Table 1.
Demographics | Urban |
Rural |
||
---|---|---|---|---|
Sample | Population | Sample | Population | |
Number of participants | 102 | 36 | ||
Age [mean (SD)] | 10.06 (.73) [n = 100] | 10.17 (.79) [n = 35] | ||
Gender (% female) | 52.9 [n = 102] | 58.3 [n = 36] | ||
Race (%)† | ||||
Caucasian | 6.4 | 12.5 | 93.3 | 93.5 |
African American | 51.3 | 48.5 | 3.3 | 0.0 |
Hispanic | 29.5 | 30.5 | 0.0 | 3.0 |
Other | 12.8 [n = 78] | 8.5 | 3.3 [n = 30] | 3.5 |
Family income (%)¶ | ||||
$0-$29,999 | 76.0 | 26.7 | ||
$30,000 or above | 24.0 [n = 75] | 73.3 [n = 30] | ||
Maternal years of education§ | ||||
Not a high school graduate | 19.7 | 6.7 | ||
High School graduate | 64.5 | 61.3 | 46.7 | 69.6 |
Bachelor's degree | 15.8 [n = 76] | 21.9 | 46.7 [n = 30] | 16.1 |
Parent self-reported BMI [mean (SD)]‡ | ||||
Mother | 29.3 (6.8) | 26.7 (4.8) | ||
Father | 26.4 (4.4) | 27.2 (5.8) |
Population estimates were based on school-level data [source ref. 27].
Free/reduced lunch eligibility was used as an indicator of family income of the school populations. These data indicate that 85% of the students in the two urban schools were eligible and 58.5% of the students in the two urban schools were eligible.
Population estimates were based on county-level data from the census [source ref. 28] on the percentage of persons aged ≥25 who were high school graduates. These data include both males and females and may therefore be slightly inaccurate estimates of maternal education.
Body mass index (BMI) n: 61 (mother urban); 51 (father urban); 29 (mother rural); 28 (father rural).