Do self-reported data accurately measure health inequalities in risk factors for cardiovascular disease?

Detalhes bibliográficos
Autor(a) principal: Kislaya, Irina
Data de Publicação: 2019
Outros Autores: Perelman, Julian, Tolonen, Hanna, Nunes, Baltazar
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.18/6583
Resumo: Objectives: This study aimed to compare the magnitude of educational inequalities in self-reported and examination-based hypertension and hypercholesterolemia and to assess the impact of self-reported measurement error on health inequality indicators. Methods: We used the Portuguese National Health Examination Survey data (n = 4911). The slope index of inequality (SII) and the relative index of inequality (RII) were used to determine the magnitude of absolute and relative education-related inequalities. Results: Among the 25-49-year-old (yo) men, absolute and relative inequalities were smaller for self-reported than for examination-based hypertension (SIIeb = 0.18 vs. SIIsr = - 0.001, p < 0.001; RIIeb = 1.99 vs. RIIsr = 0.86, p = 0.031). For women, the relative inequalities were similar despite differences in self-reported and examination-based hypertension prevalence. For hypercholesterolemia, self-reported relative inequalities were larger than examination-based inequalities among the 50-74-yo men (RIIsr = 2.28 vs. RIIeb = 1.21, p = 0.004) and women (RIIsr = 1.22 vs. RIIeb= 0.87, p = 0.045), while no differences were observed among 25-49-yo. Conclusions: Self-reported data underestimated educational inequalities among 25-49-yo men and overestimated them in older individuals. Inequality indicators derived from self-report should be interpreted with caution, and examination-based values should be preferred, when available.
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spelling Do self-reported data accurately measure health inequalities in risk factors for cardiovascular disease?Health InequalitiesHealth Examination SurveyHypertensionHypercholesterolemiaMeasurement ErrorEstados de Saúde e de DoençaObjectives: This study aimed to compare the magnitude of educational inequalities in self-reported and examination-based hypertension and hypercholesterolemia and to assess the impact of self-reported measurement error on health inequality indicators. Methods: We used the Portuguese National Health Examination Survey data (n = 4911). The slope index of inequality (SII) and the relative index of inequality (RII) were used to determine the magnitude of absolute and relative education-related inequalities. Results: Among the 25-49-year-old (yo) men, absolute and relative inequalities were smaller for self-reported than for examination-based hypertension (SIIeb = 0.18 vs. SIIsr = - 0.001, p < 0.001; RIIeb = 1.99 vs. RIIsr = 0.86, p = 0.031). For women, the relative inequalities were similar despite differences in self-reported and examination-based hypertension prevalence. For hypercholesterolemia, self-reported relative inequalities were larger than examination-based inequalities among the 50-74-yo men (RIIsr = 2.28 vs. RIIeb = 1.21, p = 0.004) and women (RIIsr = 1.22 vs. RIIeb= 0.87, p = 0.045), while no differences were observed among 25-49-yo. Conclusions: Self-reported data underestimated educational inequalities among 25-49-yo men and overestimated them in older individuals. Inequality indicators derived from self-report should be interpreted with caution, and examination-based values should be preferred, when available.The Portuguese National Health Examination Survey (INSEF) was developed as part of the Pre-defined project of the Public Health Initiatives Program, “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 and by Portuguese Government.SpringerRepositório Científico do Instituto Nacional de SaúdeKislaya, IrinaPerelman, JulianTolonen, HannaNunes, Baltazar2020-05-03T17:29:53Z2019-03-252019-03-25T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.18/6583engInt J Public Health. 2019 Jun;64(5):721-729. doi: 10.1007/s00038-019-01232-1. Epub 2019 Mar 251661-856410.1007/s00038-019-01232-1info:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-20T15:41:20Zoai:repositorio.insa.pt:10400.18/6583Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:40:57.237944Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Do self-reported data accurately measure health inequalities in risk factors for cardiovascular disease?
title Do self-reported data accurately measure health inequalities in risk factors for cardiovascular disease?
spellingShingle Do self-reported data accurately measure health inequalities in risk factors for cardiovascular disease?
Kislaya, Irina
Health Inequalities
Health Examination Survey
Hypertension
Hypercholesterolemia
Measurement Error
Estados de Saúde e de Doença
title_short Do self-reported data accurately measure health inequalities in risk factors for cardiovascular disease?
title_full Do self-reported data accurately measure health inequalities in risk factors for cardiovascular disease?
title_fullStr Do self-reported data accurately measure health inequalities in risk factors for cardiovascular disease?
title_full_unstemmed Do self-reported data accurately measure health inequalities in risk factors for cardiovascular disease?
title_sort Do self-reported data accurately measure health inequalities in risk factors for cardiovascular disease?
author Kislaya, Irina
author_facet Kislaya, Irina
Perelman, Julian
Tolonen, Hanna
Nunes, Baltazar
author_role author
author2 Perelman, Julian
Tolonen, Hanna
Nunes, Baltazar
author2_role author
author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Nacional de Saúde
dc.contributor.author.fl_str_mv Kislaya, Irina
Perelman, Julian
Tolonen, Hanna
Nunes, Baltazar
dc.subject.por.fl_str_mv Health Inequalities
Health Examination Survey
Hypertension
Hypercholesterolemia
Measurement Error
Estados de Saúde e de Doença
topic Health Inequalities
Health Examination Survey
Hypertension
Hypercholesterolemia
Measurement Error
Estados de Saúde e de Doença
description Objectives: This study aimed to compare the magnitude of educational inequalities in self-reported and examination-based hypertension and hypercholesterolemia and to assess the impact of self-reported measurement error on health inequality indicators. Methods: We used the Portuguese National Health Examination Survey data (n = 4911). The slope index of inequality (SII) and the relative index of inequality (RII) were used to determine the magnitude of absolute and relative education-related inequalities. Results: Among the 25-49-year-old (yo) men, absolute and relative inequalities were smaller for self-reported than for examination-based hypertension (SIIeb = 0.18 vs. SIIsr = - 0.001, p < 0.001; RIIeb = 1.99 vs. RIIsr = 0.86, p = 0.031). For women, the relative inequalities were similar despite differences in self-reported and examination-based hypertension prevalence. For hypercholesterolemia, self-reported relative inequalities were larger than examination-based inequalities among the 50-74-yo men (RIIsr = 2.28 vs. RIIeb = 1.21, p = 0.004) and women (RIIsr = 1.22 vs. RIIeb= 0.87, p = 0.045), while no differences were observed among 25-49-yo. Conclusions: Self-reported data underestimated educational inequalities among 25-49-yo men and overestimated them in older individuals. Inequality indicators derived from self-report should be interpreted with caution, and examination-based values should be preferred, when available.
publishDate 2019
dc.date.none.fl_str_mv 2019-03-25
2019-03-25T00:00:00Z
2020-05-03T17:29:53Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.18/6583
url http://hdl.handle.net/10400.18/6583
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Int J Public Health. 2019 Jun;64(5):721-729. doi: 10.1007/s00038-019-01232-1. Epub 2019 Mar 25
1661-8564
10.1007/s00038-019-01232-1
dc.rights.driver.fl_str_mv info:eu-repo/semantics/embargoedAccess
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publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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