Literature DB >> 30076075

Effects of lifestyle changes on adults with prediabetes: A systematic review and meta-analysis.

Anna Glechner1, Lina Keuchel2, Lisa Affengruber3, Viktoria Titscher3, Isolde Sommer3, Nina Matyas3, Gernot Wagner3, Christina Kien3, Irma Klerings3, Gerald Gartlehner4.   

Abstract

AIMS: To assess the efficacy, safety, and cost-effectiveness of lifestyle intervention, compared with treatment as usual in people with prediabetes as defined by the American Diabetes Association. For older studies, we used the 1985 World Health Organization definition.
METHODS: We systematically searched multiple electronic databases and referenced lists of pertinent review articles from January 1980 through November 2015. We performed an update search in MEDLINE on April 26, 2017. Based on a priori established eligibility criteria, we dually reviewed the literature, extracted data, and rated the risk of bias of included studies with validated checklists. To assess the efficacy of lifestyle intervention to prevent or delay further progression to type 2 diabetes, we conducted a random-effects meta-analysis. We assessed the certainty of evidence using the GRADE (Grading of Recommendations Assessment, Development and Evaluation) approach. RESULT: Pooled results of 16 randomized controlled trials showed that people with prediabetes who received lifestyle intervention had a lower rate of progression to type 2 diabetes after one (4% vs. 10%, RR 0.46 [CI 0.32, 0.66]) and three years of follow-up (14% vs. 23%, RR 0.64 [95% CI 0.53, 0.77]). The majority of the studies also showed a greater weight loss in lifestyle intervention participants, with a great variation between studies. Costs per quality-adjusted life-year were lower when the benefits of lifestyle intervention were analyzed over a lifelong time horizon compared to only the period of lifestyle intervention (three years) or to modeling over a ten-year period.
CONCLUSION: Lifestyle intervention is an efficacious, safe, and cost-effective measure to reduce the risk of progression to type 2 diabetes in people diagnosed with prediabetes. More research is necessary to compare the efficacy of various modes, frequencies, and intensities of lifestyle intervention across studies.
Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Cost-effectiveness; Diabetes prevention; Lifestyle intervention; Meta-analysis; Prediabetes; Systematic review

Mesh:

Year:  2018        PMID: 30076075     DOI: 10.1016/j.pcd.2018.07.003

Source DB:  PubMed          Journal:  Prim Care Diabetes        ISSN: 1878-0210            Impact factor:   2.459


  37 in total

Review 1.  Benefit of lifestyle-based T2DM prevention is influenced by prediabetes phenotype.

Authors:  Matthew D Campbell; Thirunavukkarasu Sathish; Paul Z Zimmet; Kavumpurathu R Thankappan; Brian Oldenburg; David R Owens; Jonathan E Shaw; Robyn J Tapp
Journal:  Nat Rev Endocrinol       Date:  2020-02-14       Impact factor: 43.330

2.  A combined strategy of feature selection and machine learning to identify predictors of prediabetes.

Authors:  Kushan De Silva; Daniel Jönsson; Ryan T Demmer
Journal:  J Am Med Inform Assoc       Date:  2020-03-01       Impact factor: 4.497

3.  Alterations in ventral attention network connectivity in individuals with prediabetes.

Authors:  Jennifer R Sadler; Grace E Shearrer; Kyle S Burger
Journal:  Nutr Neurosci       Date:  2019-04-28       Impact factor: 4.994

4.  Estimating morbidity due to stroke in Nigeria: a systematic review and meta-analysis.

Authors:  Davies Adeloye; Martinsixtus Ezejimofor; Asa Auta; Rex G Mpazanje; Nnenna Ezeigwe; Evelyn N Ngige; Michael O Harhay; Wondimagegnehu Alemu; Isaac F Adewole
Journal:  J Neurol Sci       Date:  2019-05-23       Impact factor: 3.181

5.  Effectiveness of a comprehensive care protocol in patients with new diagnoses of type 2 diabetes mellitus and associated comorbidities in primary care: study protocol of a quasi-experimental trial.

Authors:  Carolina Lapena; Enriqueta Borràs; Clarisa Digon; Rosa Aznar; Jose Luis Del Val Garcia; Esmeralda Castelblanco; Ana Garaikoetxea; Vicencia Laguna
Journal:  BMJ Open       Date:  2020-06-23       Impact factor: 2.692

6.  Recreational Centres' Facilities and Activities to Support Healthy Ageing in Singapore.

Authors:  Elaine Yee-Sing Wong; Andy H Lee; Anthony P James; Jonine Jancey
Journal:  Int J Environ Res Public Health       Date:  2019-09-10       Impact factor: 3.390

7.  Inhibitory Risks Affecting the Maintenance of Healthy Lifestyle Habits-A Study Based on Demographic Factors and Personality Traits.

Authors:  Wenzhu Cui; Akane Katayama; Hiroki Shimizu; Mamoru Taniguchi
Journal:  Int J Environ Res Public Health       Date:  2019-06-30       Impact factor: 3.390

8.  Serum Elemental Analysis of Type 2 Diabetes Patients Using SRXRF.

Authors:  N Srinivasa Rao; G J Naga Raju; M K Tiwari; B G Naidu; P Sarita
Journal:  Biol Trace Elem Res       Date:  2021-06-02       Impact factor: 3.738

Review 9.  From Pre-Diabetes to Diabetes: Diagnosis, Treatments and Translational Research.

Authors:  Radia Marium Modhumi Khan; Zoey Jia Yu Chua; Jia Chi Tan; Yingying Yang; Zehuan Liao; Yan Zhao
Journal:  Medicina (Kaunas)       Date:  2019-08-29       Impact factor: 2.430

10.  Effectiveness of a Yoga-Based Lifestyle Protocol (YLP) in Preventing Diabetes in a High-Risk Indian Cohort: A Multicenter Cluster-Randomized Controlled Trial (NMB-Trial).

Authors:  Nagarathna Raghuram; Venkat Ram; Vijaya Majumdar; Rajesh Sk; Amit Singh; Suchitra Patil; Akshay Anand; Ilavarasu Judu; Srikanta Bhaskara; Jagannadha Rao Basa; Hongasandra Ramarao Nagendra
Journal:  Front Endocrinol (Lausanne)       Date:  2021-06-11       Impact factor: 5.555

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