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Millen AE, Nie J, Yue Y, Andrews CA, Wactawski-Wende J, Wallace RB, Shadyab AH, Patel SP. Associations between the incidence of Fuchs' endothelial corneal dystrophy and menopausal hormone therapy use and exposure to endogenous estrogen. Maturitas 2025; 191:108132. [PMID: 39522475 PMCID: PMC11733839 DOI: 10.1016/j.maturitas.2024.108132] [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: 03/15/2024] [Revised: 09/06/2024] [Accepted: 10/07/2024] [Indexed: 11/16/2024]
Abstract
OBJECTIVES End-stage Fuchs' endothelial corneal dystrophy is a leading cause of corneal blindness, with a higher prevalence in females than in males. Few modifiable risk factors have been identified. We examined associations between menopausal hormone therapy use (never/past/current), duration of hormone therapy use, estimated lifetime exposure to endogenous estrogen, and serum estradiol with incident Fuchs' endothelial corneal dystrophy in a cohort of postmenopausal women. STUDY DESIGN This was a prospective analysis in the Women's Health Initiative Observational Study. MAIN OUTCOME MEASURES Incident cases of Fuchs' endothelial corneal dystrophy were identified from the Women's Health Initiative Observational Study baseline (1993-1998) through 2019 using Medicare claims data. RESULTS In 22,980 women, 1382 incident cases of Fuchs' endothelial corneal dystrophy (annualized incidence rate and 95 % confidence interval = 5.0 [4.8-5.3] cases per 1000 person-years) were identified. The adjusted hazard ratios and 95 % confidence intervals for Fuchs' endothelial corneal dystrophy were 1.02 (0.88-1.18) and 0.89 (0.79-0.997) for past and current hormone therapy use (vs. never use) at baseline, respectively. Adjusted hazard ratios (95 % confidence interval) were 0.90 (0.79-1.03) and 0.95 (0.84-1.08), p-trend = 0.36, for ≤10 and > 10 years, respectively, of hormone therapy use compared with no use; and the adjusted hazard ratio (95 % confidence interval) was 1.01 (0.88-1.15), p-trend = 0.87, for 46.7-59.0 versus 13.8-41.0 years of estimated lifetime exposure to endogenous estrogen. No statistically significant associations were observed with serum estradiol concentrations in a subset of participants. CONCLUSIONS In this cohort of postmenopausal women, current hormone therapy use (vs. never use) showed evidence of protection against the development of Fuchs' endothelial corneal dystrophy; however, duration of hormone therapy use, estimated lifetime exposure to endogenous estrogen, or serum estradiol concentrations were not significantly associated with a decreased risk of Fuchs' endothelial corneal dystrophy.
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Affiliation(s)
- Amy E Millen
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA.
| | - Jing Nie
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA.
| | - Yihua Yue
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA.
| | - Chris A Andrews
- Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI, USA.
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA.
| | - Robert B Wallace
- Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA, USA.
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA.
| | - Sangita P Patel
- Department of Ophthalmology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA; Ophthalmology and Research Services, VA Western New York Healthcare System, Buffalo, NY, USA.
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2
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Wang H, Iwama N, Yuwaki K, Nakamichi Y, Hamada H, Tomita H, Tagami K, Kudo R, Kumagai N, Metoki H, Nakaya N, Hozawa A, Kuriyama S, Yaegashi N, Saito M. Association of Parity with Type 2 Diabetes Mellitus in Japan. Reprod Sci 2024:10.1007/s43032-024-01752-z. [PMID: 39663299 DOI: 10.1007/s43032-024-01752-z] [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: 06/15/2023] [Accepted: 11/14/2024] [Indexed: 12/13/2024]
Abstract
This study investigates the association between parity and type 2 diabetes mellitus (T2DM) in Japanese women, considering the clinical history of gestational diabetes mellitus (GDM) and menopausal status, which are known risk factors for T2DM. Overall, 30,116 Japanese women (6,588 premenopausal and 23,528 postmenopausal) were included in this cross-sectional study. They were divided into two groups according to menopausal status (premenopausal and postmenopausal women), and the association between parity and T2DM was evaluated using a multiple logistic regression model with possible confounders, including a clinical history of GDM. The association between parity and T2DM was not statistically significant in premenopausal women. In contrast, a linear graded association between parity and T2DM was found in postmenopausal women. Furthermore, the association between parity and T2DM in postmenopausal women was attenuated after adjusting for body weight gain after the age of 20 years. A clinical history of GDM was significantly associated with a high risk for T2DM, regardless of adjustment for body weight gain after the age of 20 years in both premenopausal and postmenopausal women. Parity is associated with an increased risk of T2DM in postmenopausal women but not in premenopausal women. Maintaining appropriate body weight would be beneficial in attenuating the risk of T2DM in postmenopausal women. A clinical history of GDM is a risk factor for T2DM in both pre- and postmenopausal women; therefore, women with a clinical history of GDM require continuous medical care to survey for T2DM.
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Affiliation(s)
- Hongxin Wang
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Tohoku University Hospital, 1-1, Seiryomachi, Sendai, Miyagi, Japan
| | - Noriyuki Iwama
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Tohoku University Hospital, 1-1, Seiryomachi, Sendai, Miyagi, Japan.
- Women's Health Care Medical Science, Tohoku University Graduate School of Medicine, 1-1, Seiryomachi, Sendai, Miyagi, Japan.
- Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryomachi, Sendai, Miyagi, Japan.
| | - Keiichi Yuwaki
- Underwriting and Medical Department, The Dai-Ichi Life Insurance Company, Limited, 3-2-3, Toyosu, Koto-Ku, Tokyo, Japan
| | - You Nakamichi
- Underwriting and Medical Department, The Dai-Ichi Life Insurance Company, Limited, 3-2-3, Toyosu, Koto-Ku, Tokyo, Japan
| | - Hirotaka Hamada
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Tohoku University Hospital, 1-1, Seiryomachi, Sendai, Miyagi, Japan
| | - Hasumi Tomita
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Tohoku University Hospital, 1-1, Seiryomachi, Sendai, Miyagi, Japan
| | - Kazuma Tagami
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Tohoku University Hospital, 1-1, Seiryomachi, Sendai, Miyagi, Japan
| | - Rie Kudo
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Tohoku University Hospital, 1-1, Seiryomachi, Sendai, Miyagi, Japan
| | - Natsumi Kumagai
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Tohoku University Hospital, 1-1, Seiryomachi, Sendai, Miyagi, Japan
| | - Hirohito Metoki
- Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryomachi, Sendai, Miyagi, Japan
- Division of Public Health, Hygiene and Epidemiology, Tohoku Medical Pharmaceutical University, 1-15-1, Fukumuro, Sendai, Miyagi, Japan
| | - Naoki Nakaya
- Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryomachi, Sendai, Miyagi, Japan
| | - Atsushi Hozawa
- Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryomachi, Sendai, Miyagi, Japan
| | - Shinichi Kuriyama
- Division of Molecular Epidemiology, Tohoku University Graduate School of Medicine, 1-1, Seiryomachi, Sendai, Miyagi, Japan
- International Research Institute of Disaster Science, Tohoku University, 468-1, Aramaki, Sendai, Miyagi, Japan
- Environment and Genome Research Center, Tohoku University Graduate School of Medicine, 2-1, Seiryomachi, Sendai, Miyagi, Japan
| | - Nobuo Yaegashi
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Tohoku University Hospital, 1-1, Seiryomachi, Sendai, Miyagi, Japan
- Women's Health Care Medical Science, Tohoku University Graduate School of Medicine, 1-1, Seiryomachi, Sendai, Miyagi, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1, Seiryomachi, Sendai, Miyagi, Japan
- Environment and Genome Research Center, Tohoku University Graduate School of Medicine, 2-1, Seiryomachi, Sendai, Miyagi, Japan
| | - Masatoshi Saito
- Department of Obstetrics and Gynecology, Tohoku University Graduate School of Medicine, Tohoku University Hospital, 1-1, Seiryomachi, Sendai, Miyagi, Japan
- Women's Health Care Medical Science, Tohoku University Graduate School of Medicine, 1-1, Seiryomachi, Sendai, Miyagi, Japan
- Department of Maternal and Fetal Therapeutics, Tohoku University Graduate School of Medicine, 1-1, Seiryomachi, Sendai, Miyagi, Japan
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3
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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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Factors Which May Contribute to the Success or Failure of the Use of Mother's Own Milk in a Level IV Neonatal Intensive Care Unit. Adv Neonatal Care 2023; 23:81-92. [PMID: 35670723 DOI: 10.1097/anc.0000000000001003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
BACKGROUND Benefits of mother's own milk (MOM) for infants in neonatal intensive care units (NICUs) are well known. Many mothers provide for their infant's feedings during their entire hospitalization while others are unable. Knowledge is limited about which infant and maternal factors may contribute most to cessation of MOM feedings. PURPOSE Study aims were to (1) identify which maternal and infant risk factors or combination of factors are associated with cessation of provision of MOM during hospitalization, (2) develop a lactation risk tool to identify neonatal intensive care unit infants at higher risk of not receiving MOM during hospitalization, and (3) identify when infants stop receiving MOM during hospitalization. METHODS A data set of 797 infants admitted into a level IV neonatal intensive care unit before 7 days of age, whose mothers chose to provide MOM, was created from analysis of data from the Children's Hospital Neonatal Database. Maternal and infant factors of 701 dyads who received MOM at discharge were compared with 87 dyads who discontinued use of MOM by discharge using χ 2 , t tests, and Wilcoxon rank tests. Logistic regression was used to build a risk-scoring model. RESULTS The probability of cessation of MOM increased significantly with the number of maternal-infant risk factors. A Risk Calculator was developed to identify dyads at higher risk for cessation of MOM by discharge. IMPLICATIONS FOR PRACTICE Identifying mothers at risk for cessation of MOM can enable the healthcare team to provide optimal lactation management and outcomes. IMPLICATIONS FOR RESEARCH Although the Risk Calculator has potential to identify dyads at risk of early MOM cessation, further research is needed to validate these results.
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5
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Costa R, Tuomainen TP, Virtanen J, Niskanen L, Bertone-Johnson E. Associations of reproductive factors with postmenopausal follicle stimulating hormone. Womens Midlife Health 2022; 8:8. [PMID: 36059005 PMCID: PMC9442942 DOI: 10.1186/s40695-022-00079-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 07/14/2022] [Indexed: 11/11/2022] Open
Abstract
Purpose Recent studies have suggested that higher postmenopausal follicle stimulating hormone (FSH) may be associated with lower risk of diabetes. However, relatively little is known about postmenopausal FSH levels, including the level of variation between women and whether reproductive factors are associated with this variation. Methods We assessed the relationship of multiple reproductive factors with FSH levels among 588 postmenopausal women in the Kuopio Ischaemic Heart Disease Risk Factor Study. Participants were aged 53 to 73 years and not using hormone therapy at study enrollment (1998–2001) when reproductive factors were assessed and FSH was measured. Results After adjustment for age, menopause timing, sex steroid levels, adiposity and behavioral factors, we observed numbers of pregnancies and age at first birth were each inversely associated with FSH levels. For example, women with ≥ 3 births and an age at first birth ≥ 25 years had mean FSH levels that were 7.8 IU/L lower than those of women with 1–2 births and an age at first birth ≤ 24 years (P = 0.003). Number of miscarriages was inversely associated with FSH levels (-2.7 IU/L per miscarriage; P = 0.02). Women reporting 4 or more years of past hormone therapy use had significantly higher mean FSH levels than women who had never used hormone therapy (P for trend = 0.006). Conclusion Multiple reproductive factors were associated with postmenopausal FSH, independent of estradiol, adiposity and other confounders. These findings warrant replication and further exploration of potential underlying mechanism.
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Affiliation(s)
- Rebecca Costa
- Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, MA, USA
| | - Tomi-Pekka Tuomainen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Jyrki Virtanen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Leo Niskanen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland.,Departments of Internal Medicine, Endocrinology/Diabetology, Päijät-Häme Central Hospital, Lahti, Finland.,Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Elizabeth Bertone-Johnson
- Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, MA, USA. .,Department of Health Promotion and Policy, University of Massachusetts, Amherst, MA, USA. .,Arnold House, University of Massachusetts, 715 North Pleasant Street, Amherst, MA, 01003-9304, USA.
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6
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Gu YW, Zhang S, Wang JH, Yang HL, Zhang SQ, Yao YD, Wu YY, Xie L, Li ZY, Cao JY. Number of Births and Risk of Diabetes in China's Older Women. Front Med (Lausanne) 2022; 9:798787. [PMID: 35559347 PMCID: PMC9087266 DOI: 10.3389/fmed.2022.798787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 03/28/2022] [Indexed: 11/13/2022] Open
Abstract
As an important life event in individuals' life, childbirth will affect the health of women to different degrees. More and more attention has been paid to whether the number of births will affect the incident diabetes in elderly women, but there are few related studies. Based on the data of the Chinese Longitudinal Healthy Longevity Survey in 2018, 6,159 older women are selected as the study population. Logistic regression analyses are used to estimate the relationship between the number of births and diabetes risk. For each additional birth, the odds ratio of maternal diabetes will decrease by 6.9% and the result is significant at the 1% level, especially among mothers having four children or less. The conclusion is equally applicable in the sample of fathers and urban mothers, but the increase in the number of births will increase the risk of diabetes in rural mothers, although this result is not statistically significant. Later age at first birth, later age at last birth, the longer childbearing period, and birth interval will significantly reduce the risk of diabetes.
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Affiliation(s)
- Ying-Wen Gu
- School of Public Administration, Zhongnan University of Economics and Law, Wuhan, China
| | - Shuo Zhang
- School of Public Administration, Zhongnan University of Economics and Law, Wuhan, China
| | - Jia-Hao Wang
- School of Public Administration, Zhongnan University of Economics and Law, Wuhan, China
| | - Hua-Lei Yang
- School of Public Administration, Zhongnan University of Economics and Law, Wuhan, China
| | - Si-Qing Zhang
- School of Public Administration, Zhongnan University of Economics and Law, Wuhan, China
| | - Yi-Dan Yao
- School of Public Administration, Zhongnan University of Economics and Law, Wuhan, China
| | - Yuan-Yang Wu
- School of Public Administration, Zhongnan University of Economics and Law, Wuhan, China
| | - Lin Xie
- Institution of Population and Labor Economics, University of Chinese Academy of Social Science, Beijing, China
| | - Zhi-Yun Li
- College of Politics and Public Administration, Qingdao University, Qingdao, China
| | - Jin-Yan Cao
- School of Public Administration, Zhongnan University of Economics and Law, Wuhan, China
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Kwan BS, Cho IA, Park JE. Effect of Breastfeeding and Its Duration on Impaired Fasting Glucose and Diabetes in Perimenopausal and Postmenopausal Women: Korea National Health and Nutrition Examination Survey (KNHANES) 2010-2019. MEDICINES (BASEL, SWITZERLAND) 2021; 8:71. [PMID: 34822368 PMCID: PMC8624873 DOI: 10.3390/medicines8110071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 11/02/2021] [Accepted: 11/10/2021] [Indexed: 11/17/2022]
Abstract
BACKGROUND AND OBJECTIVES To examine the effect of maternal breastfeeding on the subsequent risk of diabetes in parous Korean women aged >50 years. MATERIALS AND METHODS A total of 14,433 participants from the Korea National Health and Nutrition Examination Survey (KNHANES) were included. The subjects were divided into three groups: normal, impaired fasting glucose, and diabetes. The adjusted odds ratios (ORs) for impaired fasting glucose (IFG) and diabetes were assessed using multivariate logistic regression. RESULTS A total of 2301 (15.94%) women were classified as having diabetes, and 3670 (25.43%) women were classified as having impaired fasting glucose. Breastfeeding was associated with an OR for diabetes of 0.76 (95% confidence interval (CI): 0.61, 0.95) compared with non-breastfeeding after adjustment for possible confounders in the multivariable logistic regression analysis. Breastfeeding for 13-24 months was associated with an OR of 0.68 (95% CI, 0.5, 0.91), and breastfeeding for 25-36 months was associated with an OR of 0.68 (95% CI, 0.52, 0.87) for diabetes compared with breastfeeding for <1 month in the multivariable logistic regression analysis. CONCLUSIONS Our results suggest that long-term breastfeeding, particularly breastfeeding for 13-36 months, may be associated with a lower risk for diabetes later in life.
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Affiliation(s)
- Byung-Soo Kwan
- Department of Internal Medicine, Division of Gastroenterology and Hepatology, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon-si 51353, Korea;
| | - In-Ae Cho
- Department of Obstetrics and Gynecology, Gyeongsang National University Hospital, Jinju-si 52727, Korea;
| | - Ji-Eun Park
- Department of Obstetrics and Gynecology, Gyeongsang National University Changwon Hospital, Changwon-si 51472, Korea
- College of Medicine, Gyeongsang National University, Jinju-si 52828, Korea
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Huo Y, Cheng L, Wang C, Deng Y, Hu R, Shi L, Wan Q, Chen L, Zeng T, Yu X, Tang X, Yan L, Qin G, Chen G, Gao Z, Wang G, Shen F, Luo Z, Qin Y, Chen L, Li Q, Ye Z, Zhang Y, Bi Y, Lu J, Li M, Xu M, Xu Y, Wang T, Zhao Z, Chen Y, Qi H, Zhu Y, Hu C, Su Q, Liu C, Wang Y, Wu S, Yang T, Deng H, Zhao J, Mu Y, Ning G, Wang W, Lin A. Associations between parity, pregnancy loss, and breastfeeding duration and risk of maternal type 2 diabetes: An observational cohort study. J Diabetes 2021; 13:857-867. [PMID: 33710784 DOI: 10.1111/1753-0407.13176] [Citation(s) in RCA: 8] [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: 11/10/2020] [Revised: 02/18/2021] [Accepted: 03/06/2021] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Parity, pregnancy loss, and breastfeeding duration were found to be associated with diabetes. However, the results are inconsistent. Also, no epidemiological studies have examined the association of these reproductive factors with diabetes in the same large population. We aim to investigate the associations between parity, pregnancy loss, breastfeeding duration, and the risk of maternal diabetes in middle-aged and elderly Chinese females. METHODS We included 131 174 females aged ≥40 years from the REACTION study (Risk Evaluation of Cancers in Chinese Diabetic Individuals: A Longitudinal Study). Multivariable linear regression and logistic regression were used to assess the association between parity, pregnancy loss, and breastfeeding duration and type 2 diabetes. RESULTS The number of parities and breastfeeding duration were positively related to fasting plasma glucose, 2-hour postload glucose, glycosylated hemoglobin, and homeostatic model assessment of insulin resistance. Compared with those with one birth, nulliparous women or women with 2 or ≥3 births had a significantly increased risk of diabetes. The odds ratios (OR) and 95% confidence intervals (CI) were 1.27 (1.10-1.48), 1.17 (1.12-1.22), and 1.28 (1.21-1.35), respectively. Compared with women without pregnancy loss, those who underwent 2 (OR 1.09; 95% CI, 1.04-1.14) or ≥3 pregnancy losses (OR 1.11; 95% CI, 1.04-1.18) had an increased risk of diabetes. Moreover, women with a breastfeeding duration ≥0 to 6 months (OR 0.82; 95% CI, 0.75-0.90) and ≥6 to 12 months (OR 0.94; 95% CI, 0.89-0.99) had a significantly lower risk of diabetes. CONCLUSIONS Nulliparous women or women with multiparity or more than one pregnancy loss have an increased risk of diabetes in later life, while women who breastfeed more than 0 to 12 months have a lower risk of diabetes.
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Affiliation(s)
- Yanan Huo
- Jiangxi Provincial People's Hospital Affiliated to Nanchang University, Nanchang, China
| | - Lihong Cheng
- Jiangxi Provincial People's Hospital Affiliated to Nanchang University, Nanchang, China
| | - Chenxiu Wang
- Jiangxi Provincial People's Hospital Affiliated to Nanchang University, Nanchang, China
| | - Ying Deng
- Jiangxi Provincial People's Hospital Affiliated to Nanchang University, Nanchang, China
| | - Ruying Hu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Lixin Shi
- Affiliated Hospital of Guiyang Medical College, Guiyang, China
| | - Qin Wan
- The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Lulu Chen
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tianshu Zeng
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xuefeng Yu
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xulei Tang
- The First Hospital of Lanzhou University, Lanzhou, China
| | - Li Yan
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Guijun Qin
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Gang Chen
- Fujian Provincial Hospital, Fujian Medical University, Fuzhou, China
| | - Zhengnan Gao
- Dalian Municipal Central Hospital, Dalian, China
| | - Guixia Wang
- The First Hospital of Jilin University, Changchun, China
| | - Feixia Shen
- The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Zuojie Luo
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yingfen Qin
- The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Li Chen
- Qilu Hospital of Shandong University, Jinan, China
| | - Qiang Li
- The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Zhen Ye
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Yinfei Zhang
- Central Hospital of Shanghai Jiading District, Shanghai, China
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Hongyan Qi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Yuanyue Zhu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Chunyan Hu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Qing Su
- Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing, China
| | - Chao Liu
- The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Youmin Wang
- Karamay Municipal People's Hospital, Xinjiang, China
| | - Shengli Wu
- The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Tao Yang
- Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Huacong Deng
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jiajun Zhao
- Shandong Provincial Hospital affiliated to Shandong University, Jinan, China
| | - Yiming Mu
- Chinese People's Liberation Army General Hospital, Beijing, China
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for Endocrine and Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai National Center for Translational Medicine, Ruijin Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai, China
| | - Anhua Lin
- Jiangxi Provincial People's Hospital Affiliated to Nanchang University, Nanchang, China
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9
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Moubareck CA. Human Milk Microbiota and Oligosaccharides: A Glimpse into Benefits, Diversity, and Correlations. Nutrients 2021; 13:1123. [PMID: 33805503 PMCID: PMC8067037 DOI: 10.3390/nu13041123] [Citation(s) in RCA: 60] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Revised: 03/18/2021] [Accepted: 03/26/2021] [Indexed: 12/12/2022] Open
Abstract
Human milk represents a cornerstone for growth and development of infants, with extensive array of benefits. In addition to exceptionally nutritive and bioactive components, human milk encompasses a complex community of signature bacteria that helps establish infant gut microbiota, contributes to maturation of infant immune system, and competitively interferes with pathogens. Among bioactive constituents of milk, human milk oligosaccharides (HMOs) are particularly significant. These are non-digestible carbohydrates forming the third largest solid component in human milk. Valuable effects of HMOs include shaping intestinal microbiota, imparting antimicrobial effects, developing intestinal barrier, and modulating immune response. Moreover, recent investigations suggest correlations between HMOs and milk microbiota, with complex links possibly existing with environmental factors, genetics, geographical location, and other factors. In this review, and from a physiological and health implications perspective, milk benefits for newborns and mothers are highlighted. From a microbiological perspective, a focused insight into milk microbiota, including origins, diversity, benefits, and effect of maternal diet is presented. From a metabolic perspective, biochemical, physiological, and genetic significance of HMOs, and their probable relations to milk microbiota, are addressed. Ongoing research into mechanistic processes through which the rich biological assets of milk promote development, shaping of microbiota, and immunity is tackled.
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Affiliation(s)
- Carole Ayoub Moubareck
- College of Natural and Health Sciences, Zayed University, Dubai 19282, United Arab Emirates
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