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[Preprint]. 2020 Sep 18:2020.09.15.20195339. [Version 1] doi: 10.1101/2020.09.15.20195339

Table 2-.

Cross-sectional associations of financial hardship with mental health

Cohort 1 Cohort 2
standardized β (SE) t p Standardized β (SE) t p
Model 1: Objective financial hardship
Income- main effect on symptoms load (anxiety and depression) −0·02 (0·01) −3·41 <0·001 −0·02 (0·02) −1·37 0·168
Income loss- main effect on symptoms load (anxiety and depression) 0·01 (0·04) 0·33 0·738 0·08 (0·02) 4·90 <0·0001
Specific effect of income loss on depression# 0·14 (0·02) 8·19 <0·0001 0·06 (0·01) 8·75 <0·0001
Model 2: Subjective financial strain
Overall COVID-19 worries- main effect on symptoms load (anxiety and depression) 0·13 (0·01) 13·35 <0·0001 0·11 (0·01) 7·86 <0·0001
Worries about family contracting COVID-19- specific effect on Depression@ −0·01 (0·01) −1·03 0·304 −0·02 (0·02) −1·19 0·232
Worries about finance- specific effect on Depression@ 0·17 (0·02) 10·35 <0·0001 0·15 (0·02) 6·08 <0·0001

Values were derived from linear mixed-effects models with financial hardship (objective in Model 1; subjective in Model 2) as independent variables, and standardized symptoms load (standardized PHQ-+ GAD-7 scores in Cohort 1, PROMIS Anxiety and Depression scores in Cohort 2) as dependent variable. Models are adjusted for age, sex, relationship status, income and country of origin. Effect sizes are represented with standardized effect coefficients (β). SE= Standard error.

#

Modeled as the interaction between income loss and type of symptom domain (anxiety/depression).

@

Modeled as the interaction between worry type (family contracting COVID-19/financial concern about impact of COVID-19, contrasted against worries to self-contract COVID-19 as reference) and type of symptom domain (anxiety/depression).