
Number of drinking days per week^{b}

Number of drinks per week
 
High number of drinks per week relative to others in cohort^{c}

Binge at least once in past 30 days^{c}


(continuous counts)

(continuous counts)

(binary variable)

(binary variable)


Exp

95% CI

P

Exp

95% CI

P

Odds

95% CI

P

Odds

95% CI

P


Exposure
 
(Beta)^{c}

low

high

value

(Beta)^{c}

low

high

value

ratio

low

high

value

ratio

low

high

value


Alcohol outlet density in 1.6 km buffer, per 10,000 population

Quartiles^{d}

Q1.

Lowest

0.0–0.99

Referent

Referent

Referent

Referent

Q2.
 
1.0–1.70

0.98

0.82

1.19

0.864

1.02

0.91

1.14

0.728

1.22

0.65

2.32

0.536

1.03

0.64

1.66

0.905

Q3.
 
1.71–2.8

1.11

0.93

1.33

0.253

1.21

1.09

1.35

0.001

1.97

1.08

3.62

0.028

0.90

0.56

1.45

0.662

Q4.

Highest

2.9–10.7

1.28

1.08

1.52

0.005

1.34

1.21

1.49

<.0001

1.59

0.87

2.92

0.135

1.19

0.75

1.89

0.464

Distance from participant to nearest offpremise outlet

Tertiles, kilometers^{e}

T1.

Nearest

0.021–0.622

Referent

Referent

Referent

Referent

T2.
 
0.623–1.26

1.00

0.86

1.16

0.993

0.96

0.88

1.05

0.386

0.92

0.56

1.51

0.737

1.09

0.72

1.65

0.674

T3.

Farthest

1.27–10.16

0.81

0.67

0.99

0.038

0.79

0.70

0.88

<.0001

0.58

0.30

1.11

0.100

1.28

0.77

2.12

0.346

 Abbreviations: CI confidence interval
 ^{a}Crosssectional results followup, adjusted for age, gender, race/ethnicity, per capita income, educational attainment, history of chronic disease (binary), state. When perpopulation was not part of the exposure measure, then the model also adjusted for population density within a 1.6 km area (operationalized into quartiles)
 ^{b}Poisson regression was used to derive these estimates. Beta coefficients represents the difference in the logs of expected drinking days (per week) for discrete exposure category vs. referent category. Exponentiated beta coefficient represents a relative value. Thus, in crosssectional data the exp.(beta) 1.28 can be interpreted as 28% higher drinking days per month when living in the highest quartile of outlet density (0.29–1.7 per 10,000 population) relative to the lowest quartile (the referent group)
 ^{c}Logistic regression was used to derived these estimates. High number of drinks refers to high consumption relative to others in cohort (top quintile > = 8 drinks per week). Binge in the past 30 days refers to > = 1 time in past 30 days consumed a large volume of alcohol during a single occasion (> = 5 drinks for males, > = 4 drinks for females). For 5 participants, their baseline binge value was used because their followup value was missing
 ^{d}The following information attempts to aide interpretation of the quartile groups for alcohol outlet density in a 1.6 km buffer, per 10,000 population. Within each quartile of the standardized count, the median (and P25, P75) of the unstandardized 1.6 km density is as follows: Quartile 1: median 0 outlets (0–1); Quartile 2: median 6 outletS (2, 8), Quartile 3: median 7 outlets (3, 13); Quartile 4: median 11 outlets (4, 25)
 ^{e}Tertitle distances in miles: T1. 0.01–0.386 miles, T2. 0.387–0.78 miles, T3. 0.79–6.31 miles