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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 2.

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

Females Overall
N=45,800
African Americans
N=15,903
Japanese Americans
N=5,415
Latinas
N=16,836
Whites
N=7,646
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 30 1.71d (1.17–2.50) 8 1.95 (0.92–4.12) 15 1.87e (1.07–3.27) 3 1.63 (0.53–5.03) 4 1.52 (0.55–4.22)
  18.5–24.9 326 1.00 97 1.00 91 1.00 73 1.00 65 1.00
  25.0–29.9 332 1.06 (0.91–1.25) 157 1.03 (0.80–1.34) 25 0.97 (0.60–1.57) 97 1.06 (0.79–1.43) 53 1.12 (0.77–1.63)
  ≥30.0 304 1.30d (1.09–1.55) 162 1.13 (0.87–1.47) 10 1.83 (0.92–3.62) 89 1.41e (1.01–1.97) 43 1.45 (0.96–2.19)

Neighborhood socioeconomic statusf 0.57
  Q5 high 111 1.00 22 1.00 34 1.00 21 1.00 34 1.00
  Q4 197 1.14 (0.90–1.43) 67 1.13 (0.72–1.77) 45 1.14 (0.67–1.94) 29 0.69 (0.39–1.23) 56 1.50 (0.96–2.33)
  Q3 216 1.12 (0.88–1.43) 74 1.07 (0.67–1.69) 41 1.07 (0.63–1.81) 61 0.94 (0.56–1.59) 40 1.23 (0.75–2.02)
  Q2 258 1.12 (0.87–1.46) 129 1.19 (0.75–1.89) 13 0.62 (0.29–1.36) 89 0.98 (0.57–1.68) 27 1.22 (0.64–2.32)
  Q1 low 210 1.06 (0.78–1.43) 132 1.14 (0.70–1.84) 8 1.07 (0.38–2.98) 62 0.83 (0.43–1.57) 8 0.90 (0.34–2.40)
  p-trendg 0.81 0.67 0.55 0.88 0.92

Population densityf 0.68
  Q5 high 187 1.00 89 1.00 13 1.00 68 1.00 17 1.00
  Q4 244 0.97 (0.78–1.20) 135 1.15 (0.86–1.55) 26 1.08 (0.50–2.35) 62 0.71 (0.48–1.05) 21 0.69 (0.33–1.43)
  Q3 238 0.97 (0.77–1.24) 97 1.12 (0.77–1.62) 41 1.38 (0.61–3.11) 53 0.60e (0.38–0.94) 47 1.04 (0.53–2.06)
  Q2 178 1.00 (0.77–1.30) 53 1.02 (0.66–1.56) 32 1.19 (0.49–2.91) 45 0.73 (0.46–1.17) 48 1.06 (0.53–2.10)
  Q1 low 145 0.91 (0.68–1.21) 50 1.04 (0.63–1.73) 29 1.46 (0.58–3.68) 34 0.74 (0.45–1.21) 32 0.60 (0.28–1.28)
  p-trendg 0.70 0.96 0.46 0.37 0.46

Restaurant environment indexh 0.07
  0i 163 1.00 47 1.00 25 1.00 45 1.00 46 1.00
  Q1 low 194 0.98 (0.77–1.24) 73 1.17 (0.77–1.78) 45 1.66 (0.87–3.16) 48 0.79 (0.50–1.24) 28 0.70 (0.39–1.26)
  Q2 213 1.08 (0.85–1.35) 78 0.99 (0.66–1.47) 40 2.02e (1.10–3.70) 55 0.96 (0.63–1.48) 40 1.07 (0.64–1.81)
  Q3 191 0.97 (0.76–1.23) 86 0.92 (0.61–1.38) 18 1.48 (0.75–2.95) 62 1.06 (0.69–1.63) 25 0.76 (0.42–1.37)
  Q4 & <1 178 0.93 (0.72–1.19) 115 1.01 (0.67–1.52) 9 1.18 (0.51–2.68) 39 0.99 (0.62–1.59) 15 0.54 (0.27–1.07)
  Q4 & ≥1 27 1.29 (0.84–1.99) 12 1.16 (0.58–2.32) 1 0.67 (0.09–5.23) 11 2.21e (1.11–4.40) 3 0.63 (0.20–2.02)
  No restaurants 26 0.71 (0.45–1.13) 13 0.74 (0.40–1.37) 3 0.37 (0.10–1.38) 2 0.74 (0.17–3.26) 8 0.75 (0.34–1.62)
  p-trendg 0.94 0.78 0.79 0.15 0.14

Retail food environment indexj 0.49
  0j 26 0.93 (0.62–1.37) 9 1.45 (0.70–2.99) 6 1.67 (0.71–3.94) 3 0.38 (0.12–1.19) 8 1.04 (0.44–2.48)
  Q1 low 226 1.00 90 1.00 31 1.00 75 1.00 30 1.00
  Q2 218 0.87 (0.71–1.05) 100 0.88 (0.65–1.18) 22 0.56 (0.30–1.03) 67 1.01 (0.70–1.45) 29 1.03 (0.61–1.76)
  Q3 222 0.85 (0.70–1.03) 92 0.76 (0.56–1.04) 38 0.81 (0.47–1.39) 57 0.95 (0.65–1.37) 35 1.09 (0.66–1.81)
  Q4 high 274 0.90 (0.74–1.10) 121 0.89 (0.66–1.20) 38 0.73 (0.41–1.30) 60 0.85 (0.56–1.28) 55 1.34 (0.79–2.27)
  No retail food 26 1.00 (0.62–1.64) 12 1.16 (0.51–2.63) 6 2.22 (0.66–7.40) 0 8 1.08 (0.35–3.35)
  p-trendg 0.41 0.27 0.32 0.76 0.25

Number of recreational facilitiesl 0.33
  3+ 323 1.00 117 1.00 70 1.00 83 1.00 53 1.00
  2 183 0.97 (0.80–1.18) 88 0.98 (0.72–1.33) 18 0.82 (0.48–1.40) 53 0.94 (0.64–1.37) 24 1.10 (0.66–1.83)
  1 245 1.02 (0.85–1.24) 106 0.98 (0.73–1.32) 34 1.38 (0.84–2.28) 70 0.85 (0.59–1.22) 35 1.20 (0.74–1.95)
  0 241 0.92 (0.75–1.12) 113 0.82 (0.60–1.12) 19 0.86 (0.44–1.69) 56 0.73 (0.50–1.07) 53 1.64e (1.02–2.65)
  p-trendg 0.82 0.93 0.22 0.23 0.19

Commute by car/motorcyclef 0.62
  Q1 low 176 1.00 110 1.00 12 1.00 42 1.00 12 1.00
  Q2 192 1.09 (0.88–1.36) 92 1.00 (0.74–1.34) 26 1.31 (0.61–2.79) 49 1.29 (0.80–2.06) 25 1.12 (0.54–2.32)
  Q3 203 1.21 (0.96–1.53) 68 1.00 (0.72–1.41) 27 0.99 (0.45–2.19) 64 1.68e (1.06–2.65) 44 1.22 (0.61–2.44)
  Q4 207 1.07 (0.84–1.36) 80 1.16 (0.84–1.60) 42 1.01 (0.45–2.23) 48 1.28 (0.75–2.19) 37 0.65 (0.31–1.36)
  Q5 high 214 1.17 (0.90–1.50) 74 1.28 (0.90–1.82) 34 0.84 (0.38–1.87) 59 1.71e (1.00–2.92) 47 0.73 (0.34–1.55)
  p-trendg 0.42 0.12 0.20 0.12 0.044

Total number of businessesm 0.65
  Q5 high 213 1.00 76 1.00 60 1.00 43 1.00 34 1.00
  Q4 205 0.94 (0.76–1.17) 84 0.81 (0.57–1.17) 32 0.88 (0.54–1.46) 61 1.41 (0.93–2.15) 28 1.09 (0.63–1.87)
  Q3 205 0.94 (0.75–1.17) 105 0.92 (0.65–1.32) 19 0.98 (0.52–1.85) 45 1.02 (0.65–1.60) 36 1.14 (0.64–2.04)
  Q2 191 0.94 (0.74–1.19) 79 0.91 (0.63–1.34) 14 0.71 (0.35–1.43) 63 1.22 (0.78–1.92) 35 1.12 (0.64–1.98)
  Q1 low 178 0.85 (0.65–1.13) 80 0.85 (0.54–1.34) 16 0.69 (0.32–1.51) 50 1.18 (0.71–1.96) 32 0.95 (0.45–2.00)
  p-trendg 0.35 0.81 0.32 0.87 0.94

Traffic densityn 0.78
  Q1 low 205 1.00 77 1.00 34 1.00 60 1.00 34 1.00
  Q2 211 0.97 (0.78–1.19) 87 0.94 (0.68–1.32) 26 0.77 (0.44–1.33) 56 0.81 (0.55–1.20) 42 1.70e (1.04–2.77)
  Q3 188 0.83 (0.67–1.02) 73 0.69e (0.48–0.99) 28 0.87 (0.51–1.48) 44 0.65e (0.44–0.98) 43 1.66e (1.03–2.68)
  Q4 196 0.81 (0.65–1.01) 102 0.84 (0.60–1.19) 26 0.62 (0.34–1.11) 43 0.76 (0.50–1.16) 25 1.10 (0.59–2.03)
  Q5 high 192 0.90 (0.72–1.12) 85 1.02 (0.71–1.46) 27 0.78 (0.44–1.40) 59 0.89 (0.60–1.32) 21 0.89 (0.49–1.62)
  p-trendg 0.16 0.94 0.31 0.62 0.36

Street connectivityf, o 0.32
  Q5 high 194 1.00 116 1.00 18 1.00 39 1.00 21 1.00
  Q4 189 1.06 (0.86–1.30) 103 1.09 (0.84–1.42) 21 1.36 (0.70–2.64) 46 1.06 (0.67–1.68) 19 0.85 (0.46–1.58)
  Q3 163 0.94 (0.76–1.17) 68 0.98 (0.73–1.31) 26 1.16 (0.63–2.11) 47 0.85 (0.55–1.30) 22 0.81 (0.41–1.60)
  Q2 219 1.07 (0.87–1.31) 72 1.10 (0.81–1.51) 38 1.01 (0.57–1.80) 62 0.94 (0.63–1.40) 47 1.13 (0.64–1.98)
  Q1 low 227 1.03 (0.82–1.30) 65 1.20 (0.83–1.75) 38 0.98 (0.51–1.88) 68 0.85 (0.55–1.31) 56 1.21 (0.69–2.14)
  p-trendg 0.78 0.45 0.58 0.38 0.24
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, use of hormone therapy, 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, use of hormone therapy, 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.

d

p-value 0.001–<0.01

e

p-value 0.01–<0.05

f

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

g

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

h

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.

i

No fast food restaurants, but other restaurants.

j

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.

k

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

l

Within a 1600 meter network distance.

m

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

n

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

o

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