Fruit and rectal cancer.

Total fruit and rectal cancer risk.

Data about the relation between total fruits and rectal cancer risk was provided by 9 cohort studies, including 2,542 + X cases (no amount of cases was provided by one cohort (Park Y [27]).
The average RR = 0.96 (excluding incomplete data from Park Y [27]).
Women: A significant protective effect was found in one cohort examining women only (Terry P [15]), but a significantly increased risk was found in one other cohort among women, but not men (Park Y [27]). No other associations were found.
Men: No associations were found.

Inclusion of intermediate levels of consumption:
Among men, significant protective effects were found in one cohort (Nomura AM [30]) at the 3rd and 4th quintile of consumption (median intakes 298, and 450 g/day).
Among women, significant protective effects were found in one cohort (Nomura AM [30] at the 2nd quintile of consumption (median intake 217 g/d), and in another cohort at > 160 g/day (Terry P [15]). But a significantly increased risk was found in a third cohort (Park Y [27]) at the 4th and 5th quintile of consumption (median intakes 368, and 560 g/day):

RRs for the association between total fruit and rectal cancer risk among men (g/day):

RRs for the association between total fruit and rectal cancer risk among women (g/day):


Effect modification:

  • No effect modification was found by alcohol consumption (15, 18, 25), BMI (15, 18, 25), smoking status (18, 25), physical activity (25), and vitamin supplement use (25).
  • One (25), but not the other (18) cohort showed no effect modification by meat consumption.

Conclusion: Inconsistent findings were done among women only, but no evidence was found for an association between total fruit and rectal cancer risk. No evidence was found for effect modification.

Prospective studies of total fruit and rectal cancer risk:
AuthorCohort nameCasesRelative Risk (RR)
30) Nomura AM (2008)The Multiethnic Cohort Study276 men, and

179 women
Men: RR = 0.80 (0.53-1.21; P = 0.219).
Women: RR = 0.77 (0.46-1.27; P = 0.609).
27) Park Y (2007)The NIH-AARP Diet and Health StudyNot definedMen: RR = 0.99 (0.75-1.30; P = 0.89).
Women: RR = 1.59 (1.04-2.44; P = 0.01).
25) Tsubono Y (2005)The JPHC Study154 men, and

95 women
Men: RR = 1.19 (0.59-2.36; P = 0.42).
Women: RR = 0.84 (0.43-1.65; P = 0.77).
24) Sato Y (2005)The Miyagi Cohort Study110
(not defined, stratified by gender)
Men: RR = 0.28 (0.04-2.09; P = 0.75).
Women: RR = 1.53 (0.68-3.45; P = 0.23).
18) van Duijnhoven FJ (2009)The EPIC Study991HR = 0.96 (0.76-1.21; P = 0.92).
15) Terry P (2001)The Swedish Mammography Screening Cohort159RR = 0.54 (0.33-0.89; P = 0.01).
9) Voorrips LE (2000)The Netherlands Cohort Study215 men, and

119 women
Men: RR = 0.85 (0.55-1.32; P = 0.29).
Women: RR = 0.67 (0.34-1.33).
6) Michels KB (2000)The Health Professionals' Follow-up Study

&

The Nurses' Health Study
89 men, and

155 women
Men: RR = 0.66.
Women: RR = 2.04.
Total number of cases: 2,542 + XAverage RR = 0.96