Measuring inequalities in health from survey data using self-assessed social class.
Background Asking participants to assess their social class may be an efficient approach to examining inequalities in heath from survey data. The present study investigated this possibility empirically by testing whether subjective class identification is related to overall health. Methods I used po...
| Publicado en: | Journal of Public Health Vol. 40; no. 1; pp. 183 - 191 |
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| Autor principal: | |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Oxford University Press / USA
Mar2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=128897354&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 128897354 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 17413842 1CA0 jtl: Journal of Public Health issn: 17413842 maglogo: N pubinfo: dt: Mar2018 vid: 40 iid: 1 pid: 622 pub: Oxford University Press / USA artinfo: ui: 128897354 128897354 128897354 10.1093/pubmed/fdx036 128897354 ppf: 183 ppct: 8 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Measuring inequalities in health from survey data using self-assessed social class. aug: au: Baćak, Valerio affil: School of Criminal Justice, Rutgers University, 123 Washington Street, Newark, NJ 07102-3094, USA sug: subj: Public Health Health Status Disparities Evaluation Social Class Utilization Self Assessment Socioeconomic Factors Human Cross Sectional Studies Questionnaires United States Data Collection, Computer Assisted Interviews Scales Female Male Descriptive Statistics Regression P-Value Adult Middle Age Aged Confidence Intervals Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Female Male ab: Background Asking participants to assess their social class may be an efficient approach to examining inequalities in heath from survey data. The present study investigated this possibility empirically by testing whether subjective class identification is related to overall health. Methods I used pooled cross-sectional data from the 2012 and the 2014 General Social Survey, a nationally representative survey carried out among adults in the United States. The association between health and class was estimated separately by gender, race and age. Results The association follows a gradient pattern where health deteriorates with lower class position even after controlling for indicators typically used in research that examines class differences in health--educational attainment, family income and occupational prestige. The results largely hold when the data are stratified by gender, race and age. Conclusions These findings demonstrate the empirical value of subjective class identification for assessing social inequalities in health from survey data. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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