Skip to main content
. 2020 Jun 9;32(10):1297–1308. doi: 10.1177/0898264320923245

Table 3.

Regression Analysis with Frailty at Wave 4 Used as the Dependent Variable, and Social Isolation, Frailty, and Covariate/Confounds (Wave 2) Used as Predictor Variables.

B β t p Lower Bound CI (95%) Higher Bound CI (95%)
Step 1
 Age .02 .12 8.67 .000 .011 .018
 Gender .04 .02 1.60 .111 −.008 .082
 Frailty (Wave 2) .78 .69 44.39 .000 .750 .819
 Educational qualification −.01 −.03 −1.93 .054 −.021 .000
 Smoking .03 .02 1.13 .260 −.019 .071
 Depressive symptoms .01 .02 1.27 .205 −.007 .034
 Psychiatric symptoms −.09 −.02 −1.25 .210 −.234 .051
 Wealth −.01 −.03 −1.86 .063 .000 .000
 Loneliness .02 .04 2.45 .014 .004 .033
Step 2
 SI from a nuclear family .02 .01 .85 .395 −.021 .054
 SI from other immediate family −.05 −.02 −1.40 .161 −.107 .018
 SI from a wider social network .06 .04 2.53 .012 .014 .107

Abbreviations: SI = social isolation; B = unstandardised beta; β = standardised betas; t = t test value; p = probability; CI = confidence interval.

Note. Frailty at Wave 4 is used as a dependent variable, and gender, age, frailty at Wave 2, education level, whether smoker during lifetime, depressive symptoms, psychiatric symptoms in the last two years, wealth, and loneliness (Step 1), and social isolation (Step 2) are used as predictor variables (Sample 2, n = 2192).