Multilevel Factors for Adiposity Change in a Population-Based Prospective Study of Black Breast Cancer Survivors

Bo Qin, Kate Kim, Noreen Goldman, Andrew G. Rundle, Dhanya Chanumolu, Nur Zeinomar, Baichen Xu, Karen S. Pawlish, Christine B. Ambrosone, Kitaw Demissie, Chi Chen Hong, Gina S. Lovasi, Elisa V. Bandera

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

PURPOSE: Unfavorable weight change after breast cancer diagnosis increases the risk of mortality, but individual and neighborhood risk factors affecting postdiagnosis weight and body fat changes are unclear among Black women, who have higher rates of obesity and mortality than any other racial/ethnic group. METHODS: Adiposity changes during the period approximately 10 months-24 months after diagnosis were evaluated among 785 women diagnosed between 2012 and 2018 and enrolled in the Women's Circle of Health Follow-Up Study, a population-based prospective cohort of Black breast cancer survivors in New Jersey. Multilevel factors for weight and fat mass change (with gain or loss defined as a relative difference of 3% or more, and considering whether changes were intentional or unintentional) were estimated using multivariable polytomous logistic regressions and multilevel models. RESULTS: Adiposity gain was prevalent: 28% and 47% gained weight and body fat, respectively, despite a high baseline prevalence of overweight or obesity (86%). Risk factors for fat mass gain included receiving chemotherapy (relative risk ratio: 1.59, 95% CI, 1.08 to 2.33) and residing in neighborhoods with a greater density of fast-food restaurants (relative risk ratio comparing highest with lowest tertile: 2.18, 95% CI, 1.38 to 3.46); findings were similar for weight gain. Only 9% of women had intentional weight loss, and multilevel risk factors differed vastly from unintentional loss. CONCLUSION: Both individual and neighborhood factors were associated with adiposity change among Black breast cancer survivors. Residential environment characteristics may offer clinically meaningful information to identify cancer survivors at higher risk for unfavorable weight change and to address barriers to postdiagnosis weight management.

Original languageEnglish (US)
Pages (from-to)2213-2223
Number of pages11
JournalJournal of Clinical Oncology
Volume40
Issue number20
DOIs
StatePublished - 2022

All Science Journal Classification (ASJC) codes

  • Oncology
  • Cancer Research

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