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. 2013 Jun 5;143(8):1283–1292. doi: 10.3945/jn.113.174920

TABLE 5.

HRs and 95% CIs for invasive bladder cancer according to fruit and vegetable intakes by ethnicity among men

Japanese Americans (n = 25,250)
Latinos (n = 19,746)
Whites (n = 21,333)
P-interaction2
Cases HR (95% CI)1 Cases HR (95% CI)1 Cases HR (95% CI)1
Dietary patterns (factor score)
 Vegetables pattern
  Quartile 1 19 1.00 40 1.00 46 1.00
  Quartile 2 32 0.83 (0.47, 1.48) 15 0.62 (0.33, 1.15) 54 1.66 (1.12, 2.48)
  Quartile 3 39 0.79 (0.44, 1.39) 14 0.72 (0.36, 1.42) 33 1.23 (0.77, 1.94)
  Quartile 4 45 0.77 (0.43, 1.39) 9 0.68 (0.31, 1.49) 15 0.76 (0.42, 1.40)
  P-trend3 0.45 0.22 0.70 0.60
 Fruit and milk pattern
  Quartile 1 55 1.00 15 1.00 21 1.00
  Quartile 2 35 1.01 (0.65, 1.56) 20 0.96 (0.48, 1.93) 30 1.04 (0.59, 1.82)
  Quartile 3 26 1.12 (0.68, 1.82) 19 0.79 (0.39, 1.61) 50 1.49 (0.88, 2.51)
  Quartile 4 19 1.76 (1.00, 3.09) 24 0.68 (0.32, 1.45) 47 1.53 (0.88, 2.66)
  P-trend3 0.13 0.26 0.06 0.005
Foods [g/(1000 kcal · d)]
 Fruits and vegetables
  <216 41 1.00 34 1.00 49 1.00
  216–308 40 1.17 (0.75, 1.83) 17 0.40 (0.22, 0.74) 41 1.05 (0.69, 1.59)
  309–425 33 1.14 (0.71, 1.84) 18 0.48 (0.26, 0.89) 38 1.19 (0.77, 1.84)
  ≥426 21 1.10 (0.64, 1.91) 9 0.36 (0.17, 0.76) 20 0.96 (0.56, 1.65)
  P-trend3 0.72 0.006 0.91 0.006
 Total vegetables
  <107 48 1.00 23 1.00 42 1.00
  107–147 37 0.87 (0.57, 1.34) 19 0.82 (0.44, 1.55) 51 1.54 (1.02, 2.32)
  148–200 28 0.79 (0.49, 1.26) 20 0.85 (0.45, 1.58) 39 1.39 (0.89, 2.15)
  ≥201 22 0.87 (0.52, 1.46) 16 0.71 (0.37, 1.38) 16 0.82 (0.46, 1.46)
  P-trend3 0.51 0.35 0.62 0.60
 Total fruits
  <77.4 39 1.00 33 1.00 40 1.00
  77.4–144 32 0.87 (0.54, 1.41) 20 0.50 (0.27, 0.91) 34 0.95 (0.60, 1.51)
  145–238 36 1.11 (0.69, 1.77) 16 0.56 (0.30, 1.04) 47 1.51 (0.98, 2.34)
  ≥239 28 1.24 (0.74, 2.08) 9 0.40 (0.19, 0.84) 27 1.26 (0.75, 2.10)
  P-trend3 0.27 0.02 0.16 0.002
1

Adjusted for age at cohort entry, ethnicity, total energy intake (log-transformed), first-degree family history of bladder cancer, employment in a high-risk industry, smoking status, average number of cigarettes, squared average number of cigarettes, number of years smoked (time dependent), and number of years since quitting (time dependent).

2

Interaction was tested between Latinos and the other 2 groups (Japanese Americans and whites combined) based on the Wald statistic for cross-product terms of dietary variables and ethnicity in the risk factor-adjusted models.

3

Based on the Wald statistic for a trend variable assigned the sex- and ethnic-specific medians within the appropriate quartiles.