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. 2018 Oct 14;15(10):2247. doi: 10.3390/ijerph15102247

Table 4.

Associations between local food environment and odds of infrequent vegetable consumption (<7 days/week) among adults in Hong Kong with binary logistic regression models.

Quartile (Min–Max) Model 1 a Model 2 b
OR (95% CI) OR (95% CI)
Retail Food Environment Index (RFEI) Q1 (<2.25) Ref Ref
Q2 (2.25–3.40) 1.11 (0.70, 1.74) 1.26 (0.79, 2.02)
Q3 (3.40–5.76) 1.26 (0.81, 1.96) 1.39 (0.88, 2.20)
Q4 (> 5.76) 1.52 (0.99, 2.33) 1.72 (1.11, 2.68) *
Density of grocery stores Q1 (<20) Ref Ref
Q2 (20–44) 1.14 (0.75, 1.73) 0.99 (0.64, 1.55)
Q3 (44–60) 0.89 (0.57, 1.40) 0.77 (0.48, 1.24)
Q4 (>60) 1.05 (0.69, 1.61) 0.90 (0.58, 1.42)
Density of convenient stores Q1 (<58) Ref Ref
Q2 (58–100) 1.07 (0.68, 1.68) 0.98 (0.61, 1.57)
Q3 (100–222) 1.28 (0.83, 1.97) 1.23 (0.79, 1.92)
Q4 (>222) 1.39 (0.91, 2.12) 1.32 (0.85, 2.06)
Density of Fast-food restaurants Q1 (<13) Ref Ref
Q2 (13–25) 1.17 (0.76, 1.79) 0.94 (0.60, 1.48)
Q3 (25–53) 1.19 (0.78, 1.81) 1.11 (0.71, 1.73)
Q4 (>53) 1.12 (0.73, 1.70) 1.03 (0.66, 1.61)

Density of food outlets was calculated by the number of target food outlet within 1000 m Euclidean buffer of the respondent’s home. All food environment measures were divided into quartiles; * p < 0.05; a Model 1 is an unadjusted model; b Model 2 adjusts for significant covariates: age, gender, marital status, house type, self-reported poverty level, birth place, and whether having under school age children. Ref: reference category.