics, Elsevier, vol. 81(3), pages 345-368, September.
    11. Christensen, Pia, 2004. "The health-promoting family: a conceptual framework for future research," Social Science & Medicine, Elsevier, vol. 59(2), pages 377-387, July.
    12. Bolck, Annabel & Croon, Marcel & Hagenaars, Jacques, 2004. "Estimating Latent Structure Models with Categorical Variables: One-Step Versus Three-Step Estimators," Political Analysis, Cambridge University Press, vol. 12(1), pages 3-27, January.
    13. Stefanie Mollborn, 2016. "Young Children’s Developmental Ecologies and Kindergarten Readiness," Demography, Springer;Population Association of America (PAA), vol. 53(6), pages 1853-1882, December.
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