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. 2017 May 12;19(5):e160. doi: 10.2196/jmir.7457

Table 3.

Multiple regression models identifying predictors of weight loss at 6 months.

Models Coefficients Model summary

Beta (SE) t (df) P R2 Adjusted R2 P
Self-weigh-in


.103 .102 <.001

Weigh-ins/week (n) –1.25 (0.19) –6.54 (2110) <.001



Weeks with ≥3 weigh-ins (%) 0.018 (0.01) 1.59 (2110) .11


Activity


.152 .150 <.001

Tracker days/week –0.54 (0.10) –5.419 (2107) <.001



Steps/day –0.0002 (0.0001) –1.863 (2107) .06



Highly active minutes/day –0.06 (0.01) –4.288 (2107) <.001



Fairly active minutes/day 0.003 (0.004) 0.693 (2107) .49



Lightly active minutes/day –0.002 (0.003) –0.818 (2107) .41


Nutrition/food logging


.123 .121 <.001

Food logs/week (n) 0.01 (0.04) 0.245 (2108) .81



Food log days/week (n) –1.92 (0.20) –9.362 (2108) <.001



Weeks with ≥5 logs (%) 0.08 (0.01) 5.935 (2108) <.001



Weeks with ≥15 logs (%) –0.01 (0.01) –0.654 (2108) .51


Overall


.197 .194 <.001

Weigh-ins/week (n) –0.417 (0.07) –5.619 (2106) <.001



Tracker days/week (n) –0.112 (0.10) –1.081 (2106) .28



Steps/day (n) –0.0001 (0.00006) –2.269 (2106) .02



Highly active mins/day (n) –0.05 (0.01) –4.420 (2106) <.001



Food log days/week (n) –1.30 (0.19) –6.777 (2106) <.001



Weeks with ≥5 logs (%) 0.06 (0.01) 5.097 (2106) <.001