Table 5.

Multivariable regression models of gestational weight gain (GWG) outcomes by consistent tracking and its predictors among not-low income (not-Medicaid eligible) women ^a

	Total GWG in kg b			% with excessive total GWG c
	Estimate (kg)	95% CI	P-value	RR d	95% CI	P-value
Consistent weight tracking	−2.35	−3.23, −1.46	<0.0001	0.73	0.59, 0.89	0.002
Not black race	1.45	−0.12, 3.02	0.07	1.17	0.87, 1.56	0.30
Completed college	−0.53	−1.48, 0.41	0.27	1.01	0.84, 1.22	0.92
No weight advice from health care provider	0.08	−0.80, 0.96	0.86	1.02	0.85, 1.22	0.86
Does not own a smart phone	−0.51	−1.39, 0.38	0.26	0.87	0.72, 1.06	0.16

^aCovariates in the models include body mass index (BMI), age, parity, gestational age at delivery, the number of weeks between the first and last pregnancy weight, and the number of weeks between the last pregnancy weight and delivery.

^bLeast squares multiple regression models used to calculate the estimate, 95% CI and p-values shown in table.

^cA modified Poisson regression approach was used to calculate relative risk (RR), 95% CI, and p-values shown in table.

^dRR, relative risk.