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Tsoi KY, Chan RCM, Zhang C, Tam WH, Ma RCW. A randomized controlled trial to evaluate the effects of an early postnatal lifestyle modification program on diet, adiposity and metabolic outcome in mothers with gestational diabetes mellitus. Int J Gynaecol Obstet 2024; 166:1170-1182. [PMID: 38651286 DOI: 10.1002/ijgo.15521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 02/01/2024] [Accepted: 03/24/2024] [Indexed: 04/25/2024]
Abstract
OBJECTIVE The aim of the present study was to evaluate the effectiveness of a 12-month early postnatal lifestyle intervention program in women with gestational diabetes in a recent pregnancy. METHODS This study was a prospective randomized intervention study conducted at a diabetes center in Hong Kong. Chinese women aged 18-45 years, who developed gestational diabetes mellitus (GDM) in their most recent pregnancy, were invited. Eligible women were randomized in 1:1 ratio at baseline (6-12 weeks postpartum), to standard care or lifestyle intervention (diet and physical activity) groups for 12 months. A standardized biochemistry assessment including oral glucose tolerance test, blood lipids, complete blood count, renal and liver functions, were measured at baseline and at 12-month. Anthropometry assessment and lifestyle questionnaire were performed at various timepoints. RESULTS A total of 103 women were randomized at baseline and a total of 79 women (standard care, n = 39, intervention, n = 40) completed the assessment. After the 12-month study period, women in the intervention group had significantly lower energy intake (intervention, -497.6 ± 488.3 kcal; standard, -222.0 ± 390.0 kcal, P < 0.01) compared to the standard care group, and a trend towards greater weight reduction (intervention, -0.93 ± 4.68 kg; standard, -0.01 ± 3.12 kg, P = 0.36). CONCLUSION The lifestyle intervention implemented within 3 months postpartum appeared to promote postpartum weight loss. The early postnatal lifestyle intervention program may provide an opportunity to reduce the long-term risk of diabetes in this high-risk population.
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Affiliation(s)
- Kit Ying Tsoi
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | - Ruth C M Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | - Cuilin Zhang
- Global Center for Asian Women's Health & Bia-Echo Asia Center for Reproductive Longevity and Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Obstetrics and Gynecology, National University of Singapore, Singapore
| | - Wing Hung Tam
- Department of Obstetrics and Gynecology, The Chinese University of Hong Kong, Hong Kong, SAR, China
| | - Ronald C W Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, The Chinese University of Hong Kong, Hong Kong, China
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Gao M, Wang H, Li N, Qiao Y, Liu H, Li W, Wang S, Li J, Yu Z, Hu G, Leng J, Yang X. Serum CD44 levels in early pregnancy and its genetic variants for increased risk of gestational diabetes mellitus in Chinese pregnant women. J Proteomics 2024; 307:105268. [PMID: 39097228 DOI: 10.1016/j.jprot.2024.105268] [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: 03/26/2024] [Revised: 07/29/2024] [Accepted: 07/30/2024] [Indexed: 08/05/2024]
Abstract
This study aimed to explore associations of serum cluster of differentiation 44 (CD44) levels and its genetic variants in early pregnancy with gestational diabetes mellitus (GDM). We conducted a 1:1 case-control study (n = 414) nested in a prospective cohort of 22,302 pregnant women recruited from 2010 to 2012 in Tianjin, China. Blood samples were collected at the first antenatal care visit (at a median of 10th gestational week). Binary conditional logistic regressions were performed to examine associations of serum CD44 levels and its genetic variants with increased risk of GDM. In this study, we found that serum CD44 levels in early pregnancy was associated with GDM risk in a U-shaped manner. High serum CD44 levels and its genetic risk score in early pregnancy were associated with markedly increased risk of GDM after adjustment for traditional confounders (OR: 1.95, 95%CI: 1.12-3.40 & 1.95, 1.05-3.61). Furthermore, after adjustment for serum CD44 levels, the OR of CD44 genetic risk score for GDM was slightly attenuated but not significant (1.84, 0.98-3.48). In conclusion, serum CD44 levels and its genetic variants in early pregnancy were associated with GDM risk in Chinese pregnant women, with the effect of CD44 genetic variants being accounted for by serum CD44. SIGNIFICANCE: Recent studies suggested that pregnant women with GDM may have abnormal levels of CD44 and abnormal expression of CD44 gene, but it is uncertain whether abnormal CD44 plays a causal role in occurrence of GDM. Specifically, it remains unknown whether serum CD44 levels in early pregnancy and its genetic variants can predict the later occurrence of GDM. In this study, we found that high serum CD44 levels in early pregnancy and its genetic variants were associated with markedly increased risk of GDM in Chinese pregnant women, with the effect of CD44 genetic variants being largely accounted for by serum CD44 levels. Our study is the first reporting that serum CD44 levels and its genetic variants were associated with markedly increased risk of GDM. These multi-omics risk markers may be useful for identification of women at high risk of GDM in early pregnancy. Our findings also provide new insights into the disease mechanisms.
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Affiliation(s)
- Ming Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Hui Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Ninghua Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Yijuan Qiao
- Department of Children's Health, Tianjin Women and Children's Health Center, Tianjin 300070, China
| | - Hongyan Liu
- Department of Children's Health, Tianjin Women and Children's Health Center, Tianjin 300070, China
| | - Weiqin Li
- Department of Children's Health, Tianjin Women and Children's Health Center, Tianjin 300070, China
| | - Shuting Wang
- Department of Children's Health, Tianjin Women and Children's Health Center, Tianjin 300070, China
| | - Jing Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Zhijie Yu
- Population Cancer Research Program and Department of Pediatrics, Dalhousie University, Halifax 15000, Canada
| | - Gang Hu
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, Louisiana 70808, USA
| | - Junhong Leng
- Department of Children's Health, Tianjin Women and Children's Health Center, Tianjin 300070, China.
| | - Xilin Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China.
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Wang Y, Wei W, Guo H, Wang D, Wei X, Zhang C, Zhang X, Huang Y. Postpartum life interventions to prevent type 2 diabetes in women with gestational diabetes: A systematic review and meta-analysis. J Diabetes Investig 2024; 15:1115-1128. [PMID: 38727771 PMCID: PMC11292388 DOI: 10.1111/jdi.14220] [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: 11/14/2023] [Revised: 03/14/2024] [Accepted: 04/08/2024] [Indexed: 08/02/2024] Open
Abstract
AIMS/INTRODUCTION Type 2 diabetes mellitus is a major metabolic disease that seriously endangers life and health, but women with gestational diabetes mellitus are at increased risk for developing type 2 diabetes mellitus. This study aimed to evaluate the effectiveness of postpartum lifestyle intervention on the prevention of type 2 diabetes mellitus, and the effect of lifestyle intervention on glycemic outcomes and anthropometric measures. MATERIALS AND METHODS We searched PubMed and other databases to retrieve articles published before May 21, 2023, on randomized controlled trials of postnatal lifestyle interventions (diet and/or physical activity) in women with gestational diabetes mellitus. We estimated the pooled odds ratios using fixed or random effects models and conducted a subgroup analysis of the different intervention methods to explore differences in the different lifestyle interventions. RESULTS The review included 17 randomized controlled trials. Overall, lifestyle changes started after a pregnancy complicated by gestational diabetes mellitus an 11% (RR = 0.89; 95% CI: 0.74-1.07) reduction in diabetes risk; significant differences were found for weight (MD = -1.33; 95% CI: [-1.76; -0.89], P < 0.00001) body mass index (MD = -0.53; 95% CI: [-0.74, -0.32], P < 0.00001), and waist circumference change (MD = -1.38; 95% CI: [-2.12; -0.64], P = 0.0002) but not for fasting glucose (MD = -0.06; 95% CI: [-0.19; 0.06], P = 0.32), 2 h glucose (MD = -0.12; 95% CI: [-0.30; 0.06], P = 0.19), and hemoglobin A1c (MD = -0.11; 95% CI: [-0.23; 0.02], P = 0.09). Subgroup analyses showed no significant differences in the effects of different lifestyle interventions on the incidence of type 2 diabetes, blood glucose levels, and anthropometric parameters. CONCLUSION Our comprehensive meta-analysis of lifestyle interventions can improve modifiable anthropometric measures in women with gestational diabetes. We need further research to provide more intensive lifestyle intervention, more scientific intervention methods, and to reduce the incidence of type 2 diabetes in patients with gestational diabetes.
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Affiliation(s)
- Yu Wang
- School of NursingSuzhou Medical College of Soochow UniversitySuzhouChina
- The Department of EndocrinologyThe Second Affiliated Hospital of Soochow UniversitySuzhouChina
| | - Wenjun Wei
- School of NursingSuzhou Medical College of Soochow UniversitySuzhouChina
| | - Heming Guo
- The Department of EndocrinologyThe Second Affiliated Hospital of Soochow UniversitySuzhouChina
| | - Dengmin Wang
- School of NursingSuzhou Medical College of Soochow UniversitySuzhouChina
| | - Xueli Wei
- The Department of EndocrinologyThe Second Affiliated Hospital of Soochow UniversitySuzhouChina
| | - Chunlan Zhang
- The Department of EndocrinologyThe Second Affiliated Hospital of Soochow UniversitySuzhouChina
| | - Xiaoyan Zhang
- The Department of EndocrinologyThe Second Affiliated Hospital of Soochow UniversitySuzhouChina
| | - Yun Huang
- The Department of EndocrinologyThe Second Affiliated Hospital of Soochow UniversitySuzhouChina
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Belsti Y, Moran LJ, Goldstein R, Mousa A, Cooray SD, Baker S, Gupta Y, Patel A, Tandon N, Ajanthan S, John R, Naheed A, Chakma N, Lakshmi JK, Zoungas S, Billot L, Desai A, Bhatla N, Prabhakaran D, Gupta I, de Silva HA, Kapoor D, Praveen D, Farzana N, Enticott J, Teede H. Development of a risk prediction model for postpartum onset of type 2 diabetes mellitus, following gestational diabetes; the lifestyle InterVention in gestational diabetes (LIVING) study. Clin Nutr 2024; 43:1728-1735. [PMID: 38909514 DOI: 10.1016/j.clnu.2024.06.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 04/18/2024] [Accepted: 06/07/2024] [Indexed: 06/25/2024]
Abstract
AIMS This study aimed to develop a prediction model for identifying a woman with gestational diabetes mellitus (GDM) at high risk of type 2 diabetes (T2DM) post-birth. METHODS Utilising data from 1299 women in the Lifestyle Intervention IN Gestational Diabetes (LIVING) study, two models were developed: one for pregnancy and another for postpartum. Key predictors included glucose test results, medical history, and biometric indicators. RESULTS Of the initial cohort, 124 women developed T2DM within three years. The study identified seven predictors for the antenatal T2DM risk prediction model and four for the postnatal one. The models demonstrated good to excellent predictive ability, with Area under the ROC Curve (AUC) values of 0.76 (95% CI: 0.72 to 0.80) and 0.85 (95% CI: 0.81 to 0.88) for the antenatal and postnatal models, respectively. Both models underwent rigorous validation, showing minimal optimism in predictive capability. Antenatal model, considering the Youden index optimal cut-off point of 0.096, sensitivity, specificity, and accuracy were measured as 70.97%, 70.81%, and 70.82%, respectively. For the postnatal model, considering the cut-off point 0.086, sensitivity, specificity, and accuracy were measured as 81.40%, 75.60%, and 76.10%, respectively. CONCLUSIONS These models are effective for predicting T2DM risk in women with GDM, although external validation is recommended before widespread application.
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Affiliation(s)
- Yitayeh Belsti
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
| | - Lisa J Moran
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
| | - Rebecca Goldstein
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia; Monash Health, Melbourne, Australia
| | - Aya Mousa
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
| | - Shamil D Cooray
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia; Monash Health, Melbourne, Australia
| | - Susanne Baker
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
| | - Yashdeep Gupta
- All India Institute of Medical Sciences, New Delhi, India
| | - Anushka Patel
- The George Institute for Global Health, University of New South Wales, Newtown, NSW, Australia
| | - Nikhil Tandon
- All India Institute of Medical Sciences, New Delhi, India
| | | | - Renu John
- The George Institute for Global Health, New Delhi, India
| | - Aliya Naheed
- Non-Communicable Diseases, Nutrition Research Division, International Centre for Diarrhoeal Disease Research, Bangladesh
| | - Nantu Chakma
- Non-Communicable Diseases, Nutrition Research Division, International Centre for Diarrhoeal Disease Research, Bangladesh
| | - Josyula K Lakshmi
- Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India; The George Institute for Global Health, New Delhi, India; Faculty of Medicine and Health, University of New South Wales, Sydney, Australia
| | - Sophia Zoungas
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Laurent Billot
- The George Institute for Global Health, New Delhi, India; Faculty of Medicine and Health, University of New South Wales, Sydney, Australia
| | - Ankush Desai
- Department of Endocrinology, Goa Medical College, Goa, India
| | - Neerja Bhatla
- All India Institute of Medical Sciences, New Delhi, India
| | | | - Ishita Gupta
- Centre for Chronic Disease Control, New Delhi, India
| | - H Asita de Silva
- Clinical Trials Unit, Faculty of Medicine, University of Kelaniya, Ragama, Sri Lanka
| | - Deksha Kapoor
- All India Institute of Medical Sciences, New Delhi, India
| | - Devarsetty Praveen
- Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India; Faculty of Medicine and Health, University of New South Wales, Sydney, Australia; George Institute for Global Health, Hyderabad, India
| | - Noshin Farzana
- Non-Communicable Diseases, Nutrition Research Division, International Centre for Diarrhoeal Disease Research, Bangladesh
| | - Joanne Enticott
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia.
| | - Helena Teede
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia; Monash Health, Melbourne, Australia
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Lee VY, Monjur MR, Santos JA, Patel A, Liu R, Di Tanna GL, Gupta Y, Goyal A, Ajanthan S, Praveen D, Lakshmi JK, de Silva HA, Tandon N. The efficacy of interventions to prevent type 2 diabetes among women with recent gestational diabetes mellitus-A living systematic review and meta-analysis. J Diabetes 2024; 16:e13590. [PMID: 39136500 PMCID: PMC11320752 DOI: 10.1111/1753-0407.13590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 04/05/2024] [Accepted: 05/13/2024] [Indexed: 08/16/2024] Open
Abstract
BACKGROUND While previously considered a transient condition, with no lasting adverse impact, gestational diabetes mellitus (GDM) is now a well-established risk factor for developing type 2 diabetes mellitus (T2DM). The risk of developing T2DM appears to be particularly high in the first few years after childbirth, providing a compelling case for early intervention. This review provides an up-to-date systematic review and meta-analysis to assess the effectiveness of interventions to reduce incidence of T2DM in women with a recent history of GDM. METHODS The search was conducted on October 20, 2023 with an annual surveillance planned for the next 5 years to maintain a living systematic review. The inclusion criteria were randomized controlled trials of any type in women within 5 years of GDM-complicated pregnancy that reported outcomes of T2DM diagnosis or measures of dysglycemia with a follow-up of at least 12 months. RESULTS Seventeen studies met our inclusion criteria and have been included in this review. There were 3 pharmacological and 14 lifestyle interventions. Intervention was not associated with significant reduction in the primary outcome of T2DM (risk ratio, 0.78; 95% confidence interval [CI]: 0.43-1.41; p = 0.41; I2 = 79%) compared with the control group (placebo or usual care). However, meta-analysis of the four studies reporting hazard ratios suggested a reduction in diabetes incidence (hazard ratio, 0.68; 95% CI: 0.48-0.97; p = 0.03; I2 = 31%). CONCLUSION This review provides equivocal evidence about the efficacy of interventions to reduce the risk of T2DM in women within 5 years of GDM-complicated pregnancy and highlights the need for further studies, including pharmacotherapy.
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Affiliation(s)
- Vivian Y. Lee
- The George Institute for Global HealthSydneyNew South WalesAustralia
- Faculty of MedicineUniversity of New South WalesKensingtonNew South WalesAustralia
| | - Mohammad R. Monjur
- South Eastern Sydney Local Health DistrictSydneyNew South WalesAustralia
| | | | - Anushka Patel
- The George Institute for Global HealthSydneyNew South WalesAustralia
- Faculty of MedicineUniversity of New South WalesKensingtonNew South WalesAustralia
| | - Rong Liu
- The George Institute for Global HealthSydneyNew South WalesAustralia
- Faculty of MedicineUniversity of New South WalesKensingtonNew South WalesAustralia
| | - Gian Luca Di Tanna
- The George Institute for Global HealthSydneyNew South WalesAustralia
- Faculty of MedicineUniversity of New South WalesKensingtonNew South WalesAustralia
- Department of Innovative TechnologiesUniversity of Applied Sciences and Arts of Southern SwitzerlandMannoSwitzerland
| | - Yashdeep Gupta
- Department of Endocrinology and MetabolismAll India Institute of Medical SciencesNew DelhiIndia
| | - Alpesh Goyal
- Department of Endocrinology and MetabolismAll India Institute of Medical SciencesNew DelhiIndia
| | | | - Devarsetty Praveen
- Faculty of MedicineUniversity of New South WalesKensingtonNew South WalesAustralia
- The George Institute for Global HealthNew DelhiIndia
- Prasanna School of Public HealthManipalIndia
| | - J. K. Lakshmi
- Faculty of MedicineUniversity of New South WalesKensingtonNew South WalesAustralia
- The George Institute for Global HealthNew DelhiIndia
- Prasanna School of Public HealthManipalIndia
| | - H. Asita de Silva
- Clinical Trials Unit, Department of Pharmacology, Faculty of MedicineUniversity of KelaniyaColomboSri Lanka
| | - Nikhil Tandon
- Department of Endocrinology and MetabolismAll India Institute of Medical SciencesNew DelhiIndia
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Simmons D, Gupta Y, Hernandez TL, Levitt N, van Poppel M, Yang X, Zarowsky C, Backman H, Feghali M, Nielsen KK. Call to action for a life course approach. Lancet 2024; 404:193-214. [PMID: 38909623 DOI: 10.1016/s0140-6736(24)00826-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 04/08/2024] [Accepted: 04/19/2024] [Indexed: 06/25/2024]
Abstract
Gestational diabetes remains the most common medical disorder in pregnancy, with short-term and long-term consequences for mothers and offspring. New insights into pathophysiology and management suggest that the current gestational diabetes treatment approach should expand from a focus on late gestational diabetes to a personalised, integrated life course approach from preconception to postpartum and beyond. Early pregnancy lifestyle intervention could prevent late gestational diabetes. Early gestational diabetes diagnosis and treatment has been shown to be beneficial, especially when identified before 14 weeks of gestation. Early gestational diabetes screening now requires strategies for integration into routine antenatal care, alongside efforts to reduce variation in gestational diabetes care, across settings that differ between, and within, countries. Following gestational diabetes, an oral glucose tolerance test should be performed 6-12 weeks postpartum to assess the glycaemic state. Subsequent regular screening for both dysglycaemia and cardiometabolic disease is recommended, which can be incorporated alongside other family health activities. Diabetes prevention programmes for women with previous gestational diabetes might be enhanced using shared decision making and precision medicine. At all stages in this life course approach, across both high-resource and low-resource settings, a more systematic process for identifying and overcoming barriers to preventative care and treatment is needed to reduce the current global burden of gestational diabetes.
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Affiliation(s)
- David Simmons
- School of Medicine, Western Sydney University, Sydney, NSW, Australia.
| | - Yashdeep Gupta
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | - Teri L Hernandez
- College of Nursing, University of Colorado, Aurora, CO, USA; Department of Medicine, Division of Endocrinology, Metabolism, and Diabetes, University of Colorado School of Medicine, Aurora, CO, USA; Children's Hospital Colorado, Anschutz Medical Campus, Aurora, CO, USA
| | - Naomi Levitt
- Chronic Disease Initiative for Africa, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Mireille van Poppel
- Department of Human Movement Science, Sport and Health, University of Graz, Graz, Austria
| | - Xilin Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Christina Zarowsky
- Department of Social and Preventive Medicine, University of Montréal, Montréal, QC, Canada; CReSP Public Health Research Centre, Montréal, QC, Canada
| | - Helena Backman
- Department of Obstetrics and Gynecology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
| | - Maisa Feghali
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh, PA, USA
| | - Karoline Kragelund Nielsen
- Department of Prevention, Health Promotion and Community Care, Steno Diabetes Center Copenhagen, Herlev, Denmark
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Kirke AB, Spry E, Atkinson D, Sinclair C, Marley JV. Oral glucose tolerance test-The imperfect gold standard for gestational diabetes screening: A qualitative study involving clinicians in regional, rural and remote areas of Western Australia. Health Promot J Austr 2024. [PMID: 38973209 DOI: 10.1002/hpja.899] [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: 09/17/2023] [Revised: 06/06/2024] [Accepted: 06/17/2024] [Indexed: 07/09/2024] Open
Abstract
ISSUE ADDRESSED The oral glucose tolerance test is the 'gold standard' for detecting gestational diabetes in Australian and International guidelines. Test completion in regional, rural and remote regions may be as low as 50%. We explored challenges and enablers for regional, rural and remote antenatal clinicians providing gestational diabetes screening to better understand low oral glucose tolerance test completion. METHODS We conducted a qualitative descriptive study using semi-structured interviews. Participants eligible for the study were doctors or midwives providing antenatal care in regional, rural and remote Western Australia, between August 2019 and November 2020. Interviews were recorded digitally and transcribed into a Word document. We conducted a thematic analysis after initial categorisation and deduction of themes through workshops involving the research team. RESULTS We found a diversity of viewpoints on oral glucose tolerance test reliability for detecting gestational diabetes. Themes that emerged were; good collaboration between antenatal clinicians is required for successful screening; screening occurs throughout pregnancy using various tests; clinicians make significant efforts to address barriers; clinicians prioritise therapeutic relationships. CONCLUSIONS Effective universal screening for gestational diabetes in regional, rural and remote Western Australia is difficult and more complex in practice than guidelines imply. Detecting gestational diabetes requires creative solutions, early identification of at risk women and trust and collaboration between clinicians and women. SO WHAT?: Detection of gestational diabetes in regional, rural and remote Western Australia remains poorly completed. New strategies are required to adequately identify women at risk of adverse birth outcomes relating to hyperglycaemia in pregnancy.
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Affiliation(s)
- Andrew B Kirke
- The Rural Clinical School of Western Australia, The University of Western Australia, Bunbury, Australia
| | - Erica Spry
- The Rural Clinical School of Western Australia, The University of Western Australia, Broome, Australia
- Kimberley Aboriginal Medical Services, Broome, Australia
| | - David Atkinson
- The Rural Clinical School of Western Australia, The University of Western Australia, Broome, Australia
| | - Craig Sinclair
- School of Psychology, The University of New South Wales, Kensington, Australia
| | - Julia V Marley
- The Rural Clinical School of Western Australia, The University of Western Australia, Broome, Australia
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Zhang X, Wu H, Lau ESH, Fan B, Tsoi KY, Tam CHT, Yang A, Shi M, Chow E, Kong APS, Chan JCN, Tam WH, Luk AOY, Ma RCW. Health impacts of new-onset diabetes in women post-gestational diabetes mellitus: Insights from Hong Kong's territory-wide data. J Diabetes Investig 2024; 15:772-781. [PMID: 38456720 PMCID: PMC11143414 DOI: 10.1111/jdi.14167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 01/04/2024] [Accepted: 02/05/2024] [Indexed: 03/09/2024] Open
Abstract
AIMS/INTRODUCTION To determine the population health burden attributable to the development of diabetes among women with a history of gestational diabetes mellitus (GDM). MATERIALS AND METHODS We conducted a retrospective analysis of women with a history of GDM attending the Hong Kong Hospital Authority between 2000 and 2019. The time-varying population attributable fraction was calculated. RESULTS A total of 76,181 women with a history of gestational diabetes mellitus were included, 6,606 of them developed diabetes during a median follow-up of 8.6 years. The respective hazard ratios (95% confidence interval) among women with GDM who developed diabetes vs those with GDM only were 2.8 (2.2, 3.7) for cardiovascular disease (CVD), 4.8 (3.0, 7.7) for end-stage kidney disease (ESKD), 2.2 (1.9, 2.6) for infection-related hospitalization, and 1.8 (1.3, 2.4) for all-cause mortality. The development of diabetes was associated with 1.3 (0.8, 1.7), 0.6 (0.3, 0.8), 3.2 (2.4, 4.0), and 0.5 (0.2, 0.9) additional incident cases per 1,000 person-years, accounting for 24.0% (13.2%, 35.9%), 42.0% (22.5%, 58.8%), 10.8% (7.1%, 14.9%), and 6.0% (-3.1%, 16.1%) of absolute number of CVD, ESKD, infection-related hospitalization, and all-cause mortality over 20 years after GDM, respectively. CONCLUSIONS Diabetes is a significant contributor to the population health burden of some clinical outcomes in women with a history of gestational diabetes mellitus, but other risk factors need to be considered.
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Affiliation(s)
- Xinge Zhang
- Department of Medicine and TherapeuticsThe Chinese University of Hong KongHong Kong Special Administrative RegionChina
| | - Hongjiang Wu
- Department of Medicine and TherapeuticsThe Chinese University of Hong KongHong Kong Special Administrative RegionChina
| | - Eric SH Lau
- Department of Medicine and TherapeuticsThe Chinese University of Hong KongHong Kong Special Administrative RegionChina
| | - Baoqi Fan
- Department of Medicine and TherapeuticsThe Chinese University of Hong KongHong Kong Special Administrative RegionChina
| | - Kit Ying Tsoi
- Department of Medicine and TherapeuticsThe Chinese University of Hong KongHong Kong Special Administrative RegionChina
| | - Claudia HT Tam
- Department of Medicine and TherapeuticsThe Chinese University of Hong KongHong Kong Special Administrative RegionChina
| | - Aimin Yang
- Department of Medicine and TherapeuticsThe Chinese University of Hong KongHong Kong Special Administrative RegionChina
- Hong Kong Institute of Diabetes and ObesityThe Chinese University of Hong KongHong Kong Special Administrative RegionChina
| | - Mai Shi
- Department of Medicine and TherapeuticsThe Chinese University of Hong KongHong Kong Special Administrative RegionChina
| | - Elaine Chow
- Department of Medicine and TherapeuticsThe Chinese University of Hong KongHong Kong Special Administrative RegionChina
| | - Alice PS Kong
- Department of Medicine and TherapeuticsThe Chinese University of Hong KongHong Kong Special Administrative RegionChina
- Hong Kong Institute of Diabetes and ObesityThe Chinese University of Hong KongHong Kong Special Administrative RegionChina
- Li Ka Shing Institute of Health SciencesThe Chinese University of Hong KongHong Kong Special Administrative RegionChina
| | - Juliana CN Chan
- Department of Medicine and TherapeuticsThe Chinese University of Hong KongHong Kong Special Administrative RegionChina
- Hong Kong Institute of Diabetes and ObesityThe Chinese University of Hong KongHong Kong Special Administrative RegionChina
- Li Ka Shing Institute of Health SciencesThe Chinese University of Hong KongHong Kong Special Administrative RegionChina
| | - Wing Hung Tam
- Department of Obstetrics and GynaecologyThe Chinese University of Hong KongHong Kong Special Administrative RegionChina
| | - Andrea OY Luk
- Department of Medicine and TherapeuticsThe Chinese University of Hong KongHong Kong Special Administrative RegionChina
- Hong Kong Institute of Diabetes and ObesityThe Chinese University of Hong KongHong Kong Special Administrative RegionChina
- Li Ka Shing Institute of Health SciencesThe Chinese University of Hong KongHong Kong Special Administrative RegionChina
| | - Ronald CW Ma
- Department of Medicine and TherapeuticsThe Chinese University of Hong KongHong Kong Special Administrative RegionChina
- Hong Kong Institute of Diabetes and ObesityThe Chinese University of Hong KongHong Kong Special Administrative RegionChina
- Li Ka Shing Institute of Health SciencesThe Chinese University of Hong KongHong Kong Special Administrative RegionChina
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9
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Ioannou E, Humphreys H, Homer C, Purvis A. Beyond the individual: Socio-ecological factors impacting activity after gestational diabetes mellitus. Diabet Med 2024; 41:e15286. [PMID: 38291570 DOI: 10.1111/dme.15286] [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: 09/15/2023] [Revised: 12/14/2023] [Accepted: 01/09/2024] [Indexed: 02/01/2024]
Abstract
AIM The risk of Type 2 Diabetes is 10 times higher after a pregnancy with Gestational Diabetes. Physical activity can independently reduce this risk, yet engagement with physical activity remains low after Gestational Diabetes. Therefore, the present study aimed to explore the barriers and facilitators to the uptake of physical activity after Gestational Diabetes in the United Kingdom, using a socio-ecological approach. METHODS The paper was written following the Standards for Reporting Qualitative Research. Patient and Public Involvement contributed to the study's conceptualisation and design. Participants were recruited through an audit of Gestational Diabetes cases at a local Teaching Hospital in 2020. Twelve participants took part in semi-structured one-to-one interviews. Reflexive thematic analysis was used to generate themes in iterative rounds of refinement. The final themes were then organised using the socio-ecological model. RESULTS Participants were all over 31 years old, predominantly self-identified as White British and were all in employment but were evenly spread across UK-based deprivation deciles. Ten themes were generated and organised according to the four levels of the socio-ecological model: intrapersonal (beliefs about activity, recovering from birth), social (health care professionals, family and partner, role as a mother), organisational (access and cost, environment, childcare and work) and community (connecting women with recent Gestational Diabetes). CONCLUSIONS Many of the amenable barriers and facilitators to physical activity were beyond the intrapersonal level, based on higher levels of the socio-ecological model (social, organisational and community). Multi-level interventions are needed to effectively address all barriers.
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Affiliation(s)
- Elysa Ioannou
- Sport and Physical Activity Research Centre, Sheffield Hallam University, Sheffield, UK
| | - Helen Humphreys
- Centre for Behavioural Science and Applied Psychology (CeBSAP), Sheffield Hallam University, Sheffield, UK
| | - Catherine Homer
- Sport and Physical Activity Research Centre, Sheffield Hallam University, Sheffield, UK
| | - Alison Purvis
- Sport and Physical Activity Research Centre, Sheffield Hallam University, Sheffield, UK
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10
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Dennison RA, Oliver-Williams C, Qi HLJ, Kotecha D, Seed L, Ward RJ, Griffin SJ. The effectiveness of pharmacological and lifestyle interventions to reduce the risk of diabetes and hyperglycaemia following gestational diabetes: A systematic review and meta-analysis. Diabet Med 2024; 41:e15316. [PMID: 38553834 DOI: 10.1111/dme.15316] [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: 07/11/2022] [Revised: 01/31/2024] [Accepted: 03/11/2024] [Indexed: 05/12/2024]
Abstract
AIMS To synthesize the available evidence to better understand the effectiveness of interventions to prevent or delay hyperglycaemia and Type 2 diabetes mellitus (T2DM) postnatally in women with current or previous gestational diabetes mellitus (GDM). METHODS We searched five databases up to December 2020 for primary peer-reviewed articles reporting postpartum glycaemic outcomes in women with (previous) GDM following pharmacological or lifestyle intervention. Outcomes were relative risk of T2DM or continuous measures of glycaemia, change or at follow-up. A minimum of two studies evaluating the same intervention-outcome combination were needed to conduct meta-analyses, otherwise studies were described narratively. Meta-regression was used to evaluate whether associations varied by additional variables. We assessed risk of bias using the Critical Appraisal Skills Programme checklist. PROSPERO record CRD42018102380. RESULTS We included 31 studies in the review with a total sample size of 8624 participants, and 26 studies in meta-analyses. Two-thirds of studies followed up participants at 1 year or less. Pharmacological interventions were associated with reduced risk of T2DM (0.80 [95% CI 0.64-1.00], n = 6 studies), as were lifestyle interventions albeit with a smaller effect size (0.88 [95% CI 0.76-1.01], n = 12 studies). Dietary and physical activity interventions were associated with a small reduction in fasting plasma glucose, particularly in longer interventions, but inconsistent effects were seen for other continuous outcomes. CONCLUSIONS Although possibly due to chance, interventions to reduce hyperglycaemia after GDM may be effective. Future research should improve understanding of how interventions affect glucose control and how to optimise interventions for this population.
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Affiliation(s)
- Rebecca A Dennison
- Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | | | - Helen Lin Jia Qi
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Deeya Kotecha
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Lydia Seed
- School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Rebecca J Ward
- Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Simon J Griffin
- Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- MRC Epidemiology Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
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11
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Dunne P, Culliney L, O'Mahony L, Byrne M, Murphy AW, O'Reilly S. Exploring health professionals' knowledge, practices and attitudes regarding gestational diabetes: A cross-sectional Irish national survey. Diabet Med 2024:e15373. [PMID: 38820178 DOI: 10.1111/dme.15373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 05/16/2024] [Accepted: 05/17/2024] [Indexed: 06/02/2024]
Abstract
AIM Gestational diabetes confers short- and long-term risk of mother and offspring health complications. Healthcare professionals such as endocrinologists, diabetes nurses, dietitians, midwives and general practitioners provide gestational diabetes care. We sought to explore healthcare professionals' perspectives on gestational diabetes care during pregnancy and postpartum. METHODS Healthcare professionals in the Republic of Ireland, whose role included gestational diabetes care were invited to complete an online 20-item survey between June and September 2022. Social media, professional organisations and personal networks were used for recruitment. Questions included guideline use, postpartum diabetes screening and advice practices. Analyses were performed using SPSS statistical software and free text was coded using NVivo. RESULTS Seventeen healthcare professions across primary and secondary care settings participated (n = 127). No differences were noted between groups (medical, nursing/midwifery, allied health/other); therefore, findings were reported as a single group. Healthcare professionals reported using multiple different guidelines to support gestational diabetes management (n = 14). The most cited were 'Health Service Executive guidelines' (24.5%), 'local guidelines' (13.2%) and National Institute for Clinical Excellence guidelines (11.3%); 12.3% cited uncertainty, and 27.5% reported not to follow any named guidelines. For postpartum follow-up, 39% felt clear guidelines were available to support practice, 37% felt appropriate systems were in place and 29% reported effective communication between primary and secondary care services. Qualitative findings emphasised a desire for improved communication between systems, participants and providers, clear interdisciplinary guidelines, and adequate resourcing for gestational diabetes management and postpartum diabetes prevention, including comprehensive support and follow-up. CONCLUSION System-level challenges and ineffective communication across settings are barriers to optimum postpartum care. Nationally agreed guidelines for best practice gestational diabetes management including postpartum diabetes prevention are needed.
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Affiliation(s)
- Pauline Dunne
- School of Agriculture and Food Science, University College Dublin, Dublin, Ireland
| | | | | | - Molly Byrne
- Health Behaviour Change Research Group, University of Galway, Galway, Ireland
| | - Andrew W Murphy
- Health Research Board Primary Care Clinical Trials Network Ireland, University of Galway, Galway, Ireland
| | - Sharleen O'Reilly
- School of Agriculture and Food Science, University College Dublin, Dublin, Ireland
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12
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Talebi S, Mehrabani S, Ghoreishy SM, Wong A, Moghaddam A, Feyli PR, Amirian P, Zarpoosh M, Kermani MAH, Moradi S. The association between ultra-processed food and common pregnancy adverse outcomes: a dose-response systematic review and meta-analysis. BMC Pregnancy Childbirth 2024; 24:369. [PMID: 38750456 PMCID: PMC11097443 DOI: 10.1186/s12884-024-06489-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Accepted: 04/07/2024] [Indexed: 05/18/2024] Open
Abstract
OBJECTIVES Given the increasing incidence of negative outcomes during pregnancy, our research team conducted a dose-response systematic review and meta-analysis to investigate the relationship between ultra-processed foods (UPFs) consumption and common adverse pregnancy outcomes including gestational diabetes mellitus (GDM), preeclampsia (PE), preterm birth (PTB), low birth weight (LBW), and small for gestational age (SGA) infants. UPFs are described as formulations of food substances often modified by chemical processes and then assembled into ready-to-consume hyper-palatable food and drink products using flavors, colors, emulsifiers, and other cosmetic additives. Examples include savory snacks, reconstituted meat products, frozen meals that have already been made, and soft drinks. METHODS A comprehensive search was performed using the Scopus, PubMed, and Web of Science databases up to December 2023. We pooled relative risk (RR) and 95% confidence intervals (CI) using a random-effects model. RESULTS Our analysis (encompassing 54 studies with 552,686 individuals) revealed a significant association between UPFs intake and increased risks of GDM (RR = 1.19; 95% CI: 1.10, 1.27; I2 = 77.5%; p < 0.001; studies = 44; number of participants = 180,824), PE (RR = 1.28; 95% CI: 1.03, 1.59; I2 = 80.0%; p = 0.025; studies = 12; number of participants = 54,955), while no significant relationships were found for PTB, LBW and SGA infants. Importantly, a 100 g increment in UPFs intake was related to a 27% increase in GDM risk (RR = 1.27; 95% CI: 1.07, 1.51; I2 = 81.0%; p = 0.007; studies = 9; number of participants = 39,812). The non-linear dose-response analysis further indicated a positive, non-linear relationship between UPFs intake and GDM risk Pnonlinearity = 0.034, Pdose-response = 0.034), although no such relationship was observed for PE (Pnonlinearity = 0.696, Pdose-response = 0.812). CONCLUSION In summary, both prior to and during pregnancy, chronic and excessive intake of UPFs is associated with an increased risk of GDM and PE. However, further observational studies, particularly among diverse ethnic groups with precise UPFs consumption measurement tools, are imperative for a more comprehensive understanding.
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Affiliation(s)
- Sepide Talebi
- Students' Scientific Research Center (SSRC), Tehran University of Medical Sciences, Tehran, Iran
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Sanaz Mehrabani
- Food Security Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Seyed Mojtaba Ghoreishy
- Department of Nutrition, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
- Student research committee, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
| | - Alexei Wong
- Department of Health and Human Performance, Marymount University, Arlington, VA, USA
| | - Aliasghar Moghaddam
- Department of Clinical Sciences, Faculty of Veterinary Medicine, Razi University, Kermanshah, Iran
| | - Peyman Rahimi Feyli
- Department of Clinical Sciences, Faculty of Veterinary Medicine, Razi University, Kermanshah, Iran
| | - Parsa Amirian
- General Practitioner, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Iran
| | - Mahsa Zarpoosh
- General Practitioner, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Iran
| | - Mohammad Ali Hojjati Kermani
- Clinical Tuberculosis and Epidemiology Research Center, National Research Institute of Tuberculosis and Lung Diseases (NRITLD), Masih Daneshvari Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Sajjad Moradi
- Department of Nutrition and Food Sciences, Research Center for Evidence-Based Health Management, Maragheh University of Medical Sciences, Maragheh, Iran.
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Kumah NE, Agbeno EK, Derkyi-Kwarteng L, Aniakwaa-Bonsu E, Djonor SK, Acquah S. Gestational glucose intolerance among pregnant women at the Cape Coast Teaching Hospital. BMC Pregnancy Childbirth 2024; 24:356. [PMID: 38745311 PMCID: PMC11092027 DOI: 10.1186/s12884-024-06568-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Accepted: 05/07/2024] [Indexed: 05/16/2024] Open
Abstract
BACKGROUND Malaria in pregnancy can have adverse outcomes if untreated. Both malaria and pregnancy are associated with insulin resistance and diabetes. Although malaria is treated prophylactically with gestational diabetes mellitus (GDM) screened for in pregnancy as part a routine antenatal care, their impacts have not been examined in terms of other forms of dysglycaemia. This cross-sectional study examined insulin resistance and its relationship with dysglycaemia and malaria among pregnant women in the Cape Coast Teaching Hospital (CCTH). METHODS Using a structured questionnaire, demographic and clinical information were obtained from 252 pregnant women aged 18-42 years. Weight and height were measured for computation of body mass index (BMI). Measurement of insulin, lipid profile and glucose were taken under fasting conditions followed by oral glucose tolerant test. Insulin resistance and beta-cell function were assessed by the homeostatic model as malaria was diagnosed by microscopy. RESULTS The respective prevalence of GDM, gestational glucose intolerance (GGI) and insulin resistance were 0.8% (2/252), 19.44% (49/252) and 56.75% (143/252). No malaria parasite or dyslipidaemia was detected in any of the participants. Apart from BMI that increased across trimesters, no other measured parameter differed among the participants. Junior High School (JHS) education compared with no formal education increased the odds (AOR: 2.53; CI: 1.12-5.71; P = 0.03) but 2nd trimester of pregnancy compared to the 1st decreased the odds (AOR: 0.32; CI: 0.12-0.81; P = 0.02) of having insulin resistance in the entire sample. In a sub-group analysis across trimesters, pregnant women with JHS education in their 3rd trimester had increased odds (AOR: 4.41; CI: 1.25-15.62; P = 0.02) of having insulin resistance. CONCLUSION Prevalence of GDM and GGI were 0.8% and 19.44% respectively. The odds of insulin resistance increased in pregnant women with JHS education in the 3rd trimester. Appropriate measures are needed to assuage the diabetogenic risk posed by GGI in our setting.
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Affiliation(s)
- Nelson Ekow Kumah
- Department of Microbiology and Immunology, School of Medical Sciences, College of Health and Allied Sciences, University of Cape Coast, Cape Coast, Ghana
| | - Evans Kofi Agbeno
- Department of Obstetrics and Gynaecology, School of Medical Sciences, College of Health and Allied Sciences, University of Cape Coast, Cape Coast, Ghana
| | - Leonard Derkyi-Kwarteng
- Department of Pathology, School of Medical Sciences, College of Health and Allied Sciences, University of Cape Coast, Cape Coast, Ghana
| | - Ebenezer Aniakwaa-Bonsu
- Department of Microbiology and Immunology, School of Medical Sciences, College of Health and Allied Sciences, University of Cape Coast, Cape Coast, Ghana
| | - Sampson Kafui Djonor
- Department of Epidemiology and Disease Control, School of Public Health, University of Ghana, Accra, Ghana
| | - Samuel Acquah
- Department of Medical Biochemistry, School of Medical Sciences, College of Health and Allied Sciences, University of Cape Coast, Cape Coast, Ghana.
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14
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Bradford BF, Cronin RS, Okesene-Gafa KA, Apaapa-Timu THS, Shashikumar A, Oyston CJ. Diabetes in pregnancy: Women's views of care in a multi-ethnic, low socioeconomic population with midwifery continuity-of-care. Women Birth 2024; 37:101579. [PMID: 38296743 DOI: 10.1016/j.wombi.2024.01.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 12/10/2023] [Accepted: 01/14/2024] [Indexed: 02/02/2024]
Abstract
BACKGROUND Diabetes in pregnancy is diagnosed in 6% of pregnancies annually in Aotearoa-New Zealand, disproportionately affecting multi-ethnic, low socio-economic women. Little is known about the care experience of this population within the model of midwifery continuity-of-care, including views of telehealth care. AIM Increase understanding of the experience of diabetes in pregnancy care, including telehealth, among multi-ethnic, low socio-economic women receiving midwifery continuity-of-care. METHODS Qualitative interview study with primarily indigenous and migrant women who had diabetes in pregnancy and gave birth 6-18 months previously. Interviewers were matched with participants by ethnicity. Transcripts were analysed using Framework analysis. RESULTS Participants were 19 women (5 Māori, 5 Pacific Peoples, 5 Asian, 4 European). Data analysis revealed three key themes: 1) 'shock, shame, and adjustment' to the diagnosis 2) 'learning to manage diabetes in pregnancy' and 3) 'preparation for birth and beyond' to the postpartum period. DISCUSSION Receiving the diagnosis of diabetes in pregnancy was a shock. Managing diabetes during pregnancy was particularly challenging for indigenous and migrant women, who wished for better access to culturally appropriate dietary and lifestyle information. Women appreciated having options of telehealth and face-to-face consultations. Preparation for birth and postpartum diabetes follow-up were areas requiring significant improvement. Challenges were mitigated through care from a consistent diabetes specialist midwife and community-based midwifery continuity-of-care. CONCLUSION Midwives were the backbone of diabetes in pregnancy care for this multi-ethnic, low socio-economic population. Care could be improved with more culturally appropriate diet and lifestyle information, better birth preparation, and expanded postpartum diabetes support.
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Affiliation(s)
- Billie F Bradford
- Obstetrics & Gynaecology, Monash Health, Monash University, Australia
| | - Robin S Cronin
- Te Whatu Ora Counties Manukau, Health New Zealand, New Zealand; Department of Obstetrics and Gynecology, University of Auckland, New Zealand
| | - Karaponi A Okesene-Gafa
- Te Whatu Ora Counties Manukau, Health New Zealand, New Zealand; Department of Obstetrics and Gynecology, University of Auckland, New Zealand
| | - Te Hao S Apaapa-Timu
- Te Whatu Ora Counties Manukau, Health New Zealand, New Zealand; Department of Obstetrics and Gynecology, University of Auckland, New Zealand
| | - Asha Shashikumar
- Department of Obstetrics and Gynecology, University of Auckland, New Zealand
| | - Charlotte J Oyston
- Te Whatu Ora Counties Manukau, Health New Zealand, New Zealand; Department of Obstetrics and Gynecology, University of Auckland, New Zealand.
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15
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Zheng W, Zhang Y, Zhang P, Chen T, Yan X, Li L, Shao L, Song Z, Han W, Wang J, Huang J, Ma K, Yang R, Ma Y, Xu L, Zhang K, Yuan X, Li G. Gestational diabetes mellitus is associated with distinct folate-related metabolites in early and mid-pregnancy: A prospective cohort study. Diabetes Metab Res Rev 2024; 40:e3814. [PMID: 38769695 DOI: 10.1002/dmrr.3814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 02/02/2024] [Accepted: 03/28/2024] [Indexed: 05/22/2024]
Abstract
AIMS This study aimed to evaluate the association between gestational diabetes mellitus (GDM) and circulating folate metabolites, folic acid (FA) intake, and the methylenetetrahydrofolate reductase (MTHFR) and methionine synthase reductase (MTRR) genotype. MATERIALS AND METHODS A prospective pregnancy cohort study was conducted in Beijing, China, from 2022 to 2023. Circulating folate metabolites, including red blood cell (RBC) 5-methyltetrahydrofolate (5-MTHF), 5, 10-methylene-tetrahydrofolate (5,10-CH2-THF), 5- formyltetrahydrofolate (5-CHO-THF), and unmetabolised folic acid (UMFA), and plasma homocysteine (HCY), 5-MTHF, and methylmalonic acid (MMA), were determined at 6-17 weeks and 20-26 weeks of gestation. FA intake and the MTHFR and MTRR genotype were also examined. GDM was diagnosed between 24 and 28 weeks of pregnancy by a 75-g oral glucose tolerance test (OGTT). The association between the folate status and GDM was ascertained using multivariate generalised linear models, logistic regression models, and restricted cubic spline regression, adjusting for potential confounders. RESULTS The study included 2032 pregnant women, of whom 392 (19.29%) developed GDM. UMFA above the 75th percentile (≥P75) [adjusted OR (aOR) (95% confidence interval [CI]) = 1.36 (1.01-1.84)], UMFA ≥ P90 [aOR (95% CI) = 1.82 (1.23-2.69)], and HCY ≥ P75 [aOR (95% CI) = 1.40 (1.04-1.88)] in early pregnancy, and RBC 5-MTHF [aOR (95% CI) = 1.48 (1.10-2.00)], RBC 5,10-CH2-THF [aOR (95% CI) = 1.55 (1.15-2.10)], and plasma 5-MTHF [aOR (95% CI) = 1.36 (1.00-1.86)] in mid-pregnancy ≥ P75 are associated with GDM. Higher UMFA levels in early pregnancy show positive associations with the 1-h and 2-h glucose levels during the OGTT, and higher HCY levels are associated with increased fasting glucose levels during the OGTT. In comparison, RBC 5- MTHF and 5,10-CH2-THF, and plasma 5- MTHF in mid-pregnancy are positively associated with the 1-h glucose level (p < 0.05). The MTHFR and MTRR genotype and FA intake are not associated with GDM. CONCLUSIONS Elevated levels of UMFA and HCY during early pregnancy, along with elevated RBC 5-MTHF and 5,10-CH2-THF and plasma 5-MTHF during mid-pregnancy, are associated with GDM. These findings indicate distinct connections between different folate metabolites and the occurrence of GDM.
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Affiliation(s)
- Wei Zheng
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
- Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Yujie Zhang
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
- Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Puyang Zhang
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
- Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Tengda Chen
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
- Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Xin Yan
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
- Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Lin Li
- Health Biotech Co., Ltd, Beijing, China
| | | | | | - Weiling Han
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
- Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Jia Wang
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
- Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Junhua Huang
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
- Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Kaiwen Ma
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
- Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Ruihua Yang
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
- Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Yuru Ma
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
- Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Lili Xu
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
- Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Kexin Zhang
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
- Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Xianxian Yuan
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
- Beijing Maternal and Child Health Care Hospital, Beijing, China
| | - Guanghui Li
- Division of Endocrinology and Metabolism, Department of Obstetrics, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China
- Beijing Maternal and Child Health Care Hospital, Beijing, China
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Adamczewski H, Weber D, Klein J, Behling M, Kaltheuner M. Indications for the Postpartum Oral Glucose Tolerance Test. DEUTSCHES ARZTEBLATT INTERNATIONAL 2024; 121:251-257. [PMID: 38446989 DOI: 10.3238/arztebl.m2024.0034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 02/09/2024] [Accepted: 02/09/2024] [Indexed: 03/08/2024]
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) affects more than 50 000 pregnant women in Germany every year. In postpartum diabetes screening, a 75 g oral glucose tolerance test (OGT) is recommended. This is time-consuming and can have side effects, and only 40% of mothers take it. The determination of pre-test probabilities might obviate the need for OGT except in women who are at particular risk. METHODS We analyzed 5444 cases of GDM from the GestDiab registry over the period 2015-2019. The pretest probabilities of a postpartum diagnosis of diabetes mellitus (DM) or prediabetes were calculated on the basis of clinical variables including postpartum venous fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c). RESULTS In 0.77% of mothers with a history of GDM in whom DM was not detected by FPG or HbA1c, postpartum DM was diagnosed on the basis of the 2-hour value in the OGT. Individual estimation of the pre-test probability of a diagnosis by OGT of postpartum DM or prediabetes was possible with the aid of the FPG and HbA1c values and clinical predictors including insulin treatment during pregnancy, obesity, GDM diagnosed before 24 weeks of gestation, age over 35, and a 1-hour value in the diagnostic OGT during pregnancy of 180 mg/dL (10.0 mmol/L) or above. The pretest probability of postpartum DM in the study group ranged from 0.11% to 4.17%, and that of postpartum prediabetes from 6.4% to 16.3%. CONCLUSION The probability of a diagnosis of postpartum diabetes by OGT after GDM can be estimated in postpartum screening on the basis of various parameters. This enables risk-adapted counseling of the affected women along with a long-term strategy for diabetes prevention and follow-up. The findings of our study should be verified by further research.
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Affiliation(s)
- Heinke Adamczewski
- Diabetes Practice Cologne-East, Germany; winDiab GmbH, Kaarst, Germany; Antonius Hospital Cologne, Germany
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He J, Hu K, Wang B, Wang H. Effect of dietary and physical activity behavioral interventions on reducing postpartum weight retention among women with recent gestational diabetes: A systematic review and meta-analysis of randomized controlled trials. Obes Rev 2024; 25:1-771. [PMID: 38212255 DOI: 10.1111/obr.13689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 11/22/2023] [Accepted: 11/22/2023] [Indexed: 01/13/2024]
Abstract
Postpartum weight retention (PPWR) increases the risk of long-term obesity and metabolic disease in women with recent gestational diabetes mellitus (GDM). This systematic review aimed to assess the effectiveness of dietary and physical activity behavior interventions in reducing PPWR. We systematically searched 13 electronic databases to retrieve articles published in English or Chinese before October 22, 2022. Randomized controlled trials (RCTs) that assessed dietary and/or physical activity behaviors interventions on the outcomes of PPWR among women with recent GDM were included. Twelve studies researched a total of 5672 participants. The meta-analysis indicated that dietary and physical activity behaviors interventions showed significant effects on the pooled effect size of body weight changes (WMD = -2.19, 95% CIs: -3.39, -0.98 kg), body mass index (WMD = -0.98, 95% CIs: -1.56, -0.39 kg/m2 ), and waist circumference (WMD = -1.20, 95% CIs: -2.49, 0.08 cm). Furthermore, the intervention group was more likely to achieve weight reduction (OR = 0.76, 95% CIs: 0.67, 0.87) than the control group. Postpartum dietary and physical activity behavior interventions for women with a recent GDM can reduce PPWR, and 1 year postpartum may be a window of opportunity.
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Affiliation(s)
- Jing He
- Nursing Department, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China
- School of Nursing, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China
| | - Kaili Hu
- Nursing Department, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China
| | - Binghua Wang
- Nursing Department, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China
| | - Hui Wang
- Nursing Department, Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology, Wuhan, China
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18
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Yang A, Tam CHT, Wong KK, Ozaki R, Lowe WL, Metzger BE, Chow E, Tam WH, Wong CKC, Ma RCW. Epidemic-specific association of maternal exposure to per- and polyfluoroalkyl substances (PFAS) and their components with maternal glucose metabolism: A cross-sectional analysis in a birth cohort from Hong Kong. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 917:170220. [PMID: 38278268 DOI: 10.1016/j.scitotenv.2024.170220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 01/13/2024] [Accepted: 01/14/2024] [Indexed: 01/28/2024]
Abstract
Per- and polyfluoroalkyl substances (PFAS) are persistent chemicals that have been linked to increased risk of gestational diabetes mellitus (GDM) and may affect glucose metabolisms during pregnancy. We examined the associations between maternal PFAS exposure and maternal glucose metabolisms and GDM risk among 1601 mothers who joined the Hyperglycaemia-and-Adverse-Pregnancy-Outcome (HAPO) Study in Hong Kong in 2001-2006. All mothers underwent a 75 g-oral-glucose-tolerance test at 24-32 weeks of gestation. We measured serum concentrations of six PFAS biomarkers using high-performance liquid-chromatography-coupled-with-tandem-mass-spectrometry (LC-MS-MS). We fitted conventional and advanced models (quantile-g-computation [qgcomp] and Bayesian-kernel machine regression [BKMR]) to assess the associations of individual and a mixture of PFAS with glycaemic traits. Subgroup analyses were performed based on the enrollment period by the severe-acute-respiratory-syndrome (SARS) epidemic periods in Hong Kong between March 2003 and May 2004. PFOS and PFOA were the main components of PFAS mixture among 1601 pregnant women in the Hong Kong HAPO study, with significantly higher median PFOS concentrations (19.09 ng/mL), compared to Chinese pregnant women (9.40 ng/mL) and US women (5.27 ng/mL). Maternal exposure to PFAS mixture was associated with higher HbA1c in the qgcomp (β = 0.04, 95 % CI: 0.01-0.06) model. We did not observe significant associations of PFAS mixture with fasting plasma glucose (PG), 1-h and 2-h PG in either model, except for 2-h PG in the qgcmop model (β = 0.074, 95 % CI: 0.01-0.15). PFOS was the primary contributor to the overall positive effects on HbA1c. Epidemic-specific analyses showed specific associations between PFAS exposure and the odds of GDM in the pre-SARS epidemic period. The median concentration of PFOS was highest during the peri-SARS epidemic (21.2 [14.5-43.6] ng/mL) compared with the pre-SARS (12.3 [9.2-19.9] ng/mL) and post-SARS (20.3 [14.2-46.3] ng/mL) epidemic periods. Potential interactions and exposure-response relationships between PFOA and PFNA with elevated HbA1c were observed in the peri-SARS period in BKMR model. Maternal exposure to PFAS mixture was associated with altered glucose metabolism during pregnancy. SARS epidemic-specific associations call for further studies on its long-term adverse health effects, especially potential modified associations by lifestyle changes during the COVID-19 pandemic.
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Affiliation(s)
- Aimin Yang
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China.
| | - Claudia H T Tam
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China; Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China.
| | - Kwun Kiu Wong
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China.
| | - Risa Ozaki
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China.
| | - William L Lowe
- Northwestern University Feinberg School of Medicine, Chicago, USA.
| | - Boyd E Metzger
- Northwestern University Feinberg School of Medicine, Chicago, USA.
| | - Elaine Chow
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China; Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China.
| | - Wing Hung Tam
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Hong Kong, China.
| | - Chris K C Wong
- Croucher Institute for Environmental Sciences, Department of Biology, Hong Kong Baptist University, Hong Kong, China.
| | - Ronald C W Ma
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China; Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China; Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China.
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19
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Yu G, Tam HCH, Huang C, Shi M, Lim CKP, Chan JCN, Ma RCW. Lessons and Applications of Omics Research in Diabetes Epidemiology. Curr Diab Rep 2024; 24:27-44. [PMID: 38294727 PMCID: PMC10874344 DOI: 10.1007/s11892-024-01533-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/04/2024] [Indexed: 02/01/2024]
Abstract
PURPOSE OF REVIEW Recent advances in genomic technology and molecular techniques have greatly facilitated the identification of disease biomarkers, advanced understanding of pathogenesis of different common diseases, and heralded the dawn of precision medicine. Much of these advances in the area of diabetes have been made possible through deep phenotyping of epidemiological cohorts, and analysis of the different omics data in relation to detailed clinical information. In this review, we aim to provide an overview on how omics research could be incorporated into the design of current and future epidemiological studies. RECENT FINDINGS We provide an up-to-date review of the current understanding in the area of genetic, epigenetic, proteomic and metabolomic markers for diabetes and related outcomes, including polygenic risk scores. We have drawn on key examples from the literature, as well as our own experience of conducting omics research using the Hong Kong Diabetes Register and Hong Kong Diabetes Biobank, as well as other cohorts, to illustrate the potential of omics research in diabetes. Recent studies highlight the opportunity, as well as potential benefit, to incorporate molecular profiling in the design and set-up of diabetes epidemiology studies, which can also advance understanding on the heterogeneity of diabetes. Learnings from these examples should facilitate other researchers to consider incorporating research on omics technologies into their work to advance the field and our understanding of diabetes and its related co-morbidities. Insights from these studies would be important for future development of precision medicine in diabetes.
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Affiliation(s)
- Gechang Yu
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, HKSAR, China
- Chinese University of Hong Kong- Shanghai Jiao Tong University Joint Research Centre in Diabetes Genomics and Precision Medicine, Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, HKSAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, HKSAR, China
| | - Henry C H Tam
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, HKSAR, China
- Chinese University of Hong Kong- Shanghai Jiao Tong University Joint Research Centre in Diabetes Genomics and Precision Medicine, Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, HKSAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, HKSAR, China
| | - Chuiguo Huang
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, HKSAR, China
- Chinese University of Hong Kong- Shanghai Jiao Tong University Joint Research Centre in Diabetes Genomics and Precision Medicine, Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, HKSAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, HKSAR, China
| | - Mai Shi
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, HKSAR, China
- Chinese University of Hong Kong- Shanghai Jiao Tong University Joint Research Centre in Diabetes Genomics and Precision Medicine, Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, HKSAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, HKSAR, China
| | - Cadmon K P Lim
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, HKSAR, China
- Chinese University of Hong Kong- Shanghai Jiao Tong University Joint Research Centre in Diabetes Genomics and Precision Medicine, Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, HKSAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, HKSAR, China
| | - Juliana C N Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, HKSAR, China
- Chinese University of Hong Kong- Shanghai Jiao Tong University Joint Research Centre in Diabetes Genomics and Precision Medicine, Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, HKSAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, HKSAR, China
| | - Ronald C W Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, HKSAR, China.
- Chinese University of Hong Kong- Shanghai Jiao Tong University Joint Research Centre in Diabetes Genomics and Precision Medicine, Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, HKSAR, China.
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, HKSAR, China.
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20
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Taieb A, Majdoub M, Souissi N, Chelly S, Ben Abdelkrim A. Determination of the Contributing Factors and HbA1c Cutoff Leading to Glucose Tolerance Abnormalities Following Gestational Diabetes. Cureus 2024; 16:e56218. [PMID: 38618305 PMCID: PMC11016321 DOI: 10.7759/cureus.56218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/15/2024] [Indexed: 04/16/2024] Open
Abstract
The prevalence of gestational diabetes mellitus (GDM) has been steadily increasing over the past years. It is a major risk factor for glucose intolerance and type 2 DM (T2DM). The American Diabetes Association recommends that women whose pregnancy was complicated by GDM be screened for persistent glucose abnormalities at six to 12 weeks postpartum with either a fasting plasma glucose test alone or with a fasting 75-g, two-hour oral glucose tolerance test. This study aimed to identify the main predictive factors of glucose tolerance disorders in early postpartum women with a recent history of GDM. In this retrospective descriptive study, we identified 400 women who met the eligibility criteria for the study. The mean age was 34.54 ± 5.51 years. A total of 70% had a family history of DM, 16% had a personal history of GDM, and 23% had fetal macrosomia in previous pregnancies. The overall incidence of postpartum carbohydrate tolerance disorders was 36.4%, including 12% prediabetes and 24.4% DM. The prevalence of prediabetes and T2DM after delivery was higher with older maternal age, multigravidity, a higher BMI, a history of GDM, and fetal macrosomia in previous pregnancies. Furthermore, the persistence of this impaired glucose tolerance in postpartum was associated with a higher term of diagnosis, a higher glycated hemoglobin (HbA1c) percentage (the discriminant cutoff value with the best sensitivity/specificity ratio was 5.25%), the use of insulin therapy, cesarean section delivery, and fetal macrosomia. After adjusting for confounders, only prior GDM, a higher HbA1c level, macrosomia, and gestational term were found to significantly affect postpartum glucose tolerance. Although postpartum screening for T2DM is recommended for all women with GDM, a significant number of patients fail it. A better knowledge of predictive factors for this outcome is therefore needed for a more effective and targeted medical intervention.
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Affiliation(s)
- Ach Taieb
- Endocrinology, Hospital University of Farhat Hached Sousse Tunisia, Sousse, TUN
| | - Marwa Majdoub
- Endocrinology, Hospital University of Farhat Hached Sousse Tunisia, Sousse, TUN
| | - Nesrine Souissi
- Nutrition, Hospital University of Farhat Hached Sousse Tunisia, Sousse, TUN
| | - Souhir Chelly
- Infectious Control and Prevention, Hospital University of Farhat Hached Sousse Tunisia, Sousse, TUN
| | - Asma Ben Abdelkrim
- Endocrinology, Hospital University of Farhat Hached Sousse Tunisia, Sousse, TUN
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21
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Wambua S, Singh M, Okoth K, Snell KIE, Riley RD, Yau C, Thangaratinam S, Nirantharakumar K, Crowe FL. Association between pregnancy-related complications and development of type 2 diabetes and hypertension in women: an umbrella review. BMC Med 2024; 22:66. [PMID: 38355631 PMCID: PMC10865714 DOI: 10.1186/s12916-024-03284-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Accepted: 02/02/2024] [Indexed: 02/16/2024] Open
Abstract
BACKGROUND Despite many systematic reviews and meta-analyses examining the associations of pregnancy complications with risk of type 2 diabetes mellitus (T2DM) and hypertension, previous umbrella reviews have only examined a single pregnancy complication. Here we have synthesised evidence from systematic reviews and meta-analyses on the associations of a wide range of pregnancy-related complications with risk of developing T2DM and hypertension. METHODS Medline, Embase and Cochrane Database of Systematic Reviews were searched from inception until 26 September 2022 for systematic reviews and meta-analysis examining the association between pregnancy complications and risk of T2DM and hypertension. Screening of articles, data extraction and quality appraisal (AMSTAR2) were conducted independently by two reviewers using Covidence software. Data were extracted for studies that examined the risk of T2DM and hypertension in pregnant women with the pregnancy complication compared to pregnant women without the pregnancy complication. Summary estimates of each review were presented using tables, forest plots and narrative synthesis and reported following Preferred Reporting Items for Overviews of Reviews (PRIOR) guidelines. RESULTS Ten systematic reviews were included. Two pregnancy complications were identified. Gestational diabetes mellitus (GDM): One review showed GDM was associated with a 10-fold higher risk of T2DM at least 1 year after pregnancy (relative risk (RR) 9.51 (95% confidence interval (CI) 7.14 to 12.67) and although the association differed by ethnicity (white: RR 16.28 (95% CI 15.01 to 17.66), non-white: RR 10.38 (95% CI 4.61 to 23.39), mixed: RR 8.31 (95% CI 5.44 to 12.69)), the between subgroups difference were not statistically significant at 5% significance level. Another review showed GDM was associated with higher mean blood pressure at least 3 months postpartum (mean difference in systolic blood pressure: 2.57 (95% CI 1.74 to 3.40) mmHg and mean difference in diastolic blood pressure: 1.89 (95% CI 1.32 to 2.46) mmHg). Hypertensive disorders of pregnancy (HDP): Three reviews showed women with a history of HDP were 3 to 6 times more likely to develop hypertension at least 6 weeks after pregnancy compared to women without HDP (meta-analysis with largest number of studies: odds ratio (OR) 4.33 (3.51 to 5.33)) and one review reported a higher rate of T2DM after HDP (hazard ratio (HR) 2.24 (1.95 to 2.58)) at least a year after pregnancy. One of the three reviews and five other reviews reported women with a history of preeclampsia were 3 to 7 times more likely to develop hypertension at least 6 weeks postpartum (meta-analysis with the largest number of studies: OR 3.90 (3.16 to 4.82) with one of these reviews reporting the association was greatest in women from Asia (Asia: OR 7.54 (95% CI 2.49 to 22.81), Europe: OR 2.19 (95% CI 0.30 to 16.02), North and South America: OR 3.32 (95% CI 1.26 to 8.74)). CONCLUSIONS GDM and HDP are associated with a greater risk of developing T2DM and hypertension. Common confounders adjusted for across the included studies in the reviews were maternal age, body mass index (BMI), socioeconomic status, smoking status, pre-pregnancy and current BMI, parity, family history of T2DM or cardiovascular disease, ethnicity, and time of delivery. Further research is needed to evaluate the value of embedding these pregnancy complications as part of assessment for future risk of T2DM and chronic hypertension.
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Affiliation(s)
- Steven Wambua
- Institute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Edgbaston, Birmingham, UK.
| | - Megha Singh
- Institute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Edgbaston, Birmingham, UK
| | - Kelvin Okoth
- Institute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Edgbaston, Birmingham, UK
| | - Kym I E Snell
- Institute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Edgbaston, Birmingham, UK
| | - Richard D Riley
- Institute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Edgbaston, Birmingham, UK
| | - Christopher Yau
- Big Data Institute, University of Oxford, Li Ka Shing Centre for Health Information and Discovery, Old Road Campus, Oxford, OX3 7LF, UK
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Level 3 Women's Centre, John Radcliffe Hospital, Oxford, OX3 9DU, UK
- Health Data Research, London, UK
| | - Shakila Thangaratinam
- WHO Collaborating Centre for Global Women's Health, Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
- Department of Obstetrics and Gynaecology, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| | - Krishnarajah Nirantharakumar
- Institute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Edgbaston, Birmingham, UK
| | - Francesca L Crowe
- Institute of Applied Health Research, College of Medical and Dental Sciences, University of Birmingham, Edgbaston, Birmingham, UK
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22
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Nichols AR, Chavarro JE, Oken E. Reproductive risk factors across the female lifecourse and later metabolic health. Cell Metab 2024; 36:240-262. [PMID: 38280383 PMCID: PMC10871592 DOI: 10.1016/j.cmet.2024.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 12/08/2023] [Accepted: 01/05/2024] [Indexed: 01/29/2024]
Abstract
Metabolic health is characterized by optimal blood glucose, lipids, cholesterol, blood pressure, and adiposity. Alterations in these characteristics may lead to the development of type 2 diabetes mellitus or dyslipidemia. Recent evidence suggests that female reproductive characteristics may be overlooked as risk factors that contribute to later metabolic dysfunction. These reproductive traits include the age at menarche, menstrual irregularity, the development of polycystic ovary syndrome, gestational weight change, gestational dysglycemia and dyslipidemia, and the severity and timing of menopausal symptoms. These risk factors may themselves be markers of future dysfunction or may be explained by shared underlying etiologies that promote long-term disease development. Disentangling underlying relationships and identifying potentially modifiable characteristics have an important bearing on therapeutic lifestyle modifications that could ease long-term metabolic burden. Further research that better characterizes associations between reproductive characteristics and metabolic health, clarifies underlying etiologies, and identifies indicators for clinical application is warranted in the prevention and management of metabolic dysfunction.
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Affiliation(s)
- Amy R Nichols
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
| | - Jorge E Chavarro
- 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 and Harvard Medical School, Boston, MA, USA
| | - Emily Oken
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
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23
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Eskildsen FR, Davidsen E, Sørensen JB, Kragelund Nielsen K. Maternal responsibility and omission of complexity: an exploration of the portrayal of gestational diabetes mellitus in Danish written media. BMJ Open 2024; 14:e079772. [PMID: 38296270 PMCID: PMC10828855 DOI: 10.1136/bmjopen-2023-079772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 01/17/2024] [Indexed: 02/03/2024] Open
Abstract
OBJECTIVES Gestational diabetes mellitus (GDM) has implications for the future health of both mother and offspring, and there is a risk that mothers are held responsible and blamed for their own and their offspring's long-term health. The media plays a significant role in shaping public perceptions of health. Therefore, our study aimed to investigate how GDM and women with GDM are portrayed in Danish written media. DESIGN We identified written newspaper articles reporting on GDM from 2018 to 2019 and analysed them using thematic network analysis and elements from critical discourse analysis. RESULTS In total, 130 articles were included in the analysis. Four themes emerged: (1) ways of introducing GDM, (2) descriptions of causes and prevention of GDM, (3) descriptions of consequences of GDM and (4) value-laden descriptions of GDM. GDM was often mentioned in relation to other conditions or factors and with lack of differentiation. Maternal responsibility was emphasised via oversimplified descriptions of causal relations, descriptions of individual agency and no emphasis on structural causes and preventive measures. GDM was positioned as resulting in 'bad pregnancies' using value-laden wordings. CONCLUSION We identified various aspects of how GDM is portrayed in written media. The findings signal the importance of clear, nuanced and respectful communication on GDM, including conveying the complexity of the condition and the role of structural factors.
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Affiliation(s)
- Fiona Ryom Eskildsen
- Department of Prevention, Health Promotion and Community Care, Steno Diabetes Center Copenhagen, Herlev, Denmark
| | - Emma Davidsen
- Department of Prevention, Health Promotion and Community Care, Steno Diabetes Center Copenhagen, Herlev, Denmark
| | | | - Karoline Kragelund Nielsen
- Department of Prevention, Health Promotion and Community Care, Steno Diabetes Center Copenhagen, Herlev, Denmark
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24
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Mao L, Gao B, Chang H, Shen H. Interaction and Metabolic Pathways: Elucidating the Role of Gut Microbiota in Gestational Diabetes Mellitus Pathogenesis. Metabolites 2024; 14:43. [PMID: 38248846 PMCID: PMC10819307 DOI: 10.3390/metabo14010043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 12/29/2023] [Accepted: 01/02/2024] [Indexed: 01/23/2024] Open
Abstract
Gestational diabetes mellitus (GDM) is a complex metabolic condition during pregnancy with an intricate link to gut microbiota alterations. Throughout gestation, notable shifts in the gut microbial component occur. GDM is marked by significant dysbiosis, with a decline in beneficial taxa like Bifidobacterium and Lactobacillus and a surge in opportunistic taxa such as Enterococcus. These changes, detectable in the first trimester, hint as the potential early markers for GDM risk. Alongside these taxa shifts, microbial metabolic outputs, especially short-chain fatty acids and bile acids, are perturbed in GDM. These metabolites play pivotal roles in host glucose regulation, insulin responsiveness, and inflammation modulation, which are the key pathways disrupted in GDM. Moreover, maternal GDM status influences neonatal gut microbiota, indicating potential intergenerational health implications. With the advance of multi-omics approaches, a deeper understanding of the nuanced microbiota-host interactions via metabolites in GDM is emerging. The reviewed knowledge offers avenues for targeted microbiota-based interventions, holding promise for innovative strategies in GDM diagnosis, management, and prevention.
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Affiliation(s)
- Lindong Mao
- State Key Laboratory of Infectious Disease Vaccine Development, Xiang An Biomedicine Laboratory & State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, China; (L.M.); (B.G.); (H.C.)
| | - Biling Gao
- State Key Laboratory of Infectious Disease Vaccine Development, Xiang An Biomedicine Laboratory & State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, China; (L.M.); (B.G.); (H.C.)
| | - Hao Chang
- State Key Laboratory of Infectious Disease Vaccine Development, Xiang An Biomedicine Laboratory & State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, China; (L.M.); (B.G.); (H.C.)
| | - Heqing Shen
- State Key Laboratory of Infectious Disease Vaccine Development, Xiang An Biomedicine Laboratory & State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen 361102, China; (L.M.); (B.G.); (H.C.)
- Department of Obstetrics, Women and Children’s Hospital, School of Medicine, Xiamen University, Xiamen 361003, China
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25
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Quotah OF, Andreeva D, Nowak KG, Dalrymple KV, Almubarak A, Patel A, Vyas N, Cakir GS, Heslehurst N, Bell Z, Poston L, White SL, Flynn AC. Interventions in preconception and pregnant women at risk of gestational diabetes; a systematic review and meta-analysis of randomised controlled trials. Diabetol Metab Syndr 2024; 16:8. [PMID: 38178175 PMCID: PMC10765912 DOI: 10.1186/s13098-023-01217-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 11/13/2023] [Indexed: 01/06/2024] Open
Abstract
BACKGROUND Women at risk of gestational diabetes mellitus (GDM) need preventative interventions. OBJECTIVE To evaluate targeted interventions before and during pregnancy for women identified as being at risk of developing GDM. METHODS Systematic review and meta-analysis conducted following PRISMA guidelines. MEDLINE, EMBASE and the Cochrane Library in addition to reference and citation lists were searched to identify eligible randomised controlled trials (RCTs) utilising risk stratification during the preconception period or in the first/early second trimester. Screening and data extraction were carried out by the authors independently. Quality assessment was conducted based on the Cochrane risk-of-bias tool. Random effects meta-analysis and narrative synthesis were performed. RESULTS Eighty-four RCTs were included: two during preconception and 82 in pregnancy, with a pooled sample of 22,568 women. Interventions were behavioural (n = 54), dietary supplementation (n = 19) and pharmacological (n = 11). Predictive factors for risk assessment varied; only one study utilised a validated prediction model. Gestational diabetes was reduced in diet and physical activity interventions (risk difference - 0.03, 95% CI 0.06, - 0.01; I2 58.69%), inositol (risk difference - 0.19, 95% CI 0.33, - 0.06; I2 92.19%), and vitamin D supplements (risk difference - 0.16, 95% CI 0.25, - 0.06; I2 32.27%). Subgroup analysis showed that diet and physical activity interventions were beneficial in women with ≥ 2 GDM risk factors (risk difference - 0.16, 95% CI 0.25, - 0.07; I2 11.23%) while inositol supplementation was effective in women with overweight or obesity (risk difference - 0.17, 95% CI 0.22, - 0.11; I2 0.01%). Effectiveness of all other interventions were not statistically significant. CONCLUSIONS This review provides evidence that interventions targeted at women at risk of GDM may be an effective strategy for prevention. Further studies using validated prediction tools or multiple risk factors to target high-risk women for intervention before and during pregnancy are warranted.
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Affiliation(s)
- Ola F Quotah
- Department of Women and Children's Health, School of Life Course and Population Sciences, King's College London, London, UK.
- Department of Clinical Nutrition, Faculty of Applied Medical Science, King Abdulaziz University, Jeddah, Saudi Arabia.
| | - Daria Andreeva
- Department of Women and Children's Health, School of Life Course and Population Sciences, King's College London, London, UK
| | - Katarzyna G Nowak
- Department of Women and Children's Health, School of Life Course and Population Sciences, King's College London, London, UK
- Department of Nutrition and Dietetics, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Kathryn V Dalrymple
- Department of Nutritional Sciences, School of Life Course Sciences and Population Sciences, King's College London, London, UK
| | - Aljawharah Almubarak
- Department of Women and Children's Health, School of Life Course and Population Sciences, King's College London, London, UK
| | - Anjali Patel
- Department of Women and Children's Health, School of Life Course and Population Sciences, King's College London, London, UK
| | - Nirali Vyas
- Department of Women and Children's Health, School of Life Course and Population Sciences, King's College London, London, UK
| | - Gözde S Cakir
- Department of Women and Children's Health, School of Life Course and Population Sciences, King's College London, London, UK
| | - Nicola Heslehurst
- Population Health Sciences Institute, Newcastle University, Newcastle Upon Tyne, UK
| | - Zoe Bell
- Department of Nutritional Sciences, School of Life Course Sciences and Population Sciences, King's College London, London, UK
| | - Lucilla Poston
- Department of Women and Children's Health, School of Life Course and Population Sciences, King's College London, London, UK
| | - Sara L White
- Department of Women and Children's Health, School of Life Course and Population Sciences, King's College London, London, UK
| | - Angela C Flynn
- Department of Nutritional Sciences, School of Life Course Sciences and Population Sciences, King's College London, London, UK
- School of Population Health, Royal College of Surgeons in Ireland, Dublin, Ireland
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Ghanei A, Mohammadzade G, Gholami Banadkoki M, Meybodi AE. The predictive role of serum uric acid levels before pregnancy in the development of gestational diabetes mellitus. Diabetol Int 2024; 15:123-129. [PMID: 38264224 PMCID: PMC10800320 DOI: 10.1007/s13340-023-00662-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 08/29/2023] [Indexed: 01/25/2024]
Abstract
Objective With the prevalence of obesity, growing age of first pregnancy, highly processed high-calorie diet, consumption of saturated fats as well as sedentary and stressful life, the prevalence of gestational diabetes mellitus (GDM) is increasing. We aimed to determine the predictive role of pre-pregnancy serum uric acid levels and the occurrence of GDM during pregnancy. Methods This study was a descriptive-analytical study that was performed retrospectively through case-control. The Subjects of this study were women over 18 years of age who were 24-28 weeks pregnant. All subjects of this study were evaluated for GDM based on the ADA guideline and were divided into case and control groups. All data relating to the period of 6 months before pregnancy of the study participants including blood uric acid level, blood pressure, etc. were collected and analyzed. Results In this study, 454 normal individuals without GDM and 478 others with GDM were examined. The mean serum uric acid showed to be 4.47 ± 1.33 mg/dl in patients with GDM but 3.7 ± 1.25 mg/dl in patients without GDM (p value = 0.001). The results of the regression test showed that the incidence of GDM in people with blood uric acid levels of 4.1-5, 5.1-6, and more than 6 mg/dl is 2.46, 3.42, and 4.9 times higher in people with uric acid levels less than 3 mg/dl, respectively. Conclusion The present study identified that serum uric acid levels in the period of 6 months before pregnancy can be used as an independent predictor marker for future GDM.
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Affiliation(s)
- Azam Ghanei
- Department of Internal Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
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Davies M, van Houten CS, Bengtsson J, Elsenburg LK, Kragelund Nielsen K, Andersen GS, Damm P, Rod NH. Childhood adversity and the risk of gestational diabetes: A population-based cohort study of nulliparous pregnant women. Diabet Med 2024; 41:e15242. [PMID: 37845190 DOI: 10.1111/dme.15242] [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: 06/12/2023] [Revised: 09/22/2023] [Accepted: 10/09/2023] [Indexed: 10/18/2023]
Abstract
AIMS Gestational diabetes mellitus (GDM) is one of the most common pregnancy complications, and though it may be linked to childhood adversity, the effect of different types of adversity remains unclear. Childhood adversity is linked to a younger maternal age, which may hide the overall impact of adversity on GDM risk. We therefore aimed to explore the association between different types of childhood adversity and GDM while accounting for the potential impact of maternal age. METHODS We used Danish nation-wide register data, including 208,207 women giving birth for the first time from 2004 to 2018. Five adversity groups were used to examine the effect of childhood adversity on GDM risk: (1) low (referent group), (2) early life material deprivation, (3) persistent deprivation, (4) loss or threat of loss within the family and (5) high adversity. RESULTS 5375 women were diagnosed with GDM in the study population (2.6% absolute risk). Compared to women who experienced low adversity, the other adversity groups had a higher GDM risk (absolute difference [%]) directly; early material deprivation (0.64% [95% CI 0.44; 0.84]), persistent deprivation (0.63% [0.41; 0.86]), loss or threat of loss (0.73% [0.42; 1.05]) and high adversity (0.80% [0.32; 1.27]). The indirect effect of maternal age attenuated the total effect of childhood adversity on GDM by an absolute difference of 0.25%-0.46%. CONCLUSIONS Experiencing childhood adversity to any extent is associated with a higher risk of GDM. Interventions aimed at preventing childhood adversity may have a positive effect in reducing GDM burden and the associated health risks.
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Affiliation(s)
- Megan Davies
- Section of Epidemiology, University of Copenhagen, Copenhagen, Denmark
| | | | - Jessica Bengtsson
- Section of Epidemiology, University of Copenhagen, Copenhagen, Denmark
| | | | | | - Gregers S Andersen
- Steno Diabetes Center Copenhagen, Copenhagen University Hospital, Herlev, Denmark
| | - Peter Damm
- Center for Pregnant Women with Diabetes, Department of Obstetrics, Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Naja H Rod
- Section of Epidemiology, University of Copenhagen, Copenhagen, Denmark
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Li W, Wang L, Guo J, Dong W, Zhang S, Li W, Leng J. Seasonal variation and its interaction with pre-pregnancy BMI for GDM: a large population-based study in Tianjin, China. Sci Rep 2023; 13:22837. [PMID: 38129497 PMCID: PMC10739738 DOI: 10.1038/s41598-023-49609-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 12/10/2023] [Indexed: 12/23/2023] Open
Abstract
To evaluate the independent association of seasonal variation with GDM incidence in Tianjin, China, and to test whether there is an additive interaction between seasonal variation and pre-pregnancy body mass index (BMI) on GDM incidence. A population-based observational cohort study was conducted using the healthcare records data from Tianjin, China. Logistic regression was used to obtain odds ratios (ORs) and 95% confidence intervals (CIs). Additive interaction between pre-pregnancy BMI groups and seasons was estimated by using relative excess risk due to interaction (RERI), attributable proportion due to interaction (AP), and synergy index (S). Among the 112,639 pregnant women, 20.8% developed GDM at 24-28 weeks of gestation. The multivariable adjusted ORs and 95% CIs were 1.00, 1.00 (0.96-1.05), 1.15 (1.09-1.20) and 1.22 (1.16-1.29) respectively based on seasons (spring, summer, autumn and winter). Compared with the spring/summer and pre-pregnant BMI < 24 kg/m2 group, co-presence of autumn/winter and pre-pregnancy BMI ≥ 24 kg/m2 increased the OR from 1.00 to 2.70 (95% CI 2.28-3.20), with a significant additive interaction: RERI (0.32, 95% CI 0.19-0.45), S (1.21, 95% CI 1.12-1.31) and AP (0.11, 95% CI 0.07-0.16). Autumn/winter is an independent risk factor for GDM incidence, and can significantly amplify the obesity-associated risk for GDM incidence. The underlying mechanism warrants further investigations. We suggest that seasonality is an additional factor when interpreting OGTT results for the diagnosis of GDM.
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Affiliation(s)
- Weiqin Li
- Tianjin Women and Children's Health Center, Tianjin, 300070, China
| | - Leishen Wang
- Tianjin Women and Children's Health Center, Tianjin, 300070, China
| | - Jia Guo
- Tianjin Women and Children's Health Center, Tianjin, 300070, China
| | - Wei Dong
- Tianjin Women and Children's Health Center, Tianjin, 300070, China
| | - Shuang Zhang
- Tianjin Women and Children's Health Center, Tianjin, 300070, China
| | - Wei Li
- Tianjin Women and Children's Health Center, Tianjin, 300070, China
| | - Junhong Leng
- Tianjin Women and Children's Health Center, Tianjin, 300070, China.
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Stephenson J, Godfrey KM. How Does Current Evidence Inform Policy and Practice for Prepregnancy Health? Obstet Gynecol 2023; 142:1275-1277. [PMID: 37973065 DOI: 10.1097/aog.0000000000005433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2023]
Affiliation(s)
- Judith Stephenson
- Judith Stephenson is from the Institute for Women's Health, University College London, London, United Kingdom. Keith M. Godfrey is from the MRC Lifecourse Epidemiology Centre and NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom;
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O'Reilly SL, McAuliffe FM, Geraghty AA, Burden C, Davies A. Implementing weight management during and after pregnancy to reduce diabetes and CVD risk in maternal and child populations. Proc Nutr Soc 2023:1-12. [PMID: 38037711 DOI: 10.1017/s0029665123004883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2023]
Abstract
Maintaining a healthy weight during pregnancy is critical for both women's and children's health. Excessive gestational weight gain (GWG) can lead to complications such as gestational diabetes, hypertension and caesarean delivery. Insufficient GWG can cause fetal growth restriction and increase infant mortality risk. Additionally, postpartum weight retention raises risk of obesity, type 2 diabetes and other chronic diseases for both mother and child. This review seeks to identify current obstacles in weight management research during and after pregnancy and explore evidence-based strategies to overcome them. Pregnancy offers a window of opportunity for health behaviour changes as women are more receptive to education and have regular contact with health services. Staying within Institute of Medicine's recommended GWG ranges is associated with better maternal and fetal outcomes. Systematic review evidence supports structured diet and physical activity pregnancy interventions, leading to reduced GWG and fewer complications. Health economic evaluation indicates significant returns from implementation, surpassing investment costs due to decreased perinatal morbidity and adverse events. However, the most effective way to implement interventions within routine antenatal care remains unclear. Challenges increase in the postpartum period due to competing demands on women physically, mentally and socially, hindering intervention reach and retention. Flexible, technology-supported interventions are needed, requiring frameworks such as penetration-implementation-participation-effectiveness and template-for-intervention-description-and-replication for successful implementation. Greater research efforts are necessary to inform practice and investigate fidelity aspects through pragmatic implementation trials during the pregnancy and postpartum periods. Understanding the best ways to deliver interventions will empower women to maintain a healthy weight during their reproductive years.
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Affiliation(s)
- Sharleen L O'Reilly
- School of Agriculture and Food Science, University College Dublin College of Health Sciences, Dublin, Ireland
- UCD Perinatal Research Centre, National Maternity Hospital, University College Dublin School of Medicine, Dublin 2, Ireland
| | - Fionnuala M McAuliffe
- UCD Perinatal Research Centre, National Maternity Hospital, University College Dublin School of Medicine, Dublin 2, Ireland
| | - Aisling A Geraghty
- School of Agriculture and Food Science, University College Dublin College of Health Sciences, Dublin, Ireland
- UCD Perinatal Research Centre, National Maternity Hospital, University College Dublin School of Medicine, Dublin 2, Ireland
| | - Christy Burden
- Academic Women's Health Unit, Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Anna Davies
- Academic Women's Health Unit, Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
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Bielka W, Przezak A, Pawlik A. Follistatin and follistatin-like 3 in metabolic disorders. Prostaglandins Other Lipid Mediat 2023; 169:106785. [PMID: 37739334 DOI: 10.1016/j.prostaglandins.2023.106785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 09/02/2023] [Accepted: 09/16/2023] [Indexed: 09/24/2023]
Abstract
Follistatin (FST) is a glycoprotein which main role is antagonizing activity of transforming growth factor β superfamily members. Folistatin-related proteins such as follistatin-like 3 (FSTL3) also reveal these properties. The exact function of them has still not been established, but it can be bound to the pathogenesis of metabolic disorders. So far, there were performed a few studies about their role in type 2 diabetes, obesity or gestational diabetes and even less in type 1 diabetes. The outcomes are contradictory and do not allow to draw exact conclusions. In this article we summarize the available information about connections between follistatin, as well as follistatin-like 3, and metabolic disorders. We also emphasize the strong need of performing further research to explain their exact role, especially in the pathogenesis of diabetes and obesity.
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Affiliation(s)
- Weronika Bielka
- Department of Rheumatology and Internal Medicine, Pomeranian Medical University in Szczecin, 71-252 Szczecin, Poland
| | - Agnieszka Przezak
- Department of Rheumatology and Internal Medicine, Pomeranian Medical University in Szczecin, 71-252 Szczecin, Poland
| | - Andrzej Pawlik
- Department of Physiology, Pomeranian Medical University in Szczecin, 70-111 Szczecin, Poland.
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Wan J, Zhu J, Zeng J, Zhou H, He Y. Effect of Galactooligosaccharide on PPARs/PI3K/Akt Pathway and Gut Microbiota in High-Fat and High-Sugar Diet Combined with STZ-Induced GDM Rat Model. Probiotics Antimicrob Proteins 2023:10.1007/s12602-023-10186-z. [PMID: 37953344 DOI: 10.1007/s12602-023-10186-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/23/2023] [Indexed: 11/14/2023]
Abstract
Gestational diabetes mellitus (GDM) is a metabolic disorder, characterized by underlying glucose intolerance, diabetes onset or first diagnosis during pregnancy. Galactooligosaccharide (GOS) is essential for consumer protection as food supplementation. However, there is limited understanding of the effects of GOS on GDM. We successfully established a GDM rat model to explore GOS whether participated in PPARs/PI3K/Akt pathway and gut microbiota metabolites to treat for GDM. In this study, compared with the GDM group, GOS administration lowered the levels of TG, LDL-C, and HDL-C in rat serum, as well as improved the pathological changes pancreatic, liver, and kidney tissues. Compared with the GDM group, the protein expressions of PPARα, PPARγ, and PPARβ/δ markedly enhanced in GOS-treated groups (P < 0.01). Moreover, GOS administration upregulated the protein expressions of PPARα, PPARβ, PPARγ, PI3K, Akt, GLUT4, Bax, and Bcl2. GOS administration altered gut microbiota metabolites, including both SCFAs and BAs. Correlation analysis revealed close relationships between gut microbiota and experimental indicators. This study indicated that GOS effectively improved GDM in rats through the modulation of PPARs/PI3K/Akt pathway and gut microbiota. Thus, the GOS could be recommended as a candidate for novel therapy of GDM.
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Affiliation(s)
- Jiayang Wan
- The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China
| | - Jiaqi Zhu
- School of Basic Medicine Sciences, Zhejiang Chinese Medical University, Hangzhou, China
| | - Jieqiong Zeng
- School of Basic Medicine Sciences, Zhejiang Chinese Medical University, Hangzhou, China
| | - Huifen Zhou
- School of Basic Medicine Sciences, Zhejiang Chinese Medical University, Hangzhou, China.
| | - Yu He
- School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, China.
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Jensen NH, Kragelund Nielsen K, Dahl-Petersen IK, Kampmann U, Damm P, Ovesen P, Mathiesen ER, Vinter CA, Davidsen E, Thøgersen M, Timm A, Andersen LLT, Knorr S, Jensen DM, Maindal HT. Health promotion intervention among women with recent gestational diabetes mellitus: penetration, participation, and baseline findings from the Face-it randomized controlled trial. BMJ Open Diabetes Res Care 2023; 11:e003529. [PMID: 37793679 PMCID: PMC10551966 DOI: 10.1136/bmjdrc-2023-003529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 08/24/2023] [Indexed: 10/06/2023] Open
Abstract
INTRODUCTION Face-it is a randomized controlled trial for women with recent gestational diabetes mellitus (GDM) and their families designed to evaluate the effect of a health promotion intervention on type 2 diabetes mellitus (T2DM) risk and quality of life. This study examined (1) the penetration and participation rates for the Face-it trial, (2) the characteristics of the participating women and the potential differences in characteristics according to partner participation status, and (3) representativity of the women at baseline. RESEARCH DESIGN AND METHODS We identified women with GDM during pregnancy and invited them and their partners to a baseline examination 10-14 weeks after delivery. Representativity was assessed by comparing the baseline participants with non-participating women, the general population of women with GDM delivering in Denmark, and populations from other intervention trials. RESULTS The penetration rate was 38.0% (867/2279) and the participation rate was 32.9% (285/867). The 285 women who attended baseline had a mean age of 32.7 (±4.8) years and body mass index (BMI) of 28.1 (±5.4) kg/m2, and 69.8% had a partner who participated. The women participating with a partner were more often primiparous, born in Denmark (82.8% vs 68.2%), were younger, and more often had a BMI ≤24.9 kg/m2 (35.7% vs 21.2%) compared with women without a partner. Compared with the general population of women with GDM in Denmark, these women broadly had similar degree of heterogeneity, but had higher rates of primiparity and singleton deliveries, and lower rates of preterm delivery and prepregnancy obesity. CONCLUSIONS The penetration and participation rates were acceptable. We found a high rate of partner participation. Overall, women participating with a partner were comparable with those participating without a partner. Participating women were broadly similar to the general national GDM population, however with prepregnancy obesity, multiparity, preterm delivery, and multiple pregnancy being less represented. TRIAL REGISTRATION NUMBER NCT03997773.
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Affiliation(s)
| | - Karoline Kragelund Nielsen
- Health Promotion Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
| | - Inger Katrine Dahl-Petersen
- Health Promotion Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
| | - Ulla Kampmann
- Steno Diabetes Center Aarhus, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Peter Damm
- Center for Pregnant Women with Diabetes, Departments of Endocrinology and Obstetrics, Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Per Ovesen
- Steno Diabetes Center Aarhus, Aarhus, Denmark
- Department of Obstetrics, Aarhus University Hospital, Aarhus, Denmark
| | - Elisabeth Reinhardt Mathiesen
- Center for Pregnant Women with Diabetes, Departments of Endocrinology and Obstetrics, Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Christina Anne Vinter
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Department of Gynaecology and Obstetrics, Odense University Hospital, Odense, Denmark
| | - Emma Davidsen
- Department of Public Health, Aarhus University, Aarhus, Denmark
- Health Promotion Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
| | - Maja Thøgersen
- Department of Public Health, Aarhus University, Aarhus, Denmark
- Health Promotion Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
| | - Anne Timm
- Department of Public Health, Aarhus University, Aarhus, Denmark
- Health Promotion Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
| | | | - Sine Knorr
- Steno Diabetes Center Aarhus, Aarhus, Denmark
| | - Dorte Møller Jensen
- Department of Gynaecology and Obstetrics, Odense University Hospital, Odense, Denmark
- Steno Diabetes Center Odense, Odense, Denmark
| | - Helle Terkildsen Maindal
- Department of Public Health, Aarhus University, Aarhus, Denmark
- Health Promotion Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
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Azizi Z, Adedinsewo D, Rodriguez F, Lewey J, Merchant RM, Brewer LC. Leveraging Digital Health to Improve the Cardiovascular Health of Women. CURRENT CARDIOVASCULAR RISK REPORTS 2023; 17:205-214. [PMID: 37868625 PMCID: PMC10587029 DOI: 10.1007/s12170-023-00728-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/29/2023] [Indexed: 10/24/2023]
Abstract
Purpose of Review In this review, we present a comprehensive discussion on the population-level implications of digital health interventions (DHIs) to improve cardiovascular health (CVH) through sex- and gender-specific prevention strategies among women. Recent Findings Over the past 30 years, there have been significant advancements in the diagnosis and treatment of cardiovascular diseases, a leading cause of morbidity and mortality among men and women worldwide. However, women are often underdiagnosed, undertreated, and underrepresented in cardiovascular clinical trials, which all contribute to disparities within this population. One approach to address this is through DHIs, particularly among racial and ethnic minoritized groups. Implementation of telemedicine has shown promise in increasing adherence to healthcare visits, improving BP monitoring, weight control, physical activity, and the adoption of healthy behaviors. Furthermore, the use of mobile health applications facilitated by smart devices, wearables, and other eHealth (defined as electronically delivered health services) modalities has also promoted CVH among women in general, as well as during pregnancy and the postpartum period. Overall, utilizing a digital health approach for healthcare delivery, decentralized clinical trials, and incorporation into daily lifestyle activities has the potential to improve CVH among women by mitigating geographical, structural, and financial barriers to care. Summary Leveraging digital technologies and strategies introduces novel methods to address sex- and gender-specific health and healthcare disparities and improve the quality of care provided to women. However, it is imperative to be mindful of the digital divide in specific populations, which may hinder accessibility to these novel technologies and inadvertently widen preexisting inequities.
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Affiliation(s)
- Zahra Azizi
- Center for Digital Health, Stanford University, Stanford, CA USA
- Department of Cardiovascular Medicine and the Cardiovascular Institute, Stanford University, Stanford, CA USA
| | | | - Fatima Rodriguez
- Department of Cardiovascular Medicine and the Cardiovascular Institute, Stanford University, Stanford, CA USA
| | - Jennifer Lewey
- Department of Medicine, Division of Cardiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA USA
| | - Raina M. Merchant
- Center for Digital Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA USA
| | - LaPrincess C. Brewer
- Department of Cardiovascular Medicine, Mayo Clinic College of Medicine, Rochester, MN USA
- Center for Health Equity and Community Engagement Research, Mayo Clinic, Rochester, MN USA
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Li N, Li J, Wang H, Qiao Y, Li W, Gao M, Liu E, Yu Z, Hu G, Fang Z, Leng J, Yang X. Serum Sulfur-Containing Amino Acids and Risk of Maternal Gestational Diabetes and Adverse Growth Patterns in Offspring. Nutrients 2023; 15:4089. [PMID: 37764871 PMCID: PMC10537007 DOI: 10.3390/nu15184089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 09/15/2023] [Accepted: 09/20/2023] [Indexed: 09/29/2023] Open
Abstract
BACKGROUND To estimate associations of sulfur-containing amino acids (SAAs) in the early trimester of pregnancy and gestational diabetes mellitus (GDM) and estimate associations of maternal SAAs with adverse growth patterns in offspring. METHODS We established a 1:1 matched case-control study (n = 486) from our cohort of pregnant women, and 401 children were followed up at ages 1 to 8 years. We conducted binary conditional logistic regression to estimate the risk associations of serum SAAs with GDM. Multinomial logistic regression was implemented to explore associations of maternal SAAs with adverse growth patterns in the offspring. RESULTS High serum methionine and cystine were independently associated with increased GDM risk (OR: 1.92, 95%CI: 1.18-3.13 and 2.69, 1.59-4.53). Conversely, a low level of serum taurine was independently associated with increased GDM risk (2.61, 1.64-4.16). Maternal high cystine and low taurine were also associated with an increased risk of persistent obesity growth pattern (POGP) in offspring (OR: 2.79, 95%CI: 1.09-7.17 and 3.92, 1.11-13.89) and the effect was largely independent of GDM. CONCLUSIONS High serum methionine, cystine and low serum taurine in the early trimester of pregnancy were associated with a greatly increased risk of GDM. Maternal high cystine and low taurine were associated with elevated risk of offspring POGP, largely independent of GDM.
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Affiliation(s)
- Ninghua Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China; (N.L.); (J.L.); (H.W.); (M.G.)
| | - Jing Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China; (N.L.); (J.L.); (H.W.); (M.G.)
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China;
- Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Hui Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China; (N.L.); (J.L.); (H.W.); (M.G.)
| | - Yijuan Qiao
- Project Office, Tianjin Women and Children’s Health Center, Tianjin 300070, China; (Y.Q.); (W.L.); (E.L.)
| | - Weiqin Li
- Project Office, Tianjin Women and Children’s Health Center, Tianjin 300070, China; (Y.Q.); (W.L.); (E.L.)
| | - Ming Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China; (N.L.); (J.L.); (H.W.); (M.G.)
| | - Enqing Liu
- Project Office, Tianjin Women and Children’s Health Center, Tianjin 300070, China; (Y.Q.); (W.L.); (E.L.)
| | - Zhijie Yu
- Population Cancer Research Program and Department of Pediatrics, Dalhousie University, Halifax, NS 15000, Canada;
| | - Gang Hu
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA;
| | - Zhongze Fang
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China;
- Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Junhong Leng
- Project Office, Tianjin Women and Children’s Health Center, Tianjin 300070, China; (Y.Q.); (W.L.); (E.L.)
| | - Xilin Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China; (N.L.); (J.L.); (H.W.); (M.G.)
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China;
- Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
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Timm A, Kragelund Nielsen K, Alvesson HM, Jensen DM, Maindal HT. Motivation for Behavior Change among Women with Recent Gestational Diabetes and Their Partners-A Qualitative Investigation among Participants in the Face-It Intervention. Nutrients 2023; 15:3906. [PMID: 37764690 PMCID: PMC10535498 DOI: 10.3390/nu15183906] [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: 05/25/2023] [Revised: 08/26/2023] [Accepted: 09/06/2023] [Indexed: 09/29/2023] Open
Abstract
Promoting diet and physical activity is important for women with recent gestational diabetes mellitus (GDM) and their partners to reduce the risk of future type 2 diabetes (T2D). The study aimed to understand how motivation for changing diet and physical activity behaviors among women with recent GDM and their partners was experienced after participation in the Danish Face-it intervention. Fourteen couples' interviews were conducted. Data analysis followed a reflexive thematic analysis. Guided by self-determination theory and interdependence theory, we identified four themes affecting couples' motivation for health behavior change: (1) The need to feel understood after delivery; (2) adjusting health expectations; (3) individual and mutual preferences for health behaviors; and (4) the health threat of future T2D as a cue to action. We found that couples in general perceived the Face-it intervention as useful and motivating. Using couple interviews increased our understanding of how the women and partners influenced each other's perspectives after a GDM-affected pregnancy and thus how targeting couples as opposed to women alone may motivate health behavior change.
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Affiliation(s)
- Anne Timm
- Health Promotion Research, Copenhagen University Hospital—Steno Diabetes Center Copenhagen, 2730 Herlev, Denmark; (K.K.N.); (H.T.M.)
- Department of Public Health, Aarhus University, 8000 Aarhus, Denmark
| | - Karoline Kragelund Nielsen
- Health Promotion Research, Copenhagen University Hospital—Steno Diabetes Center Copenhagen, 2730 Herlev, Denmark; (K.K.N.); (H.T.M.)
| | | | - Dorte Møller Jensen
- Steno Diabetes Center Odense, Odense University Hospital, 5000 Odense, Denmark;
- Department of Gynaecology and Obstetrics, Odense University Hospital, 5000 Odense, Denmark
- Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, 5000 Odense, Denmark
| | - Helle Terkildsen Maindal
- Health Promotion Research, Copenhagen University Hospital—Steno Diabetes Center Copenhagen, 2730 Herlev, Denmark; (K.K.N.); (H.T.M.)
- Department of Public Health, Aarhus University, 8000 Aarhus, Denmark
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Belsti Y, Moran L, Handiso DW, Versace V, Goldstein R, Mousa A, Teede H, Enticott J. Models Predicting Postpartum Glucose Intolerance Among Women with a History of Gestational Diabetes Mellitus: a Systematic Review. Curr Diab Rep 2023; 23:231-243. [PMID: 37294513 PMCID: PMC10435618 DOI: 10.1007/s11892-023-01516-0] [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] [Accepted: 05/22/2023] [Indexed: 06/10/2023]
Abstract
PURPOSE OF REVIEW Despite the crucial role that prediction models play in guiding early risk stratification and timely intervention to prevent type 2 diabetes after gestational diabetes mellitus (GDM), their use is not widespread in clinical practice. The purpose of this review is to examine the methodological characteristics and quality of existing prognostic models predicting postpartum glucose intolerance following GDM. RECENT FINDINGS A systematic review was conducted on relevant risk prediction models, resulting in 15 eligible publications from research groups in various countries. Our review found that traditional statistical models were more common than machine learning models, and only two were assessed to have a low risk of bias. Seven were internally validated, but none were externally validated. Model discrimination and calibration were done in 13 and four studies, respectively. Various predictors were identified, including body mass index, fasting glucose concentration during pregnancy, maternal age, family history of diabetes, biochemical variables, oral glucose tolerance test, use of insulin in pregnancy, postnatal fasting glucose level, genetic risk factors, hemoglobin A1c, and weight. The existing prognostic models for glucose intolerance following GDM have various methodological shortcomings, with only a few models being assessed to have low risk of bias and validated internally. Future research should prioritize the development of robust, high-quality risk prediction models that follow appropriate guidelines, in order to advance this area and improve early risk stratification and intervention for glucose intolerance and type 2 diabetes among women who have had GDM.
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Affiliation(s)
- Yitayeh Belsti
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
| | - Lisa Moran
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
| | - Demelash Woldeyohannes Handiso
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
| | - Vincent Versace
- Deakin Rural Health, School of Medicine, Deakin University, Warrnambool, Australia
| | - Rebecca Goldstein
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
- Monash Health, Clayton, Melbourne, Australia
| | - Aya Mousa
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
| | - Helena Teede
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia
- Monash Health, Clayton, Melbourne, Australia
| | - Joanne Enticott
- Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Australia.
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Yıldız E, Ketenci Gencer F, Timur B, Laleli Koc B, Timur H. Is maternal serum endocan level a novel marker in gestational diabetes mellitus? J Obstet Gynaecol Res 2023; 49:2310-2316. [PMID: 37394770 DOI: 10.1111/jog.15733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 06/17/2023] [Indexed: 07/04/2023]
Abstract
AIM To determine whether there was a significant difference between serum endocan levels of pregnant women with and without gestational diabetes mellitus (GDM). METHODS A total of 90 pregnant women, 45 with gestational diabetes and 45 healthy pregnant women, between 24 and 28 gestational weeks, were included in this prospective case-control study. The pregnant women were screened for gestational diabetes using a two-step protocol. Serum endocan levels were measured using a commercially available enzyme-linked immunosorbent assay (ELISA) kit. A p-value of <0.05 was considered statistically significant. RESULTS Serum endocan level was significantly higher in the GDM group than in healthy controls (168.46 ± 160.6 vs. 105.66 ± 26.52 pg/mL, respectively; p < 0.001). Serum endocan concentrations were positively correlated with the results of 50 g oral glucose challenge test (GCT) (p < 0.001). Receiver operating characteristic curve analysis showed that endocan with a cut-off point of 133.9 ng/dL indicated women with GDM with a sensitivity of 55.6% and specificity of 88.9% (area under the curve [AUC]: 0.737, 95% CI: 0.634-0.824). The overall differential performance of endocan according to the GDM groups was determined as 73.7% (p < 0.001). Maternal serum endocan level was positively correlated with fasting glucose, postprandial glucose, and glycated hemoglobin (HbA1c) (p < 0.001). CONCLUSIONS Elevated endocan levels in gestational diabetes were correlated with fasting glucose, postprandial glucose, HbA1c, and oral glucose tolerance test (OGTT) results. Despite the low sensitivity of 55.6% and the high specificity of 88.9%, we found a high differential performance rate indicating that serum endocan levels were important for the pathophysiology of GDM and should be investigated for the possibility of being a novel marker in larger populations.
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Affiliation(s)
- Elif Yıldız
- Department of Obstetrics and Gynecology, Gaziosmanpaşa Training and Research Hospital, İstanbul, Turkey
| | - Fatma Ketenci Gencer
- Department of Obstetrics and Gynecology, Gaziosmanpaşa Training and Research Hospital, İstanbul, Turkey
| | - Burcu Timur
- Department of Obstetrics and Gynecology, Ordu University Training and Research Hospital, Ordu, Turkey
| | - Bergen Laleli Koc
- Department of Obstetrics and Gynecology, Division of Perinatology, Ankara City Hospital, Ankara, Turkey
| | - Hakan Timur
- Department of Obstetrics and Gynecology, Division of Perinatology, Ordu University Training and Research Hospital, Ordu, Turkey
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Davidsen E, Terkildsen Maindal H, Byrne M, Kelstrup L, Ovesen P, Damm P, Kragelund Nielsen K. A qualitative investigation into the perceptions and experiences of the stigma attached to gestational diabetes mellitus among women in Denmark. Diabetes Res Clin Pract 2023; 203:110858. [PMID: 37516412 DOI: 10.1016/j.diabres.2023.110858] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 07/18/2023] [Accepted: 07/27/2023] [Indexed: 07/31/2023]
Abstract
AIM The aim of this study was to explore the perceptions of women with gestational diabetes mellitus (GDM) in Denmark, with a particular focus on GDM-specific stigma. METHOD We conducted semi-structured interviews with 20 women with GDM from January to May 2022. All interviews were transcribed and analysed abductively using Braun and Clarke's framework for applied reflexive analysis. RESULTS Five themes were identified, 1) victim-blaming narrative, 2) identity threat, 3) non-disclosure and anticipated stigma, 4) stigma in a clinical setting, and 5) stigma reduction in a clinical setting. Additionally, intersectionality was identified between GDM-specific stigma, notions of how to be a good mother, and stigma associated with having type 2 diabetes mellitus and overweight. Implications of GDM-specific stigma included suboptimal GDM care and management, i.e., not attending screening for GDM, and not wanting to disclose the diagnosis. CONCLUSION The impact of GDM-specific stigma on the informants' lives included some informants not accepting all services provided by the healthcare system, and some not wanting to identify with the diagnosis. These findings may help inform both healthcare personnel and future health promotion interventions to minimize the reproduction of a victim-blaming narrative and thereby promote well-being among women with GDM.
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Affiliation(s)
- Emma Davidsen
- Health Promotion Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark; Department of Public Health, Aarhus University, Aarhus, Denmark.
| | - Helle Terkildsen Maindal
- Health Promotion Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark; Department of Public Health, Aarhus University, Aarhus, Denmark.
| | - Molly Byrne
- Health Behaviour Change Research Group, School of Psychology, University of Galway, Ireland.
| | - Louise Kelstrup
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark; Department of Gynaecology and Obstetrics, Herlev University Hospital, Herlev, Denmark.
| | - Per Ovesen
- Department of Clinical Medicine - Department of Obstetrics and Gynaecology, Aarhus University Hospital, Aarhus, Denmark; Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark.
| | - Peter Damm
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark; Center for Pregnant Women with Diabetes, Department of Obstetrics, Rigshospitalet, Copenhagen, Denmark.
| | - Karoline Kragelund Nielsen
- Health Promotion Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark.
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Gao M, Li J, Li N, Li W, Zhang S, Zhang T, Wang H, Fang Z, Yu Z, Hu G, Leng J, Yang X. Circulating hyaluronidase in early pregnancy and increased risk of gestational diabetes in Chinese pregnant women: A nested case control study. Clin Chim Acta 2023; 548:117512. [PMID: 37598741 DOI: 10.1016/j.cca.2023.117512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Revised: 07/20/2023] [Accepted: 08/07/2023] [Indexed: 08/22/2023]
Abstract
BACKGROUND AND AIMS To explore association of serum hyaluronidase 1 (HYAL1) level in early pregnancy with gestational diabetes mellitus (GDM), and to examine interactive effects of HYAL1 with ceramides species on GDM risk. MATERIALS AND METHODS We conducted a 1:1 matched case-control study (n = 414) of pregnant women from 2010 to 2012 in Tianjin, China. Blood samples were collected at the first antenatal care visit (at a median of 10th gestational weeks). Binary conditional logistic regression and restricted cubic spline (RCS) analysis were used to examine full-range risk association between HYAL1 and GDM. Additive interactions and multiplicative interactions were employed to test interactive effects of HYAL1 with ceramides species on GDM risk. RESULTS Ln HYAL1 was linearly associated with GDM risk and the adjusted OR of HYAL1 ≥ vs. < its median for GDM was significant (1.65, 95%CI: 1.08-2.52). High HYAL1 markedly enhanced the ORs of high ceramide 18:0 for GDM from 2.31 (1.06-5.01) to 6.74 (2.85-16.0), and low ceramide 24:0 from 3.08 (1.33-7.11) to 8.15 (3.03-21.9), with significant additive interactions. CONCLUSIONS High HYAL1 in early pregnancy may increase the risk of GDM in Chinese women, possibly via enhancing the effects of high ceramide 18:0 and low ceramide 24:0 on GDM risk.
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Affiliation(s)
- Ming Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Jing Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China
| | - Ninghua Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Weiqin Li
- Project Office, Tianjin Women and Children's Health Center, Tianjin 300070, China
| | - Shuang Zhang
- Project Office, Tianjin Women and Children's Health Center, Tianjin 300070, China
| | - Tao Zhang
- Project Office, Tianjin Women and Children's Health Center, Tianjin 300070, China
| | - Hui Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Zhongze Fang
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Zhijie Yu
- Population Cancer Research Program and Department of Pediatrics, Dalhousie University, 15000 Halifax, Canada
| | - Gang Hu
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA
| | - Junhong Leng
- Project Office, Tianjin Women and Children's Health Center, Tianjin 300070, China.
| | - Xilin Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China; Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin 300070, China; Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin 300070, China.
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Dyck RF, Pahwa P, Karunanayake C, Osgood ND. The Contribution of Gestational Diabetes to Diabetes Risk Among First Nations and Non-First Nations Women in Saskatchewan: Results From the DIP: ORRIIGENSS Project. Can J Diabetes 2023; 47:509-518. [PMID: 37150508 DOI: 10.1016/j.jcjd.2023.04.017] [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: 11/24/2022] [Revised: 03/23/2023] [Accepted: 04/28/2023] [Indexed: 05/09/2023]
Abstract
OBJECTIVES Our aim in this study was to determine the risk for diabetes mellitus (DM) among Saskatchewan First Nations (FN) and non-FN women with prior gestational DM (GDM). METHODS Using Ministry of Health administrative databases, we conducted a retrospective cohort study of DM risk by GDM occurrence among FN and non-FN women giving birth from 1980 to 2009 and followed to March 31, 2013. We determined frequencies and odds ratios (ORs) of DM in women with/without prior GDM after stratifying by FN status, while adjusting for other DM determinants. Survival curves of women until DM diagnosis were obtained by prior GDM occurrence and stratified by ethnicity and total parity. RESULTS De-identified data were obtained for 202,588 women. Of those who developed DM, 2,074 of 10,114 (20.5%) had previously experienced GDM (811 of 3,128 [25.9%]) FN and 1,263 of 6,986 [18.1%] non-FN). Cumulative survival of women with prior GDM until DM was higher for FN than for non-FN women (82% vs 46%), but prior GDM was a stronger predictor of DM within the non-FN cohort (prior GDM vs no GDM: OR, 9.64 for non-FN; OR, 7.05 for FN). Finally, higher total parity interacted with prior GDM to increase DM risk in both groups. With prior GDM and parity ≥3, 93% of FN and 57% of non-FN women subsequently developed DM. CONCLUSIONS GDM is a leading determinant of T2DM among FN and non-FN women, amplified by higher parity. This contributes to earlier onset diabetes, affecting subsequent pregnancies and increasing risk for chronic diabetic complications. It may also factor into higher type 2 DM rates observed in FN women compared with men.
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Affiliation(s)
- Roland F Dyck
- Department of Medicine, Canadian Center for Health and Safety in Agriculture, University of Saskatchewan, Saskatoon, Saskatchewan, Canada; Department of Community Health and Epidemiology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.
| | - Punam Pahwa
- Department of Medicine, Canadian Center for Health and Safety in Agriculture, University of Saskatchewan, Saskatoon, Saskatchewan, Canada; Department of Community Health and Epidemiology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Chandima Karunanayake
- Department of Medicine, Canadian Center for Health and Safety in Agriculture, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | - Nathaniel D Osgood
- Department of Community Health and Epidemiology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada; Department of Computer Science, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
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Ikoh Rph CL, Tang Tinong R. The Incidence and Management of Type 2 Diabetes Mellitus After Gestational Diabetes Mellitus. Cureus 2023; 15:e44468. [PMID: 37664380 PMCID: PMC10471197 DOI: 10.7759/cureus.44468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/31/2023] [Indexed: 09/05/2023] Open
Abstract
Gestational diabetes mellitus (GDM) refers to a transient state of impaired glucose tolerance that develops during pregnancy, affecting a significant proportion of expectant mothers globally. This review aimed to comprehensively examine the subsequent incidence and management of type 2 diabetes mellitus (T2DM) in women who have previously experienced GDM. The transition from GDM to T2DM is a well-recognized continuum, with affected women facing an increased risk of developing T2DM postpartum. Several studies have demonstrated that women with a history of GDM face a substantially higher risk of developing T2DM compared to normoglycemic pregnant women. The long-term consequences of developing T2DM following GDM are significant, as it not only affects the health of the mother but also poses risks to the offspring. The most common risk factors associated with the progression of GDM to T2DM include pregnancy at an advanced age, insulin treatment during pregnancy, and delivering an overweight baby. As GDM women are at higher risk of developing T2DM, effective management strategies such as lifestyle changes, postpartum care, breastfeeding, screening tests, and gaining awareness of risk are crucial to mitigate the risk of T2DM in this population. The current review was conducted to guide healthcare providers and women with a history of GDM about the potential risks of T2DM and management strategies to prevent the condition. This review provides a summary of evidence on the incidence rate of T2DM in GDM patients, its associated risk factors, and approaches to mitigate this challenge.
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Affiliation(s)
- Chinyere L Ikoh Rph
- Endocrinology, Diabetes and Metabolism, John F. Kennedy University of Medicine Curacao, Willemstad, CUW
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Li N, Li J, Wang H, Liu J, Li W, Yang K, Huo X, Leng J, Yu Z, Hu G, Fang Z, Yang X. Aromatic Amino Acids and Their Interactions with Gut Microbiota-Related Metabolites for Risk of Gestational Diabetes: A Prospective Nested Case-Control Study in a Chinese Cohort. ANNALS OF NUTRITION & METABOLISM 2023; 79:291-300. [PMID: 37339616 DOI: 10.1159/000531481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 06/05/2023] [Indexed: 06/22/2023]
Abstract
INTRODUCTION The aim of this study was to explore associations of aromatic amino acids (AAA) in early pregnancy with gestational diabetes mellitus (GDM), and whether high AAA and gut microbiota-related metabolites had interactive effects on GDM risk. METHODS We conducted a 1:1 case-control study (n = 486) nested in a prospective cohort of pregnant women from 2010 to 2012. According to the International Association of Diabetes and Pregnancy Study Group's criteria, 243 women were diagnosed with GDM. Binary conditional logistic regression was performed to examine associations of AAA with GDM risk. Interactions between AAA and gut microbiota-related metabolites for GDM were examined using additive interaction measures. RESULTS High phenylalanine and tryptophan were associated with increased GDM risk (OR: 1.72, 95% CI: 1.07-2.78 and 1.66, 1.02-2.71). The presence of high trimethylamine (TMA) markedly increased the OR of high phenylalanine alone up to 7.95 (2.79-22.71), while the presence of low glycoursodeoxycholic acid (GUDCA) markedly increased the OR of high tryptophan alone up to 22.88 (5.28-99.26), both with significant additive interactions. Furthermore, high lysophosphatidylcholines (LPC18:0) mediated both interactive effects. CONCLUSIONS High phenylalanine may have an additive interaction with high TMA, while high tryptophan may have an additive interaction with low GUDCA toward increased risk of GDM, both being mediated via LPC18:0.
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Affiliation(s)
- Ninghua Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Jing Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
- Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
| | - Hui Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Jinnan Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Weiqin Li
- Project Office, Tianjin Women and Children's Health Center, Tianjin, China
| | - Kai Yang
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xiaoxu Huo
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
- Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
| | - Junhong Leng
- Project Office, Tianjin Women and Children's Health Center, Tianjin, China
| | - Zhijie Yu
- Population Cancer Research Program and Department of Pediatrics, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Gang Hu
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Zhongze Fang
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
- Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xilin Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
- Tianjin Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
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Pełech A, Ruszała M, Niebrzydowska-Tatus M, Bień K, Kimber-Trojnar Ż, Czuba M, Świstowska M, Leszczyńska-Gorzelak B. Do Serum Galectin-9 Levels in Women with Gestational Diabetes and Healthy Ones Differ before or after Delivery? A Pilot Study. Biomolecules 2023; 13:biom13040697. [PMID: 37189444 DOI: 10.3390/biom13040697] [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: 03/19/2023] [Revised: 04/16/2023] [Accepted: 04/19/2023] [Indexed: 05/17/2023] Open
Abstract
Gestational diabetes mellitus (GDM) is a common metabolic disease that occurs during pregnancy, with the placenta playing an important role in its pathophysiology. Currently, the role of galectin-9 in the development of GDM is unknown. The aim of this study was to compare galectin-9 concentrations in healthy pregnant women and those with GDM. Galectin-9 levels were assessed in serum samples taken both just before and after delivery, as well as in urine samples collected in the postpartum period. Maternal body composition and hydration status were evaluated using the bioelectrical impedance analysis (BIA) method. There were no statistically significant differences in the concentration of galectin-9 in women with GDM compared to healthy pregnant women in their serum samples taken just before delivery, nor in their serum and urine samples collected in the early postpartum period. However, serum galectin-9 concentrations taken before delivery were positively correlated with BMI and parameters related to the amount of adipose tissue assessed in the early postpartum period. Additionally, there was a correlation between serum galectin-9 concentrations taken before and after delivery. Galectin-9 is unlikely to become a diagnostic marker for GDM. However, this subject requires further clinical research in larger groups.
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Affiliation(s)
- Aleksandra Pełech
- Department of Obstetrics and Perinatology, Medical University of Lublin, 20-090 Lublin, Poland
| | - Monika Ruszała
- Department of Obstetrics and Perinatology, Medical University of Lublin, 20-090 Lublin, Poland
| | | | - Katarzyna Bień
- Department of Obstetrics and Perinatology, Medical University of Lublin, 20-090 Lublin, Poland
| | - Żaneta Kimber-Trojnar
- Department of Obstetrics and Perinatology, Medical University of Lublin, 20-090 Lublin, Poland
| | - Monika Czuba
- Department of Clinical Genetics, Medical University of Lublin, 20-080 Lublin, Poland
| | - Małgorzata Świstowska
- Department of Clinical Genetics, Medical University of Lublin, 20-080 Lublin, Poland
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45
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Huang QF, Hu YC, Wang CK, Huang J, Shen MD, Ren LH. Clinical First-Trimester Prediction Models for Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis. Biol Res Nurs 2023; 25:185-197. [PMID: 36218132 DOI: 10.1177/10998004221131993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) is a common pregnancy complication that negatively impacts the health of both the mother and child. Early prediction of the risk of GDM may permit prompt and effective interventions. This systematic review and meta-analysis aimed to summarize the study characteristics, methodological quality, and model performance of first-trimester prediction model studies for GDM. METHODS Five electronic databases, one clinical trial register, and gray literature were searched from the inception date to March 19, 2022. Studies developing or validating a first-trimester prediction model for GDM were included. Two reviewers independently extracted data according to an established checklist and assessed the risk of bias by the Prediction Model Risk of Bias Assessment Tool (PROBAST). We used a random-effects model to perform a quantitative meta-analysis of the predictive power of models that were externally validated at least three times. RESULTS We identified 43 model development studies, six model development and external validation studies, and five external validation-only studies. Body mass index, maternal age, and fasting plasma glucose were the most commonly included predictors across all models. Multiple estimates of performance measures were available for eight of the models. Summary estimates range from 0.68 to 0.78 (I2 ranged from 0% to 97%). CONCLUSION Most studies were assessed as having a high overall risk of bias. Only eight prediction models for GDM have been externally validated at least three times. Future research needs to focus on updating and externally validating existing models.
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Affiliation(s)
- Qi-Fang Huang
- School of Nursing, 33133Peking University, Beijing, China
| | - Yin-Chu Hu
- School of Nursing, 33133Peking University, Beijing, China
| | - Chong-Kun Wang
- School of Nursing, 33133Peking University, Beijing, China
| | - Jing Huang
- Florence Nightingale School of Nursing, 4616King's College London, London, UK
| | - Mei-Di Shen
- School of Nursing, 33133Peking University, Beijing, China
| | - Li-Hua Ren
- School of Nursing, 33133Peking University, Beijing, China
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46
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Jotic AZ, Stoiljkovic MM, Milicic TJ, Lalic KS, Lukic LZ, Macesic MV, Stanarcic Gajovic JN, Milovancevic MM, Pavlovic VR, Gojnic MG, Rafailovic DP, Lalic NM. Development of ALOHa-G Risk Score for Detecting Postpartum Dyslipidemia Among Normoglycemic Women with Previous Gestational Diabetes: Observational Cohort Study. Diabetes Ther 2023; 14:857-867. [PMID: 36930455 PMCID: PMC10126178 DOI: 10.1007/s13300-023-01387-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 02/14/2023] [Indexed: 03/18/2023] Open
Abstract
INTRODUCTION Previous gestational diabetes (pGD) is associated with a high risk of postpartum dyslipidemia (pD). Our study was aimed at investigating the prevalence of pD and estimating the risk for pD based on metabolic pregnancy parameters in normoglycemic women with pGD. METHODS 147 women with pGD and normoglycemia after delivery were divided into groups: A (n = 63) with pD and B (n = 84) with normal lipids, defined by the National Cholesterol Education Program's Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) Final Report (NCEP ATP III). We recorded age, body mass index (BMI) at conception, fasting glucose (FG), HbA1c, total cholesterol (TC), triglycerides (Tg), low-density lipoprotein (LDL-c), and high-density lipoprotein cholesterol (HDL-c) measured mid-pregnancy and 1-6 months after delivery. GD was diagnosed by 2 h oral glucose tolerance test (OGTT) between the 24th and the 28th week of gestation, which was repeated after delivery to confirm normoglycemia. RESULTS 42.8% had pD (group A) while 57.2% had normal lipids (group B). Group A was older (36.8 ± 2.7) than B (33.0 ± 4.2 years, p < 0.001) and had a higher BMI (A 31.2 ± 6.4 vs. B 25.5 ± 2.4 kg/m2, p < 0.001). Simultaneously, HbA1c and FG were higher in group A (5.4 ± 0.3, 5.1 ± 0.4) than B (5.2 ± 0.0%, p = 0.001; 4.8 ± 0.0 mmol/L, p < 0.001). Also, group A had higher TC, LDL-c, and Tg [6.6 (6.1-6.9); 4.2 ± 0.4; 2.9 ± 0.8] compared to B [6.2 (5.4-6.9), p < 0.001; 3.4 ± 0.9, p = 0.001; 2.5 ± 0.6, p < 0.001], while the two groups had comparable HDL-c (A: 1.2 ± 0.3 vs. B: 1.2 ± 0.2 mmol/L, p = 0.998). Calculating the cutoff for age, BMI, HbA1c, FG, LDL-c, and Tg (> 35 years, 26.4 kg/m2, 5.2%, 4.8, 3.9 and 2.7 mmol/L, respectively), univariate regression analysis showed a difference for each (p < 0.001). Allocating 1 point to each predictor, we developed ALOHa G score, which showed high accuracy (AUC 0.931, p < 0.001) for risk of pD in normoglycemic women with pGD. According to the ALOHa-G score, more women in group A were at high risk (≥ 4) and medium risk (= 3) (61.9; 34.9) for pD than in group B (4.8; 14.3), with a lower percentage at low risk for PD (≤ 2) in group A than in group B (3.2 vs. 81.0%). CONCLUSION Our results implied a remarkable occurrence of pD in normoglycemic women with pGD. Also, the ALOHa-G score was developed based on pregnancy metabolic predictors and could be used to identify normoglycemic women with pGD who are at high risk for pD.
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Affiliation(s)
- Aleksandra Z Jotic
- Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Center of Serbia, Dr. Subotica 13, 11000, Belgrade, Serbia.
- Faculty of Medicine, University of Belgrade, Dr. Subotica 8, 11000, Belgrade, Serbia.
| | - Milica M Stoiljkovic
- Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Center of Serbia, Dr. Subotica 13, 11000, Belgrade, Serbia
- Faculty of Medicine, University of Belgrade, Dr. Subotica 8, 11000, Belgrade, Serbia
| | - Tanja J Milicic
- Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Center of Serbia, Dr. Subotica 13, 11000, Belgrade, Serbia
- Faculty of Medicine, University of Belgrade, Dr. Subotica 8, 11000, Belgrade, Serbia
| | - Katarina S Lalic
- Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Center of Serbia, Dr. Subotica 13, 11000, Belgrade, Serbia
- Faculty of Medicine, University of Belgrade, Dr. Subotica 8, 11000, Belgrade, Serbia
| | - Ljiljana Z Lukic
- Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Center of Serbia, Dr. Subotica 13, 11000, Belgrade, Serbia
- Faculty of Medicine, University of Belgrade, Dr. Subotica 8, 11000, Belgrade, Serbia
| | - Marija V Macesic
- Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Center of Serbia, Dr. Subotica 13, 11000, Belgrade, Serbia
- Faculty of Medicine, University of Belgrade, Dr. Subotica 8, 11000, Belgrade, Serbia
| | - Jelena N Stanarcic Gajovic
- Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Center of Serbia, Dr. Subotica 13, 11000, Belgrade, Serbia
- Faculty of Medicine, University of Belgrade, Dr. Subotica 8, 11000, Belgrade, Serbia
| | - Mina M Milovancevic
- Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Center of Serbia, Dr. Subotica 13, 11000, Belgrade, Serbia
| | - Vedrana R Pavlovic
- Faculty of Medicine, University of Belgrade, Dr. Subotica 8, 11000, Belgrade, Serbia
- Faculty of Medicine, Institute for Medical Statistics and Informatics, University of Belgrade, Belgrade, Serbia
| | - Miroslava G Gojnic
- Faculty of Medicine, University of Belgrade, Dr. Subotica 8, 11000, Belgrade, Serbia
- Clinic for Gynecology and Obstetrics, University Clinical Center of Serbia, Visegradska 26, 11000, Belgrade, Serbia
| | - Djurdja P Rafailovic
- Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Center of Serbia, Dr. Subotica 13, 11000, Belgrade, Serbia
| | - Nebojsa M Lalic
- Clinic for Endocrinology, Diabetes and Metabolic Diseases, University Clinical Center of Serbia, Dr. Subotica 13, 11000, Belgrade, Serbia
- Faculty of Medicine, University of Belgrade, Dr. Subotica 8, 11000, Belgrade, Serbia
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Gao M, Wang H, Li W, Wang L, Li N, Qiao Y, Zhang T, Li J, Yu Z, Hu G, Leng J, Yang X. Maternal insulin resistance and maternal β-cell function during pregnancy for offspring overweight before 2 years of age among women with gestational diabetes. Pediatr Obes 2023; 18:e12995. [PMID: 36523130 DOI: 10.1111/ijpo.12995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 11/21/2022] [Accepted: 11/30/2022] [Indexed: 12/23/2022]
Abstract
OBJECTIVE To explore associations of maternal insulin resistance and β-cell dysfunction with offspring overweight before 24 months of age among children of Chinese women with gestational diabetes mellitus (GDM). METHODS Offspring of women with GDM (n = 901) who were enrolled in a lifestyle trial during pregnancy were followed up to 24 months of age in Tianjin, China. Restricted cubic spline analysis was performed to examine full-range associations of maternal homeostatic model assessment of insulin resistance (HOMA-IR) and β-cell function (HOMA-%β) with childhood overweight. Logistic regression was performed to obtain the odds ratios (ORs) and 95% confidence interval (CI) of maternal high HOMA-IR and low HOMA-%β at diagnosis of GDM for offspring overweight within 12 months of age and at 13-24 months of age. RESULTS Maternal high HOMA-IR was associated with an increased risk of offspring being overweight within 12 months of age and at 13-24 months of age (OR: 1.71, 95%CI: 1.12-2.62 & 1.89, 1.13-3.17, respectively). Maternal low HOMA-%β was associated with an increased risk of offspring being overweight at 13-24 months of age (1.64, 1.05-2.55). CONCLUSIONS Both maternal increased insulin resistance and decreased β-cell function at diagnosis of GDM were associated with elevated risk of offspring overweight in early childhood among Chinese women with GDM.
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Affiliation(s)
- Ming Gao
- 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
| | - Weiqin Li
- Project Office, Tianjin Women and Children's Health Centre, Tianjin, China
| | - Leishen Wang
- Project Office, Tianjin Women and Children's Health Centre, Tianjin, China
| | - Ninghua Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yijuan Qiao
- Project Office, Tianjin Women and Children's Health Centre, Tianjin, China
| | - Tao Zhang
- Project Office, Tianjin Women and Children's Health Centre, Tianjin, China
| | - 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 Medical University, Tianjin, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin, China
| | - Zhijie Yu
- Population Cancer Research Program, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Gang Hu
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Junhong Leng
- Project Office, Tianjin Women and Children's Health Centre, 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 Medical University, Tianjin, China.,Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin Medical University, Tianjin, China
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48
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Nielsen JH, Fonager K, Kristensen JK, Overgaard C. Effect of an electronic reminder of follow-up screening after pregnancy complicated by gestational diabetes mellitus: a randomized controlled trial. BMC Public Health 2023; 23:153. [PMID: 36690965 PMCID: PMC9872380 DOI: 10.1186/s12889-023-15060-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 01/16/2023] [Indexed: 01/24/2023] Open
Abstract
AIM To determine the effectiveness of despatching an electronic reminder of participation in screening for gestational diabetes. The reminder was sent to the women 1-8 years after delivery. METHODS A registry-based, randomized controlled trial in the North Denmark Region among women with gestational diabetes. Randomization was made, which included seven groups stratified by the child's birth year (2012-2018). The intervention group received standard care supplemented by an electronic reminder through a secure nationwide email system (n = 731), while the control group received only standard care (n = 732). The primary outcome was based on blood testing for diabetes (OGTT, HbA1c or fasting P-glucose). RESULTS A total of 471 (32.1%) women participated in screening. The primary outcome was experienced by 257 women (35.1%) in the intervention group and 214 women (29.2%) in the control group. The effect of the reminder seemed to increase with recipient's age, non-western origin, urban dwelling, and multiparity. Of those who participated in follow-up screening, 56 (3.8%) were diagnosed with type 2 diabetes. CONCLUSION Electronic reminders, based on the principles of informed choice and patient-centred care, to women have been shown to support life-long participation in follow-up screening. Attempts to further stimulation of coverage could however be considered. TRAIL REGISTRATION ISRCTN registry (22/04/2022, ISRCTN23558707).
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Affiliation(s)
- Jane Hyldgaard Nielsen
- Department of Midwifery, University College of Northern Denmark, Aalborg Øst, Denmark.
- Public Health and Epidemiology Group, Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.
- Research Center for Health and Applied Technology, University College of Northern Denmark, Aalborg, Denmark.
- DECIPH'er, Cardiff School of Social Sciences, Cardiff University, Cardiff, Wales.
| | - Kirsten Fonager
- Department of Social Medicine, Aalborg University Hospital, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | | | - Charlotte Overgaard
- Public Health and Epidemiology Group, Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
- Unit of Health Promotion, Department of Public Health, University of Southern Denmark, Esbjerg, Denmark
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Adam S, McIntyre HD, Tsoi KY, Kapur A, Ma RC, Dias S, Okong P, Hod M, Poon LC, Smith GN, Bergman L, Algurjia E, O'Brien P, Medina VP, Maxwell CV, Regan L, Rosser ML, Jacobsson B, Hanson MA, O'Reilly SL, McAuliffe FM. Pregnancy as an opportunity to prevent type 2 diabetes mellitus: FIGO Best Practice Advice. Int J Gynaecol Obstet 2023; 160 Suppl 1:56-67. [PMID: 36635082 PMCID: PMC10107137 DOI: 10.1002/ijgo.14537] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
Gestational diabetes (GDM) impacts approximately 17 million pregnancies worldwide. Women with a history of GDM have an 8-10-fold higher risk of developing type 2 diabetes and a 2-fold higher risk of developing cardiovascular disease (CVD) compared with women without prior GDM. Although it is possible to prevent and/or delay progression of GDM to type 2 diabetes, this is not widely undertaken. Considering the increasing global rates of type 2 diabetes and CVD in women, it is essential to utilize pregnancy as an opportunity to identify women at risk and initiate preventive intervention. This article reviews existing clinical guidelines for postpartum identification and management of women with previous GDM and identifies key recommendations for the prevention and/or delayed progression to type 2 diabetes for global clinical practice.
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Affiliation(s)
- Sumaiya Adam
- Department of Obstetrics and Gynecology, School of Medicine, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa.,Diabetes Research Centre, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| | - Harold David McIntyre
- Mater Health, University of Queensland, Mater Health Campus, South Brisbane, Queensland, Australia
| | - Kit Ying Tsoi
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
| | | | - Ronald C Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.,Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong, China
| | - Stephanie Dias
- Biomedical Research and Innovation Platform (BRIP), South African Medical Research Council, Cape Town, South Africa
| | - Pius Okong
- Department of Obstetrics and Gynecology, St Francis Hospital Nsambya, Kampala City, Uganda
| | - Moshe Hod
- Helen Schneider Hospital for Women, Rabin Medical Center, Petah Tikva, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Liona C Poon
- Department of Obstetrics and Gynecology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China
| | - Graeme N Smith
- Department of Obstetrics and Gynecology, Kingston Health Sciences Centre, Queen's University, Kingston, Ontario, Canada
| | - Lina Bergman
- Department of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.,Department of Obstetrics and Gynecology, Stellenbosch University, Cape Town, South Africa.,Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
| | - Esraa Algurjia
- The World Association of Trainees in Obstetrics and Gynecology (WATOG), Paris, France.,Elwya Maternity Hospital, Baghdad, Iraq
| | - Patrick O'Brien
- Institute for Women's Health, University College London, London, UK
| | - Virna P Medina
- Department of Obstetrics and Gynecology, Faculty of Health, Universidad del Valle, Clínica Imbanaco Quirón Salud, Universidad Libre, Cali, Colombia
| | - Cynthia V Maxwell
- Maternal Fetal Medicine, Sinai Health and Women's College Hospital University of Toronto, Ontario, Canada
| | | | - Mary L Rosser
- Department of Obstetrics and Gynecology, Columbia University Irving Medical Center, New York, New York, USA
| | - Bo Jacobsson
- Department of Obstetrics and Gynecology, Sahlgrenska University Hospital/Ostra, Gothenburg, Sweden.,Department of Genetics and Bioinformatics, Domain of Health Data and Digitalisation, Institute of Public Health, Oslo, Norway
| | - Mark A Hanson
- Institute of Developmental Sciences, University Hospital Southampton, Southampton, UK.,NIHR Southampton Biomedical Research Centre, University of Southampton, Southampton, UK
| | - Sharleen L O'Reilly
- UCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin, Ireland.,School of Agriculture and Food Science, University College Dublin, Dublin, Ireland
| | - Fionnuala M McAuliffe
- UCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin, Ireland
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50
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Primary care nurse practitioner practices to lower type 2 diabetes risks in women with a history of gestational diabetes mellitus. J Am Assoc Nurse Pract 2023; 35:21-31. [PMID: 36602475 DOI: 10.1097/jxx.0000000000000782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 09/01/2022] [Indexed: 01/06/2023]
Abstract
BACKGROUND Women with a gestational diabetes mellitus (GDM) history have increased lifetime type 2 diabetes (T2D) risk, with 16 times greater risk 3 to 6 years after the pregnancy, compared with women without GDM. Offspring from diabetes-complicated pregnancies also face increased health risks. PURPOSE The study purpose was to describe the primary care practices of nurse practitioners (NPs) aimed at reducing T2D-related health risks in women with a history of GDM. METHODOLOGY Florida-licensed primary care NPs (n = 47) completed a 57-item online survey that included an 8-item scale about recommended practices to reduce T2D risks for women with GDM history. Descriptive statistics, Chi Square test, and Fisher exact test were conducted. RESULTS Most (67%) participants "often/always" screened for T2D every 1-3 years per guidelines, but only 31.8% "often/always" advised about pregnancy planning/preconception T2D assessment. Compared with "none" or ≤2 hours of GDM care education, participants with >2 hours were more likely (p < .05) to "often/always" perform five recommended practices: 1) counsel about increased T2D risks; 2) educate about self-advocacy for T2D screening; 3) T2D screening every 1-3 years; 4) counsel about breastfeeding to reduce T2D risk; and 5) discuss postpartum weight loss and increased physical activity to lower T2D risk. CONCLUSION Findings indicate inconsistent care practices and suggest that >2 hours of education about care of women with GDM history may increase primary care NPs performing recommended practices to reduce T2D risks and prevent health problems for women and future offspring. IMPLICATIONS Nurse practitioner education is needed involving care of women with GDM history to mitigate risks for T2D.
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