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      Mothers after Gestational Diabetes in Australia (MAGDA): A Randomised Controlled Trial of a Postnatal Diabetes Prevention Program

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          Abstract

          Background

          Gestational diabetes mellitus (GDM) is an increasingly prevalent risk factor for type 2 diabetes. We evaluated the effectiveness of a group-based lifestyle modification program in mothers with prior GDM within their first postnatal year.

          Methods and Findings

          In this study, 573 women were randomised to either the intervention ( n = 284) or usual care ( n = 289). At baseline, 10% had impaired glucose tolerance and 2% impaired fasting glucose. The diabetes prevention intervention comprised one individual session, five group sessions, and two telephone sessions. Primary outcomes were changes in diabetes risk factors (weight, waist circumference, and fasting blood glucose), and secondary outcomes included achievement of lifestyle modification goals and changes in depression score and cardiovascular disease risk factors. The mean changes (intention-to-treat [ITT] analysis) over 12 mo were as follows: −0.23 kg body weight in intervention group (95% CI −0.89, 0.43) compared with +0.72 kg in usual care group (95% CI 0.09, 1.35) (change difference −0.95 kg, 95% CI −1.87, −0.04; group by treatment interaction p = 0.04); −2.24 cm waist measurement in intervention group (95% CI −3.01, −1.42) compared with −1.74 cm in usual care group (95% CI −2.52, −0.96) (change difference −0.50 cm, 95% CI −1.63, 0.63; group by treatment interaction p = 0.389); and +0.18 mmol/l fasting blood glucose in intervention group (95% CI 0.11, 0.24) compared with +0.22 mmol/l in usual care group (95% CI 0.16, 0.29) (change difference −0.05 mmol/l, 95% CI −0.14, 0.05; group by treatment interaction p = 0.331). Only 10% of women attended all sessions, 53% attended one individual and at least one group session, and 34% attended no sessions. Loss to follow-up was 27% and 21% for the intervention and control groups, respectively, primarily due to subsequent pregnancies. Study limitations include low exposure to the full intervention and glucose metabolism profiles being near normal at baseline.

          Conclusions

          Although a 1-kg weight difference has the potential to be significant for reducing diabetes risk, the level of engagement during the first postnatal year was low. Further research is needed to improve engagement, including participant involvement in study design; it is potentially more effective to implement annual diabetes screening until women develop prediabetes before offering an intervention.

          Trial Registration

          Australian New Zealand Clinical Trials Registry ACTRN12610000338066

          Abstract

          Sharleen O'Reilly and colleagues investigate the effectiveness of a diabetes prevention program for reducing weight, waist circumference and fasting glucose measurements for women who have had gestational diabetes.

          Author Summary

          Why Was This Study Done?
          • Women who have had gestational diabetes are much more likely to develop type 2 diabetes.

          • Although many diabetes prevention programs for people over the age of 50 exist, few are tailored to the needs of young mothers who have had gestational diabetes.

          • On the assumption that offering prevention earlier is beneficial, researchers developed and tested a diabetes prevention program for women who had gestational diabetes; women participated in the program during their first year after giving birth.

          What Did the Researchers Do and Find?
          • The researchers enrolled 573 women in a one-year study: 284 women were assigned to the diabetes prevention program (one individual session and five group sessions over a three-month period, followed by telephone calls at six and nine months), and 289 were assigned to the control group (usual postnatal care).

          • After one year, the average changes for women in the diabetes prevention program were a 0.23-kg decrease in weight, a 2.24-cm decrease in waist circumference, and a 0.18-mmol/l increase in fasting blood glucose, while the average changes for women in the control group were a 0.72-kg increase in weight, a 1.74-cm decrease in waist circumference, and a 0.22-mmol/l increase in fasting blood glucose. The between-group difference in weight change was 0.95 kg.

          • The number of women who attended the diabetes prevention program was lower than anticipated—10% attended all sessions, and 53% attended the individual session plus at least one group session; about a quarter of women did not complete the study, mainly due to becoming pregnant again.

          What Do These Findings Mean?
          • These findings suggest that although a diabetes prevention program designed for women who have had gestational diabetes can prevent weight gain over 12 months, getting women to engage with the program was challenging, so it would not be sustainable in routine health services.

          • The women who participated in the study had low diabetes risk profiles (only one in ten had impaired glucose tolerance), and most diabetes prevention guidelines would not categorise them as being at sufficiently high risk for participation in a diabetes prevention program.

          • For diabetes prevention programs in women who have had gestational diabetes, further research is required on the process of engagement and lifestyle interventions at other time points, including participant involvement in the design of interventions. Australian clinical guidelines stipulate that women who have had gestational diabetes should be screened annually for diabetes. One option for management would be to wait until they develop prediabetes before offering a diabetes prevention program, which may prove more effective because their children will be older and women may be easier to engage in improving their health.

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          Most cited references40

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          Improved lifestyle and decreased diabetes risk over 13 years: long-term follow-up of the randomised Finnish Diabetes Prevention Study (DPS).

          This study aimed to determine whether lifestyle intervention lasting for 4 years affected diabetes incidence, body weight, glycaemia or lifestyle over 13 years among individuals at high risk of type 2 diabetes. Overweight, middle-aged men (n = 172) and women (n = 350) with impaired glucose tolerance were randomised in 1993-1998 to an intensive lifestyle intervention group (n = 265), aiming at weight reduction, dietary modification and increased physical activity, or to a control group (n = 257) that received general lifestyle information. The primary outcome was a diagnosis of diabetes based on annual OGTTs. Secondary outcomes included changes in body weight, glycaemia, physical activity and diet. After active intervention (median 4 years, range 1-6 years), participants still free of diabetes and willing to continue their participation (200 in the intervention group and 166 in the control group) were further followed until diabetes diagnosis, dropout or the end of 2009, with a median total follow-up of 9 years and a time span of 13 years from baseline. During the total follow-up the adjusted HR for diabetes (intervention group vs control group) was 0.614 (95% CI 0.478, 0.789; p < 0.001). The corresponding HR during the post-intervention follow-up was 0.672 (95% CI 0.477, 0.947; p = 0.023). The former intervention group participants sustained lower absolute levels of body weight, fasting and 2 h plasma glucose and a healthier diet. Adherence to lifestyle changes during the intervention period predicted greater risk reduction during the total follow-up. Lifestyle intervention in people at high risk of type 2 diabetes induces sustaining lifestyle change and results in long-term prevention of progression to type 2 diabetes.
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            • Article: not found

            Predictors of dropout in weight loss interventions: a systematic review of the literature.

            Attendance and completion of weight loss intervention is associated with better weight loss outcomes; however, attrition is neither consistently reported nor comprehensively explored in the weight loss literature. A systematic review was undertaken to identify factors associated with attrition in weight loss interventions involving overweight or obese (body mass index ≥ 25) adults (18-65 years). Sixty-one studies published before May 2011 and addressing factors associated with weight loss programme attrition were identified. Conclusions were limited by the large number of variables explored, the small number of studies exploring each variable, the large variety of study settings and methodologies used, the inconsistent reporting of results, and the conflicting findings across studies. A consistent set of predictors has not yet been identified. The majority of studies relied on pre-treatment routinely collected data rather than variables selected because of their theoretical and/or empirical relationship with attrition. However, psychological and behavioural patient factors and processes associated with the treatment were more commonly associated with attrition than patient background characteristics. Future research should consider theoretically grounded social-psychological and behavioural processes as potential predictors of dropout. Identification of patients at risk of dropout will contribute to both the effectiveness and the cost-effectiveness of weight loss interventions. © 2011 The Authors. obesity reviews © 2011 International Association for the Study of Obesity.
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              The Finnish Diabetes Prevention Study (DPS): Lifestyle intervention and 3-year results on diet and physical activity.

              To describe the 1) lifestyle intervention used in the Finnish Diabetes Prevention Study, 2) short- and long-term changes in diet and exercise behavior, and 3) effect of the intervention on glucose and lipid metabolism. There were 522 middle-aged, overweight subjects with impaired glucose tolerance who were randomized to either a usual care control group or an intensive lifestyle intervention group. The control group received general dietary and exercise advice at baseline and had an annual physician's examination. The subjects in the intervention group received additional individualized dietary counseling from a nutritionist. They were also offered circuit-type resistance training sessions and advised to increase overall physical activity. The intervention was the most intensive during the first year, followed by a maintenance period. The intervention goals were to reduce body weight, reduce dietary and saturated fat, and increase physical activity and dietary fiber. The intervention group showed significantly greater improvement in each intervention goal. After 1 and 3 years, weight reductions were 4.5 and 3.5 kg in the intervention group and 1.0 and 0.9 kg in the control group, respectively. Measures of glycemia and lipemia improved more in the intervention group. The intensive lifestyle intervention produced long-term beneficial changes in diet, physical activity, and clinical and biochemical parameters and reduced diabetes risk. This type of intervention is a feasible option to prevent type 2 diabetes and should be implemented in the primary health care system.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                PLoS Med
                PLoS Med
                plos
                plosmed
                PLoS Medicine
                Public Library of Science (San Francisco, CA USA )
                1549-1277
                1549-1676
                26 July 2016
                July 2016
                : 13
                : 7
                : e1002092
                Affiliations
                [1 ]Institute of Physical Activity and Nutrition, Deakin University, Burwood, Victoria, Australia
                [2 ]Centre for Population Health Research, Faculty of Health, Deakin University, Burwood, Victoria, Australia
                [3 ]School of Medicine, Deakin University, Warrnambool, Victoria, Australia
                [4 ]Department of Medicine, Melbourne Medical School–Western Precinct, University of Melbourne, St Albans, Victoria, Australia
                [5 ]General Internal Medicine Unit, Western Health, Sunshine Hospital, St Albans, Victoria, Australia
                [6 ]Lee Kong Chian School of Medicine, Imperial College London and Nanyang Technological University, Singapore
                [7 ]Melbourne School of Population and Global Health, University of Melbourne, Parkville, Victoria, Australia
                [8 ]School of Psychological and Clinical Sciences, Charles Darwin University, Casuarina, Northern Territory, Australia
                [9 ]Department of Epidemiology and Preventive Medicine, Monash University, Clayton, Victoria, Australia
                [10 ]Department of Medicine, Flinders University, Bedford Park, South Australia, Australia
                [11 ]SA Health, Adelaide, South Australia, Australia
                [12 ]Department of Medicine, School of Clinical Sciences, Monash University, Clayton, Victoria, Australia
                [13 ]Alfred Health and Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia
                [14 ]Diabetes Australia Victoria, Melbourne, Victoria, Australia
                University of Cambridge, UNITED KINGDOM
                Author notes

                JR was employed by Novartis AG from 2009-2012 and currently holds stocks in Novartis AG.

                Conceived and designed the experiments: JAD JDB EJ RC JJNO MA PAP. Analyzed the data: VV JR TS STFS. Contributed reagents/materials/analysis tools: MC VH. Wrote the first draft of the manuscript: SLOR. Contributed to the writing of the manuscript: JAD VV EJ JDB. Enrolled patients: CW. Agree with the manuscript’s results and conclusions: SLOR JAD VV EJ JDB RC JJNO TS MA PAP PRE JR STFS VH MC CW. Designed the intervention program materials: TS VH CW SLOR. Trained the facilitators to deliver the program: TS CW. Responsible for evaluation planning: STFS. Guarantor and general supervisor of the study: JAD. All authors have read, and confirm that they meet, ICMJE criteria for authorship.

                ¶ Membership of the MAGDA Study Group is provided in the Acknowledgments.

                Author information
                http://orcid.org/0000-0003-0866-4365
                http://orcid.org/0000-0003-0213-4515
                http://orcid.org/0000-0002-0018-6963
                http://orcid.org/0000-0002-9985-7631
                http://orcid.org/0000-0002-8825-8625
                Article
                PMEDICINE-D-16-01046
                10.1371/journal.pmed.1002092
                4961439
                27459502
                83d644cb-2b2c-4969-ac7b-557d80cc0dfb
                © 2016 O’Reilly et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 31 March 2016
                : 15 June 2016
                Page count
                Figures: 1, Tables: 5, Pages: 21
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100000925, National Health and Medical Research Council;
                Award ID: 533956
                Award Recipient :
                The National Health and Medical Research Council funded the study under their Partnership Projects scheme (AppID: 533956; https://www.nhmrc.gov.au/grants-funding/apply-funding/partnerships-better-health/partnerships-projects). The organisations that contributed funding to the MAGDA partnership were the NHMRC, the Victorian Department of Health, SA Health, and Diabetes Victoria Ltd. The NHMRC had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. As the funding was provided through the NHMRC Partnerships for Health funding round, co-funders/partners were required to provide funding and in-kind contributions, as well as release of key personnel for investigators’ responsibilities on the trial (contributors are listed in the Acknowledgements).
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                Data are available from the Deakin University Human Ethics Committee for researchers who meet the criteria for access to confidential data.The ethics committee contact details for data requests are: research-ethics@ 123456deakin.edu.au This contact point is completely independent of all researchers.

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