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Miao S, Yang L. Association between diabetes mellitus and miscarriage, recurrent miscarriage: A meta-study. J Obstet Gynaecol Res 2024; 50:2029-2037. [PMID: 39315484 DOI: 10.1111/jog.16091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Accepted: 09/06/2024] [Indexed: 09/25/2024]
Abstract
BACKGROUND Previous studies provided inconsistent associations between diabetes mellitus (DM) and miscarriage, recurrent miscarriage (RM). Therefore, this study aims to evaluate the association between DM and miscarriage, specifically RM, through a meta-analysis approach. METHODS We searched for articles published before July 2023 in PubMed and Web of Science databases. STATA 12.0 software was used to compute all the results collected from included studies. RESULTS DM was associated with a higher risk of miscarriage, RM (miscarriage: odds ratio [OR]/relative risk [RR] = 1.23, 95% confidence interval [CI] 1.13 to 1.34; RM: OR/RR = 1.73, 95% CI 1.55 to 1.94). T1DM was associated with a higher risk of miscarriage (OR/RR = 1.16, 95% CI 1.07 to 1.26). Similarly, T2DM showed a higher risk of miscarriage (OR/RR = 1.44, 95% CI 1.23 to 1.68). Miscarriage, RM were associated with a higher risk of DM (miscarriage: OR/RR = 1.14, 95% CI 1.08 to 1.19; RM: OR/RR = 1.14, 95% CI 1.08 to 1.20). Furthermore, miscarriage was found to be associated with a higher risk of T2DM (OR/RR = 1.08, 95% CI 1.05 to 1.11). CONCLUSION In conclusion, our meta-analysis findings indicate a significant association between DM and miscarriages as well as RM. As a result, women with a history of miscarriage should consider regular monitoring of their metabolic health as a potential benefit. Nevertheless, it is important to note that further research is needed to validate the results of our study and shed light on the biological mechanisms underlying these associations.
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Affiliation(s)
- Suying Miao
- The Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, China
- Department of Obstetrics, Zhejiang Provincial People's Hospital, Hangzhou, Zhejiang Province, China
| | - Liwei Yang
- Department of Obstetrics, Zhejiang Provincial People's Hospital, Hangzhou, Zhejiang Province, China
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Musa IR, Osman OE, Adam I. The association between parity and type 2 diabetes mellitus: a cross-sectional, community-based study. BMC Endocr Disord 2024; 24:233. [PMID: 39478557 PMCID: PMC11526553 DOI: 10.1186/s12902-024-01767-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2024] [Accepted: 10/25/2024] [Indexed: 11/02/2024] Open
Abstract
BACKGROUND Limited published data exist on the association between parity (number of deliveries) and diabetes mellitus (DM). This study was conducted to evaluate the association between parity and type 2 DM (T2DM) among Sudanese women. METHOD A multistage sampling survey was conducted in four villages in the River Nile State, Sudan, between July and September 2022. The World Health Organization's three-level stepwise questionnaire was adopted to collect women's sociodemographic characteristics (age, sex, height, weight, marital status, parity, education level, occupation, detailed obstetric history, and family history of T2DM). Multivariate analyses were performed. RESULTS A total of 397 women were recruited. Their median (interquartile range) age was 45.0 (33.0‒55.7) years. A total of 154 women (38.8%) were nulliparous, whereas 93 (23.4%), 70 (17.6%), and 80 (20.2%) had para 1‒3, 4 or 5, and more than 5, respectively. A total of 112 (28.2%) women had T2DM. In multivariate analysis, older age (adjusted odds ratio, AOR, 1.04, 95%, confidence interval, CI, 1.02‒1.06), high parity (AOR, 1.1, 95% C, 1.01‒1.20), and a family history of DM (AOR, 3.26, 95% CI, 1.98‒5.38) were associated with T2DM. Compared with the nulliparity, para 1‒3 (AOR, 2.33; 95% CI, 1.17‒4.61), para 4 or 5 (AOR, 2.12; 95% CI, 1.04‒4.30), and para > 5 (AOR, 2.16; 95% CI, 1.09‒4.27) were at higher risk of T2DM. In women aged < 50 years, high parity (AOR, 1.22; 95% CI, 1.06‒1.44) was associated with T2DM. Compared with the nulliparous women, para 4 or 5 (AOR, 3.47; 95% CI, 1.16‒10.34) and para > 5 (AOR, 4.63; 95% CI, 1.54‒13.87) were associated with T2DM, whereas para 1‒3 was not associated with T2DM. In the women aged ≥ 50 years, parity and parity groups were not associated with T2DM. CONCLUSION There is a high prevalence of T2DM among Sudanese women. Parity and high parity are significant predictors of T2DM among these women in this part of Sudan.
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Affiliation(s)
- Imad R Musa
- Royal Commission Hospital at AL Jubail Industrial City, Al Jubail, Kingdom of Saudi Arabia
| | - Osman E Osman
- Faculty of Medicine, Alneelain University, Khartoum, Sudan.
| | - Ishag Adam
- Department of Obstetrics and Gynecology, College of Medicine, Qassim University, Buraydah, Saudi Arabia
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Wang M, Zhang J, Yuan L, Hu H, Li T, Feng Y, Zhao Y, Wu Y, Fu X, Ke Y, Gao Y, Chen Y, Huo W, Wang L, Zhang W, Li X, Liu J, Huang Z, Hu F, Zhang M, Sun L, Hu D, Zhao Y. Miscarriage and stillbirth in relation to risk of cardiovascular diseases: A systematic review and meta-analysis. Eur J Obstet Gynecol Reprod Biol 2024; 297:1-7. [PMID: 38554480 DOI: 10.1016/j.ejogrb.2024.03.035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 02/29/2024] [Accepted: 03/26/2024] [Indexed: 04/01/2024]
Abstract
INTRODUCTION The relationship between pregnancy loss and the risk of cardiovascular diseases (CVDs) remains a matter of debate. Our intention in conducting this meta-analysis was to analyze the relationship between miscarriage and stillbirth and risk of CVDs. METHODS PubMed, Embase, and Web of Science were systematically searched up to May 30, 2023 for all relevant studies. The random-effects model was applied to estimate the pooled relative risks (RRs) and 95% confidence intervals (95% CIs). We evaluated RR estimates for the risk of CVDs with each additional miscarriage and stillbirth through generalized least squares regression. RESULTS Twenty-three articles were incorporated into the meta-analysis. For women with a history of miscarriage, the pooled RRs for the risk of total CVDs, coronary heart disease (CHD), stroke, and total CVD deaths were 1.16 (95 % CI 1.10-1.22), 1.26 (1.12-1.41), 1.13 (1.03-1.24), and 1.20 (1.01-1.42), respectively. For women with a history of stillbirth, the pooled RRs for the risk of total CVDs, CHD, stroke, and total CVD deaths were 1.60 (1.34-1.89), 1.30 (1.12-1.50), 1.37 (1.06-1.78), and 1.95 (1.05-3.63), respectively. With each additional miscarriage, the risk increased for total CVDs (1.08, 1.04-1.13), CHD (1.08, 1.04-1.13), and stroke (1.05, 1.00-1.10). With each additional stillbirth, the risk increased for total CVDs (1.11, 1.03-1.21) and CHD (1.13, 1.07-1.19). CONCLUSION This meta-analysis indicates that both miscarriages and stillbirths are related to a higher risk of total CVDs, CHD, stroke, and total CVD deaths. The risk of total CVDs and CHD increased with the number of miscarriages or stillbirths.
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Affiliation(s)
- Mengmeng Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Jinli Zhang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Lijun Yuan
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Huifang Hu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Tianze Li
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yifei Feng
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yang Zhao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yuying Wu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Xueru Fu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yamin Ke
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yajuan Gao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Yaobing Chen
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Weifeng Huo
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Longkang Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Wenkai Zhang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Xi Li
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China
| | - Jiong Liu
- Department of Preventive Medicine, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Zelin Huang
- Department of Preventive Medicine, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Fulan Hu
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Ming Zhang
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China
| | - Liang Sun
- Department of Social Medicine and Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan 450001, People's Republic of China
| | - Dongsheng Hu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
| | - Yang Zhao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
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Dunne J, Foo D, Dachew BA, Duko B, Gebremedhin AT, Nyadanu SD, Pereira G, Tessema GA. Diabetic and hypertensive disorders following early pregnancy loss: a systematic review and meta-analysis. EClinicalMedicine 2024; 71:102560. [PMID: 38813443 PMCID: PMC11133813 DOI: 10.1016/j.eclinm.2024.102560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 03/05/2024] [Accepted: 03/06/2024] [Indexed: 05/31/2024] Open
Abstract
Background Spontaneous and induced abortions are common outcomes of pregnancy. There is inconsistent evidence of an association between early pregnancy loss and subsequent diabetic and hypertensive disorders in women. This systematic review and meta-analysis evaluated evidence on the risk of the subsequent development of pregnancy and non-pregnancy related diabetic and hypertensive disorders in women who experienced an early pregnancy loss. Methods Systematic searches were conducted in seven electronic databases (CINAHL Plus, Ovid/EMBASE, Ovid/MEDLINE, ProQuest, PubMed, Scopus, and Web of Science) from inception to 22nd December 2023. Studies were included if they reported an exposure of spontaneous abortion (SAB), induced abortion (IA) or recurrent pregnancy loss (RPL) with an outcome of gestational diabetes mellitus, pre-eclampsia, gestational hypertension, and non-pregnancy related diabetic and hypertensive disorders. Risk of bias was assessed using Risk of Bias Instrument for Non-Randomized Studies of Exposures (ROBINS-E). Random effects meta-analysis was used to pool odds of developing diabetic and hypertensive disorders following an early pregnancy loss. This study is registered with PROSPERO (CRD42022327689). Findings Of 20,176 records, 60 unique articles were identified for full-text review and 52 met the inclusion criteria, representing a total population of 4,132,895 women from 22 countries. Thirty-five studies were suitable for meta-analysis, resulting in a pooled odds ratio (OR) of 1.44 (95% confidence interval (CI) 1.23-1.68) for gestational diabetes mellitus following a prior SAB and a pooled OR of 1.06 (95% CI 0.90-1.26) for pre-eclampsia following a prior SAB. RPL increased the odds of developing pre-eclampsia (OR 1.37 95% CI 1.05-1.79). There was no association between IA and diabetic and hypertensive disorders. Interpretation A prior SAB was associated with increased odds of gestational diabetes mellitus, but not pre-eclampsia. However, women who experienced RPL had an increased risk of subsequent pre-eclampsia. Future research is required to establish evidence for an association between early pregnancy loss with non-pregnancy related diabetic and hypertensive disorders. Funding National Health and Medical Research Council.
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Affiliation(s)
- Jennifer Dunne
- Curtin School of Population Health, Faculty of Health Sciences, Curtin University, Kent Street, Bentley, Western Australia, 6102, Australia
- enAble Institute, Curtin University, Kent Street, Bentley, Western Australia, 6102, Australia
| | - Damien Foo
- Curtin School of Population Health, Faculty of Health Sciences, Curtin University, Kent Street, Bentley, Western Australia, 6102, Australia
- Yale School of the Environment, Yale University, New Haven, CT, United States
| | - Berihun A. Dachew
- Curtin School of Population Health, Faculty of Health Sciences, Curtin University, Kent Street, Bentley, Western Australia, 6102, Australia
| | - Bereket Duko
- Curtin School of Population Health, Faculty of Health Sciences, Curtin University, Kent Street, Bentley, Western Australia, 6102, Australia
- Australian Centre for Precision Health, UniSA Clinical and Health Sciences, University of South Australia, North Terrace, Adelaide, South Australia, 5000, Australia
| | - Amanuel T. Gebremedhin
- Curtin School of Population Health, Faculty of Health Sciences, Curtin University, Kent Street, Bentley, Western Australia, 6102, Australia
- School of Nursing and Midwifery, Edith Cowan University, Joondalup Campus, Joondalup, Western Australia, 6027, Australia
| | - Sylvester D. Nyadanu
- Curtin School of Population Health, Faculty of Health Sciences, Curtin University, Kent Street, Bentley, Western Australia, 6102, Australia
| | - Gavin Pereira
- Curtin School of Population Health, Faculty of Health Sciences, Curtin University, Kent Street, Bentley, Western Australia, 6102, Australia
- enAble Institute, Curtin University, Kent Street, Bentley, Western Australia, 6102, Australia
| | - Gizachew A. Tessema
- Curtin School of Population Health, Faculty of Health Sciences, Curtin University, Kent Street, Bentley, Western Australia, 6102, Australia
- enAble Institute, Curtin University, Kent Street, Bentley, Western Australia, 6102, Australia
- School of Public Health, University of Adelaide, Adelaide, South Australia, 5000, Australia
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Liu X, Liu X, Huang N, Yang Z, Zhang Z, Zhuang Z, Jin M, Li N, Huang T. Women's reproductive risk and genetic predisposition in type 2 diabetes: A prospective cohort study. Diabetes Res Clin Pract 2024; 208:111121. [PMID: 38295999 DOI: 10.1016/j.diabres.2024.111121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 01/25/2024] [Accepted: 01/28/2024] [Indexed: 02/03/2024]
Abstract
OBJECTIVE To assess synergistic effects of reproductive factors and gene-reproductive interaction on type 2 diabetes (T2D) risk, also the extent to which the genetic risk of T2D can be affected by reproductive risk. METHODS 84,254 women with genetic data and reproductive factors were enrolled between 2006 and 2010 in the UK Biobank. The reproductive risk score (RRS) was conducted based on 17 reproductive items, and genetic risk score (GRS) was based on 149 genetic variants. RESULTS There were 2300 (2.8 %) T2D cases during an average follow-up of 4.49 years. We found a significant increase in T2D risk across RRS categories (Ptrend < 0.001). Compared with low reproductive risk, high-mediate (adjusted hazard ratio [aHR] 1.38, 95 % CI 1.20-1.58) and high (aHR 1.84, 95 % CI 1.54-2.19) reproductive risk could increase the risk of T2D. We further observed a significant additive interaction between reproductive risk and genetic predisposition. In the situation of high genetic predisposition, women with low reproductive risk had lower risk of T2D than those with high reproductive risk (aHR 0.47, 95 % CI 0.30-0.76), with an absolute risk reduction of 2.98 %. CONCLUSIONS Our novo developed RRS identified high reproductive risk is associated with elevated risk of women's T2D, which can be magnified by gene-reproductive interaction.
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Affiliation(s)
- Xiaojing Liu
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Institute of Reproductive and Child Health, Peking University/Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, China
| | - Xiaowen Liu
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Institute of Reproductive and Child Health, Peking University/Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, China
| | - Ninghao Huang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing 100191, China; Center for Intelligent Public Health, Institute for Artificial Intelligence, Peking University, China
| | - Zeping Yang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Institute of Reproductive and Child Health, Peking University/Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, China
| | - Ziyi Zhang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Institute of Reproductive and Child Health, Peking University/Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, China
| | - Zhenhuang Zhuang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing 100191, China; Center for Intelligent Public Health, Institute for Artificial Intelligence, Peking University, China
| | - Ming Jin
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Institute of Reproductive and Child Health, Peking University/Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, China
| | - Nan Li
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Institute of Reproductive and Child Health, Peking University/Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Beijing 100191, China.
| | - Tao Huang
- Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China; Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing 100191, China; Center for Intelligent Public Health, Institute for Artificial Intelligence, Peking University, China
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Chen C, Lei Z, Xiong Y, Ni M, He B, Gao J, Zheng P, Xie X, He C, Yang X, Cheng W. Gestational weight gain of multiparas and risk of primary preeclampsia: a retrospective cohort study in Shanghai. Clin Hypertens 2023; 29:32. [PMID: 38037134 PMCID: PMC10691081 DOI: 10.1186/s40885-023-00254-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 10/09/2023] [Indexed: 12/02/2023] Open
Abstract
BACKGROUND In all studies conducted so far, there was no report about the correlation between excessive gestational weight gain (GWG) and the risk of preeclampsia (PE) in multiparas, especially considering that multiparity is a protective factor for both excessive GWG and PE. Thus, the aim of this retrospective cohort study was to determine whether GWG of multiparas is associated with the increased risk of PE. METHODS This was a study with 15,541 multiparous women who delivered in a maternity hospital in Shanghai from 2017 to 2021, stratified by early-pregnancy body mass index (BMI) category. Early-pregnancy body weight, height, week-specific and total gestational weight gain as well as records of antenatal care were extracted using electronic medical records, and antenatal weight gain measurements were standardized into gestational age-specific z scores. RESULTS Among these 15,541 multiparous women, 534 (3.44%) developed preeclampsia. The odds of preeclampsia increased by 26% with every 1 z score increase in pregnancy weight gain among normal weight women and by 41% among overweight or obese women. For normal weight women, pregnant women with preeclampsia gained more weight than pregnant women without preeclampsia beginning at 25 weeks of gestation, while accelerated weight gain was more obvious in overweight or obese women after 25 weeks of gestation. CONCLUSIONS In conclusion, excessive GWG in normal weight and overweight or obese multiparas was strongly associated with the increased risk of preeclampsia. In parallel, the appropriate management and control of weight gain, especially in the second and third trimesters, may lower the risk of developing preeclampsia.
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Affiliation(s)
- Chao Chen
- Department of obstetrics, School of Medicine, International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University, Shanghai, 200030, China
- Shanghai Key Laboratory of Embryo Original Disease, Shanghai, 200030, China
| | - Zhijun Lei
- Department of Cardiology, School of Medicine, Shanghai Tenth People's Hospital, Tongji University, Shanghai, 200072, China
| | - Yaoxi Xiong
- Department of obstetrics, School of Medicine, International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University, Shanghai, 200030, China
- Shanghai Key Laboratory of Embryo Original Disease, Shanghai, 200030, China
| | - Meng Ni
- Department of obstetrics, School of Medicine, International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University, Shanghai, 200030, China
- Shanghai Key Laboratory of Embryo Original Disease, Shanghai, 200030, China
| | - Biwei He
- Department of obstetrics, School of Medicine, International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Jing Gao
- Department of obstetrics, School of Medicine, International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Panchan Zheng
- Department of obstetrics, School of Medicine, International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Xianjing Xie
- Department of obstetrics, School of Medicine, International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Chengrong He
- Department of obstetrics, School of Medicine, International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University, Shanghai, 200030, China
- Shanghai Key Laboratory of Embryo Original Disease, Shanghai, 200030, China
| | - Xingyu Yang
- Department of obstetrics, School of Medicine, International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University, Shanghai, 200030, China.
- Shanghai Key Laboratory of Embryo Original Disease, Shanghai, 200030, China.
| | - Weiwei Cheng
- Department of obstetrics, School of Medicine, International Peace Maternity and Child Health Hospital, Shanghai Jiao Tong University, Shanghai, 200030, China.
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Su H, Jiang C, Zhang W, Zhu F, Jin Y, Cheng K, Lam T, Xu L. Parity and incident type 2 diabetes in older Chinese women: Guangzhou Biobank Cohort Study. Sci Rep 2023; 13:9504. [PMID: 37308533 DOI: 10.1038/s41598-023-36786-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 06/09/2023] [Indexed: 06/14/2023] Open
Abstract
This study examined the association between parity and incident type 2 diabetes in older Chinese women and estimated the mediation effect of adiposity indicators. A total of 11,473 women without diabetes at baseline from 2003 to 2008 were followed up until 2012. We used Cox proportional hazards regression to assess the association between parity and incident type 2 diabetes, and mediation analysis to estimate the mediation effect of adiposity indicators. Compared to women with one parity, the hazard ratio (HR) (95% confidence interval (CI)) for incident type 2 diabetes was 0.85 (0.44-1.63), 1.20 (1.11-1.30), 1.28 (1.16-1.41) and 1.27 (1.14-1.42) for women with parity of 0, 2, 3, and ≥ 4, respectively. The proportion of indirect effect (95% CI) mediated by body mass index, waist circumference, hip circumference, waist-to-hip ratio, waist-to-height ratio and body fat percentage was 26.5% (19.2-52.2%), 54.5% (39.4-108.7%), 25.1% (18.2-49.1%), 35.9% (25.6-74.1%), 50.3% (36.5-98.6%) and 15.1% (- 66.4 to 112.3%), respectively. Compared to women with one parity, women with multiparity (≥ 2) had a higher risk of incident type 2 diabetes and up to half of the association was mediated by abdominal obesity.
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Affiliation(s)
- Huimin Su
- School of Public Health, Sun Yat-Sen University, 74 Zhongshan 2nd Road, Guangzhou, 510080, Guangdong, China
| | - Chaoqiang Jiang
- Molecular Epidemiology Research Centre, Guangzhou Twelfth People's Hospital, Guangzhou, 510620, China
| | - Weisen Zhang
- Molecular Epidemiology Research Centre, Guangzhou Twelfth People's Hospital, Guangzhou, 510620, China.
| | - Feng Zhu
- Molecular Epidemiology Research Centre, Guangzhou Twelfth People's Hospital, Guangzhou, 510620, China
| | - Yali Jin
- Molecular Epidemiology Research Centre, Guangzhou Twelfth People's Hospital, Guangzhou, 510620, China
| | - Karkeung Cheng
- Institute of Applied Health Research, University of Birmingham, Birmingham, B15 2TT, UK
| | - Taihing Lam
- Molecular Epidemiology Research Centre, Guangzhou Twelfth People's Hospital, Guangzhou, 510620, China
- School of Public Health, The University of Hong Kong, Hong Kong, 999077, China
| | - Lin Xu
- School of Public Health, Sun Yat-Sen University, 74 Zhongshan 2nd Road, Guangzhou, 510080, Guangdong, China.
- School of Public Health, The University of Hong Kong, Hong Kong, 999077, China.
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Chen M, Guo J, Lin Y, Xu J, Hu Y, Yang L, Xu X, Zhu L, Zhou J, Zhang Z, Li H, Lin S, Wu S. Life-course fertility and multimorbidity among middle-aged and elderly women in China: Evidence from China health and retirement longitudinal study. Front Public Health 2023; 11:1090549. [PMID: 36891346 PMCID: PMC9986627 DOI: 10.3389/fpubh.2023.1090549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Accepted: 01/30/2023] [Indexed: 02/22/2023] Open
Abstract
Background Multimorbidity has become an important public health problem in China, especially among middle-aged and elderly women. Few studies have been reported on the association between multimorbidity and female fertility, which is an important stage in the life course. This study aimed to explore the association between multimorbidity and fertility history among middle-aged and elderly women in China. Methods Data from 10,182 middle-aged and elderly female participants in the China Health and Retirement Longitudinal Study (CHARLS) in 2018 were used in this study. Multimorbidity was defined as the presence of at least two or more chronic conditions. Logistic regression analysis, negative binomial regression analysis, and restrictive cubic splines (RCSs) were used to analyze the relationship between female fertility history and multimorbidity or the number of chronic conditions. Multivariable linear regression was used to analyze the relationship between female fertility history and multimorbidity pattern factor scores. Results The results of this study showed that high parity and early childbearing were significantly associated with an increased risk of multimorbidity and an increased number of chronic conditions among middle-aged and elderly women in China. Late childbearing was significantly associated with reduced risk of multimorbidity and lessened diseases. Parity and age of first childbirth were significantly correlated with the odds of multimorbidity. The association between fertility history and multimorbidity was found to be influenced by age and urban-rural dual structure. Women with high parity tend to have higher factor scores of cardiac-metabolic, visceral-arthritic, and respiratory-psychiatric patterns. Women with early childbearing tended to have higher factor scores of the visceral-arthritic pattern and those with late childbearing tended to have lower factor scores of the cardiac-metabolic pattern. Conclusion Fertility history has a significant effect on multimorbidity in the middle and later lives of Chinese women. This study is of great importance for reducing the prevalence of multimorbidity among Chinese women through their life course and promoting health during their middle and later lives.
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Affiliation(s)
- Mingjun Chen
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Jianhui Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Yawen Lin
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Jialiang Xu
- School of Public Health, Fujian Medical University, Fuzhou, China
| | - Yuduan Hu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Le Yang
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Xingyan Xu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Li Zhu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Jungu Zhou
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Zhiyu Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Huangyuan Li
- Department of Preventive Medicine, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Shaowei Lin
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
| | - Siying Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China
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9
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Sun MH, Wen ZY, Wang R, Gao C, Yin JL, Chang YJ, Wu QJ, Zhao YH. Parity and Metabolic Syndrome Risk: A Systematic Review and Meta-Analysis of 15 Observational Studies With 62,095 Women. Front Med (Lausanne) 2022; 9:926944. [PMID: 35903312 PMCID: PMC9314745 DOI: 10.3389/fmed.2022.926944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 06/20/2022] [Indexed: 11/16/2022] Open
Abstract
Background Epidemiological studies have provided inconsistent evidence of the association between parity and metabolic syndrome (MetS) risk. We conducted this first systematic review and meta-analysis to comprehensively and precisely quantify this topic. Methods Comprehensive searches of PubMed, Embase, and the Web of Science databases were conducted to identify observational studies of the association between parity and MetS risk up to 30 January 2022. Study inclusion, data extraction, and quality assessment were checked and reviewed by two investigators independently. Random-effects models were applied to estimate pooled odds ratios (ORs) and 95% CIs. This study has been registered with PROSPERO. Results Two high-quality cohorts and thirteen medium-quality cross-sectional studies involving 62,095 women were finally included. Compared with the nulliparous, the pooled OR of MetS for the ever parity was 1.31 (95% CI = 0.91–1.88, I2 = 72.6%, n = 3). Compared with the lowest parity number, the pooled OR of MetS for the highest parity number was 1.38 (95% CI = 1.22–1.57, I2 = 60.7%, n = 12). For the dose-response analysis, the pooled OR of MetS for each increment of one live birth was 1.12 (95% CI = 1.05–1.19, I2 = 78.6%, n = 6). These findings were robust across subgroups and sensitivity analyses. No evidence of heterogeneity between subgroups was indicated by meta-regression analyses. Conclusion The findings suggested that parity was associated with an increased risk of MetS. A sufficient number of large prospective cohort studies are required to fully verify our findings. Systematic Review Registration [https://www.crd.york.ac.uk/PROSPERO/], identifier [CRD42022307703].
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Affiliation(s)
- Ming-Hui Sun
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Zhao-Yan Wen
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ran Wang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Chang Gao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Jia-Li Yin
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yu-Jiao Chang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
| | - Qi-Jun Wu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
- *Correspondence: Qi-Jun Wu,
| | - Yu-Hong Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Key Laboratory of Precision Medical Research on Major Chronic Disease, Shengjing Hospital of China Medical University, Shenyang, China
- Yu-Hong Zhao,
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10
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Zuk A, Liberda EN, Tsuji LJS. Environmental contaminants and the disproportionate prevalence of type-2 diabetes mellitus among Indigenous Cree women in James Bay Quebec, Canada. Sci Rep 2021; 11:24050. [PMID: 34911968 PMCID: PMC8674294 DOI: 10.1038/s41598-021-03065-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Accepted: 11/23/2021] [Indexed: 11/09/2022] Open
Abstract
Indigenous populations are disproportionately affected by type 2 diabetes (T2DM) compared to non-Indigenous people. Of importance, the prevalence of T2DM is greater amongst females than males in First Nations communities, in contrast to higher male prevalence reported in non-Indigenous Canadians. Therefore, in this study we extend our previously published work with respect to females, and the potential association between environmental exposures to organochlorine pesticides, such as dichlorodiphenyltrichloroethane (DDT), and dichlorodiphenyldichloroethylene (DDE) to explain the greater prevalence of T2DM among Indigenous females compared to males. Using data from the Multi-Community Environment-and-Health Study, Principal Component Analysis (PCA), examined 9-polychlorinated biphenyl congeners, 7-organic pesticides, and 4-metal/metalloids. Modified Poisson regression with robust error variance estimated adjusted prevalence ratios (PR) and corresponding 95% confidence intervals (95% CI), regressing prevalent T2DM on the newly derived principal components (PC), adjusting for a priori covariates, including parity. We further examined the relationship between high detection concentrations of DDT and tertials of categorized DDE exposures on T2DM among Indigenous Cree women. Among 419 female participants, 23% (n = 95) had physician-diagnosed T2DM. PCA analysis show that DDT and Lead (Pb) loaded highly on the second axis (PC-2), although in opposite directions, indicating the different exposure sources. As previously published, T2DM was significantly associated with PC-2 across adjusted models, however, after further adjusting for parity in this analysis, T2DM was no longer significantly associated with increasing PC-2 scores (PR = 0.88, 95% 0.76, 1.03). Furthermore, we found that the highest detectable levels of DDT, and tertiles of DDE were significantly associated with prevalent T2DM in the fully adjusted model (PR = 1.93, 1.17, 3.19), and (PR = 3.58, 1.10, 11.70), respectively. This cross-sectional analysis suggests organochlorines, specifically, detectable high exposure concentrations of DDT and DDE are associated with prevalent type 2 diabetes, signifying a possible important link between parity and environmental organochlorines pesticides among Indigenous Cree women.
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Affiliation(s)
- Aleksandra Zuk
- Department of Physical and Environmental Sciences, University of Toronto Scarborough, Toronto, ON, Canada.
- School of Nursing, Faculty of Health Sciences, Queen's University, 92 Barrie Street, Kingston, ON, K7L 3N6, Canada.
| | - Eric N Liberda
- School of Occupational and Public Health, Ryerson University, Toronto, ON, Canada
| | - Leonard J S Tsuji
- Department of Physical and Environmental Sciences, University of Toronto Scarborough, Toronto, ON, Canada
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