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. 2021 Feb 15;155(3):1137–1157. doi: 10.1007/s11205-021-02627-5

Table 3.

Standardized regression estimates and Bayesian credible intervals (95%) for temporal associations between financial fragility and financial control and well-being (n = 1448)

Outcome Financial fragility
Model M1
Financial control
Model M2
Singular outcomes
Emotional health
Life satisfaction − 0.036 (− 0.096; 0.029) 0.157 (0.070; 0.235)
Happiness − 0.097 (− 0.167; 0.036) 0.147 (0.055; 0.250)
Meaning in life: Things done in life are worthwhile − 0.078 (− 0.146; − 0.006) 0.146 (0.094; 0.199)
Purpose in life − 0.067 (− 0.140; 0.015) 0.092 (0.040; 0.143)
Mental health self-assessment 0.051 (0.005; 0.096) − 0.007 (− 0.044; 0.031)
Number of days with poor mental health 0.090 (0.014; 0.171) − 0.157 (− 0.228; − 0.094)
Number of days feeling sad or depressed 0.183 (0.133; 0.235) − 0.122 (− 0.164; − 0.082)
Number of days feeling worried, tense or anxious 0.110 (0.017; 0.203) − 0.035 (− 0.104; 0.030)
Number of days feeling very healthy and full of energy − 0.046 (− 0.157; 0.066) 0.210 (0.145; 0.270)
Physical health
Physical health self-assessment − 0.035 (− 0.102; 0.037) 0.087 (0.032; 0.145)
Number of days with poor physical health 0.074 (− 0.021; 0.164) − 0.179 (− 0.228; − 0.131)
Number of days feeling pain that makes it hard to do usual activities, such as self-care, work, or recreation 0.059 (− 0.045; 0.151) − 0.112 (− 0.211; − 0.020)
Number of days with insufficient rest or sleep 0.070 (− 0.036; 0.167) − 0.108 (− 0.162; − 0.050)
Social well-being
I am content with my friendships and relationships − 0.131 (− 0.221; 0.045) 0.090 (0.030; 0.151)
My relationships are as satisfying as I would want them to be − 0.102 (− 0.171; − 0.033) 0.052 (− 0.020; 0.131)
Summary measures
Unhealthy days summary measure 0.082 (− 0.003; 0.174) − 0.195 (− 0.270; − 0.106)
Flourishing index − 0.086 (− 0.152; − 0.015) 0.087 (0.028; 0.144)

The analysis samples were restricted to those with valid data on financial fragility, financial control, well-being outcomes and all other covariates. All models in were adjusted for baseline demographics (gender, age, race, marital status, education level, having children, taking care of an elder), baseline financial situation (labor market status, worrying about expenses, housing, food and safety), baseline civic engagement (volunteering, community engagement, voting), baseline lifestyle factors (religious service attendance, practicing a sport, drinking and smoking). Additionally, each model is controlled for a baseline outcome investigated in a particular model