231
Views
1
CrossRef citations to date
0
Altmetric
ORIGINAL RESEARCH

Comparison of Intake of Animal and Plant Foods and Related Nutrients in Postmenopausal Breast Cancer Survivors and Controls

, MS, RD, LD, , MS, RD, LD, , PhD, , BS, RD, LD, , PhD, RDN, LD, , PhD & , PhD show all
Pages 15-31 | Published online: 17 Feb 2016
 

ABSTRACT

This study’s objective is to assess differences in dietary intakes in breast cancer survivors (n = 13) and women without a history of breast cancer (controls, n = 71). In a cross-sectional design, intake of foods, food groups, nutrients, and non-nutritive sweeteners was assessed using participant-completed three-day food records. All women were postmenopausal (mean age (SD) 58.5 (±3.8) y, 95% White, 2.4% Asian Pacific, and 2.4% Black). The two groups did not differ in age, energy intake, or body mass index (p > 0.05). Compared to controls, survivors consumed less dairy products, animal protein, total protein, and calcium, but more legumes, noncitrus fruit, and carbohydrates (p ≤ 0.05). Calcium intakes were of particular concern in survivors who consumed an average of 686 mg calcium/d, which is <60% of the recommended 1200 mg/d. Given the important role of calcium in bone health and protein in muscle function among aging women, breast cancer survivors may benefit from consultation with a Registered Dietitian or other health professional knowledgeable in nutritional recommendations for postmenopausal breast cancer survivors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 447.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.