Cross-sectional study of association between social support, job strain and cardiovascular disease

Qingyang Fu

doi:10.1117/12.2628087

22 April 2022 Cross-sectional study of association between social support, job strain and cardiovascular disease

Qingyang Fu

Proceedings Volume 12163, International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021); 121630L (2022) https://doi.org/10.1117/12.2628087
Event: International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), 2021, Nanjing, China

Abstract

This cross-sectional study examines the association between workplace social support, job strain, and cardiovascular disease prevalence ratio and rate in a random sample of 13,779 in Sweden's working population which contains both males and females. Self-reported psychological work control, job demands, and workplace social support combined, is greater than multiplicatively relations to cardiovascular disease prevalence. Modified demand-control-support model is used for calculating prevalence ratio and prevalence rate. In comparison to the reference group, employees have high expectations, little control, and limited social support, demonstrates an age-adjusted prevalence ratio of 2.17 with a 95% confidence interval from 1.32 to 3.56. After controlling for age and 11 other potential confounding factors, the PRs for this group was around 2.00. By this study, when social support falls, cardiovascular disease prevalence rate and ratio rise in each combination. Limitations of the data accuracy and methodology weakness of cross-sectional design are discussed in this study.

Citation Download Citation

Qingyang Fu "Cross-sectional study of association between social support, job strain and cardiovascular disease", Proc. SPIE 12163, International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), 121630L (22 April 2022); https://doi.org/10.1117/12.2628087

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available