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Kim SH. Reframing prediabetes: A call for better risk stratification and intervention. J Intern Med 2024; 295:735-747. [PMID: 38606904 DOI: 10.1111/joim.13786] [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] [Indexed: 04/13/2024]
Abstract
Prediabetes is an intermediate state of glucose homeostasis whereby plasma glucose concentrations are above normal but below the threshold of diagnosis for diabetes. Over the last several decades, criteria for prediabetes have changed as the cut points for normal glucose concentration and diagnosis of diabetes have shifted. Global consensus does not exist for prediabetes criteria; as a result, the clinical course and risk for type 2 diabetes vary. At present, we can identify individuals with prediabetes based on three glycemic tests (hemoglobin A1c, fasting plasma glucose, and 2-h plasma glucose during an oral glucose tolerance test). The majority of individuals diagnosed with prediabetes meet only one of these criteria. Meeting one, two, or all glycemic criteria changes risk for type 2 diabetes, but this information is not widely known and does not currently guide intervention strategies for individuals with prediabetes. This review summarizes current epidemiology, prognosis, and intervention strategies for individuals diagnosed with prediabetes and suggests a call for more precise risk stratification of individuals with prediabetes as elevated (one prediabetes criterion), high risk (two prediabetes criteria), and very high risk (three prediabetes criteria). In addition, the roles of oral glucose tolerance testing and continuous glucose monitoring in the diagnostic criteria for prediabetes need reassessment. Finally, we must reframe our goals for prediabetes and prioritize intensive interventions for those at high and very high risk for type 2 diabetes.
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Affiliation(s)
- Sun H Kim
- Division of Endocrinology, Gerontology and Metabolism, Stanford University School of Medicine, Stanford, California, USA
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2
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Tseng E, Lam KY, Meza KA, O'Brien MJ, Maruthur NM. Lower-Intensity Interventions for Prediabetes: A Systematic Review. Am J Prev Med 2023; 65:906-915. [PMID: 37217038 PMCID: PMC10592596 DOI: 10.1016/j.amepre.2023.05.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 05/15/2023] [Accepted: 05/15/2023] [Indexed: 05/24/2023]
Abstract
INTRODUCTION Systematic reviews of interventions for diabetes prevention have focused on lifestyle interventions, including the Diabetes Prevention Program (DPP) and translations of the DPP. However, nationally, few people with prediabetes have joined or completed a DPP, with one cited barrier being committing to a yearlong program. This study was a systematic review to evaluate the effectiveness of lower-intensity lifestyle interventions for prediabetes on weight change, glycemia, and health behaviors. METHODS English-language studies from PubMed, Embase, PsycINFO, and CINAHL from 2000 to February 23, 2022 were searched for RCTs of nonpregnant adults with prediabetes and elevated BMI and lower-intensity interventions (defined as ≤12 months and <14 sessions over 6 months). Two reviewers independently identified 11 trials, assessed study quality (using Cochrane risk-of-bias tool), and extracted data serially. A qualitative synthesis was conducted by outcome. RESULTS Only 1 of 11 trials of lower-intensity interventions was of high quality (>80% follow-up rate and low risk of bias). This 6-month study compared an app with standardized dietary advice, showing a 3-kg greater body weight reduction and 0.2% greater reduction of HbA1c. DISCUSSION The evidence on lower-intensity lifestyle interventions for diabetes prevention is limited by the small number and methodologic weaknesses of previous trials, and future research is needed in this area. Given the low uptake of and retention in evidence-based high-intensity programs, future work is needed to investigate the effectiveness of novel lower-intensity interventions offered with established DPP content of varying duration and intensity.
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Affiliation(s)
- Eva Tseng
- Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland; Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland.
| | - Kwai Y Lam
- Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland
| | - Kayla A Meza
- Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland
| | - Matthew J O'Brien
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois; Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Nisa M Maruthur
- Division of General Internal Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland; Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland; Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland
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Bodhini D, Morton RW, Santhakumar V, Nakabuye M, Pomares-Millan H, Clemmensen C, Fitzpatrick SL, Guasch-Ferre M, Pankow JS, Ried-Larsen M, Franks PW, Tobias DK, Merino J, Mohan V, Loos RJF. Impact of individual and environmental factors on dietary or lifestyle interventions to prevent type 2 diabetes development: a systematic review. COMMUNICATIONS MEDICINE 2023; 3:133. [PMID: 37794109 PMCID: PMC10551013 DOI: 10.1038/s43856-023-00363-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Accepted: 09/18/2023] [Indexed: 10/06/2023] Open
Abstract
BACKGROUND The variability in the effectiveness of type 2 diabetes (T2D) preventive interventions highlights the potential to identify the factors that determine treatment responses and those that would benefit the most from a given intervention. We conducted a systematic review to synthesize the evidence to support whether sociodemographic, clinical, behavioral, and molecular factors modify the efficacy of dietary or lifestyle interventions to prevent T2D. METHODS We searched MEDLINE, Embase, and Cochrane databases for studies reporting on the effect of a lifestyle, dietary pattern, or dietary supplement interventions on the incidence of T2D and reporting the results stratified by any effect modifier. We extracted relevant statistical findings and qualitatively synthesized the evidence for each modifier based on the direction of findings reported in available studies. We used the Diabetes Canada Clinical Practice Scale to assess the certainty of the evidence for a given effect modifier. RESULTS The 81 publications that met our criteria for inclusion are from 33 unique trials. The evidence is low to very low to attribute variability in intervention effectiveness to individual characteristics such as age, sex, BMI, race/ethnicity, socioeconomic status, baseline behavioral factors, or genetic predisposition. CONCLUSIONS We report evidence, albeit low certainty, that those with poorer health status, particularly those with prediabetes at baseline, tend to benefit more from T2D prevention strategies compared to healthier counterparts. Our synthesis highlights the need for purposefully designed clinical trials to inform whether individual factors influence the success of T2D prevention strategies.
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Affiliation(s)
| | - Robert W Morton
- Department of Pathology & Molecular Medicine, McMaster University, Hamilton, ON, Canada
- Population Health Research Institute, Hamilton, ON, Canada
- Department of Translational Medicine, Medical Science, Novo Nordisk Foundation, Tuborg Havnevej 19, 2900, Hellerup, Denmark
| | - Vanessa Santhakumar
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Mariam Nakabuye
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Hugo Pomares-Millan
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Skåne University Hospital Malmö, Malmö, Sweden
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Christoffer Clemmensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Stephanie L Fitzpatrick
- Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Marta Guasch-Ferre
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - James S Pankow
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Mathias Ried-Larsen
- Centre for Physical Activity Research, Rigshospitalet, Copenhagen, Denmark
- Institute for Sports and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Paul W Franks
- Department of Translational Medicine, Medical Science, Novo Nordisk Foundation, Tuborg Havnevej 19, 2900, Hellerup, Denmark
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Malmo, Sweden
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Deirdre K Tobias
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jordi Merino
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Viswanathan Mohan
- Madras Diabetes Research Foundation, Chennai, India
- Dr. Mohan's Diabetes Specialities Centre, Chennai, India
| | - Ruth J F Loos
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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Sathanapally H, Khunti K. Recommendations from 'Improving health outcomes of people with diabetes: Target setting for the WHO Global Diabetes Compact' for the Indian context: Laudable but are they achievable? THE NATIONAL MEDICAL JOURNAL OF INDIA 2023; 36:281-282. [PMID: 38759989 DOI: 10.25259/nmji_713_2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/19/2024]
Affiliation(s)
- Harini Sathanapally
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester LE5 4PW, UK
| | - Kamlesh Khunti
- National Institute for Health Research Applied Research Collaboration East Midlands, University of Leicester, UK
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5
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Bodhini D, Morton RW, Santhakumar V, Nakabuye M, Pomares-Millan H, Clemmensen C, Fitzpatrick SL, Guasch-Ferre M, Pankow JS, Ried-Larsen M, Franks PW, Tobias DK, Merino J, Mohan V, Loos RJF. Role of sociodemographic, clinical, behavioral, and molecular factors in precision prevention of type 2 diabetes: a systematic review. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.05.03.23289433. [PMID: 37205385 PMCID: PMC10187453 DOI: 10.1101/2023.05.03.23289433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
The variability in the effectiveness of type 2 diabetes (T2D) preventive interventions highlights the potential to identify the factors that determine treatment responses and those that would benefit the most from a given intervention. We conducted a systematic review to synthesize the evidence to support whether sociodemographic, clinical, behavioral, and molecular characteristics modify the efficacy of dietary or lifestyle interventions to prevent T2D. Among the 80 publications that met our criteria for inclusion, the evidence was low to very low to attribute variability in intervention effectiveness to individual characteristics such as age, sex, BMI, race/ethnicity, socioeconomic status, baseline behavioral factors, or genetic predisposition. We found evidence, albeit low certainty, to support conclusions that those with poorer health status, particularly those with prediabetes at baseline, tend to benefit more from T2D prevention strategies compared to healthier counterparts. Our synthesis highlights the need for purposefully designed clinical trials to inform whether individual factors influence the success of T2D prevention strategies.
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6
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Zheng M, Wu S, Chen S, Zhang X, Zuo Y, Tong C, Li H, Li C, Yang X, Wu L, Wang A, Zheng D. Development and validation of risk prediction models for new-onset type 2 diabetes in adults with impaired fasting glucose. Diabetes Res Clin Pract 2023; 197:110571. [PMID: 36758640 DOI: 10.1016/j.diabres.2023.110571] [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: 08/30/2022] [Revised: 01/14/2023] [Accepted: 02/01/2023] [Indexed: 02/10/2023]
Abstract
AIMS To develop and validate sex-specific risk prediction models based on easily obtainable clinical data for predicting 5-year risk of type 2 diabetes (T2D) among individuals with impaired fasting glucose (IFG), and generate practical tools for public use. METHODS The data used for model training and internal validation came from a large prospective cohort (N = 18,384). Two independent cohorts were used for external validation. A two-step approach was applied to screen variables. Coefficient-based models were constructed by multivariate Cox regression analyses, and score-based models were subsequently generated. The predictive power was evaluated by the area under the curve (AUC). RESULTS During a median follow-up of 7.55 years, 5697 new-onset T2D cases were identified. Predictor variables included age, body mass index, waist circumference, diastolic blood pressure, triglycerides, fasting plasma glucose, and fatty liver. The proposed models outperformed five existing models. In internal validation, the AUCs of the coefficient-based models were 0.741 (95% CI 0.723-0.760) for men and 0.762 (95% CI 0.720-0.802) for women. External validation yielded comparable prediction performance. We finally constructed a risk scoring system and a web calculator. CONCLUSIONS The risk prediction models and derived tools had well-validated performance to predict the 5-year risk of T2D in IFG adults.
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Affiliation(s)
- Manqi Zheng
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, Hebei, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan General Hospital, Tangshan, Hebei, China
| | - Xiaoyu Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Department of Anesthesiology, Sanbo Brain Hospital, Capital Medical University, Beijing, China
| | - Yingting Zuo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
| | - Chao Tong
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
| | - Haibin Li
- Heart Center & Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Changwei Li
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana, USA
| | - Xinghua Yang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
| | - Lijuan Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
| | - Anxin Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
| | - Deqiang Zheng
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Department of Clinical Sciences Malmö, Center for Primary Health Care Research, Lund University, Lund, Sweden.
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Pi L, Yan J, Fei D, Zheng Y, Shi X, Wang Z, Zhou Z. Primary care providers' knowledge, attitudes, and practices related to prediabetes in China: A cross-sectional study. Front Public Health 2023; 11:1086147. [PMID: 36908444 PMCID: PMC9995854 DOI: 10.3389/fpubh.2023.1086147] [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: 11/01/2022] [Accepted: 02/03/2023] [Indexed: 02/25/2023] Open
Abstract
Background The management of prediabetes has great clinical significance, and primary care providers (PCPs) play important roles in the management and prevention of diabetes in China. Nevertheless, little is known about PCPs' knowledge, attitudes, and practices (KAP) regarding prediabetes. This cross-sectional study aimed to assess the KAP regarding prediabetes among PCPs in the Central China region. Methods This cross-sectional study was conducted using self-administered KAP questionnaires among PCPs from Central China region. Results In total, 720 PCPs completed the survey. Most physicians (85.8%) claimed to be aware of the adverse effects of prediabetes and reported positive attitudes toward prediabetes prevention, but the PCPs' knowledge of prediabetes and management practices showed substantial gaps. The prediabetes knowledge level and practice subscale scores of the PCPs were only 54.7% and 32.6%, respectively, of the corresponding optimal scores. Female PCPs showed higher prediabetes knowledge level scores (p = 0.04) and better practice scores (p = 0.038). Knowledge and attitude scores were inversely correlated with participants' age and duration of practice (p < 0.001). The PCPs who served in township hospitals had significantly higher knowledge and attitude scores than those who served in village clinics (p < 0.001). Furthermore, knowledge and practice scores increased with increasing professional titles. Recent continuing medical education (CME) attendance had a significant positive influence on knowledge of prediabetes (p = 0.029), but more than four-fifths of the surveyed PCPs did not participate in diabetes-related CME in the past year. Conclusions Substantial gaps were observed in PCPs' knowledge and practices regarding prediabetes in the Central China region. CME programmes were under-utilized by PCPs. Structured programmes are required to improve PCPs' prediabetes-related knowledge and practices in China.
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Affiliation(s)
- Linhua Pi
- Department of Metabolism and Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, Changsha, China.,National Clinical Research Center for Metabolic Diseases, Changsha, China
| | - Jianru Yan
- Department of Metabolic Endocrinology, The First People's Hospital of Pingjiang, Yueyang, China
| | - Dongxue Fei
- Department of Metabolism and Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, China.,Clinical Nursing Teaching and Research Section, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Ying Zheng
- Department of Metabolism and Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, China.,Center for Medical Research, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Xiajie Shi
- Department of Metabolism and Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, Changsha, China.,National Clinical Research Center for Metabolic Diseases, Changsha, China
| | - Zhen Wang
- Department of Metabolism and Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, Changsha, China.,National Clinical Research Center for Metabolic Diseases, Changsha, China
| | - Zhiguang Zhou
- Department of Metabolism and Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, China.,Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, Changsha, China.,National Clinical Research Center for Metabolic Diseases, Changsha, China
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Chao AM, Tronieri JS, Amaro A, Wadden TA. Clinical Insight on Semaglutide for Chronic Weight Management in Adults: Patient Selection and Special Considerations. Drug Des Devel Ther 2022; 16:4449-4461. [PMID: 36601368 PMCID: PMC9807016 DOI: 10.2147/dddt.s365416] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 12/15/2022] [Indexed: 12/30/2022] Open
Abstract
Losses of 5-10% or more of initial body weight are associated with improvements in obesity-related comorbidities. However, attaining and sustaining this level of weight loss is challenging. The novel anti-obesity medication semaglutide 2.4 mg injected subcutaneously once weekly as an adjunct to a reduced-calorie diet and physical activity helps patients achieve average losses of 9.6-17.4% of initial body weight at week 68, as well as improvements in cardiometabolic and psychosocial indices. Despite these average benefits, prescribers should carefully assess the suitability of patients for this medication. In this paper, we discuss considerations for the selection of individuals who are candidates for semaglutide and special considerations related to the use of this medication. These include its efficacy and safety, as well as its contraindications, potential adverse effects, management of comorbidities and drug interactions, insurance coverage and cost, and patient preferences.
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Affiliation(s)
- Ariana M Chao
- Department of Biobehavioral Health Sciences, University of Pennsylvania School of Nursing, Philadelphia, PA, USA,Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA,Correspondence: Ariana M Chao, University of Pennsylvania School of Nursing, 418 Curie Blvd, Philadelphia, PA, 19104, USA, Tel +1-215-746-7183, Fax +1 215-898-2878, Email
| | - Jena Shaw Tronieri
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Anastassia Amaro
- Division of Endocrinology, Diabetes and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Thomas A Wadden
- Department of Psychiatry, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
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Dhinagaran DA, Car LT. Public perceptions of a healthy lifestyle change conversational agent in Singapore: A qualitative study. Digit Health 2022; 8:20552076221131190. [PMID: 36267545 PMCID: PMC9578172 DOI: 10.1177/20552076221131190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 09/20/2022] [Indexed: 11/28/2022] Open
Abstract
OBJECTIVE Conversational agents (CAs) are increasingly used for the delivery of healthy lifestyle behaviour interventions. This qualitative study aimed to explore the barriers and facilitators to participants' usage of a healthy lifestyle change CA and collect their views on areas for its improvement. METHODS Twenty participants were recruited from a convenience sample of users interacting with a CA promoting healthy lifestyle changes to the general population in Singapore. This CA, Precilla, educated users on healthy living, specifically: diet, exercise, sleep and stress; for four weeks. The volunteers participated in semi-structured interviews where an interview guide was used, with questions on acceptability, satisfaction and critical appraisal of the CA. Interviews were transcribed and analysed in parallel by two researchers using thematic content analysis. RESULTS Four main themes were identified: (1) enjoyable and acceptable experiences, (2) suboptimal experience(s), (3) alterations to Precilla for enhanced interaction and (4) suggestions for the future. Enjoyable experiences referenced the CA's friendly personality and important content that motivated a positive change to their lifestyle. Some participants were less satisfied and found the content to be too simple or sometimes, the messages too lengthy. CONCLUSIONS Participants suggested that in the future, CAs should provide regularly updated content on healthy living, specifically pre-diabetes. Multiple answer options should also be provided for more personalisation along with links to external resources to help improve users' health literacy. Further recommendations include a necessity for a user-centered approach in CA development, employment of engagement strategies, use of a delivery platform most familiar to the target population and stratified message timings to suit the population and purpose of CA. Translating the health CAs to languages relevant to the target group could also enable wider reach and applicability.
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Affiliation(s)
| | - Lorainne Tudor Car
- Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore,Department of Primary Care and Public Health, School of Public Health, Imperial College London, London, UK,Future Health Technologies, Singapore-ETH Centre, Campus for Research Excellence and Technological Enterprise (CREATE), Singapore,Lorainne Tudor Car, Family Medicine and Primary Care, Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, 11 Mandalay Road, Level 18, Clinical Science Building, 308232, Singapore.
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Miller CK, Nagaraja HN, Cheavens J, Fujita K, Lazarus S. Impact of a Novel Diabetes Prevention Intervention for Early Slow Weight Loss Responders Among Adults With Prediabetes: An Adaptive Trial. Diabetes Care 2022; 45:2452-2455. [PMID: 36041053 PMCID: PMC9643139 DOI: 10.2337/dc22-0824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 07/15/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Some people are slower to respond during lifestyle interventions. An adaptive "rescue" intervention may improve outcomes among slow responders. The impact of a worksite rescue intervention for early slow responders was evaluated. RESEARCH DESIGN AND METHODS Employees ≥21 years old with prediabetes were stratified to intervention using a 2.5% weight loss (%WL) threshold at week 5. Outcomes were assessed at baseline and at 4 months using mixed-effect and linear regression models. RESULTS Significant improvement occurred in mean %WL, glycemia, total cholesterol, and triglycerides in the standard compared with the adaptive (Group Lifestyle Balance Plus [GLB+]) intervention (all P≤ 0.01). However, GLB+ participants also experienced a significant reduction in %WL and glycemia (all P < 0.01). The %WL at week 5 significantly predicted %WL at 4 months (P < 0.0001). The between-group difference of 4-month %WL was not significant for someone achieving 2.5%WL at week 5. CONCLUSIONS Diabetes prevention programs should consider weight loss success following 1 month of treatment and offer a rescue intervention to early slow weight loss responders.
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Affiliation(s)
- Carla K. Miller
- School of Public Health, Indiana University, Bloomington, IN
| | - Haikady N. Nagaraja
- Division of Biostatistics, College of Public Health, Ohio State University, Columbus, OH
| | | | - Kentaro Fujita
- Department of Psychology, Ohio State University, Columbus, OH
| | - Sophie Lazarus
- Department of Psychiatry and Behavioral Health, Ohio State University, Columbus, OH
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11
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Effects of 6-month episodic future thinking training on delay discounting, weight loss and HbA1c changes in individuals with prediabetes. J Behav Med 2022; 45:227-239. [PMID: 35006500 PMCID: PMC8744570 DOI: 10.1007/s10865-021-00278-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 12/22/2021] [Indexed: 12/22/2022]
Abstract
People with prediabetes are at risk for type 2 diabetes. They may discount the future delay discounting (DD), and not engage in preventive health behaviors. Episodic future thinking (EFT) can reduce DD when future scenarios are cued, but research is needed to assess long-term effects of EFT and when EFT is not cued. This study tested EFT training compared to control for people with prediabetes enrolled in a 6-month weight loss program on DD, weight, HbA1c, and physical activity. Results showed a reliable EFT effect on reducing DD in cued (p = 0.0035), and uncued DD tasks (p = 0.048), and significant overall changes in weight (p < 0.001), HbA1c (p, 0.001) and physical activity (p = 0.003), but no significant differences in these outcomes by group (p’s > 0.05). Sixty-eight percent of the sample ended below the prediabetes HbA1c range. These results suggest that DD can be modified over extended periods, and the effects of EFT can be observed without EFT cues. However, these data do not suggest that changes in weight, HbA1c or physical activity were due to EFT training. The study was initiated before the COVID-19 pandemic which provided the opportunity to compare differences for people treated in-person or remotely. Analyses showed no differences in DD, weight, HBA1c or physical activity outcomes were observed between in-person and remote treatment, suggesting telehealth is a scalable approach to treating prediabetes.
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12
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Baek J, Robert-Nicoud G, Herrera Hidalgo C, Borg ML, Iqbal MN, Berlin R, Lindgren M, Waara E, Uddén A, Pietiläinen K, Bengtsson T. Engineered mesoporous silica reduces long-term blood glucose, HbA1c, and improves metabolic parameters in prediabetics. Nanomedicine (Lond) 2021; 17:9-22. [PMID: 34854740 DOI: 10.2217/nnm-2021-0235] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Aim: To investigate the effect of oral consumption of engineered mesoporous silica particles, SiPore15®, on long-term blood glucose levels and other metabolic parameters in individuals with prediabetes and newly diagnosed Type 2 diabetes. Method: An open-label, single-arm, multicenter trial was conducted in which SiPore15 was consumed three times daily for 12 weeks. Hemoglobin A1c (HbA1c, primary end point) and an array of metabolic parameters were measured at baseline and throughout the trial. Result: SiPore15 treatment significantly reduced HbA1c by a clinically meaningful degree and improved several disease-associated parameters with minimal side effects. Conclusion: The results from this study demonstrate the potential use of SiPore15 as a treatment for prediabetes that may also delay or prevent the onset of Type 2 diabetes.
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Affiliation(s)
- Jeanha Baek
- Sigrid Therapeutics AB, Norrtullsgatan 6, Stockholm, SE-113 29, Sweden
| | | | | | - Melissa L Borg
- Sigrid Therapeutics AB, Norrtullsgatan 6, Stockholm, SE-113 29, Sweden
| | - Muhammad N Iqbal
- Sigrid Therapeutics AB, Norrtullsgatan 6, Stockholm, SE-113 29, Sweden.,Department of Materials and Environmental Chemistry, Stockholm University, Stockholm, SE-106 91, Sweden
| | - Roger Berlin
- 1.618 Consulting LLC, Philadelphia, PA 19107, USA
| | - Maria Lindgren
- Sigrid Therapeutics AB, Norrtullsgatan 6, Stockholm, SE-113 29, Sweden
| | - Erik Waara
- Sigrid Therapeutics AB, Norrtullsgatan 6, Stockholm, SE-113 29, Sweden
| | - Anna Uddén
- Sigrid Therapeutics AB, Norrtullsgatan 6, Stockholm, SE-113 29, Sweden
| | - Kirsi Pietiläinen
- Obesity Research Unit, Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, 00014, Finland.,Obesity Center, Abdominal Center, Helsinki University Hospital and University of Helsinki, Helsinki, 00014, Finland
| | - Tore Bengtsson
- Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Stockholm, SE-106 91, Sweden
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13
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Dorans KS, Bazzano LA, Qi L, He H, Appel LJ, Samet JM, Chen J, Mills KT, Nguyen BT, O'Brien MJ, Uwaifo GI, He J. Low-carbohydrate dietary pattern on glycemic outcomes trial (ADEPT) among individuals with elevated hemoglobin A1c: study protocol for a randomized controlled trial. Trials 2021; 22:108. [PMID: 33522954 PMCID: PMC7848246 DOI: 10.1186/s13063-020-05001-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2020] [Accepted: 12/27/2020] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND Type 2 diabetes mellitus (T2DM) is a major cause of morbidity and mortality globally. Strong evidence supports the importance of diet and other lifestyle factors in preventing T2DM. Among individuals with T2DM, low-carbohydrate diets lead to decreases in hemoglobin A1c (HbA1c). However, research on the effects of low-carbohydrate diets on glycemic outcomes among individuals not currently on glucose-lowering medications who have elevated HbA1c is limited. METHODS The objective of this randomized controlled trial is to study the effect of a healthy low-carbohydrate diet achieved through behavioral intervention and key food supplementation compared with usual diet on HbA1c and other metabolic risk factors among individuals with HbA1c from 6.0 to 6.9% who are not on glucose-lowering medications. In this parallel trial, 150 participants will be randomized to the intervention or control group for 6 months. The healthy low-carbohydrate diet target is < 40 g of net carbohydrates during the first 3 months and < 40 to 60 net grams for months 3 to 6. This diet is characterized by abundant unsaturated fat and protein, high-fiber foods such as non-starchy vegetables and nuts, and minimal refined carbohydrates. The primary outcome is the difference in HbA1c change from baseline to 6 months in the intervention compared with usual diet group. Secondary outcomes include differences between groups in 6-month changes in fasting glucose, systolic blood pressure, total-to-high-density lipoprotein (HDL) cholesterol ratio, and body weight. Exploratory outcomes include differences in 6-month changes in fasting insulin, homeostasis model assessment of insulin resistance, diastolic blood pressure, waist circumference, and 10-year cardiovascular disease risk. An intention-to-treat analysis will be used. DISCUSSION We expect that the results from this study will lead to new approaches for developing and implementing dietary approaches (other than the most commonly used reduced fat diet) that will substantially reduce risk of cardiometabolic disease among adults with or at high risk of T2DM. The study intervention involves behavioral counseling and promotes consumption of dietary components thought to reduce risk of cardiometabolic disease and has expected applicability in clinical practice. TRIAL REGISTRATION ClinicalTrials.gov NCT03675360 . Registered on September 18, 2018 (prior to enrolment of the first participant).
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Affiliation(s)
- Kirsten S Dorans
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal St, Suite 2000, New Orleans, LA, 70112, USA.
| | - Lydia A Bazzano
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal St, Suite 2000, New Orleans, LA, 70112, USA.,Department of Medicine, Tulane University School of Medicine, New Orleans, LA, USA
| | - Lu Qi
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal St, Suite 2000, New Orleans, LA, 70112, USA
| | - Hua He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal St, Suite 2000, New Orleans, LA, 70112, USA
| | - Lawrence J Appel
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | | | - Jing Chen
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal St, Suite 2000, New Orleans, LA, 70112, USA.,Department of Medicine, Tulane University School of Medicine, New Orleans, LA, USA
| | - Katherine T Mills
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal St, Suite 2000, New Orleans, LA, 70112, USA
| | - Bernadette T Nguyen
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal St, Suite 2000, New Orleans, LA, 70112, USA
| | - Matthew J O'Brien
- Division of General Internal Medicine and Geriatrics, Department of Medicine, Institute of Public Health and Medicine, Chicago, IL, USA.,Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Gabriel I Uwaifo
- Department of Endocrinology, Diabetes, Metabolism, and Weight Management, Ochsner Medical Center, New Orleans, LA, USA
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, 1440 Canal St, Suite 2000, New Orleans, LA, 70112, USA.,Department of Medicine, Tulane University School of Medicine, New Orleans, LA, USA
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14
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Ha J, Kwon Y, Kwon YJ, Kim D, Han K, Jang M, Park S, Nam GE, Kim YH, Kim DH, Park YG, Cho KH. Variability in body weight precedes diagnosis in dementia: A nationwide cohort study. Brain Behav 2020; 10:e01811. [PMID: 32856784 PMCID: PMC7667348 DOI: 10.1002/brb3.1811] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Revised: 07/03/2020] [Accepted: 08/09/2020] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND While there have been disagreements concerning whether obesity and increase in body weight elevate the risk of dementia, variability in body weight has been recently recognized as a new biometric associated with a high risk for a number of diseases. This nationwide, population-based cohort study examined the association between body weight variability and dementia. METHODS A total of 2,812,245 adults (mean age, 51.7 years; standard deviation, 8.6) without a history of dementia who underwent at least three health examinations between 2005 and 2012 in a nationwide cohort were followed-up until the date of dementia diagnosis (based on prescribed drugs and disease code) or until 2016 (median follow-up duration, 5.38 years; interquartile range, 5.16-5.61). Cox regression models were used to evaluate the risk of Alzheimer's disease and vascular dementia according to body weight variability. RESULTS The hazard ratios (95% confidence intervals) of the highest quartiles of variability were 1.42 (1.35-1.49) for Alzheimer's disease and 1.47 (1.32-1.63) for vascular dementia compared to the lowest quartile group as a reference. This association was consistent in various subgroup analyses and sensitivity analyses. CONCLUSIONS Body weight variability could predict Alzheimer's disease and vascular dementia, which may provide new insights into the prevention and management of dementia.
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Affiliation(s)
- Jane Ha
- Department of Medicine, Korea University College of Medicine, Seoul, Korea.,Center for Obesity and Metabolic Diseases, Korea University Anam Hospital, Seoul, Korea
| | - Yeongkeun Kwon
- Center for Obesity and Metabolic Diseases, Korea University Anam Hospital, Seoul, Korea.,Division of Foregut Surgery, Korea University College of Medicine, Seoul, Korea
| | - Ye-Ji Kwon
- Department of Neurology, Korea University College of Medicine, Seoul, Korea
| | - DaHye Kim
- Department of Biostatistics, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Kyungdo Han
- Department of Biostatistics, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Mi Jang
- Department of Biotechnology and Food Science, Norwegian University of Science and Technology, Trondheim, Norway
| | - Sungsoo Park
- Center for Obesity and Metabolic Diseases, Korea University Anam Hospital, Seoul, Korea.,Division of Foregut Surgery, Korea University College of Medicine, Seoul, Korea
| | - Ga Eun Nam
- Department of Family Medicine, Korea University College of Medicine, Seoul, Korea
| | - Yang Hyun Kim
- Department of Family Medicine, Korea University College of Medicine, Seoul, Korea
| | - Do Hoon Kim
- Department of Family Medicine, Korea University College of Medicine, Seoul, Korea
| | - Yong Gyu Park
- Department of Biostatistics, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Kyung-Hwan Cho
- Department of Family Medicine, Korea University College of Medicine, Seoul, Korea
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15
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Sweet CC, Jasik CB, Diebold A, DuPuis A, Jendretzke B. Cost Savings and Reduced Health Care Utilization Associated with Participation in a Digital Diabetes Prevention Program in an Adult Workforce Population. JOURNAL OF HEALTH ECONOMICS AND OUTCOMES RESEARCH 2020; 7:139-147. [PMID: 32884964 PMCID: PMC7458495 DOI: 10.36469/jheor.2020.14529] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 07/13/2020] [Accepted: 07/27/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Though in-person delivery of the Diabetes Prevention Program (DPP) has demonstrated medical cost savings, the economic impact of digital programs is not as well understood. OBJECTIVE This study examines the impact of a digital DPP program on reducing all-cause health care costs and utilization among 2027 adult participants at 12 months. METHODS A longitudinal, observational analysis of health care claims data was conducted on a workforce population who participated in a digital diabetes prevention program. Differences in utilization and costs from the year prior to program delivery through 1 year after enrollment were calculated using medical claims data for digital DPP participants compared to a propensity matched cohort in a differences-in-differences model. RESULTS At 1 year, the digital DPP population had a reduction in all-cause health care spend of US$1169 per participant relative to the comparison group (P = 0.01), with US$699 of that savings coming from reduced inpatient spend (P = 0.001). Cost savings were driven by fewer hospital admissions and shorter length of stay (P < 0.001). No other significant results in cost differences were detected. There was a trend toward savings extending into the second year, but the savings did not reach statistical significance. CONCLUSIONS These results demonstrated significant short-term health care cost savings at 1 year associated with digital DPP program delivery.
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16
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Evaluating interventions to delay the progression of prediabetes to type-2 diabetes mellitus in an uninsured Hispanic population. J Am Assoc Nurse Pract 2020; 33:661-666. [PMID: 32649384 DOI: 10.1097/jxx.0000000000000444] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Accepted: 04/09/2020] [Indexed: 01/31/2023]
Abstract
BACKGROUND Diabetes is a chronic progressive disease affecting 34 million Americans. The Centers for Disease Control and Prevention estimates that 12.5% of people aged 20 years or older diagnosed with diabetes are Hispanic. The American Diabetes Association further estimates that 84.1 million Americans aged 20 years and older have prediabetes based on fasting blood sugar and hemoglobin A1c (HbA1c) levels alone. LOCAL PROBLEM In Georgia, the overall rate of diagnosed diabetes is 9.7%, undiagnosed is 6.5%, and prediabetes is 1.1%. The prevalence of diabetes for the Hispanic population in Georgia is 9% and is 10% among Clayton County residents. The purpose of this quality improvement project (QIP) was to evaluate interventions implemented to delay the progressions of prediabetes to type-2 diabetes in an uninsured Hispanic population. METHODS Retrospective chart review was conducted comparing pre- and postmeasurements for HbA1c and body mass index (BMI) in Hispanic patients identified as having prediabetes. INTERVENTIONS Patients with HbA1c of 5.7-6.1% were provided with a diabetes tool kit, whereas patients with an HbA1c of 6.2-6.4% were given the diabetes tool kit plus metformin. RESULTS A decrease in mean HbA1c was noted in both groups of patients. However, a paired sample t-test indicated nonsignificant decrease in HbA1c for the diabetes tool kit group (p = .51) but significant decrease for the diabetes tool group kit plus metformin group (p < .01). CONCLUSIONS Although this QIP did not reveal statistically significant changes in HbA1c and BMI for both groups, the results were clinically significant among this Hispanic population.
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17
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Waara ER, Iqbal MN, Robert‐Nicoud G, Benziane B, Vallhov H, Wasik AM, Lindgren M, Hagman E, Rinde M, Kupferschmidt N, Berlin R, Johnston EV, Danielsson P, Bengtsson T. Entrapping Digestive Enzymes with Engineered Mesoporous Silica Particles Reduces Metabolic Risk Factors in Humans. Adv Healthc Mater 2020; 9:e2000057. [PMID: 32352221 DOI: 10.1002/adhm.202000057] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Revised: 04/08/2020] [Indexed: 12/29/2022]
Abstract
Engineered mesoporous silica particles (MSP) are thermally and chemically stable porous materials composed of pure silica and have attracted attention for their potential biomedical applications. Oral intake of engineered MSP is shown to reduce body weight and adipose tissue in mice. Here, clinical data from a first-in-humans study in ten healthy individuals with obesity are reported, demonstrating a reduction in glycated hemoglobin (HbA1c) and low-density lipoprotein cholesterol, which are well-established metabolic and cardiovascular risk factors. In vitro investigations demonstrate sequestration of pancreatic α-amylase and lipase in an MSP pore-size dependent manner. Subsequent ex vivo experiments in conditions mimicking intestinal conditions and in vivo experiments in mice show a decrease in enzyme activity upon exposure to the engineered MSP, presumably by the same mechanism. Therefore, it is suggested that tailored MSP act by lowering the digestive enzyme availability in the small intestine, resulting in decreased digestion of macronutrient and leading to reduced caloric uptake. This novel MSP based mechanism-of-action, combined with its excellent safety in man, makes it a promising future agent for prevention and treatment of metabolic diseases.
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Affiliation(s)
- Erik R. Waara
- Stockholm University Stockholm 106 91 Sweden
- Sigrid Therapeutics AB Stockholm 171 65 Sweden
| | - Muhammad N. Iqbal
- Stockholm University Stockholm 106 91 Sweden
- Sigrid Therapeutics AB Stockholm 171 65 Sweden
| | | | | | | | - Agata M. Wasik
- Sigrid Therapeutics AB Stockholm 171 65 Sweden
- Karolinska Institutet Stockholm 171 77 Sweden
| | | | | | - Mia Rinde
- Stockholm University Stockholm 106 91 Sweden
| | | | | | | | | | - Tore Bengtsson
- Sigrid Therapeutics AB Stockholm 171 65 Sweden
- Department of Molecular BiosciencesThe Wenner‐Gren InstituteStockholm University Stockholm 106 91 Sweden
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18
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Lowry DE, Feng Z, Jeejeebhoy K, Dhaliwal R, Brauer P, Royall D, Tremblay A, Klein D, Mutch DM. Prediction modelling of 1-year outcomes to a personalized lifestyle intervention for Canadians with metabolic syndrome. Appl Physiol Nutr Metab 2020; 45:621-627. [PMID: 31738589 DOI: 10.1139/apnm-2019-0375] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Metabolic syndrome (MetS) comprises a cluster of risk factors that includes central obesity, hypertension, dyslipidemia, and impaired glucose homeostasis. Although lifestyle interventions reduce MetS risk, not everyone responds to the same extent. The primary objective of this study was to identify variables that could predict 1-year changes in MetS risk in individuals participating in the Canadian Health Advanced by Nutrition and Graded Exercise (CHANGE) program. Participants were allocated into training (n = 157) and test (n = 29) datasets by availability of genetic data. A linear mixed-effect model revealed that age, medication, fasting glucose, triglycerides, high-density lipoprotein cholesterol, waist circumference, systolic blood pressure, and fibre intake were associated with continuous MetS (cMetS) score across all time points. Multiple linear regressions were then used to build 2 prediction models using 1-year cMetS score as the outcome variable. Model 1 included only baseline variables and was 38% accurate for predicting cMetS score. Model 2 included both baseline variables and the 3-month change in cMetS score and was 86% accurate. As a secondary objective, we also examined if we could build a model to predict a person's categorical response bin (i.e., positive responder, nonresponder, or adverse responder) at 1 year using the same variables. We found 72% concordance between predicted and observed outcomes. These various prediction models need to be further tested in independent cohorts but provide a potentially promising new tool to project patient outcomes during lifestyle interventions for MetS. Novelty Short-term changes in cMetS score improve prediction model performance compared with only baseline variables. Predictive models could potentially facilitate clinical decision-making for personalized treatment plans.
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Affiliation(s)
- Dana E Lowry
- Department of Human Health and Nutritional Sciences, University of Guelph, Guelph, ON N1G 2W1, Canada
| | - Zeny Feng
- Department of Mathematics and Statistics, University of Guelph, Guelph, ON N1G 2W1, Canada
| | | | | | - Paula Brauer
- Department of Family Relations and Applied Nutrition, University of Guelph, Guelph, ON N1G 2W1, Canada
| | - Dawna Royall
- Department of Family Relations and Applied Nutrition, University of Guelph, Guelph, ON N1G 2W1, Canada
| | - Angelo Tremblay
- Department of Kinesiology, Faculty of Medicine, Université Laval, Québec City, QC G1V 0A6, Canada
| | - Doug Klein
- Department of Family Medicine, University of Alberta, Edmonton, AB T6G 2R7, Canada
| | - David M Mutch
- Department of Human Health and Nutritional Sciences, University of Guelph, Guelph, ON N1G 2W1, Canada
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19
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Coppell K, Freer T, Abel S, Whitehead L, Tipene-Leach D, Gray AR, Merriman T, Sullivan T, Krebs J, Perreault L. What predicts regression from pre-diabetes to normal glucose regulation following a primary care nurse-delivered dietary intervention? A study protocol for a prospective cohort study. BMJ Open 2019; 9:e033358. [PMID: 31822546 PMCID: PMC6924756 DOI: 10.1136/bmjopen-2019-033358] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
INTRODUCTION Pre-diabetes is a high-risk state for the development of type 2 diabetes mellitus (T2DM) and cardiovascular disease. Regression to normoglycaemia, even if transient, significantly reduces the risk of developing T2DM. The primary aim of this mixed-methods study is to determine if there are clinically relevant differences among those with pre-diabetes and excess weight who regress to normoglycaemia, those who have persistent pre-diabetes and those who progress to T2DM following participation in a 6-month primary care nurse-delivered pre-diabetes dietary intervention. Incidence of T2DM at 2 years will be examined. METHODS AND ANALYSIS Four hundred participants with pre-diabetes (New Zealand definition glycated haemoglobin 41-49 mmol/mol) and a body mass index >25 kg/m2 will be recruited through eight primary care practices in Hawke's Bay, New Zealand. Trained primary care nurses will deliver a 6-month structured dietary intervention, followed by quarterly reviews for 18 months post-intervention. Clinical data, data on lifestyle factors and health-related quality of life (HR-QoL) and blood samples will be collected at baseline, 6 months, 12 months and 24 months. Sixty participants purposefully selected will complete a semi-structured interview following the 6-month intervention. Poisson regression with robust standard errors and clustered by practice will be used to identify predictors of regression or progression at 6 months, and risk factors for developing T2DM at 2 years. Qualitative data will be analysed thematically. Changes in HR-QoL will be described and potential cost savings will be estimated from a funder's perspective at 2 years. ETHICS AND DISSEMINATION This study was approved by the Northern A Health and Disability Ethics Committee, New Zealand (Ethics Reference: 17/NTA/24). Study results will be presented to participants, published in peer-reviewed journals and presented at relevant conferences. TRIAL REGISTRATION NUMBER ACTRN12617000591358; Pre-results.
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Affiliation(s)
- Kirsten Coppell
- Department of Medicine, University of Otago, Dunedin, New Zealand
| | | | - Sally Abel
- Kaupapa Consulting Ltd, Napier, New Zealand
| | - Lisa Whitehead
- School of Nursing and Midwifery, Edith Cowan University, Joondalup, Western Australia, Australia
| | - David Tipene-Leach
- Faculty of Education, Humanities and Health Science, Eastern Institute of Technology, Napier, New Zealand
| | - Andrew R Gray
- Centre for Biostatistics, University of Otago, Dunedin, New Zealand
| | - Tony Merriman
- Department of Biochemistry, University of Otago, Dunedin, New Zealand
| | - Trudy Sullivan
- Department of Preventive and Social Medicine, University of Otago, Dunedin, New Zealand
| | - Jeremy Krebs
- Department of Medicine, University of Otago Wellington, Wellington, New Zealand
| | - Leigh Perreault
- Department of Medicine, University of Colorado, Denver, Colorado, USA
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20
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Madsen KS, Chi Y, Metzendorf M, Richter B, Hemmingsen B. Metformin for prevention or delay of type 2 diabetes mellitus and its associated complications in persons at increased risk for the development of type 2 diabetes mellitus. Cochrane Database Syst Rev 2019; 12:CD008558. [PMID: 31794067 PMCID: PMC6889926 DOI: 10.1002/14651858.cd008558.pub2] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND The projected rise in the incidence of type 2 diabetes mellitus (T2DM) could develop into a substantial health problem worldwide. Whether metformin can prevent or delay T2DM and its complications in people with increased risk of developing T2DM is unknown. OBJECTIVES To assess the effects of metformin for the prevention or delay of T2DM and its associated complications in persons at increased risk for the T2DM. SEARCH METHODS We searched the Cochrane Central Register of Controlled Trials, MEDLINE, Scopus, ClinicalTrials.gov, the World Health Organization (WHO) International Clinical Trials Registry Platform and the reference lists of systematic reviews, articles and health technology assessment reports. We asked investigators of the included trials for information about additional trials. The date of the last search of all databases was March 2019. SELECTION CRITERIA We included randomised controlled trials (RCTs) with a duration of one year or more comparing metformin with any pharmacological glucose-lowering intervention, behaviour-changing intervention, placebo or standard care in people with impaired glucose tolerance, impaired fasting glucose, moderately elevated glycosylated haemoglobin A1c (HbA1c) or combinations of these. DATA COLLECTION AND ANALYSIS Two review authors read all abstracts and full-text articles and records, assessed risk of bias and extracted outcome data independently. We used a random-effects model to perform meta-analysis and calculated risk ratios (RRs) for dichotomous outcomes and mean differences (MDs) for continuous outcomes, using 95% confidence intervals (CIs) for effect estimates. We assessed the certainty of the evidence using GRADE. MAIN RESULTS We included 20 RCTs randomising 6774 participants. One trial contributed 48% of all participants. The duration of intervention in the trials varied from one to five years. We judged none of the trials to be at low risk of bias in all 'Risk of bias' domains. Our main outcome measures were all-cause mortality, incidence of T2DM, serious adverse events (SAEs), cardiovascular mortality, non-fatal myocardial infarction or stroke, health-related quality of life and socioeconomic effects.The following comparisons mostly reported only a fraction of our main outcome set. Fifteen RCTs compared metformin with diet and exercise with or without placebo: all-cause mortality was 7/1353 versus 7/1480 (RR 1.11, 95% CI 0.41 to 3.01; P = 0.83; 2833 participants, 5 trials; very low-quality evidence); incidence of T2DM was 324/1751 versus 529/1881 participants (RR 0.50, 95% CI 0.38 to 0.65; P < 0.001; 3632 participants, 12 trials; moderate-quality evidence); the reporting of SAEs was insufficient and diverse and meta-analysis could not be performed (reported numbers were 4/118 versus 2/191; 309 participants; 4 trials; very low-quality evidence); cardiovascular mortality was 1/1073 versus 4/1082 (2416 participants; 2 trials; very low-quality evidence). One trial reported no clear difference in health-related quality of life after 3.2 years of follow-up (very low-quality evidence). Two trials estimated the direct medical costs (DMC) per participant for metformin varying from $220 to $1177 versus $61 to $184 in the comparator group (2416 participants; 2 trials; low-quality evidence). Eight RCTs compared metformin with intensive diet and exercise: all-cause mortality was 7/1278 versus 4/1272 (RR 1.61, 95% CI 0.50 to 5.23; P = 0.43; 2550 participants, 4 trials; very low-quality evidence); incidence of T2DM was 304/1455 versus 251/1505 (RR 0.80, 95% CI 0.47 to 1.37; P = 0.42; 2960 participants, 7 trials; moderate-quality evidence); the reporting of SAEs was sparse and meta-analysis could not be performed (one trial reported 1/44 in the metformin group versus 0/36 in the intensive exercise and diet group with SAEs). One trial reported that 1/1073 participants in the metformin group compared with 2/1079 participants in the comparator group died from cardiovascular causes. One trial reported that no participant died due to cardiovascular causes (very low-quality evidence). Two trials estimated the DMC per participant for metformin varying from $220 to $1177 versus $225 to $3628 in the comparator group (2400 participants; 2 trials; very low-quality evidence). Three RCTs compared metformin with acarbose: all-cause mortality was 1/44 versus 0/45 (89 participants; 1 trial; very low-quality evidence); incidence of T2DM was 12/147 versus 7/148 (RR 1.72, 95% CI 0.72 to 4.14; P = 0.22; 295 participants; 3 trials; low-quality evidence); SAEs were 1/51 versus 2/50 (101 participants; 1 trial; very low-quality evidence). Three RCTs compared metformin with thiazolidinediones: incidence of T2DM was 9/161 versus 9/159 (RR 0.99, 95% CI 0.41 to 2.40; P = 0.98; 320 participants; 3 trials; low-quality evidence). SAEs were 3/45 versus 0/41 (86 participants; 1 trial; very low-quality evidence). Three RCTs compared metformin plus intensive diet and exercise with identical intensive diet and exercise: all-cause mortality was 1/121 versus 1/120 participants (450 participants; 2 trials; very low-quality evidence); incidence of T2DM was 48/166 versus 53/166 (RR 0.55, 95% CI 0.10 to 2.92; P = 0.49; 332 participants; 2 trials; very low-quality evidence). One trial estimated the DMC of metformin plus intensive diet and exercise to be $270 per participant compared with $225 in the comparator group (94 participants; 1 trial; very-low quality evidence). One trial in 45 participants compared metformin with a sulphonylurea. The trial reported no patient-important outcomes. For all comparisons there were no data on non-fatal myocardial infarction, non-fatal stroke or microvascular complications. We identified 11 ongoing trials which potentially could provide data of interest for this review. These trials will add a total of 17,853 participants in future updates of this review. AUTHORS' CONCLUSIONS Metformin compared with placebo or diet and exercise reduced or delayed the risk of T2DM in people at increased risk for the development of T2DM (moderate-quality evidence). However, metformin compared to intensive diet and exercise did not reduce or delay the risk of T2DM (moderate-quality evidence). Likewise, the combination of metformin and intensive diet and exercise compared to intensive diet and exercise only neither showed an advantage or disadvantage regarding the development of T2DM (very low-quality evidence). Data on patient-important outcomes such as mortality, macrovascular and microvascular diabetic complications and health-related quality of life were sparse or missing.
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Affiliation(s)
- Kasper S Madsen
- University of CopenhagenFaculty of Health and Medical SciencesBlegdamsvej 3BCopenhagen NDenmark2200
| | - Yuan Chi
- University Hospital Zurich and University of ZurichInstitute for Complementary and Integrative MedicineSonneggstrasse 6ZurichBeijingSwitzerland8006
| | - Maria‐Inti Metzendorf
- Institute of General Practice, Medical Faculty of the Heinrich‐Heine‐University DüsseldorfCochrane Metabolic and Endocrine Disorders GroupMoorenstr. 5DüsseldorfGermany40225
| | - Bernd Richter
- Institute of General Practice, Medical Faculty of the Heinrich‐Heine‐University DüsseldorfCochrane Metabolic and Endocrine Disorders GroupMoorenstr. 5DüsseldorfGermany40225
| | - Bianca Hemmingsen
- Institute of General Practice, Medical Faculty of the Heinrich‐Heine‐University DüsseldorfCochrane Metabolic and Endocrine Disorders GroupMoorenstr. 5DüsseldorfGermany40225
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21
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Tseng E, Greer RC, O'Rourke P, Yeh HC, McGuire MM, Albright AL, Marsteller JA, Clark JM, Maruthur NM. National Survey of Primary Care Physicians' Knowledge, Practices, and Perceptions of Prediabetes. J Gen Intern Med 2019; 34:2475-2481. [PMID: 31502095 PMCID: PMC6848700 DOI: 10.1007/s11606-019-05245-7] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Revised: 04/01/2019] [Accepted: 06/21/2019] [Indexed: 02/08/2023]
Abstract
BACKGROUND Despite strong evidence and national policy supporting type 2 diabetes prevention, little is known about type 2 diabetes prevention in the primary care setting. OBJECTIVE Our objective was to assess primary care physicians' knowledge and practice regarding perceived barriers and potential interventions to improving management of prediabetes. DESIGN Cross-sectional mailed survey. PARTICIPANTS Nationally representative random sample of US primary care physicians (PCPs) identified from the American Medical Association Physician Masterfile. MAIN MEASURES We assessed PCP knowledge, practice behaviors, and perceptions related to prediabetes. We performed chi-square and Fisher's exact tests to evaluate the association between PCP characteristics and the main survey outcomes. KEY RESULTS In total, 298 (33%) eligible participants returned the survey. PCPs had limited knowledge of risk factors for prediabetes screening, laboratory diagnostic criteria for prediabetes, and management recommendations for patients with prediabetes. Only 36% of PCPs refer patients to a diabetes prevention lifestyle change program as their initial management approach, while 43% discuss starting metformin for prediabetes. PCPs believed that barriers to type 2 diabetes prevention are both at the individual level (e.g., patients' lack of motivation) and at the system level (e.g., lack of weight loss resources). PCPs reported that increased access to and insurance coverage of type 2 diabetes prevention programs and coordination of referral of patients to these resources would facilitate type 2 diabetes preventive efforts. CONCLUSIONS Addressing gaps in PCP knowledge may improve the identification and management of people with prediabetes, but system-level changes are necessary to support type 2 diabetes prevention in the primary care setting.
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Affiliation(s)
- Eva Tseng
- Division of General Internal Medicine, The Johns Hopkins University, Baltimore, MD, USA. .,Welch Center for Prevention, Epidemiology, & Clinical Research, The Johns Hopkins University, Baltimore, MD, USA.
| | - Raquel C Greer
- Division of General Internal Medicine, The Johns Hopkins University, Baltimore, MD, USA.,Welch Center for Prevention, Epidemiology, & Clinical Research, The Johns Hopkins University, Baltimore, MD, USA
| | - Paul O'Rourke
- Division of General Internal Medicine, Johns Hopkins Bayview Medical Center, Baltimore, MD, USA
| | - Hsin-Chieh Yeh
- Division of General Internal Medicine, The Johns Hopkins University, Baltimore, MD, USA.,Welch Center for Prevention, Epidemiology, & Clinical Research, The Johns Hopkins University, Baltimore, MD, USA.,Department of Epidemiology, The Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Maura M McGuire
- Division of General Internal Medicine, The Johns Hopkins University, Baltimore, MD, USA.,Johns Hopkins Community Physicians, Baltimore, MD, USA
| | - Ann L Albright
- Division of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Jill A Marsteller
- Department of Health Policy and Management, The Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jeanne M Clark
- Division of General Internal Medicine, The Johns Hopkins University, Baltimore, MD, USA.,Welch Center for Prevention, Epidemiology, & Clinical Research, The Johns Hopkins University, Baltimore, MD, USA.,Department of Epidemiology, The Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Nisa M Maruthur
- Division of General Internal Medicine, The Johns Hopkins University, Baltimore, MD, USA.,Welch Center for Prevention, Epidemiology, & Clinical Research, The Johns Hopkins University, Baltimore, MD, USA.,Department of Epidemiology, The Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
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Pratte KA, Johnson A, Beals J, Bullock A, Manson SM, Jiang L. Regression to Normal Glucose Regulation in American Indians and Alaska Natives of a Diabetes Prevention Program. Diabetes Care 2019; 42:1209-1216. [PMID: 31177184 PMCID: PMC6609959 DOI: 10.2337/dc18-1964] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Accepted: 01/13/2019] [Indexed: 02/03/2023]
Abstract
OBJECTIVE This study evaluated whether regression from impaired glucose regulation (IGR) to normal glucose regulation (NGR) after 1 year of a lifestyle intervention reduces diabetes risk in American Indians and Alaska Natives (AI/ANs). In addition, we sought to identify predictors for regression to NGR and understand possible mechanisms for the association between NGR and future diabetes risk. RESEARCH DESIGN AND METHODS Data from participants enrolled from 2006 to 2009 in the Special Diabetes Program for Indians Diabetes Prevention Program with IGR at baseline and an oral glucose tolerance test at year 1 were analyzed (N = 1,443). Cox regression models were used to estimate the subsequent diabetes risk (year 1 to year 3) by year 1 glucose status. Mediation analysis was used to estimate the proportions of the association between year 1 glycemic status and diabetes risk explained by specific factors. RESULTS Those who reverted to NGR at year 1 (38%) had lower diabetes risk than those with sustained IGR (adjusted hazard ratio 0.28, 95% CI 0.12-0.67). The lower risk associated with regression to NGR was explained by both baseline risk factors and differences in weight loss. Metformin use, weight loss, and an increase in exercise were modifiable risk factors associated with higher odds of regression to NGR. CONCLUSIONS Patients with prediabetes who reverted to NGR had a reduced risk of developing type 2 diabetes over the next 2 years. Both baseline and modifiable risk factors explained the risk reduction associated with NGR.
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Affiliation(s)
- Katherine A Pratte
- Department of Epidemiology, School of Medicine, University of California, Irvine, Irvine, CA
| | - Ann Johnson
- Centers for American Indian and Alaska Native Health, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Janette Beals
- Centers for American Indian and Alaska Native Health, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Ann Bullock
- Division of Diabetes Treatment and Prevention, Indian Health Service, Rockville, MD
| | - Spero M Manson
- Centers for American Indian and Alaska Native Health, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Luohua Jiang
- Department of Epidemiology, School of Medicine, University of California, Irvine, Irvine, CA
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Abstract
IN BRIEF Type 2 diabetes can be prevented or delayed in people with prediabetes through participation in an intensive lifestyle change program (LCP), particularly one based on the Diabetes Prevention Program research study. Digital health offers opportunities to extend the reach of such LCPs and possibly improve on these programs, which traditionally have been delivered in person. In this review, we describe the current state of evidence regarding digital health-supported LCPs and discuss gaps in research and opportunities for future efforts.
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Jasik CB, Joy E, Brunisholz KD, Kirley K. Practical Tips for Implementing the Diabetes Prevention Program in Clinical Practice. Curr Diab Rep 2018; 18:70. [PMID: 30088230 DOI: 10.1007/s11892-018-1034-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
PURPOSE OF REVIEW The Diabetes Prevention Program (DPP) is an evidence-based lifestyle change program for prediabetes that is associated with a 58% reduction in 3-year diabetes incidence, and it has been supported by the American Medical Association and the Centers for Disease Control and Prevention. However, 9 in 10 patients are unaware they have the condition. RECENT FINDINGS With the passage of the Affordable Care Act (ACA) and broadened coverage for preventive services, the DPP has emerged as an accessible intervention in patients at risk. In 2018, Medicare began to cover the DPP, making it widely available for the first time to any patient over the age of 65 meeting eligibility criteria. The DPP is an evidence-based, widely available, frequently covered benefit, for lifestyle change for patients with prediabetes. To take advantage of this intervention, providers need to develop prediabetes screening and DPP referral workflows.
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Affiliation(s)
- Carolyn Bradner Jasik
- Omada Health, Inc., 500 Sansome Street, San Francisco, CA, 94111, USA.
- Department of Pediatrics, University of California, San Francisco, CA, USA.
| | - Elizabeth Joy
- Community Health, Intermountain Healthcare, 389 S 900 E, Salt Lake City, UT, 84102, USA
- Family & Preventive Medicine, University of Utah, 389 S 900 E, Salt Lake City, UT, 84102, USA
| | - Kimberly D Brunisholz
- Institute for Healthcare Delivery Research, Intermountain Healthcare, 389 S 900 E, Salt Lake City, UT, 84102, USA
- Division of Epidemiology, University of Utah, 389 S 900 E, Salt Lake City, UT, 84102, USA
| | - Katherine Kirley
- American Medical Association, American Medical Association 330 N Wabash Ave, Chicago, IL, 60611, USA
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Qing brick tea (QBT) aqueous extract protects monosodium glutamate-induced obese mice against metabolic syndrome and involves up-regulation Transcription Factor Nuclear Factor-Erythroid 2-Related Factor 2 (Nrf2) antioxidant pathway. Biomed Pharmacother 2018; 103:637-644. [PMID: 29679905 DOI: 10.1016/j.biopha.2018.04.043] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2017] [Revised: 04/05/2018] [Accepted: 04/06/2018] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Qing brick tea (QBT), traditional and popular beverage for Chinese people, is an important post-fermentation dark tea. Our present study was performed to investigate the ameliorative effects of QBT aqueous extract on metabolic syndrome (Mets) in monosodium glutamate-induced obese mice and the potential mechanisms. METHOD Monosodium glutamate-induced obese mice were used to evaluate the anti-Mets effects of QBT. Content levels of malonaldehyde (MDA), reactive oxygen species (ROS) and protein carbonylation, antioxidant enzyme activities of superoxide dismutase (SOD), glutathione peroxidase (GPx), catalase (CAT), glutathione reductase (GR) in the skeletal muscle were assessed by commercial kits, respectively. Western blot and Q-PCR were used to detect the expressions of Transcription Factor Nuclear Factor-Erythroid 2-Related Factor 2 (Nrf2) signaling pathway and downstream antioxidant factors. In addition, activity of AKT signaling and expression of glucose transporter type 4 (GLUT4) in the skeletal muscle were investigated by western blot. RESULT QBT treatment limited gain of body weight, waistline and LEE index, improved insulin resistance and glucose intolerance, reduced lipid level in MSG mice. Content levels of MDA, ROS and protein carbonylation in skeletal muscle of QBT group were significantly improved compared to those of MSG mice. The antioxidant enzyme activities of SOD, GPx, CAT, and GR were increased in skeletal muscle of MSG mice intervened with QBT. After 20-week QBT treatment, Nrf2 signaling pathway and downstream antioxidant factors were both increased in the skeletal muscle. In addition, QBT treatment improved insulin signaling by preferentially augmenting AKT signaling, as well as increased the protein expression of GLUT4 in the skeletal muscle. CONCLUSION Our results showed that QBT intake was effective in protecting monosodium glutamate-induced obese mice against metabolic syndrome and involved in the Nrf2 signaling pathway in the skeletal muscle.
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26
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Prebtani AP, Bajaj HS, Goldenberg R, Mullan Y. Reducing the Risk of Developing Diabetes. Can J Diabetes 2018; 42 Suppl 1:S20-S26. [DOI: 10.1016/j.jcjd.2017.10.033] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Coppell KJ, Abel SL, Freer T, Gray A, Sharp K, Norton JK, Spedding T, Ward L, Whitehead LC. The effectiveness of a primary care nursing-led dietary intervention for prediabetes: a mixed methods pilot study. BMC FAMILY PRACTICE 2017; 18:106. [PMID: 29268719 PMCID: PMC5740796 DOI: 10.1186/s12875-017-0671-8] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Accepted: 11/28/2017] [Indexed: 12/28/2022]
Abstract
Background Primary care nurse-led prediabetes interventions are seldom reported. We examined the implementation and feasibility of a 6-month multilevel primary care nurse-led prediabetes lifestyle intervention compared with current practice in patients with prediabetes, with weight and glycated haemoglobin (HbA1c) as outcomes. Methods This study used a convergent mixed methods design involving a 6-month pragmatic non-randomised pilot study with a qualitative process evaluation, and was conducted in two neighbouring provincial cities in New Zealand, with indigenous Māori populations comprising 18.2% and 23.0%, respectively. Participants were non-pregnant adults aged ≤ 70 years with newly diagnosed prediabetes (HbA1c 41-49 mmol/mol), body mass index (BMI) ≥ 25 kg/m2 and not prescribed Metformin. A structured dietary intervention tool delivered by primary care nurses with visits at baseline, 2–3 weeks, 3 months and 6 months was implemented in four intervention practices. Four control practices continued to provide usual care. Primary quantitative outcome measures were weight and HbA1c. Linear and quantile regression models were used to compare each outcome between the two groups at follow-up. Qualitative data included: observations of nurse training sessions and steering group meetings; document review; semi-structured interviews with a purposive sample of key informants (n = 17) and intervention patients (n = 20). Thematic analysis was used. Results One hundred fifty-seven patients with prediabetes enrolled (85 intervention, 72 control), 47.8% female and 31.2% Māori. Co-morbidities were common, particularly hypertension (49.7%), dyslipidaemia (40.1%) and gout (15.9%). Baseline and 6 month measures were available for 91% control and 79% intervention participants. After adjustment, the intervention group lost a mean 1.3 kg more than the control group (p < 0.001). Mean HbA1c, BMI and waist circumference decreased in the intervention group and increased in the control group, but differences were not statistically significant. Implementation fidelity was high, and it was feasible to implement the intervention in busy general practice settings. The intervention was highly acceptable to both patients and key stakeholders, especially primary care nurses. Conclusions Study findings confirm the feasibility and acceptability of primary care nurses providing structured dietary advice to patients with prediabetes in busy general practice settings. The small but potentially beneficial mean weight loss among the intervention group supports further investigation. Trial Registration ANZCTR ACTRN12615000806561. Registered 3 August 2015 (Retrospectively registered). Electronic supplementary material The online version of this article (10.1186/s12875-017-0671-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Kirsten J Coppell
- Edgar Diabetes and Obesity Research, Department of Medicine, Dunedin School of Medicine, University of Otago, PO Box 56, Dunedin, 9054, New Zealand.
| | - Sally L Abel
- Kaupapa Consulting Ltd, Napier, 4110, New Zealand
| | - Trish Freer
- Health Hawke's Bay - Te Oranga Hawke's Bay, PO Box 11141, Hastings, 4158, New Zealand
| | - Andrew Gray
- Department of Preventive and Social Medicine, Dunedin School of Medicine, University of Otago, PO Box 56, Dunedin, 9054, New Zealand
| | - Kiri Sharp
- Edgar Diabetes and Obesity Research, Department of Medicine, Dunedin School of Medicine, University of Otago, PO Box 56, Dunedin, 9054, New Zealand
| | - Joanna K Norton
- Edgar Diabetes and Obesity Research, Department of Medicine, Dunedin School of Medicine, University of Otago, PO Box 56, Dunedin, 9054, New Zealand
| | - Terrie Spedding
- Health Hawke's Bay - Te Oranga Hawke's Bay, PO Box 11141, Hastings, 4158, New Zealand
| | - Lillian Ward
- Health Hawke's Bay - Te Oranga Hawke's Bay, PO Box 11141, Hastings, 4158, New Zealand
| | - Lisa C Whitehead
- School of Nursing and Midwifery, Edith Cowan University, 270 Joondalup Drive, Joondalup, 6027, Australia
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Implementing Evidence-Based Nutrition Practice Guidelines for Type 2 Diabetes Mellitus in Lebanon. TOP CLIN NUTR 2017; 32:316-329. [PMID: 29238132 PMCID: PMC5704736 DOI: 10.1097/tin.0000000000000120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Lebanon is a Middle Eastern country experiencing a surge in the prevalence of type 2 diabetes mellitus among adults. This pilot study evaluated the feasibility and outcomes of implementing the Academy of Nutrition and Dietetics Evidence-Based Nutrition Practice Guidelines (EBNPGs) as part of medical care for patients newly diagnosed with type 2 diabetes mellitus. Seventy-five patients were recruited from 3 Lebanese hospitals, received nutrition care according to EBNPGs, and were followed up for 12 months. Patients achieved significant improvement in clinical outcomes between baseline and 3, 6, and 12 months. Further research is recommended to confirm the benefits of using EBNPGs.
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Tseng E, Yeh HC, Maruthur NM. Metformin Use in Prediabetes Among U.S. Adults, 2005-2012. Diabetes Care 2017; 40:887-893. [PMID: 28373205 PMCID: PMC5481991 DOI: 10.2337/dc16-1509] [Citation(s) in RCA: 52] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2016] [Accepted: 03/12/2017] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To determine the prevalence of and characteristics associated with metformin use among U.S. adults with prediabetes using the National Health and Nutrition Examination Survey (NHANES) 2005-2012. RESEARCH DESIGN AND METHODS The American Diabetes Association's guidelines for metformin use in prediabetes have evolved, with 2017 recommendations suggesting metformin be considered in patients with prediabetes and additional risk factors (BMI ≥35 kg/m2, age <60 years, or prior gestational diabetes mellitus) or rising hemoglobin A1c (HbA1c). We estimated the age-adjusted prevalence of metformin use among individuals with prediabetes (defined by HbA1c 5.7-6.4%, fasting glucose 100-125 mg/dL, 2-h poststimulated glucose 140-199 mg/dL, or self-report) and used multivariate logistic regression to evaluate characteristics associated with metformin use. RESULTS Of 22,174 adults, 7,652 had prediabetes. The age-adjusted prevalence of metformin use among those with prediabetes was 0.7%. Metformin use was associated with higher mean BMI (35.1 kg/m2 vs. 29.6 kg/m2, P < 0.01) and higher glucose (fasting glucose 114 mg/dL vs. 105 mg/dL, P = 0.03; 2-h poststimulated glucose 155 mg/dL vs. 128 mg/dL, P = 0.003; and HbA1c 6.0% [42 mmol/mmol] vs. 5.6% [38 mmol/mmol], P < 0.01). Metformin use was low even among those with BMI ≥35 kg/m2, a group for whom metformin use is recommended. Metformin use did not vary by race, poverty-to-income ratio, or education. CONCLUSIONS Metformin use was <1% among U.S. adults with prediabetes and only slightly more common among those with additional risk factors for diabetes.
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Affiliation(s)
- Eva Tseng
- Division of General Internal Medicine, Johns Hopkins University, Baltimore, MD
| | - Hsin-Chieh Yeh
- Division of General Internal Medicine, Johns Hopkins University, Baltimore, MD
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD
| | - Nisa M Maruthur
- Division of General Internal Medicine, Johns Hopkins University, Baltimore, MD
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, MD
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Baye E, Naderpoor N, Misso M, Teede H, Moran LJ, de Courten B. Treatment with high dose salicylates improves cardiometabolic parameters: Meta-analysis of randomized controlled trials. Metabolism 2017; 71:94-106. [PMID: 28521883 DOI: 10.1016/j.metabol.2017.03.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2016] [Revised: 02/13/2017] [Accepted: 03/06/2017] [Indexed: 12/17/2022]
Abstract
INTRODUCTION There is conflicting evidence regarding the efficacy of high dose salicylates in improving cardiometabolic risk in healthy and type 2 diabetes patients. We aimed to determine whether treatment with salicylates at an anti-inflammatory dose (≥1g daily) would improve cardiometabolic risk in healthy individuals and type 2 diabetes patients, compared to placebo. METHODS Medline, Medline-in-process, Embase, and all EBM databases were searched for studies published up to December 2016. Twenty-eight articles from 24 studies comprising 1591 participants were included. Two reviewers independently assessed the risk of bias and extracted data from included studies. Meta-analyses using random-effects model were used to analyze the data. RESULTS High dose salicylates (≥3g/d) decreased fasting glucose (MD -0.4mmol/l, 95% CI -0.54, -0.27) and glucose area under the curve (MD -0.41mmol/l, 95% CI -0.81, -0.01). Salicylates (≥3g/d) also increased fasting insulin (MD 2.4 μU/ml, 95% CI 0.3, 4.4), 2-h insulin (MD 25.4 μU/ml, 95% CI 8.2, 42.6), insulin secretion (MD 79.2, 95% CI 35, 123) but decreased fasting C-peptide (MD -0.11nmol/l, 95% CI -0.2, -0.04), insulin clearance (MD -0.26l/min, 95% CI -0.36, -0.16) and triglycerides (MD -0.36mmol/l, 95% CI -0.51, -0.21) and increased total adiponectin (MD 1.97μg/ml, 95% CI 0.99, 2.95). A lower salicylate dose (1-2.9g) did not change any cardiometabolic parameters (p>0.1). No significant difference was observed between those receiving salicylates and placebo following withdrawal due to adverse events. CONCLUSIONS High dose salicylates appear to improve cardiometabolic risk factors in healthy individuals and type 2 diabetes patients. PROSPERO REGISTRATION NUMBER CRD42015029826.
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Affiliation(s)
- Estifanos Baye
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, 43-51 Kanooka Grove, Clayton, VIC 3168, Australia
| | - Negar Naderpoor
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, 43-51 Kanooka Grove, Clayton, VIC 3168, Australia; Diabetes and Vascular Medicine Unit, Monash Health, Locked Bag 29, Clayton, VIC 3168, Australia
| | - Marie Misso
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, 43-51 Kanooka Grove, Clayton, VIC 3168, Australia
| | - Helena Teede
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, 43-51 Kanooka Grove, Clayton, VIC 3168, Australia; Diabetes and Vascular Medicine Unit, Monash Health, Locked Bag 29, Clayton, VIC 3168, Australia
| | - Lisa J Moran
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, 43-51 Kanooka Grove, Clayton, VIC 3168, Australia
| | - Barbora de Courten
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, 43-51 Kanooka Grove, Clayton, VIC 3168, Australia; Diabetes and Vascular Medicine Unit, Monash Health, Locked Bag 29, Clayton, VIC 3168, Australia.
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Spahis S, Borys JM, Levy E. Metabolic Syndrome as a Multifaceted Risk Factor for Oxidative Stress. Antioxid Redox Signal 2017; 26:445-461. [PMID: 27302002 DOI: 10.1089/ars.2016.6756] [Citation(s) in RCA: 83] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
SIGNIFICANCE Metabolic syndrome (MetS) is associated with a greater risk of diabetes and cardiovascular diseases. It is estimated that this multifactorial condition affects 20%-30% of the world's population. A detailed understanding of MetS mechanisms is crucial for the development of effective prevention strategies and adequate intervention tools that could curb its increasing prevalence and limit its comorbidities, particularly in younger age groups. With advances in basic redox biology, oxidative stress (OxS) involvement in the complex pathophysiology of MetS has become widely accepted. Nevertheless, its clear association with and causative effects on MetS require further elucidation. Recent Advances: Although a better understanding of the causes, risks, and effects of MetS is essential, studies suggest that oxidant/antioxidant imbalance is a key contributor to this condition. OxS is now understood to be a major underlying mechanism for mitochondrial dysfunction, ectopic lipid accumulation, and gut microbiota impairment. CRITICAL ISSUES Further studies, particularly in the field of translational research, are clearly required to understand and control the production of reactive oxygen species (ROS) levels, especially in the mitochondria, since the various therapeutic trials conducted to date have not targeted this major ROS-generating system, aimed to delay MetS onset, or prevent its progression. FUTURE DIRECTIONS Multiple relevant markers need to be identified to clarify the role of ROS in the etiology of MetS. Future clinical trials should provide important proof of concept for the effectiveness of antioxidants as useful therapeutic approaches to simultaneously counteract mitochondrial OxS, alleviate MetS symptoms, and prevent complications. Antioxid. Redox Signal. 26, 445-461.
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Affiliation(s)
- Schohraya Spahis
- 1 Research Center , Ste-Justine MUHC, Montreal, Canada .,2 Department of Nutrition, Université de Montréal , Montreal, Canada
| | | | - Emile Levy
- 1 Research Center , Ste-Justine MUHC, Montreal, Canada .,2 Department of Nutrition, Université de Montréal , Montreal, Canada .,3 EPODE International Network , Paris, France
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Rehm CD, Marquez ME, Spurrell-Huss E, Hollingsworth N, Parsons AS. Lessons from Launching the Diabetes Prevention Program in a Large Integrated Health Care Delivery System: A Case Study. Popul Health Manag 2017; 20:262-270. [PMID: 28075695 PMCID: PMC5564042 DOI: 10.1089/pop.2016.0109] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
There is urgent need for health systems to prevent diabetes. To date, few health systems have implemented the evidence-based Diabetes Prevention Program (DPP), and the few that have mostly partnered with community-based organizations to implement the program. Given the recent decision by the Centers for Medicare & Medicaid Services to reimburse for diabetes prevention, there is likely much interest in how such programs can be implemented within large health systems or how community partnerships can be expanded to support DPP implementation. Beginning in 2010, Montefiore Health System (MHS), a large health care system in the Bronx, NY, partnered with the Young Men's Christian Association (YMCA) of Greater New York to deliver the YMCA's DPP. Over 4 years, 1390 referrals to YMCA's DPP were made; 287 participants attended ≥3 classes, and average weight loss was 3.4%. Because of increased patient demand and internal capacity, MHS assumed responsibility for DPP implementation in May 2015. Fully integrating the program within the health system took 5–6 months, including configuring electronic health record templates/reports, hiring a coordinator, and creating clinical referral workflows/training guides. Billing workflows were designed for risk-based contracts. In the first 11 months of implementation, 1277 referrals were made, and referrals increased over time. Twenty-four class cycles were initiated, and 282 patients began attending classes. Average weight loss among 61 graduates from the Summer/Fall 2015 wave of MDPP classes was 3.8%. Additional opportunities for expansion include training allied health staff, providing patient incentives, increasing master trainer capacity, offering DPP to employees, and securing reimbursement.
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Affiliation(s)
- Colin D Rehm
- 1 Office of Community & Population Health, Montefiore Health System , Bronx, New York.,2 Department of Epidemiology and Population Health, Albert Einstein College of Medicine , Bronx, New York
| | - Melinda E Marquez
- 1 Office of Community & Population Health, Montefiore Health System , Bronx, New York
| | | | - Nicole Hollingsworth
- 1 Office of Community & Population Health, Montefiore Health System , Bronx, New York
| | - Amanda S Parsons
- 1 Office of Community & Population Health, Montefiore Health System , Bronx, New York.,3 Department of Family & Social Medicine, Albert Einstein College of Medicine , Bronx, New York
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Straszewski A, Jackson JL. Capsule Commentary on Fairchild et al., Patients' future expectations for diabetes and hypertension treatments: "Through the diet… I think this is going to go away ". J Gen Intern Med 2017; 32:88. [PMID: 27785667 PMCID: PMC5215170 DOI: 10.1007/s11606-016-3902-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Clark B, Boghani S, Grullon C, Batista M. The Impact of a Worksite-Based Diabetes Prevention Intervention: A Pilot Study. Popul Health Manag 2016; 20:233-238. [PMID: 27623353 DOI: 10.1089/pop.2016.0055] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The purpose of this study was to assess the impact of a program to prevent the development of type 2 diabetes among participants with prediabetes. The program focused on a healthy eating style, behavior modification, daily physical activity, and achieving a healthy weight. This was a retrospective observational analysis of a pilot program designed to prevent diabetes among employees with prediabetes. This intervention involved 12-16 weeks of nutrition counseling with the registered dietitian and participation in physical activity of at least 150 min/week. The primary outcome for this study was the prevention of type 2 diabetes. Secondary outcome measures included changes in the following biometrics: body mass index (BMI), systolic blood pressure (SBP), diastolic blood press (DBP), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), total cholesterol, waist circumference, and triglyceride levels. The diabetes prevention intervention was associated with significant improvements in glucose (-6.6%), A1c (-2.9%), weight (-5.5%), BMI (-5.5%), SBP (-4.9%), DBP (-3.9%), total cholesterol (-5.0%), LDL-C (-7.0%), and triglycerides (-13.9%). After the 12-16-week intervention, the prevalence of prediabetes was reduced by 31% by fasting blood glucose or A1c levels. Baseline A1c, baseline glucose level, age, and number of sessions attended were all significant predictors of the odds of transitioning out of the prediabetes stage, controlling for all other covariates in the model. This pilot study suggests that the implementation of a worksite diabetes prevention intervention can help employees transition from a prediabetes status to no risk of diabetes.
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Affiliation(s)
- Bobby Clark
- 1 Department of Health Analytics, Research, and Reporting, Walgreen Co. , Deerfield, Illinois
| | - Safia Boghani
- 1 Department of Health Analytics, Research, and Reporting, Walgreen Co. , Deerfield, Illinois
| | - Cristina Grullon
- 2 Department of Operations, Premise Health , Brentwood, Tennessee
| | - Marcia Batista
- 2 Department of Operations, Premise Health , Brentwood, Tennessee
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Song J, Zha X, Li H, Guo R, Zhu Y, Wen Y. Analysis of Blood Glucose Distribution Characteristics and Its Risk Factors among a Health Examination Population in Wuhu (China). INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2016; 13:392. [PMID: 27043603 PMCID: PMC4847054 DOI: 10.3390/ijerph13040392] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/22/2016] [Revised: 03/18/2016] [Accepted: 03/28/2016] [Indexed: 12/29/2022]
Abstract
Background: Diabetes mellitus (DM) and Impaired Fasting Glucose (IFG) represent serious threats to human health, and as a result, this study was aimed at understanding the blood glucose distribution characteristics and the risk factors among a large health examination population in China. Methods: An investigation with physical and biochemical examinations and questionnaires was conducted in the physical examination center from 2011 to 2014 and as a result 175,122 physical examination attendees were enrolled in this study. Multivariate logistic regression was used to explore the factors influencing blood sugar levels. Results: The rates of IFG and DM were 6.0% and 3.8%. Prevalence were 7.6%/5.1% in males and 5.1%/2.8% in females for IFG and DM, respectively. The prevalence of IFG and DM were thus higher in males than in females. In the normal group, except high density lipoprotein (HDL) that was significantly higher than in the IFG and DM group, the other indexes (age, body mass index (BMI), glucose (Glu), total cholesterol (TC) and total glycerides (TG) were lower than those in the IFG and DM group. The proportion of IFG and DM also increased with the increases in proportion of abnormal blood pressure, smoking and alcohol consumption. Multivariate logistic regression analysis showed that increasing age, high BMI, high TC, high TG and low HDL increased the risk of diabetes, while in males, in addition to the above factors, the smoking and drinking factors also increased the risk of diabetes. After the age of 65, the blood glucose level reached a peak in males, while in females, the increasing trends was on the rise. The inflexion age of the fast rise was younger in males than in females. Conclusion: The study population showed a high prevalence of DM and IFG among the adults. Regular physical examination for the early detection of diabetes is recommended in the high-risk population.
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Affiliation(s)
- Jiangen Song
- School of Public Health, Wannan Medical College, Wuhu 241002, Anhui, China.
| | - Xiaojuan Zha
- Department of Physical Examination, Yijishan Hospital of Wannan Medical College, Wuhu 241002, Anhui, China.
| | - Haibo Li
- School of Public Health, Wannan Medical College, Wuhu 241002, Anhui, China.
| | - Rui Guo
- School of Public Health, Wannan Medical College, Wuhu 241002, Anhui, China.
| | - Yu Zhu
- School of Public Health, Wannan Medical College, Wuhu 241002, Anhui, China.
| | - Yufeng Wen
- School of Public Health, Wannan Medical College, Wuhu 241002, Anhui, China.
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Michaelides A, Raby C, Wood M, Farr K, Toro-Ramos T. Weight loss efficacy of a novel mobile Diabetes Prevention Program delivery platform with human coaching. BMJ Open Diabetes Res Care 2016; 4:e000264. [PMID: 27651911 PMCID: PMC5020857 DOI: 10.1136/bmjdrc-2016-000264] [Citation(s) in RCA: 83] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2016] [Revised: 07/19/2016] [Accepted: 08/11/2016] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVE To evaluate the weight loss efficacy of a novel mobile platform delivering the Diabetes Prevention Program. RESEARCH DESIGN AND METHODS 43 overweight or obese adult participants with a diagnosis of prediabetes signed-up to receive a 24-week virtual Diabetes Prevention Program with human coaching, through a mobile platform. Weight loss and engagement were the main outcomes, evaluated by repeated measures analysis of variance, backward regression, and mediation regression. RESULTS Weight loss at 16 and 24 weeks was significant, with 56% of starters and 64% of completers losing over 5% body weight. Mean weight loss at 24 weeks was 6.58% in starters and 7.5% in completers. Participants were highly engaged, with 84% of the sample completing 9 lessons or more. In-app actions related to self-monitoring significantly predicted weight loss. CONCLUSIONS Our findings support the effectiveness of a uniquely mobile prediabetes intervention, producing weight loss comparable to studies with high engagement, with potential for scalable population health management.
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Affiliation(s)
| | | | | | - Kit Farr
- Noom, Inc., New York, New York , USA
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Roman-Urrestarazu A, Ali FMH, Reka H, Renwick MJ, Roman GD, Mossialos E. Structural equation model for estimating risk factors in type 2 diabetes mellitus in a Middle Eastern setting: evidence from the STEPS Qatar. BMJ Open Diabetes Res Care 2016; 4:e000231. [PMID: 27752326 PMCID: PMC5051333 DOI: 10.1136/bmjdrc-2016-000231] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2016] [Revised: 06/18/2016] [Accepted: 07/21/2016] [Indexed: 12/28/2022] Open
Abstract
AIMS Understanding type 2 diabetes mellitus is critical for designing effective diabetes prevention policies in Qatar and the Middle East. METHODS Using the Qatar 2012 WHO STEPwise approach to surveillance survey, a subsample of 1224 Qatari participants aged 18-64 years was selected. Subjects had their fasting blood glucose levels tested, had not been diagnosed with or treated for diabetes, had a fasting time >12 hours and were not pregnant. We applied a hypothesized structural equation model (SEM) to assess sociodemographic, behavioral, anthropometric and metabolic variables affecting persons with type 2 diabetes mellitus. RESULTS There is a direct effect of triglyceride levels (0.336) and body mass index (BMI) (0.164) on diabetes status. We also found that physical activity levels negatively affect BMI (-0.148) and positively affect high-density lipoprotein (HDL) (0.106); sociodemographic background negatively affects diet (-0.522) and BMI (-0.352); HDL positively affects total cholesterol (0.230) and has a negative effect on BMI (-0.108), triglycerides (-0.128) and waist circumference (-0.104). Diet has a positive effect on triglycerides (0.281) while family history of diabetes negatively affects total cholesterol (-0.104). BMI has a positive effect on waist circumference (0.788) and mediates the effects of physical activity over diabetes status (-0.028). BMI also mediates the effects that sociodemographic factors (-0.058) and physical activity (-0.024) have on diabetes status. BMI and HDL (-0.002) together mediate the effect of physical activity on diabetes status and similarly HDL and tryglycerides (-0.005) also mediate the effect of physical activity on diabetes status. Finally diet and tryglycerides mediate the effects that sociodemographic factors have on diabetes status (-0.049). CONCLUSIONS This study's main finding is that triglyceride levels and BMI are the main variables directly affecting diabetes status in the Qatari population.
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Affiliation(s)
| | | | - Husein Reka
- Qatar Supreme Council of Health, Doha, Qatar
| | - Matthew J Renwick
- LSE Health, London School of Economics and Political Science, London, UK
| | - Gabriela D Roman
- Institute of Criminology, University of Cambridge, Cambridge, UK
| | - Elias Mossialos
- LSE Health, London School of Economics and Political Science, London, UK
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Weinhold KR, Miller CK, Marrero DG, Nagaraja HN, Focht BC, Gascon GM. A Randomized Controlled Trial Translating the Diabetes Prevention Program to a University Worksite, Ohio, 2012-2014. Prev Chronic Dis 2015; 12:E210. [PMID: 26605710 PMCID: PMC4674443 DOI: 10.5888/pcd12.150301] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Introduction Working adults spend much time at the workplace, an ideal setting for wellness programs targeting weight loss and disease prevention. Few randomized trials have evaluated the efficacy of worksite diabetes prevention programs. This study evaluated the efficacy of a worksite lifestyle intervention on metabolic and behavioral risk factors compared with usual care. Methods A pretest–posttest control group design with 3-month follow-up was used. Participants with prediabetes were recruited from a university worksite and randomized to receive a 16-week lifestyle intervention (n = 35) or usual care (n = 34). Participants were evaluated at baseline, postintervention, and 3-month follow-up. Dietary intake was measured by a food frequency questionnaire and level of physical activity by accelerometers. Repeated measures analysis of variance compared the change in outcomes between and within groups. Results Mean (standard error [SE]) weight loss was greater in the intervention (−5.5% [0.6%]) than in the control (−0.4% [0.5%]) group (P < .001) postintervention and was sustained at 3-month follow-up (P < .001). Mean (SE) reductions in fasting glucose were greater in the intervention (−8.6 [1.6] mg/dL) than in the control (−3.7 [1.6] mg/dL) group (P = .02) postintervention; both groups had significant glucose reductions at 3-month follow-up (P < .001). In the intervention group, the intake of total energy and the percentage of energy from all fats, saturated fats, and trans fats decreased, and the intake of dietary fiber increased (all P < .01) postintervention. Conclusion The worksite intervention improved metabolic and behavioral risk factors among employees with prediabetes. The long-term impact on diabetes prevention and program sustainability warrant further investigation.
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Affiliation(s)
| | - Carla K Miller
- The Ohio State University, 1787 Neil Ave, 325 Campbell Hall, Columbus, OH 43210.
| | - David G Marrero
- Indiana University School of Medicine, Indianapolis, Indiana
| | | | | | - Gregg M Gascon
- The Ohio State University Health Plan, Inc, Columbus, Ohio
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Natural Nrf2 activators in diabetes. Clin Chim Acta 2015; 448:182-92. [PMID: 26165427 DOI: 10.1016/j.cca.2015.07.009] [Citation(s) in RCA: 97] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2015] [Revised: 06/30/2015] [Accepted: 07/07/2015] [Indexed: 12/21/2022]
Abstract
Prediabetes and diabetes are rising worldwide. Control of blood glucose is crucial to prevent or delay diabetic complications that frequently result in increased morbidity and mortality. Most strategies include medical treatment and changes in lifestyle and diet. Some nutraceutical compounds have been recognized as adjuvants in diabetes control. Many of them can activate the nuclear factor (erythroid-derived 2)-like 2 (Nrf2), which has been recognized as a master regulator of the antioxidant response. Recent studies have described the role of Nrf2 in obesity, metabolic syndrome, nephropathy, retinopathy and neuropathy, where its activation prevents the development of diabetes and its complications. It has been demonstrated that natural compounds derived from plants, vegetables, fungi and micronutrients (such as curcumin, sulforaphane, resveratrol and vitamin D among others) can activate Nrf2 and, thus, promote antioxidant pathways to mitigate oxidative stress and hyperglycemic damage. The role of some natural Nrf2 activators and its effect in diabetes is discussed.
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Becker BE. 46th Walter J. Zeiter lecture, exercise is rehabilitation medicine: our history and future. PM R 2015; 7:345-53. [PMID: 25890638 DOI: 10.1016/j.pmrj.2015.02.013] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2015] [Accepted: 02/20/2015] [Indexed: 10/23/2022]
Affiliation(s)
- Bruce E Becker
- University of Washington School of Medicine, 13125 S Fairway Ridge Ln, Spokane, WA 99224∗.
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Dunbar JA, Hernan AL, Janus ED, Vartiainen E, Laatikainen T, Versace VL, Reynolds J, Best JD, Skinner TC, O'Reilly SL, Mc Namara KP, Stewart E, Coates M, Bennett CM, Carter R. Challenges of diabetes prevention in the real world: results and lessons from the Melbourne Diabetes Prevention Study. BMJ Open Diabetes Res Care 2015; 3:e000131. [PMID: 26464804 PMCID: PMC4597415 DOI: 10.1136/bmjdrc-2015-000131] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2015] [Revised: 09/01/2015] [Accepted: 09/03/2015] [Indexed: 01/08/2023] Open
Abstract
OBJECTIVE To assess effectiveness and implementability of the public health programme Life! Taking action on diabetes in Australian people at risk of developing type 2 diabetes. RESEARCH DESIGN AND METHODS Melbourne Diabetes Prevention Study (MDPS) was a unique study assessing effectiveness of Life! that used a randomized controlled trial design. Intervention participants with AUSDRISK score ≥15 received 1 individual and 5 structured 90 min group sessions. Controls received usual care. Outcome measures were obtained for all participants at baseline and 12 months and, additionally, for intervention participants at 3 months. Per protocol set (PPS) and intention to treat (ITT) analyses were performed. RESULTS PPS analyses were considered more informative from our study. In PPS analyses, intervention participants significantly improved in weight (-1.13 kg, p=0.016), waist circumference (-1.35 cm, p=0.044), systolic (-5.2 mm Hg, p=0.028) and diastolic blood pressure (-3.2 mm Hg, p=0.030) compared with controls. Based on observed weight change, estimated risk of developing diabetes reduced by 9.6% in the intervention and increased by 3.3% in control participants. Absolute 5-year cardiovascular disease (CVD) risk reduced significantly for intervention participants by 0.97 percentage points from 9.35% (10.4% relative risk reduction). In control participants, the risk increased by 0.11 percentage points (1.3% relative risk increase). The net effect for the change in CVD risk was -1.08 percentage points of absolute risk (p=0.013). CONCLUSIONS MDPS effectively reduced the risk of diabetes and CVD, but the intervention effect on weight and waist reduction was modest due to the challenges in recruiting high-risk individuals and the abbreviated intervention.
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Affiliation(s)
- James A Dunbar
- Faculty of Health, Deakin Population Health Strategic Research Centre, Deakin University, Melbourne Burwood Campus, Burwood, Victoria, Australia
| | - Andrea L Hernan
- Greater Green Triangle University Department of Rural Health, Flinders and Deakin Universities, Warrnambool, Victoria, Australia
| | - Edward D Janus
- Greater Green Triangle University Department of Rural Health, Flinders and Deakin Universities, Warrnambool, Victoria, Australia
- Western Academic Centre, Western Centre for Health Research and Education, Western Health, University of Melbourne, St. Albans, Victoria, Australia
| | - Erkki Vartiainen
- Greater Green Triangle University Department of Rural Health, Flinders and Deakin Universities, Warrnambool, Victoria, Australia
- National Institute for Health and Welfare, Helsinki, Finland
| | - Tiina Laatikainen
- Greater Green Triangle University Department of Rural Health, Flinders and Deakin Universities, Warrnambool, Victoria, Australia
- National Institute for Health and Welfare, Helsinki, Finland
- Faculty of Health Sciences, Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Vincent L Versace
- Greater Green Triangle University Department of Rural Health, Flinders and Deakin Universities, Warrnambool, Victoria, Australia
| | - John Reynolds
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia
| | - James D Best
- Lee Kong Chian School of Medicine, Nanyang Technological University and Imperial College London, Singapore, Singapore
| | - Timothy C Skinner
- School of Psychological and Clinical Sciences, Charles Darwin University, Darwin, Northern Territory, Australia
| | - Sharleen L O'Reilly
- Centre for Physical Activity and Nutrition Research, Deakin University, Melbourne Burwood Campus, Burwood, Victoria, Australia
| | - Kevin P Mc Namara
- Greater Green Triangle University Department of Rural Health, Flinders and Deakin Universities, Warrnambool, Victoria, Australia
- Faculty of Pharmacy and Pharmaceutical Sciences, Centre for Medicine Use and Safety, Monash University, Parkville, Victoria, Australia
| | - Elizabeth Stewart
- Faculty of Health, Deakin Population Health Strategic Research Centre, Deakin University, Melbourne Burwood Campus, Burwood, Victoria, Australia
| | - Michael Coates
- Greater Green Triangle University Department of Rural Health, Flinders and Deakin Universities, Warrnambool, Victoria, Australia
| | - Catherine M Bennett
- Faculty of Health, Deakin Population Health Strategic Research Centre, Deakin University, Melbourne Burwood Campus, Burwood, Victoria, Australia
| | - Rob Carter
- Faculty of Health, Deakin Health Economics, Deakin University, Melbourne Burwood Campus, Burwood, Victoria, Australia
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Delahanty LM, Pan Q, Jablonski KA, Aroda VR, Watson KE, Bray GA, Kahn SE, Florez JC, Perreault L, Franks PW. Effects of weight loss, weight cycling, and weight loss maintenance on diabetes incidence and change in cardiometabolic traits in the Diabetes Prevention Program. Diabetes Care 2014; 37:2738-45. [PMID: 25024396 PMCID: PMC4170126 DOI: 10.2337/dc14-0018] [Citation(s) in RCA: 83] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE This study examined specific measures of weight loss in relation to incident diabetes and improvement in cardiometabolic risk factors. RESEARCH DESIGN AND METHODS This prospective, observational study analyzed nine weight measures, characterizing baseline weight, short- versus long-term weight loss, short- versus long-term weight regain, and weight cycling, within the Diabetes Prevention Program (DPP) lifestyle intervention arm (n = 1,000) for predictors of incident diabetes and improvement in cardiometabolic risk factors over 2 years. RESULTS Although weight loss in the first 6 months was protective of diabetes (hazard ratio [HR] 0.94 per kg, 95% CI 0.90, 0.98; P < 0.01) and cardiometabolic risk factors (P < 0.01), weight loss from 0 to 2 years was the strongest predictor of reduced diabetes incidence (HR 0.90 per kg, 95% CI 0.87, 0.93; P < 0.01) and cardiometabolic risk factor improvement (e.g., fasting glucose: β = -0.57 mg/dL per kg, 95% CI -0.66, -0.48; P < 0.01). Weight cycling (defined as number of 5-lb [2.25-kg] weight cycles) ranged 0-6 times per participant and was positively associated with incident diabetes (HR 1.33, 95% CI 1.12, 1.58; P < 0.01), fasting glucose (β = 0.91 mg/dL per cycle; P = 0.02), HOMA-IR (β = 0.25 units per cycle; P = 0.04), and systolic blood pressure (β = 0.94 mmHg per cycle; P = 0.01). After adjustment for baseline weight, the effect of weight cycling remained statistically significant for diabetes risk (HR 1.22, 95% CI 1.02, 1.47; P = 0.03) but not for cardiometabolic traits. CONCLUSIONS Two-year weight loss was the strongest predictor of reduced diabetes risk and improvements in cardiometabolic traits.
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Affiliation(s)
- Linda M Delahanty
- Diabetes Research Center, Massachusetts General Hospital, Boston, MA Department of Medicine, Harvard Medical School, Boston, MA
| | - Qing Pan
- The Biostatistics Center, George Washington University, Rockville, MD
| | | | - Vanita R Aroda
- MedStar Health Research Institute, Hyattsville, MD, and Georgetown University School of Medicine, Washington, DC
| | - Karol E Watson
- The David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA
| | - George A Bray
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA
| | - Steven E Kahn
- Veterans Affairs Puget Sound Health Care System and University of Washington, Seattle, WA
| | - Jose C Florez
- Diabetes Research Center, Massachusetts General Hospital, Boston, MA Department of Medicine, Harvard Medical School, Boston, MA Center for Human Genetic Research, Department of Medicine, Massachusetts General Hospital, Boston, MA Program in Medical and Population Genetics, Broad Institute, Cambridge, MA
| | - Leigh Perreault
- Department of Medicine, Division of Endocrinology, Metabolism and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Paul W Franks
- Department of Clinical Sciences, Lund University, Malmö, Sweden Department of Nutrition, Harvard School of Public Health, Boston, MA
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Prevention of Diabetes Through the Lifestyle Intervention: Lessons Learned from the Diabetes Prevention Program and Outcomes Study and its Translation to Practice. Curr Nutr Rep 2014; 3:364-378. [PMID: 25383256 DOI: 10.1007/s13668-014-0094-2] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
A number of strategies have been used to delay or prevent the development of type 2 diabetes mellitus (T2D) in high-risk adults. Among them were diet, exercise, medications and surgery. This report focuses on the nutritional lessons learned from implementation of the Intensive Lifestyle Intervention (ILI) in the DPP and its follow-up DPPOS that looked at weight loss through modification of diet and exercise. The Diabetes Prevention Program (DPP) is a large clinical trial, sponsored by the National Institutes of Health, designed to look at several strategies to prevent conversion to type 2 diabetes (T2D) by adults with prediabetes (IGT/IFG) including an Intensive Lifestyle Intervention (ILI). The ∼3800 ethnically diverse participants (46% reported non-white race) were overweight, had impaired glucose tolerance (IGT) and impaired fasting glucose (IFG). Treatments were assigned randomly. The Diabetes Prevention Program Outcomes Study (DPPOS) is a follow up study evaluating the long-term outcomes of the clinical trial.
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Birt L, Emery JD, Prevost AT, Sutton S, Walter FM. Psychological impact of family history risk assessment in primary care: a mixed methods study. Fam Pract 2014; 31:409-18. [PMID: 24728773 PMCID: PMC5926455 DOI: 10.1093/fampra/cmu012] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Routine family history risk assessment for chronic diseases could enable primary care practitioners to efficiently identify at-risk patients and promote preventive management strategies. OBJECTIVES To investigate patients' understanding and responses to family history risk assessment in primary care. METHOD A mixed methods study set in 10 Eastern England general practices. Participants in a family history questionnaire validation study were triaged into population or increased risk for four chronic diseases (type 2 diabetes, cardiovascular disease, breast cancer, colorectal cancer). Questionnaires completed immediately prior to the family history consultation (baseline) and 4 weeks later (follow-up) assessed the psychological impact, including State-Trait Anxiety Inventory scores. Semi-structured interviews explored the meaning participants gave to their personal familial disease risk. RESULTS Four hundred and fifty-three participants completed both baseline and follow-up questionnaires and 30 were interviewed. At follow-up, there was no increase in anxiety among either group, or differences between the groups [difference in mean change 0.02, 95% confidence interval -2.04, 2.08, P = 0.98]. There were no significant changes over time in self-rated health in either group. At follow-up, participants at increased risk (n = 153) were more likely to have recent changes to behaviour and they had stronger intentions to make changes to diet (P = 0.001), physical activity (P = 0.006) and to seek further information in the future than those at population risk (n = 300; P < 0.001). Using qualitative analysis, five themes were developed representing ways in which participants gave meaning to familial disease risk ('Being reassured', 'Controlling risk', 'Dealing with it later', 'Beyond my control', 'Disbelieving the risk'). The meanings they attributed to increased risk appeared to shape their intention to undertake behaviour change. CONCLUSION Routine assessment for familial risk of chronic diseases may be undertaken in primary care without causing anxiety or reducing self-rated health. Patient responses to family history risk assessment may inform promotion of preventive management strategies.
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Affiliation(s)
- Linda Birt
- The Primary Care Unit, Department of Public Health & Primary Care, University of Cambridge, Cambridge, CB2 0SR, UK,
| | - Jon D Emery
- The Primary Care Unit, Department of Public Health & Primary Care, University of Cambridge, Cambridge, CB2 0SR, UK, General Practice and Primary Care Academic Centre, University of Melbourne, Parkville VIC 3010, Australia, School of Primary Aboriginal and Rural Health Care, University of Western Australia, Crawley WA 6009, Australia
| | - A Toby Prevost
- The Primary Care Unit, Department of Public Health & Primary Care, University of Cambridge, Cambridge, CB2 0SR, UK, King's College London, Department of Primary Care and Public Health Sciences, Capital House, London, UK and
| | - Stephen Sutton
- Behavioural Science Group, Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, CB2 0SR
| | - Fiona M Walter
- The Primary Care Unit, Department of Public Health & Primary Care, University of Cambridge, Cambridge, CB2 0SR, UK, General Practice and Primary Care Academic Centre, University of Melbourne, Parkville VIC 3010, Australia, School of Primary Aboriginal and Rural Health Care, University of Western Australia, Crawley WA 6009, Australia
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