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The Family Affluence Scale as an Indicator for Socioeconomic Status: Validation on Regional Income Differences in the Czech Republic

. 2017 Dec 08 ; 14 (12) : . [epub] 20171208

Language English Country Switzerland Media electronic

Document type Journal Article, Research Support, Non-U.S. Gov't, Validation Study

The Health Behaviour in School-Aged Children study (HBSC) uses the Family Affluence Scale (FAS) as a tool to identify the socioeconomic status of children and adolescents. Even though it is now widely applied in research studies, the external criterion validation of FAS has not been verified in terms of objective economic indicators in Central Europe. The aim of this study is to validate FAS in terms of disposable income per capita in 14 Czech administrative regions. Regional differences in the FAS score were analyzed using Pearson correlation and linear regression to measure the dependency of the aggregated mean of the FAS index at the regional level on data from the Czech HSBC survey carried out from April to June 2014 (n = 10,361). The data analysis has shown an overall positive correlation between the FAS index and regional disposable income (R = 0.77, p < 0.01). The regional disposable income per person could explain 59.7% of the variance in the FAS index (p < 0.01). By validating individual items, the authors identified three items with a significant correlation (p < 0.01): number of computers, dishwasher at home, and number of holidays. FAS seems to be a valid instrument to measure adolescents' socioeconomic status.

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Adler N.E. Health disparities: Taking on the challenge. Perspect. Psychol. Sci. 2013;8:679–681. doi: 10.1177/1745691613506909. PubMed DOI

Prag P., Mills M.C., Wittek R. Subjective socioeconomic status and health in cross-national comparison. Soc. Sci. Med. 2016;149:84–92. doi: 10.1016/j.socscimed.2015.11.044. PubMed DOI

Chen E., Miller G.E. Socioeconomic status and health: Mediating and moderating factors. Annu. Rev. Clin. Psychol. 2013;9:723–749. doi: 10.1146/annurev-clinpsy-050212-185634. PubMed DOI

Townsend P. Deprivation. J. Soc. Policy. 1987;16:125–146. doi: 10.1017/S0047279400020341. DOI

Barrera M., Prelow H.M., Dumka L.E., Gonzales N.A., Knight G.P., Michaels M.L., Roosa M.W., Tein J.Y. Pathways from family economic conditions to adolescents’ distress: Supportive parenting, stressors outside the family, and deviant peers. J. Community Psychol. 2002;3:135–152. doi: 10.1002/jcop.10000. DOI

Rathmann K., Ottova V., Hurrelmann K., De Looze M., Levin K., Molcho M., Elgar F., Gabhainn S.N., Van Dijk J.P., Richter M. Macro-level determinants of young people’s subjective health and health inequalities: A multilevel analysis in 27 welfare states. Maturitas. 2015;80:414–420. doi: 10.1016/j.maturitas.2015.01.008. PubMed DOI

World Health Organisation What Are Social Determinants of Health? [(accessed on 15 January 2017)]; Available online: http://www.who.int/social_determinants/sdh_definition/en/

Viner R., Ozer E.M., Denny S., Marmot M., Resnick M., Fatusi A., Currie C. Adolescence and the social determinants of health. Lancet. 2012;379:1641–1652. doi: 10.1016/S0140-6736(12)60149-4. PubMed DOI

Elgar F.J., Moor T.P.I., De Clercq B., Stevens G.W.J.M., Currie C. Socioeconomic inequalities in adolescent health: A time-series analysis of 34 countries participating in the HBSC study, 2002 to 2010. Lancet. 2015;385:2088–2095. doi: 10.1016/S0140-6736(14)61460-4. PubMed DOI

Currie C.E., Elton R.A., Todd J., Platt S. Indicators of socioeconomic status for adolescents: The WHO Health Behaviour in School-aged Children Survey. Health Educ. Res. 1997;12:385–397. doi: 10.1093/her/12.3.385. PubMed DOI

Currie C.E., Molcho M., Boyce W., Holstein B., Torsheim T., Richter M. Researching health inequalities in adolescence: The development of the HBSC Family Affluence Scale. Soc. Sci. Med. 2008;66:1429–1436. doi: 10.1016/j.socscimed.2007.11.024. PubMed DOI

Schnohr C.W., Kreiner S., Due E.P., Currie C., Boyce W., Diderichsen F. Differential item functioning of a family affluence scale: Validation study on data from HBSC 2001/02. Soc. Indic. Res. 2008;89:79–95. doi: 10.1007/s11205-007-9221-4. DOI

Wold B., Smith C., Aarø L.E. Health Behaviour in School-Aged Children, a WHO Cross-National Survey (HBSC): Research Protocol for the 1993–1994 Study. Research Center for Health Promotion, University of Bergen; Bergen, Norway: 1994.

Kehoe S., O’Hare L. The reliability and validity of the Family Affluence Scale. Eff. Educ. 2010;2:155–164. doi: 10.1080/19415532.2010.524758. DOI

Liu Y., Wang M., Villberg J., Torsheim T., Tynjälä J., Lv Y., Kannas L. Reliability and validity of Family Affluence Scale (FAS II) among adolescents in Beijing, China. Child Indic. Res. 2012;5:235–251. doi: 10.1007/s12187-011-9131-5. DOI

Boyce W., Torsheim T., Currie C., Zambon A. The family affluence scale as a measure of national wealth: Validation of an adolescent self-report measure. Soc. Indic. Res. 2006;78:473–487. doi: 10.1007/s11205-005-1607-6. DOI

Hartley J.E.K., Levin K., Currie C. A new version of the HBSC Family Affluence Scale—FAS III: Scottish Qualitative Findings from the International FAS Development Study. Child Indic. Res. 2016;9:233–245. doi: 10.1007/s12187-015-9325-3. PubMed DOI PMC

Torsheim T., Cavallo F., Levin K.A., Schnohr C., Mazur J., Niclasen B., Currie C. Psychometric Validation of the Revised Family Affluence Scale: A Latent Variable Approach. Child Indic. Res. 2016;9:771–784. doi: 10.1007/s12187-015-9339-x. PubMed DOI PMC

Schnohr C.W., Makransky G., Kreiner S., Torsheim T., Hofmann F., De Clerq B., Elgar F.J., Currie C. Item response drift in the Family Affluence Scale: A study on three consecutive surveys of the Health Behaviour in School-aged Children (HBSC) survey. Meas. J. Int. Meas. Confed. 2013;46:3119–3126. doi: 10.1016/j.measurement.2013.06.016. DOI

Makransky G., Schnohr C.W., Torsheim T., Currie C. Equating the HBSC Family Affluence Scale across survey years: A method to account for item parameter drift using the Rasch model. Qual. Life Res. 2014;23:2899–2907. doi: 10.1007/s11136-014-0728-2. PubMed DOI

Czech Statistic Office Territorial Comparisons 2014. [(accessed on 14 January 2016)]; Available online: https://www.czso.cz/documents/11276/17842337/1527102.pdf/8d0c8ac9-960a-43fc-8364-f7c112514acf?version=1.1.

Organisation for Economic Co-Operation and Development (OECD), Household Disposable Income. [(accessed on 15 January 2017)]; Available online: https://data.oecd.org/hha/household-disposable-income.htm.

GINI Index (World Bank Estimate) [(accessed on 16 November 2017)]; Available online: https://data.worldbank.org/indicator/SI.POV.GINI?locations=CZ.

Bajgar M., Janský P. Skutečná kupní síla v krajích České republiky: Zohlednění regionální cenové hladiny a struktury pracovní síly. Politicka Ekonomie. 2015;7:861. doi: 10.18267/j.polek.1039. DOI

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