Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

A Biopsychosocial Model Predicting Myocardial Infarction

José M. Tomás
ORCID logo ,
Amparo Oliver
,
Zaira Torres
* ORCID logo ,
Janhavi Parker
,
Elena Marques
ORCID logo ,
Trinidad Sentandreu-Mañó
ORCID logo
Version 1 : Received: 3 August 2023 / Approved: 9 August 2023 / Online: 10 August 2023 (08:14:46 CEST)

A peer-reviewed article of this Preprint also exists.

Tomás, J.M.; Oliver, A.; Torres, Z.; Parker, J.; Marques-Sule, E.; Sentandreu-Mañó, T. A Biopsychosocial Model Predicting Myocardial Infarction. J. Clin. Med. 2023, 12, 5715. Tomás, J.M.; Oliver, A.; Torres, Z.; Parker, J.; Marques-Sule, E.; Sentandreu-Mañó, T. A Biopsychosocial Model Predicting Myocardial Infarction. J. Clin. Med. 2023, 12, 5715.

Abstract

Myocardial infarction is one of the main causes of death, and cardiovascular risk factors (CVRF) 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, 8), with a representative sample of 46498 participants, aged 50 or older (M = 70.40, SD = 9.33), 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 CVRF. 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.

Keywords

biopsychosocial approach; coronary artery disease; cardiovascular disease; SHARE survey; aging

Subject

Public Health and Healthcare, Public Health and Health Services

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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