Abstract
Background
A variety of risk factors (i.e., psychosocial, biomedical, socioeconomic status [SES] and health behavioral) influences the risk of development and prognosis of coronary artery disease (CAD), health and healthcare use both independently as well as mutually. Low SES was previously found to worsen the other risk factors, indicating it could be an influential factor. Additionally, sex differences were similarly found to exist in each separate risk factor. Network analysis could provide an in-depth insight in the interrelatedness of the risk factors with the moderating role of sex to ultimately contribute to more refinement in prevention and cardiac rehabilitation strategies.
Methods
1682 participants (77.9% male; Mage = 69.2 ± 10.6) with
established CAD completed questionnaires on psychosocial factors
and health behaviors at multiple timepoints. Biomedical data was
retrieved through medical records. An SES index was created based
on self-reported occupation and education, and area-based median
income through postal code. Using R, we conducted a mixed
graphical model network analysis on all risk factors combined with
and without the moderating role of sex.
Results
SES belonged to the more influential risk factors with moderate to high levels of expected influence and degree centrality, indicating it plays a considerate role in the risk factor network. When considering the moderating role of sex, relationships between SES and the majority of the risk factors were found to be stronger for women.
Discussion
The current study provided an insight in an interrelated network of a variety of risk factors among CAD patients. With SES belonging to the more influential risk factors and female sex influencing the strength of most of the SES-risk factor relationships, cardiac rehabilitation and prevention techniques could be more
refined by accounting for both influences.
A variety of risk factors (i.e., psychosocial, biomedical, socioeconomic status [SES] and health behavioral) influences the risk of development and prognosis of coronary artery disease (CAD), health and healthcare use both independently as well as mutually. Low SES was previously found to worsen the other risk factors, indicating it could be an influential factor. Additionally, sex differences were similarly found to exist in each separate risk factor. Network analysis could provide an in-depth insight in the interrelatedness of the risk factors with the moderating role of sex to ultimately contribute to more refinement in prevention and cardiac rehabilitation strategies.
Methods
1682 participants (77.9% male; Mage = 69.2 ± 10.6) with
established CAD completed questionnaires on psychosocial factors
and health behaviors at multiple timepoints. Biomedical data was
retrieved through medical records. An SES index was created based
on self-reported occupation and education, and area-based median
income through postal code. Using R, we conducted a mixed
graphical model network analysis on all risk factors combined with
and without the moderating role of sex.
Results
SES belonged to the more influential risk factors with moderate to high levels of expected influence and degree centrality, indicating it plays a considerate role in the risk factor network. When considering the moderating role of sex, relationships between SES and the majority of the risk factors were found to be stronger for women.
Discussion
The current study provided an insight in an interrelated network of a variety of risk factors among CAD patients. With SES belonging to the more influential risk factors and female sex influencing the strength of most of the SES-risk factor relationships, cardiac rehabilitation and prevention techniques could be more
refined by accounting for both influences.
| Original language | English |
|---|---|
| Article number | 1472 |
| Pages (from-to) | A118-A119 |
| Journal | Psychosomatic Medicine |
| Volume | 84 |
| Issue number | 5 |
| Publication status | Published - 2022 |