ArticleJournal of clinical medicine2023
A Biopsychosocial Model Predicting Myocardial Infarction.
Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
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0 citing papers in PubMed, 1 citations in OpenAlex.
No citing paper in PubMed yet.
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
Abstract
Myocardial infarction is one of the main causes of death, and cardiovascular risk factors (CVRFs) are always considered when studying it. However, although it is known that other social and psychological variables, and especially frailty, can increase the risk of infarction, their simultaneous effect has not been extensively studied. This study is based on data from the SHARE project (latest wave, Wave 8), with a representative sample of 46,498 participants aged 50 or older (M = 70.40, SD = 9.33), of whom 57.4% were females. Statistical analyses included a full structural equation model that predicts 27% of infarction occurrence and evidences the significant effect of well-being, depression, and social connectedness on frailty. Frailty, in turn, explains 15.5% of the variability of CVRFs. This work supports the need to study these physical, social, and mental health factors together to intervene on frailty and, in turn, improve cardiovascular outcomes.
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