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. 2021 Oct 4;77(7):e117–e122. doi: 10.1093/geronb/gbab173

Table 2.

OLS Regression Models Predicting Change in Resilience (n = 735)

Model 1 Model 2 Model 3
Beta (SE) Beta (SE) Beta (SE)
Resiliency (baseline) 0.671*** (−0.032) 0.671*** (−0.032) 0.607*** (−0.037)
Total financial hardships −0.047 (−0.063) −0.240* (−0.114) −0.178 (−0.118)
Race
 Black 0.006 (−0.076) −0.065 (−0.079) −0.055 (−0.077)
 Hispanic −0.107 (−0.097) −0.071 (−0.105) 0.046 (−0.106)
Black × Total financial hardships 0.360** (−0.129) 0.284* (−0.133)
Hispanic × Total financial hardships 0.061 (−0.19) 0.026 (−0.18)
COVID-19 exposure
 Self, friend, or family infected 0.059 (−0.056)
 Friend or family died −0.059 (−0.146)
Lost job due to COVID-19 0.006 (−0.087)
Ongoing stressors (baseline)
Ongoing health problems −0.088* (−0.036)
Ongoing financial strain 0.043 (−0.036)
Demographic factors
Female 0.09 (−0.055)
Years of education 0.028* (−0.011)
Age −0.009* (−0.004)
Fair/poor self-rated health −0.178 (−0.095)
Depressive symptoms −0.018 (−0.02)
Constant 0.019 (−0.032) 0.032 (−0.032) 0.319 (−0.333)
R  2 0.457 0.465 0.496
−2 log-likelihood −818.1 −812.8 −790.5

Notes: OLS = ordinary least squares; COVID-19 = coronavirus disease 2019. Standard errors are robust.

Statistical significance indicates: ***p < .001, **p < .01, *p < .05, p < .10.