Table 3.
Associations of a 1 SD change in neighborhood characteristics with changes in average number of drinks of beer, wine and liquor consumed per week for men and women: MESA, 2002-2012.a,b
| Ratios of drinks Beer | Ratios of drinks Wine | Ratios of drinks Liquor | |
|---|---|---|---|
| Men | |||
| Neighborhood SES | 0.84 (0.78,0.90) | 1.05 (0.95,1.17) | 0.98 (0.88,1.08) |
| Liquor store densityc | 1.32 (1.13,1.53) d | 1.09 (0.99,1.21) | 1.05 (0.97,1.14) |
| Bar densityc | 0.90 (0.82,1.00) | 1.00 (0.94,1.07) | 1.03 (0.95,1.12) |
| Total alcohol outlet densityc | 1.12 (0.93,1.34)d | 1.02 (0.95,1.10) | 1.04 (0.96,1.25) |
| Women | |||
| Neighborhood SES | 0.76 (0.65,0.88) | 0.92 (0.82,1.04)d | 1.07 (0.98,1.17) |
| Liquor store densityc | 1.37 (0.96,1.96)d | 1.16 (1.03,1.32) | 0.88 (0.72,1.08) |
| Bar density c | 1.02 (0.83,1.24)d | 1.03 (0.96,1.13) | 0.77 (0.68,0.87) |
| Total alcohol outlet densityc | 1.14 (0.89,1.45)d | 1.06 (0.97,1.16) | 0.78 (0.68,0.89) |
a
Models include years since baseline exam, age, gender, race/ethnicity, marital status, income, education and employment status, and significant interactions between time-invariant predictors and time.
b
Ratios for continuous neighborhood predictors correspond to a 1 SD change in neighborhood measure.
c
Model includes neighborhood level SES.
d
Estimate corresponds to the within-person deviation term (mean term not included in table).
Bolded values are significant at p<0.05