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. Author manuscript; available in PMC: 2018 Oct 1.
Published in final edited form as: Cancer Epidemiol. 2017 Aug 31;50(Pt A):99–106. doi: 10.1016/j.canep.2017.08.009

Table 1.

Associations between colorectal cancer risk and body mass index and the neighborhood obesogenic environment in males, Multiethnic Cohort, 1993 – 2010

Males Overall
N=35,397
African Americans
N=9,190
Japanese Americans
N=5,222
Latinos
N=16,724
Whites
N=4,261
No. HRa 95% CI p-intb No. HRc 95% CI No. HRc 95% CI No. HRc 95% CI No. HRc 95% CI
Body mass index (kg/m2)
  <18.5 8 1.73 (0.86–3.49) 5 3.25d (1.24–8.54) 2 1.14 (0.28–4.66) 1 0.88 (0.13–6.04) 0
  18.5–24.9 315 1.00 76 1.00 102 1.00 108 1.00 29 1.00
  25.0–29.9 472 1.01 (0.87–1.17) 124 0.95 (0.71–1.27) 72 0.97 (0.70–1.34) 218 0.94 (0.74–1.19) 58 1.57 (0.98–2.51)
  ≥30.0 186 1.18 (0.98–1.43) 80 1.42e (1.03–1.96) 11 1.21 (0.65–2.26) 80 0.97 (0.73–1.31) 15 1.21 (0.62–2.37)

Neighborhood socioeconomic statuse 0.52
  Q5 high 126 1.00 20 1.00 43 1.00 36 1.00 27 1.00
  Q4 209 1.21 (0.96–1.53) 53 1.45 (0.84–2.51) 62 1.19 (0.75–1.88) 66 1.17 (0.79–1.75) 28 1.14 (0.63–2.07)
  Q3 219 1.21 (0.95–1.56) 47 1.11 (0.62–1.96) 42 1.09 (0.68–1.76) 108 1.42 (0.95–2.12) 22 0.96 (0.50–1.85)
  Q2 230 1.09 (0.83–1.44) 79 1.12 (0.62–2.03) 28 1.42 (0.78–2.59) 109 1.12 (0.73–1.74) 14 0.83 (0.35–1.98)
  Q1 low 196 1.06 (0.77–1.45) 86 1.07 (0.56–2.02) 12 1.36 (0.57–3.26) 87 1.07 (0.64–1.78) 11 1.33 (0.48–3.72)
  p-trendf 0.95 0.52 0.38 0.94 0.95

Population densitye 0.67
  Q5 high 171 1.00 62 1.00 23 1.00 73 1.00 13 1.00
  Q4 225 1.02 (0.82–1.28) 82 0.89 (0.62–1.28) 29 0.80 (0.40–1.58) 95 1.17 (0.82–1.68) 19 1.20 (0.56–2.56)
  Q3 229 0.99 (0.78–1.27) 61 0.81 (0.53–1.22) 50 0.85 (0.42–1.73) 96 1.10 (0.74–1.62) 22 1.04 (0.44–2.43)
  Q2 189 1.05 (0.81–1.37) 38 0.81 (0.50–1.33) 50 0.92 (0.46–1.85) 84 1.28 (0.85–1.93) 17 0.75 (0.31–1.84)
  Q1 low 167 0.97 (0.72–1.31) 42 0.88 (0.51–1.51) 35 0.72 (0.32–1.62) 59 1.05 (0.66–1.70) 31 1.29 (0.55–3.02)
  p-trendf 0.96 0.53 0.69 0.72 0.87

Restaurant environment indexg 0.65
  0h 176 1.00 35 1.00 35 1.00 85 1.00 21 1.00
  Q1 low 198 0.97 (0.76–1.23) 42 1.23 (0.71–2.14) 45 0.79 (0.44–1.43) 86 0.95 (0.67–1.34) 25 1.27 (0.57–2.81)
  Q2 190 0.95 (0.75–1.20) 51 1.08 (0.65–1.80) 41 0.94 (0.55–1.61) 75 0.86 (0.61–1.22) 23 1.21 (0.57–2.57)
  Q3 184 0.92 (0.73–1.17) 55 0.88 (0.53–1.48) 30 1.06 (0.60–1.90) 79 0.87 (0.62–1.23) 20 1.21 (0.54–2.72)
  Q4 & <1 170 0.96 (0.76–1.23) 79 1.12 (0.68–1.83) 23 1.25 (0.71–2.23) 59 0.85 (0.58–1.24) 9 0.80 (0.31–2.04)
  Q4 & ≥1 19 0.85 (0.54–1.33) 9 1.32 (0.62–2.81) 1 0.31 (0.04–2.25) 9 1.02 (0.52–1.97) 0
  No restaurants 44 1.22 (0.79–1.87) 14 0.59 (0.21–1.70) 12 2.58d (1.13–5.89) 14 1.54 (0.86–2.77) 4 0.63 (0.24–1.69)
  p-trendf 0.55 0.80 0.44 0.29 0.41

Retail food environment indexi 0.27
  0i 33 0.92 (0.62–1.38) 8 1.96 (0.80–4.81) 8 0.90 (0.40–2.04) 12 0.65 (0.35–1.20) 5 1.42 (0.52–3.90)
  Q1 low 206 1.00 48 1.00 36 1.00 109 1.00 13 1.00
  Q2 226 1.15 (0.95–1.39) 74 1.24 (0.85–1.80) 31 0.84 (0.50–1.40) 99 1.19 (0.89–1.59) 22 1.58 (0.77–3.21)
  Q3 208 1.04 (0.85–1.28) 53 0.84 (0.56–1.27) 47 1.06 (0.63–1.76) 83 1.02 (0.75–1.39) 25 1.89 (0.87–4.12)
  Q4 high 273 1.11 (0.91–1.36) 86 1.15 (0.77–1.73) 57 0.97 (0.59–1.59) 97 0.95 (0.69–1.30) 33 2.14d (1.00–4.57)
  No retail food 35 1.08 (0.69–1.68) 16 2.68d (1.02–7.03) 8 0.83 (0.30–2.33) 7 0.73 (0.31–1.71) 4 1.00 (0.31–3.22)
  p-trendf 0.32 0.77 0.81 0.94 0.056

Number of recreational facilitiesk 0.50
  3+ 302 1.00 69 1.00 82 1.00 113 1.00 38 1.00
  2 189 1.10 (0.91–1.34) 68 1.28 (0.91–1.80) 25 0.85 (0.53–1.38) 83 1.14 (0.84–1.54) 13 0.89 (0.45–1.79)
  1 242 1.15 (0.95–1.39) 62 1.15 (0.77–1.70) 47 1.29 (0.84–1.99) 107 1.02 (0.76–1.39) 26 1.70 (0.94–3.08)
  0 248 1.04 (0.85–1.29) 86 1.06 (0.72–1.57) 33 0.99 (0.58–1.70) 104 0.98 (0.70–1.36) 25 1.37 (0.75–2.49)
  p-trendf 0.45 0.95 0.74 0.42 0.75

Commute by car/motorcyclee 0.72
  Q1 low 177 1.00 65 1.00 20 1.00 77 1.00 15 1.00
  Q2 162 0.83 (0.67–1.05) 66 1.23 (0.86–1.78) 24 0.96 (0.49–1.88) 60 0.65d (0.45–0.94) 12 0.57 (0.26–1.25)
  Q3 202 0.97 (0.77–1.22) 52 1.21 (0.83–1.78) 41 1.15 (0.57–2.31) 86 0.77 (0.54–1.12) 23 1.12 (0.50–2.50)
  Q4 217 0.84 (0.65–1.08) 51 1.16 (0.75–1.80) 44 0.91 (0.44–1.89) 92 0.66d (0.44–1.00) 30 0.85 (0.37–1.95)
  Q5 high 222 0.85 (0.66–1.11) 51 1.22 (0.75–1.97) 58 1.20 (0.60–2.41) 91 0.66 (0.43–1.01) 22 0.60 (0.26–1.38)
  p-trendf 0.35 0.59 0.58 0.17 0.39

Total number of businessesl 0.048
  Q5 high 206 1.00 46 1.00 64 1.00 66 1.00 30 1.00
  Q4 202 1.12 (0.91–1.38) 69 1.17 (0.77–1.77) 48 1.19 (0.77–1.85) 69 1.16 (0.80–1.68) 16 0.87 (0.44–1.71)
  Q3 172 1.02 (0.81–1.28) 54 0.79 (0.49–1.28) 23 0.92 (0.53–1.60) 72 1.21 (0.83–1.75) 23 1.34 (0.67–2.67)
  Q2 195 1.13 (0.89–1.43) 56 1.03 (0.64–1.64) 22 0.91 (0.49–1.67) 100 1.34 (0.91–1.95) 17 0.98 (0.48–2.00)
  Q1 low 206 1.15 (0.89–1.49) 60 0.91 (0.53–1.56) 30 1.17 (0.62–2.20) 100 1.45 (0.96–2.21) 16 0.74 (0.33–1.63)
  p-trendf 0.37 0.48 0.96 0.07 0.63

Traffic densitym 0.78
  Q1 low 199 1.00 53 1.00 38 1.00 85 1.00 23 1.00
  Q2 205 1.15 (0.92–1.43) 55 1.06 (0.66–1.71) 41 1.46 (0.88–2.40) 89 1.08 (0.78–1.49) 20 1.10 (0.56–2.18)
  Q3 174 1.02 (0.81–1.29) 57 0.98 (0.61–1.57) 27 1.14 (0.64–2.02) 75 1.01 (0.72–1.42) 15 0.81 (0.39–1.69)
  Q4 182 1.10 (0.87–1.39) 64 1.08 (0.67–1.74) 42 1.38 (0.83–2.28) 54 0.92 (0.63–1.34) 22 0.95 (0.45–1.98)
  Q5 high 221 1.29d (1.03–1.61) 56 1.22 (0.76–1.96) 39 1.47 (0.84–2.57) 104 1.23 (0.89–1.70) 22 0.95 (0.47–1.91)
  p-trendf 0.056 0.40 0.30 0.34 0.77

Street connectivitye, n 0.31
  Q5 high 152 1.00 66 1.00 27 1.00 46 1.00 13 1.00
  Q4 178 1.17 (0.93–1.45) 79 1.42d (1.01–1.99) 24 0.91 (0.52–1.60) 59 1.01 (0.68–1.49) 16 1.32 (0.63–2.75)
  Q3 193 1.18 (0.94–1.49) 54 1.26 (0.86–1.85) 36 0.99 (0.55–1.79) 82 1.23 (0.84–1.82) 21 1.41 (0.70–2.83)
  Q2 193 0.93 (0.74–1.18) 34 0.73 (0.46–1.15) 46 0.82 (0.45–1.47) 93 1.07 (0.74–1.56) 20 0.98 (0.47–2.05)
  Q1 low 265 1.10 (0.86–1.41) 52 1.23 (0.77–1.95) 54 0.83 (0.45–1.55) 127 1.19 (0.81–1.76) 32 1.10 (0.52–2.30)
  p-trendf 0.89 0.80 0.49 0.37 0.86
a

Adjusted for clustering effect of block group, age, race/ethnicity, body mass index, family history of colorectal cancer, history of intestinal polyps, education, pack-years of smoking, multivitamin use, nonsteroidal anti-inflammatory medication use, alcohol consumption, vigorous physical activity, history of diabetes, calories, red meat, dietary fiber, calcium, folacin, vitamin D, and all of the neighborhood variables presented in the table; age was the time metric.

b

Heterogeneity of the trend across race/ethnicity, excluding missing values, no restaurants for restaurant environment index, and no retail food for retail food environment.

c

Adjusted for clustering effect of block group, age, body mass index, family history of colorectal cancer, history of intestinal polyps, education, pack-years of smoking, multivitamin use, nonsteroidal anti-inflammatory medication use, alcohol consumption, vigorous physical activity, history of diabetes, calories, red meat, dietary fiber, calcium, folacin, vitamin D, and all of the neighborhood variables presented in the table; age wast the time metric.

d

p-value 0.01–<0.05

e

Census 1990 block-group level measures; quintiles based on Los Angeles County distribution.

f

p-trend analysis excluding missing values, no restaurants, and no retail food.

g

Residential buffer measure within a 1600 meter network distance; ratio of the average number of fast food restaurants to other restaurants; quartiles based on sample distribution.

h

No fast food restaurants, but other restaurants.

i

Residential buffer measure within a 1600 meter network distance; ratio of the average number of convenience stores, liquor stores, and fast food restaurants to supermarkets and farmers' markets; quartiles based on sample distribution.

j

No convenience stores, liquor stores, or fast food restaurants, but supermarkets or farmers' markets

k

Within a 1600 meter network distance.

l

Annual average number of businesses that were active during a 3-year window within a 1600 meter network distance; quintiles based on sample distribution.l

m

Traffic density within a 500 meter network distance; vehicle kilometers traveled (VKmT); quintiles based on sample distribution.

n

Ratio of actual number of street segments to maximum possible number of intersections.

Abbreviations: No., number of cases of invasive colorectal cancer; HR, hazard rate ratio; CI, confidence interval