Evidence map›Paper›PMID 26224341›Full record

ArticleJournal of clinical hypertension (Greenwich, Conn.)2015

Validity of Self-Report Data in Hypertension Research: Findings From The Study on Global Ageing and Adult Health.

Eric Y Tenkorang, Pearl Sedziafa, Yuji Sano, Vincent Kuuire, Emmanuel Banchani

Abstract read
In one paragraph

Article in Journal of clinical hypertension (Greenwich, Conn.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Life satisfaction and blood pressure: A coordinated analysis of 16 cohorts.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2026
    Pooled it
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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

5 authors.

Eric Y TenkorangDepartment of Sociology, Memorial University, St. John's, NF, Canada.
Pearl SedziafaDepartment of Sociology, Memorial University, St. John's, NF, Canada.
Yuji SanoDepartment of Sociology, Memorial University, St. John's, NF, Canada.
Vincent KuuireDepartment of Geography, The University of Western Ontario, London, ON, Canada.
Emmanuel BanchaniDepartment of Sociology, Memorial University, St. John's, NF, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several studies indicate little congruence between self-report and biometric data, yet very few have examined the reasons for such differences. This paper contributes to the limited but growing body of literature that tracks inconsistent reports of hypertension using data from the Study on Global Ageing and Adult Health (SAGE). Focusing on five countries with different levels of development (Ghana, China, India, South Africa, and Russia), this study offers a comparative perspective that is missing in the literature. Data were obtained from wave 1 of SAGE collected in 2007/2008. A multinomial logit model was used to examine the effects of demographic and socioeconomic variables on the likelihood of respondents self-reporting that they are not hypertensive when their biometric data show otherwise. The authors also model the likelihood of respondents self-reporting that they are hypertensive when in fact their biometric data show they are not. Socioeconomic and demographic variables were shown to be significantly associated with inconsistent reporting of hypertension. For instance, it was observed that wealth was associated with a lower likelihood of self-reporting that one is not hypertensive when their biometric data indicate otherwise. Tracking such inconsistent reports is crucial to minimizing measurement errors and generating unbiased and more precise parameter estimates in hypertension research.

Indexed as

Self ReportAgingBiometryDemographyFemaleGlobal HealthHumansHypertensionLogistic ModelsMaleMiddle AgedPrevalenceSensitivity and SpecificitySocioeconomic FactorsSurveys and Questionnaires

Identifiers

PMID26224341
PMCPMC8032125

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.