Journal article
Prospective study of dietary fat and risk of uterine leiomyomata
The American journal of clinical nutrition, v 99(5), pp 1105-1116
May 2014
PMID: 24598152
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Uterine leiomyomata (UL) are the primary indication for hysterectomy and are 2-3 times more common in black than white women. High dietary fat intake has been associated with increased endogenous concentrations of estradiol, a sex steroid hormone that is known to influence UL risk.
We assessed the relation of dietary fat intake (total, subtypes, and selected food sources) with UL incidence.
Data were from the Black Women's Health Study, a prospective cohort study. Over an 8-y period (2001-2009), 12,044 premenopausal women were followed for a first diagnosis of UL. Diet was assessed via a food-frequency questionnaire in 2001. Cox regression models were used to compute incidence rate ratios (IRRs) and 95% CIs with adjustment for potential confounders.
During 75,687 person-years of follow-up, there were 2695 incident UL cases diagnosed by ultrasound (n = 2191) or surgery (n = 504). Intakes of total fat and fat subtypes were not appreciably associated with UL risk overall, although statistically significant associations were observed for specific saturated (inverse) and monounsaturated and polyunsaturated (positive) fatty acids. With respect to polyunsaturated fats, the IRR for the highest compared with lowest quintiles of marine fatty acid intake [the sum of omega-3 (n-3) polyunsaturated fatty acids eicosapentanoic acid, docosapentaenoic acid, and docosahexaenoic acid] was 1.18 (95% CI: 1.05, 1.34; P-trend = 0.005). The IRR for the highest compared with lowest categories of dark-meat fish consumption was 1.13 (95% CI: 1.00, 1.28).
In US black women, the most consistent associations of fat intake with UL were small increases in risk associated with intakes of long-chain omega-3 fatty acids. Future studies are warranted to confirm these findings and elucidate which components of fatty foods, if any, are related to UL risk.
Metrics
Details
- Title
- Prospective study of dietary fat and risk of uterine leiomyomata
- Creators
- Lauren A Wise - 1From the Slone Epidemiology Center at Boston University, Boston, MA (LAW, RGR, EAR-N, JRP, and LR), and the Department of Biostatistics and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA (SKK).Rose G Radin - 1From the Slone Epidemiology Center at Boston University, Boston, MA (LAW, RGR, EAR-N, JRP, and LR), and the Department of Biostatistics and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA (SKK).Shiriki K Kumanyika - Boston UniversityEdward A Ruiz-Narváez - 1From the Slone Epidemiology Center at Boston University, Boston, MA (LAW, RGR, EAR-N, JRP, and LR), and the Department of Biostatistics and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA (SKK).Julie R Palmer - 1From the Slone Epidemiology Center at Boston University, Boston, MA (LAW, RGR, EAR-N, JRP, and LR), and the Department of Biostatistics and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA (SKK).Lynn Rosenberg - 1From the Slone Epidemiology Center at Boston University, Boston, MA (LAW, RGR, EAR-N, JRP, and LR), and the Department of Biostatistics and Epidemiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA (SKK).
- Publication Details
- The American journal of clinical nutrition, v 99(5), pp 1105-1116
- Grant note
- CA058420 / NCI NIH HHS R01 CA058420 / NCI NIH HHS UM1 CA164974 / NCI NIH HHS HD055211 / NICHD NIH HHS
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Urban Health Collaborative; Dana and David Dornsife School of Public Health
- Web of Science ID
- WOS:000334895700020
- Scopus ID
- 2-s2.0-84898936845
- Other Identifier
- 991019312614404721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Nutrition & Dietetics