Application of the Human Well-Being Index to Sensitive Population Divisions: a Children’s Well-Being Index Development
- 142 Downloads
The assessment of community well-being is critical as an end-point measure that will facilitate decision support and assist in the identification of sustainable solutions to address persistent problems. While the overall measure is important, it is equally vital to distinguish variations among groups within the population who may be impacted in a different manner. The U.S. Environmental Protection Agency (US EPA) developed the Human Well-Being Index (HWBI), as a way of measuring these outcomes and assessing community characteristics. The HWBI approach produces a suite of indicators, domains and a final composite index appropriate for characterizing well-being of a population. While generalized approaches are needed, it is important to also recognize variations in well-being across community enclaves. This paper presents an adaption of the HWBI for child populations to test the applicability of the index framework to specific community enclaves. First, an extensive literature review was completed to ensure the theoretical integrity of metric and indicator substitutions from the original HWBI framework. Metric data were then collected, refined, imputed where necessary and evaluated to confirm temporal and spatial availability. A Children’s Well-Being Index (CWBI) value, representing the same indicators and domains of well-being as the original HWBI, was calculated for the population under age 18 across all US counties for 2011. Implications of this research point to an effective, holistic end-point measure that can be tracked over time. Similarly, there is great potential for the application of the original HWBI method to other statistical population segments within the greater US population. These adaptations could help identify and close gaps in equity of resource distribution among these groups.
KeywordsChildren’s well-being HWBI Sustainability
- Asfour, L., Natale, R., Uhlhorn, S., Arheart, K. L., Haney, K., & Messiah, S. E. (2015). Ethnicity, household food security, and Nutrition and activity patterns in families with preschool children. Journal of Nutrition Education and Behavior, 47(6), 498–NIL_430.Google Scholar
- Barbarin, O., Bryant, D., McCandies, T., Burchinal, M., Early, D., Clifford, R., et al. (2006). Children enrolled in public pre-K: The relation of family life, neighborhood quality, and socioeconomic resources to early competence. American Journal of Orthopsychiatry, 76(2), 265–276. doi: 10.1037/0002-9422.214.171.1245.CrossRefGoogle Scholar
- Child and Adolescent Health Measurement Initiative, National Survey of Children's Health. (2012). Enhanced data file. Data Resource Center for Child and Adolescent Health. Retrieved February 2, 2016 from childhealthdata.org.com.
- Crimmins, E. M., Hayward, M. D., & Seeman, T. E. (2004). Race/ethnicity, socioeconomic status, and health. In N. B. Anderson (Ed.), Critical perspectives on Racial and ethnic differences in health in late life (pp. 310–352). Washington, DC: National Academies Press.Google Scholar
- Fiese, B. H., & Samdal, O. (2008). Reclaiming the family table: mealtimes and child health and wellbeing. Social Policy Report, 22(4), 3–23.Google Scholar
- Freudenberg, N., & Ruglis, J. (2007). Reframing school dropout as a public health issue. Preventing Chronic Disease, 4(4), A107.Google Scholar
- Geoffroy, M. C., Cote, S. M., Giguere, C. E., Dionne, G., Zelazo, P. D., Tremblay, R. E., et al. (2010). Closing the gap in academic readiness and achievement: the role of early childcare. Journal of Child Psychology and Psychiatry, 51(12), 1359–1367. doi: 10.1111/j.1469-7610.2010.02316.x.CrossRefGoogle Scholar
- Hemphill, S. A., Heerde, J. A., Scholes-Balog, K. E., Herrenkohl, T. I., Toumbourou, J. W., & Catalano, R. F. (2014). Effects of early adolescent alcohol use on mid-adolescent school performance and connection: a longitudinal study of students in Victoria, Australia and Washington state, United States. Journal of School Health, 84(11), 706–715. doi: 10.1111/josh.12201.CrossRefGoogle Scholar
- Iosua, E. E., Gray, A. R., McGee, R., Landhuis, C. E., Keane, R., & Hancox, R. J. (2014). Employment among schoolchildren and its associations with adult substance use, psychological well-being, and academic achievement. Journal of Adolescent Health, 55(4), 542–548. doi: 10.1016/j.jadohealth.2014.03.018.CrossRefGoogle Scholar
- Irwin, L. G., Siddiqi, A., & Hertzman, C. (2007). Early child development: a powerful equalizer. Vancouver: Human Early Learning Parntership.Google Scholar
- Jack, G. 2015. 'I may not know who I am, but I know where I am from': the meaning of place in social work with children and families.Children & Family Social Work. 20(4): 415-423.Google Scholar
- O’Hare, W.P., 2006. Developing state indices of child well-being. Baltimore: Annie E. Casey Foundation.Google Scholar
- O’Hare, W.P. 2016. Who Lives in Hard-to-Count Neighborhoods? International Journal of Social Science Studies. 4(4): 43-55.Google Scholar
- Patterson, K., O’Hare, W.P. 2014. A New Assessment of Changes Over Time and Differences Across States in the Well-Being of Children in the US. Paper delivered at the Southern Demographic Association Conference. 30-31.Google Scholar
- Rosiek, A., Frackowiak Maciejewska, N., Leksowski, K., Rosiek-Kryszewska, A., & Leksowski, L. (2015). Effect of television on obesity and excess of weight and consequences of health. International Journal of Environmental Research and Public Health, 12(8), 9408–9426. doi: 10.3390/ijerph120809408.CrossRefGoogle Scholar
- Ruiz, J.D.C., Quackenboss, J.J., Tulve, N.S. 2016. Contributions of a Child’s Built, Natural, and Social Environments to Their General Cognitive Ability: A Systematic Scoping Review. PLoS ONE 11(2):e0147741.Google Scholar
- Schickedanz, A., Dreyer, B. P., & Halfon, N. (2015). Childhood poverty understanding and preventing the adverse impacts of a most-prevalent risk to pediatric health and well-being. Pediatric Clinics of North America, 62(5), 1111−+, doi: 10.1016/j.pcl.2015.05.008.
- Sivvas, G., Batsiou, S., Vasoglou, Z., & Filippou, D. A. (2015). Dance contribution in health promotion. Journal of Physical Education and Sport, 15(3), 484–489.Google Scholar
- Suldo, S., Thalji, A., & Ferron, J. (2011). Longitudinal academic outcomes predicted by early adolescents' subjective well-being, psychopathology, and mental health status yielded from a dual factor model. Journal of Positive Psychology, 6(1), 17–30. doi: 10.1080/17439760.2010.536774.CrossRefGoogle Scholar
- Thaiss, H., Klein, R., Schumann, E. C., Ellsasser, G., Breitkopf, H., Reinecke, H., et al. (2010). Child health check-ups as an instrument in child welfare. First results of compulsory check-up systems in German federal states. Bundesgesundheitsblatt-Gesundheitsforschung-Gesundheitsschutz, 53(10), 1029–1047. doi: 10.1007/s00103-010-1134-8.CrossRefGoogle Scholar
- Trends, C. (2013). Measures of flourishing. http://www.childtrends.org/?indicators=measures-of-flourishing. Accessed 31 Mar 2016.
- Woolf, S. H., Johnson, R. E., Phillips, R. L., & Philipsen, M. (2007). Giving everyone the health of the educated: an examination of whether social change would save more lives than medical advances. American Journal of Public Health, 97(4), 679–683. doi: 10.2105/ajph.2005.084848.CrossRefGoogle Scholar