Table 3.
Linear Regression Predicting the Older Adult Financial Exploitation Measure (OAFEM) with Demographic Predictors, Known Risk Factors of FE, and Social Support Factors (n=336)
| Variables | Model 1: B (β) | Model 2: B (β) | Model 3: B (β) | Model 4: B (β) |
|---|---|---|---|---|
| Age | −.006 (−.094) | −.006 (−.094) | −.005 (−.075) | −.005 (−.075) |
| Gender | .231 (.207)*** | .231 (.207)*** | .259 (.232)*** | .258 (.231)*** |
| Ethnicity | −.019 (−.017) | −.019 (−.017) | −.024 (−.021) | −.021 (−.018) |
| Marital status | .001 (.001) | .000 (.000) | −.034 (−.033) | −.033 (−.031) |
| Education years | .023 (.146)** | .023 (.146)** | .023 (.145)** | .023 (.145)** |
| Dependency | −.007 (−.010) | −.007 (−.010) | −.006 (−.009) | −.005 (−.007) |
| Physical health | −.007 (−.121)* | −.007 (−.121)* | −.006 (−.108) | −.006 (−.108) |
| Depression | .014 (.237)*** | .014 (.238)*** | .014 (.233)*** | .014 (.224)*** |
| Cognition | −.007 (−.027) | −.007 (−.027) | −.008 (−.031) | −.008 (−.031) |
| Social support | .000 (.002) | −.002 (−.022) | ||
| Negative | .091 (.107)* | .090 (.106)* | ||
| Positive | .054 (.087) | .057 (.093) | ||
| Constant | 1.133 | 1.130 | .704 | .735 |
| R 2 | .161 | .161 | .180 | .180 |
| f 2 | .192 | .192 | .220 | .220 |
| F-test | 6.953*** | 6.238*** | 6.467*** | 5.923*** |
Note: *p < .05; **p < .01; ***p < .001. “Number of People in Social Network” is not included in the table due to missing data, but results were similar when the variable is included; Negative = Negative Social Exchanges with Close Network Members; Positive = Positive Social Exchanges with Close Network Members. Gender is coded as Male = 1, Female = 0. Ethnicity is coded as White = 1, Minority = 0. Marital status is coded as 1 = Married, 0 = Others. f2 = R2 / (1−R2). Older Adult Financial Exploitation Measure is the dependent variable.