Do self-reported data accurately measure health inequalities in risk factors for cardiovascular disease?
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , |
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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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 |
eu_rights_str_mv |
embargoedAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Springer |
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 instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799132153001279488 |