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. 2017 Jul 19;18:36. doi: 10.1186/s12889-017-4598-8

Table 2.

Association between full service and fast food restaurant density (number per km2) and dietary intake among adults living in Delhi, India (N = 5264)

Full service and fast food restaurant density (tertiles)
1 (n = 1737) 2 (n = 1782) 3 (n = 1745)
Meat
 Never or <1/month Referent Referent Referent
 ≥ 1/month but <1/week Referent 1.22 (1.02, 1.46) 1.16 (0.96, 1.40)
 ≥ 1/week but <1/day Referent 1.18 (1.00, 1.40) 0.79 (0.66, 0.95)
 ≥ 1/day Referent 1.56 (0.86, 2.80) 0.63 (0.30, 1.34)
Poultry
 Never or <1/month Referent Referent Referent
 ≥ 1/month but <1/week Referent 1.23 (1.03, 1.46) 1.04 (0.87, 1.25)
 ≥ 1/week but <1/day Referent 1.07 (0.91, 1.27) 0.90 (0.75, 1.07)
 ≥ 1/day Referent 2.57 (0.99, 6.71) 2.12 (0.79, 5.72)
Fish and shellfish
 Never or <1/month Referent Referent Referent
 ≥ 1/month but <1/week Referent 0.95 (0.80, 1.13) 0.79 (0.65, 0.95)
 ≥ 1/week but <1/day Referent 1.02 (0.81, 1.27) 0.72 (0.56, 0.92)
 ≥ 1/day Referent 1.95 (0.78, 4.87) 1.00 (0.36, 2.78)
Eggs
 Never or <1/month Referent Referent Referent
 ≥ 1/month but <1/week Referent 1.24 (1.01, 1.51) 1.19 (0.97, 1.46)
 ≥ 1/week but <1/day Referent 1.10 (0.94, 1.29) 1.01 (0.86, 1.20)
 ≥ 1/day Referent 1.14 (0.84, 1.55) 0.69 (0.49, 0.97)
Dairy
 Never or <1/month Referent Referent Referent
 ≥ 1/month but <1/week Referent 0.94 (0.73, 1.21) 1.15 (0.88, 1.50)
 ≥ 1/week but <1/day Referent 0.97 (0.80, 1.16) 1.19 (0.98, 1.45)
 ≥ 1/day Referent 1.05 (0.88, 1.24) 1.09 (0.91, 1.30)
Nuts and seeds
 Never or <1/month Referent Referent Referent
 ≥ 1/month but <1/week Referent 1.06 (0.89, 1.27) 0.97 (0.80, 1.17)
 ≥ 1/week but <1/day Referent 0.96 (0.79, 1.16) 0.95 (0.79, 1.15)
 ≥ 1/day Referent 1.14 (0.87, 1.50) 1.05 (0.81, 1.37)
Legumes and pulses
 Never or <1/month Referent Referent Referent
 ≥ 1/month but <1/week Referent 0.92 (0.53, 1.58) 1.16 (0.66, 2.04)
 ≥ 1/week but <1/day Referent 0.78 (0.52, 1.17) 0.69 (0.45, 1.06)
 ≥ 1/day Referent 0.72 (0.48, 1.08) 0.87 (0.56, 1.34)
Fruit
 Never or <1/month Referent Referent Referent
 ≥ 1/month but <1/week Referent 1.14 (0.85, 1.53) 0.76 (0.55, 1.05)
 ≥ 1/week but <1/day Referent 0.87 (0.67, 1.12) 0.72 (0.55, 0.95)
 ≥ 1/day Referent 0.92 (0.69, 1.23) 1.03 (0.76, 1.38)
Vegetablesa
 Never or <1/day Referent Referent Referent
 ≥ 1/day Referent 1.13 (0.97, 1.32) 1.28 (1.08, 1.50)
Whole grains
 Never or <1/month Referent Referent Referent
 ≥ 1/month but <1/week Referent 0.89 (0.68, 1.16) 0.93 (0.70, 1.23)
 ≥ 1/week but <1/day Referent 0.80 (0.63, 1.02) 0.80 (0.62, 1.04)
 ≥ 1/day Referent 0.93 (0.76, 1.14) 1.06 (0.86, 1.32)
Refined grains
 Never or <1/month Referent Referent Referent
 ≥ 1/month but <1/week Referent 1.18 (0.85, 1.64) 0.74 (0.52, 1.06)
 ≥ 1/week but <1/day Referent 1.57 (1.22, 2.03) 1.40 (1.07, 1.82)
 ≥ 1/day Referent 1.34 (1.03, 1.74) 1.56 (1.19, 2.04)
Desserts
 Never or <1/month Referent Referent Referent
 ≥ 1/month but <1/week Referent 1.13 (0.88, 1.45) 0.90 (0.70, 1.17)
 ≥ 1/week but <1/day Referent 1.23 (0.98, 1.54) 0.91 (0.72, 1.15)
 ≥ 1/day Referent 1.45 (1.10, 1.92) 1.15 (0.87, 1.52)
Deep-fried foods
 Never or <1/month Referent Referent Referent
 ≥ 1/month but <1/week Referent 1.09 (0.91, 1.31) 1.05 (0.87, 1.27)
 ≥ 1/week but <1/day Referent 0.94 (0.79, 1.11) 0.90 (0.75, 1.08)
 ≥ 1/day Referent 0.90 (0.66, 1.24) 0.84 (0.61, 1.17)
Fruit juice
 Never or <1/month Referent Referent Referent
 ≥ 1/month but <1/week Referent 0.88 (0.74, 1.06) 1.05 (0.87, 1.26)
 ≥ 1/week but <1/day Referent 0.76 (0.64, 0.91) 0.92 (0.77, 1.09)
 ≥ 1/day Referent 0.89 (0.68, 1.16) 1.01 (0.78, 1.31)
Sugar-sweetened beverages
 Never or <1/month Referent Referent Referent
 ≥ 1/month but <1/week Referent 0.85 (0.70, 1.02) 1.02 (0.83, 1.24)
 ≥ 1/week but <1/day Referent 0.66 (0.56, 0.77) 0.97 (0.83, 1.14)
 ≥ 1/day Referent 1.00 (0.71, 1.40) 1.23 (0.88, 1.73)

Values are odds ratios (95% confidence intervals) from multinomial logistic regression adjusted for age, household income, education, and tobacco and alcohol use

aDue to small sample sizes in the “Never or <1/month” and “≥1/month but <1/week” categories for vegetables, this dietary intake variable was modeled as a binary variable using logistic regression and the following two categories: “Never or <1/day” and “≥1/day”