When money and mental health problems pile up: The reciprocal relationship between income and psychological distress.

SSM Popul Health

Center on Poverty and Social Policy, School of Social Work, Columbia University, 1255 Amsterdam Avenue, New York, NY, 10027, USA.

Published: March 2024

Background: Longitudinal studies suggest that socioeconomic status (SES) and mental health have a bidirectional relationship such that SES declines lead to a deterioration of mental health (), while worsening mental health leads to SES declines (). However, the dynamic relationship between income and psychological distress has not been sufficiently studied.

Methods: We use cross-lagged panel models with unit fixed effects (FE-CLPM) and data from a five-wave representative panel (n = 3103) of working-age (18-64) New York City adults. Yearly measures include individual earnings, family income (income-to-needs), and psychological distress. We also examine effects by age, gender, education, and racial/ethnic identification.

Results: We find significant bidirectional effects between earnings and distress. Increases in past-year individual earnings decrease past-month psychological distress (, standardized β= -0.07) and increases in psychological distress reduce next-year individual earnings (, β= -0.03). Family income and distress only have a unidirectional relationship from past-year family income to distress (, β= -.03). Strongest evidence of bidirectional effects between earnings and distress is for prime working-age individuals (, β= -0.1; , β= -0.03), those with less than bachelor's degrees (, β= -0.08; , β= -0.05), and Hispanics (, β= -0.06; , β= -0.08). We also find evidence of reciprocal effects between family income and distress for women (, β= -0.03; , β= -0.05), and Hispanics (, β= -0.04; , β= -0.08).

Conclusions: Individual earnings, which are labor market indicators, may be stronger social determinants of mental health than family income. However, important differences in social causation and social drift effects exist across groups by age, education, gender, and racial/ethnic identities. Future research should examine the types of policies that may buffer the mental health impact of negative income shocks and the declines in income associated with worsening mental health, especially among the most vulnerable.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10876910PMC
http://dx.doi.org/10.1016/j.ssmph.2024.101624DOI Listing

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