age at menopause
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2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Zhi-bing Hu ◽  
Ze-xiong Lu ◽  
Feng Zhu

Abstract Background The relationship between women’s reproductive characteristics and stroke events is unclear. We aimed to investigate age at menarche, age at menopause and number of reproductive years in relation to fatal stroke occurrence in the Guangzhou Biobank Cohort Study. Methods In total, 16,504 postmenopausal women without stroke, heart disease or a cancer history at baseline were included and followed up for a median of 12.0 years. After review of available records, 222 stroke deaths were recorded. Cox proportional hazards regression was used to assess the associations between the risk of fatal stroke occurrence and age at menarche, age at menopause and number of reproductive years. Results In the whole cohort, compared with those aged 15 years at menarche, an increased risk of fatal stroke among women at menarche showed respectively in those aged 12 years (aHR (adjusted hazard ratio) = 1.86, 95% confidence interval (CI) 0.96–3.60), aged 13 years (aHR = 1.69, 95% CI 0.98–2.92), aged 17 years (aHR = 1.83, 95% CI 1.10–3.05) and aged ≥ 18 years (aHR = 1.66, 95% CI 1.03–2.70), wherein the associations revealed an atypically U-shaped; similar U-shaped association to the cohort of postmenopausal women born before 1940 released a range of incremental risks of fatal stroke in women at menarche aged ≤ 12 years (aHR = 3.68, 95% CI 1.68–8.05), aged 13 years (aHR = 2.11, 95% CI 1.02–4.34), aged 14 years (aHR = 2.07, 95% CI 1.04), aged 17 years (aHR = 2.30, 95% CI 1.20–4.39) and aged 18 years (aHR = 2.50, 95% CI 1.37–4.57), respectively. Compared with menopausal women aged 51–52 years, those aged < 43 years at menopause had an increased risk for fatal stroke among postmenopausal women born in and after 1940 (aHR = 1.64, 95% CI 0.97–2.78) and postmenopausal women born before 1940 (aHR = 1.97, 95% CI 1.05–3.69). Additionally, compared with those with 32–34 reproductive years, women with ≤ 28 reproductive years had an increased risk for fatal stroke in the whole cohort (aHR = 1.91, 95% CI 1.28–2.86) and the cohort of postmenopausal women born before 1940 (aHR = 1.79, 95% CI 1.15–2.80). Conclusions Younger and older age at menarche, younger age at menopause and fewer reproductive ages were related to an increased risk of fatal stroke in postmenopausal women.


Menopause ◽  
2021 ◽  
Vol 28 (12) ◽  
pp. 1428-1436
Author(s):  
Clara E. Van Ommen ◽  
Elizabeth M. King ◽  
Melanie C. M. Murray

2021 ◽  
Vol 17 (S10) ◽  
Author(s):  
Erin E Sundermann ◽  
Ursula G Saelzler ◽  
Emily Goard Jacobs ◽  
Sarah J Banks ◽  
Aladdin H Shadyab ◽  
...  

Author(s):  
Marta Hernández-García ◽  
Ana Molina-Barceló ◽  
Mercedes Vanaclocha-Espi ◽  
Óscar Zurriaga ◽  
Beatriz Pérez-Gómez ◽  
...  

Abstract Purpose The variation in breast cancer (BC)-risk factor associations between screen-detected (SD) and non-screen-detected (NSD) tumors has been poorly studied, despite the interest of this aspect in risk assessment and prevention. This study analyzes the differences in breast cancer-risk factor associations according to detection method and tumor phenotype in Spanish women aged between 50 and 69. Methods We examined 900 BC cases and 896 controls aged between 50 and 69, recruited in the multicase–control MCC-Spain study. With regard to the cases, 460 were detected by screening mammography, whereas 144 were diagnosed by other means. By tumor phenotype, 591 were HR+, 153 were HER2+, and 58 were TN. Lifestyle, reproductive factors, family history of BC, and tumor characteristics were analyzed. Logistic regression models were used to compare cases vs. controls and SD vs. NSD cases. Multinomial regression models (controls used as a reference) were adjusted for case analysis according to phenotype and detection method. Results TN was associated with a lower risk of SD BC (OR 0.30 IC 0.10–0.89), as were intermediate (OR 0.18 IC 0.07–0.44) and advanced stages at diagnosis (OR 0.11 IC 0.03–0.34). Nulliparity in postmenopausal women and age at menopause were related to an increased risk of SD BC (OR 1.60 IC 1.08–2.36; OR 1.48 IC 1.09–2.00, respectively). Nulliparity in postmenopausal women was associated with a higher risk of HR+ (OR 1.66 IC 1.15–2.40). Age at menopause was related to a greater risk of HR+ (OR 1.60 IC 1.22–2.11) and HER2+ (OR 1.59 IC 1.03–2.45) tumors. Conclusion Reproductive risk factors are associated with SD BC, as are HR+ tumors. Differences in BC-risk factor associations according to detection method may be related to prevailing phenotypes among categories.


Menopause ◽  
2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Lynnette Leidy Sievert ◽  
Laura Huicochea-Gómez ◽  
Diana Cahuich-Campos ◽  
Brian W. Whitcomb ◽  
Daniel E. Brown

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Santi Susanti ◽  
Hariyani Sulistyoningsih

Menopause is a process of transition from a productive period heading slowly to the non-productive time due to reduced estrogen and progesterone. There are many factors associated with menopause. Factors contraceptives may affect the occurrence of menopause, which in women who use hormonal contraseption to have compromised menopause compared to those using a non-hormonal contraception. The purpose of this study was to determine the relationship between hormonal contraception and menopause. The research method uses a Systematic Literature Review. The independent variable is hormonal contraception. The dependent variable is Menopause Age. The population is all research journals with the topic of the relationship between hormonal contraception and age menopause. The sample is a journal of research results of the relationship between hormonal contraception and age menopause. Sample inclusion criteria in this study include: 1). Subjects of the study were postmenopausal women, 2). The type of research is case control and cross sectional 4). National and international journals of the10 years last. The results of the study found that hormonal contraception was associated with age at menopause. Suggestions for women postmenopausal to have a healthy lifestyle and have regular the health check posyandu or to health care facilities. Keywords: contraception, hormonal, menopause


PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0257628
Author(s):  
Jian Wang ◽  
Jing Ning ◽  
Sanjay Shete

Mediation analysis is a statistical method for evaluating the direct and indirect effects of an exposure on an outcome in the presence of a mediator. Mediation models have been widely used to determine direct and indirect contributions of genetic variants in clinical phenotypes. In genetic studies, the additive genetic model is the most commonly used model because it can detect effects from either recessive or dominant models (or any model in between). However, the existing approaches for mediation model cannot be directly applied when the genetic model is additive (e.g. the most commonly used model for SNPs) or categorical (e.g. polymorphic loci), and thus modification to measures of indirect and direct effects is warranted. In this study, we proposed overall measures of indirect, direct, and total effects for a mediation model with a categorical exposure and a censored mediator, which accounts for the frequency of different values of the categorical exposure. The proposed approach provides the overall contribution of the categorical exposure to the outcome variable. We assessed the empirical performance of the proposed overall measures via simulation studies and applied the measures to evaluate the mediating effect of a women’s age at menopause on the association between genetic variants and type 2 diabetes.


2021 ◽  
Author(s):  
Claire Prince ◽  
Gemma C Sharp ◽  
Laura D Howe ◽  
Abigail Fraser ◽  
Rebecca C Richmond

AbstractBackgroundWomen’s reproductive factors include their age at menarche and menopause, the age at which they start and stop having children, and the number of children they have. Studies that have linked these factors with disease risk have largely investigated individual reproductive factors and have not considered the genetic correlation and total interplay that may occur between them. This study aimed to investigate the nature of the relationships between eight female reproductive factors.MethodsWe used data from the UK Biobank and genetic consortia with data available for the following reproductive factors: age at menarche, age at menopause, age at first birth, age at last birth, number of births, being parous, age at first sex and lifetime number of sexual partners. Linkage disequilibrium score regression (LDSC) was performed to investigate the genetic correlation between reproductive factors. We then applied Mendelian randomization (MR) methods to estimate the causal relationships between these factors. Sensitivity analyses were used to investigate directionality of the effects, test for evidence of pleiotropy and account for sample overlap.ResultsLDSC indicated that most reproductive factors are genetically correlated (rg range: |0.06 – 0.94|), though there was little evidence for genetic correlations between lifetime number of sexual partners and age at last birth, number of births and ever being parous (rg < 0.01). MR revealed potential causal relationships between many reproductive factors, including later age at menarche (1 SD increase) leading to a later age at first sexual intercourse (Beta (B)=0.09 SD, 95% confidence intervals (CI)=0.06,0.11), age at first birth (B=0.07 SD, CI=0.04,0.10), age at last birth (B=0.06 SD, CI=0.04,0.09) and age at menopause (B=0.06 SD, CI=0.03,0.10). Later age at first birth was found to lead to a later age at menopause (B=0.21 SD, CI=0.13,0.29), age at last birth (B=0.72 SD, CI=0.67,0.77) and a lower number of births (B=-0.38 SD, CI=-0.44,-0.32).ConclusionThis study presents evidence that women’s reproductive factors are genetically correlated and causally related. Future studies examining the health sequelae of reproductive factors should consider a woman’s entire reproductive history, including the causal interplay between reproductive factors.


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