1
|
Cao L, Wen Y, Fan K, Wang Q, Zhang Y, Li Z, Wang N, Zhang X. Association of birth weight with type 2 diabetes mellitus and the mediating role of fatty acids traits: a two-step mendelian randomization study. Lipids Health Dis 2024; 23:97. [PMID: 38566047 PMCID: PMC10986016 DOI: 10.1186/s12944-024-02087-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] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Accepted: 03/22/2024] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND Observational studies have suggested an association between birth weight and type 2 diabetes mellitus, but the causality between them has not been established. We aimed to obtain the causal relationship between birth weight with T2DM and quantify the mediating effects of potential modifiable risk factors. METHODS Two-step, two-sample Mendelian randomization (MR) techniques were applied using SNPs as genetic instruments for exposure and mediators. Summary data from genome-wide association studies (GWAS) for birth weight, T2DM, and a series of fatty acids traits and their ratios were leveraged. The inverse variance weighted (IVW) method was the main analysis approach. In addition, the heterogeneity test, horizontal pleiotropy test, Mendelian randomization pleiotropy residual sum and outlier (MR-PRESSO) test, and leave-one-out analysis were carried out to assess the robustness. RESULTS The IVW method showed that lower birth weight raised the risk of T2DM (β: -1.113, 95% CI: -1.573 ∼ -0.652). Two-step MR identified 4 of 17 candidate mediators partially mediating the effect of lower birth weight on T2DM, including ratio of polyunsaturated fatty acids to monounsaturated fatty acids (proportion mediated: 7.9%), ratio of polyunsaturated fatty acids to total fatty acids (7.2%), ratio of omega-6 fatty acids to total fatty acids (8.1%) and ratio of linoleic acid to total fatty acids ratio (6.0%). CONCLUSIONS Our findings supported a potentially causal effect of birth weight against T2DM with considerable mediation by modifiable risk factors. Interventions that target these factors have the potential to reduce the burden of T2DM attributable to low birth weight.
Collapse
Affiliation(s)
- Limin Cao
- Shanxi Children's Hospital (Shanxi Maternal and Child Health Hospital), Xinmin North Street No.13, Taiyuan, Shanxi, China
| | - Yahui Wen
- Shanxi Children's Hospital (Shanxi Maternal and Child Health Hospital), Xinmin North Street No.13, Taiyuan, Shanxi, China
| | - Keyi Fan
- Shanxi Medical University, Taiyuan, China
| | - Qiwei Wang
- Shanxi Medical University, Taiyuan, China
| | | | - Zhenglong Li
- Shanxi Children's Hospital (Shanxi Maternal and Child Health Hospital), Xinmin North Street No.13, Taiyuan, Shanxi, China
| | - Nan Wang
- Shanxi Medical University, Taiyuan, China
| | - Xinhua Zhang
- Shanxi Children's Hospital (Shanxi Maternal and Child Health Hospital), Xinmin North Street No.13, Taiyuan, Shanxi, China.
| |
Collapse
|
2
|
Jung YM, Wi W, Cho KD, Hong SJ, Kim HY, Ahn KH, Hong SC, Kim HJ, Oh MJ, Cho GJ. The Risk of Hypertension and Diabetes Mellitus According to Offspring's Birthweight in Women With Normal Body Mass Index: A Nationwide Population-Based Study. J Korean Med Sci 2024; 39:e50. [PMID: 38317450 PMCID: PMC10843973 DOI: 10.3346/jkms.2024.39.e50] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Accepted: 11/27/2023] [Indexed: 02/07/2024] Open
Abstract
BACKGROUND Maladaptation to vascular, metabolic, and physiological changes during pregnancy can lead to fetal growth disorders. Moreover, adverse outcomes during pregnancy can further increase the risk of cardiovascular and metabolic diseases in mothers. Delivering a large-for-gestational-age (LGA) baby may indicate a pre-existing metabolic dysfunction, whereas delivering a small-for-gestational-age (SGA) baby may indicate a pre-existing vascular dysfunction. This study aims to assess the risk of hypertension (HTN) and diabetes mellitus (DM) in women with normal body mass index (BMI) scores who did not experience gestational DM or hypertensive disorders during pregnancy based on the offspring's birthweight. METHODS This retrospective nationwide study included women with normal BMI scores who delivered a singleton baby after 37 weeks. Women with a history of DM or HTN before pregnancy and those with gestational DM or hypertensive disorders, were excluded from the study. We compared the risk of future maternal outcomes (HTN and DM) according to the offspring's birthweight. Multivariate analyses were performed to estimate the hazard ratio (HR) for the future risk of HTN or DM. RESULTS A total of 64,037 women were included in the analysis. Of these, women who delivered very LGA babies (birthweight > 97th percentile) were at a higher risk of developing DM than those who delivered appropriate-for-gestational-age (AGA) babies (adjusted HR = 1.358 [1.068-1.727]), and women who delivered very SGA babies (birthweight < 3rd percentile) were at a higher risk of developing HTN than those who delivered AGA babies (adjusted HR = 1.431 [1.181-1.734]), even after adjusting for age, parity, gestational age at delivery, fetal sex, maternal BMI score, and a history of smoking. CONCLUSION These findings provide a novel support for the use of the offspring's birthweight as a predictor of future maternal diseases such as HTN and DM.
Collapse
Affiliation(s)
- Young Mi Jung
- Department of Obstetrics and Gynecology, Korea University College of Medicine, Seoul, Korea
| | - Wonyoung Wi
- Department of Obstetrics and Gynecology, Korea University College of Medicine, Seoul, Korea
| | - Kyu-Dong Cho
- Big Data Department, National Health Insurance Service, Wonju, Korea
| | - Su Jung Hong
- Department of Obstetrics and Gynecology, Korea University College of Medicine, Seoul, Korea
| | - Ho Yeon Kim
- Department of Obstetrics and Gynecology, Korea University College of Medicine, Seoul, Korea
| | - Ki Hoon Ahn
- Department of Obstetrics and Gynecology, Korea University College of Medicine, Seoul, Korea
| | - Soon-Cheol Hong
- Department of Obstetrics and Gynecology, Korea University College of Medicine, Seoul, Korea
| | - Hai-Joong Kim
- Department of Obstetrics and Gynecology, Korea University College of Medicine, Seoul, Korea
| | - Min-Jeong Oh
- Department of Obstetrics and Gynecology, Korea University College of Medicine, Seoul, Korea
| | - Geum Joon Cho
- Department of Obstetrics and Gynecology, Korea University College of Medicine, Seoul, Korea.
| |
Collapse
|
3
|
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.
Collapse
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.
| |
Collapse
|
4
|
Pacyga DC, Haggerty DK, Gennings C, Schantz SL, Strakovsky RS. Interrogating Components of 2 Diet Quality Indices in Pregnancy using a Supervised Statistical Mixtures Approach. Am J Clin Nutr 2023; 118:290-302. [PMID: 37201722 PMCID: PMC10375457 DOI: 10.1016/j.ajcnut.2023.05.020] [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: 11/03/2022] [Revised: 04/14/2023] [Accepted: 05/15/2023] [Indexed: 05/20/2023] Open
Abstract
BACKGROUND The Healthy Eating Index (HEI)-2015 and Alternative Healthy Eating Index (AHEI)-2010 evaluate diet holistically in pregnancy. However, it remains unclear how individual index components interact to contribute to health. OBJECTIVES To evaluate associations of HEI-2015 and AHEI-2010 components with gestational length using traditional and novel statistical methods in a prospective cohort. METHODS Pregnant women completed a 3-mo food-frequency questionnaire (FFQ) at median 13 wk gestation to calculate the HEI-2015 or AHEI-2010. Covariate-adjusted linear regression models evaluated associations of HEI-2015 and AHEI-2010 total scores and individual components (one at a time and simultaneously adjusted) with gestational length. Covariate-adjusted weighted quantile sum regression models evaluated 1) associations of HEI-2015 or AHEI-2010 components as mixtures with gestational length and 2) contributions of components to these associations. RESULTS Each 10-point increase in HEI-2015 and AHEI-2010 total score was associated with 0.11 (95% CI: -0.05, 0.27) and 0.14 (95% CI: 0.00, 0.28) wk longer gestation, respectively. In individual or simultaneously adjusted HEI-2015 models, higher intakes of seafood/plant proteins, total protein foods, greens/beans, and saturated fats but lower intakes of added sugars and refined grains were associated with longer gestational length. For the AHEI-2010, higher intake of nuts/legumes and lower intake of sugar-sweetened beverages (SSBs)/fruit juice were associated with longer gestational length. Jointly, 10% increases in HEI-2015 or AHEI-2010 mixtures were associated with 0.17 (95% CI: 0.001, 0.34) and 0.18 (95% CI: 0.05, 0.30) wk longer gestational length, respectively. Seafood/plant protein, total protein foods, dairy, greens/beans, and added sugars were the largest contributors to the HEI-2015 mixture. Nuts/legumes, SSBs/fruit juice, sodium, and DHA/EPA were the largest contributors to the AHEI-2010 mixture. Associations were less precise but consistent in women with spontaneous labors. CONCLUSIONS Compared to traditional methods, associations of diet index mixtures with gestational length were more robust and identified unique contributors. Additional studies could consider interrogating these statistical approaches using other dietary indices and health outcomes.
Collapse
Affiliation(s)
- Diana C Pacyga
- Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI, USA; Institute for Integrative Toxicology, Michigan State University, East Lansing, MI, USA
| | - Diana K Haggerty
- Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI, USA
| | - Chris Gennings
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Susan L Schantz
- The Department of Comparative Biosciences, University of Illinois, Urbana-Champaign, IL, USA; The Beckman Institute, University of Illinois, Urbana-Champaign, IL, USA
| | - Rita S Strakovsky
- Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI, USA; Institute for Integrative Toxicology, Michigan State University, East Lansing, MI, USA.
| |
Collapse
|
5
|
Hinkle SN, Schisterman EF, Liu D, Pollack AZ, Yeung EH, Mumford SL, Grantz KL, Qiao Y, Perkins NJ, Mills JL, Mendola P, Zhang C. Pregnancy Complications and Long-Term Mortality in a Diverse Cohort. Circulation 2023; 147:1014-1025. [PMID: 36883452 PMCID: PMC10576862 DOI: 10.1161/circulationaha.122.062177] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Accepted: 02/01/2023] [Indexed: 03/09/2023]
Abstract
BACKGROUND Pregnancy complications are associated with increased risk of development of cardiometabolic diseases and earlier mortality. However, much of the previous research has been limited to White pregnant participants. We aimed to investigate pregnancy complications in association with total and cause-specific mortality in a racially diverse cohort and evaluate whether associations differ between Black and White pregnant participants. METHODS The Collaborative Perinatal Project was a prospective cohort study of 48 197 pregnant participants at 12 US clinical centers (1959-1966). The Collaborative Perinatal Project Mortality Linkage Study ascertained participants' vital status through 2016 with linkage to the National Death Index and Social Security Death Master File. Adjusted hazard ratios (aHRs) for underlying all-cause and cause-specific mortality were estimated for preterm delivery (PTD), hypertensive disorders of pregnancy, and gestational diabetes/impaired glucose tolerance (GDM/IGT) using Cox models adjusted for age, prepregnancy body mass index, smoking, race and ethnicity, previous pregnancies, marital status, income, education, previous medical conditions, site, and year. RESULTS Among 46 551 participants, 45% (21 107 of 46 551) were Black, and 46% (21 502 of 46 551) were White. The median time between the index pregnancy and death/censoring was 52 years (interquartile range, 45-54). Mortality was higher among Black (8714 of 21 107 [41%]) compared with White (8019 of 21 502 [37%]) participants. Overall, 15% (6753 of 43 969) of participants had PTD, 5% (2155 of 45 897) had hypertensive disorders of pregnancy, and 1% (540 of 45 890) had GDM/IGT. PTD incidence was higher in Black (4145 of 20 288 [20%]) compared with White (1941 of 19 963 [10%]) participants. The following were associated with all-cause mortality: preterm spontaneous labor (aHR, 1.07 [95% CI, 1.03-1.1]); preterm premature rupture of membranes (aHR, 1.23 [1.05-1.44]); preterm induced labor (aHR, 1.31 [1.03-1.66]); preterm prelabor cesarean delivery (aHR, 2.09 [1.75-2.48]) compared with full-term delivery; gestational hypertension (aHR, 1.09 [0.97-1.22]); preeclampsia or eclampsia (aHR, 1.14 [0.99-1.32]) and superimposed preeclampsia or eclampsia (aHR, 1.32 [1.20-1.46]) compared with normotensive; and GDM/IGT (aHR, 1.14 [1.00-1.30]) compared with normoglycemic. P values for effect modification between Black and White participants for PTD, hypertensive disorders of pregnancy, and GDM/IGT were 0.009, 0.05, and 0.92, respectively. Preterm induced labor was associated with greater mortality risk among Black (aHR, 1.64 [1.10-2.46]) compared with White (aHR, 1.29 [0.97-1.73]) participants, while preterm prelabor cesarean delivery was higher in White (aHR, 2.34 [1.90-2.90]) compared with Black (aHR, 1.40 [1.00-1.96]) participants. CONCLUSIONS In this large, diverse US cohort, pregnancy complications were associated with higher mortality nearly 50 years later. Higher incidence of some complications in Black individuals and differential associations with mortality risk suggest that disparities in pregnancy health may have life-long implications for earlier mortality.
Collapse
Affiliation(s)
- Stefanie N Hinkle
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia (S.N.H., E.F.S., S.L.M)
| | - Enrique F Schisterman
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia (S.N.H., E.F.S., S.L.M)
| | - Danping Liu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute (D.L.), Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD
| | - Anna Z Pollack
- Global and Community Health Department, College of Health and Human Services, George Mason University, Fairfax, VA (A.Z.P.)
| | - Edwina H Yeung
- Division of Population Health Research, Division of Intramural Research (E.H.Y., K.L.G., N.J.P., J.L.M.), Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD
| | - Sunni L Mumford
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia (S.N.H., E.F.S., S.L.M)
| | - Katherine L Grantz
- Division of Population Health Research, Division of Intramural Research (E.H.Y., K.L.G., N.J.P., J.L.M.), Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD
| | - Yan Qiao
- The Prospective Group, Rockville, MD (Y.Q.)
| | - Neil J Perkins
- Division of Population Health Research, Division of Intramural Research (E.H.Y., K.L.G., N.J.P., J.L.M.), Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD
| | - James L Mills
- Division of Population Health Research, Division of Intramural Research (E.H.Y., K.L.G., N.J.P., J.L.M.), Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD
| | - Pauline Mendola
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, NY (P.M.)
| | - Cuilin Zhang
- Global Centre for Asian Women's Health, Human Potential Translational Research Program; Department of Obstetrics and Gynecology; and National University of Singapore Bia-Echo Asia Centre for Reproductive Longevity and Equality, Yong Loo Lin School of Medicine, National University of Singapore, Singapore (C.Z.)
| |
Collapse
|
6
|
Nham T, Read SH, Giannakeas V, Berger H, Feig DS, Fleming K, Ray JG, Rosella L, Shah BR, Lipscombe LL. The association between offspring birthweight and future risk of maternal diabetes: A population-based study. Diabet Med 2023; 40:e14991. [PMID: 36281547 DOI: 10.1111/dme.14991] [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: 05/06/2022] [Accepted: 10/14/2022] [Indexed: 01/17/2023]
Abstract
AIMS As an indicator of maternal cardiometabolic health, newborn birthweight may be an important predictor of maternal type 2 diabetes mellitus (diabetes). We evaluated the relation between offspring birthweight and onset of maternal diabetes after pregnancy. METHODS This retrospective cohort study used linked population-based health databases from Ontario, Canada. We included women aged 16-50 years without pre-pregnancy diabetes, and who had a live birth between 2006 and 2014. We used Cox proportional hazard regression to evaluate the association between age- and sex-standardized offspring birthweight percentile categories and incident maternal diabetes, while adjusting for maternal age, parity, year, ethnicity, gestational diabetes (GDM) and hypertensive disorders of pregnancy (HDP). Results were further stratified by the presence of GDM in the index pregnancy. RESULTS Of 893,777 eligible participants, 14,329 (1.6%) women were diagnosed with diabetes over a median (IQR) of 4.4 (1.5-7.4) years of follow-up. There was a continuous positive relation between newborn birthweight above the 75th percentile and maternal diabetes. Relative to a birthweight between the 50th and 74.9th percentiles, women whose newborn had a birthweight between the 97th and 100th percentiles had an adjusted hazards ratio (aHR) of diabetes of 2.30 (95% CI 2.16-2.46), including an aHR of 2.01 (95% CI 1.83-2.21) among those with GDM, and 2.59 (2.36-2.84) in those without GDM. CONCLUSIONS A higher offspring birthweight signals an increased risk of maternal diabetes, offering another potentially useful way to identify women especially predisposed to diabetes.
Collapse
Affiliation(s)
- Tina Nham
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Stephanie H Read
- Women's College Research Institute, Women's College Hospital, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
| | - Vasily Giannakeas
- Women's College Research Institute, Women's College Hospital, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
| | - Howard Berger
- Department of Obstetrics and Gynecology, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Denice S Feig
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
- Sinai Health System, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Karen Fleming
- Department of Family and Community Medicine, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Joel G Ray
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
- Department of Obstetrics and Gynecology, St. Michael's Hospital, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Laura Rosella
- ICES, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Baiju R Shah
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Lorraine L Lipscombe
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Women's College Research Institute, Women's College Hospital, Toronto, Ontario, Canada
- ICES, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| |
Collapse
|
7
|
Sánchez-Soriano C, Pearson ER, Reynolds RM. Associations between parental type 2 diabetes risk and offspring birthweight and placental weight: a survival analysis using the Walker cohort. Diabetologia 2022; 65:2084-2097. [PMID: 35951032 PMCID: PMC9630220 DOI: 10.1007/s00125-022-05776-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 06/22/2022] [Indexed: 01/11/2023]
Abstract
AIMS/HYPOTHESIS Low birthweight (BW) is associated with the development of type 2 diabetes. Genome-wide analyses have identified a strong genetic component to this association, with many BW-associated loci also involved in glucose metabolism. We hypothesised that offspring BW and placental weight (PW) are correlated with parental type 2 diabetes risk, reflecting the inheritance of diabetes risk alleles that also influence fetal growth. METHODS The Walker cohort, a collection of birth records from Dundee, Scotland, from the 1950s and the 1960s was used to test this hypothesis by linking BW and PW measurements to parental health outcomes. Using data from SCI-Diabetes and the national death registry, we obtained health records for over 20,000 Walker parents. We performed Fine-Gray survival analyses of parental type 2 diabetes risk with competing risk of death, and Cox regression analyses of risk of death, independently in the maternal and paternal datasets, modelled by offspring BW and PW. RESULTS We found significant associations between increased paternal type 2 diabetes risk and reduced offspring BW (subdistribution hazard ratio [SHR] 0.92 [95% CI 0.87, 0.98]) and PW (SHR 0.87 [95% CI 0.81, 0.94]). The association of maternal type 2 diabetes risk with offspring BW or PW was not significant. Lower offspring BW was also associated with increased risk of death in both mothers (HR 0.91 [95% CI 0.89, 0.94]) and fathers (HR 0.95 [95% CI 0.92, 0.98]), and higher offspring PW was associated with increased maternal mortality risk (HR 1.08 [95% CI 1.04, 1.13]) when adjusted for BW. CONCLUSIONS/INTERPRETATION We identified associations between offspring BW and reduced paternal type 2 diabetes risk, most likely resulting from the independent effects of common type 2 diabetes susceptibility alleles on fetal growth, as described by the fetal insulin hypothesis. Moreover, we identified novel associations between offspring PW and reduced paternal type 2 diabetes risk, a relationship that might also be caused by the inheritance of diabetes predisposition variants. We found differing associations between offspring BW and PW and parental risk of death. These results provide novel epidemiological support for the use of offspring BW and PW as predictors for future risk of type 2 diabetes and death in mothers and fathers.
Collapse
Affiliation(s)
- Carlos Sánchez-Soriano
- Centre for Cardiovascular Science, Deanery of Molecular, Genetic and Population Health Sciences, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Ewan R Pearson
- Division of Population Health and Genomics, Ninewells Hospital and School of Medicine, University of Dundee, Dundee, UK
| | - Rebecca M Reynolds
- Centre for Cardiovascular Science, Deanery of Molecular, Genetic and Population Health Sciences, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK.
| |
Collapse
|
8
|
Jing G, Huwei S, Chao C, Lei C, Ping W, Zhongzhou X, Sen Y, Jiayuan C, Ruiyao C, Lu L, Shuqing L, Kaixiang Y, Jie X, Weiwei C. A predictive model of macrosomic birth based upon real-world clinical data from pregnant women. BMC Pregnancy Childbirth 2022; 22:651. [PMID: 35982421 PMCID: PMC9386989 DOI: 10.1186/s12884-022-04981-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 08/08/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Fetal macrosomia is associated with an increased risk of several maternal and newborn complications. Antenatal predication of fetal macrosomia remains challenging. We aimed to develop a nomogram model for the prediction of macrosomia using real-world clinical data to improve the sensitivity and specificity of macrosomia prediction. METHODS In the present study, we performed a retrospective, observational study based on 13,403 medical records of pregnant women who delivered singleton infants at a tertiary hospital in Shanghai from 1 January 2018 through 31 December 2019. We split the original dataset into a training set (n = 9382) and a validation set (n = 4021) at a 7:3 ratio to generate and validate our model. The candidate variables, including maternal characteristics, laboratory tests, and sonographic parameters were compared between the two groups. A univariate and multivariate logistic regression was carried out to explore the independent risk factors for macrosomia in pregnant women. Thus, the regression model was adopted to establish a nomogram to predict the risk of macrosomia. Nomogram performance was determined by discrimination and calibration metrics. All the statistical analysis was analyzed using R software. RESULTS We compared the differences between the macrosomic and non-macrosomic groups within the training set and found 16 independent risk factors for macrosomia (P < 0.05), including biparietal diameter (BPD), head circumference (HC), femur length (FL), amniotic fluid index (AFI) at the last prenatal examination, pre-pregnancy body mass index (BMI), and triglycerides (TG). Values for the areas under the curve (AUC) for the nomogram model were 0.917 (95% CI, 0.908-0.927) and 0.910 (95% CI, 0.894-0.927) in the training set and validation set, respectively. The internal and external validation of the nomogram demonstrated favorable calibration as well as discriminatory capability of the model. CONCLUSIONS Our model has precise discrimination and calibration capabilities, which can help clinical healthcare staff accurately predict macrosomia in pregnant women.
Collapse
Affiliation(s)
- Gao Jing
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, No. 910 Hengshan Road, Shanghai, 200030, China.,Shanghai Key Laboratory of Embryo Original Disease, Shanghai, 200040, China.,Shanghai Municipal Key Clinical Specialty, Shanghai, 200030, China
| | - Shi Huwei
- Shanghai Artificial Intelligence Laboratory, Shanghai, 200030, China
| | - Chen Chao
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, No. 910 Hengshan Road, Shanghai, 200030, China.,Shanghai Key Laboratory of Embryo Original Disease, Shanghai, 200040, China.,Shanghai Municipal Key Clinical Specialty, Shanghai, 200030, China
| | - Chen Lei
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, No. 910 Hengshan Road, Shanghai, 200030, China
| | - Wang Ping
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, No. 910 Hengshan Road, Shanghai, 200030, China
| | - Xiao Zhongzhou
- Shanghai Artificial Intelligence Laboratory, Shanghai, 200030, China
| | - Yang Sen
- Shanghai Artificial Intelligence Laboratory, Shanghai, 200030, China
| | - Chen Jiayuan
- Shanghai Artificial Intelligence Laboratory, Shanghai, 200030, China
| | - Chen Ruiyao
- Shanghai Artificial Intelligence Laboratory, Shanghai, 200030, China
| | - Lu Lu
- Shanghai Artificial Intelligence Laboratory, Shanghai, 200030, China
| | - Luo Shuqing
- Shanghai Artificial Intelligence Laboratory, Shanghai, 200030, China
| | - Yang Kaixiang
- The Second Affiliated Hospital of Nanjing Medical University, Nanjing, 210003, Jiangsu, China
| | - Xu Jie
- Shanghai Artificial Intelligence Laboratory, Shanghai, 200030, China.
| | - Cheng Weiwei
- International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, No. 910 Hengshan Road, Shanghai, 200030, China. .,Shanghai Key Laboratory of Embryo Original Disease, Shanghai, 200040, China. .,Shanghai Municipal Key Clinical Specialty, Shanghai, 200030, China.
| |
Collapse
|
9
|
Hromadnikova I, Kotlabova K, Krofta L. First Trimester Prediction of Preterm Delivery in the Absence of Other Pregnancy-Related Complications Using Cardiovascular-Disease Associated MicroRNA Biomarkers. Int J Mol Sci 2022; 23:ijms23073951. [PMID: 35409311 PMCID: PMC8999783 DOI: 10.3390/ijms23073951] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 03/16/2022] [Accepted: 03/31/2022] [Indexed: 02/07/2023] Open
Abstract
The aim of the study was to determine if aberrant expression profile of cardiovascular disease associated microRNAs would be able to predict within 10 to 13 weeks of gestation preterm delivery such as spontaneous preterm birth (PTB) or preterm prelabor rupture of membranes (PPROM) in the absence of other pregnancy-related complications (gestational hypertension, preeclampsia, fetal growth restriction, or small for gestational age). In addition, we assessed if aberrant expression profile of cardiovascular disease associated microRNAs would be able to predict preterm delivery before and after 34 weeks of gestation. The retrospective study was performed within the period November 2012 to March 2020. Whole peripheral blood samples were collected from 6440 Caucasian individuals involving 41 PTB and 65 PPROM singleton pregnancies. A control group, 80 singleton term pregnancies, was selected on the base of equal sample storage time. Gene expression of 29 selected cardiovascular disease associated microRNAs was studied using real-time RT-PCR. Downregulation of miR-16-5p, miR-20b-5p, miR-21-5p, miR-24-3p, miR-26a-5p, miR-92a-3p, miR-126-3p, miR-133a-3p, miR-145-5p, miR-146a-5p, miR-155-5p, miR-210-3p, miR-221-3p and miR-342-3p was observed in pregnancies with preterm delivery before 37 (≤36 + 6/7) weeks of gestation. Majority of downregulated microRNAs (miR-16-5p, miR-24-3p, miR-26a-5p, miR-92a-3p, miR-133a-3p, miR-145-5p, miR-146a-5p, miR-155-5p, miR-210-3p, and miR-342-3p) was associated with preterm delivery occurring before 37 (≤36 + 6/7) weeks of gestation. The only miR-210-3p was downregulated in pregnancies with preterm delivery before 34 (≤33 + 6/7) weeks of gestation. The type of preterm delivery also had impact on microRNA gene expression profile. Downregulation of miR-24-3p, miR-92a-3p, miR-155-5p, and miR-210-3p was a common feature of PTB and PPROM pregnancies. Downregulation of miR-16-5p, miR-20b-5p, miR-26a-5p, miR-126-3p, miR-133a-3p, miR-146a-5p, miR-221-3p, and miR-342-3p appeared just in PTB pregnancies. No microRNA was uniquely dysregulated in PPROM pregnancies. The combination of 12 microRNAs (miR-16-5p, miR-20b-5p, miR-21-5p, miR-24-3p, miR-26a-5p, miR-92a-3p, miR-133a-3p, miR-145-5p, miR-146a-5p, miR-155-5p, miR-210-3p, and miR-342-3p, AUC 0.818, p < 0.001, 74.53% sensitivity, 75.00% specificity, cut off > 0.634) equally as the combination of 6 microRNAs (miR-16-5p, miR-21-5p, miR-24-3p, miR-133a-3p, miR-155-5p, and miR-210-3p, AUC 0.812, p < 0.001, 70.75% sensitivity, 78.75% specificity, cut off > 0.652) can predict preterm delivery before 37 weeks of gestation in early stages of gestation in 52.83% pregnancies at 10.0% FPR. Cardiovascular disease associated microRNAs represent promising biomarkers with very good diagnostical potential to be implemented into the current routine first trimester screening programme to predict preterm delivery.
Collapse
Affiliation(s)
- Ilona Hromadnikova
- Department of Molecular Biology and Cell Pathology, Third Faculty of Medicine, Charles University, 100 00 Prague, Czech Republic;
- Correspondence: ; Tel.: +420-296511336
| | - Katerina Kotlabova
- Department of Molecular Biology and Cell Pathology, Third Faculty of Medicine, Charles University, 100 00 Prague, Czech Republic;
| | - Ladislav Krofta
- Institute for the Care of the Mother and Child, Third Faculty of Medicine, Charles University, 147 00 Prague, Czech Republic;
| |
Collapse
|
10
|
Cao S, Li N, Zhang C, Liu J, Wang H, Leng J, Wang L, Li W, Yu Z, Hu G, Li J, Yang X. Adverse pregnancy outcomes are associated with an increased risk of postpartum prediabetes and diabetes in Chinese women with gestational diabetes. Diabetes Res Clin Pract 2022; 186:109817. [PMID: 35247530 DOI: 10.1016/j.diabres.2022.109817] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Revised: 02/24/2022] [Accepted: 02/28/2022] [Indexed: 11/03/2022]
Abstract
AIMS To explore associations between adverse pregnancy outcomes and risk of postpartum diabetes and prediabetes among Chinese women with gestational diabetes mellitus (GDM). METHODS A total of 507 women with GDM who participated in a randomized controlled trial were successfully followed up at a median of 9.1 (interquartile range: 7.7-11.3) weeks after delivery and underwent a 75 g 2-h oral glucose tolerance test. GDM was diagnosed according to the International Association of Diabetes and Pregnancy Study Group's criteria. Postpartum diabetes and prediabetes were defined by the World Health Organization's. Generalized logit model was used to obtain odds ratios (OR) and 95% confidence interval (CI) of adverse pregnancy outcomes for postpartum diabetes, prediabetes and abnormal glucose regulation (AGR). RESULTS Of 507 women with GDM, 3.7% (19) women developed postpartum diabetes, 35.1% (178) women developed postpartum prediabetes. Preterm birth was associated with increased risk of postpartum prediabetes and AGR (adjusted OR: 3.24, 95%CI: 1.48-7.07 & 3.16, 1.46-6.85). Low birth weight was associated with the risk of postpartum prediabetes, diabetes and AGR (adjusted OR: 2.78, 95%CI: 1.13-6.86; 5.21, 1.13-24.02 & 2.99, 1.24-7.21). CONCLUSIONS Preterm birth and low birth weight were predictive of postpartum prediabetes, diabetes or AGR in Chinese women with GDM.
Collapse
Affiliation(s)
- Shu Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Ninghua Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Cuiping Zhang
- Tianjin Women and Children's Health Centre, Tianjin, China
| | - Jinnan Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Hui Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Junhong Leng
- Tianjin Women and Children's Health Centre, Tianjin, China
| | - Leishen Wang
- Tianjin Women and Children's Health Centre, Tianjin, China
| | - Weiqin Li
- Tianjin Women and Children's Health Centre, Tianjin, China
| | - Zhijie Yu
- Population Cancer Research Program, Dalhousie University, Halifax, NS, Canada
| | - Gang Hu
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Jing Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China; Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China.
| | - Xilin Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China; Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China.
| |
Collapse
|
11
|
Barišić A, Stanković A, Stojković L, Pereza N, Ostojić S, Peterlin A, Peterlin B, Vraneković J. Maternal LINE-1 DNA Methylation in Early Spontaneous Preterm Birth. Biol Res Nurs 2021; 24:85-93. [PMID: 34727781 DOI: 10.1177/10998004211043571] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Despite considerable effort aimed at decreasing the incidence of spontaneous preterm birth (SPTB), it remains the leading cause of infant mortality and morbidity. The aim of this study was to evaluate maternal LINE-1 DNA methylation (DNAm), along with DNMT polymorphisms and factors proposed to modulate DNAm, in patients who delivered early preterm. This case-control study included women who delivered spontaneously early preterm (23-336/7 weeks of gestation), and control women. DNAm was analyzed in peripheral blood lymphocytes by quantification of LINE-1 DNAm using the MethyLight method. There was no significant difference in LINE-1 DNAm between patients with early PTB and controls. Among the investigated predictors, only the history of previous PTB was significantly associated with LINE-1 DNAm in PTB patients (β = -0.407; R2 = 0.131; p = 0.011). The regression analysis showed the effect of DNMT3B rs1569686 TT+TG genotypes on LINE-1 DNAm in patients with familial PTB (β = -0.524; R2 = 0.275; p = 0.037). Our findings suggest novel associations of maternal LINE-1 DNA hypomethylation with DNMT3B rs1569686 T allele. These results also contribute to the understanding of a complex (epi)genetic and environmental relationship underlying the early PTB.
Collapse
Affiliation(s)
- Anita Barišić
- Department of Medical Biology and Genetics, Faculty of Medicine, University of Rijeka, Rijeka, Croatia
| | - Aleksandra Stanković
- Department for Radiobiology and Molecular Genetics, Vinča Institute of Nuclear Sciences-National Institute of the Republic of Serbia, University of Belgrade, Serbia
| | - Ljiljana Stojković
- Department for Radiobiology and Molecular Genetics, Vinča Institute of Nuclear Sciences-National Institute of the Republic of Serbia, University of Belgrade, Serbia
| | - Nina Pereza
- Department of Medical Biology and Genetics, Faculty of Medicine, University of Rijeka, Rijeka, Croatia
| | - Saša Ostojić
- Department of Medical Biology and Genetics, Faculty of Medicine, University of Rijeka, Rijeka, Croatia
| | - Ana Peterlin
- Institute of Histology and Embryology, Faculty of Medicine, University of Ljubljana, Slovenia
| | - Borut Peterlin
- Clinical Institute of Medical Genetics, University Medical Center Ljubljana, Slovenia
| | - Jadranka Vraneković
- Department of Medical Biology and Genetics, Faculty of Medicine, University of Rijeka, Rijeka, Croatia
| |
Collapse
|
12
|
Haggerty DK, Upson K, Pacyga DC, Franko JE, Braun JM, Strakovsky RS. REPRODUCTIVE TOXICOLOGY: Pregnancy exposure to endocrine disrupting chemicals: implications for women's health. Reproduction 2021; 162:F169-F180. [PMID: 34486984 PMCID: PMC8511181 DOI: 10.1530/rep-21-0051] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Accepted: 09/06/2021] [Indexed: 12/17/2022]
Abstract
Women are ubiquitously exposed to non-persistent endocrine disrupting chemicals (EDCs) from food contact materials and personal care products. Understanding the impacts of exposure to these chemicals on pregnancy and long-term health outcomes in women is a critical area of research that has been largely overlooked. This brief review focuses on the epidemiologic literature exploring associations of non-persistent EDCs - including phthalates, parabens, bisphenols, and triclosan - with maternal pregnancy outcomes and long-term health outcomes in women. We focus on the challenges of this research, particularly assessing non-persistent EDC exposures, aspects of study design, and statistical approaches. We conclude by reviewing the best practices for non-persistent EDC research with regards to pregnancy and women's health. Though limited, we found some evidence indicating that exposure to non-persistent EDCs is associated with pregnancy health. However, findings from these studies have been inconsistent and require corroboration. Recent studies have also proposed that non-persistent EDC exposures in pregnancy may adversely affect postnatal maternal health. To date, only a few studies have been conducted and have only focused on postpartum weight. More research is needed in this area to inform efforts to promote optimal health across the lifespan of women.
Collapse
Affiliation(s)
- Diana K. Haggerty
- Department of Food Science and Human Nutrition, State University, East Lansing, MI, 48824, United States
| | - Kristen Upson
- Department of Epidemiology and Biostatistics, College of Human Medicine, State University, East Lansing, MI, 48824, United States
| | - Diana C. Pacyga
- Department of Food Science and Human Nutrition, State University, East Lansing, MI, 48824, United States
- Institute for Integrative Toxicology, Michigan State University, East Lansing, MI, 48824, United States
| | - J. Ebba Franko
- Department of Food Science and Human Nutrition, State University, East Lansing, MI, 48824, United States
| | - Joseph M. Braun
- Department of Epidemiology, Brown University School of Public Health, Box G-S121-2, Providence, Rhode Island 02903, United States
| | - Rita S. Strakovsky
- Department of Food Science and Human Nutrition, State University, East Lansing, MI, 48824, United States
- Institute for Integrative Toxicology, Michigan State University, East Lansing, MI, 48824, United States
| |
Collapse
|
13
|
Harvey L, van Elburg R, van der Beek EM. Macrosomia and large for gestational age in Asia: One size does not fit all. J Obstet Gynaecol Res 2021; 47:1929-1945. [PMID: 34111907 DOI: 10.1111/jog.14787] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 02/05/2021] [Accepted: 03/22/2021] [Indexed: 12/17/2022]
Abstract
Macrosomia, usually defined as infant birth weight of ≥4000 g, does not consider gestational age, sex, or country/region-specific differences in mean birth weight and maternal body weight. This issue is particularly relevant for Asia, where 60% of the world's population lives, due to variations in maternal size and birth weights across populations. Large for gestational age (LGA), defined as birth weight > 90th centile, is a more sensitive measure as it considers gestational age and sex, though it is dependent on the choice of growth charts. We aimed to review reporting of macrosomia and LGA in Asia. We reviewed the literature on prevalence and risk of macrosomia and LGA in Asia over the last 29 years. Prevalence of macrosomia ranged from 0.5% (India) to 13.9% (China) while prevalence of LGA ranged from 4.3% (Korea) to 22.1% (China), indicating substantial variation in prevalence within and between Asian countries. High pre-pregnancy body mass index, excessive gestational weight gain, and impaired glucose tolerance conferred risk of macrosomia/LGA. Incidence of macrosomia and LGA varies substantially within and between Asian countries, as do the growth charts and definitions. The latter makes it impossible to make comparisons but suggests differences in intrauterine growth between populations. Reporting LGA, using standardized country/regional growth charts, would better capture the incidence of high birth weight and allow for comparison and identification of contributing factors. Better understanding of local drivers of excessive intrauterine growth could enable development of improved strategies for prevention and management of LGA.
Collapse
Affiliation(s)
- Louise Harvey
- Nutricia Research, Danone Nutricia Research, Utrecht, The Netherlands
| | - Ruurd van Elburg
- Department of Pediatrics, Emma Children's Hospital, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Eline M van der Beek
- Department of Pediatrics, University Medical Centre Groningen, Groningen, The Netherlands
| |
Collapse
|
14
|
Hromadnikova I, Kotlabova K, Krofta L. A History of Preterm Delivery Is Associated with Aberrant Postpartal MicroRNA Expression Profiles in Mothers with an Absence of Other Pregnancy-Related Complications. Int J Mol Sci 2021; 22:ijms22084033. [PMID: 33919834 PMCID: PMC8070839 DOI: 10.3390/ijms22084033] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 04/12/2021] [Accepted: 04/12/2021] [Indexed: 12/21/2022] Open
Abstract
This prospective cross-sectional case-control study investigated the postpartal gene expression of microRNAs associated with diabetes/cardiovascular/cerebrovascular diseases in the peripheral white blood cells of women with anamnesis of preterm prelabor rupture of membranes (n = 58), spontaneous preterm birth (n = 55), and term delivery (n = 89) by a quantitative reverse transcription polymerase chain reaction. After pregnancies complicated by preterm prelabor rupture of membranes or spontaneous preterm birth, mothers showed diverse expression profiles for 25 out of 29 tested microRNAs (miR-1-3p, miR-16-5p, miR-17-5p, miR-20a-5p, miR-20b-5p, miR-21-5p, miR-23a-3p, miR-24-3p, miR-26a-5p, miR-29a-3p, miR-100-5p, miR-103a-3p, miR-125b-5p, miR-126-3p, miR-130b-3p, miR-133a-3p, miR-143-3p, miR-145-5p, miR-146a-5p, miR-181a-5p, miR-195-5p, miR-199a-5p, miR-221-3p, miR-499a-5p, and miR-574-3p). The earliest gestational ages at delivery and the lowest birth weights of newborns were associated with the highest postpartal levels of the previously mentioned microRNAs in maternal peripheral white blood cells. Administration of tocolytic drugs in order to prolong pregnancy, used in order to administer and complete a full course of antenatal corticosteroids, was associated with alterations in postpartal microRNA expression profiles to a lesser extent than in women with imminent delivery, where there was insufficient time for administration of tocolytics and antenatal corticosteroids. Overall, mothers who did not receive tocolytic therapy (miR-24-3p and miR-146a-5p) and mothers who did not receive corticosteroid therapy (miR-1-3p, miR-100-5p, and miR-143-3p) had increased or showed a trend toward increased postpartal microRNA expression when compared with mothers given tocolytic and corticosteroid therapy. In addition, mothers with serum C-reactive protein levels above 20 mg/L, who experienced preterm labour, showed a trend toward increased postpartal expression profiles of miR-143-3p and miR-199a-5p when compared with mothers with normal serum C-reactive protein levels. On the other hand, the occurrence of maternal leukocytosis, the presence of intra-amniotic inflammation (higher levels of interleukin 6 in the amniotic fluid), and the administration of antibiotics at the time of preterm delivery had no impact on postpartal microRNA expression profiles in mothers with a history of preterm delivery. Likewise, the condition of the newborns at the moment of birth, determined by Apgar scores at 5 and 10 min and the pH of cord arterial blood, had no influence on the postpartal expression profiles of mothers with a history of preterm delivery. These findings may contribute to explaining the increased cardiovascular risk in mothers with anamnesis of preterm delivery, and the greater increase of maternal cardiovascular risk with the decrease of gestational age at delivery. Women with preterm delivery in their anamnesis represent a high-risk group with special needs on a long-term basis, with a need to apply preventive and therapeutic interventions as early as possible.
Collapse
Affiliation(s)
- Ilona Hromadnikova
- Department of Molecular Biology and Cell Pathology, Third Faculty of Medicine, Charles University, 10000 Prague, Czech Republic;
- Correspondence: ; Tel.: +420-296511336
| | - Katerina Kotlabova
- Department of Molecular Biology and Cell Pathology, Third Faculty of Medicine, Charles University, 10000 Prague, Czech Republic;
| | - Ladislav Krofta
- Institute for the Care of the Mother and Child, Third Faculty of Medicine, Charles University, 14700 Prague, Czech Republic;
| |
Collapse
|
15
|
Vahidi M, Asgari S, Tohidi M, Azizi F, Hadaegh F. Macrosomia is a risk factor for incident maternal chronic kidney disease. BMC Pregnancy Childbirth 2021; 21:210. [PMID: 33726706 PMCID: PMC7968264 DOI: 10.1186/s12884-021-03695-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 03/03/2021] [Indexed: 11/29/2022] Open
Abstract
Background Gestational diabetes mellitus (GDM) and macrosomia are associated with several adverse outcomes including diabetes mellitus and cardiovascular diseases, however, the relationship between GDM/macrosomia with incident chronic kidney disease (CKD) is a matter of debate. The purpose of this study was to examine the association between the history of macrosomia with or without GDM and incident maternal CKD. Methods The study population includes 2669 women aged 18–50 years without known diabetes mellitus and CKD from participants of the Tehran Lipid and Glucose Study. The study population was categorized into 3 groups; group 1: GDM/macrosomia and without diabetes mellitus (n = 204), group 2: newly diagnosed incident diabetes mellitus (NDM) in the presence or abcence of GDM/Macrosomia (n = 113), and, group 3: the reference group including women without prior history of GDM/macrosomia and free of NDM (n = 2352). CKD was defined as an estimated glomerular filtration rate (eGFR) < 60 ml/min/1.73 m2. Multivariable Cox proportional hazard regression adjusted for baseline values of age, body mass index, waist circumference, parity numbers, smoking, educational level, gestational hypertension, eGFR, systolic and diastolic blood pressures (SBP and DBP, respectively), anti-hypertensive medication, and family history of diabetes mellitus was applied for data analyses. Results During a median follow-up of 11.9 years, 613 incident CKD cases were identified. The multivariable hazard ratio (HR) and 95% confidence interval (CI) on GDM/macrosomia group was [1.32 (1.02–1.72)]; the risk was more prominent among non-hypertensive women [1.41 (1.07–1.85); P for interaction: 0.046]. Moreover, the history of macrosomia alone also showed a significant risk [1.36 (1.04–1.78)]; however, history of GDM alone did not have a significant risk [0.92 (0.34–2.46)]. Age, current smoking, eGFR, and SBP remained as independent risk factors for incident CKD. Conclusions A history of GDM/macrosomia or macrosomia alone, independent of subsequent diabetes mellitus was associated with significant risk for incident maternal CKD. Pregnancy may provide a unique situation to identify high-risk women at risk for CKD that could benefit from regular monitoring of kidney function and providing risk modifying strategies.
Collapse
Affiliation(s)
- Mohammad Vahidi
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Samaneh Asgari
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam Tohidi
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farzad Hadaegh
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences Shahid Beheshti University of Medical Sciences, Tehran, Iran
| |
Collapse
|
16
|
Ghassibe-Sabbagh M, Mehanna Z, Farraj LA, Salloum AK, Zalloua PA. Gestational diabetes mellitus and macrosomia predispose to diabetes in the Lebanese population. J Clin Transl Endocrinol 2019; 16:100185. [PMID: 30899673 PMCID: PMC6406007 DOI: 10.1016/j.jcte.2019.100185] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Revised: 02/17/2019] [Accepted: 02/18/2019] [Indexed: 01/06/2023] Open
Abstract
AIMS The Middle East has the fastest rising rate of Type 2 Diabetes Mellitus (T2DM) worldwide, with Lebanon having 15.8% of its population affected. This study aims at studying Polycystic Ovarian Syndrome (PCOS), Gestational Diabetes Mellitus (GDM), and macrosomia as risk factors of T2DM in Lebanon. Such epidemiological and statistical study has never been conducted before in the Middle East region and would be useful for clinical diagnosis. METHODS Our cohort is comprised of 1453 Lebanese individuals, with 897 controls and 556 patients. We tested the correlation between T2DM and the covariates GDM, PCOS, and macrosomia independently. We conducted multinomial logistic regression and cross tabulations with T2DM as an outcome. RESULTS The results showed a significant association of the independent factors GDM and macrosomia with T2DM. The risk of having T2DM was increased by 4.192 times with the GDM, and by 2.315 times with macrosomia respectively. CONCLUSION In conclusion, GDM and macrosomia, but not PCOS, are significant risk factors for T2DM in our Lebanese cohort. Our results, reported for the first time in the Middle East, present insights into risk factors management and disease prevention.
Collapse
Affiliation(s)
- Michella Ghassibe-Sabbagh
- Department of Natural Sciences, School of Arts and Sciences, Lebanese American University, Beirut, Lebanon
| | - Zeina Mehanna
- Department of Natural Sciences, School of Arts and Sciences, Lebanese American University, Beirut, Lebanon
| | - Layal Abi Farraj
- Department of Natural Sciences, School of Arts and Sciences, Lebanese American University, Beirut, Lebanon
| | | | - Pierre A. Zalloua
- School of Medicine, Lebanese American University, Beirut, Lebanon
- Harvard T.H. Chan School of Public Health, Boston, MA, USA
| |
Collapse
|
17
|
Gómez ML, Hieronymus LB, Ashford KB, Barnett JM, Renn TA. Linking Postpartum and Parenting Women With a National Diabetes Prevention Program: Recruitment Efforts, Challenges, and Recommendations. Diabetes Spectr 2018; 31:324-329. [PMID: 30510387 PMCID: PMC6243224 DOI: 10.2337/ds18-0013] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
IN BRIEF Women with a history of gestational diabetes mellitus (GDM) are at higher risk for type 2 diabetes. This project piloted the National Diabetes Prevention Program lifestyle change program in cohorts of women with a history of GDM. The article describes recruitment efforts, challenges, and study participation and provides recommendations for future program implementation.
Collapse
Affiliation(s)
- Maria L. Gómez
- College of Nursing, University of Kentucky, Lexington, KY
| | - Laura B. Hieronymus
- College of Nursing, University of Kentucky, Lexington, KY
- UK HealthCare Barnstable Brown Diabetes Center, University of Kentucky, Lexington, KY
| | | | | | | |
Collapse
|
18
|
Tanz LJ, Stuart JJ, Williams PL, Missmer SA, Rimm EB, James-Todd TM, Rich-Edwards JW. Preterm Delivery and Maternal Cardiovascular Disease Risk Factors: The Nurses' Health Study II. J Womens Health (Larchmt) 2018; 28:677-685. [PMID: 30222501 DOI: 10.1089/jwh.2018.7150] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Background: Preterm delivery has been linked to future maternal cardiovascular disease (CVD); however, research investigating clinical CVD risk factors is limited. We evaluated whether women who have delivered an infant preterm are at higher risk of developing CVD risk factors after adjustment for prepregnancy confounders. Materials and Methods: We examined the association between preterm delivery and incident chronic hypertension, type 2 diabetes mellitus (T2DM), and hypercholesterolemia among 57,904 parous women in the Nurses' Health Study II. Multivariable Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the associations between preterm delivery in first pregnancy and each CVD risk factor; adjusted cumulative incidence curves were computed using the Breslow estimator. Results: Preterm delivery (<37 weeks) was associated with HRs of 1.11 (95% CI: 1.06-1.17) for chronic hypertension, 1.17 (95% CI: 1.03-1.33) for T2DM, and 1.07 (95% CI: 1.03-1.11) for hypercholesterolemia, adjusting for age, race/ethnicity, parental education, and prepregnancy confounders (e.g., body mass index, smoking, and family history). HRs were higher in women who delivered very preterm (<32 weeks) and in the first 10 years after first birth. The cumulative incidence of each risk factor was highest in women who delivered very preterm. Conclusions: Women with a history of preterm delivery are at higher risk of developing chronic hypertension, T2DM, and hypercholesterolemia in the years after pregnancy. This increased risk was particularly pronounced in the first 10 years after a preterm delivery, indicating that it may be an important time period to implement lifestyle interventions.
Collapse
Affiliation(s)
- Lauren J Tanz
- 1 Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.,2 Division of Women's Health, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Jennifer J Stuart
- 1 Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.,2 Division of Women's Health, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Paige L Williams
- 1 Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.,3 Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Stacey A Missmer
- 4 Division of Adolescent and Young Adult Medicine, Department of Pediatrics, Boston Children's Hospital and Harvard Medical School, Boston, Massachusetts.,5 Department of Obstetrics, Gynecology, and Reproductive Biology, College of Human Medicine, Michigan State University, East Lansing, Michigan
| | - Eric B Rimm
- 1 Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.,6 Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.,7 Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Tamarra M James-Todd
- 1 Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.,2 Division of Women's Health, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.,8 Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Janet W Rich-Edwards
- 1 Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.,2 Division of Women's Health, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.,7 Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.,9 Connors Center for Women's Health and Gender Biology, Brigham and Women's Hospital, Boston, Massachusetts
| |
Collapse
|
19
|
Hakkarainen H, Huopio H, Cederberg H, Voutilainen R, Heinonen S. Delivery of an LGA infant and the maternal risk of diabetes: A prospective cohort study. Prim Care Diabetes 2018; 12:364-370. [PMID: 29735430 DOI: 10.1016/j.pcd.2018.04.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2017] [Revised: 04/05/2018] [Accepted: 04/07/2018] [Indexed: 10/17/2022]
Abstract
AIMS Was to determine whether the birth weight of the infant predicts prediabetes (impaired fasting glucose, impaired glucose tolerance, or both) and type 2 diabetes (T2DM) during long-term follow-up of women with or without gestational diabetes mellitus (GDM). METHODS The women with or without GDM during their pregnancies in Kuopio University Hospital in 1989-2009 (n=876) were contacted and invited for an evaluation. They were stratified into two groups according to the newborn's birth weight: 10-90th percentile (appropriate-for-gestational-age; AGA) (n=662) and >90th percentile (large-for-gestational-age; LGA) (n=116). Glucose tolerance was investigated with an oral glucose tolerance test after a mean follow-up time of 7.3 (SD 5.1) years. RESULTS The incidence of T2DM was 11.8% and 0% in the women with and without GDM, respectively, after an LGA delivery. The incidence of prediabetes increased with offspring birth weight categories in the women with and without GDM: from 46.3% and 26.2% (AGA) to 52.9% and 29.2% (LGA), respectively. CONCLUSIONS GDM women with LGA infants are at an increased risk for subsequent development of T2DM and therefore represent a target group for intervention to delay or prevent T2DM development. In contrast, an LGA delivery without GDM does not increase T2DM risk.
Collapse
Affiliation(s)
- Heidi Hakkarainen
- Department of Obstetrics and Gynecology, Kuopio University Hospital, P.O.B 100, 70029 Kuopio, Finland; Institute of Clinical Medicine, School of Medicine, University of Eastern Finland, P.O.B 1627, 70211 Kuopio, Finland.
| | - Hanna Huopio
- Department of Pediatrics, Kuopio University Hospital, P.O.B 100, 70029 Kuopio, Finland
| | - Henna Cederberg
- Department of Medicine, Helsinki University Hospital, Jorvi Hospital, P.O.B 800, 00029 Helsinki, Finland
| | - Raimo Voutilainen
- Department of Pediatrics, Kuopio University Hospital, P.O.B 100, 70029 Kuopio, Finland; Department of Pediatrics, University of Eastern Finland, P.O.B 1627, 70211 Kuopio, Finland
| | - Seppo Heinonen
- Department of Obstetrics and Gynecology, Helsinki University Central Hospital, P.O.B 140, 00029 Helsinki, Finland; Department of Obstetrics and Gynecology, University of Helsinki, P.O.B 3, 00014 Helsinki, Finland
| |
Collapse
|
20
|
Tanz LJ, Stuart JJ, Missmer SA, Rimm EB, Sumner JA, Vadnais MA, Rich-Edwards JW. Cardiovascular biomarkers in the years following pregnancies complicated by hypertensive disorders or delivered preterm. Pregnancy Hypertens 2018; 13:14-21. [PMID: 30177042 DOI: 10.1016/j.preghy.2018.04.015] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2017] [Accepted: 04/17/2018] [Indexed: 12/24/2022]
Abstract
BACKGROUND Women with a history of hypertensive disorders of pregnancy and preterm delivery have an increased risk of cardiovascular disease (CVD). Chronic inflammation, endothelial dysfunction, and dyslipidemia may link pregnancy outcomes with CVD. OBJECTIVE We evaluated whether women with a history of HDP or normotensive preterm delivery had adverse CVD biomarker profiles after pregnancy. STUDY DESIGN We identified parous women from the Nurses' Health Study II with C-reactive protein (CRP; n = 2614), interleukin-6 (IL-6; n = 2490), glycated hemoglobin (n = 885), intracellular adhesion molecule-1 (n = 1231), high density lipoprotein cholesterol (n = 931), low density lipoprotein cholesterol (n = 931), triglycerides (n = 1428), or total cholesterol (n = 2940) assessed in stored blood samples. Multivariable-adjusted robust linear regression models evaluated percent differences and 95% confidence intervals (CIs) in each biomarker associated with a history of HDP or preterm delivery. RESULTS Ten percent of women had a history of HDP, while 11% with normotensive pregnancies had at least one preterm delivery. Median time from first pregnancy to blood draw was 17 years (interquartile range: 12, 22). Plasma levels of CRP and IL-6 were 34.4% (95% CI: 17.2, 54.1), and 11.6% higher (95% CI: 2.1, 21.9) respectively, among women with a history of HDP compared to those with only normotensive pregnancies. Altered CVD biomarker levels were otherwise not present in women with a history of HDP or preterm delivery. CONCLUSION CRP and IL-6, but not other CVD biomarkers, were elevated in women with a history of HDP in the years following pregnancy, suggesting inflammation may be a pathway linking HDP with future CVD risk.
Collapse
Affiliation(s)
- Lauren J Tanz
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Division of Women's Health, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Jennifer J Stuart
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Division of Women's Health, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Stacey A Missmer
- Division of Adolescent and Young Adult Medicine, Department of Pediatrics, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA; Department of Obstetrics, Gynecology, and Reproductive Biology, College of Human Medicine, Michigan State University, Grand Rapids, MI, USA.
| | - Eric B Rimm
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
| | - Jennifer A Sumner
- Center for Behavioral Cardiovascular Health, Columbia University Medical Center, New York, NY, USA.
| | - Mary A Vadnais
- Department of Obstetrics, Gynecology and Reproductive Biology, Harvard Medical School, Boston, MA, USA; Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center and Harvard Vanguard Medical Associates, Boston, MA, USA.
| | - Janet W Rich-Edwards
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Division of Women's Health, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
| |
Collapse
|
21
|
Wang L, Hu W, Guan Q, Du G, Chen T, Wu W, Wang Y, Wang X, Xia Y. The association between cooking oil fume exposure during pregnancy and birth weight: A prospective mother-child cohort study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 612:822-830. [PMID: 28881305 DOI: 10.1016/j.scitotenv.2017.08.031] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2017] [Revised: 08/03/2017] [Accepted: 08/03/2017] [Indexed: 06/07/2023]
Abstract
Effects of indoor air pollution on neonatal birth weight has been studied for many years. In China, cooking oil fumes are important parts of indoor air pollution. However, whether cooking oil fume exposure during pregnancy affects birth weight in China remains poorly understood. The objective of this study was to examine the association between pregnancy exposure to cooking oil fumes and birth weight in a newly established prospective mother-child cohort in China. We finally included 1420 pregnant women from 2013 to 2015 and follow up for one year until the offspring was born. According to self-reported exposure status, we categorized mothers into non-exposure group and exposed group or three exposure time subgroups, including 0h/day, 0-1h/day and >1h/day respectively. By using multinomial logistics regression models, we found that pregnancy exposure to cooking oil fumes significantly increased the risk of large for gestational age (LGA, OR=1.58, 95% CI=1.15-2.18, P=4.88×10-3). Additionally, compared to pregnant women who were in non-exposure group, 0-1h/day exposure elevated the risk of LGA (OR=1.69, 95% CI=1.22-2.33, P=1.63×10-3), while >1h/day exposure elevated the risk of small for gestational age, but were not significant (SGA, OR=2.15, 95% CI=0.61-7.66, P=0.24). In the stratification analysis, women aged 25-29years and ≥30years were predisposed to the influence of cooking oil fumes and have LGA newborns (OR=1.73, 95% CI=1.09-2.75, P=0.02; OR=1.72, 95% CI=1.07-2.77, P=0.02, respectively). In conclusion, the present study suggests inverse U-shape dose response association between maternal exposure to cooking oil fumes during pregnancy and birth weight, and further studies are needed to verify the effect of cooking oil fumes on the birth weight.
Collapse
Affiliation(s)
- Lingling Wang
- State Key Laboratory of Reproductive Medicine, Institute of Toxicology, Nanjing Medical University, Nanjing 211166, China; Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Weiyue Hu
- State Key Laboratory of Reproductive Medicine, Institute of Toxicology, Nanjing Medical University, Nanjing 211166, China; Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Quanquan Guan
- State Key Laboratory of Reproductive Medicine, Institute of Toxicology, Nanjing Medical University, Nanjing 211166, China; Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Guizhen Du
- State Key Laboratory of Reproductive Medicine, Institute of Toxicology, Nanjing Medical University, Nanjing 211166, China; Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Ting Chen
- Nanjing Maternal and Child Health Medical Institute, Obstetrics and Gynecology Hospital Affiliated to Nanjing Medical University, Nanjing 210004, China
| | - Wei Wu
- State Key Laboratory of Reproductive Medicine, Institute of Toxicology, Nanjing Medical University, Nanjing 211166, China; Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Yun Wang
- Suzhou Affiliated Hospital of Nanjing Medical University, 26 Daoqian Road, Suzhou 215002, JiangSu Province, China
| | - Xinru Wang
- State Key Laboratory of Reproductive Medicine, Institute of Toxicology, Nanjing Medical University, Nanjing 211166, China; Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China
| | - Yankai Xia
- State Key Laboratory of Reproductive Medicine, Institute of Toxicology, Nanjing Medical University, Nanjing 211166, China; Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
| |
Collapse
|
22
|
Mi D, Fang H, Zhao Y, Zhong L. Birth weight and type 2 diabetes: A meta-analysis. Exp Ther Med 2017; 14:5313-5320. [PMID: 29285058 PMCID: PMC5740598 DOI: 10.3892/etm.2017.5234] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2016] [Accepted: 07/07/2017] [Indexed: 12/30/2022] Open
Abstract
The prevalence of T2DM is increasing around the world on a yearly basis. A meta-analysis was conducted to analyze the association between birth weight and incidence of type 2 diabetes mellitus (T2DM). A literature search was performed from January 1990 to June 2016 in PubMed, ScienceDirect, SpringerLink, China National Knowledge Infrastructure and Chinese Biomedical Literature Database. After reviewing characteristics of all the included studies systematically, a meta-analytical method was employed to calculate the pooled odds ratios (ORs) and associated 95% confidence intervals (CI) from random-effects models. Heterogeneity was assessed by Q-statistic test. Funnel plot, Begg's and Egger's linear regression tests were applied to evaluate publication bias. A sensitivity analysis was also performed to assess the robustness of results. According to inclusion and exclusion criteria, 8 studies were selected to be included in the meta-analysis. Compared with normal birth weight (2,500–4,000 g), low birth weight (<2,500 g) was associated with an increased risk of T2DM (OR, 1.55; 95% CI, 1.39–1.73; P<0.001). No significant difference was observed between high birth weight (>4,000 g) and normal birth weight in terms of the risk of T2DM (OR, 0.98; 95% CI, 0.79–1.22). Compared with high birth weight, low birth weight was associated with an increased risk of diabetes mellitus (OR, 1.58; 95% CI, 1.30–1.93; P<0.001). These findings indicated that there may be an inverse linear association between birth weight and T2DM.
Collapse
Affiliation(s)
- Donghua Mi
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, P.R. China
| | - Hongjuan Fang
- Department of Endocrinology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, P.R. China
| | - Yaqun Zhao
- Department of Endocrinology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, P.R. China
| | - Liyong Zhong
- Department of Endocrinology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, P.R. China
| |
Collapse
|
23
|
Heslehurst N, Vieira R, Hayes L, Crowe L, Jones D, Robalino S, Slack E, Rankin J. Maternal body mass index and post-term birth: a systematic review and meta-analysis. Obes Rev 2017; 18:293-308. [PMID: 28085991 PMCID: PMC5324665 DOI: 10.1111/obr.12489] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2016] [Revised: 09/27/2016] [Accepted: 11/14/2016] [Indexed: 01/28/2023]
Abstract
Post-term birth is a preventable cause of perinatal mortality and severe morbidity. This review examined the association between maternal body mass index (BMI) and post-term birth at ≥42 and ≥41 weeks' gestation. Five databases, reference lists and citations were searched from May to November 2015. Observational studies published in English since 1990 were included. Linear and nonlinear dose-response meta-analyses were conducted by using random effects models. Sensitivity analyses assessed robustness of the results. Meta-regression and sub-group meta-analyses explored heterogeneity. Obesity classes were defined as I (30.0-34.9 kg m-2 ), II (35.0-39.9 kg m-2 ) and III (≥40 kg m-2 ; IIIa 40.0-44.9 kg m-2 , IIIb ≥ 45.0 kg m-2 ). Searches identified 16,375 results, and 39 studies met the inclusion criteria (n = 4,143,700 births). A nonlinear association between maternal BMI and births ≥42 weeks was identified; odds ratios and 95% confidence intervals for obesity classes I-IIIb were 1.42 (1.27-1.58), 1.55 (1.37-1.75), 1.65 (1.44-1.87) and 1.75 (1.50-2.04) respectively. BMI was linearly associated with births ≥41 weeks: odds ratio is 1.13 (95% confidence interval 1.05-1.21) for each 5-unit increase in BMI. The strength of the association between BMI and post-term birth increases with increasing BMI. Odds are greatest for births ≥42 weeks among class III obesity. Targeted interventions to prevent the adverse outcomes associated with post-term birth should consider the difference in risk between obesity classes.
Collapse
Affiliation(s)
- N. Heslehurst
- Institute of Health and SocietyNewcastle UniversityNewcastle upon TyneUK
| | - R. Vieira
- Institute of Health and SocietyNewcastle UniversityNewcastle upon TyneUK
| | - L. Hayes
- Institute of Health and SocietyNewcastle UniversityNewcastle upon TyneUK
| | - L. Crowe
- Institute of Health and SocietyNewcastle UniversityNewcastle upon TyneUK
| | - D. Jones
- Institute of Health and SocietyNewcastle UniversityNewcastle upon TyneUK
| | - S. Robalino
- Institute of Health and SocietyNewcastle UniversityNewcastle upon TyneUK
| | - E. Slack
- Institute of Health and SocietyNewcastle UniversityNewcastle upon TyneUK
| | - J. Rankin
- Institute of Health and SocietyNewcastle UniversityNewcastle upon TyneUK
| |
Collapse
|
24
|
McHugh L, Andrews RM, Lambert SB, Viney KA, Wood N, Perrett KP, Marshall HS, Richmond P, O'Grady KAF. Birth outcomes for Australian mother-infant pairs who received an influenza vaccine during pregnancy, 2012-2014: The FluMum study. Vaccine 2017; 35:1403-1409. [PMID: 28190746 DOI: 10.1016/j.vaccine.2017.01.075] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2016] [Revised: 01/27/2017] [Accepted: 01/30/2017] [Indexed: 10/20/2022]
Abstract
INTRODUCTION In Australia, influenza vaccination is recommended for all women who will be pregnant during the influenza season. Vaccine safety and effectiveness are key concerns and influencers of uptake for both vaccine providers and families. We assessed the safety of receiving an influenza vaccination during any trimester of pregnancy with respect to preterm births and infant birthweight. METHODS We conducted a nested retrospective cohort study of 'FluMum' participants (2012-2014). Our primary exposure of interest was influenza vaccination during pregnancy. The primary outcomes of interest were infant birthweight and weeks' gestation at birth for live singleton infants. Analyses included comparisons of these birth outcomes by vaccination status and trimester of pregnancy an influenza vaccine was given. We calculated means, proportions, and relative risks and performed multivariable logistic regression for potential confounding factors. RESULTS In the 7126 mother-infant pairs enrolled in this study, mean maternal age at infant birth was 31.7years. Influenza vaccine uptake in pregnancy was 34%. Most mothers with a known date of vaccination received a vaccine in the second trimester (51%). Those mothers with a co-morbidity or risk factor were 13% more likely to have influenza vaccine during pregnancy compared to other mothers (RR 1.13, 95% CI 1.04-1.24, p=0.007). Mean weeks' gestation at birth was 38.7 for the vaccinated and 38.8 for the unvaccinated group (p=0.051). Infants in the vaccinated group weighed 15g less in birthweight compared to the unvaccinated infants (95% CI -12.8 to 42.2, p=0.29). CONCLUSION Results arising from this large Australian cohort study are reassuring with respect to two critical safety outcomes; preterm births and low infant birthweights. Studies examining a broader range of birth outcomes following influenza vaccination during pregnancy are required, particularly now that maternal vaccination in pregnancy has expanded to include pertussis as well as influenza.
Collapse
Affiliation(s)
- Lisa McHugh
- National Centre for Epidemiology and Population Health, Research School of Population Health, Australian National University, Canberra, Australian Capital Territory, Australia; The University of Queensland Child Health Research Centre, The University of Queensland, South Brisbane, Queensland, Australia; Menzies School of Health Research, Charles Darwin University, Tiwi, Northern Territory, Australia.
| | - Ross M Andrews
- Menzies School of Health Research, Charles Darwin University, Tiwi, Northern Territory, Australia
| | - Stephen B Lambert
- The University of Queensland Child Health Research Centre, The University of Queensland, South Brisbane, Queensland, Australia
| | - Kerri A Viney
- National Centre for Epidemiology and Population Health, Research School of Population Health, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Nicholas Wood
- National Centre for Immunisation Research and Surveillance, Sydney Children's Hospitals Network, Discipline of Child and Adolescent Health, University of Sydney, Sydney, New South Wales, Australia
| | - Kirsten P Perrett
- Vaccine and Immunisation Research Group, Murdoch Children's Research Institute and School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Helen S Marshall
- Women's and Children's Health Network, Robinson Research Institute and School of Medicine, The University of Adelaide, Adelaide, South Australia, Australia
| | - Peter Richmond
- University of Western Australia, School of Paediatrics and Child Health and Vaccine Trials Group, Wesfarmers Centre of Vaccines and Infectious Diseases, Telethon Kids Institute, Perth, Western Australia, Australia
| | - Kerry-Ann F O'Grady
- Institute of Health & Biomedical Innovation, Centre for Children's Health Research, Queensland University of Technology, South Brisbane, Queensland, Australia
| |
Collapse
|
25
|
Hillier TA, Pedula KL, Vesco KK, Oshiro CES, Ogasawara KK. Impact of Maternal Glucose and Gestational Weight Gain on Child Obesity over the First Decade of Life in Normal Birth Weight Infants. Matern Child Health J 2016; 20:1559-68. [PMID: 27154523 PMCID: PMC9870031 DOI: 10.1007/s10995-016-1955-7] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Objective To determine, among children with normal birth weight, if maternal hyperglycemia and weight gain independently increase childhood obesity risk in a very large diverse population. Methods Study population was 24,141 individuals (mothers and their normal birth weight offspring, born 1995-2003) among a diverse population with universal GDM screening [50-g glucose-challenge test (GCT); 3 h. 100 g oral glucose tolerance test (OGTT) if GCT+]. Among the 13,037 full-term offspring with normal birth weight (2500-4000 g), annual measured height/weight was ascertained between ages 2 and 10 years to calculate gender-specific BMI-for-age percentiles using USA norms (1960-1995 standard). Results Among children who began life with normal birth weight, we found a significant trend for developing both childhood overweight (>85 %ile) and obesity (>95 %ile) during the first decade of life with both maternal hyperglycemia (normal GCT, GCT+ but no GDM, GDM) and excessive gestational weight gain [>40 pounds (18.1 kg)]; p < 0.0001 for both trends. These maternal glucose and/or weight gain effects to imprint for childhood obesity in the first decade remained after adjustment for potential confounders including maternal age, parity, as well as pre-pregnancy BMI. The attributable risk (%) for childhood obesity was 28.5 % (95 % CI 15.9-41.1) for GDM and 16.4 % (95 % CI 9.4-23.2) for excessive gestational weight gain. Conclusions for Practice Both maternal hyperglycemia and excessive weight gain have independent effects to increase childhood obesity risk. Future research should focus on prevention efforts during pregnancy as a potential window of opportunity to reduce childhood obesity.
Collapse
Affiliation(s)
- Teresa A Hillier
- Center for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Ave., Portland, OR, 97227, USA.
- Center for Health Research, Kaiser Permanente Hawaii, Honolulu, HI, USA.
| | - Kathryn L Pedula
- Center for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Ave., Portland, OR, 97227, USA
| | - Kimberly K Vesco
- Center for Health Research, Kaiser Permanente Northwest, 3800 N. Interstate Ave., Portland, OR, 97227, USA
| | - Caryn E S Oshiro
- Center for Health Research, Kaiser Permanente Hawaii, Honolulu, HI, USA
| | - Keith K Ogasawara
- Department of Obstetrics and Gynecology, Kaiser Permanente Hawaii, Honolulu, HI, USA
| |
Collapse
|
26
|
Chavarro JE, Rich-Edwards JW, Gaskins AJ, Farland LV, Terry KL, Zhang C, Missmer SA. Contributions of the Nurses' Health Studies to Reproductive Health Research. Am J Public Health 2016; 106:1669-76. [PMID: 27459445 DOI: 10.2105/ajph.2016.303350] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
OBJECTIVES To review the Nurses' Health Study's (NHS's) contribution to identifying risk factors and long-term health consequences of reproductive events. METHODS We performed a narrative review of the NHS I, NHS II, NHS3, and Growing Up Today Study (GUTS) publications between 1976 and 2016. RESULTS Collection of detailed reproductive history to identify breast cancer risk factors allowed the NHS to document an association between menstrual irregularities, a proxy for polycystic ovary syndrome (PCOS), and increased risk of diabetes and cardiovascular disease. The NHS II found that infertility associated with ovulation problems and gestational diabetes are largely preventable through diet and lifestyle modification. It also identified developmental and nutritional risk factors for pregnancy loss, endometriosis, and uterine leiomyomata. As women in NHS II age, it has become possible to address questions regarding long-term health consequences of pregnancy complications and benign gynecologic conditions on chronic disease risk. Furthermore, the NHS3 and GUTS are allowing new lines of research into human fertility, PCOS, and transgenerational effects of environmental exposures. CONCLUSIONS The multigenerational resources of the NHSs and GUTS, including linkages of related individuals across cohorts, can improve women's health from preconception through late adulthood and onto the next generation.
Collapse
Affiliation(s)
- Jorge E Chavarro
- Jorge E. Chavarro, Janet W. Rich-Edwards, Audrey J. Gaskins, Leslie V. Farland, Kathryn L. Terry, and Stacey A. Missmer are with the Harvard T. H. Chan School of Public Health, and Brigham and Women's Hospital and Harvard Medical School, Boston, MA. Cuilin Zhang is with the Epidemiology Branch, Division of Intramural Population Health Research at the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Rockville, MD
| | - Janet W Rich-Edwards
- Jorge E. Chavarro, Janet W. Rich-Edwards, Audrey J. Gaskins, Leslie V. Farland, Kathryn L. Terry, and Stacey A. Missmer are with the Harvard T. H. Chan School of Public Health, and Brigham and Women's Hospital and Harvard Medical School, Boston, MA. Cuilin Zhang is with the Epidemiology Branch, Division of Intramural Population Health Research at the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Rockville, MD
| | - Audrey J Gaskins
- Jorge E. Chavarro, Janet W. Rich-Edwards, Audrey J. Gaskins, Leslie V. Farland, Kathryn L. Terry, and Stacey A. Missmer are with the Harvard T. H. Chan School of Public Health, and Brigham and Women's Hospital and Harvard Medical School, Boston, MA. Cuilin Zhang is with the Epidemiology Branch, Division of Intramural Population Health Research at the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Rockville, MD
| | - Leslie V Farland
- Jorge E. Chavarro, Janet W. Rich-Edwards, Audrey J. Gaskins, Leslie V. Farland, Kathryn L. Terry, and Stacey A. Missmer are with the Harvard T. H. Chan School of Public Health, and Brigham and Women's Hospital and Harvard Medical School, Boston, MA. Cuilin Zhang is with the Epidemiology Branch, Division of Intramural Population Health Research at the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Rockville, MD
| | - Kathryn L Terry
- Jorge E. Chavarro, Janet W. Rich-Edwards, Audrey J. Gaskins, Leslie V. Farland, Kathryn L. Terry, and Stacey A. Missmer are with the Harvard T. H. Chan School of Public Health, and Brigham and Women's Hospital and Harvard Medical School, Boston, MA. Cuilin Zhang is with the Epidemiology Branch, Division of Intramural Population Health Research at the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Rockville, MD
| | - Cuilin Zhang
- Jorge E. Chavarro, Janet W. Rich-Edwards, Audrey J. Gaskins, Leslie V. Farland, Kathryn L. Terry, and Stacey A. Missmer are with the Harvard T. H. Chan School of Public Health, and Brigham and Women's Hospital and Harvard Medical School, Boston, MA. Cuilin Zhang is with the Epidemiology Branch, Division of Intramural Population Health Research at the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Rockville, MD
| | - Stacey A Missmer
- Jorge E. Chavarro, Janet W. Rich-Edwards, Audrey J. Gaskins, Leslie V. Farland, Kathryn L. Terry, and Stacey A. Missmer are with the Harvard T. H. Chan School of Public Health, and Brigham and Women's Hospital and Harvard Medical School, Boston, MA. Cuilin Zhang is with the Epidemiology Branch, Division of Intramural Population Health Research at the Eunice Kennedy Shriver National Institute of Child Health and Human Development, Rockville, MD
| |
Collapse
|
27
|
Catov JM, Althouse AD, Lewis CE, Harville EW, Gunderson EP. Preterm Delivery and Metabolic Syndrome in Women Followed From Prepregnancy Through 25 Years Later. Obstet Gynecol 2016; 127:1127-1134. [PMID: 27159748 PMCID: PMC4879053 DOI: 10.1097/aog.0000000000001434] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
OBJECTIVE To investigate whether women who deliver preterm have excess risk for metabolic dysregulation independent of prepregnancy factors. METHODS We conducted a multicenter, longitudinal, observational study of 1,205 women (50% black) in the Coronary Artery Risk Development in Young Adults study with at least one birth between baseline (1985-1986) and year 25 and no metabolic syndrome or diabetes before pregnancy. Cardiometabolic factors were measured prepregnancy and at up to five subsequent examinations. We estimated the relative hazards of incident metabolic syndrome in women with one or more preterm births (less than 37 weeks of gestation, n=295) compared with only term births (37 weeks of gestation or greater, n=910). Self-reported gestational diabetes mellitus, hypertension during pregnancy, and time-dependent weight gain were also considered as covariates. RESULTS Of 315 cases of metabolic syndrome in 17,717 person-years of follow-up, the incidence rate was higher among women with preterm compared with term births (22.0 compared with 16.4 per 1,000 person-years; relative hazard 2.91 [95% confidence interval (CI) 2.75-3.09]). After adjustment for prepregnancy cardiometabolic factors and covariates, the relative hazard (95% CI) for metabolic syndrome was 1.52 (1.22-1.88) for women with preterm compared with term births. Gestational diabetes mellitus, hypertension during pregnancy, and weight gain only modestly attenuated this association. Elevated blood pressure (36.3% compared with 26.7%, P=.002) and central adiposity (51.5% compared with 44.0%, P=.02) were the individual metabolic syndrome components that were different in women with preterm compared with term births. CONCLUSION Women with a history of preterm birth have increased risk of incident metabolic syndrome compared with those with term births, independent of the prepregnancy metabolic status and pregnancy complications.
Collapse
Affiliation(s)
- Janet M. Catov
- Department of Obstetrics, Gynecology and Reproductive Sciences and Epidemiology, University of Pittsburgh School of Medicine and Graduate School of Public Health, Pittsburgh, PA
| | - Andrew D. Althouse
- Heart & Vascular Institute, Clinical Biostatistics Core, University of Pittsburgh Medical Center, Pittsburgh, PA
| | - Cora E. Lewis
- Division of Preventive Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL
| | - Emily W. Harville
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA
| | - Erica P. Gunderson
- Department of Research, Kaiser Permanente Northern California, Oakland, CA
| |
Collapse
|
28
|
Parets SE, Conneely KN, Kilaru V, Menon R, Smith AK. DNA methylation provides insight into intergenerational risk for preterm birth in African Americans. Epigenetics 2015; 10:784-92. [PMID: 26090903 DOI: 10.1080/15592294.2015.1062964] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
African Americans are at increased risk for spontaneous preterm birth (PTB). Though PTB is heritable, genetic studies have not identified variants that account for its intergenerational risk, prompting the hypothesis that epigenetic factors may also contribute. The objective of this study was to evaluate DNA methylation from maternal leukocytes to identify patterns specific to PTB and its intergenerational risk. DNA from peripheral leukocytes from African American women that delivered preterm (24-34 weeks; N = 16) or at term (39-41 weeks; N = 24) was assessed for DNA methylation using the HumanMethylation450 BeadChip. In maternal samples, 17,829 CpG sites associated with PTB, but no CpG site remained associated after correction for multiple comparisons. Examination of paired maternal-fetal samples identified 5,171 CpG sites in which methylation of maternal samples correlated with methylation of her respective fetus (FDR < 0.05). These correlated sites were enriched for association with PTB in maternal leukocytes. The majority of correlated CpG sites could be attributed to one or more genetic variants. They were also significantly more likely to be in genes involved in metabolic, cardiovascular, and immune pathways, suggesting a role for genetic and environmental contributions to PTB risk and chronic disease. The results of this study may provide insight into the factors underlying intergenerational risk for PTB and its consequences.
Collapse
Affiliation(s)
- Sasha E Parets
- a Genetics and Molecular Biology Program; Emory University ; Atlanta , GA USA
| | | | | | | | | |
Collapse
|
29
|
Ardisson Korat AV, Willett WC, Hu FB. Diet, lifestyle, and genetic risk factors for type 2 diabetes: a review from the Nurses' Health Study, Nurses' Health Study 2, and Health Professionals' Follow-up Study. Curr Nutr Rep 2014; 3:345-354. [PMID: 25599007 PMCID: PMC4295827 DOI: 10.1007/s13668-014-0103-5] [Citation(s) in RCA: 87] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The epidemiological evidence collected from three large US cohorts (Nurses' Health Study, Nurses' Health Study 2, and Health Professionals' Follow-up Study) has yielded important information regarding the roles of overall diet, individual foods and nutrients, physical activity and other lifestyle factors in the development of type 2 diabetes. Excess adiposity is a major risk factor for diabetes, and thus, maintaining a healthy body weight and avoidance of weight gain during adulthood is the cornerstone of diabetes prevention. Independent of body weight, the quality or type of dietary fat and carbohydrate is more crucial than the quantity in determining diabetes risk. Higher consumption of coffee, whole grains, fruits, and nuts is associated with lower risk of diabetes, whereas regular consumption of refined grains, red and processed meats, and sugar-sweetened beverages including fruits juices is associated with increased risk. Dietary patterns rich in fruits and vegetables, whole grains, and nuts and legumes but lower in red and processed meats, refined grains, and sugar-sweetened beverages are consistently associated with diabetes risk, even after adjustment for body mass index. The genome-wide association studies conducted in these cohorts have contributed substantially to the discoveries of novel genetic loci for type 2 diabetes and other metabolic traits, although the identified common variants explain only a small proportion of overall diabetes predisposition. Taken together, these ongoing large cohort studies have provided convincing epidemiologic evidence that a healthy diet, together with regular physical activity, maintenance of a healthy weight, moderate alcohol consumption, and avoidance of sedentary behaviors and smoking would prevent the majority of type 2 diabetes cases.
Collapse
Affiliation(s)
| | - Walter C Willett
- Departments of Nutrition and Epidemiology, Harvard School of Public Health. Boston, MA, USA, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School
| | - Frank B Hu
- Departments of Nutrition and Epidemiology, Harvard School of Public Health. Boston, MA, USA, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School
| |
Collapse
|
30
|
James-Todd T, Wise L, Boggs D, Rich-Edwards J, Rosenberg L, Palmer J. Preterm birth and subsequent risk of type 2 diabetes in black women. Epidemiology 2014; 25:805-10. [PMID: 25166879 PMCID: PMC4180791 DOI: 10.1097/ede.0000000000000167] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
BACKGROUND Gestational diabetes is a precursor to type 2 diabetes. Little is known about the relation of other common pregnancy complications, such as preterm birth, to risk of type 2 diabetes. METHODS We assessed preterm birth in relation to incident type 2 diabetes among 31,101 participants from the Black Women's Health Study. Preterm birth, defined as <37 weeks gestation, was reported at baseline (1995) and on subsequent biennial follow-up questionnaires. Self-reported type 2 diabetes diagnoses were ascertained on biennial questionnaires through 2009. We used Cox proportional hazards models to calculate incidence rate ratios (IRRs) and 95% confidence intervals (CIs), adjusting for potential confounders. RESULTS At baseline, 5162 participants (19%) reported a history of giving birth preterm, of which 16% occurred at <32 weeks gestation. A total of 3261 cases of type 2 diabetes were ascertained during follow-up. Ever having had a preterm birth was associated with a 20% increased risk (95% CI = 1.11-1.31) after adjusting for age at first birth, family history of diabetes, education, respondent having been born preterm, and body mass index. Gestational age <32 weeks was associated with the greatest risk (IRR = 1.27 [95% CI = 1.06-1.51]). Among women without a history of gestational diabetes, the IRR for type 2 diabetes among women who ever had a preterm birth was 1.17 (1.07-1.28). CONCLUSION Preterm birth was associated with an increased type 2 diabetes risk in black mothers, independent of gestational diabetes.
Collapse
Affiliation(s)
- Tamarra James-Todd
- Division of Women's Health, Department of Medicine, Connors Center for Women's Health and Gender Biology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02120
| | - Lauren Wise
- Slone Epidemiology Center at Boston University, Boston, MA 02215
| | - Deborah Boggs
- Slone Epidemiology Center at Boston University, Boston, MA 02215
| | - Janet Rich-Edwards
- Division of Women's Health, Department of Medicine, Connors Center for Women's Health and Gender Biology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02120
- Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115
| | - Lynn Rosenberg
- Slone Epidemiology Center at Boston University, Boston, MA 02215
| | - Julie Palmer
- Slone Epidemiology Center at Boston University, Boston, MA 02215
| |
Collapse
|
31
|
Alexander BT, Henry Dasinger J, Intapad S. Effect of low birth weight on women's health. Clin Ther 2014; 36:1913-1923. [PMID: 25064626 DOI: 10.1016/j.clinthera.2014.06.026] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2014] [Accepted: 06/19/2014] [Indexed: 01/13/2023]
Abstract
PURPOSE The theory of the developmental origins of health and disease hypothesizes that low birth weight (≤5.5 lb) indicative of poor fetal growth is associated with an increased risk of chronic, noncommunicable disease in later life, including hypertension, type 2 diabetes mellitus, and osteoporosis. Whether women are at greater risk than men is not clear. Experimental studies that mimic the cause of slow fetal growth are being used to examine the underlying mechanisms that link a poor fetal environment with later chronic disease and investigate how sex and age affect programmed risk. Thus, the aims of this review are to summarize the current literature related to the effect of low birth weight on women's health and provide insight into potential mechanisms that program increased risk of chronic disease across the lifespan. METHODS A search of PubMed was performed with the keywords low birth weight, women's health, female, and sex differences; additional terms included blood pressure, hypertension, renal, cardiovascular, obesity, glucose intolerance, type 2 diabetes, osteoporosis, bone health, reproductive senescence, menopause, and aging. FINDINGS The major chronic diseases associated with low birth weight include high blood pressure and cardiovascular disease, impaired glucose homeostasis and type 2 diabetes, impaired bone mass and osteoporosis, and early reproductive aging. IMPLICATIONS Low birth weight increases the risk of chronic disease in men and women. Low birth weight is also associated with increased risk of early menopause. Further studies are needed to fully address the effect of sex and age on the developmental programming of adult health and disease in women across their lifespan.
Collapse
Affiliation(s)
- Barbara T Alexander
- Department of Physiology and Biophysics and the Women's Health Research Center, University of Mississippi Medical Center, Jackson, Mississippi.
| | - John Henry Dasinger
- Department of Physiology and Biophysics and the Women's Health Research Center, University of Mississippi Medical Center, Jackson, Mississippi
| | - Suttira Intapad
- Department of Physiology and Biophysics and the Women's Health Research Center, University of Mississippi Medical Center, Jackson, Mississippi
| |
Collapse
|
32
|
Rich-Edwards JW, Fraser A, Lawlor DA, Catov JM. Pregnancy characteristics and women's future cardiovascular health: an underused opportunity to improve women's health? Epidemiol Rev 2013; 36:57-70. [PMID: 24025350 PMCID: PMC3873841 DOI: 10.1093/epirev/mxt006] [Citation(s) in RCA: 280] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/15/2013] [Indexed: 12/12/2022] Open
Abstract
Growing evidence indicates that women with a history of common pregnancy complications, including fetal growth restriction and preterm delivery (often combined as low birth weight), hypertensive disorders of pregnancy, and gestational diabetes, are at increased risk for cardiovascular disease later in life. The purpose of this paper was to review the associations of parity and these 4 pregnancy complications with cardiovascular morbidity and mortality; to review the role of cardiovascular risk factors before, during, and after pregnancy complications in explaining these associations; and to explore the implications of this emerging science for new research and policy. We systematically searched for relevant cohort and case-control studies in Medline through December 2012 and used citation searches for already published reviews to identify new studies. The findings of this review suggest consistent and often strong associations of pregnancy complications with latent and future cardiovascular disease. Many pregnancy complications appear to be preceded by subclinical vascular and metabolic dysfunction, suggesting that the complications may be useful markers of latent high-risk cardiovascular trajectories. With further replication research, these findings would support the utility of these prevalent pregnancy complications in identifying high-risk women for screening, prevention, and treatment of cardiovascular disease, the leading cause of morbidity and mortality among women.
Collapse
Affiliation(s)
- Janet W. Rich-Edwards
- Correspondence to Dr. Janet Rich-Edwards, 1620 Tremont Street, OBC-3.34, Boston, MA 02120 (e-mail: )
| | | | | | | |
Collapse
|