TY - JOUR
T1 - Predictors of Population Mental Health in Montana
T2 - An Occupational Justice Perspective
AU - Bailliard, Antoine L.
AU - Carroll, Amanda
AU - D’Agostino, Emily M.
N1 - Publisher Copyright:
© The Author(s) 2024.
PY - 2024/10
Y1 - 2024/10
N2 - Population-level analyses can demonstrate occupational injustices and their impact on population health. The objective of this article is to examine whether population-level occupational factors are related to the mental health of Montanans. We used linear regression models of the 2021 Montana County Health Rankings to examine the association between occupational justice and mental health, adjusting for covariates. Predictor variables were access to exercise, insufficient sleep, healthy food access, food insecurity, proximal jobs, and social support. Outcome variables were frequent mental health distress and poor mental health days. Adjusted models showed significant associations between both insufficient sleep (β = 0.25, 95% confidence interval [CI] = [0.0.11, 0.40]; Table 2) and food insecurity (β = 0.32, 95% CI = [0.22, 0.43]) and poor mental health days z scores. Adjusted models also showed significant associations between insufficient sleep (β = 0.18, 95% CI = [0.10, 0.26]) and food insecurity (β = 0.19, 95% CI = [0.12, 0.25]) and frequent mental health distress. Future research should study whether targeting sleep and food security can enhance Montanans’s mental health.
AB - Population-level analyses can demonstrate occupational injustices and their impact on population health. The objective of this article is to examine whether population-level occupational factors are related to the mental health of Montanans. We used linear regression models of the 2021 Montana County Health Rankings to examine the association between occupational justice and mental health, adjusting for covariates. Predictor variables were access to exercise, insufficient sleep, healthy food access, food insecurity, proximal jobs, and social support. Outcome variables were frequent mental health distress and poor mental health days. Adjusted models showed significant associations between both insufficient sleep (β = 0.25, 95% confidence interval [CI] = [0.0.11, 0.40]; Table 2) and food insecurity (β = 0.32, 95% CI = [0.22, 0.43]) and poor mental health days z scores. Adjusted models also showed significant associations between insufficient sleep (β = 0.18, 95% CI = [0.10, 0.26]) and food insecurity (β = 0.19, 95% CI = [0.12, 0.25]) and frequent mental health distress. Future research should study whether targeting sleep and food security can enhance Montanans’s mental health.
KW - mental health
KW - occupational justice
KW - regression analysis
UR - https://www.scopus.com/pages/publications/85185278480
U2 - 10.1177/15394492241230906
DO - 10.1177/15394492241230906
M3 - Article
AN - SCOPUS:85185278480
SN - 1539-4492
VL - 44
SP - 617
EP - 624
JO - OTJR: Occupational Therapy Journal of Research
JF - OTJR: Occupational Therapy Journal of Research
IS - 4
ER -