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Jung AR, Seo Y, Lee J, Hwang JG, Yun S, Lee DT. Recent Findings on Exercise Therapy for Blood Glucose Management in Patients with Gestational Diabetes. J Clin Med 2024; 13:5004. [PMID: 39274217 PMCID: PMC11396605 DOI: 10.3390/jcm13175004] [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: 07/30/2024] [Revised: 08/19/2024] [Accepted: 08/21/2024] [Indexed: 09/16/2024] Open
Abstract
Inadequate management of blood glucose levels in gestational diabetes mellitus (GDM) poses risks for both pregnant women and the developing fetus. Attaining appropriate blood glucose control is crucial to mitigate potential adverse outcomes. This study aimed to consolidate the latest guidelines from representative professional societies, providing insights into exercise therapy for GDM patients and suggesting potential avenues for future research. The review was conducted with up-to-date exercise guidelines from prominent societies, such as the American College of Obstetricians and Gynecologists (ACOG), the Society of Obstetricians and Gynecologists of Canada (SOGC), the Canadian Society for Exercise Physiology (CSEP), the American College of Sports Medicine, the American Diabetes Association (ADA), and the Korean Diabetes Association. The ACOG and SOGC/CSEP recommend 150 min of low to moderate intensity exercise, 3-4 times a week, combining aerobic and resistance exercises. All guidelines advise against activities involving sudden directional changes, physical contact, a risk of falling, and exercises performed lying down. Despite cautions from the ADA and ACOG on blood glucose fluctuations during physical activity, the lack of specific methods and recommendations from other societies reveals a notable gap in evidence-based guidelines for GDM. For effective and safe blood glucose management in GDM patients, further research should be conducted on the exercise-related precautions outlined for GDM patients. Establishing ample evidence would facilitate the development of customized exercise guidelines for GDM patients.
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Affiliation(s)
- Ah Reum Jung
- Exercise Physiology Laboratory, Kookmin University, Seoul 02707, Republic of Korea
| | - Yongsuk Seo
- Exercise Physiology Laboratory, Kookmin University, Seoul 02707, Republic of Korea
| | - Jooyoung Lee
- Exercise Physiology Laboratory, Kookmin University, Seoul 02707, Republic of Korea
| | - Jae Gu Hwang
- Exercise Physiology Laboratory, Kookmin University, Seoul 02707, Republic of Korea
| | - Somi Yun
- Exercise Physiology Laboratory, Kookmin University, Seoul 02707, Republic of Korea
| | - Dae Taek Lee
- Exercise Physiology Laboratory, Kookmin University, Seoul 02707, Republic of Korea
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Hotta S, Kytö M, Koivusalo S, Heinonen S, Marttinen P. Optimizing postprandial glucose prediction through integration of diet and exercise: Leveraging transfer learning with imbalanced patient data. PLoS One 2024; 19:e0298506. [PMID: 39088422 PMCID: PMC11293722 DOI: 10.1371/journal.pone.0298506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 07/11/2024] [Indexed: 08/03/2024] Open
Abstract
BACKGROUND In recent years, numerous methods have been introduced to predict glucose levels using machine-learning techniques on patients' daily behavioral and continuous glucose data. Nevertheless, a definitive consensus remains elusive regarding modeling the combined effects of diet and exercise for optimal glucose prediction. A notable challenge is the propensity for observational patient datasets from uncontrolled environments to overfit due to skewed feature distributions of target behaviors; for instance, diabetic patients seldom engage in high-intensity exercise post-meal. METHODS In this study, we introduce a unique application of Bayesian transfer learning for postprandial glucose prediction using randomized controlled trial (RCT) data. The data comprises a time series of three key variables: continuous glucose levels, exercise expenditure, and carbohydrate intake. For building the optimal model to predict postprandial glucose levels we initially gathered balanced training data from RCTs on healthy participants by randomizing behavioral conditions. Subsequently, we pretrained the model's parameter distribution using RCT data from the healthy cohort. This pretrained distribution was then adjusted, transferred, and utilized to determine the model parameters for each patient. RESULTS The efficacy of the proposed method was appraised using data from 68 gestational diabetes mellitus (GDM) patients in uncontrolled settings. The evaluation underscored the enhanced performance attained through our method. Furthermore, when modeling the joint impact of diet and exercise, the synergetic model proved more precise than its additive counterpart. CONCLUSION An innovative application of the transfer-learning utilizing randomized controlled trial data can improve the challenging modeling task of postprandial glucose prediction for GDM patients, integrating both dietary and exercise behaviors. For more accurate prediction, future research should focus on incorporating the long-term effects of exercise and other glycemic-related factors such as stress, sleep.
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Affiliation(s)
- Shinji Hotta
- Department of Computer Science, Aalto University, Espoo, Finland
- Fujitsu Limited, Kawasaki, Japan
| | - Mikko Kytö
- IT Management, Helsinki University Hospital, Helsinki, Finland
- Department of Computer Science, University of Helsinki, Helsinki, Finland
| | - Saila Koivusalo
- Shared Group Services, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Seppo Heinonen
- Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
| | - Pekka Marttinen
- Department of Computer Science, Aalto University, Espoo, Finland
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Moholdt T, Sujan MAJ, Ashby ER, Beetham K. Interval training and cardiometabolic health in reproductive-aged females. Appl Physiol Nutr Metab 2024; 49:993-1001. [PMID: 38478956 DOI: 10.1139/apnm-2023-0498] [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] [Indexed: 04/30/2024]
Abstract
Physical activity and exercise training are especially important for reproductive-aged females as exercise-induced health benefits can also affect their infants. However, levels of physical inactivity remain high among females in this age group, before, during, and after pregnancy. There is a great need for practical and feasible exercise modes to increase adherence to exercise in this population, and interval training may be a time-efficient training modality. Interval training is a form of exercise involving intermittent bouts of intense effort interspersed with recovery periods of rest or lower-intensity exercise. A substantial amount of research indicates that interval training induces superior cardiometabolic health benefits compared with iso-energetic moderate-intensity continuous exercise. This review provides a comprehensive overview of research on interval training interventions in reproductive-aged females across various life stages, focusing on the cardiometabolic health benefits. We discuss the potential role of interval training in premenopausal females with overweight/obesity, polycystic ovary syndrome, and subfertility, as well as the potential influence of oral contraceptives on cardiometabolic adaptations to interval training. Furthermore, this review also highlights recent findings supporting the beneficial role of high-intensity interval training for cardiometabolic health outcomes during pregnancy. In summary, the existing evidence suggests that interval training can improve several cardiometabolic and reproductive outcomes in females spanning different life stages. However, more research is needed to further strengthen the evidence-base for physical activity recommendations for females in their reproductive years of life.
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Affiliation(s)
- T Moholdt
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Women's Health, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - M A J Sujan
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Women's Health, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - E R Ashby
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
| | - K Beetham
- School of Behavioural and Health Sciences, Australian Catholic University, Brisbane, QLD, Australia
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Christie HE, Winter M, Meyer BJ, Francois ME. Diagnosis to Delivery: A Randomized Clinical Trial of Postmeal Walking in Women with Gestational Diabetes. Med Sci Sports Exerc 2024; 56:860-867. [PMID: 38233988 DOI: 10.1249/mss.0000000000003382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
PURPOSE The aim of this study was to determine whether advice to perform postmeal walking could be an effective and feasible alternate to standard care continuous walking for the management of gestational diabetes (GDM). METHODS Forty women with GDM were randomized between 28 and 30 wk of gestation into either standard care (CTL; 30-min continuous walking, most days per week) or standard care with advice to PMW (daily 10-min walks after three main meals) for ~7 wk. The primary outcome for this randomized controlled trial was postprandial glucose assessed by continuous glucose monitors. Continuous glucose monitor and ActivPAL inclinometers (physical activity parameters) were each worn for 7 d at ~28 and ~35 wk gestation. Delivery outcomes were also collected. A linear mixed model compared the changes across time between groups. RESULTS Twenty-six women (PMW: n = 12, CTL: n = 14; age 34 ± 5 y) completed the trial. Mean 3 h postprandial glucose at dinner was higher in the PMW versus CTL group at baseline and across the intervention (main effect group, P = 0.04). Twenty-four hours, nocturnal, and fasting glucose were similar between groups. The PMW group spent ~57 min·d -1 more time sedentary and ~11 min·d -1 less time stepping versus CTL (main effect group: P = 0.02 and 0.05). Adherence to the prescribed 30 min·d -1 of physical activity was high, regardless of whether accumulated as 3 × 10-min or one single bout of walking. CONCLUSIONS Distributing activity as 10-min bouts after main meals did not improve postprandial glucose outcomes compared with standard-care control. More research on the optimal duration and intensity of postmeal walks to improve postprandial responses are needed. Strategies that mitigate sedentary time and increase the minutes of physical activity accumulated across the day in pregnancy are also warranted.
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Affiliation(s)
| | - Meagan Winter
- Illawarra Shoalhaven Local Health District Diabetes Service, Wollongong, New South Wales, AUSTRALIA
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Supports and Barriers to Lifestyle Interventions in Women with Gestational Diabetes Mellitus in Australia: A National Online Survey. Nutrients 2023; 15:nu15030487. [PMID: 36771195 PMCID: PMC9921280 DOI: 10.3390/nu15030487] [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] [Received: 11/29/2022] [Revised: 01/11/2023] [Accepted: 01/13/2023] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) affects approximately one in six pregnancies, causing a significant burden on maternal and infant health. Lifestyle interventions are first-line therapies to manage blood glucose levels (BGLs) and prevent future cardiometabolic complications. However, women with GDM experience considerable barriers to lifestyle interventions; thus, the aim of this study was to determine how women with GDM manage their condition and to identify the primary supports and barriers to lifestyle intervention participation. METHODS An online cross-sectional survey of women in Australia with a history of GDM was conducted. Questions included participant demographics, strategies used to manage BGLs, physical activity and dietary habits, and barriers and supports to lifestyle interventions. RESULTS A total of 665 individuals consented and responded to the advertisement, of which 564 were eligible and provided partial or complete responses to the survey questions. Most respondents were between 35 and 39 years of age (35.5%), not pregnant (75.4%), working part-time (26.7%), university-educated (58.0%), and had only one child (40.1%). Most respondents managed their BGLs through diet (88.3%), with "low-carbohydrate" diets being the most popular (72.3%), and 46.2% of respondents were undertaking insulin therapy. Only 42.2% and 19.8% of respondents reported meeting the aerobic and strengthening exercise recommendations, respectively. Women with one child or currently pregnant expecting their first child were 1.51 times more likely (95% CI, 1.02, 2.25) to meet the aerobic exercise recommendations than those with two or more children. The most common reported barriers to lifestyle intervention participation were "lack of time" (71.4%) and "childcare" commitments (57.7%). Lifestyle interventions delivered between 6 and 12 months postpartum (59.0%), involving an exercise program (82.6%), and delivered one-on-one were the most popular (64.9%). CONCLUSION Most women report managing their GDM with lifestyle strategies. The most common strategies reported involve approaches not currently included in the clinical practice guidelines such as reducing carbohydrate consumption. Furthermore, despite being willing to participate in lifestyle interventions, respondents report significant barriers, including lack of time and childcare commitments, whereas mentioned supports included having an online format. Lifestyle interventions for women with a history of GDM should be designed in a manner that is both tailored to the individual and considerate of existing barriers and supports to participation.
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Exploring the relationship between regular physical activity and the 24-hour glucose cycle in gestational glucose intolerance and gestational diabetes mellitus. Am J Obstet Gynecol 2023; 228:100-102. [PMID: 36088987 DOI: 10.1016/j.ajog.2022.09.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 09/02/2022] [Accepted: 09/06/2022] [Indexed: 01/26/2023]
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Christie HE, Chang CR, Jardine IR, Francois ME. Three short postmeal walks as an alternate therapy to continuous walking for women with gestational diabetes. Appl Physiol Nutr Metab 2022; 47:1031-1037. [PMID: 35985050 DOI: 10.1139/apnm-2021-0619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
The purpose of this study was to determine whether postmeal walking (breaking up exercise into short bouts after meals) is an effective and feasible alternate to continuous walking for the management of gestational diabetes. Forty-one women with gestational diabetes were randomised between wk 28-30 gestation to either standard-care (30-min continuous exercise) or standard-care with postmeal walking (10-min of walking after breakfast, lunch and dinner). Continuous glucose and activity monitors were worn to measure glycaemic control and adherence during three-days of standard-care (baseline) followed by three-days of postmeal or continuous walking. A linear mixed model analysed the changes from baseline between postmeal and continuous walking, as an average of the three-day periods. Thirty-two women (postmeal walking n=17: control n=15, 33±5 y, body mass index 25±4 kg.m2) completed the trial. Postprandial and overnight glucose concentrations were similar between postmeal walking and control, both interventions improved from baseline. There was no difference in adherence between groups, however postmeal walking completed more minutes of prescribed physical activity across baseline and intervention days compared to the continuous walking standard-care group. Preliminary findings from this proof-of-concept study suggest postmeal walking could be a promising alternative to, and work interchangeably with, traditional advice to perform continuous moderate-intensity physical activity, in women with gestational diabetes. Novelty bullets -Three ten-minute postmeal walks may be comparable to thirty minutes continuous walking for glucose control in women with gestational diabetes - Accumulating activity in short bouts after meals is a feasible alternate to continuous exercise for women with gestational diabetes.
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Affiliation(s)
- Hannah E Christie
- University of Wollongong, Wollongong, New South Wales, Australia.,Illawarra Health and Medical Research Institute, Wollongong, New South Wales, Australia;
| | - Courtney R Chang
- University of Wollongong, Wollongong, New South Wales, Australia.,Illawarra Health and Medical Research Institute, Wollongong, New South Wales, Australia;
| | | | - Monique E Francois
- University of Wollongong, Wollongong, New South Wales, Australia.,Illawarra Health and Medical Research Institute, Wollongong, New South Wales, Australia;
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