Association between adult weight gain and colorectal cancer: a dose-response meta-analysis of observational studies

Int J Cancer. 2015 Jun 15;136(12):2880-9. doi: 10.1002/ijc.29331. Epub 2014 Nov 24.

Abstract

This study investigated the association between adult weight gain and risk of colorectal cancer (CRC). Using terms related to weight gain and CRC, we searched PubMed, Embase and Web of Science for relevant studies published before June 2014. Two evaluators independently selected studies according to the selection criteria, and eight studies were included (three case-control and five cohort studies). Summary estimates were obtained using fixed- or random-effects models. The relative risk (RR) of the association between adult weight gain and CRC was 1.25 (95% confidence interval [CI], 1.10-1.43); the RR was 1.30 (95% CI, 1.14-1.49) for colon cancer (CC) and 1.27 (95% CI, 1.02-1.58) for rectal cancer (RC) for the highest versus lowest category. For every 5-kg increase in adult weight, the risk increased by 5% (RR, 1.05; 95% CI, 1.02-1.09) for CRC, 6% (RR, 1.06; 95% CI, 1.02-1.11) for CC and 6% (RR, 1.06; 95% CI, 1.03-1.08) for RC. The subgroup analyses showed a positive association between adult weight gain and risk of CRC only in men, and the RR was 1.65 (95% CI, 1.42-1.92) for the highest versus lowest category of adult weight gain and 1.10 (95% CI, 1.06-1.15) for a 5-kg increase in adult weight. In conclusion, there is evidence that adult weight gain is associated with an increased risk of CRC. However, the positive association between adult weight gain and risk of CRC is stronger among men than among women.

Keywords: adult weight gain; colorectal cancer; meta-analysis.

Publication types

  • Meta-Analysis
  • Observational Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Body Mass Index*
  • Case-Control Studies
  • Cohort Studies
  • Colorectal Neoplasms / physiopathology*
  • Female
  • Humans
  • Male
  • Multivariate Analysis
  • Risk Assessment / methods
  • Risk Assessment / statistics & numerical data
  • Risk Factors
  • Sex Factors
  • Weight Gain / physiology*