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Mediating effects of cancer risk factors on the association between race and cancer incidence: analysis of the NIH-AARP Diet and Health Study.

Publication ,  Journal Article
Akinyemiju, T; Moore, JX; Pisu, M
Published in: Ann Epidemiol
January 2018

PURPOSE: Racial disparities exist in the prevalence of cancer-related risk factors and incidence of cancer. The objective of this study is to determine if cancer-related risk factors mediate the association between race and cancer incidence. METHODS: We performed prospective analysis of data from the National Institutes of Health-American Association of Retired Persons Diet and Health Study, years 1995 through 2011. We compared differences in baseline characteristics between black and white participants using χ2 tests and Wilcoxon tests, as appropriate. We determined risk of any cancer and the most common cancer types (i.e., breast, prostate, and colorectal) using Cox Proportional hazards models, adjusted for age, sex, marital status, education, health status, region, and adherence to guidelines on cancer-related risk factors (i.e., body mass index [BMI], smoking status, physical activity, nutrition, and alcohol consumption). We examined the mediation effect of cancer-related risk factors on the association between race and cancer incidence. RESULTS: Among 425,152 participants, 16,110 (3.79%) were black, and 409,042 (96.21%) were white. The white participants were more likely to be aged 65 years and older (35.33% vs. 25.93%), male (60.88% vs. 42.67%), married (70.37% vs. 48.26%), reside in Western US (30.14% vs. 23.88%), be physically active (46.72% vs. 41.94%), and have higher adherence scores (3.14 vs. 3.04). Blacks had reduced risk of breast cancer (adjusted hazard ratio [HR]: 0.82, 95% confidence intervals [CI]: 0.74-0.90) but higher risk of prostate (adjusted HR: 1.86, 95% CI: 1.75-1.98) and colorectal cancer (adjusted HR: 1.17, 95% CI: 1.05-1.31) compared with whites. Nutrition mediated the association between race and breast cancer (6.35% mediated, P < .01), whereas BMI mediated the association between race and colorectal cancer (7.99% mediated, P < .01). CONCLUSIONS: Blacks were at reduced risk of breast cancer but increased risks for prostate and colorectal cancer incidence. Nutrition and BMI exerted small but significant mediating effects on the racial disparity in risk of breast and colorectal cancers, respectively.

Duke Scholars

Published In

Ann Epidemiol

DOI

EISSN

1873-2585

Publication Date

January 2018

Volume

28

Issue

1

Start / End Page

33 / 40.e2

Location

United States

Related Subject Headings

  • White People
  • United States
  • Surveys and Questionnaires
  • Socioeconomic Factors
  • Sex Factors
  • Risk Factors
  • Racial Groups
  • Prostatic Neoplasms
  • Prospective Studies
  • Proportional Hazards Models
 

Citation

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Akinyemiju, T., Moore, J. X., & Pisu, M. (2018). Mediating effects of cancer risk factors on the association between race and cancer incidence: analysis of the NIH-AARP Diet and Health Study. Ann Epidemiol, 28(1), 33-40.e2. https://doi.org/10.1016/j.annepidem.2017.11.003
Akinyemiju, Tomi, Justin Xavier Moore, and Maria Pisu. “Mediating effects of cancer risk factors on the association between race and cancer incidence: analysis of the NIH-AARP Diet and Health Study.Ann Epidemiol 28, no. 1 (January 2018): 33-40.e2. https://doi.org/10.1016/j.annepidem.2017.11.003.
Akinyemiju, Tomi, et al. “Mediating effects of cancer risk factors on the association between race and cancer incidence: analysis of the NIH-AARP Diet and Health Study.Ann Epidemiol, vol. 28, no. 1, Jan. 2018, pp. 33-40.e2. Pubmed, doi:10.1016/j.annepidem.2017.11.003.
Journal cover image

Published In

Ann Epidemiol

DOI

EISSN

1873-2585

Publication Date

January 2018

Volume

28

Issue

1

Start / End Page

33 / 40.e2

Location

United States

Related Subject Headings

  • White People
  • United States
  • Surveys and Questionnaires
  • Socioeconomic Factors
  • Sex Factors
  • Risk Factors
  • Racial Groups
  • Prostatic Neoplasms
  • Prospective Studies
  • Proportional Hazards Models