TY - JOUR
T1 - Balancing work and earnings
T2 - The long-term impact on mental health
AU - Chen, Jun Hong
AU - Yang, Yuanyuan
AU - Fang, Cao
AU - Huang, Chieh Hsun
AU - Chiang, Chien Jen
AU - Wu, Chi Fang
AU - Jonson-Reid, Melissa
AU - Drake, Brett
N1 - Publisher Copyright:
© 2024 Elsevier Ltd
PY - 2025/1
Y1 - 2025/1
N2 - Earnings and work hours (e.g., weekly work hours) are key determinants of one's mental health. While higher earnings are linked to better mental health due to reduced financial stress, they may come at the cost of longer work hours harmful for mental health. Therefore, balancing work hours with earnings is crucial for mental health. Using the 2015, 2017, and 2019 waves of the Panel Study of Income Dynamics (N = 6,776), this study explores how one's earnings and work hours combine to influence mental health using growth mixture modeling and a negative binomial regression model, with generalized propensity score weighting for causal inference. The findings reveal that working 40 h a week with earnings two to three times the US federal poverty threshold benefits mental health. However, earning more by working 60 h a week does not provide additional mental health benefits. Additionally, individuals with a history of low earnings face a high risk of psychological distress, even as their earnings improve over time. This risk is similar to that experienced by those consistently earning low incomes. Our findings highlight the importance of clarifying work-earning balance for one's mental health as well as identifying people with mental health needs from a longitudinal perspective.
AB - Earnings and work hours (e.g., weekly work hours) are key determinants of one's mental health. While higher earnings are linked to better mental health due to reduced financial stress, they may come at the cost of longer work hours harmful for mental health. Therefore, balancing work hours with earnings is crucial for mental health. Using the 2015, 2017, and 2019 waves of the Panel Study of Income Dynamics (N = 6,776), this study explores how one's earnings and work hours combine to influence mental health using growth mixture modeling and a negative binomial regression model, with generalized propensity score weighting for causal inference. The findings reveal that working 40 h a week with earnings two to three times the US federal poverty threshold benefits mental health. However, earning more by working 60 h a week does not provide additional mental health benefits. Additionally, individuals with a history of low earnings face a high risk of psychological distress, even as their earnings improve over time. This risk is similar to that experienced by those consistently earning low incomes. Our findings highlight the importance of clarifying work-earning balance for one's mental health as well as identifying people with mental health needs from a longitudinal perspective.
KW - Causal inference
KW - Earnings
KW - Generalized propensity score weighting
KW - Growth mixture modeling
KW - Mental health
KW - Negative binomial regression
KW - Weekly work hours
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U2 - 10.1016/j.socscimed.2024.117562
DO - 10.1016/j.socscimed.2024.117562
M3 - Article
C2 - 39616789
AN - SCOPUS:85210530186
SN - 0277-9536
VL - 364
JO - Social Science and Medicine
JF - Social Science and Medicine
M1 - 117562
ER -