Evidence map›Paper›PMID 30906957›Full record

ArticleInternational journal of public health2019

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

Irina Kislaya, Julian Perelman, Hanna Tolonen, Baltazar Nunes

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Article in International journal of public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Irina KislayaDepartamento de Epidemiologia, Instituto Nacional de Saúde Doutor Ricardo Jorge, IP, Lisbon, Portugal. irina.kislaya@insa.min-saude.pt.ORCID http://orcid.org/0000-0001-5772-2416
Julian PerelmanCentro de Investigação em Saúde Pública, Escola Nacional de Saúde Pública, Universidade NOVA de Lisboa, Lisbon, Portugal.ORCID http://orcid.org/0000-0001-6634-9000
Hanna TolonenDepartment of Public Health Solutions, National Institute for Health and Welfare (THL), Helsinki, Finland.ORCID http://orcid.org/0000-0003-3121-4303
Baltazar NunesDepartamento de Epidemiologia, Instituto Nacional de Saúde Doutor Ricardo Jorge, IP, Lisbon, Portugal.ORCID http://orcid.org/0000-0001-6230-7209

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis 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.

methodsWe 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.

resultsAmong the 25-49-year-old (yo) men, absolute and relative inequalities were smaller for self-reported than for examination-based hypertension (SII

conclusionsSelf-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.

Indexed as

Data AccuracyHealth Status DisparitiesHealth SurveysAdultAgedCardiovascular DiseasesChild, PreschoolCross-Sectional StudiesEthnicityFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsSelf ReportHealth examination surveyHealth inequalitiesHypercholesterolemiaHypertensionSelf-report

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.