Literature DB >> 35012972

The Association of Predicted Resting Energy Expenditure with Risk of Breast Cancer among Postmenopausal Women in the Women's Health Initiative Cohort.

Marian L Neuhouser1, Thomas E Rohan2, Rhonda S Arthur2, Yasmin Mossavar-Rahmani2, Ross L Prentice1, Aladdin H Shadyab3, Juhua Luo4, Maryam Sattari5, Xiaonan Xue2, Victor Kamensky2, Guo-Chong Chen2, Qibin Qi2, Garnet L Anderson1, Sylvia Wassertheil-Smoller2.   

Abstract

Obesity and obesity-related metabolic disorders, such as diabetes and chronic inflammation, have been positively associated both with postmenopausal breast cancer and with resting energy expenditure (REE). However, there is limited epidemiologic evidence on the associations between REE and risk of postmenopausal breast cancer. We used multivariable Cox proportional hazards models to examine the association between predicted REE (calculated using the Ikeda, Livingston, and Mifflin equations) and risk of postmenopausal breast cancer overall and by subtypes, and by level of body fat) among 137,283 postmenopausal women in the Women's Health Initiative (WHI). All predicted REEs were positively associated with risk of invasive breast cancer [HRq5 vs. q1 = 1.69; 95% confidence interval (CI), 1.57-1.81; HR = 1.69; 95% CI, 1.57-1.82; and HR = 1.68; 95% CI, 1.56-1.80 for Ikeda, Livingston, and Mifflin, respectively]. These positive associations were observed irrespective of the hormone receptor subtype, grade, and stage of the tumors, but were most pronounced for estrogen receptor-positive/progesterone receptor-positive tumors. After additional adjustment for body mass index (BMI), the associations were mostly attenuated and remained statistically significant for most of the outcomes. We also observed an interaction between the predicted REEs and BMI, with the associations being somewhat stronger among normal weight and overweight women than among obese women (Pinteractions < 0.05). Our findings indicate that relatively high REE is associated with increased risk of invasive breast cancer among postmenopausal women (particularly for the obesity-related tumor subtypes), irrespective of the equation used. Further studies using more objective measures of REE are, however, needed to confirm our findings. PREVENTION RELEVANCE: This study showed that higher resting energy expenditure (REE) was associated with higher postmenopausal breast cancer risk. REE provides energy to support cancer-associated disorders such as obesity and inflammation. Thus, studies on its association with breast cancer can help to improve our understanding of the pathophysiology of breast cancer. ©2022 American Association for Cancer Research.

Entities:  

Mesh:

Year:  2022        PMID: 35012972      PMCID: PMC8983492          DOI: 10.1158/1940-6207.CAPR-21-0467

Source DB:  PubMed          Journal:  Cancer Prev Res (Phila)        ISSN: 1940-6215


  27 in total

1.  Outcomes ascertainment and adjudication methods in the Women's Health Initiative.

Authors:  J David Curb; Anne McTiernan; Susan R Heckbert; Charles Kooperberg; Janet Stanford; Michael Nevitt; Karen C Johnson; Lori Proulx-Burns; Lisa Pastore; Michael Criqui; Sandra Daugherty
Journal:  Ann Epidemiol       Date:  2003-10       Impact factor: 3.797

2.  Anthropometric measures and metabolic rate in association with risk of breast cancer (United States).

Authors:  S C Freni; M S Eberhardt; A Turturro; R J Hine
Journal:  Cancer Causes Control       Date:  1996-05       Impact factor: 2.506

Review 3.  Mechanisms of obesity in the development of breast cancer.

Authors:  Stefania Orecchioni; Francesca Reggiani; Giovanna Talarico; Francesco Bertolini
Journal:  Discov Med       Date:  2015-09       Impact factor: 2.970

4.  Low-fat dietary pattern and change in body-composition traits in the Women's Health Initiative Dietary Modification Trial.

Authors:  Cara L Carty; Charles Kooperberg; Marian L Neuhouser; Lesley Tinker; Barbara Howard; Jean Wactawski-Wende; Shirley A A Beresford; Linda Snetselaar; Mara Vitolins; Matthew Allison; Nicole Budrys; Ross Prentice; Ulrike Peters
Journal:  Am J Clin Nutr       Date:  2010-12-22       Impact factor: 7.045

5.  Indirect calorimetry protocol development for measuring resting metabolic rate as a component of total energy expenditure in free-living postmenopausal women.

Authors:  N K Horner; J W Lampe; R E Patterson; M L Neuhouser; S A Beresford; R L Prentice
Journal:  J Nutr       Date:  2001-08       Impact factor: 4.798

Review 6.  Cancer-related inflammation.

Authors:  Juliana Candido; Thorsten Hagemann
Journal:  J Clin Immunol       Date:  2012-12-09       Impact factor: 8.317

7.  Simultaneous association of total energy consumption and activity-related energy expenditure with risks of cardiovascular disease, cancer, and diabetes among postmenopausal women.

Authors:  Cheng Zheng; Shirley A Beresford; Linda Van Horn; Lesley F Tinker; Cynthia A Thomson; Marian L Neuhouser; Chongzhi Di; JoAnn E Manson; Yasmin Mossavar-Rahmani; Rebecca Seguin; Todd Manini; Andrea Z LaCroix; Ross L Prentice
Journal:  Am J Epidemiol       Date:  2014-07-12       Impact factor: 4.897

8.  Prediction of basal metabolic rate in overweight/obese and non-obese subjects and its relation to pulmonary function tests.

Authors:  Tarig H Merghani; Azza O Alawad; Rihab M Ibrahim; Asim M Abdelmoniem
Journal:  BMC Res Notes       Date:  2015-08-15

9.  Associations Between C-Reactive Protein, Insulin Sensitivity, and Resting Metabolic Rate in Adults: A Mediator Analysis.

Authors:  Theresa Drabsch; Christina Holzapfel; Lynne Stecher; Julia Petzold; Thomas Skurk; Hans Hauner
Journal:  Front Endocrinol (Lausanne)       Date:  2018-09-20       Impact factor: 5.555

10.  Total energy expenditure measured using doubly labeled water compared with estimated energy requirements in older adults (≥65 y): analysis of primary data.

Authors:  Judi Porter; Kay Nguo; Jorja Collins; Nicole Kellow; Catherine E Huggins; Simone Gibson; Zoe Davidson; Dale Schoeller; Ross Prentice; Marian L Neuhouser; Linda Snetselaar; Helen Truby
Journal:  Am J Clin Nutr       Date:  2019-12-01       Impact factor: 7.045

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.