Table 3.
| Regression results for self-monitoring technology use predicting weight change
| Predictor | b | b | sr 2 | sr 2 | Fit |
|---|---|---|---|---|---|
| 95% CI | 95% CI | ||||
| (Intercept) | −3.25 | [−17.69, 11.19] | |||
| Fitbit wear (%) | 0.01 | [−0.01, 0.04] | .00 | [−.01, .02] | |
| Dietary intake (%) | −0.02 | [−0.05, 0.00] | .01 | [−.01, .04] | |
| Weight scale use (%) | −0.05** | [−0.07, −0.02] | .06 | [.00, .11] | |
| Age (years) | −0.04 | [−0.11, 0.02] | .01 | [−.01, .03] | |
| Race/ethnicity (ref. is non-Hispanic white) | −0.01 | [−1.24, 1.22] | .00 | [−.00, .00] | |
| Sex (ref. is female) | −0.25 | [−2.63, 2.12] | .00 | [−.00, .00] | |
| Education (ref. is less than bachelor’s) | 0.54 | [−0.75, 1.82] | .00 | [−.01, .01] | |
| Marital status (ref. is single) | 0.41 | [−1.12, 1.95] | .00 | [−.01, .01] | |
| Study wave (ref. is year 1) | 1.17* | [0.03, 2.32] | .02 | [−.01, .05] | |
| Intervention (ref. is no support) | 0.37 | [−0.76, 1.51] | .00 | [−.01, .01] | |
| Baseline height (inches) | 0.15 | [−0.07, 0.37] | .01 | [−.01, .03] | |
| Baseline weight (kg) | −0.07** | [−0.10, −0.04] | .07 | [.01, .13] | |
| R 2 = .178** |
Note. A significant b-weight indicates the semi-partial correlation is also significant. b represents unstandardized regression weights. sr2 represents the semi-partial correlation squared. LL and UL indicate the lower and upper limits of a confidence interval, respectively.
*p < .05.
**p < .01.