Dunneram, Y, Greenwood, DC orcid.org/0000-0001-7035-3096 and Cade, JE orcid.org/0000-0003-3421-0121 (2021) Dietary patterns and age of natural menopause: evidence from the UK Women’s Cohort Study. Maturitas, 143. pp. 165-170. ISSN 0378-5122
Abstract
Objectives
To investigate prospective associations between dietary patterns and age of natural menopause.
Study design and main outcome measures
Menopausal status was reported at two time points 4 years apart in the UK Women’s Cohort Study (UKWCS). Diet of participants was measured using a 217-item food frequency questionnaire at baseline. Principal component analysis (PCA) and reduced rank regression (RRR) were used to derive dietary patterns for 13,916 women. Cox proportional hazards regressions were used to estimate hazard ratios (HR) and 95 % confidence intervals (CIs) for each pattern in relation to age at natural menopause, adjusting for potential confounders.
Results
Five patterns were identified from the PCA, labelled as: ‘vegetables and legumes’, ‘animal proteins’, ‘fruits’, ‘fats and sweets’ and ‘low-fat products’. Three patterns were derived from RRR: ‘sweets, pastries and puddings’, ‘low-fat dairy and meat’, and ‘red meat and processed meat’. Women who scored 1 standard deviation higher on the ‘animal proteins’ pattern were 6% more likely to experience a later natural menopause over the study (HR = 0.94, 95 % CI: 0.90–0.97) compared with those who scored lower. The ‘red meat and processed meat’ pattern similary predicted a 7% higher risk for a later menopause during the study (HR = 0.93, 95 % CI: 0.87–1.00) per 1 standard deviation.
Conclusions
Women whose diets are highly loaded with animal proteins, as well as red and processed meats, are more likely to have a later natural menopause.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Keywords: | dietary patterns; natural menopause; UK Women’s Cohort Study; principal component analysis; reduced ranked regression |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Food Science and Nutrition (Leeds) > FSN Nutrition and Public Health (Leeds) The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) > Clinical & Population Science Dept (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 08 Oct 2020 15:17 |
Last Modified: | 09 Oct 2021 00:38 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.maturitas.2020.10.004 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:166414 |