Social Inequality in Adolescent Life Satisfaction: Comparison of Measure Approaches and Correlation with Macro-level Indices in 41 Countries
Family affluence plays a crucial role in adolescent well-being and is potential source of health inequalities. There are scarce research findings in this area from a cross-national perspective. This study introduces several methods for measuring family affluence inequality in adolescent life satisfaction (LS) and assesses its relationship with macro-level indices. The data (N = 192,718) were collected in 2013/2014 in 39 European countries, Canada, and Israel, according to the methodology of the cross-national Health Behavior in School-aged Children study. The 11-, 13- and 15-year olds were surveyed by means of self-report anonymous questionnaires. Fifteen methods controlling for confounders were tested to measure social inequality in adolescent LS. In each country, all measures indicated that adolescent from more affluent families showed higher satisfaction with their life than did those from less affluent families. According to the Poisson regression estimations, for instance, the lowest inequality in LS was found among adolescents in Malta, while the highest inequality in LS was found among adolescents in Hungary. The ratio between the mean values of LS score at the extreme highest and lowest family affluence levels (Relative Index of Inequality) derived from the regression-based models distinguished for its positive correlation with the Gini index, and negative correlation with Gross National Income, Human Development Index and the mean Overall Life Satisfaction score. The measure allows in-depth exploration of the interplay between individual and macro-socioeconomic factors affecting adolescent well-being from a cross-national perspective.
KeywordsAdolescents Life satisfaction Family affluence Health inequality Measures Relative index of inequality
The HBSC study is an international study carried out in collaboration with WHO Europe. The international coordinator of the 2013–2014 survey was Professor Candace Currie from the University of St. Endriews, United Kingdom, and the international databank manager was Professor Oddrun Samdal from Bergen University, Norway. The HBSC survey was the personal responsibility of principal investigators in each of the 41 countries.
- Bartley, M. (2004). Health inequality: An introduction to theories, concepts and methods. Cambridge: Polity Press.Google Scholar
- Burton, P., & Phipps, S. (2010). From a young teen’s perspective: Income and the happiness of Canadian 12 to 15 Year olds. http://myweb.dal.ca/phipps/Happy_Teens.pdf. Accessed 1 March 2017.
- Cantril, H. (1965). The pattern of human concern. New Jersey: Rutgers University Press.Google Scholar
- Currie, C., Zanotti, C., Morgan, A., Currie, D., de Looze, M., Roberts, C., et al. (Eds.) (2012). Social determinants of health and well-being among young people. Health Behaviour in School-aged Children (HBSC) Study: International Report from the 2009/2010 Survey. Copenhagen: World Health Organization Regional Office for Europe. (Health Policy for Children and Adolescents, No. 6).Google Scholar
- HBSC (2013). Health behaviour in school-aged children study: A World Health Organization Cross-National study. Internal Research Protocol for the 2013/2014 Survey. Scotland: University of St. Andrews. https://sites.google.com/a/hbsc.org/members/documents/protocols/2013-2014_internalprotocol. Accessed 1 March 2017.
- HBSC (2017). Health behaviour in school-aged children: World Health Organization Collaborative Cross-national survey. http://www.hbsc.org. Accessed 1 March 2017.
- HDR (2015). Human development report 2015: Work for human development. http://hdr.undp.org/sites/default/files/hdr_2015_statistical_annex.pdf. Accessed 1 March 2017.
- Inchley, J., Currie, D., Young, T., Samdal, O., Torsheim, T., Augustson, L., et al. (Eds.) (2016). Growing up unequal: gender and socioeconomic differences in young people‘s health and well-being. Health Behaviour in School-aged Children (HBSC) study: International report from the 2013/2014 survey. Copenhagen: World Health Organization Regional Office for Europe. (Health Policy for Children and Adolescents, No. 7).Google Scholar
- Koster, A., Bosma, H., van Lenthe, F. J., Kempen, G. I., Mackenbach, J. P., & van Eijk, J. T. (2005). The role of psychosocial factors in explaining socio-economic differences in mobility decline in a chronically ill population: Results from the GLOBE study. Social Science and Medicine, 61(1), 123–132.CrossRefGoogle Scholar
- Kunst, A. E., & Mackenbach, J. P. (1995). Measuring socio-economic inequalities in health. Copenhagen: World Health Organisation.Google Scholar
- Levin, K. A., Torsheim, T., Vollebergh, W., Richter, M., Davies, C. A., Schnohr, C. W., et al. (2011). National income and income inequality, family affluence and life satisfaction among 13 year old boys and girls: a multilevel study in 35 countries. Social Indicators Research, 104(2), 179–194.CrossRefGoogle Scholar
- Moreno-Betancur, M., Latouche, A., Menvielle, G., Kunst, A.E., & Rey, G. (2015). eAppendix for “Relative index of inequality and slope index of inequality: A structured regression framework for estimation”. http://download.lww.com/wolterskluwer_vitalstream_com/PermaLink/EDE/A/EDE_2015_04_01_MORENOBETANCUR_EDE14-467_SDC1.pdf. Accessed 3 March 2017.
- Spinakis, A., Anastasiou, G., Panousis, V., Spiliopoulos, K., Palaiologou, S., & Yfantopoulos, J. (2011). Expert review and proposals for measurement of health inequalities in the European Union–Full Report. European Commission Directorate General for Health and Consumers. Luxembourg. http://ec.europa.eu/health//sites/health/files/social_determinants/docs/full_quantos_en.pdf. Accessed 1 March 2017.
- WHO (2010). Environment and health risks: A review of the influence and effects of social inequalities. Mickey Leland Center for Environment Justice and Sustainability. http://www.euro.who.int/__data/assets/pdf_file/0003/78069/E93670.pdf?ua=1. Accessed 1 March 2017.