Evidence map›Paper›PMID 25681313›Full record

ArticleBMJ open2015

Self-rated health and standard risk factors for myocardial infarction: a cohort study.

Göran Waller, Urban Janlert, Margareta Norberg, Robert Lundqvist, Annika Forssén

Abstract read
In one paragraph

Article in BMJ open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

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

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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.

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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.

Göran WallerDepartment of Public Health and Clinical Medicine, Division of Family Medicine, Umeå University, Umeå, Sweden.
Urban JanlertDepartment of Public Health and Clinical Medicine, Division of Epidemiology and Global Health, Umeå University, Umeå, Sweden.
Margareta NorbergDepartment of Public Health and Clinical Medicine, Division of Epidemiology and Global Health, Umeå University, Umeå, Sweden.
Robert LundqvistResearch Unit, County Council of Norrbotten, Luleå, Sweden.
Annika ForssénDepartment of Public Health and Clinical Medicine, Division of Family Medicine, Umeå University, Umeå, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the relationship between self-rated health, adjusted for standard risk factors, and myocardial infarction.

designPopulation-based prospective cohort study.

settingEnrolment took place between 1990 and 2004 in Västerbotten County, Sweden

participantsEvery year, persons in the total population, aged 40, 50 or 60 were invited. Participation rate was 60%. The cohort consisted of 75 386 men and women. After exclusion for stroke or myocardial infarction before, or within 12 months after enrolment or death within 12 months after enrolment, 72 530 persons remained for analysis. Mean follow-up time was 13.2 years. OUTCOME MEASURES: Cox regression analysis was used to estimate HRs for the end point of first non-fatal or fatal myocardial infarction. HR were adjusted for age, sex, systolic blood pressure, total cholesterol, smoking, diabetes, body mass index, education, physical activity and self-rated health in the categories very good; pretty good; somewhat good; pretty poor or poor.

resultsIn the cohort, 2062 persons were diagnosed with fatal or non-fatal myocardial infarction. Poor self-rated health adjusted for sex and age was associated with the outcome with HR 2.03 (95% CI 1.45 to 2.84). All categories of self-rated health worse than very good were statistically significant and showed a dose-response relationship. In a multivariable analysis with standard risk factors (not including physical activity and education) HR was attenuated to 1.61 (95% CI 1.13 to 2.31) for poor self-rated health. All categories of self-rated health remained statistically significant. We found no interaction between self-rated health and standard risk factors except for poor self-rated health and diabetes.

conclusionsThis study supports the use of self-rated health as a standard risk factor among others for myocardial infarction. It remains to demonstrate whether self-rated health adds predictive value for myocardial infarction in combined algorithms with standard risk factors.

Indexed as

Diagnostic Self EvaluationHealthHealth StatusAdultAge FactorsBlood PressureFemaleHumansMaleMiddle AgedMyocardial InfarctionProportional Hazards ModelsProspective StudiesRisk FactorsSex FactorsSocioeconomic FactorsEPIDEMIOLOGYPUBLIC HEALTH

Identifiers

PMID25681313
PMCPMC4330330

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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.