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Ouyang J, Lai Y, Wu L, Wang Y, Wu P, Ye YX, Yang X, Gao Y, Yuan J, Song X, Yan S, Lv C, Wang YX, Liu G, Hu Y, Pan A, Pan XF. Association between prepregnancy weight change and risk of gestational diabetes mellitus in Chinese pregnant women. Am J Clin Nutr 2023:S0002-9165(23)46845-1. [PMID: 37062367 DOI: 10.1016/j.ajcnut.2023.04.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 03/28/2023] [Accepted: 04/13/2023] [Indexed: 04/18/2023] Open
Abstract
BACKGROUND Evidence regarding prepregnancy weight change and gestational diabetes mellitus (GDM) is lacking among East Asian women. OBJECTIVE Our study aimed to investigate the association between weight change from age 18 years to pregnancy and GDM in Chinese pregnant women. METHODS Our analyses included 6972 pregnant women from the Tongji-Shuangliu Birth Cohort. Body weights were recalled for age 18 years and the time point immediately before pregnancy, while height was measured during early pregnancy. Prepregnancy weight change was calculated as the difference between weight immediately before pregnancy and weight at age 18 years. GDM outcomes were ascertained by 75-g oral glucose tolerance test. Multivariable logistic regression models were used to estimate the association between prepregnancy weight change and risk of GDM. RESULTS 501 (7.2%) developed GDM in the cohort. After multivariable adjustments, prepregnancy weight change was linearly associated with a higher risk of incident GDM (P < 0.001). Compared with participants with stable weight (weight change within 5.0 kg) before pregnancy, multivariable-adjusted odds ratios and 95% confidence intervals were 1.55 (1.22, 1.98) and 2.24 (1.78, 2.83) for participants with moderate (weight gain of 5-9.9 kg) and high (weight gain ≥ 10 kg) weight gain, respectively. In addition, overweight/obesity immediately before pregnancy mediated 17.6% and 31.7% of the associations of moderate and high weight gain with GDM risk, while weekly weight gain during pregnancy mediated 21.1% and 22.7% of the associations. CONCLUSIONS Weight gain from age 18 years to pregnancy was significantly associated with a higher risk of GDM. Maintaining weight stability, especially prevention of excessive weight gain from early adulthood to pregnancy could be a potential strategy to reduce GDM risk.
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Affiliation(s)
- Jing Ouyang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yuwei Lai
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Linjing Wu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yi Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Ping Wu
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yi-Xiang Ye
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xue Yang
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China; Section of Epidemiology and Population Health & Department of Obstetrics and Gynecology, Ministry of Education Key Laboratory of Birth Defects and Related Diseases of Women and Children & National Medical Products Administration Key Laboratory for Technical Research on Drug Products In Vitro and In Vivo Correlation, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Yanyu Gao
- Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 611731, China
| | - Jiaying Yuan
- Department of Science and Education, Shuangliu Maternal and Child Health Hospital, Chengdu 610200, China
| | - Xingyue Song
- Department of Emergency, Hainan Clinical Research Center for Acute and Critical Diseases, The Second Affiliated Hospital of Hainan Medical University, Haikou 571199, China
| | - Shijiao Yan
- School of Public Health, Hainan Medical University, Haikou 571199, China; Research Unit of Island Emergency Medicine, Chinese Academy of Medical Sciences, Hainan Medical University, Haikou 571199, China
| | - Chuanzhu Lv
- Research Unit of Island Emergency Medicine, Chinese Academy of Medical Sciences, Hainan Medical University, Haikou 571199, China; Emergency Medicine Center, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 610072, China; Key Laboratory of Emergency and Trauma of Ministry of Education, Hainan Medical University, Haikou 571199, China
| | - Yi-Xin Wang
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Gang Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yayi Hu
- Department of Obstetrics and Gynecology, Ministry of Education Key Laboratory of Birth Defects and Related Diseases of Women and Children, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - An Pan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
| | - Xiong-Fei Pan
- Section of Epidemiology and Population Health & Department of Obstetrics and Gynecology, Ministry of Education Key Laboratory of Birth Defects and Related Diseases of Women and Children & National Medical Products Administration Key Laboratory for Technical Research on Drug Products In Vitro and In Vivo Correlation, West China Second University Hospital, Sichuan University, Chengdu 610041, China; Shuangliu Institute of Women's and Children's Health, Shuangliu Maternal and Child Health Hospital, Chengdu 610200, China; Center for Epidemiology and Population Health, Integrated Traditional Chinese and Western Medicine Institute & Chengdu Integrated Traditional Chinese and Western Medicine Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu 610041, China.
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2
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Habibi N, Mousa A, Tay CT, Khomami MB, Patten RK, Andraweera PH, Wassie M, Vandersluys J, Aflatounian A, Bianco‐Miotto T, Zhou SJ, Grieger JA. Maternal metabolic factors and the association with gestational diabetes: A systematic review and meta-analysis. Diabetes Metab Res Rev 2022; 38:e3532. [PMID: 35421281 PMCID: PMC9540632 DOI: 10.1002/dmrr.3532] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 01/10/2022] [Accepted: 02/26/2022] [Indexed: 11/10/2022]
Abstract
Gestational diabetes (GDM) is associated with several adverse outcomes for the mother and child. Higher levels of individual lipids are associated with risk of GDM and metabolic syndrome (MetS), a clustering of risk factors also increases risk for GDM. Metabolic factors can be modified by diet and lifestyle. This review comprehensively evaluates the association between MetS and its components, measured in early pregnancy, and risk for GDM. Databases (Cumulative Index to Nursing and Allied Health Literature, PubMed, Embase, and Cochrane Library) were searched from inception to 5 May 2021. Eligible studies included ≥1 metabolic factor (waist circumference, blood pressure, fasting plasma glucose (FPG), triglycerides, and high-density lipoprotein cholesterol), measured at <16 weeks' gestation. At least two authors independently screened potentially eligible studies. Heterogeneity was quantified using I2 . Data were pooled by random-effects models and expressed as odds ratio and 95% confidence intervals (CIs). Of 7213 articles identified, 40 unique articles were included in meta-analysis. In analyses adjusting for maternal age and body mass index, GDM was increased with increasing FPG (odds ratios [OR] 1.92; 95% CI 1.39-2.64, k = 7 studies) or having MetS (OR 2.52; 1.65, 3.84, k = 3). Women with overweight (OR 2.17; 95% CI 1.89, 2.50, k = 12) or obesity (OR 4.34; 95% CI 2.79-6.74, k = 9) also were at increased risk for GDM. Early pregnancy assessment of glucose or the MetS, offers a potential opportunity to detect and treat individual risk factors as an approach towards GDM prevention; weight loss for pregnant women with overweight or obesity is not recommended. Systematic review registration: PROSPERO CRD42020199225.
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Affiliation(s)
- Nahal Habibi
- Robinson Research InstituteUniversity of AdelaideAdelaideSouth AustraliaAustralia
- Adelaide Medical SchoolUniversity of AdelaideAdelaideSouth AustraliaAustralia
| | - Aya Mousa
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash UniversityMelbourneVictoriaAustralia
| | - Chau Thien Tay
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash UniversityMelbourneVictoriaAustralia
| | - Mahnaz Bahri Khomami
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash UniversityMelbourneVictoriaAustralia
| | - Rhiannon K. Patten
- Institute for Health and SportVictoria UniversityMelbourneVictoriaAustralia
| | - Prabha H. Andraweera
- Robinson Research InstituteUniversity of AdelaideAdelaideSouth AustraliaAustralia
- Adelaide Medical SchoolUniversity of AdelaideAdelaideSouth AustraliaAustralia
- Department of Cardiology, Lyell McEwin HospitalElizabeth ValeSouth AustraliaAustralia
| | - Molla Wassie
- School of Agriculture, Food and Wine, and Waite Research Institute, University of AdelaideAdelaideSouth AustraliaAustralia
| | - Jared Vandersluys
- School of Agriculture, Food and Wine, and Waite Research Institute, University of AdelaideAdelaideSouth AustraliaAustralia
| | - Ali Aflatounian
- School of Women's and Children's Health, University of New South WalesSydneyNew South WalesAustralia
| | - Tina Bianco‐Miotto
- Robinson Research InstituteUniversity of AdelaideAdelaideSouth AustraliaAustralia
- School of Agriculture, Food and Wine, and Waite Research Institute, University of AdelaideAdelaideSouth AustraliaAustralia
| | - Shao J. Zhou
- Robinson Research InstituteUniversity of AdelaideAdelaideSouth AustraliaAustralia
- School of Agriculture, Food and Wine, and Waite Research Institute, University of AdelaideAdelaideSouth AustraliaAustralia
| | - Jessica A. Grieger
- Robinson Research InstituteUniversity of AdelaideAdelaideSouth AustraliaAustralia
- Adelaide Medical SchoolUniversity of AdelaideAdelaideSouth AustraliaAustralia
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3
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Song Z, Cheng Y, Li T, Fan Y, Zhang Q, Cheng H. Prediction of gestational diabetes mellitus by different obesity indices. BMC Pregnancy Childbirth 2022; 22:288. [PMID: 35387610 PMCID: PMC8988347 DOI: 10.1186/s12884-022-04615-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 03/21/2022] [Indexed: 11/18/2022] Open
Abstract
Background The incidence rates of obesity and gestational diabetes mellitus (GDM) are increasing in parallel. This study aimed to evaluate the relationship between different obesity indices, including prepregnancy body mass index (preBMI), the first-trimester abdominal circumference (AC), and first-trimester abdominal circumference/height ratio (ACHtR), and GDM, and the efficacy of these three indices in predicting GDM was assessed. Methods A total of 15,472 pregnant women gave birth to a singleton at the Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China. Prepregnancy weight was self-reported by study participants, body height and AC were measured by nurses at the first prenatal visit during weeks 11 to 13+6 of pregnancy. GDM was diagnosed through a 75-g oral glucose tolerance test at 24–28 gestational weeks. Using receiver operator characteristic (ROC) curve analysis, we evaluated the association between obesity indices and GDM. Results A total of 1912 women (12.4%) were diagnosed with GDM. Logistic regression analysis showed that AC, ACHtR, and preBMI (P < 0.001) were all independent risk factors for the development of GDM. In the normal BMI population, the higher the AC or ACHtR was, the more likely the pregnant woman was to develop GDM. The area under the ROC curve (AUC) was 0.63 (95% CI: 0.62–0.64) for the AC, 0.64 (95% CI: 0.62–0.65) for the ACHtR and 0.63 (95% CI: 0.62–0.64) for the preBMI. An AC ≥ 80.3 cm (sensitivity: 61.6%; specificity: 57.9%), an ACHtR of ≥ 0.49 (sensitivity: 67.3%; specificity: 54.0%), and a preBMI ≥ 22.7 (sensitivity: 48.4%; specificity: 71.8%) were determined to be the best cut-off levels for identifying subjects with GDM. Conclusions An increase in ACHtR may be an independent risk factor for GDM in the first trimester of pregnancy. Even in the normal BMI population, the higher the AC and ACHtR are, the more likely a pregnant woman is to develop GDM. AC, ACHtR in the first trimester and preBMI might be anthropometric indices for predicting GDM, but a single obesity index had limited predictive value for GDM.
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Affiliation(s)
- Zhimin Song
- Department of Gynecology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310006, People's Republic of China
| | - Yan Cheng
- Obstetrics and Gynecology Hospital, Fudan University, 128 Shenyang Road, Shanghai, 200090, People's Republic of China
| | - Tingting Li
- Obstetrics and Gynecology Hospital, Fudan University, 128 Shenyang Road, Shanghai, 200090, People's Republic of China
| | - Yongfang Fan
- Department of Gynecology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310006, People's Republic of China
| | - Qingying Zhang
- Obstetrics and Gynecology Hospital, Fudan University, 128 Shenyang Road, Shanghai, 200090, People's Republic of China
| | - Haidong Cheng
- Obstetrics and Gynecology Hospital, Fudan University, 128 Shenyang Road, Shanghai, 200090, People's Republic of China.
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Nagpal TS, Souza SCS, Moffat M, Hayes L, Nuyts T, Liu RH, Bogaerts A, Dervis S, Piccinini-Vallis H, Adamo KB, Heslehurst N. Does prepregnancy weight change have an effect on subsequent pregnancy health outcomes? A systematic review and meta-analysis. Obes Rev 2022; 23:e13324. [PMID: 34694053 DOI: 10.1111/obr.13324] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 06/25/2021] [Accepted: 07/05/2021] [Indexed: 11/26/2022]
Abstract
International guidelines recommend women with an overweight or obese body mass index (BMI) aim to reduce their body weight prior to conception to minimize the risk of adverse perinatal outcomes. Recent systematic reviews have demonstrated that interpregnancy weight gain increases women's risk of developing adverse pregnancy outcomes in their subsequent pregnancy. Interpregnancy weight change studies exclude nulliparous women. This systematic review and meta-analysis was conducted following MOOSE guidelines and summarizes the evidence of the impact of preconception and interpregnancy weight change on perinatal outcomes for women regardless of parity. Sixty one studies met the inclusion criteria for this review and reported 34 different outcomes. We identified a significantly increased risk of gestational diabetes (OR 1.88, 95% CI 1.66, 2.14, I2 = 87.8%), hypertensive disorders (OR 1.46 95% CI 1.12, 1.91, I2 = 94.9%), preeclampsia (OR 1.92 95% CI 1.55, 2.37, I2 = 93.6%), and large-for-gestational-age (OR 1.36, 95% CI 1.25, 1.49, I2 = 92.2%) with preconception and interpregnancy weight gain. Interpregnancy weight loss only was significantly associated with increased risk for small-for-gestational-age (OR 1.29 95% CI 1.11, 1.50, I2 = 89.9%) and preterm birth (OR 1.06 95% CI 1.00, 1.13, I2 = 22.4%). Our findings illustrate the need for effective preconception and interpregnancy weight management support to improve pregnancy outcomes in subsequent pregnancies.
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Affiliation(s)
- Taniya S Nagpal
- Faculty of Health Sciences, School of Human Kinetics, University of Ottawa, Ottawa, Canada
| | - Sara C S Souza
- Faculty of Health Sciences, School of Human Kinetics, University of Ottawa, Ottawa, Canada
| | - Malcolm Moffat
- Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, UK
| | - Louise Hayes
- Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, UK
| | - Tinne Nuyts
- Department of Development and Regeneration, Research Unit Woman and Child, KU Leuven, Leuven, Belgium
| | - Rebecca H Liu
- Institute for Health System Solutions & Virtual Care, Women's College Hospital, Toronto, Canada
| | - Annick Bogaerts
- Department of Development and Regeneration, Research Unit Woman and Child, KU Leuven, Leuven, Belgium.,Faculty of Medicine and Health Sciences, Centre for Research and Innovation in Care (CRIC), University of Antwerp, Antwerp, Belgium.,Faculty of Health, University of Plymouth, Plymouth, UK
| | - Sheila Dervis
- Faculty of Health Sciences, School of Human Kinetics, University of Ottawa, Ottawa, Canada
| | - Helena Piccinini-Vallis
- Faculty of Medicine, Departments of Family Medicine and Obstetrics and Gynecology, Dalhousie University, Halifax, Canada
| | - Kristi B Adamo
- Faculty of Health Sciences, School of Human Kinetics, University of Ottawa, Ottawa, Canada
| | - Nicola Heslehurst
- Population Health Sciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, UK
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Chodick G, Omer-Gilon M, Derazne E, Puris G, Rotem R, Tzur D, Pinhas-Hamiel O, Cukierman-Yaffe T, Shina A, Zucker I, Tirosh A, Afek A, Shalev V, Twig G. Adolescent body mass index and changes in pre-pregnancy body mass index in relation to risk of gestational diabetes. EClinicalMedicine 2021; 42:101211. [PMID: 34849479 PMCID: PMC8609013 DOI: 10.1016/j.eclinm.2021.101211] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 10/29/2021] [Accepted: 11/04/2021] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Pregestational excessive body mass index (BMI) is linked to an increased risk for gestational diabetes mellitus (GDM), but less is known on the effect of adolescent BMI on GDM occurrence. The study aimed to investigate possible associations of adolescent BMI and changes in BMI experienced before first pregnancy, with gestational diabetes risk. METHODS This retrospective study was based on linkage of a military screening database of adolescent health status (Israel Defence Forces) including measured height and weight, with medical records (Maccabi Healthcare Services, MHS) of a state-mandated health provider. The latter covers about 25% of the Israeli population; about 90% of pregnant women undergo screening by the two-step Carpenter-Coustan method. Adolescent BMI was categorized according to Center of Disease Control and Prevention percentiles. Only first documented pregnanies were analyzed and GDM was the outcome. FINDINGS Of 190,905 nulliparous women, 10,265 (5.4%) developed GDM. Incidence proportions of GDM were 5.1%, 6.1%, 7.3%, and 8.9% among women with adolescent normal BMI, underweight, overweight, and obesity (p<0.001), respectively. In models that accounted for age at pregnancy, birth year, and sociodemographic variables, the adjusted odd ratios (aORs) for developing GDM were: 1.2 (95%CI, 1.1-1.3), 1.5 (1.4-1.6), and 1.9 (1.7-2.1) for adolescent underweight, overweight, and obesity (reference group, normal BMI). Adolescent BMI tracked with BMI notes in the pre-pregnancy period (r=63%). Resuming normal pre-pregnancy BMI from overweight or obesity in adolescence diminished GDM risk, but this diminished risk was not observed among those who returned to a normal per-pre-pregnancy BMI from being underweight in adolescence. Sustained overweight or obesity conferred an aOR for developing GDM of 2.5 (2.2-2.7); weight gain from adolescent underweight and normal BMI to pre-pregnancy excessive BMI conferred aORs of 3.1 (1.6-6.2) and 2.6 (2.2-2.7), respectively. INTERPRETATION Change in BMI status from adolescence to pre-pregnancy may contribute to GDM risk. Identifying at-risk populations is important for early preventive interventions. FUNDING None.
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Affiliation(s)
- Gabriel Chodick
- Maccabitech Research Institute, Maccabi Healthcare Services, Tel Aviv, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Corresponding Authors: Gabriel Chodick, PhD, Maccabitech Research Institute, Maccabi Healthcare Services, Tel Aviv, Israel
| | - Maayan Omer-Gilon
- Department of Military Medicine, Hebrew University, Jerusalem and the Israel Defense Forces Medical Corps, Ramat Gan, Israel
| | - Estela Derazne
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Gal Puris
- Department of Military Medicine, Hebrew University, Jerusalem and the Israel Defense Forces Medical Corps, Ramat Gan, Israel
| | - Ran Rotem
- Maccabitech Research Institute, Maccabi Healthcare Services, Tel Aviv, Israel
- Department of Environmental Health, Harvard T H Chan School of Public Health, Boston, MA
| | - Dorit Tzur
- Department of Military Medicine, Hebrew University, Jerusalem and the Israel Defense Forces Medical Corps, Ramat Gan, Israel
| | - Orit Pinhas-Hamiel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Pediatric Endocrine and Diabetes Unit, Edmond and Lily Safra Children's Hospital, Institute of Endocrinology, Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel
| | - Tali Cukierman-Yaffe
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Chaim Sheba Medical Center at Tel Hashomer, Ramat Gan, Israel
| | - Avi Shina
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Department of Military Medicine, Hebrew University, Jerusalem and the Israel Defense Forces Medical Corps, Ramat Gan, Israel
| | - Inbar Zucker
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Israeli Ministry of Health, Jerusalem, Israel
| | - Amir Tirosh
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Chaim Sheba Medical Center at Tel Hashomer, Ramat Gan, Israel
| | - Arnon Afek
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Central Management, Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel
| | - Varda Shalev
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Gilad Twig
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
- Department of Military Medicine, Hebrew University, Jerusalem and the Israel Defense Forces Medical Corps, Ramat Gan, Israel
- Chaim Sheba Medical Center at Tel Hashomer, Ramat Gan, Israel
- Co-Corresponding Authors: Gilad Twig, M.D., MPH, Ph.D., Academy and Research Division, Surgeon General Headquarters, Israel Defense Forces, Ramat-Gan, Israel
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6
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Najafi F, Hasani J, Izadi N, Hashemi-Nazari SS, Namvar Z, Shamsi H, Erfanpoor S. Risk of gestational diabetes mellitus by pre-pregnancy body mass index: A systematic review and meta-analysis. Diabetes Metab Syndr 2021; 15:102181. [PMID: 34214900 DOI: 10.1016/j.dsx.2021.06.018] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 05/13/2021] [Accepted: 06/15/2021] [Indexed: 01/01/2023]
Abstract
Gestational diabetes mellitus (GDM) is serious health challenges. This study aimed at determining the risk of GDM among pregnant women by pre-pregnancy BMI. Five electronic databases including Medline (PubMed), Scopus, Embase, Web of Science and Google Scholar were searched for literature published form 2015 to January 1, 2021. The pooled estimate risk of GDM among pregnant women was 16.8% (95% CI: 15.3-18.4). The risk of GDM in underweight/normal group and overweight/obese group were 10.7% (95% CI: 9.1-12.4) and 23% (95% CI: 20.2-25.9), respectively. The risk of GDM is high among overweight/obese pregnant women.
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Affiliation(s)
- Farid Najafi
- Department of Epidemiology, Research Center for Environmental Determinants of Health (RCEDH), Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Jalil Hasani
- Kashmar School of Nursing, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Neda Izadi
- Student Research Committee, Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Seyed-Saeed Hashemi-Nazari
- Safety Promotion and Injury Prevention Research Center, Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Zahra Namvar
- Student Research Committee, Department of Environmental Health Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Hasan Shamsi
- Department of Physiotherapy, School of Rehabilitation, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Saeed Erfanpoor
- Department of Epidemiology, Iran University of Medical Sciences, Tehran, Iran
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7
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Schoenaker DAJM, de Jersey S, Willcox J, Francois ME, Wilkinson S. Prevention of Gestational Diabetes: The Role of Dietary Intake, Physical Activity, and Weight before, during, and between Pregnancies. Semin Reprod Med 2021; 38:352-365. [PMID: 33530118 DOI: 10.1055/s-0041-1723779] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Gestational diabetes mellitus (GDM) is the most common complication of pregnancy and a significant clinical and public health problem with lifelong and intergenerational adverse health consequences for mothers and their offspring. The preconception, early pregnancy, and interconception periods represent opportune windows to engage women in preventive and health promotion interventions. This review provides an overview of findings from observational and intervention studies on the role of diet, physical activity, and weight (change) during these periods in the primary prevention of GDM. Current evidence suggests that supporting women to increase physical activity and achieve appropriate weight gain during early pregnancy and enabling women to optimize their weight and health behaviors prior to and between pregnancies have the potential to reduce rates of GDM. Translation of current evidence into practice requires further development and evaluation of co-designed interventions across community, health service, and policy levels to determine how women can be reached and supported to optimize their health behaviors before, during, and between pregnancies to reduce GDM risk.
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Affiliation(s)
- Danielle A J M Schoenaker
- School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, United Kingdom.,NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom
| | - Susan de Jersey
- Department of Nutrition and Dietetics, Royal Brisbane and Women's Hospital, Metro North Hospital and Health Service, Brisbane, Queensland, Australia.,Centre for Clinical Research and Perinatal Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
| | - Jane Willcox
- School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, Victoria, Australia
| | - Monique E Francois
- School of Medicine, Faculty of Science Medicine and Health, University of Wollongong, Wollongong, New South Wales, Australia.,Illawarra Health and Medical Research Institute, Wollongong, New South Wales, Australia
| | - Shelley Wilkinson
- School of Human Movements and Nutrition Sciences, The University of Queensland, Brisbane, Queensland, Australia.,Mothers, Babies and Women's Theme, Mater Research Institute, The University of Queensland, Brisbane, Queensland, Australia
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8
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Martínez-Hortelano JA, Cavero-Redondo I, Álvarez-Bueno C, Díez-Fernández A, Hernández-Luengo M, Martínez-Vizcaíno V. Interpregnancy Weight Change and Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis. Obesity (Silver Spring) 2021; 29:454-464. [PMID: 33491318 DOI: 10.1002/oby.23083] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 10/29/2020] [Accepted: 11/09/2020] [Indexed: 11/10/2022]
Abstract
OBJECTIVE This study aimed to synthesize evidence regarding the association between interpregnancy weight change (IPWC) and gestational diabetes mellitus (GDM) in the subsequent pregnancy. METHODS MEDLINE, EMBASE, Cochrane Library, and Web of Science were searched from inception to May 10, 2020. This review included studies that reported the association between IPWC and GDM in the subsequent pregnancy without restriction on study design, IPWC classification, or parity. The "no weight change" interpregnancy category was defined by each study, and data were synthesized to analyze the risk of GDM according to weight change. RESULTS Thirteen observational studies were included. A higher risk of GDM in the subsequent pregnancy when there was interpregnancy weight gain (odds ratio [OR] = 1.56; 95% CI: 1.30-1.83; I2 = 82.30%) was found. However, interpregnancy weight loss was associated with lower risk of GDM in the subsequent pregnancy (OR = 0.83; 95% CI: 0.68-0.98; I2 = 58.10%), but the decrease in the risk of GDM in the subsequent pregnancy was greater among women with pregestational BMI higher than 25 kg/m2 (OR = 0.58; 95% CI: 0.39-0.77; I2 = 0.00%). CONCLUSIONS The risk of GDM in the subsequent pregnancy increases with interpregnancy weight gain, whereas it decreases with interpregnancy weight loss.
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Affiliation(s)
- Jose Alberto Martínez-Hortelano
- Centro de Estudios Socio-Sanitarios, Universidad de Castilla-La Mancha, Cuenca, Spain
- Department of Primary Care, Health Service of Madrid (SERMAS), Madrid, Spain
| | - Iván Cavero-Redondo
- Centro de Estudios Socio-Sanitarios, Universidad de Castilla-La Mancha, Cuenca, Spain
- Universidad Politécnica y Artística del Paraguay, Asuncion, Paraguay
| | - Celia Álvarez-Bueno
- Centro de Estudios Socio-Sanitarios, Universidad de Castilla-La Mancha, Cuenca, Spain
- Universidad Politécnica y Artística del Paraguay, Asuncion, Paraguay
| | - Ana Díez-Fernández
- Centro de Estudios Socio-Sanitarios, Universidad de Castilla-La Mancha, Cuenca, Spain
| | | | - Vicente Martínez-Vizcaíno
- Centro de Estudios Socio-Sanitarios, Universidad de Castilla-La Mancha, Cuenca, Spain
- Faculty of Health Sciences, Universidad Autónoma de Chile, Talca, Chile
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9
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Pedersen DC, Bjerregaard LG, Rasmussen KM, Nohr EA, Baker JL. Risk of gestational diabetes mellitus in nulliparous women - Associations with early life body size and change in body mass index from childhood to adulthood. Diabetes Res Clin Pract 2021; 171:108564. [PMID: 33271232 DOI: 10.1016/j.diabres.2020.108564] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 11/06/2020] [Accepted: 11/16/2020] [Indexed: 11/24/2022]
Abstract
AIMS We examined whether a woman's birthweight, childhood height, body mass index (BMI), and BMI changes from childhood to pregnancy were associated with risks of gestational diabetes mellitus (GDM). METHODS We studied 13,031 women from the Copenhagen School Health Records Register born 1959-1996 with birthweight and measured anthropometric information at ages 7 and/or 13. The diagnosis of GDM (n = 255) was obtained from a national health register. Risk ratios (RR) were estimated using log-linear binomial regression. RESULTS Own birthweight and childhood height were inversely associated with GDM. Girls with overweight at age 7 had a higher risk of GDM than girls with normal-weight (RR: 1.79, 95% CI: 1.31, 2.47). Compared to women with normal-weight in childhood and adulthood, risks of GDM were higher in women who developed overweight from age 7 to pregnancy (RR: 4.62; 3.48, 6.14) or had overweight at both times (RR: 4.71; 3.24, 6.85). In women whose BMI normalized from age 7 to pregnancy the RR for GDM was 1.08 (0.47, 2.46). CONCLUSIONS Lower birthweight, shorter childhood height, and higher childhood BMI are associated with increased risks of GDM. Efforts to help girls maintain a normal BMI before pregnancy may be warranted to minimize risks of GDM.
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Affiliation(s)
- Dorthe C Pedersen
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark
| | - Lise G Bjerregaard
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark
| | | | - Ellen A Nohr
- Research Unit of Obstetrics and Gynecology, Institute of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Jennifer L Baker
- Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark.
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10
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Brown WJ, Flores TR, Keating SE, Mielke GI. Trajectories and determinants of weight gain in two cohorts of young adult women born 16 years apart. Int J Obes (Lond) 2021; 45:1553-1564. [PMID: 33941842 PMCID: PMC8090508 DOI: 10.1038/s41366-021-00819-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 03/07/2021] [Accepted: 04/09/2021] [Indexed: 02/03/2023]
Abstract
BACKGROUND The aims were to compare: (1) baseline weights and weight gain trajectories; (2) sociodemographic, behavioural and health characteristics driving weight gain; and (3) estimated average weight in 20 years' time, in two cohorts of young women. METHODS Data were from 16066 participants in two population-based cohorts of young adult women, born in 1973-78 ("GenX") and 1989-95 ("millennials"). Weight was reported at baseline (age 18-23 in both cohorts) and 4 years later. High weight gain was defined as >2.5% per year. Data were analysed in 2020. RESULTS Women born in 1989-95 were almost 4 kg heavier at age 18-23 and gained weight over 4 years 1.7 times faster than those born in 1973-78. Prevalence of high weight gain was 34.2% in the 1989-95 cohort and 24% in the 1973-78 cohort. In both cohorts, older age, higher education and high physical activity were associated with lower odds of high weight gain, and more hours in paid work, poorer self-rated health and higher baseline BMI were associated with higher odds of high weight gain. Five factors (outer regional areas, one child, ex or current smoker, high stress and depression) were determinants of high weight gain in the 1989-95 cohort, but not in the 1973-78 cohort. Based on average weight at age 21 and annual percentage weight gain, we estimate that women born in 1989-95 will, on average, be 16.7 kg heavier at age 41 (93.2 kg), than women in the 1973-78 cohort (76.5 kg). CONCLUSION High weight gain was evident in every sociodemographic group in both cohorts but most evident in millennial women with high levels of stress and depression. Without effective weight gain prevention strategies we estimate that more than 50% of the millennial women will be in the obese BMI category in 20 years. This will have serious economic, health and societal consequences.
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Affiliation(s)
- Wendy J. Brown
- grid.1003.20000 0000 9320 7537Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, QLD Australia
| | - Thaynã R. Flores
- grid.411221.50000 0001 2134 6519Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - Shelley E. Keating
- grid.1003.20000 0000 9320 7537Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, QLD Australia
| | - Gregore I. Mielke
- grid.1003.20000 0000 9320 7537Centre for Research on Exercise, Physical Activity and Health, School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, QLD Australia
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11
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Vesentini G, Barbosa AMP, Floriano JF, Felisbino SL, Costa SMB, Piculo F, Marini G, Nunes SK, Reyes DRA, Marcondes JPC, Hallur RLS, Rozza AL, Magalhães CG, Costa R, Abbade JF, Corrente JE, Calderon IMP, Matheus SMM, Rudge MVC. Deleterious effects of gestational diabetes mellitus on the characteristics of the rectus abdominis muscle associated with pregnancy-specific urinary incontinence. Diabetes Res Clin Pract 2020; 166:108315. [PMID: 32679058 DOI: 10.1016/j.diabres.2020.108315] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Revised: 06/05/2020] [Accepted: 07/07/2020] [Indexed: 12/15/2022]
Abstract
AIMS To evaluate the effects of gestational diabetes mellitus (GDM) on the structural characteristics of the rectus abdominis muscle (RAM) and its indirect effects on pregnancy-specific urinary incontinence (PSUI). METHODS A total of 92 pregnant women were divided into four groups, according to their clinical conditions: non-GDM continent, non-GDM associated PSUI, GDM continent and GDM associated PSUI. The muscle morphometry (histochemistry and immunohistochemistry) for the fiber types and collagen fiber distribution, the ultrastructural analysis (transmission electron microscopy), the protein expression of fiber types and calcium signaling (Western blotting), and the content of types I and III collagen fiber (ELISA) in RAM collected at delivery were assessed. RESULTS The GDM groups presented a significantly increased number of slow fibers and slow-twitch oxidative fiber expression; decreased fiber area, number of fast fibers, and area of collagen; an increase in central nuclei; ultrastructural alterations with focal lesion areas such as myeloid structures, sarcomere disorganization, and mitochondrial alteration. The PSUI groups presented a considerable decrease in types I and III collagen contents and the localization of collagen fiber. CONCLUSIONS Our data reveal that GDM causes morphological, biochemical and physiological changes in the RAM, and this might predispose women to PSUI.
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Affiliation(s)
- Giovana Vesentini
- Perinatal Diabetes Research Center, University Hospital, Botucatu Medical School, Univ Estadual Paulista_UNESP, São Paulo State, Brazil; São Paulo State University (UNESP), Botucatu Medical School, Department of Gynecology and Obstetrics, Botucatu, Sao Paulo, Brazil
| | - Angélica M P Barbosa
- São Paulo State University (UNESP), School of Philosophy and Sciences, Department of Physical Therapy and Occupational Therapy, Marilia, São Paulo State, Brazil
| | - Juliana F Floriano
- Perinatal Diabetes Research Center, University Hospital, Botucatu Medical School, Univ Estadual Paulista_UNESP, São Paulo State, Brazil; São Paulo State University (UNESP), Botucatu Medical School, Department of Gynecology and Obstetrics, Botucatu, Sao Paulo, Brazil
| | - Sérgio L Felisbino
- São Paulo State University (UNESP), Institute of Biosciences, Department of Morphology, Botucatu, São Paulo State, Brazil
| | - Sarah M B Costa
- Perinatal Diabetes Research Center, University Hospital, Botucatu Medical School, Univ Estadual Paulista_UNESP, São Paulo State, Brazil; São Paulo State University (UNESP), Botucatu Medical School, Department of Gynecology and Obstetrics, Botucatu, Sao Paulo, Brazil
| | - Fernanda Piculo
- Perinatal Diabetes Research Center, University Hospital, Botucatu Medical School, Univ Estadual Paulista_UNESP, São Paulo State, Brazil; São Paulo State University (UNESP), Botucatu Medical School, Department of Gynecology and Obstetrics, Botucatu, Sao Paulo, Brazil
| | - Gabriela Marini
- Perinatal Diabetes Research Center, University Hospital, Botucatu Medical School, Univ Estadual Paulista_UNESP, São Paulo State, Brazil; São Paulo State University (UNESP), Botucatu Medical School, Department of Gynecology and Obstetrics, Botucatu, Sao Paulo, Brazil; Universidade Sagrado Coração, Department of Health Sciences, Bauru, São Paulo, Brazil
| | - Sthefanie K Nunes
- Perinatal Diabetes Research Center, University Hospital, Botucatu Medical School, Univ Estadual Paulista_UNESP, São Paulo State, Brazil; São Paulo State University (UNESP), Botucatu Medical School, Department of Gynecology and Obstetrics, Botucatu, Sao Paulo, Brazil
| | - David R A Reyes
- Perinatal Diabetes Research Center, University Hospital, Botucatu Medical School, Univ Estadual Paulista_UNESP, São Paulo State, Brazil; São Paulo State University (UNESP), Botucatu Medical School, Department of Gynecology and Obstetrics, Botucatu, Sao Paulo, Brazil
| | - João P C Marcondes
- Perinatal Diabetes Research Center, University Hospital, Botucatu Medical School, Univ Estadual Paulista_UNESP, São Paulo State, Brazil; São Paulo State University (UNESP), Botucatu Medical School, Department of Gynecology and Obstetrics, Botucatu, Sao Paulo, Brazil
| | - Raghavendra L S Hallur
- Perinatal Diabetes Research Center, University Hospital, Botucatu Medical School, Univ Estadual Paulista_UNESP, São Paulo State, Brazil; São Paulo State University (UNESP), Botucatu Medical School, Department of Gynecology and Obstetrics, Botucatu, Sao Paulo, Brazil
| | - Ariane L Rozza
- São Paulo State University (UNESP), Institute of Biosciences, Department of Morphology, Botucatu, São Paulo State, Brazil
| | - Cláudia G Magalhães
- Perinatal Diabetes Research Center, University Hospital, Botucatu Medical School, Univ Estadual Paulista_UNESP, São Paulo State, Brazil; São Paulo State University (UNESP), Botucatu Medical School, Department of Gynecology and Obstetrics, Botucatu, Sao Paulo, Brazil
| | - Roberto Costa
- Perinatal Diabetes Research Center, University Hospital, Botucatu Medical School, Univ Estadual Paulista_UNESP, São Paulo State, Brazil; São Paulo State University (UNESP), Botucatu Medical School, Department of Gynecology and Obstetrics, Botucatu, Sao Paulo, Brazil
| | - Joelcio F Abbade
- Perinatal Diabetes Research Center, University Hospital, Botucatu Medical School, Univ Estadual Paulista_UNESP, São Paulo State, Brazil; São Paulo State University (UNESP), Botucatu Medical School, Department of Gynecology and Obstetrics, Botucatu, Sao Paulo, Brazil
| | - José E Corrente
- São Paulo State University (UNESP), Institute of Biosciences, Biostatistics Department, Botucatu, São Paulo, Brazil
| | - Iracema M P Calderon
- Perinatal Diabetes Research Center, University Hospital, Botucatu Medical School, Univ Estadual Paulista_UNESP, São Paulo State, Brazil; São Paulo State University (UNESP), Botucatu Medical School, Department of Gynecology and Obstetrics, Botucatu, Sao Paulo, Brazil
| | - Selma M M Matheus
- São Paulo State University (UNESP), Institute of Biosciences, Department of Anatomy, Botucatu, São Paulo State, Brazil
| | - Marilza V C Rudge
- Perinatal Diabetes Research Center, University Hospital, Botucatu Medical School, Univ Estadual Paulista_UNESP, São Paulo State, Brazil; São Paulo State University (UNESP), Botucatu Medical School, Department of Gynecology and Obstetrics, Botucatu, Sao Paulo, Brazil.
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12
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Zhang YZ, Zhou L, Tian L, Li X, Zhang G, Qin JY, Zhang DD, Fang H. A mid-pregnancy risk prediction model for gestational diabetes mellitus based on the maternal status in combination with ultrasound and serological findings. Exp Ther Med 2020; 20:293-300. [PMID: 32536997 PMCID: PMC7282073 DOI: 10.3892/etm.2020.8690] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Accepted: 02/28/2020] [Indexed: 12/11/2022] Open
Abstract
Although previous studies have proposed predictive models of gestational diabetes mellitus (GDM) based on maternal status, they do not always provide reliable results. The present study aimed to create a novel model that included ultrasound data of maternal fat distribution and serum inflammatory factors. The clinical data of 1,158 pregnant women treated at Tangshan Gongren Hospital and eight other flagship hospitals in Tangshan, including the First Hospital of Tangshan Gongren Hospital group, Ninth Hospital of Tangshan Gongren Hospital group, Tangshan Gongren Hospital group rehabilitation hospital, Tangshan railway central hospital, Tangshan Gongren Hospital group Fengnan hospital, Tangshan Gongren Hospital group Qianan Yanshan hospital, Tangshan Gongren Hospital group Qianxi Kangli hospital and Tangshan Gongren Hospital group Jidong Sub-hospital, were analyzed following the division of subjects into GDM and non-GDM groups according to their diagnostic results at 24-28 weeks of pregnancy. Univariate analysis was performed to investigate the significance of the maternal clinical parameters for GDM diagnosis and a GDM prediction model was established using stepwise regression analysis. The predictive value of the model was evaluated using a Homer-Lemeshow goodness-of-fit test and a receiver operating characteristic curve (ROC). The model demonstrated that age, pre-pregnancy body mass index, a family history of diabetes mellitus, polycystic ovary syndrome, a history of GDM, high systolic pressures, glycosylated hemoglobin levels, triglyceride levels, total cholesterol levels, low-density lipoprotein cholesterol levels, serum hypersensitive C-reactive protein, increased subcutaneous fat thickness and visceral fat thickness were all correlated with an increased GDM risk (all P<0.01). The area under the curve value was 0.911 (95% CI, 0.893-0.930). Overall, the results indicated that the current model, which included ultrasound and serological data, may be a more effective predictor of GDM compared with other single predictor models. In conclusion, the present study developed a tool to determine the risk of GDM in pregnant women during the second trimester. This prediction model, based on various risk factors, demonstrated a high predictive value for the GDM occurrence in pregnant women in China and may prove useful in guiding future clinical practice.
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Affiliation(s)
- Ya-Zhong Zhang
- Department of Endocrinology, Tangshan Gongren Hospital, Tangshan, Hebei 063000, P.R. China
| | - Lei Zhou
- Department of Endocrinology, Tangshan Gongren Hospital, Tangshan, Hebei 063000, P.R. China
| | - Luobing Tian
- Department of Endocrinology, Tangshan Gongren Hospital, Tangshan, Hebei 063000, P.R. China
| | - Xin Li
- Department of Imaging, Tangshan Gongren Hospital, Tangshan, Hebei 063000, P.R. China
| | - Guyue Zhang
- Department of Endocrinology, Tangshan Gongren Hospital, Tangshan, Hebei 063000, P.R. China
| | - Jiang-Yuan Qin
- Department of Endocrinology, Tangshan Gongren Hospital, Tangshan, Hebei 063000, P.R. China
| | - Dan-Dan Zhang
- Department of Endocrinology, Tangshan Gongren Hospital, Tangshan, Hebei 063000, P.R. China
| | - Hui Fang
- Department of Endocrinology, Tangshan Gongren Hospital, Tangshan, Hebei 063000, P.R. China
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13
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Xie K, Xu P, Fu Z, Gu X, Li H, Cui X, You L, Zhu L, Ji C, Guo X. Association of maternal folate status in the second trimester of pregnancy with the risk of gestational diabetes mellitus. Food Sci Nutr 2019; 7:3759-3765. [PMID: 31763025 PMCID: PMC6848811 DOI: 10.1002/fsn3.1235] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Revised: 08/18/2019] [Accepted: 08/23/2019] [Indexed: 12/17/2022] Open
Abstract
Interest in the high folate status of pregnant women has increased due to its role in the prevention of neural tube defects (NTDs). The effect of increased red blood cell (RBC) folate status during the second trimester of pregnancy on gestational diabetes mellitus (GDM) remains unclear. We measured RBC folate concentrations by competitive protein-binding assay and obtained clinical information from electronic medical records. Logistic regression analysis was used to explore the associations of RBC folate concentrations with risks of gestational diabetes mellitus (GDM). We further assessed the potential nonlinear relations between continuous log-transformed RBC folate concentrations and GDM risk by using the restricted cubic splines. We observed high RBC folate concentrations in GDM patients compared to control group [median (interquartile range, IQR), GDM vs. controls: 1,554.03 (1,240.54-1,949.99) vs. 1,478.83 (1,124.60-1,865.71) nmol/L, p = .001]. Notably, high folate concentrations were significantly associated with an increased risk of GDM [RR per 1-SD increase: 1.16 (1.03, 1.30), p = .012] after adjustment for maternal age, parity, and body mass index (BMI) at enrollment. In the restricted cubic spline model, a test of the null hypothesis of the linear relationship was rejected (p = .001). Our study firstly showed that maternal RBC folate concentrations during the second trimester of pregnancy increase the risk of GDM in a Chinese population. Further randomized clinical trials (RCTs) are warranted to confirm the adverse effect.
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Affiliation(s)
- Kaipeng Xie
- Women's Hospital of Nanjing Medical UniversityThe Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical UniversityNanjing Maternity and Child Health Care HospitalNanjingChina
| | - Pengfei Xu
- Women's Hospital of Nanjing Medical UniversityThe Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical UniversityNanjing Maternity and Child Health Care HospitalNanjingChina
| | - Ziyi Fu
- Women's Hospital of Nanjing Medical UniversityThe Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical UniversityNanjing Maternity and Child Health Care HospitalNanjingChina
| | - Xiaohong Gu
- Women's Hospital of Nanjing Medical UniversityThe Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical UniversityNanjing Maternity and Child Health Care HospitalNanjingChina
| | - Hui Li
- Women's Hospital of Nanjing Medical UniversityThe Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical UniversityNanjing Maternity and Child Health Care HospitalNanjingChina
| | - Xianwei Cui
- Women's Hospital of Nanjing Medical UniversityThe Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical UniversityNanjing Maternity and Child Health Care HospitalNanjingChina
| | - Lianghui You
- Women's Hospital of Nanjing Medical UniversityThe Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical UniversityNanjing Maternity and Child Health Care HospitalNanjingChina
| | - Lijun Zhu
- Women's Hospital of Nanjing Medical UniversityThe Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical UniversityNanjing Maternity and Child Health Care HospitalNanjingChina
| | - Chenbo Ji
- Women's Hospital of Nanjing Medical UniversityThe Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical UniversityNanjing Maternity and Child Health Care HospitalNanjingChina
| | - Xirong Guo
- Women's Hospital of Nanjing Medical UniversityThe Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical UniversityNanjing Maternity and Child Health Care HospitalNanjingChina
- Tongren HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
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14
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Vézina-Im LA, Nicklas TA, Baranowski T. Intergenerational Effects of Health Issues Among Women of Childbearing Age: a Review of the Recent Literature. Curr Nutr Rep 2019; 7:274-285. [PMID: 30259413 DOI: 10.1007/s13668-018-0246-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
PURPOSE OF REVIEW This review summarizes the latest scientific evidence, primarily from systematic reviews/meta-analyses and large cohort studies, on the impact of health issues among women of childbearing age and their effect on their offspring during pregnancy and from birth to adulthood. RECENT FINDINGS Women of childbearing age with overweight/obesity, diabetes, and hypertension prior to pregnancy are at increased risk for adverse outcomes during pregnancy, such as excessive gestational weight gain, gestational diabetes mellitus, and hypertensive disorders of pregnancy. These adverse outcomes could complicate delivery and put their offspring at risk of developing overweight/obesity, diabetes, and hypertension (i.e., intergenerational transmission of health issues). Interventions should target women of childbearing age, especially those who wish to conceive, in order to possibly stop the transmission of women's health issues to the offspring and favor a healthy pregnancy from the start. This could be one of the best strategies to promote both maternal and child health.
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Affiliation(s)
- Lydi-Anne Vézina-Im
- Children's Nutrition Research Center, Baylor College of Medicine, 1100 Bates Street, Houston, TX, 77030, USA.
| | - Theresa A Nicklas
- Children's Nutrition Research Center, Baylor College of Medicine, 1100 Bates Street, Houston, TX, 77030, USA
| | - Tom Baranowski
- Children's Nutrition Research Center, Baylor College of Medicine, 1100 Bates Street, Houston, TX, 77030, USA
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15
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Najafi F, Hasani J, Izadi N, Hashemi-Nazari SS, Namvar Z, Mohammadi S, Sadeghi M. The effect of prepregnancy body mass index on the risk of gestational diabetes mellitus: A systematic review and dose-response meta-analysis. Obes Rev 2019; 20:472-486. [PMID: 30536891 DOI: 10.1111/obr.12803] [Citation(s) in RCA: 82] [Impact Index Per Article: 16.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Revised: 10/10/2018] [Accepted: 10/11/2018] [Indexed: 12/16/2022]
Abstract
This study was conducted to investigate the effect of the prepregnancy BMI on the risk of gestational diabetes mellitus (GDM). Five electronic databases, including PubMed, Scopus, Embase, Web of Science, and Google Scholar, were searched for literature published until 1 January 2018. The two-stage, random effect meta-analysis was performed to compare the dose-response relationship between BMI and GDM. As well as studies with categorized BMI, studies that treat BMI as a continuous variable were analysed. A total of 33 observational studies with an overall sample size of 962 966 women and 42 211 patients with GDM were included in analysis. The pooled estimate of GDM risk in the underweight, overweight, and obese pregnant women was 0.68, 2.01, and 3.98 using the adjusted OR and 0.34, 1.52, and 2.24 using the adjusted RR. The GDM risk increased 4% per unit of increase in BMI with both the crude and adjusted OR/RR models. Also, the risk of GDM increased 19% with the crude model and 14% with the adjusted model. The existence of dose-response relationship between the pre-pregnancy BMI and GDM can strengthen the scientific background for vigorous public health interventions for the control of pre-pregnancy BMI as well as the weight gain during pregnancy.
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Affiliation(s)
- Farid Najafi
- Department of Epidemiology, Research Center for Environmental Determinants of Health (RCEDH), Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Jalil Hasani
- Torbat Jam Faculty of Medical Sciences, Torbat Jam, Iran
| | - Neda Izadi
- Student Research Committee, Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Seyed-Saeed Hashemi-Nazari
- Safety Promotion and Injury Prevention Research Center, Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Zahra Namvar
- Student Research Committee, Department of Environmental Health Engineering, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Samira Mohammadi
- Health Education and Health Promotion, Social Development & Health Promotion Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Masoud Sadeghi
- Medical Biology Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
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16
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Larson N, Chen Y, Wall M, Winkler MR, Goldschmidt AB, Neumark-Sztainer D. Personal, behavioral, and environmental predictors of healthy weight maintenance during the transition to adulthood. Prev Med 2018; 113:80-90. [PMID: 29727637 PMCID: PMC6319368 DOI: 10.1016/j.ypmed.2018.04.027] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2017] [Revised: 04/19/2018] [Accepted: 04/28/2018] [Indexed: 11/19/2022]
Abstract
There is a high prevalence of overweight among U.S. young adults and the intergenerational implications of excess weight gain at this life stage are great. We used Project EAT (Eating and Activity in Teens and Young Adults) study data to identify personal, behavioral, and environmental factors that predicted healthy weight maintenance during the transition from adolescence to adulthood and as individuals progressed from the third to fourth decade of life. The sample included 1120 young adults who were secondary school students in Minneapolis-St. Paul at Time 1 (1998-1999) and responded at follow-ups in 2008-2009 and 2015-2016. Results showed individual factors and multiple environmental factors contribute to maintenance. The most consistent findings suggest that having higher body satisfaction and avoiding unhealthy weight control behaviors (e.g., skipping meals) and dieting are protective against excess weight gain for women and men. For example, the odds ratio associated with a one standard deviation increase in the probability of using an extreme weight control behavior from adolescence and adulthood was 0.67 (CI: 0.54, 0.84) among women and 0.34 (CI: 0.12, 0.96) among men indicating decreased odds of maintaining a healthy weight. Social support for healthy eating and physical activity were protective whereas close relationships with individuals who were dieting (e.g., parents, significant others) reduced the likelihood of maintaining a healthy weight. Primary prevention strategies should continue beyond adolescence and involve peer social support to encourage young people at a healthy weight to be satisfied with their shape/size and avoid restrictive weight control behaviors.
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Affiliation(s)
- Nicole Larson
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, 1300 South Second Street, Suite 300, Minneapolis, MN 55454, United States.
| | - Ying Chen
- Division of Biostatistics in the Department of Psychiatry, Department of Biostatistics in the Mailman School of Public Health, Columbia University, 1051 Riverside Drive, New York, NY 10032, United States.
| | - Melanie Wall
- Division of Biostatistics in the Department of Psychiatry, Department of Biostatistics in the Mailman School of Public Health, Columbia University, 1051 Riverside Drive, New York, NY 10032, United States.
| | - Megan R Winkler
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, 1300 South Second Street, Suite 300, Minneapolis, MN 55454, United States.
| | - Andrea B Goldschmidt
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, The Miriam Hospital/Weight Control and Diabetes Research Center, 196 Richmond Street, Providence, RI 02903, United States.
| | - Dianne Neumark-Sztainer
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, 1300 South Second Street, Suite 300, Minneapolis, MN 55454, United States.
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17
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Chiou YL, Hung CH, Liao HY. The Impact of Prepregnancy Body Mass Index and Gestational Weight Gain on Perinatal Outcomes for Women With Gestational Diabetes Mellitus. Worldviews Evid Based Nurs 2018; 15:313-322. [PMID: 29962105 DOI: 10.1111/wvn.12305] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/08/2018] [Indexed: 12/14/2022]
Abstract
BACKGROUND Gestational diabetes mellitus (GDM), an obstetric disease that affects the health of pregnant women, is one of the key factors associated with perinatal mortality or disease. AIMS To explore the impact of prepregnancy body mass index (BMI) and gestational weight gain (GWG) on perinatal outcomes for women with GDM. METHODS With a retrospective study design, women were recruited who received prenatal checkups, gave birth at two teaching hospitals in southern Taiwan from 1995 to 2011, and received a diagnosis of GDM by an obstetrician. A trained research assistant collected the participants' data in each hospital's archives room. The researcher used a retrospective case study method to identify women who received a GDM diagnosis between 1995 and 2011. RESULTS Women with GDM and with an overweight prepregnancy BMI were more likely to have cesarean deliveries and to use glucose-lowering medicines after delivery. Their newborns also had a higher birth weight. In addition, gestational hypertension and cesarean delivery were more common in women with GDM and with excessive GWG than in women with GDM and with normal GWG. The newborns of women with GDM and with excessive GWG had higher birth weights and more nuchal cord than those of women with GDM and with normal GWG. More women with GDM and with excessive GWG underwent blood glucose monitoring than did women with GDM and with normal GWG. LINKING EVIDENCE TO ACTION The prepregnancy weight and GWG significantly affected perinatal outcomes in both the women with GDM themselves and their newborns. Healthcare professionals must provide childbearing women with additional health education in the areas of health promotion, nutrition, weight control, exercise, and maintaining regular everyday lives.
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Affiliation(s)
- Yi-Ling Chiou
- School of Nursing, Department of Midwifery and Maternal-Infant Health Care, Fooyin University, Kaohsiung, Taiwan.,School of Nursing, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chich-Hsiu Hung
- School of Nursing, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Hsiu-Yun Liao
- School of Nursing, Kaohsiung Medical University, Kaohsiung, Taiwan
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18
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Laine MK, Kautiainen H, Gissler M, Raina M, Aahos I, Järvinen K, Pennanen P, Eriksson JG. Gestational diabetes in primiparous women-impact of age and adiposity: a register-based cohort study. Acta Obstet Gynecol Scand 2017; 97:187-194. [PMID: 29194561 DOI: 10.1111/aogs.13271] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2017] [Accepted: 11/25/2017] [Indexed: 01/08/2023]
Abstract
INTRODUCTION Data on risk factors for gestational diabetes mellitus (GDM) in primiparous women is limited. The aim of this study was to assess the prevalence of GDM and simultaneously evaluate the impact of age and adiposity in primiparous women at risk of GDM risk. MATERIAL AND METHODS This observational register-based cohort study from the city of Vantaa, Finland, included all 7750 primiparous women giving birth between 2009 and 2015 without previously diagnosed diabetes mellitus. RESULTS In primiparous women the prevalence of GDM was 16.5% and mean age was 28.2 years (5.2 SD). Primiparous women aged ≥35 years had a significantly higher risk for GDM than women aged <25 years [odds ratio (OR) 2.67, 95% confidence interval (CI) 2.13-3.34]. Primiparous women with a pre-pregnancy body mass index (BMI) ≥30.0 kg/m2 had a significantly higher risk for GDM than women with a pre-pregnancy BMI <25 kg/m2 (OR 5.36, 95% CI 4.53-6.36). The risk of developing GDM showed an increasing trend with increasing age in all BMI categories except the category BMI ≥35 kg/m2 . Normal weight women (BMI 20.0-24.9 kg/m2 ) aged 40 years had a significantly higher risk for GDM than normal weight women aged 28 years (OR 1.48, 95% CI 1.01-2.19). CONCLUSIONS The prevalence of GDM is high in primiparous women. Both age and degree of adiposity influenced the risk for GDM. To reduce GDM risk, adiposity should be prevented already in childhood and primiparity should be encouraged at a younger age.
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Affiliation(s)
- Merja K Laine
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Vantaa Health Center, Vantaa, Finland
| | - Hannu Kautiainen
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Primary Health Care Unit, Kuopio University Hospital, Kuopio, Finland.,Folkhälsan Research Center, Helsinki, Finland
| | - Mika Gissler
- National Institute for Health and Welfare, Helsinki, Finland.,Karolinska Institute, Stockholm, Sweden
| | - Marko Raina
- Vantaa Health Center, Vantaa, Finland.,Apotti, Helsinki, Finland
| | | | | | | | - Johan G Eriksson
- Department of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Folkhälsan Research Center, Helsinki, Finland.,National Institute for Health and Welfare, Helsinki, Finland.,Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
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19
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VEJRAZKOVA D, VANKOVA M, LUKASOVA P, VCELAK J, CIRMANOVA V, HALUZIK M, BENDLOVA B. Specific Metabolic Characteristics of Women With Former Gestational Diabetes: the Importance of Adipose Tissue. Physiol Res 2017; 66:S349-S356. [DOI: 10.33549/physiolres.933726] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Women with a positive history of gestational diabetes mellitus (GDM) face a higher risk of developing type 2 diabetes mellitus (T2DM) and metabolic syndrome later in life. The higher risk of these metabolic complications is closely associated with adipose tissue. In this review, the importance of adipose tissue is discussed in relation to GDM, focusing on both the quantity of fat deposits and the metabolic activity of adipose tissue in particular periods of life: neonatal age, childhood, adolescence, and pregnancy followed by nursing. Preventive measures based on body composition and lifestyle habits with special attention to the beneficial effects of breastfeeding are also discussed.
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20
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Bianchi C, de Gennaro G, Romano M, Battini L, Aragona M, Corfini M, Del Prato S, Bertolotto A. Italian national guidelines for the screening of gestational diabetes: Time for a critical appraisal? Nutr Metab Cardiovasc Dis 2017; 27:717-722. [PMID: 28755805 DOI: 10.1016/j.numecd.2017.06.010] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2017] [Revised: 06/05/2017] [Accepted: 06/14/2017] [Indexed: 11/25/2022]
Abstract
BACKGROUND AND AIM In 2011, the Italian National Health System guidelines introduced a selective screening for gestational diabetes (GDM) based on risk factors, recommending early evaluation in high risk women. The present study examined to which extent guidelines are applied, and analyzed the effectiveness of GDM diagnosis according to risk profile. METHODS AND RESULTS We analyzed 1338 pregnant women, consecutively screened for GDM with a 75 g OGTT between January 2013 and December 2015, according to national guidelines. Diagnosis of GDM was based on IADPSG/WHO 2013 criteria. As many as 14.4% of screened women was at high risk, 64% at medium, 21.6% did not have any risk factor. Only 50% of high-risk women were appropriately screened at 16th-18th gestational weeks; 28% of them repeated the OGTT due to NGT. The overall prevalence of GDM was 39.9%, higher in high risk women (67% vs. 40% medium risk vs. 22% low risk; p < 0.0001). An early GDM diagnosis was performed in 40.7% of high-risk women. In low risk women, gestational weight gain at the screening time was independently associated with GDM. CONCLUSIONS The recommendations for the screening of GDM are still insufficiently implemented, especially for early evaluation in high risk women. Considering the high proportion of early GDM diagnosis, the poor adherence to screening recommendation may result in late diagnosis of GDM. Finally, our finding of a 22% prevalence of GDM among low risk women suggests the need to consider additional risk factors, such as excessive weight gain during pregnancy.
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Affiliation(s)
- C Bianchi
- Department of Medicine, University Hospital of Pisa, Italy.
| | - G de Gennaro
- Department of Clinical and Experimental Medicine, University of Pisa, Italy
| | - M Romano
- Maternal-Infant Department, University Hospital of Pisa, Italy
| | - L Battini
- Maternal-Infant Department, University Hospital of Pisa, Italy
| | - M Aragona
- Department of Medicine, University Hospital of Pisa, Italy
| | - M Corfini
- Department of Medicine, University Hospital of Pisa, Italy
| | - S Del Prato
- Department of Clinical and Experimental Medicine, University of Pisa, Italy
| | - A Bertolotto
- Department of Medicine, University Hospital of Pisa, Italy
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21
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The effect of pre-pregnancy body mass index and excessive gestational weight gain on the risk of gestational diabetes in advanced maternal age. Oncotarget 2017; 8:58364-58371. [PMID: 28938562 PMCID: PMC5601658 DOI: 10.18632/oncotarget.17651] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2017] [Accepted: 04/25/2017] [Indexed: 11/25/2022] Open
Abstract
Background and purpose With the popularization of a two-child policy in China, the number of pregnant women of advanced maternal age will increase steadily. We aimed to assess the association between pre-pregnancy body mass index (BMI) and weight gain in the first and second trimester and the risk of gestational diabetes (GDM) in the advanced maternal age group and control group defined as maternal age of 20–35 years. Results The risk of GDM for obesity before pregnancy was 2.707 (95% CI: 1.042–7.029) folds and 3.612 (95% CI: 1.182–11.039) folds in the control group and advanced maternal age group, respectively. Excessive weight gain in the first trimester was significant related to a higher risk of developing GDM with the odds ratio (OR) of 2.655 (95% CI: 1.265–5.571) and 4.170 (95% CI: 1.437–12.100) in the control group and advanced maternal age group, respectively. Materials and methods This prospective cohort study included 565 pregnant women with singleton pregnancy who were recruited in their first prenatal visit from the antenatal clinic in March and December 2016. Maternal weight was recorded before pregnancy, in the first prenatal visit and at the time of screening oral glucose tolerance test (OGTT). All women underwent 2 h 75g-OGTT at 24–28 weeks (24 weeks on average). GDM was diagnosed according to the standards issued by the Ministry of Health of China in 2011. Conclusions Elevated pre-pregnancy BMI independently increases the risk of GDM, particularly in advanced maternal age. Excessive weight gain in the first trimester is significantly associated with the incidence of GDM regardless of pre-pregnancy BMI.
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