Metabolic health disparities driven by financial stress: Behavioural adaptation or modification?
Wan-Chin KuoLisa C BratzkeErika W HagenLauren HaleRoger L BrownJodi H BarnetPaul E PeppardPublished in: Stress and health : journal of the International Society for the Investigation of Stress (2022)
Financial stress has been linked to an increased risk of metabolic syndrome, yet, it remains unclear whether suboptimal sleep duration and physical inactivity are the adaptive responses to financial stress or effect modifiers in the association between financial stress and metabolic syndrome. Hence, this study aims to examine whether physical activity and sleep duration mediate or moderate the bivariate association between financial stress and metabolic syndrome. A prospective secondary analysis was conducted using data from the Wisconsin Sleep Cohort Study (N = 445, mean [SD] age = 64 [7] years). Baseline moderation effect was examined using subgroup analysis with model constraints; prospective mediation model was examined using bias-corrected bootstrap confidence intervals. Results indicate that participants with higher financial stress were less likely to meet physical activity and sleep recommendations. Baseline moderation analysis indicates that meeting current recommendations of sleep duration and physical activity attenuated the association between financial stress and metabolic syndrome. In the prospective mediation analysis, weekly physical activity levels partially mediated the relationship between financial stress and metabolic syndrome, but sleep duration did not mediate this relationship. In conclusion, the joint effect of optimal sleep duration and physical activity disassociates financial stress from the risk of metabolic syndrome. Future interventions addressing metabolic risk might achieve better outcomes if clinicians and researchers factor in the behavioral adaptation of physical inactivity in financially stressed adults (Clinical Trial Registration: NCT00005557).
Keyphrases
- physical activity
- metabolic syndrome
- clinical trial
- insulin resistance
- stress induced
- body mass index
- uric acid
- mental health
- affordable care act
- childhood cancer
- type diabetes
- young adults
- public health
- adipose tissue
- cardiovascular risk factors
- machine learning
- electronic health record
- high intensity
- artificial intelligence
- double blind