Evidence map›Paper›PMID 21523615›Full record

ArticleInternational journal of public health2012

The association of depressive symptoms and ischemic heart disease in older adults is not moderated by gender, marital status or education.

Oskar Mittag, Thorsten Meyer

Abstract read
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In one paragraph

Article in International journal of public health, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 22% of its field
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

4 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Late-life depression and cardiovascular disease burden: examination of reciprocal relationship.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2014
    Article
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

2 authors at 2 institutions in 1 country.

Oskar MittagDepartment of Quality Management and Social Medicine, University Medical Center of Freiburg, Freiburg, Germany. oskar.mittag@uniklinik-freiburg.de
Thorsten Meyer
Medizinische Hochschule Hannover · DEUniversity Medical Center Freiburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate whether the association of depression and ischemic heart disease (IHD) is moderated by gender, marital status or education.

methodsData from the 1998 Medicare Health Outcome Survey (HOS) with a 2 year follow-up were re-analyzed. 63,965 older adults who had not reported IHD at baseline were included. Logistic regression analysis modelled the effects of depression, somatic risk factors, and demographic variables on IHD after 2 years.

resultsTwo year reported incidence of IHD was 6.2%. Depression was associated with a 1.53-fold risk of developing IHD after controlling for somatic risk factors and demographic variables. Male gender, lower than high-school education, and being married were associated with IHD. Neither of these variables yielded significant interactions with depression, nor did any of the higher-order interaction terms.

conclusionsThe association of depression and IHD seems independent from pivotal demographic variables. Possibly the impact of psychosocial factors in this sample of older people is weak compared to medical conditions and age. Also the possibility exists that a common factor such as a shared genetic vulnerability contributes to both depressive symptoms and IHD.

Indexed as

Marital StatusDepressionEducational StatusFemaleHealth SurveysHumansLogistic ModelsMaleMyocardial IschemiaOdds RatioUnited States

Identifiers

PMID21523615
OpenAlexW2026494218

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.