Evidence map›Paper›PMID 37170007›Full record

ArticleInternational journal of behavioral medicine2024

Sex and Gender Differences in Psychosocial Risk Profiles Among Patients with Coronary Heart Disease - the THORESCI-Gender Study.

Sophie C M van den Houdt, Paula M C Mommersteeg, Jos Widdershoven, Nina Kupper

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Article in International journal of behavioral medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. The importance, consequences and treatment of psychosocial risk factors in heart disease: less conversation, more action!Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2024
    Review
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.

Sophie C M van den HoudtCenter of Research On Psychological Disorders and Somatic Diseases (CoRPS), Department of Medical & Clinical Psychology, Tilburg University, PO Box 90153, 5000 LE, Tilburg, the Netherlands.ORCID http://orcid.org/0000-0002-4808-0869
Paula M C MommersteegCenter of Research On Psychological Disorders and Somatic Diseases (CoRPS), Department of Medical & Clinical Psychology, Tilburg University, PO Box 90153, 5000 LE, Tilburg, the Netherlands.
Jos WiddershovenCenter of Research On Psychological Disorders and Somatic Diseases (CoRPS), Department of Medical & Clinical Psychology, Tilburg University, PO Box 90153, 5000 LE, Tilburg, the Netherlands.
Nina KupperCenter of Research On Psychological Disorders and Somatic Diseases (CoRPS), Department of Medical & Clinical Psychology, Tilburg University, PO Box 90153, 5000 LE, Tilburg, the Netherlands. H.M.Kupper@tilburguniversity.edu.

Funding

Dutch Research Council 015008055
6 · The paper itself

Abstract

backgroundPsychosocial factors tend to cluster and exhibit differences associated with sex assigned at birth. Gender disparities, though, remain uncharted so far. The current study aimed to first explore the clustering of eight established psychosocial risk factors among patients with coronary heart disease (CHD), followed by examining how sex and gender differences characterize these psychosocial risk profiles, while adjusting for the effect of age.

methodIn total, 532 patients with CHD (M

resultsLPA revealed six psychosocial risk profiles: (1) somewhat distressed overall (32%); (2) low distress (27%); (3) anger, hostility, and Type D (15%); (4) emotional distress and trauma (11%); (5) anxiety (9%); and (6) high overall distress (7%). Masculine traits and older age increased the odds to belong to the low distress profile (#2), while feminine traits and a feminine gender norm score increased the chance to belong to profiles with moderate to high distress. The effects of gender identity and feminine traits were sex dependent.

conclusionThe current study's findings explain heterogeneity among patients with CHD by considering the joint occurrence of psychosocial risk factors, and the role of sex, age, and gender within those profiles. Being more sensitive to the roles that sex, gender, and an integrated set of risk factors play may ultimately improve treatment and adherence.

Indexed as

Coronary DiseaseGender IdentityAgedAnxietyEmotionsFemaleHumansMaleMiddle AgedRisk FactorsSex FactorsAcute coronary syndrome; Latent profile analysisGenderPsychosocial risk factorsSex

Identifiers

PMID37170007
PMCPMC10803502

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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.