Zhu, D, Chung, H, Pandeya, N et al. (27 more authors) (2018) Relationships between intensity, duration, cumulative dose, and timing of smoking with age at menopause: a pooled analysis of individual data from 17 observational studies. PLoS Medicine, 15 (11). e1002704. ISSN 1549-1277
Abstract
Background
Cigarette smoking is associated with earlier menopause, but the impact of being a former smoker and any dose-response relationships on the degree of smoking and age at menopause have been less clear. If the toxic impact of cigarette smoking on ovarian function is irreversible, we hypothesized even former smokers might experience earlier menopause, and variations in intensity, duration, cumulative dose, as well as age at start/quit of smoking might have varying impacts on the risk of experiencing earlier menopause.
Methods and findings
A total of 207,231 and 27,580 postmenopausal women were included in the cross-sectional and prospective analyses, respectively. They were from 17 studies that contributed data to the International collaboration for a Life course Approach to reproductive health and Chronic disease Events (InterLACE). Information on smoking status, cigarettes smoked per day (intensity), smoking duration, pack-years (cumulative dose), age started and years since quitting smoking was collected at baseline. We used multinomial logistic regression models to estimate multivariable relative risk ratios (RRRs) and 95% confidence intervals (CI) for the associations between each smoking measure and categorised age at menopause (<40 (premature), 40-44 (early), 45-49, 50-51 (reference), and ≥52 years). The association with current and former smokers was analysed separately. Sensitivity analyses and two-step meta-analyses were also conducted to test the results. The Bayesian information criterion (BIC) was used to compare the fit of the models of smoking measures.
Overall, 1.9% and 7.3% of women experienced premature and early menopause respectively. Compared with never smokers, current smokers had around twice the risk of experiencing premature (RRR 2.05, 95%CI 1.73-2.44) (p < 0.001) and early menopause (1.80, 1.66-1.95) (p < 0.001). The corresponding RRRs in former smokers were attenuated to (1.13, 1.04-1.23) (p = 0.006) and (1.15, 1.05-1.27) (p = 0.005). In both current and former smokers, dose-response relationships were observed, i.e., higher intensity, longer duration, higher cumulative dose, earlier age at start smoking, and shorter time since quitting smoking were significantly associated with higher risk of premature and early menopause, as well as earlier menopause at 45-49 years. Duration of smoking was a strong predictor of age at natural menopause. Among current smokers with duration of 15-20 years, the risk was markedly higher for premature (15.58, 11.29-19.86) (p < 0.001) and early menopause (6.55, 5.04-8.52) (p < 0.001). Also, current smokers with 11-15 pack-years had over 4-fold (4.35, 2.78-5.92) (p < 0.001) and 3-fold (3.01, 2.15-4.21) (p < 0.001) risk of premature and early menopause respectively. Smokers who had quit smoking for more than ten years had similar risk as never smokers (1.04, 0.98-1.10) (p = 0.176). A limitation of the study is the measurement errors that may have arisen due to recall bias.
Conclusions
The probability of earlier menopause is positively associated with intensity, duration, cumulative dose, and earlier initiation of smoking. Smoking duration is a much stronger predictor of premature and early menopause than others. Our findings highlight the clear benefits for women of early smoking cessation to lower their excess risk of earlier menopause.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2018 Zhu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. (https://creativecommons.org/licenses/by/4.0/) |
Keywords: | Menopause; Smoking habits; Women's health; Global health; Metaanalysis; Menarche; Dose prediction methods; Educational attainment |
Dates: |
|
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: | 26 Oct 2018 09:19 |
Last Modified: | 25 Jun 2023 21:33 |
Status: | Published |
Publisher: | Public Library of Science (PLoS) |
Identification Number: | 10.1371/journal.pmed.1002704 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:137794 |