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The social patterning of measurement errors in self-reports: Impact on socioeconomic inequalities estimates

dc.contributor.authorKislaya, Irina
dc.contributor.authorPerelman, Julian
dc.contributor.authorTolonen, Hanna
dc.contributor.authorNunes, Baltazar
dc.date.accessioned2019-03-04T15:50:39Z
dc.date.available2020-07-01T00:30:12Z
dc.date.issued2018-07-04
dc.descriptionResumo da apresentação publicado em Revue d'Épidémiologie et de Santé Publique. 2018;66(Suppl. 5):S364. Disponível em https://www.sciencedirect.com/science/article/pii/S0398762018310472pt_PT
dc.description.abstractReduction of unfair differences in health between socioeconomic groups and countries constitutes an important public health challenge in the 21st century. To monitor progress on this goal, health inequalities are most frequently estimated based on self-reported data from population surveys. However, it has been shown that self-reported data on cardiovascular disease risk factors is prompt to reporting error. If errors occur more often in specific socioeconomic groups (due to under-diagnosis or lower literacy) they are likely to seriously bias health inequality estimates. This study aims at comparing measurement errors between socioeconomic categories in self-reported hypertension, and their consequences on health inequality estimates. We used data from the Portuguese National Health Examination Survey (INSEF), a cross-sectional nationwide study conducted in 2015 on a probabilistic sample (n = 4911) of community-dwelling individuals aged between 25 and 74-years-old. Inequalities in hypertension between the highest and lowest socioeconomic status groups were measured using relative indexes of inequality (RII) and respective confidence intervals (95% CI), estimated by Poisson regression. Estimates of inequalities were stratified by age and sex, using four population groups (male 25–49-years-old, female 25–49-years-old, male 50–75-years-old, female 50–75-years-old). Age- and sex-specific results showed considerable discrepancies in inequality indicators between self-reported and examination-based data. Namely, differences in estimated gradients were more pronounced among 25–49-years-old males, with RII = 0.67 (95% CI: 0.29 to 1.54) for self-reported and RII = 1.90 (95% CI: 1.22 to 2.96) for examination-based hypertension. In 25–49-years-old females inequalities in self-reported hypertension were not statistically significant (RII = 3.18; 95% CI: 0.94 to 10.73), while females with the lowest education were 4.35 (95% CI: 2.60 to 7.27) times more likely to have examination-based hypertension then compared to the most educated. Our results illustrated the significant effect of measurement error in self-reported hypertension on estimates of socioeconomic inequalities. Use of self-reported data led to underestimation of educational inequalities among young and middle-aged individuals. Inequality indicators derived from self-report should be interpreted with cautionpt_PT
dc.description.sponsorshipThe Portuguese National Health Examination Survey is developed as a part of the project “Improvement of epidemiological health information to support public health decision and management in Portugal. Towards reduced inequalities, improved health, and bilateral cooperation”, that benefits from a 1.500.000€ Grant from Iceland, Liechtenstein and Norway through the EEA Grants.pt_PT
dc.description.versionN/Apt_PT
dc.identifier.urihttp://hdl.handle.net/10400.18/6055
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.subjectInquérito Nacional de Saúde com Exame Físicopt_PT
dc.subjectHealth Inequalitiespt_PT
dc.subjectEstados de Saúde e de Doençapt_PT
dc.subjectDeterminantes da Saúde e da Doençapt_PT
dc.subjectSelf-reportpt_PT
dc.subjectMeasurement Errorpt_PT
dc.subjectHealth Examination Surveypt_PT
dc.titleThe social patterning of measurement errors in self-reports: Impact on socioeconomic inequalities estimatespt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceLyon, Françapt_PT
oaire.citation.titleEuropean Congress of Epidemiology “Crises, epidemiological transitions and the role of epidemiologists”. July 4-6, 2018pt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT

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