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Tschiderer L, Peters SAE, van der Schouw YT, Burgess S, Luijken J, Bijmolt C, Soliman H, Butterworth AS, Wood AM, Tong TYN, Dahm CC, Seekircher L, Tjønneland A, Mellemkjær L, Schulze MB, Masala G, Sieri S, Panico S, Sacerdote C, Boer JMA, Verschuren WMM, Castro-Espin C, Petrova D, Colorado-Yohar SM, Moreno-Iribas C, Weiderpass E, Heath AK, Tzoulaki I, Willeit P, Onland-Moret NC. Reassessing the association between age at menarche and cardiovascular disease: observational and Mendelian randomization analyses. Eur J Prev Cardiol 2025:zwaf051. [PMID: 40099743 DOI: 10.1093/eurjpc/zwaf051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2024] [Revised: 12/13/2024] [Accepted: 01/30/2025] [Indexed: 03/20/2025]
Abstract
AIMS Observational studies have shown a U-shaped association between age at menarche (AAM) and cardiovascular disease (CVD). We assessed non-linearity of the observational association and the potential causal relationship between AAM and CVD using data from the European Prospective Investigation into Cancer and Nutrition-Cardiovascular Disease (EPIC-CVD) study and the UK Biobank. METHODS AND RESULTS We included women without pre-existing myocardial infarction (MI) or stroke at baseline. We estimated hazard ratios for incident MI, ischaemic and haemorrhagic stroke later in life using Cox regression in observational analyses and conducted non-linear Mendelian randomization (MR) based on fractional polynomials and linear MR based on inverse-variance weighted regression. We analysed 283 210 women with a median AAM of 13 (IQR 12-14) years in both EPIC-CVD and the UK Biobank, of which 8468 experienced a MI, 5501 an ischaemic and 1887 a haemorrhagic stroke. The association between AAM and MI and ischaemic stroke was U-shaped with higher risks in women aged ≤12 and ≥16 compared with those aged 13 years at menarche. Our MR analyses found no evidence for non-linearity between genetically proxied AAM and any CVD endpoint later in life, but each year higher genetically proxied AAM was related to a lower risk of MI (hazard ratio 0.92 [95% CI 0.86-0.99]), but not to ischaemic and haemorrhagic stroke. CONCLUSION This study supported non-linear observational associations between AAM and MI and ischaemic stroke. MR analyses suggested a causal relationship between higher AAM and risk of MI without an indication for non-linearity. There was no support for a potential causal link with ischaemic and haemorrhagic stroke.
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Affiliation(s)
- Lena Tschiderer
- Institute of Clinical Epidemiology, Public Health, Health Economics, Medical Statistics and Informatics, Medical University of Innsbruck, Anichstraße 35, Innsbruck 6020, Austria
| | - Sanne A E Peters
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
- The George Institute for Global Health, School of Public Health, Imperial College London, London, UK
- The George Institute for Global Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Stephen Burgess
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Heart and Lung Research Institute, University of Cambridge, Cambridge, UK
- MRC Biostatistics Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Janneke Luijken
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Cheyenne Bijmolt
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Houda Soliman
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Adam S Butterworth
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Heart and Lung Research Institute, University of Cambridge, Cambridge, UK
- NIHR Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, UK
- BHF Centre of Research Excellence, School of Clinical Medicine, Addenbrooke's Hospital, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
| | - Angela M Wood
- NIHR Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- Victor Phillip Dahdaleh Heart and Lung Research Institute, University of Cambridge, Cambridge, UK
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK
| | - Tammy Y N Tong
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | | | - Lisa Seekircher
- Institute of Clinical Epidemiology, Public Health, Health Economics, Medical Statistics and Informatics, Medical University of Innsbruck, Anichstraße 35, Innsbruck 6020, Austria
| | - Anne Tjønneland
- Danish Cancer Institute, Strandboulevarden 49, Copenhagen 2100, Denmark
- Department of Public Health, Section of Environmental Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen DK-1353, Denmark
| | - Lene Mellemkjær
- Danish Cancer Institute, Strandboulevarden 49, Copenhagen 2100, Denmark
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Giovanna Masala
- Clinical Epidemiology Unit, Institute for cancer research, prevention and clinical network (ISPRO), Florence, Italy
| | - Sabina Sieri
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy
| | | | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, AOU Città della Salute e della Scienza University Hospital, Turin, Italy
| | - Jolanda M A Boer
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - W M Monique Verschuren
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Carlota Castro-Espin
- Unit of Nutrition and Cancer, Catalan Institute of Oncology-ICO, L'Hospitalet de Llobregat, Barcelona, Spain
- Nutrition and Cancer Group, Epidemiology, Public Health, Cancer Prevention and Palliative Care Program, Bellvitge Biomedical Research Institute-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Dafina Petrova
- Escuela Andaluza de Salud Pública (EASP), Granada 18011, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada 18012, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid 28029, Spain
| | - Sandra M Colorado-Yohar
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid 28029, Spain
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
- Research Group on Demography and Health, National Faculty of Public Health, University of Antioquia, Medellín, Colombia
| | - Conchi Moreno-Iribas
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid 28029, Spain
- Instituto de Salud Pública y Laboral de Navarra, Pamplona 31003, Spain
- Navarra Institute for Health Research (IdiSNA), Pamplona 31008, Spain
| | - Elisabete Weiderpass
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Alicia K Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Ioanna Tzoulaki
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Biomedical Research institute, Academy of Athens, Athens, Greece
| | - Peter Willeit
- Institute of Clinical Epidemiology, Public Health, Health Economics, Medical Statistics and Informatics, Medical University of Innsbruck, Anichstraße 35, Innsbruck 6020, Austria
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - N Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
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Martinho LCAP, Zaniqueli D, Andreazzi AE, Oliveira CMD, Pereira AC, Alvim RDO. Association between early menarche and hypertension in pre and postmenopausal women: Baependi Heart Study. J Hypertens 2025; 43:318-324. [PMID: 39445614 DOI: 10.1097/hjh.0000000000003908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Accepted: 09/28/2024] [Indexed: 10/25/2024]
Abstract
BACKGROUND Early menarche has been associated with an increased risk of arterial hypertension. Whether the association between early menarche and hypertension is independent of menopausal status is unknown. This study aimed to investigate the association between early menarche and hypertension in pre and postmenopausal women. METHODS This cross-sectional study analyzed data from 1406 women aged 18-100. Age at menarche, menopause status, hemodynamic, anthropometric, and biochemical data were collected by using standard protocols. Menarche <12 years was defined as early menarche. Systolic blood pressure ≥140 mmHg and/or diastolic ≥90 mmHg and/or intake of antihypertensive medication, were used as criteria for hypertension. RESULTS In total, 21.3% of women had early menarche (<12 years), and the frequency of hypertension was 38.7%. Premenopausal women with early menarche had a 58% higher chance of developing hypertension, even after adjusting for age, obesity, and smoking [odds ratio (OR) 1.58; (95% confidence interval, CI 1.016-2.461)]. In postmenopausal women, age, obesity, and diabetes mellitus were predictors of hypertension, while early menarche was not. CONCLUSION The odds of hypertension were higher with early menarche, but only in women of reproductive age. In postmenopausal women, the physiological changes inherent to aging and the presence of more comorbidities, such as diabetes, might overlap the influence of early menarche on hypertension.
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Affiliation(s)
| | - Divanei Zaniqueli
- Clinic of Cardiovascular Investigation, Federal University of Espírito Santo (UFES), Vitória, ES
| | - Ana Eliza Andreazzi
- Department of Biophysics and Physiology, Institute of Biological Sciences, Federal University of Juiz de Fora (UFJF), Juiz de Fora, MG
| | - Camila Maciel de Oliveira
- Laboratory of Genetics and Molecular Cardiology, Heart Institute, University of São Paulo (InCor-FMUSP), São Paulo, SP
| | - Alexandre Costa Pereira
- Laboratory of Genetics and Molecular Cardiology, Heart Institute, University of São Paulo (InCor-FMUSP), São Paulo, SP
| | - Rafael de Oliveira Alvim
- Postgraduate Program in Health Sciences, Federal University of Amazonas (UFAM), Manaus, AM
- Department of Physiological Sciences, Federal University of Amazonas (UFAM), Manaus, AM, Brazil
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Cheng J, Yu H, Pan Z, Miao Z, Ma C, Ji L, Yuan M. Age at menarche, type 2 diabetes, and heart failure: A Mendelian randomization study. Nutr Metab Cardiovasc Dis 2024:103832. [PMID: 40199715 DOI: 10.1016/j.numecd.2024.103832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Revised: 09/22/2024] [Accepted: 12/12/2024] [Indexed: 04/10/2025]
Abstract
BACKGROUND AND AIMS Observational studies suggested that early menarche was associated with type 2 diabetes mellitus (T2DM) and heart failure (HF), but the causal relationships remain uncertain. We aimed to examine the causal relationships of age at menarche (AAM) with T2DM, hemoglobin A1c (HbA1c) and HF using Mendelian randomization (MR). METHODS AND RESULTS A 2-sample MR analysis was conducted using genome-wide association study (GWAS) summary statistics for AAM (n = 279,470), T2D (n = 490,089), HbA1c (n = 389,889) and HF (n = 977,323), and all summary statistics are from European ancestry. Genome-wide significant (P < 5 × 10-8) single nucleotide polymorphisms (SNP) connected to AAM were considered as instrumental variables (IVs). Inverse variance weighted (IVW) method was used for primary analysis. Sensitivity analyses were performed to evaluate the robustness of the results. More than 200 SNPs significantly correlated with AAM were screened as IVs. Later genetically predicted AAM decreased risk of T2DM (odds ratio [OR], 0.881; 95%CI, 0.838-0.926; P = 6.92 × 10-7), HbA1c level (OR, 0.964; 95%CI, 0.948-0.980; P = 2.06 × 10-5), and risk of HF (OR, 0.907; 95%CI, 0.870-0.947; P = 7.98 × 10-6). After excluding SNPs associated with body mass index (BMI), there was still a causal relationship between AAM and outcomes (T2DM: OR [95%CI], 0.926 [0.888-0.966]; HbA1c: OR [95%CI], 0.975 [0.960-0.992]; HF: OR [95%CI], 0.933 [0.894-0.972]). CONCLUSION This MR study provided evidence supporting the causal effect of AAM on T2DM, HbA1c and HF. Routine evaluation of AAM may contribute to the clinical risk stratification and making prevention strategies.
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Affiliation(s)
- Jiayu Cheng
- Department of Endocrinology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China
| | - Hengchi Yu
- Department of Endocrinology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China
| | - Zimo Pan
- Medical School of Chinese PLA, Beijing, 100853, China; Department of Endocrinology, The Second Medical Center & National Clinical Research Center for Geriatric Disease, Chinese PLA General Hospital, Beijing, 100853, China
| | - Zhirong Miao
- Department of Endocrinology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China
| | - Chifa Ma
- Department of Endocrinology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China
| | - Linong Ji
- Department of Endocrinology, Peking University People's Hospital, Beijing, 100044, China.
| | - Mingxia Yuan
- Department of Endocrinology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
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Huan C, Wang M, Song Y, Jia Z, Wei D, Wang L, Xu Q, Wang J, Zhao M, Geng J, Shi J, Ma C, Mao Z, Wang C, Huo W. Inflammatory markers and androstenedione modify the effect of serum testosterone on obesity among men: Findings from a Chinese population. Andrology 2024; 12:850-861. [PMID: 37823215 DOI: 10.1111/andr.13544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 08/15/2023] [Accepted: 09/30/2023] [Indexed: 10/13/2023]
Abstract
BACKGROUND Few studies are available on the relationship of androstenedione with inflammation and obesity and the effect of androstenedione and inflammation on the association between testosterone and obesity. This study intended to examine the mediation effect of inflammatory markers on the association of testosterone with obesity and the moderation effect of androstenedione on the association of testosterone with inflammation and obesity in Chinese rural men. MATERIALS AND METHODS This cross-sectional research enrolled 2536 male rural inhabitants from the Henan Rural Cohort study. The serum concentrations of testosterone and androstenedione were determined by liquid chromatography-tandem mass spectrometry. Linear and logistic regression were used to examine the relationships between testosterone, inflammatory markers, and obesity. Mediation and moderation analyses were carried out to evaluate the potential effects of inflammatory markers on the relationship between testosterone and obesity, as well as androstenedione on the relationships of testosterone with inflammation and obesity. RESULTS After adjusting for confounding factors, the results showed that testosterone and androstenedione were negatively related to obesity, and inflammatory markers were positively associated with obesity. Besides, testosterone and androstenedione were negatively associated with inflammatory markers. Mediation analysis showed that white blood cell, neutrophil, monocyte, and high-sensitivity C-reactive protein had mediating effects on the association between testosterone and obesity. The most vital mediator was high-sensitivity C-reactive protein, and its proportion of the effect was 11.02% (defined by waist circumference), 11.15% (defined by waist-to-hip ratio), 12.92% (defined by waist-to-height ratio), and full mediating effect (defined by body mass index). Moreover, androstenedione played negative moderation effects on the associations of testosterone with inflammation and obesity. CONCLUSION Inflammatory markers and androstenedione were first found to have modifying effects on the association of testosterone with obesity. Higher levels of testosterone and androstenedione could reduce the inflammation level and risk of obesity, indicating their potential roles in the prevention and treatment of chronic diseases.
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Affiliation(s)
- Changsheng Huan
- Department of Occupational and Environmental Health Sciences, College of Public Health, Zhengzhou University, Zhengzhou, Henan, P. R. China
| | - Mian Wang
- Department of Occupational and Environmental Health Sciences, College of Public Health, Zhengzhou University, Zhengzhou, Henan, P. R. China
| | - Yu Song
- Department of Occupational and Environmental Health Sciences, College of Public Health, Zhengzhou University, Zhengzhou, Henan, P. R. China
| | - Zexin Jia
- Department of Occupational and Environmental Health Sciences, College of Public Health, Zhengzhou University, Zhengzhou, Henan, P. R. China
| | - Dandan Wei
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, P. R. China
| | - Lulu Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, P. R. China
| | - Qingqing Xu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, P. R. China
| | - Juan Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, P. R. China
| | - Mengzhen Zhao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, P. R. China
| | - Jintian Geng
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, P. R. China
| | - Jiayu Shi
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, P. R. China
| | - Cuicui Ma
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, P. R. China
| | - Zhenxing Mao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, P. R. China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, P. R. China
| | - Wenqian Huo
- Department of Occupational and Environmental Health Sciences, College of Public Health, Zhengzhou University, Zhengzhou, Henan, P. R. China
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Xing W, Lv Q, Li Y, Wang C, Mao Z, Li Y, Li J, Yang T, Li L. Genetic prediction of age at menarche, age at natural menopause and type 2 diabetes: A Mendelian randomization study. Nutr Metab Cardiovasc Dis 2023; 33:873-882. [PMID: 36775707 DOI: 10.1016/j.numecd.2023.01.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 11/28/2022] [Accepted: 01/13/2023] [Indexed: 01/30/2023]
Abstract
BACKGROUND AND AIMS The relationship between reproductive factors and type 2 diabetes (T2D) is controversial; therefore, we explored the causal relationship of age at menarche (AAM), age at natural menopause (ANM), with the risk of T2D and glycemic traits using two-sample Mendelian randomization. METHODS AND RESULTS We used publicly available data at the summary level of genome-wide association studies, where AAM (N = 329,345), ANM (N = 69,360), T2D (N = 464,389). The inverse variance weighting (IVW) method was employed as the primary method. To demonstrate the robustness of the results, we also conducted various sensitivity analysis methods including the MR-Egger regression, the weighted median (WM) and the MR Pleiotropy RESidual Sum and Outlier (MR-PRESSO) test. After excluding IVs associated with confounders, we found a causal association between later AAM and reduced risk of T2D (OR 0.81 [95% CI 0.75, 0.87]; P = 2.20 × 10-8), lower levels of FI (β -0.04 [95% CI -0.06, -0.01]; P = 2.19 × 10-3), FPG (β -0.03 [95% CI -0.05, -0.007]; P = 9.67 × 10-5) and HOMA-IR (β -0.04 [95% CI -0.06, -0.01]; P = 4,95 × 10-3). As for ANM, we only found a causal effect with HOMA-IR (β -0.01 [95% CI -0.02, -0.005]; P = 1.77 × 10-3), but not with T2D. CONCLUSIONS Our MR study showed a causal relationship between later AAM and lower risk of developing T2D, lower FI, FPG and HOMA-IR levels. This may provide new insights into the prevention of T2D in women.
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Affiliation(s)
- Wenguo Xing
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Quanjun Lv
- Department of Nutrition, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Yuqian Li
- Department of Clinical Pharmacology, School of Pharmaceutical Science, Zhengzhou University, Zhengzhou 450001, Henan, China
| | - Chongjian Wang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Zhenxing Mao
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Yan Li
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Jia Li
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Tianyu Yang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Linlin Li
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
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Chen J, Yan M, Suolang D, Han M, Baima Y, Mi F, Chen L, Guan H, Cai H, Zhao X, Liu Q. Mediation Effect of Obesity on the Association of Age at Menarche With Blood Pressure Among Women in Southwest China. J Am Heart Assoc 2023; 12:e027544. [PMID: 36847068 PMCID: PMC10111443 DOI: 10.1161/jaha.122.027544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/01/2023]
Abstract
Background Previous studies have been inconsistent about the association between age at menarche and high blood pressure. Little is known about such association across a wide range of menarcheal ages in less developed ethnic minority regions in China. We aimed to explore the association between age at menarche and high blood pressure (BP; ≥140/90 mm Hg) and to examine the mediating effect of obesity and the moderating effect of menopausal status on this association. Methods and Results A total of 45 868 women from the baseline data of the CMEC (China Multi-Ethnic Cohort) were included in this study. Binary logistic regression was used to analyze the relationship between age at menarche and high BP, and the mediation model was used to evaluate the mediating effects of body mass index and waist circumference on the association of age at menarche with high BP. The mean age at enrollment and age at menarche of participants in our study were 49.3 (SD=10.7) and 14.7 (SD=2.1) years, respectively. Late menarche was associated with a lower risk of high BP (odds ratio, 0.831 [95% CI, 0.728-0.950]). The risk of high BP decreased by 3.1% with each year's delay in the onset of menarche (P for trend <0.001). Body mass index and waist circumference could partially mediate the association of age at menarche and high BP with the indirect effect of body mass index (odds ratio, 0.998 [95% CI, 0.997-0.998]) and waist circumference (odds ratio, 0.999 [95% CI, 0.998-0.999]). In addition, the mediation effects were modified by the status of menopause. Conclusions Women with late menarche have a lower risk of high BP, and obesity could be one of the important mediators. Obesity prevention is an efficient strategy to reduce the association between age at menarche and high BP, especially in premenopausal women.
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Affiliation(s)
- Jiayi Chen
- West China School of Public Health and West China Fourth Hospital, Sichuan University Chengdu China
| | - Mingxia Yan
- West China School of Public Health and West China Fourth Hospital, Sichuan University Chengdu China
| | - Deji Suolang
- Tibet Center for Disease Control and Prevention Lhasa China
| | - Mingming Han
- Chengdu Center for Disease Control and Prevention Chengdu China
| | | | - Fei Mi
- School of Public Health Kunming Medical University Kunming China
| | - Liling Chen
- Chongqing Municipal Center for Disease Control and Prevention Chongqing China
| | - Han Guan
- School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education Guizhou Medical University Guiyang China
| | - Hui Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center Vanderbilt University School of Medicine Nashville TN
| | - Xing Zhao
- West China School of Public Health and West China Fourth Hospital, Sichuan University Chengdu China
| | - Qiaolan Liu
- West China School of Public Health and West China Fourth Hospital, Sichuan University Chengdu China
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Interaction between gut microbiota and sex hormones and their relation to sexual dimorphism in metabolic diseases. Biol Sex Differ 2023; 14:4. [PMID: 36750874 PMCID: PMC9903633 DOI: 10.1186/s13293-023-00490-2] [Citation(s) in RCA: 48] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 01/30/2023] [Indexed: 02/09/2023] Open
Abstract
Metabolic diseases, such as obesity, metabolic syndrome (MetS) and type 2 diabetes (T2D), are now a widespread pandemic in the developed world. These pathologies show sex differences in their development and prevalence, and sex steroids, mainly estrogen and testosterone, are thought to play a prominent role in this sexual dimorphism. The influence of sex hormones on these pathologies is not only reflected in differences between men and women, but also between women themselves, depending on the hormonal changes associated with the menopause. The observed sex differences in gut microbiota composition have led to multiple studies highlighting the interaction between steroid hormones and the gut microbiota and its influence on metabolic diseases, ultimately pointing to a new therapy for these diseases based on the manipulation of the gut microbiota. This review aims to shed light on the role of sexual hormones in sex differences in the development and prevalence of metabolic diseases, focusing on obesity, MetS and T2D. We focus also the interaction between sex hormones and the gut microbiota, and in particular the role of microbiota in aspects such as gut barrier integrity, inflammatory status, and the gut-brain axis, given the relevance of these factors in the development of metabolic diseases.
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Jung H, Sung YA, Hong YS, Song DK, Hong SH, Lee H. Relationship between age at menarche and metabolic diseases in Korean postmenopausal women: The Korea National Health and Nutrition Examination Survey 2016-2018. PLoS One 2023; 18:e0280929. [PMID: 36696408 PMCID: PMC9876285 DOI: 10.1371/journal.pone.0280929] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 01/12/2023] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND Cardiovascular disease is the leading cause of morbidity and mortality in postmenopausal women. Early menarche may be associated with an increased risk of metabolic diseases such as diabetes and cardiovascular disease. This study aimed to investigate the effect of menarche age and the risk of diabetes and metabolic syndrome in Korean postmenopausal women. METHODS We analyzed 4,933 postmenopausal women (mean age: 64.7 years) using the Korean National Health and Nutritional Examination Survey 2016-2018. Subjects were divided into three groups according to menarche age (early menarche: ≤ 12 years (n = 451), reference: 13-16 years (n = 3,421), and late menarche: ≥ 17 years (n = 1,061)). Logistic regression analysis was used to estimate the odds ratio (OR) for diabetes and metabolic syndrome. RESULTS Women with an early menarche age were younger, more educated, and had higher income than the other groups (p-value < 0.001). There were no differences in body mass index, blood pressure, fasting glucose, HbA1c, and cholesterol levels among the three groups. After adjusting for potential confounding factors, early menarche age was significantly associated with the risk of diabetes (OR 1.435, 95% confidence interval (CI): 1.069-1.928). The prevalence of metabolic syndrome in all subjects was 41.1%. After adjusting for potential confounding factors, the OR of metabolic syndrome in the early menarche group was 1.213 (95% CI: 0.971-1.515). CONCLUSION The risk of diabetes was 1.43 times higher in postmenopausal Korean women with early menarche. Although the risk of metabolic syndrome was not statistically significant, it showed a tendency to increase in the early menarche group. Our results suggest that age at menarche may be helpful in diabetes risk stratification and early interventions for postmenopausal women.
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Affiliation(s)
- Hyein Jung
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Ewha Womans University College of Medicine, Seoul, South Korea
| | - Yeon-Ah Sung
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Ewha Womans University College of Medicine, Seoul, South Korea
| | - Young Sun Hong
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Ewha Womans University College of Medicine, Seoul, South Korea
| | - Do Kyeong Song
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Ewha Womans University College of Medicine, Seoul, South Korea
| | - So-hyeon Hong
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Ewha Womans University College of Medicine, Seoul, South Korea
| | - Hyejin Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Ewha Womans University College of Medicine, Seoul, South Korea
- * E-mail:
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Wu X, Bao L, Liu X, Liao W, Kang N, Sang S, Abdulai T, Zhai Z, Wang C, Li Y. Ideal Cardiovascular Health Metrics Attenuated Association of Age at Menarche With Type 2 Diabetes in Rural China. Int J Public Health 2022; 67:1604261. [PMID: 36111199 PMCID: PMC9469086 DOI: 10.3389/ijph.2022.1604261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 06/10/2022] [Indexed: 11/13/2022] Open
Abstract
Objective: It is not clear whether ideal cardiovascular health (ICH) metrics have an impact on the association between age at menarche and type 2 diabetes (T2DM) in rural postmenopausal Chinese women. Methods: In all, 15,450 postmenopausal women were enrolled from the Henan Rural Cohort study. Logistic regression models and interaction plots were used to analyze associations between age at menarche, ICH metrics and T2DM and interactive effects. Results: Age at menarche was inversely associated with risk of T2DM, with adjusted OR of 1.224, 1.116, 1.00 and 0.971, 0.850 for those with age at menarche ≤13, 14, 15–16 (reference), 17, and ≥18 years, respectively, and each year of delay in menarche age correlated with a 5.1% lower risk of T2DM. Negative interaction effects of age at menarche and number of ICH metrics on the risk of T2DM was observed. Conclusion: Meeting more ICH metrics might attenuate the association between early menstrual age and increased risk of T2DM, implying that meeting a higher number of ICH metrics may be an effective way to prevent T2DM for women of early menarche age.
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Affiliation(s)
- Xueyan Wu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Lei Bao
- The International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Wei Liao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Ning Kang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Shengxiang Sang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Tanko Abdulai
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Zhihan Zhai
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Yuqian Li
- Department of Clinical Pharmacology, School of Pharmaceutical Science, Zhengzhou University, Zhengzhou, China
- *Correspondence: Yuqian Li,
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10
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Al-Taiar A, Al-Sabah R, Shaban L, Sharaf Alddin R, Durgampudi PK, Galadima H. Is age of menarche directly related to vitamin D levels? Am J Hum Biol 2022; 34:e23731. [PMID: 35179273 DOI: 10.1002/ajhb.23731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 01/15/2022] [Accepted: 02/04/2022] [Indexed: 11/05/2022] Open
Abstract
INTRODUCTION Very few studies have examined the direct link between age of menarche and vitamin D level and controversial results have been reported. This study aimed to investigate the association between vitamin D and age of menarche in a group of adolescent girls in an area with plenty of sunshine. METHODS At baseline, data were collected on 722 middle schoolgirls that were randomly selected by probability proportional to size sampling method. Of this group, 598 were followed including 173 who had their menarche during the follow-up. Serum 25-hydroxyvitamin D (25OHD) was measured at baseline using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Data on potential confounders were collected at baseline from the parents using self-administered questionnaire and from schoolgirls through face-to-face interview. Multiple linear regression and time-to-event analysis were used to investigate the association between 25OHD concentration and age of menarche. RESULTS The mean (SD) age of the study group was 12.51 (0.91) years while the main (SD) age of menarche was 11.82 (1.04) years. The prevalence of vitamin D deficiency (<50 nmol/L) among schoolgirls was 91.69%. We found no evidence for the association between 25OHD levels and age of menarche before (β, .00, 95% confidence interval (CI) [-0.01, 0.01]; p = .808) or after (β, .00, 95% CI [-0.01, 0.01]; p = .765) adjusting for potential confounders. We also found no evidence for association between 25OHD status and age of menarche before (p = .424) or after (p = .356) adjusting for potential confounders. Time-to-event analysis showed no association between 25OHD level or status and age of menarche (p = .850). CONCLUSION In Middle Eastern setting, where vitamin D deficiency is common despite plenty of sunshine, vitamin D is not a major determinant of the age at menarche. Regardless of the link between vitamin D and age of menarche, there are several other health benefits of having adequate vitamin D level during childhood and adolescence.
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Affiliation(s)
- Abdullah Al-Taiar
- School of Community & Environmental Health, College of Health Sciences, Old Dominion University, Norfolk, Virginia, USA
| | - Reem Al-Sabah
- Department of Community Medicine and Behavioral Sciences, Faculty of Medicine, Kuwait University, Kuwait City, Kuwait
| | - Lemia Shaban
- Department of Food Science and Nutrition, College of Life Sciences, Kuwait University, Kuwait City, Kuwait
| | - Reem Sharaf Alddin
- School of Community & Environmental Health, College of Health Sciences, Old Dominion University, Norfolk, Virginia, USA
| | - Praveen K Durgampudi
- School of Community & Environmental Health, College of Health Sciences, Old Dominion University, Norfolk, Virginia, USA
| | - Hadiza Galadima
- School of Community & Environmental Health, College of Health Sciences, Old Dominion University, Norfolk, Virginia, USA
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11
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Fan HY, Huang YT, Chen YY, Hsu JB, Li HY, Su TC, Lin HJ, Chien KL, Chen YC. Systolic blood pressure as the mediator of the effect of early menarche on the risk of coronary artery disease: A Mendelian randomization study. Front Cardiovasc Med 2022; 9:1023355. [PMID: 36698922 PMCID: PMC9868731 DOI: 10.3389/fcvm.2022.1023355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 12/19/2022] [Indexed: 01/11/2023] Open
Abstract
Background Menarche timing may not be directly associated with the risk of coronary artery disease (CAD). Therefore, we investigated the roles of metabolic factors in explaining the effect of age at menarche on CAD risk. Methods We identified women with age at menarche and CAD by using three analytical methods: Mendelian randomization (MR), logistic regression analysis, and Cox proportional hazard regression. The first two analyses were performed in the Taiwan Biobank (N = 71,923) study, and the last analysis was performed in the Chin-Shan Community Cardiovascular Cohort study (N = 1,598). We further investigated the role of metabolic factors in mediating the effect of age at menarche on CAD risk by using three complementary methods with mediation analyses. Results One standard deviation of earlier age at menarche was associated with a 2% higher CAD risk [odds ratio = 1.02, 95% confidence interval (CI) = 1.001-1.03] in the MR analysis, an 11% higher risk (odds ratio = 1.11, 95% CI = 1.02-1.21) in the logistic regression analysis, and a 57% higher risk (hazard ratio = 1.57, 95% CI = 1.12-2.19) in the Cox proportional hazard regression. All the analyses consistently supported the role of systolic blood pressure in mediating this effect. The MR results indicated that 29% (95% CI = 26%-32%) of the effect of genetically predicted earlier age at menarche on CAD risk was mediated by genetically predicted systolic blood pressure. Conclusion The results obtained using different analytical methods suggest that interventions aimed at lowering systolic blood pressure can reduce the cases of CAD attributable to earlier age at menarche.
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Affiliation(s)
- Hsien-Yu Fan
- Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Taiwan.,Department of Family Medicine, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan
| | - Yen-Tsung Huang
- Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Taiwan.,Institute of Statistical Science, Academia Sinica, Taipei, Taiwan.,Department of Mathematics, National Taiwan University, Taipei, Taiwan
| | - Yun-Yu Chen
- Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Taiwan.,Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan.,Cardiovascular Center, Taichung Veterans General Hospital, Taichung, Taiwan.,Heart Rhythm Center, Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.,Cardiovascular Research Center, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Justin BoKai Hsu
- Department of Computer Science and Engineering, Yuan Ze University, Taoyuan, Taiwan
| | - Hung-Yuan Li
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Ta-Chen Su
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Hung-Ju Lin
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Kuo-Liong Chien
- Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Taiwan.,Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Yang-Ching Chen
- Department of Family Medicine, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan.,Department of Family Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.,School of Nutrition and Health Sciences, College of Nutrition, Taipei Medical University, Taipei, Taiwan.,Graduate Institute of Metabolism and Obesity Sciences, Taipei Medical University, Taipei, Taiwan
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12
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Tatulashvili S, Gusto G, Cosson E, Balkau B, Gourdy P, Bonnet F, Bihan H, Fagherazzi G. Gonadal hormonal factors before menopause and incident type 2 diabetes in women: A 22-year follow-up of 83 799 women from the E3N cohort study. J Diabetes 2021; 13:330-338. [PMID: 33145935 DOI: 10.1111/1753-0407.13129] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 10/12/2020] [Accepted: 11/01/2020] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND In many populations the incidence of type 2 diabetes is higher in men than in women. This may be explained by exposure to female gonadal hormones, but so far, there is no consensus on their role over the life course in type 2 diabetes etiology. METHODS Data are from 83 799 French women from the E3N (Etude Épidémiologique de Femmes de la Mutuelle Générale de l'Education Nationale) cohort study, followed for 22 years. Multivariable Cox models including classical risk factors were used to estimate hazard ratios (HR) and 95% confidence intervals (CI) between gonadal hormonal factors and incident type 2 diabetes. RESULTS Older age at menarche, more menstrual cycles, older age at menopause, longer duration of exposure to gonadal hormones and breastfeeding were inversely associated with incident type 2 diabetes cases (n = 4806). While a longer duration of menstrual cycles (HR = 1.23 [95% CI: 1.07-1.41] comparing ≥32 vs ≤24 days) and use of contraceptive pills (HR = 1.33 [1.25-1.42]) were associated with a greater risk of type 2 diabetes. CONCLUSIONS In women, a longer exposure to endogenous gonadal hormones with a later menopause as well as breastfeeding were associated with a lower risk of developing type 2 diabetes, independently of classical diabetes risk factors. In contrast, the use of contraceptive agents was associated with incident diabetes, but the influence of each type of contraception and of exposure duration remain to be investigated.
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Affiliation(s)
- Sopio Tatulashvili
- AP-HP, Endocrinology, Diabetes and Metabolic Diseases Unit, Avicenne Hospital, Bobigny, France
| | - Gaelle Gusto
- Inserm U1018, Centre for Research in Epidemiology and Population Health (CESP) "Health Across Generations" Team, Université Paris-Saclay, Gustave Roussy, Espace Maurice Tubiana, Villejuif, France
| | - Emmanuel Cosson
- AP-HP, Endocrinology, Diabetes and Metabolic Diseases Unit, Avicenne Hospital, Bobigny, France
- Université Paris 13, Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre d'Epidémiologie et Statistiques Paris Nord, Inserm U1153, Inra U1125, Cnam, COMUE Sorbonne Paris Cité, Bobigny, France
| | - Beverley Balkau
- Clinical Epidemiology, Université Paris-Saclay, UVSQ, Inserm u1018, CESP, Villejuif, France
| | - Pierre Gourdy
- Diabetology Department, CHU Toulouse, Institute of Metabolic and Cardiovascular Diseases (I2MC, UMR1048 Inserm/UPS), University of Toulouse, Toulouse, France
| | - Fabrice Bonnet
- Inserm U1018, Centre for Research in Epidemiology and Population Health (CESP) "Health Across Generations" Team, Université Paris-Saclay, Gustave Roussy, Espace Maurice Tubiana, Villejuif, France
- Department of Endocrinology, Diabetology and Nutrition, CHU Rennes, Université de Rennes 1, Rennes, France
| | - Hélène Bihan
- AP-HP, Endocrinology, Diabetes and Metabolic Diseases Unit, Avicenne Hospital, Bobigny, France
- Université Paris 13, Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre d'Epidémiologie et Statistiques Paris Nord, Inserm U1153, Inra U1125, Cnam, COMUE Sorbonne Paris Cité, Bobigny, France
| | - Guy Fagherazzi
- Inserm U1018, Centre for Research in Epidemiology and Population Health (CESP) "Health Across Generations" Team, Université Paris-Saclay, Gustave Roussy, Espace Maurice Tubiana, Villejuif, France
- Department of Population Health, Luxembourg Institute of Health (LIH), Strassen, Luxembourg
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13
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Jaruratanasirikul S, Satitpatanapan P, Sriplung H. Longitudinal 15-year follow-up of women with former early puberty: abnormal metabolic profiles not associated with earlier age at onset of puberty, but associated with obesity. J Pediatr Endocrinol Metab 2021; 34:71-77. [PMID: 33180041 DOI: 10.1515/jpem-2020-0353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 09/03/2020] [Indexed: 11/15/2022]
Abstract
BACKGROUND In 2011, we described 104 girls who were diagnosed as early puberty (EP) during 2003-2005. In 2019-2020, the former EP women had been followed up 14 years after attaining their final height. OBJECTIVE To determine the reproductive function and metabolic profiles of former EP women. STUDY DESIGN Fifty-seven former EP women were evaluated for reproductive function and examined for health status. Blood samples were obtained for metabolic profiles of glucose, lipids and insulin, and testosterone levels. RESULTS In 2020, the average age of the study women was 22.9 ± 1.7 years. The average height was 156.7 ± 5.6 cm. The average weight had increased from 52.5 ± 7.8 kg in 2011 to 58.5 ± 11.1 kg in 2020 and average body mass index (BMI) from 21.4 ± 2.9 to 23.8 ± 4.0 kg/m2. Obesity (BMI>25 kg/m2) was found in 8.8% (five participants) in 2011 and had increased to 22.8% (13 participants) in 2020. Most participants (79%) had regular menstrual cycle. Of the 17 married women, 4 (23.5%) had 1-2 children. Dividing the participants into obese and nonobese groups, the average fasting plasma glucose, lipid profiles, and testosterone levels were similar in both groups. However, the average systolic blood pressure and the serum insulin levels and HOMA-IR assessments were significantly higher in the obese group than in the nonobese group. CONCLUSION The former EP women had normal menstruation and reproductive function. The former EP women with average BMI at the follow-up had normal metabolic profiles while those who later became obese had significantly higher systolic blood pressure, serum insulin, and HOMA-IR assessments.
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Affiliation(s)
- Somchit Jaruratanasirikul
- Department of Pediatrics, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand
| | - Pitchaya Satitpatanapan
- Department of Pediatrics, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand
| | - Hutcha Sriplung
- Epidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand
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14
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Karim A, Qaisar R, Hussain MA. Growth and socio-economic status, influence on the age at menarche in school going girls. J Adolesc 2020; 86:40-53. [PMID: 33310201 DOI: 10.1016/j.adolescence.2020.12.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Revised: 11/28/2020] [Accepted: 12/02/2020] [Indexed: 10/22/2022]
Abstract
INTRODUCTION Onset age at menarche has been considered an important indicator of reproductive maturity in females and reflects the health status of the population. The purpose of this study was to determine the mean menarcheal age and to examine whether anthropometric and socio-economic status (SES) influences age at menarche in the girls from Punjab province of Pakistan. METHODS In this population-based cross-sectional study, 10,050 school-going girls aged 8-16 years from 35 schools across 12 districts of Punjab were recruited. Menarcheal data was obtained by using a questionnaire, while the anthropometric data were obtained by the measurements of standing height, body weight, waist, and hip circumference. The anthropometric indices of pre- and post-menarcheal girls were compared. Student's t-test, ANOVA, and post-hoc Tukey's test was applied for comparison between two and multiple groups respectively, P < 0.05 was considered statistically significant. RESULTS There was a normal distribution of age at menarche and mean was 12.4 years in the study population. The girls who reached menarche were found to be taller and heavier with higher BMIs, having a greater waist and hip circumference as compared to their pre-menarcheal peers. Waist-hip-ratio was less, and the waist-to-height ratio was higher in post-menarcheal as compared to pre-menarcheal girls. The girls belonging to low SES had delayed onset of menarche as compared to those belonging to middle/high SES. CONCLUSION The age at menarche was associated with SES and changes in various anthropometric measurements reflecting the growth status of girls.
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Affiliation(s)
- Asima Karim
- Department of Basic Medical Sciences, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates; Department of Physiology & Cell Biology, University of Health Sciences, Lahore, Pakistan.
| | - Rizwan Qaisar
- Department of Basic Medical Sciences, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates
| | - M Azhar Hussain
- Department of Finance and Economics, College of Business Administration, University of Sharjah, Sharjah, United Arab Emirates; Department of Social Sciences and Business, Roskilde University, Roskilde, Denmark
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15
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Dong X, Li Y, Yang K, Zhang L, Xue Y, Yu S, Liu X, Tu R, Qiao D, Luo Z, Liu X, Wang Y, Li W, Zheng Z, Wang C. Mediation effect of body mass index on the association between spicy food intake and hyperuricemia in rural Chinese adults: the Henan rural cohort study. BMC Public Health 2020; 20:1629. [PMID: 33121467 PMCID: PMC7596996 DOI: 10.1186/s12889-020-09736-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Accepted: 10/21/2020] [Indexed: 12/22/2022] Open
Abstract
Background The relationship of spicy food intake with hyperuricemia remains unknown. The objective of this study was to examine the association between spicy food intake and hyperuricemia, and whether this association was mediated by body mass index (BMI) in Chinese rural population. Methods 38, 027 adults aged 18–79 years were recruited from the Henan Rural Cohort Study. Information on spicy food intake was obtained using a validated questionnaire survey. Multivariable logistic regression model was used to estimate the association between spicy food intake and hyperuricemia, multiple linear regression model was performed to estimate the relationships between spicy food intake, BMI and serum urate level. BMI was used as a mediator to evaluate the mediation effect. Results After adjusting for potential confounders, compared with no spicy food flavor, the odds ratio (OR) and 95% confidence interval (CI) of mild, middle, and heavy flavor for hyperuricemia were 1.09 (1.00–1.19), 1.10 (0.97–1.24), and 1.21 (1.10–1.46), respectively (Ptrend = 0.017). Similarly, compared with those without intake in spicy food, the multivariable adjusted OR (95% CI) of 1-2 days/week, 3–5 days/week, and 6–7 days/week were 1.15 (1.01–1.31), 1.14 (1.01–1.30) and 1.15 (1.05–1.26), respectively (Ptrend = 0.007). However, when we further controlling for BMI, the associations were substantially attenuated. Furthermore, mediation analysis showed that BMI play a full mediating role in the relationship of spicy food intake with hyperuricemia. Conclusion Spicy food flavor and intake frequency are positively related with hyperuricemia in Chinese rural population. BMI may play a full mediating role in the relationship. Trial registration The Henan Rural Cohort Study registered at Chinese Clinical Trial Register (Registration number: ChiCTR-OOC-15006699). Date of registration: 2015-07-06.
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Affiliation(s)
- Xiaokang Dong
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, PR China
| | - Yuqian Li
- Department of Clinical Pharmacology, School of Pharmaceutical Science, Zhengzhou University, Henan, Zhengzhou, PR, China
| | - Kaili Yang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, PR China
| | - Lulu Zhang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, PR China
| | - Yuan Xue
- Department of Nutrition and Food Hygiene, College of Public Health, Zhengzhou University, Henan, Zhengzhou, PR, China
| | - Songcheng Yu
- Department of Nutrition and Food Hygiene, College of Public Health, Zhengzhou University, Henan, Zhengzhou, PR, China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, PR China
| | - Runqi Tu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, PR China
| | - Dou Qiao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, PR China
| | - Zhicheng Luo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, PR China
| | - Xue Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, PR China
| | - Yan Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, PR China
| | - Wenjie Li
- Department of Nutrition and Food Hygiene, College of Public Health, Zhengzhou University, Henan, Zhengzhou, PR, China
| | - Zhaohui Zheng
- Department of Rheumatology, The First Affiliated Hospital of Zhengzhou University, Henan, Zhengzhou, PR, China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, PR China.
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16
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Zhang L, Li Y, Dong X, Zhou W, Wang C, Mao Z, Yang X, Fan M, Han S, Li L. Effect of the Age at Menarche and Menopause Status Interaction on Type 2 Diabetes: The Henan Rural Cohort Study. J Clin Endocrinol Metab 2020; 105:5698216. [PMID: 31912872 DOI: 10.1210/clinem/dgz328] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Accepted: 01/03/2020] [Indexed: 02/07/2023]
Abstract
PURPOSE The aims of this study were to evaluate the effect of age at menarche (AM) on type 2 diabetes mellitus (T2DM) and to assess whether the fasting plasma glucose (FPG) and homeostasis model assessment (HOMA) index responses to AM and menopause status interact in Chinese rural adults. METHODS A cross-sectional, population-based study including 23 138 participants was performed. Logistic regression and multivariable linear regression were performed to investigate the relationship between AM and glucose status. Generalized linear model was used to calculate the interaction term of AM and menopause status on FPG and the HOMA index. Interaction plot was used to interpret the significant interaction effect. RESULTS Women in the later menarche age group (≥18 years) had a 17.7% lower risk of T2DM (95% confidence interval [CI]: 0.712-0.951, P = .008), after adjusting for multiple variables. Further adjustment for body mass index (BMI) completely attenuated this association (odds ratio = 0.884, 95% CI: 0.764-1.024, P = .099). A significant interaction effect of AM and menopause status on T2DM (P = .004) was observed. The adverse effects of menopausal status on FPG and HOMA-2 of insulin resistance decreased with increasing menarche age, and the age ranges were limited to <18 and 9 to 19 years, respectively. CONCLUSIONS Later menarche was associated with a lower risk of T2DM, and the association appears to be mediated by BMI. More importantly, the adverse effect of menopause status on T2DM was decreased along with increasing menarche age.
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Affiliation(s)
- Lulu Zhang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Yuqian Li
- Department of Clinical Pharmacology, School of Pharmaceutical Science, Zhengzhou University, Zhengzhou, Henan, China
| | - Xiaokang Dong
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Wen Zhou
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Chongjian Wang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Zhenxing Mao
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Xiu Yang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Mengying Fan
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Shengna Han
- Department of Pharmacology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Linlin Li
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
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