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Choi ES, Lee JS, Lee H, Lee KS, Ahn KH. Association between breastfeeding duration and diabetes mellitus in menopausal women: a machine-learning analysis using population-based retrospective study. Int Breastfeed J 2024; 19:33. [PMID: 38745339 PMCID: PMC11092012 DOI: 10.1186/s13006-024-00642-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Accepted: 05/07/2024] [Indexed: 05/16/2024] Open
Abstract
BACKGROUND Breastfeeding resets insulin resistance caused by pregnancy however, studies on the association between breastfeeding and diabetes mellitus (DM) have reported inconsistent results. Therefore, we aimed to investigate the risk of DM according to breastfeeding duration in large-scale population-based retrospective study. In addition, machine-learning prediction models for DM and hemoglobin A1c (HbA1c) were developed to further evaluate this association. METHODS We used the Korean National Health and Nutrition Examination Surveys database, a nationwide and population-based health survey from 2010 to 2020. We included 15,946 postmenopausal women with a history of delivery, whom we divided into three groups according to the average breastfeeding duration: (1) no breastfeeding, (2) < 12 months breastfeeding, and (3) ≥ 12 months breastfeeding. Prediction models for DM and HbA1c were developed using an artificial neural network, decision tree, logistic regression, Naïve Bayes, random forest, and support vector machine. RESULTS In total, 2248 (14.1%) women had DM and 14,402 (90.3%) had a history of breastfeeding. The prevalence of DM was the lowest in the < 12 breastfeeding group (no breastfeeding vs. < 12 months breastfeeding vs. ≥ 12 months breastfeeding; 161 [10.4%] vs. 362 [9.0%] vs. 1,725 [16.7%], p < 0.001). HbA1c levels were also the lowest in the < 12 breastfeeding group (HbA1c: no breastfeeding vs. < 12 months breastfeeding vs. ≥ 12 months breastfeeding; 5.9% vs. 5.9% vs. 6.1%, respectively, p < 0.001). After adjustment for covariates, the risk of DM was significantly increased in both, the no breastfeeding (adjusted odds ratio [aOR] 1.29; 95% CI 1.29, 1.62]) and ≥ 12 months of breastfeeding groups (aOR 1.18; 95% CI 1.01, 1.37) compared to that in the < 12 months breastfeeding group. The accuracy and the area under the receiver-operating-characteristic curve of the DM prediction model were 0.93 and 0.95, respectively. The average breastfeeding duration was ranked among the top 15 determinants of DM, which supported the strong association between breastfeeding duration and DM. This association was also observed in a prediction model for HbA1c. CONCLUSIONS Women who did not breasted had a higher risk of developing DM than those who breastfed for up to 12 months.
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Affiliation(s)
- Eun-Saem Choi
- Department of Obstetrics & Gynecology, Korea University College of Medicine, Korea University Anam Hospital, 73 Goryeodae-ro, Seongbuk-gu, Seoul, 02841, Korea
| | - Jue Seong Lee
- Department of Pediatrics, Korea University College of Medicine, Korea University Anam Hospital, Seoul, Korea
| | - Hwasun Lee
- Department of Biostatistics, Korea University College of Medicine, Seoul, Korea
| | - Kwang-Sig Lee
- AI Center, Korea University College of Medicine, Korea University Anam Hospitald, 73 Goryeodae-ro, Seongbuk-gu, Seoul, 02841, Korea.
| | - Ki Hoon Ahn
- Department of Obstetrics & Gynecology, Korea University College of Medicine, Korea University Anam Hospital, 73 Goryeodae-ro, Seongbuk-gu, Seoul, 02841, Korea.
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2
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Zhu K, Wactawski-Wende J, Mendola P, Parikh NI, LaMonte MJ, Barnabei VM, Hageman Blair R, Manson JE, Liu S, Wang M, Wild RA, Shadyab AH, Van Horn L, Leblanc ES, Sinkey R, Schnatz PF, Saquib N, Mu L. Adverse pregnancy outcomes and risk of type 2 diabetes in postmenopausal women. Am J Obstet Gynecol 2024; 230:93.e1-93.e19. [PMID: 37490991 PMCID: PMC10803644 DOI: 10.1016/j.ajog.2023.07.030] [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: 02/17/2023] [Revised: 07/13/2023] [Accepted: 07/13/2023] [Indexed: 07/27/2023]
Abstract
BACKGROUND Although gestational diabetes mellitus and delivering high-birthweight infants are known to predict a higher risk of future type 2 diabetes mellitus, the association of hypertensive disorders of pregnancy and other adverse pregnancy outcomes with type 2 diabetes mellitus is not well established. OBJECTIVE This study aimed to examine the associations between different types of adverse pregnancy outcomes and incident type 2 diabetes mellitus among postmenopausal women. STUDY DESIGN The Women's Health Initiative, a nationwide cohort of postmenopausal women, collected self-reported history of adverse pregnancy outcomes, including gestational diabetes mellitus, hypertensive disorders of pregnancy, preterm birth, and delivering low- birthweight (<2500 g) or high-birthweight (>4500 g) infants. Participants were followed up annually for self-reported incident type 2 diabetes mellitus treated with medication from baseline (1993-1998) to March 2021. This study used logistic regression to examine the associations of any and individual adverse pregnancy outcomes with diabetes mellitus. Stratified analyses were performed to assess effect modification by body mass index, race and ethnicity, education, parity, breastfeeding, and age at first birth. RESULTS This analysis included 49,717 women without a history of diabetes mellitus at enrollment who had a least 1 pregnancy and responded to the questionnaire about adverse pregnancy outcomes. After adjusting for body mass index, demographic, lifestyle, and reproductive factors, gestational diabetes mellitus (odds ratio, 2.26; 95% confidence interval, 1.94-2.63), high birthweight (odds ratio, 1.30; 95% confidence interval, 1.18-1.44), and hypertensive disorders of pregnancy (odds ratio, 1.18; 95% confidence interval, 1.08-1.30) were independently associated with higher odds of type 2 diabetes mellitus, whereas preterm birth and low birthweight were not associated with diabetes mellitus risk. A history of ≥2 adverse pregnancy outcomes was associated with higher odds of type 2 diabetes mellitus (odds ratio, 1.55; 95% confidence interval, 1.28-1.88). This study further observed higher odds of type 2 diabetes mellitus (odds ratio, 3.69; 95% confidence interval, 2.38-5.70) among women with a history of both gestational diabetes mellitus and hypertensive disorders of pregnancy than those without any adverse pregnancy outcomes. CONCLUSION Postmenopausal women with a history of gestational diabetes mellitus, those delivering high-birthweight infants, or those with hypertensive disorders of pregnancy are at risk of future type 2 diabetes mellitus. In addition, women with ≥2 conditions had an augmented risk and might be prioritized for screening and prevention efforts for type 2 diabetes mellitus.
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Affiliation(s)
- Kexin Zhu
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY
| | - 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
| | - Pauline Mendola
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY
| | - Nisha I Parikh
- Division of Cardiovascular Medicine, Department of Medicine, University of California, San Francisco, San Francisco, CA
| | - Michael J LaMonte
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY
| | - Vanessa M Barnabei
- Department of Obstetrics and Gynecology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY
| | - Rachael Hageman Blair
- Department of Biostatistics, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY
| | - JoAnn E Manson
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Simin Liu
- Departments of Epidemiology, Medicine, and Surgery, Schools of Public Health and Medicine, Brown University, Providence, RI
| | - Meng Wang
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY
| | - Robert A Wild
- Departments of Obstetrics and Gynecology, Biostatistics and Clinical Epidemiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA
| | - Linda Van Horn
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Erin S Leblanc
- Kaiser Permanente, Center for Health Research, Portland, OR
| | - Rachel Sinkey
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, AL
| | - Peter F Schnatz
- Department of Obstetrics and Gynecology, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, PA
| | - Nazmus Saquib
- Department of Research, College of Medicine, Sulaiman Al Rajhi University, Al Bukayriah, Kingdom of Saudi Arabia
| | - Lina Mu
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY.
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Mazur D, Satora M, Rekowska AK, Kabała Z, Łomża A, Kimber-Trojnar Ż, Leszczyńska-Gorzelak B. Influence of Breastfeeding on the State of Meta-Inflammation in Obesity-A Narrative Review. Curr Issues Mol Biol 2023; 45:9003-9018. [PMID: 37998742 PMCID: PMC10670570 DOI: 10.3390/cimb45110565] [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: 10/28/2023] [Revised: 11/06/2023] [Accepted: 11/08/2023] [Indexed: 11/25/2023] Open
Abstract
Obesity has become an emerging health issue worldwide that continues to grow in females of reproductive age as well. Obesity, as a multisystem and chronic disease, is associated with metabolic inflammation, which is defined as chronic low-grade systemic inflammation mediated by, i.a., adipose tissue macrophages. Lactation has been proven to have a beneficial influence on maternal health and could help restore metabolic balance, especially in the state of maternal obesity. In this review, we aimed to analyze the influence of breastfeeding on chronic low-grade meta-inflammation caused by obesity. We performed a comprehensive literature review using the PubMed, Science Direct, and Google Scholar electronic databases. For this purpose, we searched for "metabolic inflammation"; "meta-inflammation"; "obesity"; "breastfeeding"; "fetal programming"; "energy metabolism"; "postpartum"; "immunity"; "immune system"; and "inflammation" keyword combinations. While the clinical impact of breastfeeding on maternal and offspring health is currently well known, we decided to gain insight into more specific metabolic effects of adiposity, lipid, and glucose homeostasis, and immunological effects caused by the activity of cytokines, macrophages, and other immune system cells. Further research on the immunological and metabolic effects of breastfeeding in obese patients is key to understanding and potentially developing obesity therapeutic strategies.
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Affiliation(s)
| | | | | | | | | | - Żaneta Kimber-Trojnar
- Chair and Department of Obstetrics and Perinatology, Medical University of Lublin, 20-059 Lublin, Poland; (D.M.); (M.S.); (A.K.R.); (Z.K.); (A.Ł.); (B.L.-G.)
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Burgos-Gamez X, Morales-Castillo P, Fernandez-Mejia C. Maternal adaptations of the pancreas and glucose homeostasis in lactation and after lactation. Mol Cell Endocrinol 2023; 559:111778. [PMID: 36162635 DOI: 10.1016/j.mce.2022.111778] [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: 05/01/2022] [Revised: 09/04/2022] [Accepted: 09/13/2022] [Indexed: 02/03/2023]
Abstract
During lactation, the maternal physiology adapts to bear the nutritional requirements of the offspring. The exocrine and endocrine pancreas are central to nutrient handling, promoting digestion and metabolism. In concert with prolactin, insulin is a determinant factor for milk synthesis. The investigation of the pancreas during lactation has been scattered over several periods. The investigations that laid the foundation of lactating pancreatic physiology and glucose homeostasis were conducted in the decades of 1970-1980. With the development of molecular biology, newer studies have revealed the molecular mechanisms involved in the endocrine pancreas during breastfeeding. There has been a surge of information recently about unexpected changes in the pancreas at the end of the lactation period and after weaning. In this review, we aim to gather information on the changes in the pancreas and glucose homeostasis during and after lactation and discuss the outcomes derived from the current discoveries.
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Affiliation(s)
- Xadeni Burgos-Gamez
- Unidad de Genética de la Nutrición. Instituto de Investigaciones Biomédicas. Universidad Nacional Autónoma de México/ Instituto Nacional de Pediatría. Avenida del Iman#1, 4th floor, Mexico City, 04500, Mexico
| | - Paulina Morales-Castillo
- Unidad de Genética de la Nutrición. Instituto de Investigaciones Biomédicas. Universidad Nacional Autónoma de México/ Instituto Nacional de Pediatría. Avenida del Iman#1, 4th floor, Mexico City, 04500, Mexico
| | - Cristina Fernandez-Mejia
- Unidad de Genética de la Nutrición. Instituto de Investigaciones Biomédicas. Universidad Nacional Autónoma de México/ Instituto Nacional de Pediatría. Avenida del Iman#1, 4th floor, Mexico City, 04500, Mexico.
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5
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Zhang Z, Piro AL, Allalou A, Alexeeff SE, Dai FF, Gunderson EP, Wheeler MB. Prolactin and Maternal Metabolism in Women With a Recent GDM Pregnancy and Links to Future T2D: The SWIFT Study. J Clin Endocrinol Metab 2022; 107:2652-2665. [PMID: 35666146 PMCID: PMC9387721 DOI: 10.1210/clinem/dgac346] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Indexed: 11/19/2022]
Abstract
CONTEXT Prolactin is a multifaceted hormone known to regulate lactation. In women with gestational diabetes mellitus (GDM) history, intensive lactation has been associated with lower relative risk of future type 2 diabetes (T2D). However, the role of prolactin in T2D development and maternal metabolism in women with a recent GDM pregnancy has not been ascertained. OBJECTIVE We examined the relationships among prolactin, future T2D risk, and key clinical and metabolic parameters. METHODS We utilized a prospective GDM research cohort (the SWIFT study) and followed T2D onset by performing 2-hour 75-g research oral glucose tolerance test (OGTT) at study baseline (6-9 weeks postpartum) and again annually for 2 years, and also by retrieving clinical diagnoses of T2D from 2 years through 10 years of follow up from electronic medical records. Targeted metabolomics and lipidomics were applied on fasting plasma samples collected at study baseline from 2-hour 75-g research OGTTs in a nested case-control study (100 future incident T2D cases vs 100 no T2D controls). RESULTS Decreasing prolactin quartiles were associated with increased future T2D risk (adjusted odds ratio 2.48; 95% CI, 0.81-7.58; P = 0.05). In women who maintained normoglycemia during the 10-year follow-up period, higher prolactin at baseline was associated with higher insulin sensitivity (P = 0.038) and HDL-cholesterol (P = 0.01), but lower BMI (P = 0.001) and leptin (P = 0.002). Remarkably, among women who developed future T2D, prolactin was not correlated with a favorable metabolic status (all P > 0.05). Metabolomics and lipidomics showed that lower circulating prolactin strongly correlated with a T2D-high risk lipid profile, with elevated circulating neutral lipids and lower concentrations of specific phospholipids/sphingolipids. CONCLUSION In women with recent GDM pregnancy, low circulating prolactin is associated with specific clinical and metabolic parameters and lipid metabolites linked to a high risk of developing T2D.
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Affiliation(s)
- Ziyi Zhang
- Department of Physiology, Faculty of Medicine, University of Toronto, Ontario M5S 1A8, Canada
- Department of Endocrinology, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, Zhejiang 310016, China
| | - Anthony L Piro
- Department of Physiology, Faculty of Medicine, University of Toronto, Ontario M5S 1A8, Canada
| | - Amina Allalou
- Department of Physiology, Faculty of Medicine, University of Toronto, Ontario M5S 1A8, Canada
| | - Stacey E Alexeeff
- Division of Research, Kaiser Permanente Northern California, Oakland, CA 94612, USA
| | - Feihan F Dai
- Correspondence: Feihan F. Dai, PhD, Department of Physiology, Faculty of Medicine, University of Toronto, 1 King’s College Circle, M5S 1A8 Ontario, Canada.
| | - Erica P Gunderson
- Correspondence: Erica P. Gunderson, PhD, MS, MPH, Division of Research, Kaiser Permanente Northern California, 1 King’s College Circle, M5S 1A8 Oakland, CA, USA.
| | - Michael B Wheeler
- Correspondence: Michael B. Wheeler, PhD, Department of Physiology, Faculty of Medicine, University of Toronto, 1 King’s College Circle, M5S 1A8 Ontario, Canada.
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6
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Anhê GF, Bordin S. The adaptation of maternal energy metabolism to lactation and its underlying mechanisms. Mol Cell Endocrinol 2022; 553:111697. [PMID: 35690287 DOI: 10.1016/j.mce.2022.111697] [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: 01/30/2022] [Revised: 04/15/2022] [Accepted: 06/01/2022] [Indexed: 11/29/2022]
Abstract
Maternal energy metabolism undergoes a singular adaptation during lactation that allows for the caloric enrichment of milk. Changes in the mammary gland, changes in the white adipose tissue, brown adipose tissue, liver, skeletal muscles and endocrine pancreas are pivotal for this adaptation. The present review details the landmark studies describing the enzymatic modulation and the endocrine signals behind these metabolic changes. We will also update this perspective with data from recent studies showing transcriptional and post-transcriptional mechanisms that mediate the adaptation of the maternal metabolism to lactation. The present text will also bring experimental and observational data that describe the long-term consequences that short periods of lactation impose to maternal metabolism.
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Affiliation(s)
- Gabriel Forato Anhê
- Department of Translational Medicine, School of Medical Sciences, State University of Campinas, Campinas, Brazil.
| | - Silvana Bordin
- Department of Physiology and Biophysics, Institute of Biomedical Sciences, University of Sao Paulo, Sao Paulo, Brazil
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Melov SJ, White L, Simmons M, Kirby A, Stulz V, Padmanabhan S, Alahakoon TI, Pasupathy D, Cheung NW. The BLIiNG Study - Breastfeeding length and intensity in gestational diabetes and metabolic effects in a subsequent pregnancy: A cohort study. Midwifery 2022; 107:103262. [DOI: 10.1016/j.midw.2022.103262] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 01/18/2022] [Accepted: 01/19/2022] [Indexed: 12/01/2022]
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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: 2.7] [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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Misita D, Yamamoto JM, Yuan Y, Donovan LE, Bell RC, Jarman M. An exploration of differences in infant feeding practices among women with and without diabetes in pregnancy: A mixed-methods study. Diabet Med 2021; 38:e14635. [PMID: 34265117 DOI: 10.1111/dme.14635] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 06/17/2021] [Accepted: 07/07/2021] [Indexed: 11/29/2022]
Abstract
AIMS (1) To determine the likelihood of full breastfeeding at 3 months postpartum in women with and without diabetes in pregnancy (DiP); (2) to explore the associations between diabetes management practices and infant feeding practices in those who had DiP and (3) to examine women's experiences of feeding their infants after having DiP. METHODS The quantitative study used data from Alberta Pregnancy Outcomes and Nutrition (APrON) cohort study. Participants who had DiP (n = 62) were matched 1:3 to participants without DiP for pre-pregnancy BMI, parity, mode of delivery and pre-term birth. Infant feeding questionnaires, prospective breastfeeding diaries and medical chart data were analysed to determine likelihood of fully breastfeeding at 3 months postpartum. For the qualitative study, interviews were conducted with postpartum women who had DiP to explore the experiences of infant feeding. Interviews were thematically analysed, and the results were compared between women who were categorized as 'full breast feeders' or 'mixed feeders'. RESULTS The odds of fully breastfeeding were 50% lower in women with DiP than women without DiP (OR: 0.50, 95% CI 0.25-0.99, p = 0.04). Qualitative interviews identified that although all women showed resilience in the face of infant feeding challenges, those who were fully breastfeeding reported seeking out external infant feeding supports, for example, classes or Doula's. Mixed Feeders perceived there was a lack of infant feeding information and support given to them prior to giving birth. CONCLUSION Women with DiP may require additional prenatal and postnatal infant feeding support to be better prepared to overcome feeding challenges they may face.
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Affiliation(s)
- Dragana Misita
- Department of Agricultural, Food and Nutritional Sciences, Division of Human Nutrition, University of Alberta, Edmonton, AB, Canada
| | - Jennifer M Yamamoto
- Department of Internal Medicine, Division of Endocrinology and Metabolism, Faculty of Medicine, University of Manitoba, Winnipeg, MB, Canada
- Department of Medicine, Division of Endocrinology and Metabolism, Cummings School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Yan Yuan
- School of Public Health, University of Alberta, Edmonton, AB, Canada
| | - Lois E Donovan
- Department of Medicine, Division of Endocrinology and Metabolism, Department of Obstetrics and Gynecology, Cummings School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Rhonda C Bell
- Department of Agricultural, Food and Nutritional Sciences, Division of Human Nutrition, University of Alberta, Edmonton, AB, Canada
| | - Megan Jarman
- Department of Agricultural, Food and Nutritional Sciences, Division of Human Nutrition, University of Alberta, Edmonton, AB, Canada
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11
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Zhang Z, Lai M, Piro AL, Alexeeff SE, Allalou A, Röst HL, Dai FF, Wheeler MB, Gunderson EP. Intensive lactation among women with recent gestational diabetes significantly alters the early postpartum circulating lipid profile: the SWIFT study. BMC Med 2021; 19:241. [PMID: 34620173 PMCID: PMC8499506 DOI: 10.1186/s12916-021-02095-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 08/12/2021] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Women with a history of gestational diabetes mellitus (GDM) have a 7-fold higher risk of developing type 2 diabetes (T2D). It is estimated that 20-50% of women with GDM history will progress to T2D within 10 years after delivery. Intensive lactation could be negatively associated with this risk, but the mechanisms behind a protective effect remain unknown. METHODS In this study, we utilized a prospective GDM cohort of 1010 women without T2D at 6-9 weeks postpartum (study baseline) and tested for T2D onset up to 8 years post-baseline (n=980). Targeted metabolic profiling was performed on fasting plasma samples collected at both baseline and follow-up (1-2 years post-baseline) during research exams in a subset of 350 women (216 intensive breastfeeding, IBF vs. 134 intensive formula feeding or mixed feeding, IFF/Mixed). The relationship between lactation intensity and circulating metabolites at both baseline and follow-up were evaluated to discover underlying metabolic responses of lactation and to explore the link between these metabolites and T2D risk. RESULTS We observed that lactation intensity was strongly associated with decreased glycerolipids (TAGs/DAGs) and increased phospholipids/sphingolipids at baseline. This lipid profile suggested decreased lipogenesis caused by a shift away from the glycerolipid metabolism pathway towards the phospholipid/sphingolipid metabolism pathway as a component of the mechanism underlying the benefits of lactation. Longitudinal analysis demonstrated that this favorable lipid profile was transient and diminished at 1-2 years postpartum, coinciding with the cessation of lactation. Importantly, when stratifying these 350 women by future T2D status during the follow-up (171 future T2D vs. 179 no T2D), we discovered that lactation induced robust lipid changes only in women who did not develop incident T2D. Subsequently, we identified a cluster of metabolites that strongly associated with future T2D risk from which we developed a predictive metabolic signature with a discriminating power (AUC) of 0.78, superior to common clinical variables (i.e., fasting glucose, AUC 0.56 or 2-h glucose, AUC 0.62). CONCLUSIONS In this study, we show that intensive lactation significantly alters the circulating lipid profile at early postpartum and that women who do not respond metabolically to lactation are more likely to develop T2D. We also discovered a 10-analyte metabolic signature capable of predicting future onset of T2D in IBF women. Our findings provide novel insight into how lactation affects maternal metabolism and its link to future diabetes onset. TRIAL REGISTRATION ClinicalTrials.gov NCT01967030 .
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Affiliation(s)
- Ziyi Zhang
- Department of Physiology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
- Department of Endocrinology, Sir Run Run Shaw Hospital, Zhejiang University, Zhejiang, Hangzhou, China
| | - Mi Lai
- Department of Physiology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Anthony L Piro
- Department of Physiology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Stacey E Alexeeff
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Amina Allalou
- Department of Physiology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Hannes L Röst
- Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Ontario, Canada
| | - Feihan F Dai
- Department of Physiology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
| | - Michael B Wheeler
- Department of Physiology, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
- Metabolism Research Group, Division of Advanced Diagnostics, Toronto General Research Institute, Toronto, Ontario, Canada.
| | - Erica P Gunderson
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA.
- Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, USA.
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12
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Breastfeeding Duration and Development of Dysglycemia in Women Who Had Gestational Diabetes Mellitus: Evidence from the GUSTO Cohort Study. Nutrients 2021; 13:nu13020408. [PMID: 33525398 PMCID: PMC7912373 DOI: 10.3390/nu13020408] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 01/19/2021] [Accepted: 01/21/2021] [Indexed: 12/29/2022] Open
Abstract
(1) Background: Breastfeeding has been shown to support glucose homeostasis in women after a pregnancy complicated by gestational diabetes mellitus (GDM) and is potentially effective at reducing long-term diabetes risk. (2) Methods: Data from the Growing Up in Singapore Towards healthy Outcomes (GUSTO) study were analyzed to understand the influence of breastfeeding duration on long-term dysglycemia (prediabetes and diabetes) risk in women who had GDM in the index pregnancy. GDM and dysglycemia four to seven years postpartum were determined by the oral glucose tolerance test (OGTT). A Poisson regression model with a robust error variance was used to estimate incidence rate ratios (IRRs) for dysglycemia four to seven years post-delivery according to groupings of the duration of any breastfeeding (<1, ≥1 to <6, and ≥6 months). (3) Results: Women who had GDM during the index pregnancy and complete breastfeeding information and OGTT four to seven years postpartum were included in this study (n = 116). Fifty-one women (44%) had postpartum dysglycemia. Unadjusted IRRs showed an inverse association between dysglycemia risk and ≥1 month to <6 months (IRR 0.91; 95% confidence interval [CI] 0.57, 1.43; p = 0.68) and ≥6 months (IRR 0.50; 95% CI 0.27, 0.91; p = 0.02) breastfeeding compared to <1 month of any breastfeeding. After adjusting for key confounders, the IRR for the ≥6 months group remained significant (IRR 0.42; 95% CI 0.22, 0.80; p = 0.008). (4) Conclusions: Our results suggest that any breastfeeding of six months or longer may reduce long-term dysglycemia risk in women with a history of GDM in an Asian setting. Breastfeeding has benefits for mothers beyond weight loss, particularly for those with GDM.
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13
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Martin Carli JF, Trahan GD, Jones KL, Hirsch N, Rolloff KP, Dunn EZ, Friedman JE, Barbour LA, Hernandez TL, MacLean PS, Monks J, McManaman JL, Rudolph MC. Single Cell RNA Sequencing of Human Milk-Derived Cells Reveals Sub-Populations of Mammary Epithelial Cells with Molecular Signatures of Progenitor and Mature States: a Novel, Non-invasive Framework for Investigating Human Lactation Physiology. J Mammary Gland Biol Neoplasia 2020; 25:367-387. [PMID: 33216249 PMCID: PMC8016415 DOI: 10.1007/s10911-020-09466-z] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2020] [Accepted: 10/27/2020] [Indexed: 02/07/2023] Open
Abstract
Cells in human milk are an untapped source, as potential "liquid breast biopsies", of material for investigating lactation physiology in a non-invasive manner. We used single cell RNA sequencing (scRNA-seq) to identify milk-derived mammary epithelial cells (MECs) and their transcriptional signatures in women with diet-controlled gestational diabetes (GDM) with normal lactation. Methodology is described for coordinating milk collections with single cell capture and library preparation via cryopreservation, in addition to scRNA-seq data processing and analyses of MEC transcriptional signatures. We comprehensively characterized 3740 cells from milk samples from two mothers at two weeks postpartum. Most cells (>90%) were luminal MECs (luMECs) expressing lactalbumin alpha and casein beta and positive for keratin 8 and keratin 18. Few cells were keratin 14+ basal MECs and a small immune cell population was present (<10%). Analysis of differential gene expression among clusters identified six potentially distinct luMEC subpopulation signatures, suggesting the potential for subtle functional differences among luMECs, and included one cluster that was positive for both progenitor markers and mature milk transcripts. No expression of pluripotency markers POU class 5 homeobox 1 (POU5F1, encoding OCT4) SRY-box transcription factor 2 (SOX2) or nanog homeobox (NANOG), was observed. These observations were supported by flow cytometric analysis of MECs from mature milk samples from three women with diet-controlled GDM (2-8 mo postpartum), indicating a negligible basal/stem cell population (epithelial cell adhesion molecule (EPCAM)-/integrin subunit alpha 6 (CD49f)+, 0.07%) and a small progenitor population (EPCAM+/CD49f+, 1.1%). We provide a computational framework for others and future studies, as well as report the first milk-derived cells to be analyzed by scRNA-seq. We discuss the clinical potential and current limitations of using milk-derived cells as material for characterizing human mammary physiology.
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Affiliation(s)
- Jayne F Martin Carli
- Department of Pediatrics, Section of Nutrition, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
| | - G Devon Trahan
- Department of Pediatrics, Section of Hematology, Oncology, and Bone Marrow Transplant, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Kenneth L Jones
- Department of Pediatrics, Section of Hematology, Oncology, and Bone Marrow Transplant, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Cell Biology, Oklahoma University Health Sciences Center, Oklahoma City, OK, USA
| | - Nicole Hirsch
- Department of Medicine, Division of Endocrinology, Metabolism and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Kristy P Rolloff
- Department of Medicine, Division of Endocrinology, Metabolism and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Emily Z Dunn
- Department of Medicine, Division of Endocrinology, Metabolism and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Jacob E Friedman
- Department of Pediatrics, Section of Neonatology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Physiology, Oklahoma University Health Sciences Center, Oklahoma City, OK, USA
| | - Linda A Barbour
- Department of Medicine, Division of Endocrinology, Metabolism and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Obstetrics & Gynecology, Division of Maternal-Fetal Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Teri L Hernandez
- Department of Medicine, Division of Endocrinology, Metabolism and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- College of Nursing, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Paul S MacLean
- Department of Medicine, Division of Endocrinology, Metabolism and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Jenifer Monks
- Department of Obstetrics & Gynecology, Division of Reproductive Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - James L McManaman
- Department of Obstetrics & Gynecology, Division of Reproductive Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Michael C Rudolph
- Department of Medicine, Division of Endocrinology, Metabolism and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Physiology, Oklahoma University Health Sciences Center, Oklahoma City, OK, USA
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14
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Harville EW, Bazzano L, Qi L, He J, Dorans K, Perng W, Kelly T. Branched-chain amino acids, history of gestational diabetes, and breastfeeding: The Bogalusa Heart Study. Nutr Metab Cardiovasc Dis 2020; 30:2077-2084. [PMID: 32819784 PMCID: PMC7606618 DOI: 10.1016/j.numecd.2020.06.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Revised: 06/17/2020] [Accepted: 06/18/2020] [Indexed: 10/24/2022]
Abstract
BACKGROUND AND AIMS To examine the associations between history of gestational diabetes mellitus (GDM) and breastfeeding with branched-chain amino acids (BCAA) and their metabolites in later life. METHODS AND RESULTS 638 women (mean age 48.0 y) who had participated in the Bogalusa Heart Study and substudies of pregnancy history had untargeted, ultrahigh performance liquid chromatography-tandem mass spectroscopy conducted by Metabolon© on serum samples. Metabolites were identified that were BCAA or associated with BCAA metabolic pathways. History of GDM at any pregnancy (self-reported, confirmed with medical records when possible) as well as breastfeeding were examined as predictors of BCAA using linear models, controlling for age, race, BMI, waist circumference, and menopausal status. None of the BCAA differed statistically by history of either GDM or breastfeeding, although absolute levels of each of the BCAA were higher with GDM and lower with breastfeeding. Of the 27 metabolites on the leucine, isoleucine and valine metabolism subpathway, 1-carboxyethylleucine, 1-carboxyethyvaline, and 3-hydroxy-2-ethylpropionate were higher in women with a history of GDM, but lower in women in women with a history of breastfeeding. Similar results were found for alpha-hydroxyisocaproate, 1-carboxyethylisoleucine, and N-acetylleucine. CONCLUSIONS GDM and breastfeeding are associated in opposite directions with several metabolites on the BCAA metabolic pathway.
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Affiliation(s)
- Emily W Harville
- Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, New Orleans, LA, United States.
| | - Lydia Bazzano
- Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, New Orleans, LA, United States
| | - Lu Qi
- Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, New Orleans, LA, United States
| | - Jiang He
- Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, New Orleans, LA, United States
| | - Kirsten Dorans
- Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, New Orleans, LA, United States
| | - Wei Perng
- Department of Epidemiology, Colorado School of Public Health, Denver, CO, United States
| | - Tanika Kelly
- Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, New Orleans, LA, United States
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15
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Mazariegos M, Ortiz-Panozo E, Stern D, González de Cosío T, Lajous M, López-Ridaura R. Lactation and maternal risk of diabetes: Evidence from the Mexican Teachers' Cohort. MATERNAL AND CHILD NUTRITION 2020; 15:e12880. [PMID: 31343828 DOI: 10.1111/mcn.12880] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2019] [Revised: 06/24/2019] [Accepted: 07/23/2019] [Indexed: 12/19/2022]
Abstract
One postpartum behaviour that may be protective against diabetes is lactation due to its potential role in resetting maternal metabolism after pregnancy. However, the role of lactation in maternal risk of diabetes has not been investigated in Latin American populations, where rates of breastfeeding are suboptimal and diabetes incidence is increasing. Therefore, our aim was to estimate the association between mean duration of lactation per child and maternal incidence of diabetes. We followed 66,573 women from the Mexican Teachers' Cohort free of diabetes at baseline. Incident diabetes was ascertained through triennial questionnaires and lactation history was asked in baseline questionnaire. We used Cox proportional hazards regression models to estimate the hazard ratio (HR) for diabetes by mean duration of lactation per child. We examined the dose-response association between lactation per child and diabetes with restricted cubic splines. We found that 3,168 incident cases of diabetes were diagnosed during 157,510 person years of follow-up. In comparison with women who did not breastfed, women with a mean lactation per child of 3 to <6 months and 6 to <12 months had HRs of 0.81 (95% CI [0.65, 0.99]) and 0.73 (95% CI [0.59, 0.91]), respectively (p for quadratic term 0.004). There was no further decline in risk of diabetes after ≥12 months of lactation per child. The dose-response association between lactation and diabetes was linear up to 9 months of lactation. Our findings suggest that lactation is associated with reduced incidence of diabetes, indicating considerable potential for diabetes prevention on a population level.
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Affiliation(s)
- Mónica Mazariegos
- Nutrition and Health Research Center, National Institute of Public Health, Cuernavaca, Mexico
| | - Eduardo Ortiz-Panozo
- Center for Research on Population Health, National Institute of Public Health, Cuernavaca, Mexico
| | - Dalia Stern
- CONACyT-Center for Research on Population Health, National Institute of Public Health, Cuernavaca, Mexico
| | | | - Martin Lajous
- Center for Research on Population Health, National Institute of Public Health, Cuernavaca, Mexico.,Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Ruy López-Ridaura
- Center for Research on Population Health, National Institute of Public Health, Cuernavaca, Mexico
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16
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Rameez RM, Sadana D, Kaur S, Ahmed T, Patel J, Khan MS, Misbah S, Simonson MT, Riaz H, Ahmed HM. Association of Maternal Lactation With Diabetes and Hypertension: A Systematic Review and Meta-analysis. JAMA Netw Open 2019; 2:e1913401. [PMID: 31617928 PMCID: PMC6806428 DOI: 10.1001/jamanetworkopen.2019.13401] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
IMPORTANCE Lactation has been shown to be associated with lower rates of diabetes and hypertension in mothers. However, the strength of association has varied between studies, and sample sizes are relatively small. OBJECTIVE To conduct a systematic review and meta-analysis to determine whether lactation is associated with a lower risk of diabetes and hypertension. DATA SOURCES Ovid MEDLINE, Ovid Embase, Cochrane CENTRAL, and CINAHL databases were searched from inception to July 2018 with manual search of the references. STUDY SELECTION Studies of adult women that specified duration of breastfeeding for at least 12 months, evaluated primary hypertension and diabetes as outcomes, were full-text articles in English, and reported statistical outcomes as odds ratios were included. DATA EXTRACTION AND SYNTHESIS Study characteristics were independently extracted using a standard spreadsheet template and the data were pooled using the random-effects model. The Meta-analysis of Observational Studies in Epidemiology (MOOSE) guideline for reporting was followed. MAIN OUTCOMES AND MEASURES Diabetes and hypertension. RESULTS The search yielded 1558 articles, from which a total of 6 studies met inclusion criteria for association between breastfeeding and diabetes and/or hypertension. The 4 studies included in the meta-analysis for the association between lactation and diabetes had a total of 206 204 participants, and the 5 studies included in the meta-analysis for the association between lactation and hypertension had a total of 255 271 participants. Breastfeeding for more than 12 months was associated with a relative risk reduction of 30% for diabetes (pooled odds ratio, 0.70 [95% CI, 0.62-0.78]; P < .001) and a relative risk reduction of 13% for hypertension (pooled odds ratio, 0.87 [95% CI, 0.78-0.97]; P = .01). CONCLUSIONS AND RELEVANCE This study suggests that education about the benefits of breastfeeding for prevention of diabetes and hypertension in women is a low-risk intervention that can be easily included in daily practice and may have a positive impact on cardiovascular outcomes in mothers.
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Affiliation(s)
| | - Divyajot Sadana
- Department of Pulmonary and Critical Care Medicine, Cleveland Clinic, Cleveland, Ohio
| | - Simrat Kaur
- Department of Internal Medicine, Cleveland Clinic, Cleveland, Ohio
| | - Taha Ahmed
- Department of Internal Medicine, Cleveland Clinic–Fairview Hospital, Cleveland, Ohio
| | - Jay Patel
- Department of Internal Medicine, Cleveland Clinic, Cleveland, Ohio
| | - Muhammad Shahzeb Khan
- Department of Internal Medicine, John H. Stroger Jr Hospital of Cook County, Chicago, Illinois
| | | | | | - Haris Riaz
- Heart and Vascular Institute, Cleveland Clinic, Cleveland, Ohio
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17
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Breastfeeding and maternal cardiovascular risk factors: 1982 Pelotas Birth Cohort. Sci Rep 2019; 9:13092. [PMID: 31511590 PMCID: PMC6739402 DOI: 10.1038/s41598-019-49576-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2018] [Accepted: 08/23/2019] [Indexed: 01/09/2023] Open
Abstract
This study evaluated the association of breastfeeding duration with maternal metabolic cardiovascular risk factors among women who have been prospectively followed since birth in a southern Brazilian city. In the unadjusted analysis, total cholesterol was higher among women who never breastfed in relation to those who breastfed ≥12 months. Among women with one livebirth, a shorter duration of breastfeeding was associated with lower HDL, while those with two or more livebirths and that breastfed for shorter time presented lower pulse wave velocity, glycaemia and non-HDL measures. After controlling for confounding variables, the magnitude of these associations decreased, and the confidence intervals included the reference. Concerning the duration of breastfeeding of the last child, the analysis was stratified by time since last birth. After controlling for confounders, systolic blood pressure was lower among women who breastfed 3 to <6 months and had a child within the last five years in relation to those who breastfed ≥6, but no clear trend was observed (p = 0.17). In conclusion, our findings suggest that there is no association between lactation and maternal cardiometabolic risk factors.
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18
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Foss KA, Blake K. "It's natural and healthy, but I don't want to see it": Using Entertainment-Education to Improve Attitudes Toward Breastfeeding in Public. HEALTH COMMUNICATION 2019; 34:919-930. [PMID: 29474130 DOI: 10.1080/10410236.2018.1440506] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
While it has been well established that breastfeeding provides the best nourishment for children, few women achieve the recommended breastfeeding duration. Negative media messages have been identified as one explanation for the lack of individual and public support for breastfeeding. This study explored the influence of media on the knowledge and attitudes of a nearly childless population to ascertain if and how entertainment media can positively impact perceptions of breastfeeding. Using cultivation and parasocial interaction, this research measured entertainment television's effect on breastfeeding attitudes using randomized-group experiments involving 375 students. Overall, participants generally held positive attitudes but were uncomfortable seeing breastfeeding. Moreover, results indicate that viewing a prime-time television clip that depicted public breastfeeding not only significantly lessened the extent to which participants believed that breastfeeding was a private activity but also improved attitudes and support for breastfeeding in public. This study concludes that more pro-breastfeeding media messages in entertainment media could help create a climate conducive to breastfeeding success.
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Affiliation(s)
| | - Ken Blake
- a School of Journalism , Middle Tennessee State University
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Nam GE, Han K, Kim DH, Huh Y, Han B, Cho SJ, Park YG, Park YM. Associations between Breastfeeding and Type 2 Diabetes Mellitus and Glycemic Control in Parous Women: A Nationwide, Population-Based Study. Diabetes Metab J 2019; 43:236-241. [PMID: 30604596 PMCID: PMC6470099 DOI: 10.4093/dmj.2018.0044] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2018] [Accepted: 08/16/2018] [Indexed: 11/09/2022] Open
Abstract
We investigated associations between breastfeeding duration and number of children breastfed and type 2 diabetes mellitus (T2DM) and glycemic control among parous women. We performed a cross-sectional analysis of data for 9,960 parous women from the Korea National Health and Nutritional Examination Survey (2010 to 2013). Having ever breastfed was inversely associated with prevalent T2DM (adjusted odds ratio [OR], 0.60; 95% confidence interval [CI], 0.42 to 0.87). All ranges of total and average breastfeeding duration showed inverse associations with T2DM. Even short periods of breastfeeding were inversely associated with T2DM (adjusted OR, 0.61; 95% CI, 0.38 to 0.99 for a total breastfeeding duration ≤12 months; adjusted OR, 0.65; 95% CI, 0.42 to 0.99 for an average breastfeeding duration per child ≤6 months). A longer duration of breastfeeding was associated with better glycemic control in parous women with T2DM (P trend=0.004 for total breastfeeding duration; P trend <0.001 for average breastfeeding duration per child). Breastfeeding may be associated with a lower risk of T2DM and good glycemic control in parous women with T2DM. Breastfeeding may be a feasible method to prevent T2DM and improve glycemic control.
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Affiliation(s)
- Ga Eun Nam
- Department of Family Medicine, Sahmyook Medical Center, Seoul, Korea
| | - Kyungdo Han
- Department of Medical Statistics, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Do Hoon Kim
- Department of Family Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Korea
| | - Youn Huh
- Department of Family Medicine, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea
| | - Byoungduck Han
- Department of Family Medicine, Sahmyook Medical Center, Seoul, Korea
| | - Sung Jung Cho
- Department of Family Medicine, Sahmyook Medical Center, Seoul, Korea
| | - Yong Gyu Park
- Department of Medical Statistics, College of Medicine, The Catholic University of Korea, Seoul, Korea.
| | - Yong Moon Park
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA.
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20
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Herrera SR, Vincent KL, Poole A, Olson G, Patrikeev I, Saada J, Gamble P, Motamedi M, Saade GR, Stuebe AM, Prewit EB. Long-Term Effect of Lactation on Maternal Cardiovascular Function and Adiposity in a Murine Model. Am J Perinatol 2019; 36:490-497. [PMID: 30193385 PMCID: PMC9126077 DOI: 10.1055/s-0038-1669443] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
OBJECTIVE Epidemiological studies suggest that lactation is associated with long-term maternal health benefits. To avoid confounders in human studies, we used a previously characterized murine model to investigate the long-term effect of lactation on both cardiovascular function and adiposity. STUDY DESIGN After the delivery of the pups, CD-1 female mice were randomly divided into two groups: lactated and nonlactated (NL). Before pregnancy and at 9 months postdelivery, blood pressure was measured using a tail cuff, visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) were assessed by computed tomography (CT), echocardiography was performed using microultrasound, and cholesterol panels and fasting blood glucose were measured. The data were analyzed using Student's t-test (significance at p < 0.05). RESULTS There were no differences in baseline parameters between the two groups. At 9 months postdelivery, the NL group weighed significantly more (p = 0.03) and demonstrated a significantly lower cardiac output (p = 0.05) and ejection fraction (p = 0.03). The mice in the NL group also had higher VAT (p < 0.01) and SAT percentiles (p = 0.03). Fasting glucose (p = 0.01) and low-density lipoprotein (p = 0.01) were significantly higher in the NL group at 9 months. CONCLUSION Our results show the benefit of lactation is not just limited to the immediate postpartum period but it also extends into midlife in a murine model.
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Affiliation(s)
- Sandra R. Herrera
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Texas Medical Branch, Galveston, Texas
| | - Kathleen L. Vincent
- Division of Gynecology, Department of Obstetrics and Gynecology, Center for Biomedical Engineering, University of Texas Medical Branch, Galveston, Texas
| | - Aaron Poole
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Texas Medical Branch, Galveston, Texas
| | - Gayle Olson
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Texas Medical Branch, Galveston, Texas
| | - Igor Patrikeev
- Center for Biomedical Engineering, University of Texas Medical Branch, Galveston, Texas
| | - Jamal Saada
- Center for Biomedical Engineering, University of Texas Medical Branch, Galveston, Texas
| | - Phyllis Gamble
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Texas Medical Branch, Galveston, Texas
| | - Massoud Motamedi
- Center for Biomedical Engineering, University of Texas Medical Branch, Galveston, Texas
| | - George R. Saade
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Texas Medical Branch, Galveston, Texas
| | - Alison M. Stuebe
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, University of North Carolina School of Medicine, Chapel Hill, North Carolina,Department of Maternal and Child Health, University of North Carolina Gillings School of Public Health, Chapel Hill, North Carolina
| | - Egle Bytautiene Prewit
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Texas Medical Branch, Galveston, Texas
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21
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Shen Y, Leng J, Li W, Zhang S, Liu H, Shao P, Wang P, Wang L, Tian H, Zhang C, Yang X, Yu Z, Hou L, Tuomilehto J, Hu G. Lactation intensity and duration to postpartum diabetes and prediabetes risk in women with gestational diabetes. Diabetes Metab Res Rev 2019; 35:e3115. [PMID: 30548991 PMCID: PMC6442676 DOI: 10.1002/dmrr.3115] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2018] [Revised: 11/29/2018] [Accepted: 12/11/2018] [Indexed: 12/25/2022]
Abstract
OBJECTIVE To investigate the association of lactation intensity and duration with postpartum diabetes and prediabetes risks among Chinese women with a history of gestational diabetes (GDM). METHODS We included 1260 women with a history of GDM who participated in the whole population's GDM universal screening survey by using the 1999 World Health Organization's criteria. Lactation intensity and lactation duration were collected by a standardized questionnaire. Postpartum diabetes and prediabetes risk were confirmed by an oral glucose tolerance test. RESULTS During a mean postpartum period of 3.65 years, we identified 114 cases of diabetes and 417 cases of prediabetes. The multivariable-adjusted hazard ratios based on different lactation intensity (exclusive formula, mixed feeding, and exclusive lactation) were 1.00, 0.68, 0.45 for diabetes (Ptrend = 0.008), and 1.00, 0.74, and 0.61 for prediabetes (Ptrend = 0.006), respectively. The multivariable-adjusted hazard ratios associated with different lactation duration (none, 0-6 months, 6-12 months, 12-18 months, and ≥18 months) were 1.00, 0.66, 0.42, 0.66, and 0.25 for diabetes (Ptrend = 0.013), and 1.00, 0.82, 0.62, 0.67, and 0.63 for prediabetes (Ptrend = 0.021), respectively. A restricted cubic spline curve showed a graded inverse association of lactation duration with the risks of diabetes and prediabetes (Ptrend < 0.001). CONCLUSIONS Higher-lactation intensity and longer-lactation duration were significantly associated with lower risks of postpartum diabetes and prediabetes among Chinese women with a history of GDM.
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Affiliation(s)
- Yun Shen
- Pennington Biomedical Research Center, Baton Rouge, LA
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Six People’s Hospital, Shanghai, China
| | - Junhong Leng
- Tianjin Women’s and Children’s Health Center, Tianjin, China
| | - Weiqin Li
- Tianjin Women’s and Children’s Health Center, Tianjin, China
| | - Shuang Zhang
- Tianjin Women’s and Children’s Health Center, Tianjin, China
| | - Huikun Liu
- Tianjin Women’s and Children’s Health Center, Tianjin, China
| | - Ping Shao
- Tianjin Women’s and Children’s Health Center, Tianjin, China
| | - Peng Wang
- Tianjin Women’s and Children’s Health Center, Tianjin, China
| | - Leishen Wang
- Tianjin Women’s and Children’s Health Center, Tianjin, China
| | - Huiguang Tian
- Tianjin Women’s and Children’s Health Center, Tianjin, China
| | - Cuilin Zhang
- Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD
| | - Xilin Yang
- Department of Epidemiology, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Zhijie Yu
- Population Cancer Research program, Dalhousie University, Halifax, NS, Canada
| | - Lifang Hou
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Jaakko Tuomilehto
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Gang Hu
- Pennington Biomedical Research Center, Baton Rouge, LA
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22
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Lima NP, Bassani DG, Silva BGCD, Motta JVS, Magalhães EIS, Barros FC, Horta BL. Association of breastfeeding, maternal anthropometry and body composition in women at 30 years of age. CAD SAUDE PUBLICA 2019; 35:e00122018. [PMID: 30785489 DOI: 10.1590/0102-311x00122018] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2018] [Accepted: 09/10/2018] [Indexed: 11/22/2022] Open
Abstract
This study aimed at assessing the association of breastfeeding with maternal body mass index (BMI), waist circumference, fat mass index, fat free mass index, android/gynoid fat ratio and bone mineral density. In 1982, the maternity hospitals in Pelotas, Rio Grande do Sul State, Brazil, were daily visited and all live births were identified and examined. These subjects underwent follow-up for several times. At 30 years of age, the participants were interviewed and examined. Parous women provided information on parity and duration of breastfeeding. Multiple linear regression was used in the multivariate analysis, controlling for genomic ancestry, family income, schooling and smoking at 2004-2005. After controlling for confounding factors, breastfeeding was inversely associated with BMI and fat mass index, whereas breastfeeding per live birth was negatively associated with BMI, waist circumference and fat mass index. Women who had had a child in the last 5 years and had breastfed, showed lower BMI (β = -2.12, 95%CI: -4.2; -0.1), waist circumference (β = -4.46, 95%CI: -8.3; -0.6) and fat mass index (β = -1.79, 95%CI: -3.3; -0.3), whereas no association was observed among those whose last childbirth was > 5 years, but the p-value for the tests of interaction were > 0.05. Our findings suggest that breastfeeding is associated with lower BMI and other adiposity measures, mostly in the first years after delivery. Besides that, it has no negative impact on bone mineral density.
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Affiliation(s)
- Natália Peixoto Lima
- Programa de Pós-graduação em Epidemiologia, Universidade Federal de Pelotas, Pelotas, Brasil
| | - Diego G Bassani
- Centre for Global Child Health, Hospital for Sick Children, Toronto, Canada.,Department of Paediatrics, University of Toronto, Toronto, Canada
| | - Bruna G C da Silva
- Programa de Pós-graduação em Epidemiologia, Universidade Federal de Pelotas, Pelotas, Brasil
| | - Janaína V S Motta
- Programa de Pós-graduação em Saúde e Comportamento, Universidade Católica de Pelotas, Pelotas, Brasil
| | - Elma Izze S Magalhães
- Programa de Pós-graduação em Epidemiologia, Universidade Federal de Pelotas, Pelotas, Brasil
| | - Fernando C Barros
- Programa de Pós-graduação em Saúde e Comportamento, Universidade Católica de Pelotas, Pelotas, Brasil
| | - Bernardo L Horta
- Programa de Pós-graduação em Epidemiologia, Universidade Federal de Pelotas, Pelotas, Brasil
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23
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Zachou G, Armeni E, Lambrinoudaki I. Lactation and maternal cardiovascular disease risk in later life. Maturitas 2019; 122:73-79. [PMID: 30797534 DOI: 10.1016/j.maturitas.2019.01.007] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2018] [Revised: 01/09/2019] [Accepted: 01/22/2019] [Indexed: 01/20/2023]
Abstract
Cardiovascular disease is the leading cause of death worldwide. The identification of protective factors against cardiovascular disease is important with regard to public health policies. Lactation has multiple beneficial effects for both mother and child. This review summarizes the evidence on the association between lactation and maternal cardiovascular risk in later life. Lactation may help to reverse the metabolic and cardiovascular changes that take place during pregnancy. Overall, lactation seems to exert a protective effect against the development of hypertension, metabolic syndrome, and diabetes, whilst data on postpartum weight and lipidemic profile are less conclusive. Both subclinical and clinical cardiovascular disease are negatively associated with a history of lactation. Increased energy expenditure and a favorable hormonal and adipokine profile during lactation may explain these associations.
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Affiliation(s)
- Georgia Zachou
- 2nd Department of Obstetrics and Gynecology, Medical School, University of Athens, Aretaieio Hospital, 76 Vas. Sofias Str., GR 11528, Athens, Greece
| | - Eleni Armeni
- 2nd Department of Obstetrics and Gynecology, Medical School, University of Athens, Aretaieio Hospital, 76 Vas. Sofias Str., GR 11528, Athens, Greece
| | - Irene Lambrinoudaki
- 2nd Department of Obstetrics and Gynecology, Medical School, University of Athens, Aretaieio Hospital, 76 Vas. Sofias Str., GR 11528, Athens, Greece.
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24
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Vicente JM, Teixeira CJ, Santos-Silva JC, de Souza DN, Tobar N, Furtuoso FS, Adabo IG, Sodré FS, Murata G, Bordin S, Anhê GF. The absence of lactation after pregnancy induces long-term lipid accumulation in maternal liver of mice. Life Sci 2019; 217:261-270. [DOI: 10.1016/j.lfs.2018.12.026] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2018] [Revised: 12/11/2018] [Accepted: 12/14/2018] [Indexed: 01/17/2023]
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25
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Velle-Forbord V, Skråstad RB, Salvesen Ø, Kramer MS, Morken NH, Vanky E. Breastfeeding and long-term maternal metabolic health in the HUNT Study: a longitudinal population-based cohort study. BJOG 2018; 126:526-534. [PMID: 30461169 DOI: 10.1111/1471-0528.15538] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/21/2018] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Breastfeeding (BF) has been reported to improve long-term maternal metabolic health in observational studies, but not in the randomised controlled PROBIT study. Research also suggests that maternal pre-pregnant metabolic health may affect BF. We aimed to disentangle effects of BF on long-term maternal metabolic health from effects of pre-pregnant metabolic health on BF duration and long-term metabolic health. DESIGN Longitudinal population-based cohort study. SETTING Nord-Trøndelag county, Norway. POPULATION Women with a first live-born baby (1987-2008) participating in the Nord-Trøndelag Health Study (HUNT). METHODS Odds ratios (ORs) for short BF duration (<3 months) by pre-pregnant body mass index (BMI), waist circumference (WCF), blood pressures (BPs), and heart rate (HR) were adjusted for age and smoking using logistic regression. Mixed linear models were used to estimate effects of BF duration (<3, 3-6, >6 months) on mean values of metabolic health parameters from baseline to follow-up. MAIN OUTCOME MEASURES Mean change in BMI, WCF, BPs, HR, serum-glucose, and serum-lipids from baseline to follow-up by BF duration categories. RESULTS We analysed 1403 women with a median follow-up of 12 years (interquartile range 11-22). Pre-pregnant WCF and HR correlated inversely with BF duration. Pre-pregnant BMI had a u-shaped correlation-pattern with BF duration. We observed similar between-group differences in metabolic health parameters at baseline and at follow-up, which implies that mean change in metabolic health parameters was similar across BF groups. Those women who started out with the best health had the longest BF duration and ended up with the best health, and those women who started out with the poorest health had shortest BF duration and ended up with the poorest health. CONCLUSIONS Our results do not support a causal relationship between long BF duration and improved metabolic health. It is more likely that pre-pregnant metabolic health affects both BF duration and long-term metabolic health. Reverse causality can explain previously observed improved long-term metabolic health after BF. TWEETABLE ABSTRACT Breastfeeding seems not to affect long-term maternal metabolic health, but good pre-pregnant metabolic health does.
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Affiliation(s)
- V Velle-Forbord
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - R B Skråstad
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Clinical Pharmacology, St. Olav's University Hospital, Trondheim, Norway
| | - Ø Salvesen
- Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
| | - M S Kramer
- Department of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine, McGill University, Montreal, QC, Canada.,Department of Pediatrics, Faculty of Medicine, McGill University, Montreal, QC, Canada
| | - N H Morken
- Department of Clinical Science, University of Bergen, Bergen, Norway.,Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
| | - E Vanky
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Obstetrics and Gynecology, St. Olav's University Hospital, Trondheim, Norway
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26
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Kim SY. Breastfeeding Can Reduce the Risk of Developing Diabetes. Korean J Fam Med 2018; 39:271-272. [PMID: 30261715 PMCID: PMC6166112 DOI: 10.4082/kjfm.39.5e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Affiliation(s)
- Soo Young Kim
- Department of Family Medicine, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Korea
- Corresponding Author: Soo Young Kim https://orcid.org/0000-0002-3205-9408 Tel: +82-2-2224-2406, Fax: +82-2-2224-2409, E-mail:
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27
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Kim HN, Jung YA, Kang LL, Park HK, Hwang HS, Park KY. Association between Breastfeeding and Prevalence of Diabetes in Korean Parous Women: The Korea National Health and Nutrition Examination Survey, 2010–2014. Korean J Fam Med 2018; 39:273-278. [PMID: 29983042 PMCID: PMC6166119 DOI: 10.4082/kjfm.17.0023] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2017] [Accepted: 09/04/2017] [Indexed: 12/13/2022] Open
Abstract
Background It is well known that breastfeeding has a significant impact on the health of mothers and children. With the growing importance of breastfeeding, the present study aimed to investigate the relationship between breastfeeding and the prevalence of diabetes in Korean parous women. Methods The data of 5,448 premenopausal parous women aged 20–49 years who agreed to participate in the 5th–6th Korea National Health and Nutrition Examination Survey were analyzed in this study. Control group included women who had not breastfed. The subjects who had breastfed were classified into three groups based on the duration of breastfeeding: 0–6 months, 6–12 months, and >12 months. The variables included age, body mass index, education level, income, alcohol drinking, smoking, family history of diabetes, use of oral contraceptives, the number of pregnancies, and regular exercise. Results Among the subjects, the prevalence of diabetes was significantly lower in women who had breastfed compared to those who had not, with an odds ratio of 0.534 (95% confidence interval [CI], 0.289–0.976) in women who breastfed for 0–6 months and 0.575 (95% CI, 0.321–0.990) in women who breastfed for 6–12 months (both P<0.05). Conclusion The present study found a reduced prevalence of diabetes in women who had breastfed compared to those who had not. However, no association between the duration of breastfeeding and the prevalence of diabetes could be found.
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Affiliation(s)
- Ha-Nui Kim
- Department of Family Medicine, Hanyang University College of Medicine, Seoul, Korea
| | - Young-Ah Jung
- Department of Family Medicine, Hanyang University College of Medicine, Seoul, Korea
| | - Li-Ly Kang
- Department of Family Medicine, Hanyang University College of Medicine, Seoul, Korea
| | - Hoon-Ki Park
- Department of Family Medicine, Hanyang University College of Medicine, Seoul, Korea
| | - Hwan-Sik Hwang
- Department of Family Medicine, Hanyang University College of Medicine, Seoul, Korea
| | - Kye-Yeung Park
- Department of Family Medicine, Hanyang University College of Medicine, Seoul, Korea
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28
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Gunderson EP, Lewis CE, Lin Y, Sorel M, Gross M, Sidney S, Jacobs DR, Shikany JM, Quesenberry CP. Lactation Duration and Progression to Diabetes in Women Across the Childbearing Years: The 30-Year CARDIA Study. JAMA Intern Med 2018; 178:328-337. [PMID: 29340577 PMCID: PMC5885916 DOI: 10.1001/jamainternmed.2017.7978] [Citation(s) in RCA: 94] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2017] [Accepted: 11/20/2017] [Indexed: 11/14/2022]
Abstract
Importance Lactation duration has shown weak protective associations with incident diabetes (3%-15% lower incidence per year of lactation) in older women based solely on self-report of diabetes, studies initiated beyond the reproductive period are vulnerable to unmeasured confounding or reverse causation from antecedent biochemical risk status, perinatal outcomes, and behaviors across the childbearing years. Objective To evaluate the association between lactation and progression to diabetes using biochemical testing both before and after pregnancy and accounting for prepregnancy cardiometabolic measures, gestational diabetes (GD), and lifestyle behaviors. Design, Setting, and Participants For this US multicenter, community-based 30-year prospective cohort study, there were 1238 women from the Coronary Artery Risk Development in Young Adults (CARDIA) study of young black and white women ages 18 to 30 years without diabetes at baseline (1985-1986) who had 1 or more live births after baseline, reported lactation duration, and were screened for diabetes up to 7 times during 30 years after baseline (1986-2016). Exposures Time-dependent lactation duration categories (none, >0 to 6 months, >6 to <12 months, and ≥12 months) across all births since baseline through 30 years. Main Outcomes and Measures Diabetes incidence rates per 1000 person-years and adjusted relative hazards (RH) with corresponding 95% CIs, as well as proportional hazards regression models adjusted for biochemical, sociodemographic, and reproductive risk factors, as well as family history of diabetes, lifestyle, and weight change during follow-up. Results Overall 1238 women were included in this analysis (mean [SD] age, 24.2 [3.7] years; 615 black women). There were 182 incident diabetes cases during 27 598 person-years for an overall incidence rate of 6.6 cases per 1000 person-years (95% CI, 5.6-7.6); and rates for women with GD and without GD were 18.0 (95% CI, 13.3-22.8) and 5.1 (95% CI, 4.2-6.0), respectively (P for difference < .001). Lactation duration showed a strong, graded inverse association with diabetes incidence: adjusted RH for more than 0 to 6 months, 0.75 (95% CI, 0.51-1.09); more than 6 months to less than 12 months, 0.52 (95% CI, 0.31-0.87), and 12 months or more 0.53 (0.29-0.98) vs none (0 days) (P for trend = .01). There was no evidence of effect modification by race, GD, or parity. Conclusions and Relevance This study provides longitudinal biochemical evidence that lactation duration is independently associated with lower incidence of diabetes. Further investigation is required to elucidate mechanisms that may explain this relationship.
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Affiliation(s)
| | - Cora E. Lewis
- Division of Preventive Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham
| | - Ying Lin
- Division of Research, Kaiser Permanente Northern California, Oakland
| | - Mike Sorel
- Division of Research, Kaiser Permanente Northern California, Oakland
| | - Myron Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis
| | - Stephen Sidney
- Division of Research, Kaiser Permanente Northern California, Oakland
| | - David R. Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis
| | - James M. Shikany
- Division of Preventive Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham
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29
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Cho S, Han E. Association of breastfeeding duration with dyslipidemia in women aged over 20 years: Korea National Health and Nutrition Examination Survey 2010-2014. J Clin Lipidol 2018; 12:437-446. [PMID: 29452892 DOI: 10.1016/j.jacl.2018.01.009] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2017] [Revised: 01/17/2018] [Accepted: 01/18/2018] [Indexed: 12/31/2022]
Abstract
BACKGROUND The prevalence of dyslipidemia, particularly hypercholesterolemia, has been reported to increase after pregnancy and menopause in Korea. This suggests the importance of the management of dyslipidemia in women for preventing cardiovascular diseases. OBJECTIVE This study aimed to examine the association of breastfeeding with 5 subtypes of dyslipidemia in Korean women aged over 20 years, by using the nationally representative Korea National Health and Nutrition Examination Survey 2010-2014. METHODS Ordinary least square regression and ordered logistic regression analyses were used to determine the association between breastfeeding duration and dyslipidemia. RESULTS The likelihood of having low-density lipoprotein cholesterol (LDL-C) disorder decreased by 16% in the group that breastfed for more than 24 months (odds ratio, 0.84; 95% confidence interval, 0.75-0.95) compared with the group that did not breastfeed. The likelihood of having non-high-density lipoprotein cholesterol (non-HDL-C) disorder was significantly reduced by 25% when the breastfeeding duration was more than 24 months (odds ratio, 0.75; 95% confidence interval, 0.64-0.87). The tendency toward developing disorders of total cholesterol (TC), LDL-C, and non-HDL-C decreased as the duration of breastfeeding increased, particularly among women aged 30-39 years. CONCLUSION Breastfeeding duration was negatively correlated with dyslipidemia in terms of TC, LDL-C, non-HDL-C, and triglycerides. Long-term breastfeeding was associated with the prevalence of dyslipidemia-TC, LDL-C, non-HDL-C, and TG disorders, in particular.
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Affiliation(s)
- Sunyoung Cho
- Department of Pharmaceutical Medicine and Regulatory Sciences, Colleges of Medicine and Pharmacy, Seoul, Republic of Korea; Department of Korean Medicine, Research Center of Korean Medicine, Colleges of Dongguk University, Kyungsangbukdo, Republic of Korea
| | - Euna Han
- Department of Pharmacy, College of Pharmacy, Yonsei Institute of Pharmaceutical Sciences, Yonsei University, Incheon, South Korea.
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30
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Yasuhi I, Soda T, Yamashita H, Urakawa A, Izumi M, Kugishima Y, Umezaki Y. The effect of high-intensity breastfeeding on postpartum glucose tolerance in women with recent gestational diabetes. Int Breastfeed J 2017; 12:32. [PMID: 28725256 PMCID: PMC5513345 DOI: 10.1186/s13006-017-0123-z] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2017] [Accepted: 07/03/2017] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Although breastfeeding is expected to reduce the incidence of diabetes in women with gestational diabetes, the effect has not been clearly confirmed. We examined whether or not high-intensity breastfeeding reduces the incidence of abnormal glucose tolerance and investigated the effect of high-intensity breastfeeding on insulin resistance during the first year postpartum in Japanese women with current gestational diabetes. METHODS In this retrospective study, we included women with gestational diabetes who underwent postpartum 75 g oral glucose tolerance test during the first year (12-14 months) postpartum from 2009 to 2011 at a single tertiary perinatal care center in Japan. High-intensity breastfeeding was defined as the condition in which infants were fed by breastfeeding alone or 80% or more of the volume. We investigated the effect of high-intensity breastfeeding on the prevalence of postpartum abnormal glucose tolerance and the postpartum homeostasis model of assessment of insulin resistance (HOMA-IR), after controlling for confounders, including prepregnancy obesity and weight changes during pregnancy and postpartum. RESULTS Among 88 women with gestational diabetes, 46 (52%) had abnormal glucose tolerance during the postpartum period. High-intensity breastfeeding women (n = 70) were significantly less likely to have abnormal glucose tolerance than non-high-intensity breastfeeding women (n = 18) (46% vs. 78%, p = 0.015). High-intensity breastfeeding was also associated with a lower HOMA-IR at 12-14 months postpartum than non-high-intensity breastfeeding (1.41 ± 1.02 vs. 2.28 ± 1.05, p = 0.035). Those associations remained significant after controlling for confounders. At least six months of high-intensity breastfeeding had a significant effect on lowering both the abnormal glucose tolerance prevalence and HOMA-IR compared with non-high-intensity breastfeeding. CONCLUSIONS In Japanese women with gestational diabetes, high-intensity breastfeeding ≥6 months had a protective effect against the development of abnormal glucose tolerance during the first year postpartum through improving insulin resistance, independent of obesity and postpartum weight change.
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Affiliation(s)
- Ichiro Yasuhi
- Department of Obstetrics and Gynecology, NHO Nagasaki Medical Center, 1001-1 2-chome Kubara, Omura City, Nagasaki 856-8562 Japan
| | - Tomoko Soda
- Department of Obstetrics and Gynecology, NHO Nagasaki Medical Center, 1001-1 2-chome Kubara, Omura City, Nagasaki 856-8562 Japan
| | - Hiroshi Yamashita
- Department of Obstetrics and Gynecology, NHO Nagasaki Medical Center, 1001-1 2-chome Kubara, Omura City, Nagasaki 856-8562 Japan
| | - Atsuko Urakawa
- Department of Obstetrics and Gynecology, NHO Nagasaki Medical Center, 1001-1 2-chome Kubara, Omura City, Nagasaki 856-8562 Japan
| | - Mihoko Izumi
- Department of Obstetrics and Gynecology, NHO Nagasaki Medical Center, 1001-1 2-chome Kubara, Omura City, Nagasaki 856-8562 Japan
| | - Yukari Kugishima
- Department of Obstetrics and Gynecology, NHO Nagasaki Medical Center, 1001-1 2-chome Kubara, Omura City, Nagasaki 856-8562 Japan
| | - Yasushi Umezaki
- Department of Obstetrics and Gynecology, NHO Nagasaki Medical Center, 1001-1 2-chome Kubara, Omura City, Nagasaki 856-8562 Japan
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31
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Choi SR, Kim YM, Cho MS, Kim SH, Shim YS. Association Between Duration of Breast Feeding and Metabolic Syndrome: The Korean National Health and Nutrition Examination Surveys. J Womens Health (Larchmt) 2017; 26:361-367. [DOI: 10.1089/jwh.2016.6036] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Affiliation(s)
- Se Rin Choi
- Department of Pediatrics, Hallym University, College of Medicine, Seoul, Korea
| | - Yong Min Kim
- Department of Pediatrics, Hallym University, College of Medicine, Seoul, Korea
| | - Min Su Cho
- Department of Pediatrics, Hallym University, College of Medicine, Seoul, Korea
| | - So Hyun Kim
- Department of Pediatrics, Hallym University, College of Medicine, Seoul, Korea
| | - Young Suk Shim
- Department of Pediatrics, Hallym University, College of Medicine, Seoul, Korea
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Bajaj H, Ye C, Hanley AJ, Connelly PW, Sermer M, Zinman B, Retnakaran R. Prior lactation reduces future diabetic risk through sustained postweaning effects on insulin sensitivity. Am J Physiol Endocrinol Metab 2017; 312:E215-E223. [PMID: 27965206 DOI: 10.1152/ajpendo.00403.2016] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2016] [Revised: 12/07/2016] [Accepted: 12/07/2016] [Indexed: 11/22/2022]
Abstract
Breastfeeding for ≥12 mo is recommended for optimal infant nutrition but may hold maternal benefits as well. Indeed, lactation has been associated with lower long-term risk of diabetes in the mother, but the mechanism by which it imparts sustained postweaning effects on glucose tolerance remains unclear. In this context, we postulated that lactation could potentially induce postweaning beneficial effects on glucose tolerance by modifying the natural history of insulin sensitivity and/or pancreatic β-cell function over time. Thus, in this study, we evaluated the relationships between duration of lactation [≤3 mo (n = 70), 3-12 mo (n = 140), and ≥12 mo (n = 120)] and trajectories of insulin sensitivity/resistance, β-cell function, and glycemia over the first 3 yr postpartum in a cohort of 330 women comprising the full spectrum of glucose tolerance in pregnancy, who underwent serial metabolic characterization, including oral glucose tolerance tests, at 3 mo, 1 yr, and 3 yr postpartum. The prevalence of dysglycemia (pre-diabetes/diabetes) at 3 yr postpartum was lower in women who breastfed for ≥12 mo (12.5%) than in those who breastfed for ≤3 mo (21.4%) or for 3-12 mo (25.7%)(overall P = 0.028). On logistic regression analysis, lactation for ≥12 mo independently predicted a lower likelihood of prediabetes/diabetes at 3 yr postpartum (OR = 0.37, 95% CI 0.18-0.78, P = 0.009). Notably, lactation for ≥12 mo predicted lesser worsening of insulin sensitivity/resistance (P < 0.0001), fasting glucose (P < 0.0001), and 2-h glucose (P = 0.011) over 3 yr compared with lactation ≤3 mo but no differences in β-cell function (P ≥ 0.37). It has thus emerged that adherence to current breastfeeding recommendations reduces future diabetic risk through sustained postweaning effects on insulin sensitivity/resistance but not β-cell function.
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Affiliation(s)
- Harpreet Bajaj
- Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Chang Ye
- Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Anthony J Hanley
- Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Ontario, Canada
- Department of Nutritional Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Philip W Connelly
- Division of Endocrinology, University of Toronto, Toronto, Ontario, Canada
- Keenan Research Centre for Biomedical Science of St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Mathew Sermer
- Division of Obstetrics and Gynecology, University of Toronto, Toronto, Ontario, Canada; and
| | - Bernard Zinman
- Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Ontario, Canada
- Division of Endocrinology, University of Toronto, Toronto, Ontario, Canada
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Ravi Retnakaran
- Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Ontario, Canada;
- Division of Endocrinology, University of Toronto, Toronto, Ontario, Canada
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
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Peters SA, van der Schouw YT, Wood AM, Sweeting MJ, Moons KG, Weiderpass E, Arriola L, Benetou V, Boeing H, Bonnet F, Butt ST, Clavel-Chapelon F, Drake I, Gavrila D, Key TJ, Klinaki E, Krogh V, Kühn T, Lassale C, Masala G, Matullo G, Merritt M, Molina-Portillo E, Moreno-Iribas C, Nøst TH, Olsen A, Onland-Moret NC, Overvad K, Panico S, Redondo ML, Tjønneland A, Trichopoulou A, Tumino R, Turzanski-Fortner R, Tzoulaki I, Wennberg P, Winkvist A, Thompson SG, Di Angelantonio E, Riboli E, Wareham NJ, Danesh J, Butterworth AS. Parity, breastfeeding and risk of coronary heart disease: A pan-European case-cohort study. Eur J Prev Cardiol 2016; 23:1755-1765. [PMID: 27378766 PMCID: PMC6217919 DOI: 10.1177/2047487316658571] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2016] [Accepted: 06/15/2016] [Indexed: 01/12/2023]
Abstract
OBJECTIVE There is uncertainty about the direction and magnitude of the associations between parity, breastfeeding and the risk of coronary heart disease (CHD). We examined the separate and combined associations of parity and breastfeeding practices with the incidence of CHD later in life among women in a large, pan-European cohort study. METHODS Data were used from European Prospective Investigation into Cancer and Nutrition (EPIC)-CVD, a case-cohort study nested within the EPIC prospective study of 520,000 participants from 10 countries. Information on reproductive history was available for 14,917 women, including 5138 incident cases of CHD. Using Prentice-weighted Cox regression separately for each country followed by a random-effects meta-analysis, we calculated hazard ratios (HRs) and 95% confidence intervals (CIs) for CHD, after adjustment for age, study centre and several socioeconomic and biological risk factors. RESULTS Compared with nulliparous women, the adjusted HR was 1.19 (95% CI: 1.01-1.41) among parous women; HRs were higher among women with more children (e.g., adjusted HR: 1.95 (95% CI: 1.19-3.20) for women with five or more children). Compared with women who did not breastfeed, the adjusted HR was 0.71 (95% CI: 0.52-0.98) among women who breastfed. For childbearing women who never breastfed, the adjusted HR was 1.58 (95% CI: 1.09-2.30) compared with nulliparous women, whereas for childbearing women who breastfed, the adjusted HR was 1.19 (95% CI: 0.99-1.43). CONCLUSION Having more children was associated with a higher risk of CHD later in life, whereas breastfeeding was associated with a lower CHD risk. Women who both had children and breastfed did have a non-significantly higher risk of CHD.
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Affiliation(s)
- Sanne Ae Peters
- The George Institute for Global Health, University of Oxford, Oxford, UK Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Angela M Wood
- Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK The National Institute for Health Research Blood and Transplant Unit (NIHR BTRU) in Donor Health and Genomics at the University of Cambridge, UK
| | - Michael J Sweeting
- Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Karel Gm Moons
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Elisabete Weiderpass
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden Genetic Epidemiology Group, Folkhälsan Research Center, Helsinki, Finland
| | - Larraitz Arriola
- Public Health Division of Gipuzkoa, Instituto Bio-Donostia, Basque Government, CIBERESP, Spain
| | - Vassiliki Benetou
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece Hellenic Health Foundation, Athens, Greece
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition (DIfE), Potsdam-Rehbrücke, Germany
| | - Fabrice Bonnet
- Centre Hospitalier Universitaire Rennes, University of Rennes, Villejuif, France
| | - Salma T Butt
- Department of Surgery, Clinical Sciences, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Françoise Clavel-Chapelon
- INSERM, Centre for Research in Epidemiology and Population Health (CESP), U1018, Nutrition, Hormones, and Women's Health Team, Institut Gustave Roussy, Villejuif, France
| | - Isabel Drake
- Department of Clinical Science, Lund University, Malmö, Sweden
| | - Diana Gavrila
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | - Timothy J Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, UK
| | | | - Vittorio Krogh
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Tilman Kühn
- German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Heidelberg, Germany
| | - Camille Lassale
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Giovanna Masala
- Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute - ISPO, Florence, Italy
| | - Giuseppe Matullo
- Human Genetics Foundation, Turin, Italy Department of Medical Sciences, University of Turin, Italy
| | - Melissa Merritt
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Elena Molina-Portillo
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain Escuela Andaluza de Salud Pública, Instituto de Investigación Biosanitaria ibs.GRANADA, Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain
| | - Conchi Moreno-Iribas
- Public Health Institute of Navarra, Pamplona, Spain Red de Investigación en Servicios de Salud en Enfermedades Crónicas, Madrid, Spain
| | - Therese H Nøst
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway
| | - Anja Olsen
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - N Charlotte Onland-Moret
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Kim Overvad
- Department of Public Health, Section for Epidemiology, Aarhus University, Aarhus, Denmark Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
| | - Salvatore Panico
- Dipartimento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy
| | | | - Anne Tjønneland
- Diet, Genes and Environment, Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Antonia Trichopoulou
- WHO Collaborating Center for Nutrition and Health, Unit of Nutritional Epidemiology and Nutrition in Public Health, Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece Hellenic Health Foundation, Athens, Greece
| | - Rosario Tumino
- Cancer Registry and Histopathology Unit, Civic - M.P. Arezzo Hospital, ASP Ragusa, Italy
| | | | - Ioanna Tzoulaki
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Patrik Wennberg
- Department of Public Health and Clinical Medicine, Family Medicine, Umeå University, Umeå, Sweden
| | - Anna Winkvist
- Nutritional Research, Umeå University, Umeå, Sweden Department of Internal Medicine and Clinical Nutrition, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Simon G Thompson
- Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK The National Institute for Health Research Blood and Transplant Unit (NIHR BTRU) in Donor Health and Genomics at the University of Cambridge, UK
| | - Emanuele Di Angelantonio
- Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Nicholas J Wareham
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - John Danesh
- Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK The National Institute for Health Research Blood and Transplant Unit (NIHR BTRU) in Donor Health and Genomics at the University of Cambridge, UK Wellcome Trust Sanger Institute, Genome Campus, Hinxton, UK
| | - Adam S Butterworth
- Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, UK The National Institute for Health Research Blood and Transplant Unit (NIHR BTRU) in Donor Health and Genomics at the University of Cambridge, UK
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34
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Onat A. Breastfeeding: A bystander marker of improvement in multiparity-induced cardiometabolic disease risk? Eur J Prev Cardiol 2016; 23:1751-1754. [PMID: 27540001 DOI: 10.1177/2047487316664814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Affiliation(s)
- Altan Onat
- Department of Cardiology, Cerrahpaşa Medical Faculty, Istanbul University, Turkey
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35
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Abstract
Researchers hypothesize that pregnancy and lactation are part of a continuum, with lactation meant to "reset" the adverse metabolic profile that develops as a part of normal pregnancy, and that when lactation does not occur, women maintain an elevated risk of cardio-metabolic diseases. Several large prospective and retrospective studies, mostly from the United States and other industrialized countries, have examined the associations between lactation and cardio-metabolic outcomes. Less evidence exists regarding an association of lactation with maternal postpartum weight status and dyslipidemia, whereas more evidence exists for an association with diabetes, hypertension, and subclinical and clinical cardiovascular disease.
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Affiliation(s)
- Cria G Perrine
- Division of Nutrition, Physical Activity, and Obesity, Centers for Disease Control and Prevention, Atlanta, Georgia 30341;
| | - Jennifer M Nelson
- Division of Nutrition, Physical Activity, and Obesity, Centers for Disease Control and Prevention, Atlanta, Georgia 30341;
| | - Jennifer Corbelli
- Division of General Internal Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania 15213
| | - Kelley S Scanlon
- Division of Nutrition, Physical Activity, and Obesity, Centers for Disease Control and Prevention, Atlanta, Georgia 30341;
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36
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Schmidt MI, Duncan BB, Castilhos C, Wendland EM, Hallal PC, Schaan BD, Drehmer M, Costa E Forti A, Façanha C, Nunes MA. Lifestyle INtervention for Diabetes prevention After pregnancy (LINDA-Brasil): study protocol for a multicenter randomized controlled trial. BMC Pregnancy Childbirth 2016; 16:68. [PMID: 27029489 PMCID: PMC4812654 DOI: 10.1186/s12884-016-0851-x] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2015] [Accepted: 03/17/2016] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Gestational diabetes mellitus (GDM), a hyperglycemic state detected during pregnancy, is an established risk factor for diabetes. However, treatment during pregnancy in and of itself is not able to eliminate this risk, and a considerable fraction of women with GDM will develop frank diabetes in the decade following pregnancy. Our aim is to conduct a multicenter randomized controlled trial to investigate the effectiveness of a lifestyle intervention program implemented after a pregnancy complicated by GDM in delaying or preventing the development of type 2 diabetes. METHODS Women aged 18 or older identified as having recent GDM are recruited and followed by telephone to assess eligibility for the trial. To be eligible, women must have used insulin during pregnancy or present intermediate hyperglycemia postpartum. Women are encouraged to enter the trial as early as 10 weeks, and are permitted to do so up to 2 years after a pregnancy with GDM. An estimated 740 women will be randomized to either conventional care or to coach-based interventions focused on breastfeeding, weight loss, healthy eating, and increased physical activity, and predominantly delivered by telephone. Women are followed annually to detect new onset diabetes, the primary outcome, and additional secondary outcomes which include reversion to normoglycemia, weight loss, physical activity and fitness, and insulin resistance. DISCUSSION Though previous studies have demonstrated that type 2 diabetes can be delayed or prevented, no study has yet demonstrated the feasibility and effectiveness of similar interventions implemented in the postpartum period for women with recent GDM. If shown to be successful, this approach could become an important means of preventing diabetes in primary care settings. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT02327286; Registered 23 December 2014.
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Affiliation(s)
- Maria Inês Schmidt
- Postgraduate Program in Epidemiology, School of Medicine, Federal University of Rio Grande do Sul, R. Ramiro Barcelos, 2600, Sala 414, Porto Alegre, RS, 90035-003, Brazil. .,Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil.
| | - Bruce B Duncan
- Postgraduate Program in Epidemiology, School of Medicine, Federal University of Rio Grande do Sul, R. Ramiro Barcelos, 2600, Sala 414, Porto Alegre, RS, 90035-003, Brazil.,Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
| | | | - Eliana Márcia Wendland
- Postgraduate Program in Epidemiology, School of Medicine, Federal University of Rio Grande do Sul, R. Ramiro Barcelos, 2600, Sala 414, Porto Alegre, RS, 90035-003, Brazil.,Department of Collective Health, Federal University of Health Sciences, Porto Alegre, RS, Brazil
| | - Pedro C Hallal
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, RS, Brazil
| | - Beatriz D'Agord Schaan
- Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil.,Postgraduate Studies Program in Endocrinology, School of Medicine, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Michele Drehmer
- Postgraduate Program in Epidemiology, School of Medicine, Federal University of Rio Grande do Sul, R. Ramiro Barcelos, 2600, Sala 414, Porto Alegre, RS, 90035-003, Brazil.,Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil
| | - Adriana Costa E Forti
- Department of Internal Medicine, School of Medicine, Federal University of Ceará, Fortaleza, Ceará, Brazil.,Integrated Center for Diabetes and Hypertension, Ceará State Health Department, Fortaleza, Ceará, Brazil
| | - Cristina Façanha
- Integrated Center for Diabetes and Hypertension, Ceará State Health Department, Fortaleza, Ceará, Brazil.,School of Medicine, Centro Universitário Unichristus, Fortaleza, Ceará, Brazil
| | - Maria Angélica Nunes
- Postgraduate Program in Epidemiology, School of Medicine, Federal University of Rio Grande do Sul, R. Ramiro Barcelos, 2600, Sala 414, Porto Alegre, RS, 90035-003, Brazil
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Abstract
OBJECTIVE The objective of this study was to determine whether a history of diabetes during pregnancy, as a marker of perinatal glucose intolerance, increases the odds of a diagnosis of low milk supply at a Breastfeeding Medicine Clinic (BMC). MATERIALS AND METHODS A case-control analysis was conducted of electronic medical records for BMC visits <90 days postpartum. Diabetes was defined as documentation of gestational, type 1, or type 2 diabetes. Cases were defined as those with a low milk supply diagnosis but without latch or nipple problems, and controls as those with latch or nipple problems but without low milk supply. A sensitivity analysis was then conducted by expanding cases to include all low milk supply diagnoses, and controls to include any diagnoses except low milk supply. Odds ratios (OR) and 95% confidence intervals (CI) for diabetes were calculated in cases versus controls, including adjustment for cesarean delivery, preterm birth, polycystic ovary syndrome, hypothyroidism, and infertility. RESULTS In the primary analysis, 14.9% of 175 cases versus 6.2% of 226 controls had a history of diabetes during pregnancy (OR 2.6 [95% CI 1.3-5.2]; adjusted OR 2.4 [95% CI 1.2-4.9]). In the sensitivity analysis, 14.9% of 249 cases versus 6.1% of 312 controls had diabetes in pregnancy (adjusted OR 2.4 [95% CI 1.4-4.3]). CONCLUSIONS Women diagnosed with low milk supply were significantly more likely to have had diabetes in pregnancy compared with women with latch or nipple problems and, more generally, compared with women with any other lactation difficulty. Further research is needed to elucidate how maternal glucose intolerance may impede lactation.
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Affiliation(s)
- Sarah W. Riddle
- Division of General and Community Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
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Nommsen-Rivers LA. Does Insulin Explain the Relation between Maternal Obesity and Poor Lactation Outcomes? An Overview of the Literature. Adv Nutr 2016; 7:407-14. [PMID: 26980825 PMCID: PMC4785481 DOI: 10.3945/an.115.011007] [Citation(s) in RCA: 79] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
It is well established that obese women are at increased risk of delayed lactogenesis and short breastfeeding duration, but the underlying causal contributors remain unclear. This review summarizes the literature examining the role of insulin in lactation outcomes. Maternal obesity is a strong risk factor for insulin resistance and prediabetes, but until recently a direct role for insulin in milk production had not been elucidated. Over the past 6 y, studies in both animal models and humans have shown insulin-sensitive gene expression to be dramatically upregulated specifically during the lactation cycle. Insulin is now considered to play a direct role in lactation, including essential roles in secretory differentiation, secretory activation, and mature milk production. At the same time, emerging clinical research suggests an important association between suboptimal glucose tolerance and lactation difficulty. To develop effective interventions to support lactation success in obese women further research is needed to identify how, when, and for whom maternal insulin secretion and sensitivity affect lactation ability.
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Affiliation(s)
- Laurie A Nommsen-Rivers
- Division of Neonatology/Center for Interdisciplinary Research in Human Milk and Lactation, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
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39
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Gunderson EP, Hurston SR, Ning X, Lo JC, Crites Y, Walton D, Dewey KG, Azevedo RA, Young S, Fox G, Elmasian CC, Salvador N, Lum M, Sternfeld B, Quesenberry CP. Lactation and Progression to Type 2 Diabetes Mellitus After Gestational Diabetes Mellitus: A Prospective Cohort Study. Ann Intern Med 2015; 163:889-98. [PMID: 26595611 PMCID: PMC5193135 DOI: 10.7326/m15-0807] [Citation(s) in RCA: 157] [Impact Index Per Article: 17.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Lactation improves glucose metabolism, but its role in preventing type 2 diabetes mellitus (DM) after gestational diabetes mellitus (GDM) remains uncertain. OBJECTIVE To evaluate lactation and the 2-year incidence of DM after GDM pregnancy. DESIGN Prospective, observational cohort of women with recent GDM. (ClinicalTrials.gov: NCT01967030). SETTING Integrated health care system. PARTICIPANTS 1035 women diagnosed with GDM who delivered singletons at 35 weeks' gestation or later and enrolled in the Study of Women, Infant Feeding and Type 2 Diabetes After GDM Pregnancy from 2008 to 2011. MEASUREMENTS Three in-person research examinations from 6 to 9 weeks after delivery (baseline) and annual follow-up for 2 years that included 2-hour, 75-g oral glucose tolerance testing; anthropometry; and interviews. Multivariable Weibull regression models evaluated independent associations of lactation measures with incident DM adjusted for potential confounders. RESULTS Of 1010 women without diabetes at baseline, 959 (95%) were evaluated up to 2 years later; 113 (11.8%) developed incident DM. There were graded inverse associations for lactation intensity at baseline with incident DM and adjusted hazard ratios of 0.64, 0.54, and 0.46 for mostly formula or mixed/inconsistent, mostly lactation, and exclusive lactation versus exclusive formula feeding, respectively (P trend = 0.016). Time-dependent lactation duration showed graded inverse associations with incident DM and adjusted hazard ratios of 0.55, 0.50, and 0.43 for greater than 2 to 5 months, greater than 5 to 10 months, and greater than 10 months, respectively, versus 0 to 2 months (P trend = 0.007). Weight change slightly attenuated hazard ratios. LIMITATION Randomized design is not feasible or desirable for clinical studies of lactation. CONCLUSION Higher lactation intensity and longer duration were independently associated with lower 2-year incidences of DM after GDM pregnancy. Lactation may prevent DM after GDM delivery. PRIMARY FUNDING SOURCE National Institute of Child Health and Human Development.
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Affiliation(s)
- Erica P. Gunderson
- From Kaiser Permanente Northern California and the Permanente Medical Group, Oakland, and University of California, Davis, Davis, California
| | - Shanta R. Hurston
- From Kaiser Permanente Northern California and the Permanente Medical Group, Oakland, and University of California, Davis, Davis, California
| | - Xian Ning
- From Kaiser Permanente Northern California and the Permanente Medical Group, Oakland, and University of California, Davis, Davis, California
| | - Joan C. Lo
- From Kaiser Permanente Northern California and the Permanente Medical Group, Oakland, and University of California, Davis, Davis, California
| | - Yvonne Crites
- From Kaiser Permanente Northern California and the Permanente Medical Group, Oakland, and University of California, Davis, Davis, California
| | - David Walton
- From Kaiser Permanente Northern California and the Permanente Medical Group, Oakland, and University of California, Davis, Davis, California
| | - Kathryn G. Dewey
- From Kaiser Permanente Northern California and the Permanente Medical Group, Oakland, and University of California, Davis, Davis, California
| | - Robert A. Azevedo
- From Kaiser Permanente Northern California and the Permanente Medical Group, Oakland, and University of California, Davis, Davis, California
| | - Stephen Young
- From Kaiser Permanente Northern California and the Permanente Medical Group, Oakland, and University of California, Davis, Davis, California
| | - Gary Fox
- From Kaiser Permanente Northern California and the Permanente Medical Group, Oakland, and University of California, Davis, Davis, California
| | - Cathie C. Elmasian
- From Kaiser Permanente Northern California and the Permanente Medical Group, Oakland, and University of California, Davis, Davis, California
| | - Nora Salvador
- From Kaiser Permanente Northern California and the Permanente Medical Group, Oakland, and University of California, Davis, Davis, California
| | - Michael Lum
- From Kaiser Permanente Northern California and the Permanente Medical Group, Oakland, and University of California, Davis, Davis, California
| | - Barbara Sternfeld
- From Kaiser Permanente Northern California and the Permanente Medical Group, Oakland, and University of California, Davis, Davis, California
| | - Charles P. Quesenberry
- From Kaiser Permanente Northern California and the Permanente Medical Group, Oakland, and University of California, Davis, Davis, California
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Stuebe A. Associations Among Lactation, Maternal Carbohydrate Metabolism, and Cardiovascular Health. Clin Obstet Gynecol 2015; 58:827-39. [PMID: 26457850 PMCID: PMC4968698 DOI: 10.1097/grf.0000000000000155] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
In mammalian reproductive physiology, lactation follows pregnancy; growing evidence suggests that disruption of this physiology affects a woman's lifetime risk of metabolic disease. These differences may reflect lactation-induced mobilization of fat stores and modulation of maternal stress reactivity. In addition, confounders may play a role: women who breastfeed for long durations are more likely to engage in other healthy behaviors, and obesity and insulin resistance may interfere with breastfeeding physiology. These findings underscore the importance of evidenced-based care to enable women to achieve their infant feeding goals.
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Affiliation(s)
- Alison Stuebe
- *Maternal-Fetal Medicine, University of North Carolina School of Medicine †Maternal and Child Health, Carolina Global Breastfeeding Institute, Gillings School of Global Public Health, Chapel Hill, North Carolina
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41
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Schwarz EB. Invited Commentary: Breastfeeding and Maternal Cardiovascular Health--Weighing the Evidence. Am J Epidemiol 2015; 181:940-3. [PMID: 25944888 DOI: 10.1093/aje/kwv029] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2014] [Accepted: 01/13/2015] [Indexed: 01/13/2023] Open
Abstract
Recently, there has been growing interest in understanding the ways in which lactation affects maternal health. The accompanying article by Palmer et al. (Am J Epidemiol. 2015;181(12):932-939), particularly their finding that prepregnancy obesity modifies the relationship between lactation and postpartum weight gain, makes an important contribution to this field. In this commentary, I discuss these findings within the context of other recent literature which indicates that whether or not a mother breastfeeds her newborn appears to be a powerful predictor of the mother's future risk of developing diabetes, hypertension, and cardiovascular disease, independent of maternal weight or body mass index in later life.
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Stuebe AM. Does breastfeeding prevent the metabolic syndrome, or does the metabolic syndrome prevent breastfeeding? Semin Perinatol 2015; 39:290-5. [PMID: 26187772 PMCID: PMC4516665 DOI: 10.1053/j.semperi.2015.05.008] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
In mammalian physiology, lactation follows pregnancy. Disruption of this physiology is associated with long-term adverse maternal health outcomes, including higher risks of later-life obesity, type 2 diabetes, metabolic syndrome, hypertension, and cardiovascular disease. Multiple mechanisms likely contribute to these associations, including the metabolic demands of breastfeeding, modulation of stress reactivity, and confounding by other health behaviors. At the same time, evidence suggests that maternal metabolic health entering pregnancy affects lactation performance. In this paradigm, adverse lactation outcomes may be a marker for underlying maternal disease risk. Understanding these relationships has important clinical and policy implications for women's health.
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Shen CJ, Wang SH, Lee CH, Chan TF. Breastfeeding effects on visfatin levels in postpartum women. Taiwan J Obstet Gynecol 2015; 54:217-20. [DOI: 10.1016/j.tjog.2013.06.019] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/04/2013] [Indexed: 02/07/2023] Open
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Zhang BZ, Zhang HY, Liu HH, Li HJ, Wang JS. Breastfeeding and maternal hypertension and diabetes: a population-based cross-sectional study. Breastfeed Med 2015; 10:163-7. [PMID: 25785993 PMCID: PMC4378660 DOI: 10.1089/bfm.2014.0116] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
OBJECTIVE This study aimed to assess the association of breastfeeding and maternal hypertension and diabetes in Beijing, China. SUBJECTS AND METHODS A cross-sectional study was conducted in four urban communities of Beijing, China, with 9,128 parous women 40-81 years of age who had had only one lifetime birth. Each participant completed a detailed survey and accepted blood pressure measurement and blood glucose testing. Moreover, self-reported hypertension and diabetes were confirmed by review of medical records. RESULTS After the analysis was adjusted for the potential confounders, including age, body mass index (BMI), waist to hip ratio (WHR), working status, educational level, drinking, smoking, family history of hypertension, age of menarche, menopause, oral contraceptive use, age of child-bearing, and postpartum BMI, the odd ratio (OR) of hypertension was 1.18 (95% confidence interval [CI], 1.05-1.32) for women who did not breastfeed, compared with women who did. In addition, the ORs for >0 to 6 months, >6 to 12 months, and >12 months of breastfeeding were 0.87 (95% CI, 0.76-0.99), 0.83 (95% CI, 0.68-1.00), and 0.79 (95% CI, 0.65-0.97), respectively, compared with women who did not breastfeed. With adjustment for age, WHR, working status, educational level, family history of diabetes, and postpartum BMI, women who did not breastfeed increased the risk of diabetes (OR=1.30; 95% CI, 1.11-1.53) compared with women who did. Moreover, women who breastfed for >0 to 6 months (OR=0.81; 95% CI, 0.67-0.98) and >6 to 12 months (OR=0.46; 95% CI, 0.26-0.84) had a lower risk of diabetes, compared with women who did not breastfeed. CONCLUSIONS Chinese mothers who did not breastfeed were more likely to develop hypertension and diabetes in later life.
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Affiliation(s)
- Bing-Zhen Zhang
- Institute of Chronic Disease, Peking University Shougang Hospital , Beijing, People's Republic of China
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45
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Armenta RF, Kritz-Silverstein D, Wingard D, Laughlin GA, Wooten W, Barrett-Connor E, Araneta MR. Association of breastfeeding with postmenopausal visceral adiposity among three racial/ethnic groups. Obesity (Silver Spring) 2015; 23:475-80. [PMID: 25522135 PMCID: PMC4310786 DOI: 10.1002/oby.20956] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2014] [Accepted: 10/10/2014] [Indexed: 11/22/2022]
Abstract
OBJECTIVE We examined the association between breastfeeding and postmenopausal visceral adiposity. METHODS Participants were community-dwelling women aged 55-80 from the Caucasian Rancho Bernardo Study, the Filipino Women's Health Study, and the Health Assessment Study of African-American Women who had visceral adipose tissue (VAT) measurements by computed tomography between 2000 and 2002. Linear regression was used to determine the association between average breastfeeding duration per child and VAT. RESULTS In Caucasian, Filipino, and African-American women, average number of live births was 3, 4, and 3; average breastfeeding duration was 4.3, 1.8, and 5.1 months, respectively. Filipino women had more live births, were more likely to breastfeed, and breastfed shorter durations. African-American women had lower VAT, despite higher subcutaneous adipose tissue (SAT), BMI, and waist girth. Women who breastfed >3 months on average had 8.8 cm(3) lower VAT than women who breastfed ≤3 months, independent of covariates. Women who initiated breastfeeding had lower BMI and waist girth than those who did not, but they did not differ by VAT unless they breastfed >3 months. Associations were independent of race/ethnicity. CONCLUSIONS Results suggest breastfeeding initiation is associated with reduced BMI and smaller waist girth, and breastfeeding >3 months is associated with lower postmenopausal VAT.
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Affiliation(s)
- Richard F. Armenta
- Graduate School of Public Health, San Diego State University
- Division of Epidemiology, Department of Family and Preventive Medicine, University of California, San Diego, La Jolla, CA
| | - Donna Kritz-Silverstein
- Division of Epidemiology, Department of Family and Preventive Medicine, University of California, San Diego, La Jolla, CA
| | - Deborah Wingard
- Division of Epidemiology, Department of Family and Preventive Medicine, University of California, San Diego, La Jolla, CA
| | - Gail A. Laughlin
- Division of Epidemiology, Department of Family and Preventive Medicine, University of California, San Diego, La Jolla, CA
| | - Wilma Wooten
- Division of Family Medicine, Department of Family and Preventive Medicine, University of California, San Diego, La Jolla, CA
| | - Elizabeth Barrett-Connor
- Division of Epidemiology, Department of Family and Preventive Medicine, University of California, San Diego, La Jolla, CA
| | - Maria Rosario Araneta
- Division of Epidemiology, Department of Family and Preventive Medicine, University of California, San Diego, La Jolla, CA
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Groer MW, Jevitt CM, Sahebzamani F, Beckstead JW, Keefe DL. Breastfeeding status and maternal cardiovascular variables across the postpartum. J Womens Health (Larchmt) 2014; 22:453-9. [PMID: 23659484 DOI: 10.1089/jwh.2012.3981] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND There have been recent reports that lactational history is associated with long-term women's health benefits. Most of these studies are epidemiological. If particular cardiometabolic changes that occur during lactation ultimately influence women's health later is unknown. METHODS Seventy-one healthy women participated in a prospective postpartum study that provided an opportunity to study anthropometric, endocrine, immune, and behavioral variables across time. Variables studied were heart rate (HR), systolic blood pressure (SBP), diastolic blood pressure (DBP), C-reactive protein, body mass index (BMI), perceived stress, and hormones. A cohort of women without a change in breastfeeding (N=22) or formula feeding (N=23) group membership for 5 months was used for analysis of effects of feeding status. The data were analyzed using factorial repeated measures analysis of variance and analysis of covariance. RESULTS SBP and HR declined across the postpartum and were significantly lower in breastfeeding compared to formula feeding mothers (p<0.05). These differences remained statistically significant when BMI was added to the model. Other covariates of income, stress, marital status, and ethnicity were not significantly associated with these variables over time. DBP was also lower, but the significance was reduced by the addition of BMI as a covariate. Stress also was lower in breastfeeders, but this effect was reduced by the addition of income as a covariate. CONCLUSIONS These data suggest that there are important physiological differences in women during months of breastfeeding. These may have roles in influencing or programming later risks for a number of midlife diseases.
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Affiliation(s)
- Maureen W Groer
- University of South Florida Colleges of Nursing and Medicine, Tampa, Florida 33612, USA.
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Abstract
The prevalence of diabetes in China has increased substantially over recent decades, with more than 100 million people estimated to be affected by the disease presently. During this period there has been an increase in the rates of obesity and a reduction in physical activity. Many of the changes in lifestyle and diet are a result of increased economic development and urbanisation. In addition to an increasingly westernised diet, the traditional Chinese diet also plays a part, with the quantity and quality of rice intake linked to the risk of type 2 diabetes. Familial factors including inherited genetic variants are important, although differences in the genetic architecture suggest a different combination of genetic variants could be most relevant in Chinese when compared with Europeans. Recent advances have also emphasised the role of early life factors in the epidemic of diabetes and non-communicable diseases: maternal undernutrition, maternal obesity, and gestational diabetes are all linked to increased risk of diabetes in offspring. A mismatch between developmentally programmed biology and the modern environment is relevant for countries like China where there has been rapid economic transformation. Multisectoral efforts to address the risks will be needed at different stages throughout the lifecourse to reduce the burden of diabetes.
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Affiliation(s)
- Ronald Ching Wan Ma
- Department of Medicine and Therapeutics, Hong Kong Institute of Diabetes and Obesity, and The Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China; International Diabetes Federation Centre of Education, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, China.
| | - Xu Lin
- Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences and Graduate University of the Chinese Academy of Sciences, Shanghai, China.
| | - Weiping Jia
- Department of Endocrinology and Metabolism, Shanghai Diabetes Institute, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China.
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Poole AT, Vincent KL, Olson GL, Patrikeev I, Saade GR, Stuebe A, Bytautiene E. Effect of lactation on maternal postpartum cardiac function and adiposity: a murine model. Am J Obstet Gynecol 2014; 211:424.e1-7. [PMID: 24905416 DOI: 10.1016/j.ajog.2014.06.004] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2014] [Revised: 04/16/2014] [Accepted: 06/02/2014] [Indexed: 12/17/2022]
Abstract
OBJECTIVE Lactation is associated with reduction in maternal metabolic disease and hypertension later in life; however, findings in humans may be confounded by socioeconomic factors. We sought to determine the independent contribution of lactation on cardiovascular parameters and adiposity in a murine model. STUDY DESIGN Following delivery, CD-1 female mice were randomly divided into 2 groups: lactated (L; nursed pups for 3 weeks, n = 10), and nonlactated (NL; pups were removed after birth, n = 12). Blood pressure (BP) was assessed prepregnancy and at 1 and 2 months' postpartum. Visceral and subcutaneous adipose tissue determined by computed tomography and left ventricular ejection fraction, cardiac output, and the E/A ratio determined by microultrasound were evaluated at 1 and 2 months' postpartum. The results were analyzed using a Student t test (significance at P < .05). RESULTS We observed a significantly different maternal BP at 2 months' postpartum with relatively greater BP in NL (systolic BP: NL, 122.2 ± 7.2 vs L, 96.8 ± 9.8 mm Hg; P = .04; diastolic BP: NL, 87.0 ± 6.8 vs L, 65.9 ± 6.2 mm Hg; P = .04). Visceral adipose tissue was significantly increased in NL mice at 1 (22.0 ± 4.1% vs 10.7 ± 1.8%, P = .04) and 2 months' postpartum (22.9 ± 3.5% vs 11.2 ± 2.2%, P = .02), whereas subcutaneous adipose tissue did not differ between the groups. At 2 months' postpartum, ejection fraction (51.8 ± 1.5% vs 60.5 ± 3.8%; P = .04), cardiac output (14.2 ± 1.0 vs 18.0 ± 1.3 mL/min; P = .02) and mitral valve E/A ratio (1.38 ± 0.06 vs 1.82 ± 0.13; P = .04) were significantly lower in NL mice than L mice. CONCLUSION Our data provide evidence that interruption of lactation adversely affects postpartum maternal cardiovascular function and adiposity.
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Jäger S, Jacobs S, Kröger J, Fritsche A, Schienkiewitz A, Rubin D, Boeing H, Schulze MB. Breast-feeding and maternal risk of type 2 diabetes: a prospective study and meta-analysis. Diabetologia 2014; 57:1355-65. [PMID: 24789344 PMCID: PMC4052010 DOI: 10.1007/s00125-014-3247-3] [Citation(s) in RCA: 75] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2014] [Accepted: 04/04/2014] [Indexed: 11/24/2022]
Abstract
AIMS/HYPOTHESIS We aimed to examine the association between breast-feeding and maternal risk of type 2 diabetes and to investigate whether this association is mediated by anthropometric and biochemical factors. METHODS A case-cohort study nested within the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam Study between 1994 and 2005 including 1,262 childbearing women (1,059 in a random sub-cohort and 203 incident cases) mainly aged between 35 and 64 years at baseline was applied. Self-reported lifetime duration of breast-feeding was assessed by questionnaire. Blood samples were used for biomarker measurement (HDL-cholesterol, triacylglycerols, C-reactive protein, fetuin-A, γ-glutamyltransferase, adiponectin). A systematic literature search and meta-analysis was conducted of prospective cohort studies investigating breast-feeding and risk of type 2 diabetes. RESULTS The HR for each additional 6 months of breast-feeding was 0.73 (95% CI 0.56, 0.94) in EPIC-Potsdam. Meta-analysis of three previous prospective studies and the current study revealed an inverse association between breast-feeding duration and risk of diabetes (pooled HR for lifetime breast-feeding duration of 6-11 months compared with no breast-feeding 0.89; 95% CI 0.82, 0.97). Adjustment for BMI and waist circumference attenuated the association (HR per six additional months in EPIC-Potsdam 0.80; 95% CI 0.61, 1.04). Further controlling for potentially mediating biomarkers largely explained this association (HR 0.89; 95% CI 0.68, 1.16). CONCLUSIONS/INTERPRETATION Longer duration of breast-feeding may be related to a lower risk of diabetes. This potentially protective effect seems to be reflected by a more favourable metabolic profile; however, the role of body weight as a mediator or confounder remains uncertain.
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Affiliation(s)
- Susanne Jäger
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Arthur-Scheunert-Allee 114-116, 14558 Nuthetal, Germany
- German Center for Diabetes Research (DZD), Germany, http://www.dzd-ev.de/en
| | - Simone Jacobs
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Arthur-Scheunert-Allee 114-116, 14558 Nuthetal, Germany
- German Center for Diabetes Research (DZD), Germany, http://www.dzd-ev.de/en
| | - Janine Kröger
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Arthur-Scheunert-Allee 114-116, 14558 Nuthetal, Germany
- German Center for Diabetes Research (DZD), Germany, http://www.dzd-ev.de/en
| | - Andreas Fritsche
- German Center for Diabetes Research (DZD), Germany, http://www.dzd-ev.de/en
- Department of Internal Medicine, Division of Endocrinology, Diabetology, Nephrology, Vascular Disease and Clinical Chemistry, University Hospital Tübingen, Tübingen, Germany
| | - Anja Schienkiewitz
- Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
| | - Diana Rubin
- Lipid Clinic at the Interdisciplinary Metabolism Center, Charité University Medicine Berlin, Virchow Clinic Campus, Berlin, Germany
| | - Heiner Boeing
- Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Matthias B. Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Arthur-Scheunert-Allee 114-116, 14558 Nuthetal, Germany
- German Center for Diabetes Research (DZD), Germany, http://www.dzd-ev.de/en
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50
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Abstract
Lactating compared with nonlactating women display more favorable metabolic parameters, including less atherogenic blood lipids, lower fasting and postprandial blood glucose as well as insulin, and greater insulin sensitivity in the first 4 months postpartum. However, direct evidence demonstrating that these metabolic changes persist from delivery to postweaning is much less available. Studies have reported that longer lactation duration may reduce long-term risk of cardiometabolic disease, including type 2 diabetes, but findings from most studies are limited by self-report of disease outcomes, absence of longitudinal biochemical data, or no assessment of maternal lifestyle behaviors. Studies of women with a history gestational diabetes mellitus (GDM) also reported associations between lactation duration and lower the incidence of type 2 diabetes and the metabolic syndrome. The mechanisms are not understood, but hormonal regulation of pancreatic β-cell proliferation and function or other metabolic pathways may mediate the lactation association with cardiometabolic disease in women.
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Affiliation(s)
- Erica P Gunderson
- Division of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA, 94612, USA,
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