Table 4.

Models for the Association between Place of Birth and BMI Percentile Across Sex, 2006/07–2016/17

	Girls						Boys
POB	Crude			Adjusted			Crude			Adjusted
		95% CI			95% CI			95% CI			95% CI
	B	Lower	Upper	b a	Lower	Upper	b	Lower	Upper	b a	Lower	Upper
NYC	−0.91	−1.02	−0.81	−0.71	−0.82	−0.60	−1.30	−1.39	−1.17	−0.69	−0.80	−0.58
South America	−3.90	−4.16	−3.65	−3.24	−3.51	−2.98	−4.30	−4.57	−4.57	−3.19	−3.46	−2.92
Central America	−2.29	−2.66	−1.93	−1.94	−2.30	−1.58	−4.27	−4.62	−4.62	−3.39	−3.73	−3.04
Dominican Republic	−3.17	−3.32	−3.01	−3.42	−3.58	−3.26	−4.65	−4.56	−4.56	−3.94	−4.11	−3.78
Puerto Rico	−2.00	−2.39	−1.61	−2.16	−2.56	−1.78	−4.64	−5.05	−5.05	−4.18	−4.59	−3.78
Mexico	−1.82	−2.19	−1.46	−1.39	−1.75	−1.02	−2.41	−2.78	−2.78	−1.08	−1.46	−0.70
United States, non-NYC

Boldface indicates statistical significance (p < 0.05).

Beta estimates generated on three-level repeated measures mixed models using SAS PROC GLIMMIX.

^a Adjusted models included baseline age at time of BMI measurement (continuous variable), household poverty status (binary variable), home area poverty (categorical variable), linguistic isolation (categorical variable), and time (an integer value increasing from 0 to 10 corresponding to the number of repeated observations or years that each child was observed in the dataset) as covariates.

CI, confidence interval; non-NYC, not New York City; US, United States.