Table 1

Descriptive statistics of select sample characteristics

	Full sample (N=375)		Excluded sample (N=151)		Analytic sample (N=224)		P value
	N	%	N	%	N	%
Sex (male)	105	28.0	39	25.8	66	29.5	0.514
Education level*							0.325
Less than high school	3	0.81	2	1.3	1	0.5
High school graduate	28	7.5	12	8.1	16	7.2
Some college	90	24.2	43	28.9	47	21.1
Bachelor’s degree	136	36.6	51	34.2	85	38.1
Master’s degree or higher	115	30.9	41	27.5	74	33.2
Household income†							0.006
<US$20 000	10	2.8	4	2.8	6	2.7
US$20 000–US$29 999	7	1.9	5	3.5	2	0.9
US$30 000–US$39 999	27	7.4	9	6.3	18	8.2
US$40 000–US$49 999	24	6.6	14	9.8	10	4.5
US$50 000–US$59 999	35	9.6	15	10.5	20	9.1
US$60 000–US$69 999	24	6.6	10	7.0	14	6.4
US$70 000–US$79 999	35	9.6	15	10.5	20	9.1
US$80 000–US$89 999	142	39.1	38	26.6	104	47.3
US$90 000–US$99 999	5	1.4	3	2.1	2	9.1
US$1 00 000–US$149 999	20	5.5	10	7.0	10	4.5
US$150 000+	34	9.4	20	14.0	14	6.4

	M	SD	M	SD	M	SD
Age	45.3	13.0	44.0	14.3	46.2	12.0	0.119
Range	23.5–78.6		24.8–77.8		23.5–78.6
Walkability	0.03	2.7	0.45	3.1	−0.26	2.4	0.01
Range	−3.7 to 16		−3.7 to 16		−3.6 to 16
Objective MVPA (min/week)	132.6	140.6	130.9	162.4	133.7	124.2	0.85
Range	0–966		0–966		0–603
Objective walking (min/week)	64.4	88.2	66.7	100.4	62.9	79.2	0.69
Range	0–633.5		0–634		0–487

Proportions are computed based on sample with non-missing data.
Chi-square/Fisher’s exact tests (for categorical variables) and linear regression models (for continuous variables) are used to compare the descriptive statistics between the excluded sample and the analytic sample. Variables with significant differences between the excluded and analytic samples indicated in the p value column (p<0.05).
*Education level missing for two individuals in the excluded example and one in the analytic sample. Proportions are computed based on sample with non-missing data.
†Household income missing for eight individuals in the excluded sample and four in the analytic sample.
M, mean; MVPA, moderate-to-vigorous physical activity.