Evidence map›Paper›PMID 1431726›Full record

ArticleJournal of epidemiology and community health1992

Demographic characteristics and health behaviours of consenters to medical examination. Results from the Welsh Heart Health Survey.

E Pullen, D Nutbeam, L Moore

Abstract read
In one paragraph

Article in Journal of epidemiology and community health, 1992. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

  1. Community interventions for reducing smoking among adults.The Cochrane database of systematic reviews · 2002
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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

3 authors.

E PullenDepartment of Sociology, University of Warwick, Coventry, West Midlands, UK.
D Nutbeam
L Moore

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

objectiveThe aim was to compare the demographic characteristics and health related behaviours of people who consented to a medical examination as part of a population survey with those who did not. STUDY

designThe study formed part of the (1985) Welsh Heart Health Survey, which comprised a three stage design involving household interview, self completion questionnaire, and medical examination. Subjects for medical examination were selected from responders to the questionnaire survey (67%). Sixty six per cent of this group consented to medical examination (n = 11,637). Odds ratio analysis techniques were used to compare consenters and non-consenters. MEASUREMENTS AND MAIN

resultsThe analysis was based on self reported information available from previously completed questionnaires, and from personal interviews. The study supported the findings of previous research indicating that consenters to medical examination are more likely to be from non-manual social groups, to be aged 25-44 years, to be educated beyond school age, and to be married. Individuals with healthy lifestyle characteristics (diet, physical activity) were overrepresented among consenters. The only exception to this finding was in relation to excessive alcohol consumption.

conclusionsThese findings emphasise the importance of maximising response rates in all forms of social research including surveys with a clinical component. They also have methodological and analytical implications for the Welsh Heart Health Survey.

Indexed as

Health BehaviorHealth SurveysPhysical ExaminationAdolescentAdultAge FactorsAlcohol DrinkingAttitude to HealthBody Mass IndexDietEducational StatusExerciseFemaleHeart DiseasesHumansMale

Identifiers

PMID1431726
PMCPMC1059619

What OpenQuestion holds

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Registered trials

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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.