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. 2004 Dec;94(12):2170–2176. doi: 10.2105/ajph.94.12.2170

TABLE 2—

Effect of Living With Young Childrenaon Smoking Prevalence Among Woman Aged 18–54 Years: Behavioral Risk Factor Surveillance System (BRFSS) 2000

Nonpoor (≥ $15 000)b Poor (< $15 000)b
Weighted Percentagec of current smoking ORd (95% CI) Weighted Percentagec of current smoking ORd (95% CI)
Total 22.0 0.85 (0.80, 0.90) 32.8 1.07 (0.99, 1.16)
White, non-Hispanic 23.4 0.86 (0.80, 0.92) 44.1 1.14 (1.03, 1.26)
Black, non-Hispanic 16.1 0.73 (0.56, 0.95) 27.4 0.89 (0.73, 1.09)
Hispanic 18.5
  1. 70 (0.53, 0.91)

17.0 0.86 (0.69, 1.08)
Other 15.4 0.87 (0.64, 1.17) 29.6 1.20 (0.88, 1.64)

Note. OR = odds ratio; CI = confidence interval.

aWomen with 1 or more children aged 0–4 years living in the household, compared with women of the same income and race/ethnicity group with no children aged 0–4 years living in the household. Sample was restricted to women aged 18–54 years.

bHousehold income was equivalized to increase comparability across households of different size by division of midpoints of household income by the square root of the number of people in that household.

cWe used weighted percentages to account for differential response rates and design-based variation in probability of selection into the sample by age, gender, and race/ethnicity, with sampling weights provided by the BRFSS 2000.

dThe odds ratios were from a weighted logistic regression model for smoking that included individual-level age, number of children aged 5–17 years, marital status, educational attainment, and race/ethnicity. A random intercept was specified at the state level in each model.