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Ogurtsova K, Laxy M, Emmert-Fees K, Dintsios CM, Zhang P, Icks A. National health and economic impact of a lifestyle program to prevent type 2 diabetes mellitus in Germany: a simulation study. BMJ Open Diabetes Res Care 2024; 12:e004382. [PMID: 39424351 PMCID: PMC11492960 DOI: 10.1136/bmjdrc-2024-004382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Accepted: 09/26/2024] [Indexed: 10/21/2024] Open
Abstract
INTRODUCTION To examine the long-term health and economic impact of a lifestyle diabetes prevention program in people with high risk of developing type 2 diabetes in Germany. RESEARCH DESIGN AND METHODS We assessed the lifetime cost-effectiveness of a 2-year pragmatic lifestyle program for preventing type 2 diabetes targeting German adults aged 35-54 and 55-74 years old with hemoglobin A1c (HbA1c) from 6.0% to 6.4%. We used the Centers for Disease Control and Prevention RTI Diabetes Cost-Effectiveness Model to run a simulation on the program effectiveness. We estimated incremental health benefits in quality-adjusted life years (QALYs) and costs using an established simulation model adapted to the German context, from a healthcare system and societal perspective. The cost-effectiveness of the program was measured by incremental cost-effectiveness ratios (ICERs) in cost per QALY. We projected the number of type 2 diabetes cases prevented by participation rate if the program was implemented nationwide. RESULTS The lifestyle program would result to more QALYs and higher costs. The lifetime ICERs were 14 690€ (35-54 years old) and 14 372€ (55-74 years old) from a healthcare system perspective and cost saving (ICER=-3805€) and cost-effective (ICER=4579€), respectively, from a societal perspective. A total of 10 527 diabetes cases would be prevented over lifetime if the program was offered to all eligible people nationwide and 25% of those would participate in the program. CONCLUSIONS Implementing the lifestyle intervention for people with HbA1c from 6.0% to 6.4% could be a cost-effective at standard willingness to pay level strategy for type 2 diabetes prevention. The intervention in the younger cohort could be cost saving from a societal perspective. The successful implementation of a lifestyle-based diabetes prevention program could be an important component of a successful National Diabetes Strategy in Germany.
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Affiliation(s)
- Katherine Ogurtsova
- German Center for Diabetes Research, Neuherberg, Germany
- Institute of Occupational, Social and Environmental Medicine, Heinrich-Heine-Universitat Dusseldorf, Dusseldorf, Germany
- Institute for Health Services Research and Health Economics, German Diabetes Center, Leibniz Center for Diabetes Research at the Heinrich-Heine-University Dusseldorf, Dusseldorf, Germany, Düsseldorf, Germany
| | - Michael Laxy
- German Center for Diabetes Research, Neuherberg, Germany
- Professorship of Public Health and Prevention, School of Medicine and Health, Technical University of Munich, Munchen, Germany
| | - Karl Emmert-Fees
- German Center for Diabetes Research, Neuherberg, Germany
- Professorship of Public Health and Prevention, School of Medicine and Health, Technical University of Munich, Munchen, Germany
| | - Charalabos-Markos Dintsios
- Institute for Health Services Research and Health Economics, Heinrich Heine University Düsseldorf, Dusseldorf, Germany
| | - Ping Zhang
- Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Andrea Icks
- German Center for Diabetes Research, Neuherberg, Germany
- Institute for Health Services Research and Health Economics, German Diabetes Center, Leibniz Center for Diabetes Research at the Heinrich-Heine-University Dusseldorf, Dusseldorf, Germany, Düsseldorf, Germany
- Institute of Health Economics and Health Care Management, Heinrich Heine University Düsseldorf, Dusseldorf, Germany
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Schmidt MI, Bracco PA, Nunes MA, Cherubini KA, Castilhos CD, Spagiari JZ, Galliano LM, Ladwig R, Del Vecchio FB, Del Vecchio AHM, Drehmer M, Forti AC, Façanha C, Zajdenverg L, de Almeida-Pititto B, Réa RR, Dualib PM, Duncan BB. Telephone lifestyle intervention to prevent diabetes in women with recent gestational diabetes mellitus attending the national health system: the LINDA-Brasil clinical trial. BMJ Open 2024; 14:e082572. [PMID: 39414286 PMCID: PMC11481157 DOI: 10.1136/bmjopen-2023-082572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 09/09/2024] [Indexed: 10/18/2024] Open
Abstract
OBJECTIVES To evaluate a postpartum telephone-based lifestyle intervention to prevent diabetes in high-risk women with recent gestational diabetes mellitus (GDM). DESIGN Multicentre parallel randomised clinical trial. SETTING Specialised antenatal clinics in the Brazilian National System. METHODS Lifestyle Intervention for Diabetes Prevention After Pregnancy compared (1:1) postpartum telephone support for lifestyle changes with conventional care in women with recent GDM at substantial risk for diabetes. Randomisation started on 28 March 2015 and ended on 13 March 2020, with the onset of the COVID-19 pandemic. We used Cox regression to estimate HRs for diabetes and analysis of covariance adjusted for follow-up time to assess weight change. OUTCOMES The primary outcome was incident diabetes ascertained with blinded measurements of oral glucose tolerance tests. The secondary outcome was a change in measured weight. RESULTS We enrolled 5323 women with GDM, 2735 (51%) being at high risk. After invitations, baseline assessment and exclusions, we assigned 466 women to intervention (231) or control (235) groups. Attendance was satisfactory (≥7/20 phone sessions) in 75%. Over an average follow-up of 29.7 (15.6) months, 142 (30.5%) women progressed to diabetes, 75 (32%) in the control and 67 (29%) in the intervention group. There was no reduction in the incidence of diabetes (HR=0.84; 0.60-1.19) and only a non-significant 0.97 kg less weight gain (p=0.09). Among the 305 women randomised more than 1 year before the COVID-19 pandemic, the intervention did not reduce the incidence of diabetes (HR=0.71; 0.48-1.04) despite a 2.09 kg (p=0.002) lesser weight gain. CONCLUSION The strategy to identify women with GDM at high risk proved valid, as women often gained weight and frequently developed diabetes. Over a 30-month follow-up, telephone support for lifestyle changes at postpartum did not reduce weight gain or diabetes incidence, although only 75% attended the minimum number of telephone sessions. The COVID-19 pandemic negatively impacted trial conduction. TRIAL REGISTRATION NUMBER NCT02327286.
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Affiliation(s)
- Maria Inês Schmidt
- Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Paula A Bracco
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Maria A Nunes
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Kadhija A Cherubini
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | | | - Jainara Z Spagiari
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Leony M Galliano
- Graduate Program in Physical Education, Universidade Federal do Rio Grande do Norte, Natal, Brazil
| | - Ruben Ladwig
- Pro-Rectory of Planning and Management—PROPLAN, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | | | | | - Michele Drehmer
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | | | - Cristina Façanha
- Integrated Center for Diabetes and Hypertension, Ceará State Health Department, Fortaleza, Brazil
- School of Medicine, Christus University Centre, Fortaleza, Brazil
| | - Lenita Zajdenverg
- Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
| | | | - Rosângela Roginski Réa
- Endocrinology and Metabolism Service, Hospital de Clínicas, Universidade Federal do Paraná, Curitiba, PR, Brazil
| | - Patrícia Medici Dualib
- Departament of Medicine, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, SP, Brazil
| | - Bruce B Duncan
- Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
- Postgraduate Program in Epidemiology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
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Green JB, Crowley MJ, Thirunavukkarasu S, Maruthur NM, Oldenburg B. The Final Frontier in Diabetes Care: Implementing Research in Real-World Practice. Diabetes Care 2024; 47:1299-1310. [PMID: 38907682 DOI: 10.2337/dci24-0001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Accepted: 04/25/2024] [Indexed: 06/24/2024]
Abstract
Despite extensive evidence related to the prevention and management of type 2 diabetes (T2D) and its complications, most people at risk for and people who have diabetes do not receive recommended guideline-based care. Clinical implementation of proven care strategies is of the utmost importance because without this, even the most impressive research findings will remain of purely academic interest. In this review, we discuss the promise and challenges of implementing effective approaches to diabetes prevention and care in the real-world setting. We describe successful implementation projects in three critical areas of diabetes care-diabetes prevention, glycemic control, and prevention of diabetes-related complications-which provide a basis for further clinical translation and an impetus to improve the prevention and control of T2D in the community. Advancing the clinical translation of evidence-based care must include recognition of and assessment of existing gaps in care, identification of barriers to the delivery of optimal care, and a locally appropriate plan to address and overcome these barriers. Care models that promote team-based approaches, rather than reliance on patient-provider interactions, will enhance the delivery of contemporary comprehensive diabetes care.
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Affiliation(s)
- Jennifer B Green
- Division of Endocrinology, Department of Medicine, and Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC
| | - Matthew J Crowley
- Division of Endocrinology, Department of Medicine, Duke University School of Medicine, Durham, NC
| | - Sathish Thirunavukkarasu
- Department of Family and Preventive Medicine, Emory School of Medicine, Atlanta, GA
- Emory Global Diabetes Research Center, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Nisa M Maruthur
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Brian Oldenburg
- Department of Public Health and Implementation Science, La Trobe University, and Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
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Tanriverdi O, Askin L. Association of high-sensitivity troponin T with left ventricular dysfunction in prediabetes. Acta Cardiol 2024; 79:699-704. [PMID: 38884420 DOI: 10.1080/00015385.2024.2365605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2024] [Revised: 05/12/2024] [Accepted: 06/02/2024] [Indexed: 06/18/2024]
Abstract
BACKGROUND Impaired glucose tolerance (IGT) and impaired fasting glucose (IFG) are an increasingly serious problem worldwide. Tissue Doppler imaging (TDI), a non-invasive technique, may evaluate both systolic and diastolic function during the first phases of cardiovascular disease (CVD). High-sensitivity cardiac troponin T (hs-cTnT) can detect subclinical myocardial injury in asymptomatic prediabetic patients. AIM We aimed to investigate the relationship between left ventricular (LV) function and hs-cTnT in prediabetic patients. METHODS Between 1 October 2021 and 1 October 2022, we recruited 96 prediabetic and an equal number of age- and gender-matched healthy volunteers prospectively. TDI was used to evaluate both systolic and diastolic functions. Hs-cTnT levels were obtained and compared between groups. RESULTS It was found that the values for mitral annular plane systolic excursion (MAPSE), E, the rapid filling wave, E/Em, and the peak annular velocities of systolic excursion in the ejection period (Sm) were all significantly higher in these patients compared to healthy individuals (p < .001). Hs-cTnT was an independent predictor of left ventricular diastolic dysfunction (LVDD) and left ventricular systolic dysfunction (LVSD) (odds ratio [OR] = 2.625, 95% confidence interval [CI] = 1.324-4.308, p < .001, and OR = 1.922, 95% CI = 0.454-3.206, p = .004). CONCLUSIONS Prediabetics had higher hs-cTnT levels than controls. We showed that LVSD and LVDD functions were negatively affected in prediabetic patients. Our results proved that hs-cTnT levels may be associated with subclinical LV dysfunction in prediabetes.
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Affiliation(s)
- Okan Tanriverdi
- Department of Cardiology, Siirt Education and Research Hospital, Siirt, Turkey
| | - Lutfu Askin
- Department of Cardiology, Gaziantep Islamıc Science and Technology University, Gaziantep, Turkey
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Bisak A, Stafström M. Unleashing the potential of Health Promotion in primary care-a scoping literature review. Health Promot Int 2024; 39:daae044. [PMID: 38795052 PMCID: PMC11127486 DOI: 10.1093/heapro/daae044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/27/2024] Open
Abstract
The purpose of this study is to gain a better understanding of the role and extent of health promotion lifestyle interventions targeting adults in primary care, and especially those who are considered overall healthy, i.e. to study the outcomes of research applying salutogenesis. We performed a literature review, with three specific aims. First, to identify studies that have targeted the healthy population in intervention within the primary health care field with health promotion activities. Second, to describe these interventions in terms of which health problems they have targeted and what the interventions have entailed. Third, to assess what these programs have resulted in, in terms of health outcomes. This scoping review of 42 studies, that applied salutogenesis in primary care interventions shows that health promotion targeting healthy individuals is relevant and effective. The PRISMA-ScR guidelines for reporting on scoping review were used. Most interventions were successful in reducing disease-related risks including CVD, CVD mortality, all-cause mortality, but even more importantly success in behavioural change, sustained at follow-up. Additionally, this review shows that health promotion lifestyle interventions can improve mental health, even when having different aims.
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Affiliation(s)
- Adela Bisak
- Faculty of Medicine, Lund University, Jan Waldenströms gata 35, 214 28 Malmö, Sweden
| | - Martin Stafström
- Division of Social Medicine and Global Health, Lund University, Jan Waldenströms gata 35, 214 28 Malmö, Sweden
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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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Haseldine C, O'Donoghue G, Kearney PM, Riordan F, Kerins C, Kirby L, Humphreys M, McHugh S. Factors influencing participation in an online national diabetes prevention programme: A qualitative study with attenders and educators. Diabet Med 2024; 41:e15277. [PMID: 38150286 DOI: 10.1111/dme.15277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 12/14/2023] [Accepted: 12/15/2023] [Indexed: 12/28/2023]
Abstract
AIM To explore factors affecting participation in the pilot of the synchronous online national diabetes prevention programme (NDPP) in Ireland from the perspectives of those who attended and the educators who recruited for and delivered the programme. METHODS A qualitative study involving semi-structured interviews and focus groups with NDPP attenders (attended the assessment and at least one session) and educators (dietitians) on the programme. The Framework Method using the Theoretical Domains Framework (TDF) guided the analysis. RESULTS Thirteen attenders took part in two online focus groups and five online or phone interviews. Eight educators took part. Four themes which cut across the TDF domains were identified as factors influencing participation; (i) lack of awareness of prediabetes and fear of diabetes, relating to attenders' fear of diabetes and lack of knowledge of prediabetes and diabetes prevention; (ii) perceived need for programme support to change health behaviour, concerning attenders' and educators' recognition of the need for the NDPP; (iii) trust in healthcare professionals (HCPs), relating to trust in HCPs to convey the seriousness of prediabetes and the value of diabetes prevention programmes (DPPs) and (iv) practical and personal ease of joining online, relating to the flexibility and accessibility of the synchronous online group format, the IT skills of attenders and educators and apprehension about group education. CONCLUSIONS Raising awareness of prediabetes and the need for prevention programmes should be a priority for health services and HCPs. The synchronous online group format was seen as less daunting to join than a face-to-face programme and may be a useful option to encourage participation.
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Affiliation(s)
- Clair Haseldine
- University College Cork, School of Public Health, Cork, Ireland
| | - Grainne O'Donoghue
- University College Dublin, School of Public Health, Physiotherapy and Sports Science, Dublin, Ireland
| | | | - Fiona Riordan
- University College Cork, School of Public Health, Cork, Ireland
| | - Claire Kerins
- University College Cork, School of Public Health, Cork, Ireland
| | - Liz Kirby
- Health Service Executive, Diabetes Prevention Programme, Cork, Ireland
| | | | - Sheena McHugh
- University College Cork, School of Public Health, Cork, Ireland
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MacPherson MM, Johnston C, Cranston KD, Der S, Sim JAP, Jung ME. Identification of Intervention Characteristics Within Diabetes Prevention Programs Using the Template for Intervention Description and Replication: A Scoping Review. Can J Diabetes 2024; 48:273-280. [PMID: 38417737 DOI: 10.1016/j.jcjd.2024.02.004] [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: 05/18/2023] [Revised: 01/19/2024] [Accepted: 02/21/2024] [Indexed: 03/01/2024]
Abstract
OBJECTIVES Diabetes prevention programs (DPPs) targeting dietary and physical activity behaviour change have been shown to decrease the incidence of type 2 diabetes; however, a more thorough reporting of intervention characteristics is needed to expedite the translation of such programs into different communities. In this scoping review, we aim to synthesize how DPPs are being reported and implemented. METHODS A scoping review using Arkey and O'Malley methods was conducted in accordance with the guidelines of Preferred Reporting Items for Systematic Reviews and Meta-Analysis. MEDLINE, CINAHL, PsycINFO, EMBASE, and SPORTDiscus were searched for studies relating to diabetes prevention and diet/exercise interventions. Only studies delivering a diet/exercise intervention for adults identified as "at risk" for developing type 2 diabetes were included. The Template for Intervention Description and Replication (TIDieR) was used to guide data extraction, and each DPP was scored on a scale from 0 to 2 for how thoroughly it reported each of the items (0 = did not report, 2 = reported in full; total score out of 26). RESULTS Of the 25,110 publications screened, 351 (based on 220 programs) met the inclusion criteria and were included for data extraction. No studies comprehensively reported on all TIDieR domains (mean TIDieR score: 15.7 of 26; range 7 to 25). Reporting was particularly poor among domains related to "modifications," "tailoring," and "how well (planned/actual)." "How well (planned)" assesses the intended delivery of an intervention, detailing the initial strategies and components as per the original design, whereas "how well (actual)" evaluates the extent to which the intervention was executed as planned during the study, including any deviations or modifications made in practice. CONCLUSIONS Although there is evidence to suggest that DPPs are efficacious, a more thorough reporting of program content and delivery is needed to improve the ability for effective programs to be implemented or translated into different communities.
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Affiliation(s)
- Megan M MacPherson
- School of Health and Exercise Sciences, University of British Columbia, Kelowna, British Columbia, Canada
| | - Cara Johnston
- School of Health and Exercise Sciences, University of British Columbia, Kelowna, British Columbia, Canada
| | - Kaela D Cranston
- School of Health and Exercise Sciences, University of British Columbia, Kelowna, British Columbia, Canada
| | - Sarah Der
- School of Health and Exercise Sciences, University of British Columbia, Kelowna, British Columbia, Canada
| | - Jenna A P Sim
- School of Health and Exercise Sciences, University of British Columbia, Kelowna, British Columbia, Canada
| | - Mary E Jung
- School of Health and Exercise Sciences, University of British Columbia, Kelowna, British Columbia, Canada.
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Chakkalakal RJ, Galaviz KI, Thirunavukkarasu S, Shah MK, Narayan KMV. Test and Treat for Prediabetes: A Review of the Health Effects of Prediabetes and the Role of Screening and Prevention. Annu Rev Public Health 2024; 45:151-167. [PMID: 38109519 DOI: 10.1146/annurev-publhealth-060222-023417] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2023]
Abstract
The term prediabetes describes blood glucose levels above the normal range but below the threshold to diagnose type 2 diabetes. Several population health initiatives encourage a test and treat approach for prediabetes. In this approach, screening and identification of individuals with prediabetes should be followed by prompt referral to structured lifestyle modification programs or pharmacologic interventions that have been shown to prevent or delay the progression to type 2 diabetes in clinical trials. Here we provide a critical review of evidence for this test and treat approach by examining health outcomes associated with prediabetes and the availability and effectiveness of lifestyle modification approaches that target prediabetes. We also describe current limitations to the reach and uptake of evidence-based treatment options for prediabetes. Finally, we highlight lessons learned from identifying and labeling other preconditions to consider challenges and opportunities that may arise with increasing awareness of prediabetes as part of routine preventive care.
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Affiliation(s)
- Rosette J Chakkalakal
- Department of Medicine, Emory University School of Medicine, Emory University, Atlanta, Georgia, USA;
- Department of Family and Preventive Medicine, Emory University School of Medicine, Emory University, Atlanta, Georgia, USA
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, Georgia, USA
| | - Karla I Galaviz
- Indiana University School of Public Health-Bloomington, Indiana University, Bloomington, Indiana, USA
| | - Sathish Thirunavukkarasu
- Department of Family and Preventive Medicine, Emory University School of Medicine, Emory University, Atlanta, Georgia, USA
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, Georgia, USA
| | - Megha K Shah
- Department of Family and Preventive Medicine, Emory University School of Medicine, Emory University, Atlanta, Georgia, USA
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, Georgia, USA
| | - K M Venkat Narayan
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, Georgia, USA
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
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Haseldine C, O'Donoghue G, Kearney PM, Riordan F, Cotterill S, McHugh S. Healthcare workers' perspectives on barriers and facilitators to referral and recruitment to diabetes prevention programmes: a systematic review protocol. HRB Open Res 2024; 6:23. [PMID: 38601792 PMCID: PMC11004599 DOI: 10.12688/hrbopenres.13702.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/26/2024] [Indexed: 04/12/2024] Open
Abstract
Background Diabetes is a growing global health problem. International guidelines recommend identification, screening, and referral to behavioural programmes for those at high risk of developing type 2 diabetes. Diabetes prevention programmes (DPPs) can prevent type 2 diabetes in those at high risk, however many eligible participants are not referred to these programmes. Healthcare workers (HCWs) are pivotal to the referral and recruitment processes. This study aims to identify, appraise and synthesise the evidence on barriers and facilitators to referral and recruitment to DPPs from the perspective of HCWs. Methods A "best fit" framework synthesis method will synthesise qualitative, quantitative, and mixed methods evidence on factors that affect HCWs referral and recruitment to DPPs, with the Theoretical Domains Framework (TDF) as the a priori framework. MEDLINE, EMBASE, CINAHL, PsychINFO, Web of Science and Scopus will be searched for primary studies published in English. Year of publication will be restricted to the last 26 years (1997-2023). Quality will be assessed using the Mixed Methods Appraisal Tool. A mix of deductive coding using the TDF and inductive coding of data that does not fit the TDF will be synthesised into themes representing the whole dataset. The relationships between the final set of themes will be explored to create a new model to understand HCWs' perspectives on referral and recruitment to DPPs. Sensitivity analysis will be carried out on this conceptual model. Confidence in the synthesised findings will be assessed using the GRADE-CERQual approach. One author will screen, extract, appraise the literature while a second author will independently verify a 20% sample at each stage. Discussion Participation in DPPs is key for programme impact. HCWs typically identify those at risk and refer them to DPPs. Understanding HCWs' perspectives on the barriers and facilitators to referral and recruitment will inform future implementation of DPPs.
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Affiliation(s)
- Clair Haseldine
- School of Public Health, University College Cork, Cork, Ireland
| | - Gráinne O'Donoghue
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - Patricia M Kearney
- School of Public Health, University College Cork, Cork, Ireland
- Health Service Executive, Cork, Ireland
| | - Fiona Riordan
- School of Public Health, University College Cork, Cork, Ireland
| | - Sarah Cotterill
- School of Health Sciences, University of Manchester, Manchester, UK
| | - Sheena McHugh
- School of Public Health, University College Cork, Cork, Ireland
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An X, Zhang Y, Sun W, Kang X, Ji H, Sun Y, Jiang L, Zhao X, Gao Q, Lian F, Tong X. Early effective intervention can significantly reduce all-cause mortality in prediabetic patients: a systematic review and meta-analysis based on high-quality clinical studies. Front Endocrinol (Lausanne) 2024; 15:1294819. [PMID: 38495794 PMCID: PMC10941028 DOI: 10.3389/fendo.2024.1294819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 02/19/2024] [Indexed: 03/19/2024] Open
Abstract
Background Reducing the occurrence of diabetes is considered a primary criterion for evaluating the effectiveness of interventions for prediabetes. There is existing evidence that early lifestyle-based interventions can significantly decrease the incidence of diabetes. However, whether effective interventions can reduce long-term outcomes in patients, including all-cause mortality, cardiovascular risks, and the occurrence of microvascular complications, which are the most concerning issues for both patients and clinicians, remains a subject of inconsistent research findings. And there is no direct evidence to answer whether effective intervention has long-term benefits for prediabetic patients. Therefore, we conducted a systematic review and meta-analysis to assess the relationship between early effective intervention and macrovascular and microvascular complications in prediabetic patients. Methods PubMed, Embase, and Cochrane Central Register of Controlled Trials were searched for the randomized controlled trials of lifestyle or/and drugs intervention in prediabetes from inception to 2023.9.15. Two investigators independently reviewed the included studies and extracted relevant data. Random or fixed effects model meta-analysis to derive overall relative risk (RR) with 95% CI for all-cause mortality, cardiovascular events, and microvascular complications. Results As of September 15, 2023, a total of 7 effective intervention studies were included, comprising 26 articles out of 25,671 articles. These studies involved 26,389 patients with a total follow-up duration of 178,038.6 person-years. The results indicate that effective intervention can significantly reduce all-cause mortality in prediabetic patients without a history of cardiovascular disease by 17% (RR 0.83, 95% CI 0.70-0.98). Additionally, effective intervention reduced the incidence of retinopathy by 38% (RR 0.62, 95% CI 0.70-0.98). Furthermore, the study results suggest that women and younger individuals have lower all-cause mortality and cardiovascular mortality. Subsequently, we conducted an in-depth analysis of patients without a history of cardiovascular disease. The results revealed that prediabetic patients with a 10-year cardiovascular risk >10% experienced more significant benefits in terms of all-cause mortality (P=0.01). When comparing the results of all-cause mortality and cardiovascular mortality from the Da Qing Diabetes Prevention Outcome Study longitudinally, it was evident that the duration of follow-up is a key factor influencing long-term benefits. In other words, the beneficial effects become more pronounced as the intervention duration reaches a certain threshold. Conclusion Early effective intervention, which significantly reduces the incidence of diabetes, can effectively lower all-cause mortality in prediabetic patients without a history of cardiovascular disease (especially those with a 10-year cardiovascular risk >10%), with women and younger individuals benefiting more significantly. Additionally, the duration of follow-up is a key factor influencing outcomes. The conclusions of this study can provide evidence-based guidance for the clinical treatment of prediabetic patients to prevent cardiovascular and microvascular complications. Systematic review registration https://www.crd.york.ac.uk/prospero, identifier CRD42020160985.
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Affiliation(s)
- Xuedong An
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yuehong Zhang
- Fangshan Hospital of Beijing University of Chinese Medicine, Beijing, China
| | - Wenjie Sun
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Xiaomin Kang
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Hangyu Ji
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yuting Sun
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Linlin Jiang
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Xuefei Zhao
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Qing Gao
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Fengmei Lian
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Xiaolin Tong
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
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12
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Skurk T, Grünerbel A, Hummel S, Kabisch S, Keuthage W, Müssig K, Nussbaumer H, Rubin D, Simon MC, Tombek A, Weber KS. Nutritional Recommendations for the Prevention of Type 2 Diabetes Mellitus. Exp Clin Endocrinol Diabetes 2024; 132:68-82. [PMID: 38232741 DOI: 10.1055/a-2166-6943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Affiliation(s)
- Thomas Skurk
- ZIEL - Institute for Food & Health, Core Facility Human Studies, Technical University Munich, Freising, Germany
| | | | - Sandra Hummel
- Helmholtz Diabetes Centre Institute of Diabetes Research Munich, Research Centre for Health and Environment (GmbH), Munich-Neuherberg, Germany
| | - Stefan Kabisch
- German Institute of Human Nutrition Potsdam-Rehbrücke, Potsdam, Germany
| | - Winfried Keuthage
- Specialist Practice for Diabetes and Nutritional Medicine, Münster, Germany
| | - Karsten Müssig
- Department of Internal Medicine, Gastroenterology and Diabetology, Niels Stensen Hospitals, Franziskus Hospital Harderberg, Georgsmarienhütte, Germany
| | | | - Diana Rubin
- Vivantes Hospital Spandau, Berlin, Germany
- Vivantes Humboldt Hospital, Berlin, Germany
| | - Marie-Christine Simon
- Institute of Nutrition and Food Sciences, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
| | - Astrid Tombek
- Diabetes Centre Bad Mergentheim, Bad Mergentheim, Germany
| | - Katharina S Weber
- Institute for Epidemiology, Christian-Albrechts University of Kiel, Kiel, Germany
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13
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Park C, Larsen B, Kwon SC, Xia Y, LaNoue M, Dickson VV, Reynolds HR, Spruill TM. Reallocating time between device-measured 24-hour activities and cardiovascular risk in Asian American immigrant women: An isotemporal substitution model. PLoS One 2024; 19:e0297042. [PMID: 38198483 PMCID: PMC10781047 DOI: 10.1371/journal.pone.0297042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 12/27/2023] [Indexed: 01/12/2024] Open
Abstract
The 24-hour day consists of physical activity (PA), sedentary behavior, and sleep, and changing the time spent on one activity affects the others. Little is known about the impact of such changes on cardiovascular risk, particularly in Asian American immigrant (AAI) women, who not only have a higher cardiovascular risk but also place greater cultural value on family and domestic responsibilities compared to other racial/ethnic groups. The purpose of this study was to evaluate the effects of reallocating 30 minutes of each 24-hour activity component for another on BMI, waist circumference, and blood pressure in AAI women. Seventy-five AAI women completed 7 days of hip and wrist actigraphy monitoring and were included in the analysis (age = 61.5±8.0 years, BMI = 25.5±3.6 kg/m2, waist circumference = 85.9±10.2 cm). Sleep was identified from wrist actigraphy data, and moderate-to-vigorous PA (MVPA), light PA, and sedentary behavior identified from hip actigraphy data. On average, the women spent 0.5 hours in MVPA, 6.2 hours in light PA, 10 hours in sedentary activities, and 5.3 hours sleeping within a 24-hour day. According to the isotemporal substitution models, replacing 30 minutes of sedentary behavior with MVPA reduced BMI by 1.4 kg/m2 and waist circumference by 4.0 cm. Replacing that same sedentary time with sleep reduced BMI by 0.5 kg/m2 and waist circumference by 1.4 cm. Replacing 30 minutes of light PA with MVPA decreased BMI by 1.6 kg/m2 and waist circumference by 4.3 cm. Replacing 30 minutes of light PA with sleep also reduced BMI by 0.8 kg/m2 and waist circumference by 1.7 cm. However, none of the behavioral substitutions affected blood pressure. Considering AAI women's short sleep duration, replacing their sedentary time with sleep might be a feasible strategy to reduce their BMI and waist circumference.
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Affiliation(s)
- Chorong Park
- School of Nursing, Vanderbilt University, Nashville, Tennessee, United States of America
- Sarah Ross Soter Center for Women's Cardiovascular Research, New York University Grossman School of Medicine, New York, New York, United States of America
| | - Britta Larsen
- Department of Family Medicine and Public Health, School of Medicine, University of California, San Diego, La Jolla, California, United States of America
| | - Simona C Kwon
- Department of Population Health, New York University Grossman School of Medicine, New York, New York, United States of America
| | - Yuhe Xia
- Department of Population Health, New York University Grossman School of Medicine, New York, New York, United States of America
| | - Marianna LaNoue
- School of Nursing, Vanderbilt University, Nashville, Tennessee, United States of America
| | - Victoria V Dickson
- New York University Rory Meyers School of Nursing, New York, New York, United States of America
- School of Nursing, University of Connecticut, Storrs, Connecticut, United States of America
| | - Harmony R Reynolds
- Sarah Ross Soter Center for Women's Cardiovascular Research, New York University Grossman School of Medicine, New York, New York, United States of America
| | - Tanya M Spruill
- Sarah Ross Soter Center for Women's Cardiovascular Research, New York University Grossman School of Medicine, New York, New York, United States of America
- Department of Family Medicine and Public Health, School of Medicine, University of California, San Diego, La Jolla, California, United States of America
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Wang L, Wang H, Luo Y, Wu W, Gui Y, Zhao J, Xiong R, Li X, Yuan D, Yuan C. Role of LncRNA MIAT in Diabetic Complications. Curr Med Chem 2024; 31:1716-1725. [PMID: 37711129 DOI: 10.2174/0929867331666230914091944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Revised: 06/21/2023] [Accepted: 07/25/2023] [Indexed: 09/16/2023]
Abstract
Long non-coding RNA (LncRNA) refers to a large class of RNAs with over 200 nucleotides that do not have the function of encoding proteins. In recent years, more and more literature has revealed that lncRNA is involved in manipulating genes related to human health and disease, playing outstanding biological functions, which has attracted widespread attention from researchers. The newly discovered long-stranded non-coding RNA myocardial infarction-related transcript (LncRNA MIAT) is abnormally expressed in a variety of diseases, especially in diabetic complications, and has been proven to have a wide range of effects. This review article aimed to summarize the importance of LncRNA MIAT in diabetic complications, such as diabetic cardiomyopathy, diabetic nephropathy, and diabetic retinopathy, and highlight the latest findings on the pathway and mechanism of its participation in regulating diabetic complications, which may aid in finding new intervention targets for the treatment of diabetic complications. LncRNA MIAT competitively binds microRNAs to regulate gene expression as competitive endogenous RNAs. Thus, this review article has reviewed the biological function and pathogenesis of LncRNA MIAT in diabetic complications and described its role in diabetic complications. This paper will help in finding new therapeutic targets and intervention strategies for diabetes complications.
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Affiliation(s)
- Lijun Wang
- Third-grade Pharmacological Laboratory on Traditional Chinese Medicine, State Administration of Traditional Chinese Medicine, China Three Gorges University, Yichang, 443002, China
- College of Basic Medical Science, China Three Gorges University, Yichang, 443002, China
| | - Hailin Wang
- Third-grade Pharmacological Laboratory on Traditional Chinese Medicine, State Administration of Traditional Chinese Medicine, China Three Gorges University, Yichang, 443002, China
- College of Medicine and Health Science, China Three Gorges University, Yichang, 443002, China
| | - Yiyang Luo
- Third-grade Pharmacological Laboratory on Traditional Chinese Medicine, State Administration of Traditional Chinese Medicine, China Three Gorges University, Yichang, 443002, China
- College of Medicine and Health Science, China Three Gorges University, Yichang, 443002, China
| | - Wei Wu
- Third-grade Pharmacological Laboratory on Traditional Chinese Medicine, State Administration of Traditional Chinese Medicine, China Three Gorges University, Yichang, 443002, China
- College of Medicine and Health Science, China Three Gorges University, Yichang, 443002, China
| | - Yibei Gui
- Third-grade Pharmacological Laboratory on Traditional Chinese Medicine, State Administration of Traditional Chinese Medicine, China Three Gorges University, Yichang, 443002, China
- College of Basic Medical Science, China Three Gorges University, Yichang, 443002, China
| | - Jiale Zhao
- Third-grade Pharmacological Laboratory on Traditional Chinese Medicine, State Administration of Traditional Chinese Medicine, China Three Gorges University, Yichang, 443002, China
- College of Medicine and Health Science, China Three Gorges University, Yichang, 443002, China
| | - Ruisi Xiong
- Third-grade Pharmacological Laboratory on Traditional Chinese Medicine, State Administration of Traditional Chinese Medicine, China Three Gorges University, Yichang, 443002, China
- College of Basic Medical Science, China Three Gorges University, Yichang, 443002, China
| | - Xueqin Li
- Third-grade Pharmacological Laboratory on Traditional Chinese Medicine, State Administration of Traditional Chinese Medicine, China Three Gorges University, Yichang, 443002, China
- College of Medicine and Health Science, China Three Gorges University, Yichang, 443002, China
| | - Ding Yuan
- College of Medicine and Health Science, China Three Gorges University, Yichang, 443002, China
| | - Chengfu Yuan
- Third-grade Pharmacological Laboratory on Traditional Chinese Medicine, State Administration of Traditional Chinese Medicine, China Three Gorges University, Yichang, 443002, China
- College of Basic Medical Science, China Three Gorges University, Yichang, 443002, China
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15
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Marsden AM, Hann M, Barron E, McGough B, Murray E, Valabhji J, Cotterill S. The effectiveness of digital delivery versus group-based face-to-face delivery of the English National Health Service Type 2 Diabetes Prevention Programme: a non-inferiority retrospective cohort comparison study. BMC Health Serv Res 2023; 23:1434. [PMID: 38110926 PMCID: PMC10729322 DOI: 10.1186/s12913-023-10365-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 11/22/2023] [Indexed: 12/20/2023] Open
Abstract
BACKGROUND Face-to-face group-based diabetes prevention programmes have been shown to be effective in many settings. Digital delivery may suit some patients, but research comparing the effectiveness of digital with face-to-face delivery is scarce. The aim was to assess if digital delivery of the English National Health Service Diabetes Prevention Programme (NHS DPP) is non-inferior to group-based face-to-face delivery in terms of weight change, and evaluate factors associated with differential change. METHODS The study included those recruited to the NHS DPP in 2017-2018. Individual-level data from a face-to-face cohort was compared to two cohorts on a digital pilot who (i) were offered no choice of delivery mode, or (ii) chose digital over face-to-face. Changes in weight at 6 and 12 months were analysed using mixed effects linear regression, having matched participants from the digital pilot to similar participants from face-to-face. RESULTS Weight change on the digital pilot was non-inferior to face-to-face at both time points: it was similar in the comparison of those with no choice (difference in weight change: -0.284 kg [95% CI: -0.712, 0.144] at 6 months) and greater in digital when participants were offered a choice (-1.165 kg [95% CI: -1.841, -0.489]). Interactions between delivery mode and sex, ethnicity, age and deprivation were observed. CONCLUSIONS Digital delivery of the NHS DPP achieved weight loss at least as good as face-to-face. Patients who were offered a choice and opted for digital experienced better weight loss, compared to patients offered face-to-face only.
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Affiliation(s)
- Antonia M Marsden
- Centre for Biostatistics, School of Health Sciences, University of Manchester, Oxford Road, Manchester, M13 9PL, UK.
| | - Mark Hann
- Centre for Primary Care and Health Services Research, School of Health Sciences, University of Manchester, Manchester, UK
| | | | | | - Elizabeth Murray
- Institute of Epidemiology & Health Care, University College London, London, UK
| | - Jonathan Valabhji
- NHS England, London, UK
- Imperial College Healthcare NHS Trust, London, UK
- Imperial College London, London, UK
| | - Sarah Cotterill
- Centre for Biostatistics, School of Health Sciences, University of Manchester, Oxford Road, Manchester, M13 9PL, UK
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16
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Lemp JM, Bommer C, Xie M, Michalik F, Jani A, Davies JI, Bärnighausen T, Vollmer S, Geldsetzer P. Quasi-experimental evaluation of a nationwide diabetes prevention programme. Nature 2023; 624:138-144. [PMID: 37968391 DOI: 10.1038/s41586-023-06756-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Accepted: 10/17/2023] [Indexed: 11/17/2023]
Abstract
Diabetes is a leading cause of morbidity, mortality and cost of illness1,2. Health behaviours, particularly those related to nutrition and physical activity, play a key role in the development of type 2 diabetes mellitus3. Whereas behaviour change programmes (also known as lifestyle interventions or similar) have been found efficacious in controlled clinical trials4,5, there remains controversy about whether targeting health behaviours at the individual level is an effective preventive strategy for type 2 diabetes mellitus6 and doubt among clinicians that lifestyle advice and counselling provided in the routine health system can achieve improvements in health7-9. Here we show that being referred to the largest behaviour change programme for prediabetes globally (the English Diabetes Prevention Programme) is effective in improving key cardiovascular risk factors, including glycated haemoglobin (HbA1c), excess body weight and serum lipid levels. We do so by using a regression discontinuity design10, which uses the eligibility threshold in HbA1c for referral to the behaviour change programme, in electronic health data from about one-fifth of all primary care practices in England. We confirm our main finding, the improvement of HbA1c, using two other quasi-experimental approaches: difference-in-differences analysis exploiting the phased roll-out of the programme and instrumental variable estimation exploiting regional variation in programme coverage. This analysis provides causal, rather than associational, evidence that lifestyle advice and counselling implemented at scale in a national health system can achieve important health improvements.
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Affiliation(s)
- Julia M Lemp
- Heidelberg Institute of Global Health, Heidelberg University Hospital, Heidelberg, Germany
- Division of Primary Care and Population Health, Department of Medicine, Stanford University, Stanford, CA, USA
| | - Christian Bommer
- Heidelberg Institute of Global Health, Heidelberg University Hospital, Heidelberg, Germany
- Department of Economics and Centre for Modern Indian Studies, University of Goettingen, Göttingen, Germany
| | - Min Xie
- Heidelberg Institute of Global Health, Heidelberg University Hospital, Heidelberg, Germany
- Division of Primary Care and Population Health, Department of Medicine, Stanford University, Stanford, CA, USA
| | - Felix Michalik
- Heidelberg Institute of Global Health, Heidelberg University Hospital, Heidelberg, Germany
- Division of Primary Care and Population Health, Department of Medicine, Stanford University, Stanford, CA, USA
| | - Anant Jani
- Heidelberg Institute of Global Health, Heidelberg University Hospital, Heidelberg, Germany
- University of Oxford, Oxford, UK
| | - Justine I Davies
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
- Centre for Global Surgery, Department of Global Health, Stellenbosch University, Cape Town, South Africa
- Medical Research Council/Wits University Rural Public Health and Health Transitions Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Till Bärnighausen
- Heidelberg Institute of Global Health, Heidelberg University Hospital, Heidelberg, Germany
- Africa Health Research Institute, Somkhele, South Africa
- Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Sebastian Vollmer
- Department of Economics and Centre for Modern Indian Studies, University of Goettingen, Göttingen, Germany
| | - Pascal Geldsetzer
- Division of Primary Care and Population Health, Department of Medicine, Stanford University, Stanford, CA, USA.
- Department of Epidemiology and Population Health, Stanford University, Stanford, CA, USA.
- Chan Zuckerberg Biohub-San Francisco, San Francisco, CA, USA.
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17
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Poupakis S, Kolotourou M, MacMillan HJ, Chadwick PM. Attendance, Weight Loss, and Participation in a Behavioural Diabetes Prevention Programme. Int J Behav Med 2023; 30:904-913. [PMID: 36631702 PMCID: PMC10713771 DOI: 10.1007/s12529-022-10146-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/13/2022] [Indexed: 01/13/2023]
Abstract
BACKGROUND Weight loss in diabetes prevention programmes has been shown to be associated with participants' age, socio-economic status, and ethnicity. However, little is known about how these differences relate to attendance and whether such differences can be mediated by other potentially modifiable factors. Differential effectiveness across these factors may exacerbate health inequalities. METHOD Prospective analysis of participant data collected by one provider of the standardised national NHS diabetes prevention programme in England. Mediation analysis was performed via a structural equation model to examine whether the number of attended sessions mediated the associations of age, socio-economic status, and ethnicity with follow-up weight. The group-level factor of number of attended sessions was examined using multiple linear regression as a benchmark; multilevel linear regression using three levels (venue, coach, and group); and fixed effects regression to account for venue-specific and coach-specific characteristics. RESULTS The associations of age, socio-economic status, and ethnicity with follow-up weight were all mediated by the number of attended sessions. Group size was associated with attendance in an inverted 'U' shape, and the number of days between referral and group start was negatively associated with attendance. Time of day, day of the week, and the number of past groups led by the coach were not associated with attendance. CONCLUSION Most of the differences in weight loss initially attributed to socio-demographic factors are mediated by the attendance of the diabetes prevention programme. Therefore, targeted efforts to improve uptake and adherence to such programmes may help alleviate inequalities.
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Affiliation(s)
- Stavros Poupakis
- Institute for Global Health, University College London, 30 Guilford Street, London, WC1N 1EH, UK.
| | | | | | - Paul M Chadwick
- Centre for Behaviour Change, University College London, London, UK
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18
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Shakya P, Shrestha A, Bajracharya M, Shrestha A, Kulseng BE, Karmacharya BM, Shrestha S, Das S, Shrestha IB, Barun K, Shrestha N, Skovlund E, Sen A. Effectiveness of a group-based Diabetes Prevention Education Program (DiPEP) in a population with pre-diabetes: a cluster randomised controlled trial in Nepal. BMJ Nutr Prev Health 2023; 6:253-263. [PMID: 38264365 PMCID: PMC10800278 DOI: 10.1136/bmjnph-2023-000702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 10/20/2023] [Indexed: 01/25/2024] Open
Abstract
Background Although several lifestyle intervention studies have been conducted in low/middle-income countries, there were no such studies in Nepal. Therefore, a group-based culturally tailored Diabetes Prevention Education Program (DiPEP) was conducted recently. The study aimed to evaluate the effect of DiPEP in glycated haemoglobin (HbA1c), weight, waist circumference, physical activity and diet among population with pre-diabetes. Method A two-arm cluster randomised controlled trial was conducted in 12 clusters of two urban areas in Nepal. The DiPEP was a 6 month intervention (four 1-hour weekly educational sessions and 5 months of follow-up by community health workers/volunteers (CHW/Vs)). A postintervention assessment was done after 6 months. Linear mixed model was used to estimate the mean difference in primary outcome (HbA1c) and secondary outcomes (weight, waist circumference, physical activity and diet) between intervention and control arms, adjusted for baseline measure. Results In intention-to-treat analysis with a total of 291 participants, the estimated mean difference in HbA1c was found to be 0.015 percentage point (95% CI -0.074 to 0.104) between the intervention arm and the control arm, while it was -0.077 (95% CI -0.152 to -0.002) among those who attended at least 3 out of 4 educational sessions. The estimated mean difference in weight (in participants who attended ≥1 educational session) was -1.6 kg (95% CI -3.1 to -0.1). A significantly lower grain consumption was found in intervention arm (-39 g/day, 95% CI -65 to -14) compared with the control arm at postintervention assessment. Conclusion Although compliance was affected by COVID-19, individuals who participated in ≥3 educational sessions had significant reduction in HbA1c and those who attended ≥1 educational session had significant weight reduction. Grain intake was significantly reduced among the intervention arm than the control arm. Hence, group-based lifestyle intervention programmes involving CHW/vs is recommended for diabetes prevention. Trial registration number NCT04074148.
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Affiliation(s)
- Pushpanjali Shakya
- Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
| | - Archana Shrestha
- Department of Public Health and Community Programs, Kathmandu University School of Medical Sciences, Dhulikhel, Nepal
- Institute for Implementation Science and Health, Kathmandu, Bagmati Province, Nepal
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut, USA
| | - Monish Bajracharya
- Department of Business and IT, University of South-Eastern Norway, Bo, Norway
| | - Abha Shrestha
- Department of Community Medicine, Kathmandu University School of Medical Sciences, Dhulikhel, Bagmati Province, Nepal
| | - Bård Erik Kulseng
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Biraj Man Karmacharya
- Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Public Health and Community Programs, Kathmandu University School of Medical Sciences, Dhulikhel, Nepal
| | - Smriti Shrestha
- Research and Development Division/Department of Community Programs, Dhulikhel Hospital, Dhulikhel, Bagmati Province, Nepal
- ECA College of Health Sciences, Sydney, New South Wales, Australia
| | - Seema Das
- Research and Development Division/Department of Community Programs, Dhulikhel Hospital, Dhulikhel, Bagmati Province, Nepal
- Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia, USA
| | - Ishwori Byanju Shrestha
- Research and Development Division/Department of Community Programs, Dhulikhel Hospital, Dhulikhel, Bagmati Province, Nepal
| | - Krishnaa Barun
- Research and Development Division/Department of Community Programs, Dhulikhel Hospital, Dhulikhel, Bagmati Province, Nepal
- Department of Public Health, Nobel College, Pokhara University, Kathmandu, Bagmati Province, Nepal
| | - Nistha Shrestha
- Department of Physiotherapy, Kathmandu University School of Medical Sciences, Dhulikhel, Bagmati Province, Nepal
- Epidemiology and Disease Control Division, Department of Health Services, Government of Nepal Ministry of Health and Population, Kathmandu, Bagmati Province, Nepal
| | - Eva Skovlund
- Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
| | - Abhijit Sen
- Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway
- Centre for Oral Health Services and Research (TkMidt), Trondheim, Norway
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Lunde P, Skoglund G, Olsen CF, Hilde G, Bong WK, Nilsson BB. Think Aloud Testing of a Smartphone App for Lifestyle Change Among Persons at Risk of Type 2 Diabetes: Usability Study. JMIR Hum Factors 2023; 10:e48950. [PMID: 37966894 PMCID: PMC10687681 DOI: 10.2196/48950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 08/23/2023] [Accepted: 10/05/2023] [Indexed: 11/16/2023] Open
Abstract
BACKGROUND Type 2 diabetes mellitus (DM2) is a leading cause of morbidity and mortality worldwide and is considered a global epidemic. Despite the growing evidence on the effectiveness of mobile health interventions in the management of DM2, the evidence on the effect of mobile health interventions in prevention of DM2 is sparse. Therefore, we have developed an app aiming to promote initiation of behavioral change and adherence to healthy behavior. Before commencing a small-scale randomized controlled trial to assess the feasibility of using an app for initiation and adherence of healthy behavior in people at risk of DM2, testing the usability of the app in the target population is warranted. OBJECTIVE The aim of this study was to assess the usability of an app among people at risk of DM2. METHODS A qualitative study with the use of a think aloud (TA) procedure was conducted from April to November 2022. The TA procedure consisted of 10 problem-solving tasks and a semistructured interview which was carried out after the tasks. These interviews served to gain more in-depth knowledge of the users experience of the problem-solving tasks. The TA-sessions and the postactivity interviews were recorded and transcribed verbatim, and the data were coded and analyzed following the principles of thematic analysis. RESULTS In total, 7 people at risk of DM2 with a median age of 66 (range 41-75) years participated in this study. The analysis resulted in the following themes: (1) user interface design; and (2) suggestions for improvements of the functionality of the app. CONCLUSIONS Overall, the participants were satisfied with the usability of the app. Through the TA-sessions, real time perspective on the appeal, relevance, and utility of the app were gained. Only minor changes to the functionality of the prototype app were reported as necessary to improve the usability of the app. Points of guidance from the participants in this study have been adopted and incorporated into the final design of the app now being assessed for feasibility in a small-scale randomized controlled trial.
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Affiliation(s)
- Pernille Lunde
- Department of Rehabilitation Science and Health Technology, Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway
| | - Gyri Skoglund
- Department of Rehabilitation Science and Health Technology, Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway
| | - Cecilie Fromholt Olsen
- Department of Rehabilitation Science and Health Technology, Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway
| | - Gunvor Hilde
- Department of Rehabilitation Science and Health Technology, Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway
| | - Way Kiat Bong
- Department of Computer Science, Faculty of Technology, Art and Design, Oslo Metropolitan University, Oslo, Norway
| | - Birgitta Blakstad Nilsson
- Department of Rehabilitation Science and Health Technology, Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway
- Section for Physiotherapy Division of Medicine, Oslo University Hospital, Oslo, Norway
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20
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Weber MB, Rhodes EC, Ranjani H, Jeemon P, Ali MK, Hennink MM, Anjana RM, Mohan V, Narayan KMV, Prabhakaran D. Adapting and scaling a proven diabetes prevention program across 11 worksites in India: the INDIA-WORKS trial. Implement Sci Commun 2023; 4:134. [PMID: 37957783 PMCID: PMC10642065 DOI: 10.1186/s43058-023-00516-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 10/26/2023] [Indexed: 11/15/2023] Open
Abstract
BACKGROUND Structured lifestyle change education reduces the burden of cardiometabolic diseases such as diabetes. Delivery of these programs at worksites could overcome barriers to program adoption and improve program sustainability and reach; however, tailoring to the worksite setting is essential. METHODS The Integrating Diabetes Prevention in Workplaces (INDIA-WORKS) study tested the implementation and effectiveness of a multi-level program for reducing cardiometabolic disease risk factors at 11 large and diverse worksites across India. Herein, we describe and classify program adaptations reported during in-depth interviews and focus group discussions with worksite managers, program staff, and peer educators involved in program delivery, and program participants and drop-outs. We used thematic analysis to identify key themes in the data and classified reported program adaptations using the FRAME classification system. RESULTS Adaptations were led by worksite managers, peer educators, and program staff members. They occurred both pre- and during program implementation and were both planned (proactive) and unplanned (proactive and reactive). The most frequently reported adaptations to the individual-level intervention were curriculum changes to tailor lessons to the local context, make the program more appealing to the workers at the site, or add a wider variety of exercise options. Other content adaptations included improvements to the screening protocol, intervention scheduling, and outreach plans to tailor participant recruitment and retention to the sites. Environment-level content adaptations included expanding or leveraging healthy food and exercise options at the worksites. Challenges to adaptation included scheduling and worksite-level challenges. Participants discussed the need to continue adapting the program in the future to continue making it relevant for worksite settings and engaging for employees. CONCLUSION This study describes and classifies site-specific modifications to a structured lifestyle change education program with worksite-wide health improvements in India. This adds to the literature on implementation adaptation in general and worksite wellness in India, a country with a large and growing workforce with, or at risk of, serious cardiometabolic diseases. This information is key for program scale-up, dissemination, and implementation in other settings. TRIAL REGISTRATION Clinicaltrials.gov NCT02813668. Registered June 27, 2016.
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Affiliation(s)
- Mary Beth Weber
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, GA, USA.
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
| | - Elizabeth C Rhodes
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, GA, USA
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Harish Ranjani
- Madras Diabetes Research Foundation/Dr. Mohan's Diabetes Specialities Centre, Chennai, India
| | - Panniyammakal Jeemon
- Achutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India
| | - Mohammed K Ali
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, GA, USA
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA, USA
| | - Monique M Hennink
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Ranjit M Anjana
- Madras Diabetes Research Foundation/Dr. Mohan's Diabetes Specialities Centre, Chennai, India
| | - Viswanathan Mohan
- Madras Diabetes Research Foundation/Dr. Mohan's Diabetes Specialities Centre, Chennai, India
| | - K M Venkat Narayan
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, GA, USA
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Dorairaj Prabhakaran
- Public Health Foundation of India, New Delhi, India
- Centre for Chronic Disease Control, New Delhi, India
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21
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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] [MESH Headings] [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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22
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Marx N, Federici M, Schütt K, Müller-Wieland D, Ajjan RA, Antunes MJ, Christodorescu RM, Crawford C, Di Angelantonio E, Eliasson B, Espinola-Klein C, Fauchier L, Halle M, Herrington WG, Kautzky-Willer A, Lambrinou E, Lesiak M, Lettino M, McGuire DK, Mullens W, Rocca B, Sattar N. 2023 ESC Guidelines for the management of cardiovascular disease in patients with diabetes. Eur Heart J 2023; 44:4043-4140. [PMID: 37622663 DOI: 10.1093/eurheartj/ehad192] [Citation(s) in RCA: 280] [Impact Index Per Article: 280.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/26/2023] Open
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23
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Rahim NE, Flood D, Marcus ME, Theilmann M, Aung TN, Agoudavi K, Aryal KK, Bahendeka S, Bicaba B, Bovet P, Diallo AO, Farzadfar F, Guwatudde D, Houehanou C, Houinato D, Hwalla N, Jorgensen J, Kagaruki GB, Mayige M, Wong-McClure R, Larijani B, Saeedi Moghaddam S, Mwalim O, Mwangi KJ, Sarkar S, Sibai AM, Sturua L, Wesseh C, Geldsetzer P, Atun R, Vollmer S, Bärnighausen T, Davies J, Ali MK, Seiglie JA, Manne-Goehler J. Diabetes risk and provision of diabetes prevention activities in 44 low-income and middle-income countries: a cross-sectional analysis of nationally representative, individual-level survey data. Lancet Glob Health 2023; 11:e1576-e1586. [PMID: 37734801 PMCID: PMC10560068 DOI: 10.1016/s2214-109x(23)00348-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 06/27/2023] [Accepted: 07/12/2023] [Indexed: 09/23/2023]
Abstract
BACKGROUND The global burden of diabetes is rising rapidly, yet there is little evidence on individual-level diabetes prevention activities undertaken by health systems in low-income and middle-income countries (LMICs). Here we describe the population at high risk of developing diabetes, estimate diabetes prevention activities, and explore sociodemographic variation in these activities across LMICs. METHODS We performed a pooled, cross-sectional analysis of individual-level data from nationally representative, population-based surveys conducted in 44 LMICs between October, 2009, and May, 2019. Our sample included all participants older than 25 years who did not have diabetes and were not pregnant. We defined the population at high risk of diabetes on the basis of either the presence of impaired fasting glucose (or prediabetes in countries with a haemoglobin A1c available) or overweight or obesity, consistent with the WHO Package of Essential Noncommunicable Disease Guidelines for type 2 diabetes management. We estimated the proportion of survey participants that were at high risk of developing diabetes based on this definition. We also estimated the proportion of the population at high risk that reported each of four fundamental diabetes prevention activities: physical activity counselling, weight loss counselling, dietary counselling, and blood glucose screening, overall and stratified by World Bank income group. Finally, we used multivariable Poisson regression models to evaluate associations between sociodemographic characteristics and these activities. FINDINGS The final pooled sample included 145 739 adults (86 269 [59·2%] of whom were female and 59 468 [40·4%] of whom were male) across 44 LMICs, of whom 59 308 (40·6% [95% CI 38·5-42·8]) were considered at high risk of diabetes (20·6% [19·8-21·5] in low-income countries, 38·0% [37·2-38·9] in lower-middle-income countries, and 57·5% [54·3-60·6] in upper-middle-income countries). Overall, the reach of diabetes prevention activities was low at 40·0% (38·6-41·4) for physical activity counselling, 37·1% (35·9-38·4) for weight loss counselling, 42·7% (41·6-43·7) for dietary counselling, and 37·1% (34·7-39·6) for blood glucose screening. Diabetes prevention varied widely by national-level wealth: 68·1% (64·6-71·4) of people at high risk of diabetes in low-income countries reported none of these activities, whereas 49·0% (47·4-50·7) at high risk in upper-middle-income countries reported at least three activities. Educational attainment was associated with diabetes prevention, with estimated increases in the predicted probability of receipt ranging between 6·5 (3·6-9·4) percentage points for dietary fruit and vegetable counselling and 21·3 (19·5-23·2) percentage points for blood glucose screening, among people with some secondary schooling compared with people with no formal education. INTERPRETATION A large proportion of individuals across LMICs are at high risk of diabetes but less than half reported receiving fundamental prevention activities overall, with the lowest receipt of these activities among people in low-income countries and with no formal education. These findings offer foundational evidence to inform future global targets for diabetes prevention and to strengthen policies and programmes to prevent continued increases in diabetes worldwide. FUNDING Harvard T H Chan School of Public Health McLennan Fund: Dean's Challenge Grant Program and the EU's Research and Innovation programme Horizon 2020.
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Affiliation(s)
- Nicholas Errol Rahim
- Medical Practice Evaluation Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - David Flood
- Department of Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Maja E Marcus
- Division of Infectious Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Michaela Theilmann
- Heidelberg Institute of Global Health, Faculty of Medicine and University Hospital, Heidelberg University, Heidelberg, Germany; Behavioral Science for Disease Prevention and Health Care, Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany
| | - Taing N Aung
- Medical Practice Evaluation Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | | | - Krishna Kumar Aryal
- Bergen Centre for Ethics and Priority Setting, Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - Silver Bahendeka
- Diabetes and Endocrinology, Saint Francis Hospital Nsambya, Kampala, Uganda
| | - Brice Bicaba
- National Institute of Public Health, Ouagadougou, Burkina Faso
| | - Pascal Bovet
- University Center for General Medicine and Public Health (Unisanté), Lausanne, Switzerland; Ministry of Health, Victoria, Seychelles
| | - Alpha Oumar Diallo
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Farshad Farzadfar
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - David Guwatudde
- Department of Epidemiology and Biostatistics, School of Public Health, Makerere University, Kampala, Uganda
| | - Corine Houehanou
- Laboratory of Epidemiology of Chronic and Neurological Diseases, Faculty of Health Sciences, University of Abomey-Calavi, Cotonou, Benin
| | - Dismand Houinato
- Laboratory of Epidemiology of Chronic and Neurological Diseases, Faculty of Health Sciences, University of Abomey-Calavi, Cotonou, Benin
| | - Nahla Hwalla
- Faculty of Agricultural and Food Sciences, American University of Beirut, Beirut, Lebanon
| | - Jutta Jorgensen
- Institute of Global Health, Department of Public Health and Epidemiology, Copenhagen University, Copenhagen, Denmark
| | | | - Mary Mayige
- National Institute for Medical Research, Dar es Salaam, Tanzania
| | | | - Bagher Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Sahar Saeedi Moghaddam
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran; Kiel Institute for the World Economy, Kiel, Germany
| | | | - Kibachio Joseph Mwangi
- Division of Non-Communicable Diseases, Ministry of Health, Nairobi, Kenya; World Health Organization Country Office, Pretoria, South Africa
| | - Sudipa Sarkar
- Division of Endocrinology, Diabetes, and Metabolism, John Hopkins University, Baltimore, MD, USA
| | - Abla M Sibai
- Department of Epidemiology and Population Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon
| | - Lela Sturua
- Non-Communicable Disease Department, National Center for Disease Control and Public Health, Tbilisi, Georgia
| | | | - Pascal Geldsetzer
- Division of Primary Care and Population Health, Department of Medicine, Stanford University, Stanford, CA, USA; Chan Zuckerberg Biohub-San Francisco, San Francisco, CA, USA
| | - Rifat Atun
- Department of Global Health and Population, Harvard T H Chan School of Public Health, Harvard University, Boston, MA, USA; Department of Global Health and Social Medicine, Harvard Medical School, Harvard University, Boston, MA, USA
| | - Sebastian Vollmer
- Department of Economics and Centre for Modern Indian Studies, University of Göttingen, Göttingen, Germany
| | - Till Bärnighausen
- Heidelberg Institute of Global Health, Faculty of Medicine and University Hospital, Heidelberg University, Heidelberg, Germany; Department of Global Health and Social Medicine, Harvard Medical School, Harvard University, Boston, MA, USA; Africa Health Research Institute, Somkhele, South Africa
| | - Justine Davies
- MRC/Wits Rural Public Health and Health Transitions Research Unit, School of Public Health, University of Witwatersrand, Johannesburg, South Africa; Institute of Applied Health Research, University of Birmingham, Birmingham, UK; Centre for Global Surgery, Department of Global Health, Stellenbosch University, Cape Town, South Africa
| | - Mohammed K Ali
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA; Department of Family and Prevention Medicine, School of Medicine, Emory University, Atlanta, GA, USA
| | - Jacqueline A Seiglie
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Jennifer Manne-Goehler
- Medical Practice Evaluation Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Division of Infectious Diseases, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
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24
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Naveed I, Kaleem MF, Keshavjee K, Guergachi A. Artificial intelligence with temporal features outperforms machine learning in predicting diabetes. PLOS DIGITAL HEALTH 2023; 2:e0000354. [PMID: 37878561 PMCID: PMC10599553 DOI: 10.1371/journal.pdig.0000354] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 08/19/2023] [Indexed: 10/27/2023]
Abstract
Diabetes mellitus type 2 is increasingly being called a modern preventable pandemic, as even with excellent available treatments, the rate of complications of diabetes is rapidly increasing. Predicting diabetes and identifying it in its early stages could make it easier to prevent, allowing enough time to implement therapies before it gets out of control. Leveraging longitudinal electronic medical record (EMR) data with deep learning has great potential for diabetes prediction. This paper examines the predictive competency of deep learning models in contrast to state-of-the-art machine learning models to incorporate the time dimension of risk. The proposed research investigates a variety of deep learning models and features for predicting diabetes. Model performance was appraised and compared in relation to predominant features, risk factors, training data density and visit history. The framework was implemented on the longitudinal EMR records of over 19K patients extracted from the Canadian Primary Care Sentinel Surveillance Network (CPCSSN). Empirical findings demonstrate that deep learning models consistently outperform other state-of-the-art competitors with prediction accuracy of above 91%, without overfitting. Fasting blood sugar, hemoglobin A1c and body mass index are the key predictors of future onset of diabetes. Overweight, middle aged patients and patients with hypertension are more vulnerable to developing diabetes, consistent with what is already known. Model performance improves as training data density or the visit history of a patient increases. This study confirms the ability of the LSTM deep learning model to incorporate the time dimension of risk in its predictive capabilities.
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Affiliation(s)
- Iqra Naveed
- Department of Electrical Engineering, University of Management and Technology, Lahore, Pakistan
| | - Muhammad Farhat Kaleem
- Department of Electrical Engineering, University of Management and Technology, Lahore, Pakistan
| | - Karim Keshavjee
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada
| | - Aziz Guergachi
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada
- Ted Rogers School of Information Technology Management, Toronto Metropolitan University, Toronto, Canada
- Department of Mathematics and Statistics, York University, Toronto, Canada
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25
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Tobias DK, Merino J, Ahmad A, Aiken C, Benham JL, Bodhini D, Clark AL, Colclough K, Corcoy R, Cromer SJ, Duan D, Felton JL, Francis EC, Gillard P, Gingras V, Gaillard R, Haider E, Hughes A, Ikle JM, Jacobsen LM, Kahkoska AR, Kettunen JLT, Kreienkamp RJ, Lim LL, Männistö JME, Massey R, Mclennan NM, Miller RG, Morieri ML, Most J, Naylor RN, Ozkan B, Patel KA, Pilla SJ, Prystupa K, Raghavan S, Rooney MR, Schön M, Semnani-Azad Z, Sevilla-Gonzalez M, Svalastoga P, Takele WW, Tam CHT, Thuesen ACB, Tosur M, Wallace AS, Wang CC, Wong JJ, Yamamoto JM, Young K, Amouyal C, Andersen MK, Bonham MP, Chen M, Cheng F, Chikowore T, Chivers SC, Clemmensen C, Dabelea D, Dawed AY, Deutsch AJ, Dickens LT, DiMeglio LA, Dudenhöffer-Pfeifer M, Evans-Molina C, Fernández-Balsells MM, Fitipaldi H, Fitzpatrick SL, Gitelman SE, Goodarzi MO, Grieger JA, Guasch-Ferré M, Habibi N, Hansen T, Huang C, Harris-Kawano A, Ismail HM, Hoag B, Johnson RK, Jones AG, Koivula RW, Leong A, Leung GKW, Libman IM, Liu K, Long SA, Lowe WL, Morton RW, Motala AA, Onengut-Gumuscu S, Pankow JS, Pathirana M, Pazmino S, Perez D, Petrie JR, Powe CE, Quinteros A, Jain R, Ray D, Ried-Larsen M, Saeed Z, Santhakumar V, Kanbour S, Sarkar S, Monaco GSF, Scholtens DM, Selvin E, Sheu WHH, Speake C, Stanislawski MA, Steenackers N, Steck AK, Stefan N, Støy J, Taylor R, Tye SC, Ukke GG, Urazbayeva M, Van der Schueren B, Vatier C, Wentworth JM, Hannah W, White SL, Yu G, Zhang Y, Zhou SJ, Beltrand J, Polak M, Aukrust I, de Franco E, Flanagan SE, Maloney KA, McGovern A, Molnes J, Nakabuye M, Njølstad PR, Pomares-Millan H, Provenzano M, Saint-Martin C, Zhang C, Zhu Y, Auh S, de Souza R, Fawcett AJ, Gruber C, Mekonnen EG, Mixter E, Sherifali D, Eckel RH, Nolan JJ, Philipson LH, Brown RJ, Billings LK, Boyle K, Costacou T, Dennis JM, Florez JC, Gloyn AL, Gomez MF, Gottlieb PA, Greeley SAW, Griffin K, Hattersley AT, Hirsch IB, Hivert MF, Hood KK, Josefson JL, Kwak SH, Laffel LM, Lim SS, Loos RJF, Ma RCW, Mathieu C, Mathioudakis N, Meigs JB, Misra S, Mohan V, Murphy R, Oram R, Owen KR, Ozanne SE, Pearson ER, Perng W, Pollin TI, Pop-Busui R, Pratley RE, Redman LM, Redondo MJ, Reynolds RM, Semple RK, Sherr JL, Sims EK, Sweeting A, Tuomi T, Udler MS, Vesco KK, Vilsbøll T, Wagner R, Rich SS, Franks PW. Second international consensus report on gaps and opportunities for the clinical translation of precision diabetes medicine. Nat Med 2023; 29:2438-2457. [PMID: 37794253 PMCID: PMC10735053 DOI: 10.1038/s41591-023-02502-5] [Citation(s) in RCA: 45] [Impact Index Per Article: 45.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 07/14/2023] [Indexed: 10/06/2023]
Abstract
Precision medicine is part of the logical evolution of contemporary evidence-based medicine that seeks to reduce errors and optimize outcomes when making medical decisions and health recommendations. Diabetes affects hundreds of millions of people worldwide, many of whom will develop life-threatening complications and die prematurely. Precision medicine can potentially address this enormous problem by accounting for heterogeneity in the etiology, clinical presentation and pathogenesis of common forms of diabetes and risks of complications. This second international consensus report on precision diabetes medicine summarizes the findings from a systematic evidence review across the key pillars of precision medicine (prevention, diagnosis, treatment, prognosis) in four recognized forms of diabetes (monogenic, gestational, type 1, type 2). These reviews address key questions about the translation of precision medicine research into practice. Although not complete, owing to the vast literature on this topic, they revealed opportunities for the immediate or near-term clinical implementation of precision diabetes medicine; furthermore, we expose important gaps in knowledge, focusing on the need to obtain new clinically relevant evidence. Gaps include the need for common standards for clinical readiness, including consideration of cost-effectiveness, health equity, predictive accuracy, liability and accessibility. Key milestones are outlined for the broad clinical implementation of precision diabetes medicine.
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Affiliation(s)
- Deirdre K Tobias
- Division of Preventative 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
| | - Abrar Ahmad
- Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - Catherine Aiken
- Department of Obstetrics and Gynaecology, The Rosie Hospital, Cambridge, UK
- NIHR Cambridge Biomedical Research Centre, University of Cambridge, Cambridge, UK
| | - Jamie L Benham
- Departments of Medicine and Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Dhanasekaran Bodhini
- Department of Molecular Genetics, Madras Diabetes Research Foundation, Chennai, India
| | - Amy L Clark
- Division of Pediatric Endocrinology, Department of Pediatrics, Saint Louis University School of Medicine, SSM Health Cardinal Glennon Children's Hospital, St. Louis, MO, USA
| | - Kevin Colclough
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Rosa Corcoy
- CIBER-BBN, ISCIII, Madrid, Spain
- Institut d'Investigació Biomèdica Sant Pau (IIB SANT PAU), Barcelona, Spain
- Departament de Medicina, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Sara J Cromer
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Daisy Duan
- Division of Endocrinology, Diabetes and Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jamie L Felton
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Ellen C Francis
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA
| | | | - Véronique Gingras
- Department of Nutrition, Université de Montréal, Montreal, Quebec, Quebec, Canada
- Research Center, Sainte-Justine University Hospital Center, Montreal, Quebec, Quebec, Canada
| | - Romy Gaillard
- Department of Pediatrics, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Eram Haider
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Alice Hughes
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Jennifer M Ikle
- Department of Pediatrics, Stanford School of Medicine, Stanford University, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford School of Medicine, Stanford University, Stanford, CA, USA
| | | | - Anna R Kahkoska
- Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jarno L T Kettunen
- Helsinki University Hospital, Abdominal Centre/Endocrinology, Helsinki, Finland
- Folkhalsan Research Center, Helsinki, Finland
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland
| | - Raymond J Kreienkamp
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Pediatrics, Division of Endocrinology, Boston Children's Hospital, Boston, MA, USA
| | - Lee-Ling Lim
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
- Asia Diabetes Foundation, Hong Kong SAR, China
- Department of Medicine & Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China
| | - Jonna M E Männistö
- Departments of Pediatrics and Clinical Genetics, Kuopio University Hospital, Kuopio, Finland
- Department of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Robert Massey
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Niamh-Maire Mclennan
- Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Rachel G Miller
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Mario Luca Morieri
- Metabolic Disease Unit, University Hospital of Padova, Padova, Italy
- Department of Medicine, University of Padova, Padova, Italy
| | - Jasper Most
- Department of Orthopedics, Zuyderland Medical Center, Sittard-Geleen, The Netherlands
| | - Rochelle N Naylor
- Departments of Pediatrics and Medicine, University of Chicago, Chicago, IL, USA
| | - Bige Ozkan
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Kashyap Amratlal Patel
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Scott J Pilla
- Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
- Department of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Katsiaryna Prystupa
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Sridharan Raghavan
- Section of Academic Primary Care, US Department of Veterans Affairs Eastern Colorado Health Care System, Aurora, CO, USA
- Department of Medicine, University of Colorado School of Medicine, Aurora, CO, USA
| | - Mary R Rooney
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Martin Schön
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Diabetes Research and Metabolic Diseases (IDM), Helmholtz Center Munich, Neuherberg, Germany
- Institute of Experimental Endocrinology, Biomedical Research Center, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Zhila Semnani-Azad
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Magdalena Sevilla-Gonzalez
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Pernille Svalastoga
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Children and Youth Clinic, Haukeland University Hospital, Bergen, Norway
| | - Wubet Worku Takele
- Eastern Health Clinical School, Monash University, Melbourne, Victoria, Australia
| | - Claudia Ha-Ting Tam
- Department of Medicine & Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Anne Cathrine B Thuesen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mustafa Tosur
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
- Division of Pediatric Diabetes and Endocrinology, Texas Children's Hospital, Houston, TX, USA
- Children's Nutrition Research Center, USDA/ARS, Houston, TX, USA
| | - Amelia S Wallace
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Caroline C Wang
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jessie J Wong
- Stanford University School of Medicine, Stanford, CA, USA
| | | | - Katherine Young
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Chloé Amouyal
- Department of Diabetology, APHP, Paris, France
- Sorbonne Université, INSERM, NutriOmic team, Paris, France
| | - Mette K Andersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Maxine P Bonham
- Department of Nutrition, Dietetics and Food, Monash University, Melbourne, Victoria, Australia
| | - Mingling Chen
- Monash Centre for Health Research and Implementation, Monash University, Clayton, Victoria, Australia
| | - Feifei Cheng
- Health Management Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, China
| | - Tinashe Chikowore
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- MRC/Wits Developmental Pathways for Health Research Unit, Department of Paediatrics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Sian C Chivers
- Department of Women and Children's Health, King's College London, London, UK
| | - Christoffer Clemmensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Adem Y Dawed
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Aaron J Deutsch
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Laura T Dickens
- Section of Adult and Pediatric Endocrinology, Diabetes and Metabolism, Kovler Diabetes Center, University of Chicago, Chicago, IL, USA
| | - Linda A DiMeglio
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Pediatrics, Riley Hospital for Children, Indiana University School of Medicine, Indianapolis, IN, USA
| | | | - Carmella Evans-Molina
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
- Richard L. Roudebush VAMC, Indianapolis, IN, USA
| | - María Mercè Fernández-Balsells
- Biomedical Research Institute Girona, IdIBGi, Girona, Spain
- Diabetes, Endocrinology and Nutrition Unit Girona, University Hospital Dr Josep Trueta, Girona, Spain
| | - Hugo Fitipaldi
- Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden
| | - Stephanie L Fitzpatrick
- Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Stephen E Gitelman
- University of California at San Francisco, Department of Pediatrics, Diabetes Center, San Francisco, CA, USA
| | - Mark O Goodarzi
- Division of Endocrinology, Diabetes and Metabolism, Cedars-Sinai Medical Center, Los Angeles, CA, USA
- Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jessica A Grieger
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
- Robinson Research Institute, The University of Adelaide, Adelaide, South Australia, Australia
| | - Marta Guasch-Ferré
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Public Health and Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Nahal Habibi
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
- Robinson Research Institute, The University of Adelaide, Adelaide, South Australia, Australia
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Chuiguo Huang
- Department of Medicine & Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Arianna Harris-Kawano
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Heba M Ismail
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Benjamin Hoag
- Division of Endocrinology and Diabetes, Department of Pediatrics, Sanford Children's Hospital, Sioux Falls, SD, USA
- University of South Dakota School of Medicine, E Clark St, Vermillion, SD, USA
| | - Randi K Johnson
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA
| | - Angus G Jones
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
- Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Robert W Koivula
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
| | - Aaron Leong
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Gloria K W Leung
- Department of Nutrition, Dietetics and Food, Monash University, Melbourne, Victoria, Australia
| | | | - Kai Liu
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
| | - S Alice Long
- Center for Translational Immunology, Benaroya Research Institute, Seattle, WA, USA
| | - William L Lowe
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Robert W Morton
- Department of Pathology & Molecular Medicine, McMaster University, Hamilton, Ontario, Canada
- Population Health Research Institute, Hamilton, Ontario, Canada
- Department of Translational Medicine, Medical Science, Novo Nordisk Foundation, Hellerup, Denmark
| | - Ayesha A Motala
- Department of Diabetes and Endocrinology, Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
| | - Suna Onengut-Gumuscu
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - James S Pankow
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Maleesa Pathirana
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
- Robinson Research Institute, The University of Adelaide, Adelaide, South Australia, Australia
| | - Sofia Pazmino
- Department of Chronic Diseases and Metabolism, Clinical and Experimental Endocrinologyó, KU Leuven, Leuven, Belgium
| | - Dianna Perez
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - John R Petrie
- School of Health and Wellbeing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - Camille E Powe
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Obstetrics, Gynecology, and Reproductive Biology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Alejandra Quinteros
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, Australia
| | - Rashmi Jain
- Sanford Children's Specialty Clinic, Sioux Falls, SD, USA
- Department of Pediatrics, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD, USA
| | - Debashree Ray
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Mathias Ried-Larsen
- Centre for Physical Activity Research, Rigshospitalet, Copenhagen, Denmark
- Institute for Sports and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Zeb Saeed
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Vanessa Santhakumar
- Division of Preventative Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Sarah Kanbour
- Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
- AMAN Hospital, Doha, Qatar
| | - Sudipa Sarkar
- Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Gabriela S F Monaco
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Denise M Scholtens
- Department of Preventive Medicine, Division of Biostatistics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Elizabeth Selvin
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Wayne Huey-Herng Sheu
- Institute of Molecular and Genomic Medicine, National Health Research Institutes, Zhunan, Taiwan
- Divsion of Endocrinology and Metabolism, Taichung Veterans General Hospital, Taichung, Taiwan
- Division of Endocrinology and Metabolism, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Cate Speake
- Center for Interventional Immunology, Benaroya Research Institute, Seattle, WA, USA
| | - Maggie A Stanislawski
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Nele Steenackers
- Department of Chronic Diseases and Metabolism, Clinical and Experimental Endocrinologyó, KU Leuven, Leuven, Belgium
| | - Andrea K Steck
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Norbert Stefan
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute of Diabetes Research and Metabolic Diseases (IDM), Helmholtz Center Munich, Neuherberg, Germany
- University Hospital of Tübingen, Tübingen, Germany
| | - Julie Støy
- Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark
| | | | - Sok Cin Tye
- Sections on Genetics and Epidemiology, Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA
- Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, Groningen, the Netherlands
| | | | - Marzhan Urazbayeva
- Division of Pediatric Diabetes and Endocrinology, Texas Children's Hospital, Houston, TX, USA
- Gastroenterology, Baylor College of Medicine, Houston, TX, USA
| | - Bart Van der Schueren
- Department of Chronic Diseases and Metabolism, Clinical and Experimental Endocrinologyó, KU Leuven, Leuven, Belgium
- Department of Endocrinology, University Hospitals Leuven, Leuven, Belgium
| | - Camille Vatier
- Sorbonne University, Inserm U938, Saint-Antoine Research Centre, Institute of Cardiometabolism and Nutrition, Paris, France
- Department of Endocrinology, Diabetology and Reproductive Endocrinology, Assistance Publique-Hôpitaux de Paris, Saint-Antoine University Hospital, National Reference Center for Rare Diseases of Insulin Secretion and Insulin Sensitivity (PRISIS), Paris, France
| | - John M Wentworth
- Royal Melbourne Hospital Department of Diabetes and Endocrinology, Parkville, Victoria, Australia
- Walter and Eliza Hall Institute, Parkville, Victoria, Australia
- University of Melbourne Department of Medicine, Parkville, Victoria, Australia
| | - Wesley Hannah
- Deakin University, Melbourne, Victoria, Australia
- Department of Epidemiology, Madras Diabetes Research Foundation, Chennai, India
| | - Sara L White
- Department of Women and Children's Health, King's College London, London, UK
- Department of Diabetes and Endocrinology, Guy's and St Thomas' Hospitals NHS Foundation Trust, London, UK
| | - Gechang Yu
- Department of Medicine & Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yingchai Zhang
- Department of Medicine & Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Shao J Zhou
- Robinson Research Institute, The University of Adelaide, Adelaide, South Australia, Australia
- School of Agriculture, Food and Wine, University of Adelaide, Adelaide, South Australia, Australia
| | - Jacques Beltrand
- Institut Cochin, Inserm U 10116, Paris, France
- Pediatric Endocrinology and Diabetes, Hopital Necker Enfants Malades, APHP Centre, Université de Paris, Paris, France
| | - Michel Polak
- Institut Cochin, Inserm U 10116, Paris, France
- Pediatric Endocrinology and Diabetes, Hopital Necker Enfants Malades, APHP Centre, Université de Paris, Paris, France
| | - Ingvild Aukrust
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Elisa de Franco
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Sarah E Flanagan
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Kristin A Maloney
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Andrew McGovern
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Janne Molnes
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Mariam Nakabuye
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Pål Rasmus Njølstad
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Children and Youth Clinic, Haukeland University Hospital, Bergen, Norway
| | - Hugo Pomares-Millan
- Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Michele Provenzano
- Nephrology, Dialysis and Renal Transplant Unit, IRCCS-Azienda Ospedaliero-Universitaria di Bologna, Alma Mater Studiorum University of Bologna, Bologna, Italy
| | - Cécile Saint-Martin
- Department of Medical Genetics, AP-HP Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France
| | - Cuilin Zhang
- Global Center for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yeyi Zhu
- Kaiser Permanente Northern California Division of Research, Oakland, CA, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
| | - Sungyoung Auh
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Russell de Souza
- Population Health Research Institute, Hamilton, Ontario, Canada
- Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Andrea J Fawcett
- Ann & Robert H. Lurie Children's Hospital of Chicago, Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Department of Clinical and Organizational Development, Chicago, IL, USA
| | | | - Eskedar Getie Mekonnen
- College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
- Global Health Institute, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Emily Mixter
- Department of Medicine and Kovler Diabetes Center, University of Chicago, Chicago, IL, USA
| | - Diana Sherifali
- Population Health Research Institute, Hamilton, Ontario, Canada
- School of Nursing, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Robert H Eckel
- Division of Endocrinology, Metabolism, Diabetes, University of Colorado, Aurora, CO, USA
| | - John J Nolan
- Department of Clinical Medicine, School of Medicine, Trinity College Dublin, Dublin, Ireland
- Department of Endocrinology, Wexford General Hospital, Wexford, Ireland
| | - Louis H Philipson
- Department of Medicine and Kovler Diabetes Center, University of Chicago, Chicago, IL, USA
| | - Rebecca J Brown
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Liana K Billings
- Division of Endocrinology, NorthShore University HealthSystem, Skokie, IL, USA
- Department of Medicine, Prtizker School of Medicine, University of Chicago, Chicago, IL, USA
| | - Kristen Boyle
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Tina Costacou
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - John M Dennis
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Jose C Florez
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Anna L Gloyn
- Department of Pediatrics, Stanford School of Medicine, Stanford University, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford School of Medicine, Stanford University, Stanford, CA, USA
- Department of Genetics, Stanford School of Medicine, Stanford University, Stanford, CA, USA
| | - Maria F Gomez
- Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden
- Faculty of Health, Aarhus University, Aarhus, Denmark
| | - Peter A Gottlieb
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Siri Atma W Greeley
- Departments of Pediatrics and Medicine and Kovler Diabetes Center, University of Chicago, Chicago, IL, USA
| | - Kurt Griffin
- Department of Pediatrics, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD, USA
- Sanford Research, Sioux Falls, SD, USA
| | - Andrew T Hattersley
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
- Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Irl B Hirsch
- University of Washington School of Medicine, Seattle, WA, USA
| | - Marie-France Hivert
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Department of Medicine, Universite de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Korey K Hood
- Stanford University School of Medicine, Stanford, CA, USA
| | - Jami L Josefson
- Ann & Robert H. Lurie Children's Hospital of Chicago, Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Soo Heon Kwak
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Lori M Laffel
- Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA
| | - Siew S Lim
- Eastern Health Clinical School, Monash University, Melbourne, Victoria, Australia
| | - 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
| | - Ronald C W Ma
- Department of Medicine & Therapeutics, Chinese University of Hong Kong, Hong Kong SAR, China
- Laboratory for Molecular Epidemiology in Diabetes, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong SAR, China
| | | | | | - James B Meigs
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute, Cambridge, MA, USA
| | - Shivani Misra
- Division of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- Department of Diabetes & Endocrinology, Imperial College Healthcare NHS Trust, London, UK
| | - Viswanathan Mohan
- Department of Diabetology, Madras Diabetes Research Foundation & Dr. Mohan's Diabetes Specialities Centre, Chennai, India
| | - Rinki Murphy
- Department of Medicine, Faculty of Medicine and Health Sciences, University of Auckland, Auckland, New Zealand
- Auckland Diabetes Centre, Te Whatu Ora Health New Zealand, Auckland, New Zealand
- Medical Bariatric Service, Te Whatu Ora Counties, Health New Zealand, Auckland, New Zealand
| | - Richard Oram
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
- Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Katharine R Owen
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK
- Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Susan E Ozanne
- University of Cambridge, Metabolic Research Laboratories and MRC Metabolic Diseases Unit, Wellcome-MRC Institute of Metabolic Science, Cambridge, UK
| | - Ewan R Pearson
- Division of Population Health & Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Wei Perng
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Toni I Pollin
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Epidemiology & Public Health, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Rodica Pop-Busui
- Department of Internal Medicine, Division of Metabolism, Endocrinology and Diabetes, University of Michigan, Ann Arbor, MI, USA
| | | | | | - Maria J Redondo
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
- Division of Pediatric Diabetes and Endocrinology, Texas Children's Hospital, Houston, TX, USA
| | - Rebecca M Reynolds
- Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - Robert K Semple
- Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
- MRC Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | | | - Emily K Sims
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Arianne Sweeting
- Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
- Department of Endocrinology, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia
| | - Tiinamaija Tuomi
- Helsinki University Hospital, Abdominal Centre/Endocrinology, Helsinki, Finland
- Folkhalsan Research Center, Helsinki, Finland
- Institute for Molecular Medicine Finland FIMM, University of Helsinki, Helsinki, Finland
| | - Miriam S Udler
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical & Population Genetics, Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Kimberly K Vesco
- Kaiser Permanente Northwest, Kaiser Permanente Center for Health Research, Portland, OR, USA
| | - Tina Vilsbøll
- Clinial Research, Steno Diabetes Center Copenhagen, Herlev, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Robert Wagner
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Department of Endocrinology and Diabetology, University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Stephen S Rich
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Paul W Franks
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- Department of Clinical Sciences, Lund University Diabetes Centre, Lund University, Malmö, Sweden.
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, UK.
- Department of Translational Medicine, Medical Science, Novo Nordisk Foundation, Hellerup, Denmark.
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SALESI RAZIEH, KERMANI-ALGHORAISHI MOHAMMAD, SADEGHI ALIREZA, ROOHAFZA HAMIDREZA, TALAEI MOHAMMAD, SARRAFZADEGAN NIZAL, SADEGHI MASOUMEH. Body weight changes and diabetes mellitus incident: A cohort study from the Middle East. JOURNAL OF PREVENTIVE MEDICINE AND HYGIENE 2023; 64:E345-E351. [PMID: 38125999 PMCID: PMC10730058 DOI: 10.15167/2421-4248/jpmh2023.64.3.2650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Accepted: 07/18/2023] [Indexed: 12/23/2023]
Abstract
Objective Obesity is a known risk factor for diabetes, but the effect of weight changes on the incidence of diabetes is not yet determined. This study aims to evaluate the long-term effects of weight change [based on body mass index (BMI)] on the incidence of diabetes mellitus (DM) in a middle eastern population. Method In the Isfahan Cohort Study (ICS) 6504 adults equal or greater than 35 years of age were recruited at 2001 and were followed until 2013. Absolute BMI changes (ΔBMI) were calculated by subtracting the baseline BMI from the BMI measured at follow-ups. To compare participants with different baseline BMI easier, relative changes in BMI were quantified as the percentage of changes from baseline. DM was assessed based on standard definitions. Multivariable Cox regression was used to determine the association between ΔBMI and the incidence of diabetes. Results During follow-ups, 261 new cases of diabetes were recorded, with an IR of 3401.29 per 100,000 P-Y. The highest number of new cases of type 2 DM belongs to participants with overweight and obesity who had minimal BMI changes (less than 5% of their baseline BMI limits; 42 and 38 new cases, respectively). Participants who were obese at baseline and had lost more than 10% or gained 5-10% of baseline BMI were in the groups with the highest IR [360.05-95% CI (239.3-541.8) and 322.39-95% CI (178.5-582.1) respectively]. There was no significant association between BMI changes and the incidence of DM in the participants with normal BMI, overweight, and obesity at baseline in cure and adjusted models. Conclusions This study showed there was no significant association between diabetes mellitus incidence and BMI changes.
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Affiliation(s)
- RAZIEH SALESI
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - MOHAMMAD KERMANI-ALGHORAISHI
- Interventional Cardiology Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - ALIREZA SADEGHI
- Heart Failure Research Center, Cardiovascular Research Institute, Isfahan University of Medical Science, Isfahan, Iran
| | - HAMIDREZA ROOHAFZA
- Hypertension Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - MOHAMMAD TALAEI
- Institute of Population Health Sciences, Barts and the London School of Medicine, Queen Mary University of London, United Kingdom
| | - NIZAL SARRAFZADEGAN
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - MASOUMEH SADEGHI
- Cardiac Rehabilitation Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
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Herman WH, Villatoro C, Joiner KL, McEwen LN. Uptake, retention, and outcomes of the National Diabetes Prevention Program by enrollee characteristics and program type. Diabetes Res Clin Pract 2023; 203:110835. [PMID: 37478975 PMCID: PMC10928672 DOI: 10.1016/j.diabres.2023.110835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 07/13/2023] [Accepted: 07/17/2023] [Indexed: 07/23/2023]
Abstract
AIMS To describe National Diabetes Prevention Program (NDPP) uptake, retention, and outcomes by enrollee characteristics and program type. METHODS We studied 776 adult University of Michigan employees, dependents, and retirees with prediabetes and overweight or obesity who enrolled in one of four CDC-recognized NDPPs at no out-of-pocket cost. Programs included 1) an in-person classroom-based program led by certified diabetes educators in an endocrinology outpatient clinic; 2) an in-person classroom-based program led by trained peer instructors in community settings; 3) an in-person fitness-focused program led by trained lifestyle coaches; and 4) an online digital program led by personal health coaches with virtual group meetings. Data from the insurer and surveys were analyzed. RESULTS Older individuals with hypertension and cardiovascular disease were more likely to enroll in classroom-based programs. Program time, location, and perceived focus on diet or physical activity influenced program selection. Retention, weight loss, and physical activity were greater among enrollees in in-person classroom-based programs. Changes in blood pressure, lipid levels, self-rated health, and health-related quality-of-life did not differ by program, nor did Type 2 diabetes mellitus incidence. CONCLUSIONS Individuals with prediabetes who enrolled in a NDPP achieved health benefits regardless of the type of program they chose.
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Affiliation(s)
- William H Herman
- Department of Internal Medicine, Division of Metabolism, Endocrinology, and Diabetes, University of Michigan, Ann Arbor, MI, USA; Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Claudia Villatoro
- Department of Internal Medicine, Division of Metabolism, Endocrinology, and Diabetes, University of Michigan, Ann Arbor, MI, USA
| | - Kevin L Joiner
- Department of Health Behavior and Biological Sciences, School of Nursing, University of Michigan, Ann Arbor, MI, USA
| | - Laura N McEwen
- Department of Internal Medicine, Division of Metabolism, Endocrinology, and Diabetes, University of Michigan, Ann Arbor, MI, USA
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Ross J, Hawkes RE, Miles LM, Cotterill S, Bower P, Murray E. Design and Early Use of the Nationally Implemented Healthier You National Health Service Digital Diabetes Prevention Programme: Mixed Methods Study. J Med Internet Res 2023; 25:e47436. [PMID: 37590056 PMCID: PMC10472174 DOI: 10.2196/47436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 04/28/2023] [Accepted: 06/26/2023] [Indexed: 08/18/2023] Open
Abstract
BACKGROUND The Healthier You National Health Service Digital Diabetes Prevention Programme (NHS-digital-DPP) is a 9-month digital behavior change intervention delivered by 4 independent providers that is implemented nationally across England. No studies have explored the design features included by service providers of digital diabetes prevention programs to promote engagement, and little is known about how participants of nationally implemented digital diabetes prevention programs such as this one make use of them. OBJECTIVE This study aimed to understand engagement with the NHS-digital-DPP. The specific objectives were to describe how engagement with the NHS-digital-DPP is promoted via design features and strategies and describe participants' early engagement with the NHS-digital-DPP apps. METHODS Mixed methods were used. The qualitative study was a secondary analysis of documents detailing the NHS-digital-DPP intervention design and interviews with program developers (n=6). Data were deductively coded according to an established framework of engagement with digital health interventions. For the quantitative study, anonymous use data collected over 9 months for each provider representing participants' first 30 days of use of the apps were obtained for participants enrolled in the NHS-digital-DPP. Use data fields were categorized into 4 intervention features (Track, Learn, Coach Interactions, and Peer Support). The amount of engagement with the intervention features was calculated for the entire cohort, and the differences between providers were explored statistically. RESULTS Data were available for 12,857 participants who enrolled in the NHS-digital-DPP during the data collection phase. Overall, 94.37% (12,133/12,857) of those enrolled engaged with the apps in the first 30 days. The median (IQR) number of days of use was 11 (2-25). Track features were engaged with the most (number of tracking events: median 46, IQR 3-22), and Peer Support features were the least engaged with, a median value of 0 (IQR 0-0). Differences in engagement with features were observed across providers. Qualitative findings offer explanations for the variations, including suggesting the importance of health coaches, reminders, and regular content updates to facilitate early engagement. CONCLUSIONS Almost all participants in the NHS-digital-DPP started using the apps. Differences across providers identified by the mixed methods analysis provide the opportunity to identify features that are important for engagement with digital health interventions and could inform the design of other digital behavior change interventions.
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Affiliation(s)
- Jamie Ross
- Centre for Primary Care, Wolfson Institute of Population Health Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
| | - Rhiannon E Hawkes
- Manchester Centre for Health Psychology, Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Lisa M Miles
- Manchester Centre for Health Psychology, Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Sarah Cotterill
- Centre for Biostatistics, Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Peter Bower
- NIHR Applied Research Collaboration Greater Manchester, Centre for Primary Care and Health Services Research, Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Elizabeth Murray
- e-health unit, Department of Primary Care and Population Health, Institute of Epidemiology & Health Care, University College London, London, United Kingdom
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Weber MB, Rhodes EC, Ranjani H, Jeemon P, Ali MK, Hennink MM, Anjana RM, Mohan V, Narayan KV, Prabhakaran D. Adapting and scaling a proven diabetes prevention program across 11 worksites in India: the INDIA-WORKS trial. RESEARCH SQUARE 2023:rs.3.rs-3143470. [PMID: 37577514 PMCID: PMC10418536 DOI: 10.21203/rs.3.rs-3143470/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
Background Delivery of proven structured lifestyle change education for reducing the burden of cardiometabolic diseases such as diabetes at worksites could overcome barriers to program adoption and improve sustainability and reach of these programs; however, tailoring to the worksite setting is essential. Methods The Integrating Diabetes Prevention in Workplaces (INDIA-WORKS) study tested the implementation and effectiveness of a multi-level program for reducing cardiometabolic disease risk factors at eleven large and diverse worksites across India. Herein, we describe and classify program adaptations reported during in-depth interviews and focus group discussions with worksite managers, program staff, peer educators involved in program delivery, and program participants and drop-outs. We used thematic analysis to identify key themes in the data and classified reported program adaptations using the FRAME classification system. Results Adaptations were led by worksite managers, peer educators, and program staff members. They occurred both pre- and during program implementation and were both planned (proactive) and unplanned (proactive and reactive). The most frequently reported adaptations to the individual-level intervention were curriculum changes to tailor lessons to the local context, make the program more appealing to the workers at the site, or add exercise options. Other content adaptations included improvements to the screening protocol, intervention scheduling, and outreach plans to tailor participant recruitment and retention to the sites. Environment-level content adaptations included expanding or leveraging healthy food and exercise options at the worksites. Challenges to adaptation included scheduling and worksite-level challenges. Participants discussed the need to continue adapting the program in the future to continue making it relevant for worksite settings and engaging for employees. Conclusion This study describes and classifies site-specific modifications to a structured lifestyle change education program with worksite-wide health improvements in India. This adds to the literature on implementation adaptation in general and worksite wellness in India, a country with a large and growing workforce with, or at risk of, serious cardiometabolic diseases. This information is key for program scale-up, dissemination, and implementation in other settings. Trial Registration Clinicaltrial.gov NCT02813668, registered June 27, 2016.
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Khalaf SH, Waheed AS, Ali NA, AlNajem NJ, Abdulrahman RM, Hasan ZJ. Assessment of Type 2 Diabetes Awareness and Knowledge in the Non-medical Bahraini Population. Cureus 2023; 15:e44231. [PMID: 37772210 PMCID: PMC10523108 DOI: 10.7759/cureus.44231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/27/2023] [Indexed: 09/30/2023] Open
Abstract
Background With type 2 diabetes (T2D) posing an escalating health challenge to the Kingdom of Bahrain, enhancing public awareness becomes instrumental in mitigating disease outcomes. This study aimed to appraise the level of T2D awareness among the non-medical Bahraini population by evaluating their understanding of the disease, its risk factors, symptoms, complications, monitoring, and prevention methods. Methods We conducted a cross-sectional study from March 2022 to June 2022. The study employed an electronic survey using Google® Forms (Google LLC, Mountain View, California, USA) targeting non-healthcare workers aged 15 and above. The survey consisted of multiple yes-and-no questions designed to evaluate different aspects of respondents' T2D knowledge. Results Out of 835 participants, a total of 613 participants were included. The overall awareness of T2D was found to be average (70.6% CI±6.214, SD ±8.80%). The mean scores of correct answers in the different sections such as general knowledge, risk factors, symptoms, complications, treatment, monitoring, and prevention of T2D were 54.5% CI ±14.8, 75.5% CI±12.5, 77.6% CI±5.3, 61.8% CI±8.5, and 73.4% CI±5.4 respectively. Furthermore, the diabetic population scored an average of 76.7% in awareness in comparison to the non-diabetic population which scored 72.5% in overall awareness. Conclusions These findings underscore the pressing need to enhance T2D awareness among the Bahraini population. Implementing early education programs and strategically utilizing social media platforms may aid in bolstering public understanding of T2D, aiming ultimately to reduce its prevalence and associated economic burden.
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Affiliation(s)
| | - Aysha S Waheed
- General Practice, Royal College of Surgeons in Ireland, Busaiteen, BHR
| | - Noora A Ali
- General Practice, Royal College of Surgeons in Ireland, Busaiteen, BHR
| | - Noor J AlNajem
- General Practice, Royal College of Surgeons in Ireland, Busaiteen, BHR
| | | | - Zainab J Hasan
- General Practice, Royal College of Surgeons in Ireland, Busaiteen, BHR
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French DP, Ahern AL, Greaves CJ, Hawkes RE, Higgs S, Pechey R, Sniehotta FF. Preventing type 2 diabetes: A research agenda for behavioural science. Diabet Med 2023; 40:e15147. [PMID: 37171753 PMCID: PMC10947238 DOI: 10.1111/dme.15147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 04/26/2023] [Accepted: 05/11/2023] [Indexed: 05/13/2023]
Abstract
AIMS The aim of this narrative review was to identify important knowledge gaps in behavioural science relating to type 2 diabetes prevention, to inform future research in the field. METHODS Seven researchers who have published behaviour science research applied to type 2 diabetes prevention independently identified several important gaps in knowledge. They met to discuss these and to generate recommendations to advance research in behavioural science of type 2 diabetes prevention. RESULTS A total of 21 overlapping recommendations for a research agenda were identified. These covered issues within the following broad categories: (a) evidencing the impact of whole population approaches to type 2 diabetes prevention, (b) understanding the utility of disease-specific approaches to type 2 diabetes prevention such as Diabetes Prevention Programmes (DPPs) compared to generic weight loss programmes, (c) identifying how best to increase reach and engagement of DPPs, whilst avoiding exacerbating inequalities, (d) the need to understand mechanism of DPPs, (e) the need to understand how to increase maintenance of changes as part of or following DPPs, (f) the need to assess the feasibility and effectiveness of alternative approaches to the typical self-regulation approaches that are most commonly used, and (g) the need to address emotional aspects of DPPs, to promote effectiveness and avoid harms. CONCLUSIONS There is a clear role for behavioural science in informing interventions to prevent people from developing type 2 diabetes, based on strong evidence of reach, effectiveness and cost-effectiveness. This review identifies key priorities for research needed to improve existing interventions.
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Affiliation(s)
- David P. French
- Manchester Centre of Health Psychology, Division of Psychology and Mental HealthUniversity of ManchesterManchesterUK
| | - Amy L. Ahern
- MRC Epidemiology Unit, School of Clinical MedicineUniversity of CambridgeCambridgeUK
| | - Colin J. Greaves
- School of Sport, Exercise and Rehabilitation SciencesUniversity of BirminghamBirminghamUK
| | - Rhiannon E. Hawkes
- Manchester Centre of Health Psychology, Division of Psychology and Mental HealthUniversity of ManchesterManchesterUK
| | - Suzanne Higgs
- School of PsychologyUniversity of BirminghamBirminghamUK
| | - Rachel Pechey
- Nuffield Department of Primary Care Health SciencesUniversity of OxfordOxfordUK
| | - Falko F. Sniehotta
- Division of Public Health, Social and Preventive Medicine, Center for Preventive Medicine and Digital Health (CPD)Universitätsmedizin Mannheim, Heidelberg UniversityHeidelbergGermany
- NIHR Policy Research Unit Behavioural ScienceNewcastle UniversityUK
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Herman WH, Villatoro C, Joiner KL, McEwen LN. Retention and outcomes of National Diabetes Prevention Program enrollees and non-enrollees with prediabetes: The University of Michigan experience. J Diabetes Complications 2023; 37:108527. [PMID: 37459781 PMCID: PMC10928673 DOI: 10.1016/j.jdiacomp.2023.108527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 05/31/2023] [Accepted: 06/01/2023] [Indexed: 08/04/2023]
Abstract
AIMS To evaluate retention and outcomes of insured adults with prediabetes who enrolled or did not enroll in National Diabetes Prevention Programs (NDPPs). METHODS Between 2015 and 2019, 776 University of Michigan employees, dependents, and retirees with prediabetes and overweight or obesity enrolled in one-year NDPPs. RESULTS Enrollees attended a median of 18 sessions. Median retention was 38 weeks. Retention was associated with older age, greater initial weight loss, and physical activity. At both 1- and 2-years, body mass index, triglycerides, and HbA1c were significantly improved among enrollees. After adjusting for age group, sex, and race, the odds of developing diabetes based on HbA1c ≥6.5 % was 40 % lower at 1-year and 20 % lower at 2-years, and the odds of self-reported diabetes was 57 % lower at 1-year and 46 % lower at 2-years in enrollees compared to non-enrollees. Enrollees who disenrolled before completing the core curriculum had higher odds and enrollees who completed the NDPP had lower odds of developing diabetes that non-enrollees. CONCLUSIONS In this population with prediabetes, NDPP retention was generally good, risk factors were improved, and diabetes was delayed or prevented for up to two years.
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Affiliation(s)
- William H Herman
- Department of Internal Medicine, Division of Metabolism, Endocrinology, and Diabetes, University of Michigan, Ann Arbor, MI, USA; Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
| | - Claudia Villatoro
- Department of Internal Medicine, Division of Metabolism, Endocrinology, and Diabetes, University of Michigan, Ann Arbor, MI, USA
| | - Kevin L Joiner
- Department of Health Behavior and Biological Sciences, School of Nursing, University of Michigan, Ann Arbor, MI, USA
| | - Laura N McEwen
- Department of Internal Medicine, Division of Metabolism, Endocrinology, and Diabetes, University of Michigan, Ann Arbor, MI, USA
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Cranston KD, MacPherson MM, Sim JA, Jung ME. Small Steps Towards an Inclusive Diabetes Prevention Program: How Small Steps for Big Changes is Improving Program Equity and Inclusion. COMMUNITY HEALTH EQUITY RESEARCH & POLICY 2023:2752535X231189932. [PMID: 37478867 DOI: 10.1177/2752535x231189932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/23/2023]
Abstract
Social determinants of health, the effects of colonialism, and systemic injustices result in some groups being at disproportionately higher risk for developing type 2 diabetes (T2D). Many T2D prevention programs have not been designed to provide equitable and inclusive care to everyone. This paper presents an example of the steps taken in an evidence-based community T2D prevention program, Small Steps for Big Changes (SSBC), to improve equitable access and inclusivity based on input from a stakeholder advisory group and the ConNECT Framework. To improve reach to those most at risk for T2D, SSBC has changed both eligibility criteria and program delivery. To ensure that all testing is done in an inclusive manner, changes have been made to measurements, and to training for those delivering the program. This paper also provides actionable recommendations for other researchers to incorporate into their own health programs to promote inclusivity and ensure that they reach those most at risk of T2D.
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Affiliation(s)
- Kaela D Cranston
- School of Health and Exercise Sciences, University of British Columbia Okanagan Campus, Kelowna, BC, Canada
| | - Megan M MacPherson
- School of Health and Exercise Sciences, University of British Columbia Okanagan Campus, Kelowna, BC, Canada
| | - Jenna Ap Sim
- School of Health and Exercise Sciences, University of British Columbia Okanagan Campus, Kelowna, BC, Canada
| | - Mary E Jung
- School of Health and Exercise Sciences, University of British Columbia Okanagan Campus, Kelowna, BC, Canada
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Al-Rawaf HA, Gabr SA, Iqbal A, Alghadir AH. High-Intensity Interval Training Improves Glycemic Control, Cellular Apoptosis, and Oxidative Stress of Type 2 Diabetic Patients. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:1320. [PMID: 37512131 PMCID: PMC10384171 DOI: 10.3390/medicina59071320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 06/25/2023] [Accepted: 07/03/2023] [Indexed: 07/30/2023]
Abstract
Background and Objectives: Physical exercise is an important therapeutic modality for treating and managing diabetes. High-intensity interval training (HIIT) is considered one of the best non-drug strategies for preventing and treating type 2 diabetes mellitus (T2DM) by improving mitochondrial biogenesis and function. This study aimed to determine the effects of 12 weeks of HIIT training on the expression of tumor suppressor protein-p53, mitochondrial cytochrome c oxidase (COX), and oxidative stress in patients with T2DM. Methods: A total of thirty male sedentary patients aged (45-60 years) were diagnosed with established T2DM for more than five years. Twenty healthy volunteers, age- and sex-matched, were included in this study. Both patients and control subjects participated in the HIIT program for 12 weeks. Glycemic control variables including p53 (U/mL), COX (ng/mL), total antioxidant capacity (TAC, nmole/µL), 8-hydroxy-2'-deoxyguanosine (8-OHdG, ng/mL), as well as genomic and mitochondrial DNA content were measured in both the serum and muscle tissues of control and patient groups following exercise training. Results: There were significant improvements in fasting glucose levels. HbA1c (%), HOMA-IR (mUmmol/L2), fasting insulin (µU/mL), and C-peptide (ng/mL) were reported in T2DM and healthy controls. A significant decrease was also observed in p53 protein levels. COX, 8-OhdG, and an increase in the level of TAC were reported in T2DM following 12 weeks of HIIT exercise. Before and after exercise, p53; COX, mt-DNA content, TAC, and 8-OhdG showed an association with diabetic control parameters such as fasting glucose (FG), glycated hemoglobin (HbA1C, %), C-peptide, fasting insulin (FI), and homeostatic model assessment for insulin resistance (HOMA-IR) in patients with T2DM. These findings support the positive impact of HIIT exercise in improving regulation of mitochondrial biogenesis and subsequent control of diabetes through anti-apoptotic and anti-oxidative pathways. Conclusions: A 12-week HIIT program significantly improves diabetes by reducing insulin resistance; regulating mitochondrial biogenesis; and decreasing oxidative stress capacity among patients and healthy controls. Also; p53 protein expression; COX; 8-OhdG; and TAC and mt-DNA content were shown to be associated with T2DM before and after exercise training.
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Affiliation(s)
- Hadeel A. Al-Rawaf
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia;
| | - Sami A. Gabr
- Department of Rehabilitation Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia; (S.A.G.); (A.H.A.)
| | - Amir Iqbal
- Department of Rehabilitation Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia; (S.A.G.); (A.H.A.)
| | - Ahmad H. Alghadir
- Department of Rehabilitation Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 11433, Saudi Arabia; (S.A.G.); (A.H.A.)
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Rooney MR, Fang M, Ogurtsova K, Ozkan B, Echouffo-Tcheugui JB, Boyko EJ, Magliano DJ, Selvin E. Global Prevalence of Prediabetes. Diabetes Care 2023; 46:1388-1394. [PMID: 37196350 PMCID: PMC10442190 DOI: 10.2337/dc22-2376] [Citation(s) in RCA: 97] [Impact Index Per Article: 97.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 04/10/2023] [Indexed: 05/19/2023]
Abstract
OBJECTIVE To estimate the global, regional, and national prevalence of prediabetes, defined by impaired glucose tolerance (IGT) or impaired fasting glucose (IFG). RESEARCH DESIGN AND METHODS We reviewed 7,014 publications for high-quality estimates of IGT (2-h glucose, 7.8-11.0 mmol/L [140-199 mg/dL]) and IFG (fasting glucose, 6.1-6.9 mmol/L [110-125 mg/dL]) prevalence for each country. We used logistic regression to generate prevalence estimates for IGT and IFG among adults aged 20-79 years in 2021 and projections for 2045. For countries without in-country data, we extrapolated estimates from countries with available data with similar geography, income, ethnicity, and language. Estimates were standardized to the age distribution for each country from the United Nations. RESULTS Approximately two-thirds of countries did not have high-quality IGT or IFG data. There were 50 high-quality studies for IGT from 43 countries and 43 high-quality studies for IFG from 40 countries. Eleven countries had data for both IGT and IFG. The global prevalence of IGT in 2021 was 9.1% (464 million) and is projected to increase to 10.0% (638 million) in 2045. The global prevalence of IFG in 2021 was 5.8% (298 million) and is projected to increase to 6.5% (414 million) in 2045. The 2021 prevalence of IGT and IFG was highest in high-income countries. In 2045, the largest relative growth in cases of IGT and IFG would be in low-income countries. CONCLUSIONS The global burden of prediabetes is substantial and growing. Enhancing prediabetes surveillance is necessary to effectively implement diabetes prevention policies and interventions.
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Affiliation(s)
- Mary R. Rooney
- Department of Epidemiology and Welch Center for Prevention, Epidemiology, & Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Michael Fang
- Department of Epidemiology and Welch Center for Prevention, Epidemiology, & Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Katherine Ogurtsova
- Environmental Epidemiology Group, Institute of Occupational, Social and Environmental Medicine, Centre for Health and Society, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Bige Ozkan
- Department of Epidemiology and Welch Center for Prevention, Epidemiology, & Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | | | - Edward J. Boyko
- Seattle Epidemiologic Research and Information Center, VA Puget Sound Health Care System, Seattle, WA
| | - Dianna J. Magliano
- Baker Heart and Diabetes Institute & School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Elizabeth Selvin
- Department of Epidemiology and Welch Center for Prevention, Epidemiology, & Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
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Gregg EW, Patorno E, Karter AJ, Mehta R, Huang ES, White M, Patel CJ, McElvaine AT, Cefalu WT, Selby J, Riddle MC, Khunti K. Use of Real-World Data in Population Science to Improve the Prevention and Care of Diabetes-Related Outcomes. Diabetes Care 2023; 46:1316-1326. [PMID: 37339346 PMCID: PMC10300521 DOI: 10.2337/dc22-1438] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 04/11/2023] [Indexed: 06/22/2023]
Abstract
The past decade of population research for diabetes has seen a dramatic proliferation of the use of real-world data (RWD) and real-world evidence (RWE) generation from non-research settings, including both health and non-health sources, to influence decisions related to optimal diabetes care. A common attribute of these new data is that they were not collected for research purposes yet have the potential to enrich the information around the characteristics of individuals, risk factors, interventions, and health effects. This has expanded the role of subdisciplines like comparative effectiveness research and precision medicine, new quasi-experimental study designs, new research platforms like distributed data networks, and new analytic approaches for clinical prediction of prognosis or treatment response. The result of these developments is a greater potential to progress diabetes treatment and prevention through the increasing range of populations, interventions, outcomes, and settings that can be efficiently examined. However, this proliferation also carries an increased threat of bias and misleading findings. The level of evidence that may be derived from RWD is ultimately a function of the data quality and the rigorous application of study design and analysis. This report reviews the current landscape and applications of RWD in clinical effectiveness and population health research for diabetes and summarizes opportunities and best practices in the conduct, reporting, and dissemination of RWD to optimize its value and limit its drawbacks.
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Affiliation(s)
- Edward W. Gregg
- School of Population Health, RRCSI University of Medicine and Health Sciences, Dublin, Ireland
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, U.K
| | - Elisabetta Patorno
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Andrew J. Karter
- Division of Research, Kaiser Permanente, Oakland, CA
- Department of Health Systems and Population Health, University of Washington, Seattle, WA
| | - Roopa Mehta
- Metabolic Research Unit (UIEM), Department of Endocrinology and Metabolism, Instituto Nacional de Ciencias Medicas y Nutricion, Salvador Zubiran (INCMNSZ), Mexico City, Mexico
| | - Elbert S. Huang
- Section of General Internal Medicine, Center for Chronic Disease Research and Policy (CDRP), The University of Chicago, Chicago, IL
| | - Martin White
- Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, U.K
| | - Chirag J. Patel
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA
| | | | - William T. Cefalu
- Division of Diabetes, Endocrinology, and Metabolic Diseases, National Institute of Diabetes, Digestive, and Kidney Diseases, National Institutes of Health, Bethesda, MD
| | - Joseph Selby
- Patient-Centered Outcomes Institute, Washington, DC
| | - Matthew C. Riddle
- Division of Endocrinology, Diabetes, and Clinical Nutrition, Oregon Health & Science University, Portland, OR
| | - Kamlesh Khunti
- Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, U.K
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Bracco PA, Schmidt MI, Vigo A, Mill JG, Vidigal PG, Barreto SM, Sander MDF, da Fonseca MDJM, Duncan BB. Optimizing strategies to identify high risk of developing type 2 diabetes. Front Endocrinol (Lausanne) 2023; 14:1166147. [PMID: 37448463 PMCID: PMC10338007 DOI: 10.3389/fendo.2023.1166147] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 06/05/2023] [Indexed: 07/15/2023] Open
Abstract
Introduction The success of diabetes prevention based on early treatment depends on high-quality screening. This study compared the diagnostic properties of currently recommended screening strategies against alternative score-based rules to identify those at high risk of developing diabetes. Methods The study used data from ELSA-Brasil, a contemporary cohort followed up for a mean (standard deviation) of 7.4 (0.54) years, to develop risk functions with logistic regression to predict incident diabetes based on socioeconomic, lifestyle, clinical, and laboratory variables. We compared the predictive capacity of these functions against traditional pre-diabetes cutoffs of fasting plasma glucose (FPG), 2-h plasma glucose (2hPG), and glycated hemoglobin (HbA1c) alone or combined with recommended screening questionnaires. Results Presenting FPG > 100 mg/dl predicted 76.6% of future cases of diabetes in the cohort at the cost of labeling 40.6% of the sample as high risk. If FPG testing was performed only in those with a positive American Diabetes Association (ADA) questionnaire, labeling was reduced to 12.2%, but only 33% of future cases were identified. Scores using continuously expressed clinical and laboratory variables produced a better balance between detecting more cases and labeling fewer false positives. They consistently outperformed strategies based on categorical cutoffs. For example, a score composed of both clinical and laboratory data, calibrated to detect a risk of future diabetes ≥20%, predicted 54% of future diabetes cases, labeled only 15.3% as high risk, and, compared to the FPG ≥ 100 mg/dl strategy, nearly doubled the probability of future diabetes among screen positives. Discussion Currently recommended screening strategies are inferior to alternatives based on continuous clinical and laboratory variables.
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Affiliation(s)
- Paula Andreghetto Bracco
- Postgraduate Program in Epidemiology, School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Institution of Mathematics and Statistics, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Maria Inês Schmidt
- Postgraduate Program in Epidemiology, School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Alvaro Vigo
- Postgraduate Program in Epidemiology, School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Institution of Mathematics and Statistics, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - José Geraldo Mill
- Health Science Center, Universidade Federal do Espírito Santo, Vitória, Brazil
| | | | - Sandhi Maria Barreto
- School of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
- Clinical Hospital/EBSERH, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | | | | | - Bruce Bartholow Duncan
- Postgraduate Program in Epidemiology, School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
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Lemp JM, Bommer C, Xie M, Jani A, Davies JI, Bärnighausen T, Vollmer S, Geldsetzer P. Achieving behavior change at scale: Causal evidence from a national lifestyle intervention program for pre-diabetes in the UK. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.06.08.23291126. [PMID: 37398473 PMCID: PMC10312862 DOI: 10.1101/2023.06.08.23291126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
There remains widespread doubt among clinicians that mere lifestyle advice and counseling provided in routine care can achieve improvements in health. We aimed to determine the health effects of the largest behavior change program for pre-diabetes globally (the English Diabetes Prevention Programme) when implemented at scale in routine care. We exploited the threshold in glycated hemoglobin (HbA1c) used to decide on program eligibility by applying a regression discontinuity design, one of the most credible quasi-experimental strategies for causal inference, to electronic health data from approximately one-fifth of all primary care practices in England. Program referral led to significant improvements in patients' HbA1c and body mass index. This analysis provides causal, rather than associational, evidence that lifestyle advice and counseling implemented in a national health system can achieve important health improvements.
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Aas AM, Axelsen M, Churuangsuk C, Hermansen K, Kendall CWC, Kahleova H, Khan T, Lean MEJ, Mann JI, Pedersen E, Pfeiffer A, Rahelić D, Reynolds AN, Risérus U, Rivellese AA, Salas-Salvadó J, Schwab U, Sievenpiper JL, Thanopoulou A, Uusitupa EM. Evidence-based European recommendations for the dietary management of diabetes. Diabetologia 2023; 66:965-985. [PMID: 37069434 DOI: 10.1007/s00125-023-05894-8] [Citation(s) in RCA: 48] [Impact Index Per Article: 48.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/19/2023]
Abstract
Diabetes management relies on effective evidence-based advice that informs and empowers individuals to manage their health. Alongside other cornerstones of diabetes management, dietary advice has the potential to improve glycaemic levels, reduce risk of diabetes complications and improve health-related quality of life. We have updated the 2004 recommendations for the nutritional management of diabetes to provide health professionals with evidence-based guidelines to inform discussions with patients on diabetes management, including type 2 diabetes prevention and remission. To provide this update we commissioned new systematic reviews and meta-analyses on key topics, and drew on the broader evidence available. We have strengthened and expanded on the previous recommendations to include advice relating to dietary patterns, environmental sustainability, food processing, patient support and remission of type 2 diabetes. We have used the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) approach to determine the certainty of evidence for each recommendation based on findings from the commissioned and identified systematic reviews. Our findings indicate that a range of foods and dietary patterns are suitable for diabetes management, with key recommendations for people with diabetes being largely similar for those for the general population. Important messages are to consume minimally processed plant foods, such as whole grains, vegetables, whole fruit, legumes, nuts, seeds and non-hydrogenated non-tropical vegetable oils, while minimising the consumption of red and processed meats, sodium, sugar-sweetened beverages and refined grains. The updated recommendations reflect the current evidence base and, if adhered to, will improve patient outcomes.
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Forouhi NG. Embracing complexity: making sense of diet, nutrition, obesity and type 2 diabetes. Diabetologia 2023; 66:786-799. [PMID: 36786838 PMCID: PMC9925928 DOI: 10.1007/s00125-023-05873-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 12/13/2022] [Indexed: 02/15/2023]
Abstract
Nutrition therapy has been emphasised for decades for people with type 2 diabetes, and the vital importance of diet and nutrition is now also recognised for type 2 diabetes prevention. However, the complexity of diet and mixed messages on what is unhealthy, healthy or optimal have led to confusion among people with diabetes and their physicians as well as the general public. What should people eat for the prevention, management and remission of type 2 diabetes? Recently, progress has been made in research evidence that has advanced our understanding in several areas of past uncertainty. This article examines some of these issues, focusing on the role of diet in weight management and in the prevention and management of type 2 diabetes. It considers nutritional strategies including low-energy, low-fat and low-carbohydrate diets, discusses inter-relationships between nutrients, foods and dietary patterns, and examines aspects of quantity and quality together with new developments, challenges and future directions.
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Affiliation(s)
- Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK.
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Gregg EW, Buckley J, Ali MK, Davies J, Flood D, Mehta R, Griffiths B, Lim LL, Manne-Goehler J, Pearson-Stuttard J, Tandon N, Roglic G, Slama S, Shaw JE. Improving health outcomes of people with diabetes: target setting for the WHO Global Diabetes Compact. Lancet 2023; 401:1302-1312. [PMID: 36931289 PMCID: PMC10420388 DOI: 10.1016/s0140-6736(23)00001-6] [Citation(s) in RCA: 59] [Impact Index Per Article: 59.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Revised: 09/17/2022] [Accepted: 12/20/2022] [Indexed: 03/15/2023]
Abstract
The Global Diabetes Compact is a WHO-driven initiative uniting stakeholders around goals of reducing diabetes risk and ensuring that people with diabetes have equitable access to comprehensive, affordable care and prevention. In this report we describe the development and scientific basis for key health metrics, coverage, and treatment targets accompanying the Compact. We considered metrics across four domains: factors at a structural, system, or policy level; processes of care; behaviours and biomarkers such as glycated haemoglobin (HbA1c); and health events and outcomes; and three risk tiers (diagnosed diabetes, high risk, or whole population), and reviewed and prioritised them according to their health importance, modifiability, data availability, and global inequality. We reviewed the global distribution of each metric to set targets for future attainment. This process led to five core national metrics and target levels for UN member states: (1) of all people with diabetes, at least 80% have been clinically diagnosed; and, for people with diagnosed diabetes, (2) 80% have HbA1c concentrations below 8·0% (63·9 mmol/mol); (3) 80% have blood pressure lower than 140/90 mm Hg; (4) at least 60% of people 40 years or older are receiving therapy with statins; and (5) each person with type 1 diabetes has continuous access to insulin, blood glucose meters, and test strips. We also propose several complementary metrics that currently have limited global coverage, but warrant scale-up in population-based surveillance systems. These include estimation of cause-specific mortality, and incidence of end-stage kidney disease, lower-extremity amputations, and incidence of diabetes. Primary prevention of diabetes and integrated care to prevent long-term complications remain important areas for the development of new metrics and targets. These metrics and targets are intended to drive multisectoral action applied to individuals, health systems, policies, and national health-care access to achieve the goals of the Global Diabetes Compact. Although ambitious, their achievement can result in broad health benefits for people with diabetes.
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Affiliation(s)
- Edward W Gregg
- School of Population Health, RCSI, University of Medicine and Health Sciences, Dublin, Ireland; School of Public Health, Imperial College London, London, UK.
| | - James Buckley
- School of Public Health, Imperial College London, London, UK
| | - Mohammed K Ali
- Hubert Department of Global Health and Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA, USA
| | - Justine Davies
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK; MRC/Wits Rural Public Health and Health Transitions Research Unit, Faculty of Health Sciences, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa; Centre for Global Surgery, Department of Global Health, Stellenbosch University, Cape Town, South Africa
| | - David Flood
- Department of Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Roopa Mehta
- Unidad de Investigacion en Enfermedades Metabolicas, Instituto Nacional de Ciencias, Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Ben Griffiths
- School of Public Health, Imperial College London, London, UK
| | - Lee-Ling Lim
- Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia; Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | | | - Jonathan Pearson-Stuttard
- School of Public Health, Imperial College London, London, UK; Health Analytics, Lane Clark & Peacock, London, UK
| | - Nikhil Tandon
- All India Institute of Medical Sciences, New Delhi, India
| | - Gojka Roglic
- Department of Noncommunicable Diseases, WHO, Geneva, Switzerland
| | - Slim Slama
- Department of Noncommunicable Diseases, WHO, Geneva, Switzerland
| | - Jonathan E Shaw
- Baker Heart and Diabetes Institute and School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
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Reeves D, Woodham AA, French D, Bower P, Holland F, Kontopantelis E, Cotterill S. The influence of demographic, health and psychosocial factors on patient uptake of the English NHS diabetes prevention programme. BMC Health Serv Res 2023; 23:352. [PMID: 37041541 PMCID: PMC10091609 DOI: 10.1186/s12913-023-09195-z] [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: 09/08/2022] [Accepted: 02/17/2023] [Indexed: 04/13/2023] Open
Abstract
BACKGROUND The prevention of type 2 diabetes (T2DM) is a major concern for health services around the world. The English NHS Diabetes Prevention Programme (NHS-DPP) offers a group face-to-face behaviour change intervention, based around exercise and diet, to adults with non-diabetic hyperglycaemia (NDH), referred from primary care. Previous analysis of the first 100,000 referrals revealed just over half of those referred to the NHS-DPP took up a place. This study aimed to identify the demographic, health and psychosocial factors associated with NHS-DPP uptake to help inform the development of interventions to improve uptake and address inequities between population groups. METHODS Drawing on the Behavioral Model of Health Services Utilization we developed a survey questionnaire to collect data on a wide range of demographic, health and psychosocial factors that might influence uptake of the NHS-DPP. We distributed this questionnaire to a cross-sectional random sample of 597 patients referred to the NHS-DPP across 17 general practices, chosen for variation. Multivariable regression analysis was used to identify factors associated with NHS-DPP uptake. RESULTS 325 out of 597 questionnaires were completed (54%). Only a third of responders took up the offer of a place. The best performing model for uptake (AUC = 0.78) consisted of four factors: older age; beliefs concerning personal vulnerability to T2DM; self-efficacy for reducing T2DM risk; and the efficacy of the NHS-DPP. After accounting for these, demographic and health-related factors played only a minor role. CONCLUSION Unlike fixed demographic characteristics, psychosocial perceptions may be amenable to change. NHS-DPP uptake rates may be improved by targeting the beliefs of patients about their risk of developing T2DM, their ability to carry out and sustain behaviours to reduce this risk, and the efficacy of the NHS-DPP in providing the necessary understanding and skills required. The recently introduced digital version of the NHS DPP could help address the even lower uptake amongst younger adults. Such changes could facilitate proportional access from across different demographic strata.
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Affiliation(s)
- David Reeves
- National Institute for Health Research School for Primary Care Research, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
- Centre for Biostatistics, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
| | - Adrine Ablitt Woodham
- National Institute for Health Research School for Primary Care Research, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - David French
- Manchester Centre for Health Psychology, Division of Psychology & Mental Health, School of Health Sciences, University of Manchester, Manchester, UK
| | - Peter Bower
- Centre for Primary Care and Health Services Research, School of Health Sciences, NIHR ARC Greater Manchester, The University of Manchester, Manchester, UK
| | - Fiona Holland
- National Institute for Health Research School for Primary Care Research, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
- Centre for Biostatistics, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Evangelos Kontopantelis
- National Institute for Health Research School for Primary Care Research, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Sarah Cotterill
- Centre for Biostatistics, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
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Yang J, Xia Y, Sun Y, Guo Y, Shi Z, Cristina do Vale Moreira N, Zuo H, Hussain A. Effect of lifestyle intervention on HbA1c levels in overweight and obese adults with type 2 diabetes across ethnicities: A systematic review and meta-analysis of randomized controlled trials. Diabetes Res Clin Pract 2023; 199:110662. [PMID: 37028602 DOI: 10.1016/j.diabres.2023.110662] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 03/31/2023] [Indexed: 04/09/2023]
Abstract
AIMS Weight reduction is fundamental for the management and remission of diabetes. We aimed to assess ethnic differences in the effects of lifestyle weight-loss interventions on HbA1c levels in overweight or obese adults with type 2 diabetes mellitus (T2DM). METHODS We systematically searched PubMed/MEDLINE and Web of Science online databases up to 31 Dec 2022. Randomized controlled trials using lifestyle weight-loss interventions in overweight or obese adults with T2DM were selected. We performed subgroup analyses to explore the heterogeneity across different ethnicities (Asians, White/Caucasians, Black/Africans and Hispanics). A random effects model was applied to calculate weighted mean difference (WMD) with 95% confidence interval (CI). RESULTS Thirty studies including 7580 subjects from different ethnicities were identified according to the predefined inclusion and exclusion criteria. HbA1c levels were significantly reduced by lifestyle weight-loss intervention. Notably, a significantly beneficial effect on HbA1c was observed in White/Caucasians (WMD = -0.59, 95% CI: -0.90, -0.28, P < 0.001) and Asians (WMD = -0.48, 95% CI: -0.63, -0.33, P < 0.001), but not in the Black/African or Hispanic group (both P > 0.05). The findings remained essentially unchanged in the sensitivity analysis. CONCLUSIONS Lifestyle weight-loss interventions had distinct beneficial effects on HbA1c levels in different ethnic groups with T2DM, especially in Caucasians and Asians.
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Affiliation(s)
- Jie Yang
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
| | - Yujia Xia
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
| | - Yanan Sun
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
| | - Yufei Guo
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
| | - Zumin Shi
- Department of Human Nutrition, College of Health Sciences, QU Health, Qatar University, Qatar
| | | | - Hui Zuo
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou Medical College of Soochow University, Suzhou, China.
| | - Akhtar Hussain
- Faculty of Health Sciences, NORD University, Bodø, Norway; Faculty of Medicine, Federal University of Ceará (FAMED-UFC), Brazil; International Diabetes Federation. 166 Chaussee de La Hulpe B-1170, Brussels, Belgium.
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Haseldine C, O'Donoghue G, Kearney PM, Riordan F, Cotterill S, McHugh S. Healthcare workers’ perspectives on barriers and facilitators to referral and recruitment to diabetes prevention programmes: a systematic review protocol. HRB Open Res 2023. [DOI: 10.12688/hrbopenres.13702.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/08/2023] Open
Abstract
Background: Diabetes is a growing global health problem. International guidelines recommend identification, screening, and referral to behavioural programmes for those at high risk of developing type 2 diabetes. Diabetes prevention programmes (DPPs) can prevent type 2 diabetes in those at high risk, however many eligible participants are not referred to these programmes. Healthcare workers (HCWs) are pivotal to the referral and recruitment processes. This study aims to identify, appraise and synthesise the evidence on barriers and facilitators to referral and recruitment to DPPs from the perspective of HCWs. Methods: A “best fit” framework synthesis method will synthesise qualitative, quantitative, and mixed methods evidence on factors that affect HCWs referral and recruitment to DPPs, with the Theoretical Domains Framework (TDF) as the a priori framework. MEDLINE, EMBASE, CINAHL, PsychINFO, Web of Science and Scopus will be searched for primary studies published in English. Year of publication will be restricted to the last 25 years (1997–2022). Quality will be assessed using the Mixed Methods Appraisal Tool. A mix of deductive coding using the TDF and inductive coding of data that does not fit the TDF will be synthesised into themes representing the whole dataset. The relationships between the final set of themes will be explored to create a new model to understand HCWs’ perspectives on referral and recruitment to DPPs. Sensitivity analysis will be carried out this conceptual model. Confidence in the synthesised findings will be assessed using the GRADE-CERQual approach. One author will screen, extract, appraise the literature while a second author will independently verify a 20% sample at each stage. Discussion: Participation in DPPs is key for programme impact. HCWs typically identify those at risk and refer them to DPPs. Understanding HCWs’ perspectives of the barriers and facilitators to referral and recruitment will inform future implementation of DPPs.
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Golovaty I, Ritchie ND, Tuomilehto J, Mohan V, Ali MK, Gregg EW, Bergman M, Moin T. Two decades of diabetes prevention efforts: A call to innovate and revitalize our approach to lifestyle change. Diabetes Res Clin Pract 2023; 198:110195. [PMID: 36470316 PMCID: PMC10079599 DOI: 10.1016/j.diabres.2022.110195] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 11/07/2022] [Accepted: 11/28/2022] [Indexed: 12/12/2022]
Abstract
The impact of global diabetes prevention efforts has been modest despite the promise of landmark diabetes prevention trials nearly twenty years ago. While national and regional initiatives show potential, challenges remain to adapt large-scale strategies in the real-world that fits individuals and their communities. Additionally, the sedentary lifestyle changes during the COVID-19 pandemic and guidelines that now call for earlier screening (e.g., US Preventative Task Force) will increase the pool of eligible adults worldwide. Thus, a more adaptable, person-centered approach that expands the current toolkit is urgently needed to innovate and revitalize our approach to diabetes prevention. This review identifies key priorities to optimize the population-level delivery of diabetes prevention based on a consensus-based evaluation of the current evidence among experts in global translational programs; key priorities identified include (1) participant eligibility, (2) intervention intensity, (3) delivery components, (4) behavioral economics, (5) technology, and (6) the role of pharmacotherapy. We offer a conceptual framework for a broader, person-centered approach to better address an individual's risk, readiness, barriers, and digital competency.
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Affiliation(s)
- Ilya Golovaty
- Division of General Internal Medicine, University of Washington School of Medicine, Seattle, WA, USA; General Medicine Service, VA Puget Sound Health Care System, Seattle, WA, USA.
| | - Natalie D Ritchie
- Office of Research, Denver Health and Hospital Authority, Denver, CO. Department of Psychiatry, University of Colorado School of Medicine, Aurora, CO. University of Colorado College of Nursing, Aurora, CO, USA
| | - Jaakko Tuomilehto
- Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland; Department of Public Health, University of Helsinki, Helsinki, Finland; Saudi Diabetes Research Group, King Abdulaziz University Jeddah, Saudi Arabia; Department of International Health, National School of Public Health, Instituto de Salud Carlos III. Madrid, Spain
| | - Viswanathan Mohan
- Madras Diabetes Research Foundation & Chairman, Dr. Mohan's Diabetes Specialties Centre, Chennai, India
| | - Mohammed K Ali
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA; Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA, USA; Division of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Edward W Gregg
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Michael Bergman
- Division of Endocrinology and Metabolism, Department of Medicine and of Population Health, New York University Grossman School of Medicine, New York, NY, USA
| | - Tannaz Moin
- David Geffen School of Medicine, University of California, Los Angeles, CA, USA; VA Greater Los Angeles Health System and HSR&D Center for the Study of Healthcare Innovation, Implementation & Policy, Los Angeles, CA, USA
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Kuang X, Shao X, Li H, Jiang D, Gao T, Yang J, Li K, Li D. Lipid extract from blue mussel (Mytilus edulis) improves glycemic traits in Chinese type 2 diabetic mellitus patients: a double-blind randomized controlled trial. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2023; 103:2970-2980. [PMID: 36409163 DOI: 10.1002/jsfa.12346] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 11/15/2022] [Accepted: 11/21/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Studies have shown that blue mussel lipid extract (BMLE) has strong anti-inflammatory activity in both rheumatoid arthritis patients and animal arthritis models. Chronic inflammation was closely related to type 2 diabetes mellitus (T2DM). Though the beneficial effects cannot be completely attributed to n-3 polyunsaturated fatty acids, the aim of this study was to investigate whether BMLE can improve glycemic traits of T2DM patients. METHOD In a double-blind randomized controlled trial, 133 Chinese T2DM participants were randomized to either fish oil (FO, n = 44), BMLE (n = 44), or corn oil (CO, n = 45) groups for 60 days. The participants were asked to take the corresponding oil capsules (two capsules per day, 0.8 g per capsule), which provided 1.6 g day-1 of FO (29.9% eicosapentaenoic acid + 20.4% docosahexaenoic acid), BMLE (20.7% eicosapentaenoic acid + 26.7% docosahexaenoic acid), or CO (53.5% linoleic acid). RESULTS The fasting serum concentration of insulin (P = 0.005) and the homeostasis model of insulin resistance (P = 0.026) were significantly decreased in the BMLE group, whereas no significant change was found in the FO or CO groups. There was no significant difference between groups on serum glycosylated hemoglobin. Tumor necrosis factor-α was significantly decreased in the BMLE group (P = 0.003), but not in the FO or CO groups. A significant decrease of interleukin-1β was observed in the BMLE and CO groups (P = 0.004 and P = 0.011 respectively), but not in the FO group. The total cholesterol was significantly decreased in the BMLE and CO groups (P < 0.001 and P < 0.001 respectively), but not in the FO group. Triacylglycerol was significantly decreased in the BMLE group (P = 0.007), but not in the FO or CO groups. High-density lipoprotein cholesterol was significantly lower in the BMLE and CO groups than in the FO group (P = 0.003). CONCLUSION Blue mussel lipid supplements improved glycemic traits, inflammatory cytokines, and lipids profile in Chinese T2DM patients (Chinese Clinical Trial Registration number: ChiCTR1900025617). © 2022 Society of Chemical Industry.
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Affiliation(s)
- Xiaotong Kuang
- Institute of Nutrition and Health, Qingdao University, Qingdao, China
- School of Public Health, Qingdao University, Qingdao, China
| | - Xianfeng Shao
- Institute of Nutrition and Health, Qingdao University, Qingdao, China
- School of Public Health, Qingdao University, Qingdao, China
| | - Huiying Li
- Institute of Nutrition and Health, Qingdao University, Qingdao, China
- School of Public Health, Qingdao University, Qingdao, China
| | - Dongmei Jiang
- Health Service Center of Lingzhushan Community, Qingdao, China
| | - Tianlin Gao
- Institute of Nutrition and Health, Qingdao University, Qingdao, China
- School of Public Health, Qingdao University, Qingdao, China
| | - Jie Yang
- Health Service Center of Xinan Community, Qingdao, China
| | - Kelei Li
- Institute of Nutrition and Health, Qingdao University, Qingdao, China
- School of Public Health, Qingdao University, Qingdao, China
| | - Duo Li
- Institute of Nutrition and Health, Qingdao University, Qingdao, China
- School of Public Health, Qingdao University, Qingdao, China
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Marsden AM, Hann M, Barron E, Ross J, Valabhji J, Murray E, Cotterill S. Comparison of weight change between face-to-face and digital delivery of the English National Health service diabetes prevention programme: An exploratory non-inferiority study with imputation of plausible weight outcomes. Prev Med Rep 2023; 32:102161. [PMID: 36926593 PMCID: PMC10011422 DOI: 10.1016/j.pmedr.2023.102161] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 02/17/2023] [Accepted: 02/19/2023] [Indexed: 02/22/2023] Open
Abstract
Worldwide evidence suggests face-to-face diabetes prevention programmes are effective in preventing and delaying the onset of type 2 diabetes by encouraging behaviour change towards weight loss, healthy eating, and increased exercise. There is an absence of evidence on whether digital delivery is as effective as face-to-face. During 2017-18 patients in England were offered the National Health Service Diabetes Prevention Programme as group-based face-to-face delivery, digital delivery ('digital-only') or a choice between digital and face-to-face ('digital-choice'). The contemporaneous delivery allowed for a robust non-inferiority study, comparing face-to-face with digital only and digital choice cohorts. Changes in weight at 6 months were missing for around half of participants. Here we take a novel approach, estimating the average effect in all 65,741 individuals who enrolled in the programme, by making a range of plausible assumptions about weight change in individuals who did not provide outcome data. The benefit of this approach is that it includes everyone who enrolled in the programme, not restricted to those who completed. We analysed the data using multiple linear regression models. Under all scenarios explored, enrolment in the digital diabetes prevention programme was associated with clinically significant reductions in weight which were at least equivalent to weight loss in the face-to-face programme. Digital services can be just as effective as face-to-face in delivering a population-based approach to the prevention of type 2 diabetes. Imputation of plausible outcomes is a feasible methodological approach, suitable for analysis of routine data in settings where outcomes are missing for non-attenders.
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Key Words
- (BMI), Body Mass Index
- CCG, Clinical Commissioning Group
- CI, Confidence interval
- Cohort studies
- DIPLOMA, Diabetes Prevention – Long Term Multimethod Assessment
- Diabetes mellitus, Type 2
- Diet, healthy
- FPG, Fasting Blood Glucose (a test for diagnosing diabetes and the risk of diabetes)
- HbA1c, Haemoglobin A1c (a test for diagnosing diabetes and the risk of diabetes)
- IMD, Index of Multiple deprivation
- Method for dealing with missing data
- NHS DPP, National Health Service Diabetes Prevention Programme
- National health programs
- Non-inferiority
- Preventive health services
- STP, Sustainability and Transformation Partnership
- Self-management
- Weight loss
- eHealth: Telemedicine
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Affiliation(s)
- Antonia M. Marsden
- Centre for Biostatistics, School of Health Sciences, University of Manchester, Oxford Road, Manchester M13 9PL, UK
| | - Mark Hann
- Centre for Primary Care and Health Services Research, School of Health Sciences, University of Manchester, Oxford Road, Manchester M13 9PL, UK
| | | | - Jamie Ross
- Centre for Primary Care, Wolfson Institute of Population Health Science, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AD, UK
| | - Jonathan Valabhji
- NHS England, London SE1 6LH, UK
- Imperial College Healthcare NHS Trust, The Bays, S Wharf Rd, London W2 1NY, UK
- Imperial College London, Exhibition Rd, South Kensington, London SW7 2BX, UK
| | - Elizabeth Murray
- Research Department of Primary Care and Population Health, University College London, Royal Free Campus, Pond Street, London NW3 2PF, UK
| | - Sarah Cotterill
- Centre for Biostatistics, School of Health Sciences, University of Manchester, Oxford Road, Manchester M13 9PL, UK
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Chattopadhyay K, Mishra P, Singh K, Singh K, Harris T, Hamer M, Greenfield SM, Manjunath NK, Nair R, Mukherjee S, Tandon N, Lewis SA, Kinra S, Prabhakaran D. Yoga Programme for Type 2 Diabetes Prevention (YOGA-DP) Among High-Risk People in India: A Multicenter Feasibility Randomized Controlled Trial. Diabetes Ther 2023:10.1007/s13300-023-01395-4. [PMID: 37002475 PMCID: PMC10066010 DOI: 10.1007/s13300-023-01395-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Accepted: 03/08/2023] [Indexed: 04/03/2023] Open
Abstract
INTRODUCTION Many Indians are at high risk of type 2 diabetes mellitus (T2DM). The blood glucose level can be improved through a healthy lifestyle (such as physical activity and a healthy diet). Yoga can help in T2DM prevention, being a culturally appropriate approach to improving lifestyle. We developed the Yoga Programme for T2DM Prevention (YOGA-DP), a 24-week structured lifestyle education and exercise (Yoga) program that included 27 group Yoga sessions and self-practice of Yoga at home. In this study, the feasibility of undertaking a definitive randomized controlled trial (RCT) was explored that will evaluate the intervention's effectiveness among high-risk individuals in India. METHODS A multicenter, two-arm, parallel-group, feasibility RCT was conducted in India. The outcome assessors and data analysts were blinded. Adults with a fasting blood glucose level of 100-125 mg/dL (i.e., at high risk of T2DM) were eligible. Participants were randomized centrally using a computer-generated randomization schedule. In the intervention group, participants received YOGA-DP. In the control group, participants received enhanced standard care. RESULTS In this feasibility trial, the recruitment of participants took 4 months (from May to September 2019). We screened 711 people and assessed 160 for eligibility. Sixty-five participants (33 in the intervention group and 32 in the control group) were randomized, and 57 (88%) participants were followed up for 6 months (32 in the intervention group and 25 in the control group). In the intervention group, the group Yoga sessions were continuously attended by 32 (97%) participants (median (interquartile range, IQR) number of sessions attended = 27 (3)). In the intervention group, Yoga was self-practiced at home by 30 (91%) participants (median (IQR) number of days per week and minutes per day self-practiced = 2 (2) and 35 (15), respectively). In the control group, one (3%) participant attended external Yoga sessions (on Pranayama) for 1 week during the feasibility trial period. There was no serious adverse event. CONCLUSIONS The participant recruitment and follow-up and adherence to the intervention were promising in this feasibility study. In the control group, the potential contamination was low. Therefore, it should be feasible to undertake a definitive RCT in the future that will evaluate YOGA-DP's effectiveness among high-risk people in India. FEASIBILITY TRIAL REGISTRATION Clinical Trials Registry-India (CTRI) CTRI/2019/05/018893; registered on May 1, 2019.
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Affiliation(s)
- Kaushik Chattopadhyay
- Lifespan and Population Health Academic Unit, University of Nottingham, Nottingham, UK.
| | | | - Kavita Singh
- Centre for Chronic Disease Control, New Delhi, India
| | - Kalpana Singh
- Centre for Chronic Disease Control, New Delhi, India
| | - Tess Harris
- Population Health Research Institute, St. George's University of London, London, UK
| | - Mark Hamer
- Division of Surgery and Interventional Science, Institute of Sport, Exercise and Health, University College London, London, UK
| | | | | | - Rukamani Nair
- Bapu Nature Cure Hospital and Yogashram, New Delhi, India
| | | | - Nikhil Tandon
- Department of Endocrinology, Metabolism and Diabetes, All India Institute of Medical Sciences, New Delhi, India
| | - Sarah Anne Lewis
- Lifespan and Population Health Academic Unit, University of Nottingham, Nottingham, UK
| | - Sanjay Kinra
- Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
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Chrysohoou C, Fragoulis C, Leontsinis I, Gastouniotis I, Fragouli D, Georgopoulos M, Mantzouranis E, Noutsou M, Tsioufis KP. Cardiometabolic Care: Assessing Patients with Diabetes Mellitus with No Overt Cardiovascular Disease in the Light of Heart Failure Development Risk. Nutrients 2023; 15:1384. [PMID: 36986114 PMCID: PMC10056430 DOI: 10.3390/nu15061384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Revised: 03/02/2023] [Accepted: 03/10/2023] [Indexed: 03/16/2023] Open
Abstract
The mechanisms leading to the development of heart failure (HF) in diabetes mellitus (DM) patients are multifactorial. Assessing the risk of HF development in patients with DM is valuable not only for the identification of a high-risk subgroup, but also equally important for defining low-risk subpopulations. Nowadays, DM and HF have been recognized as sharing similar metabolic pathways. Moreover, the clinical manifestation of HF can be independent of LVEF classification. Consequently, approaching HF should be through structural, hemodynamic and functional evaluation. Thus, both imaging parameters and biomarkers are important tools for the recognition of diabetic patients at risk of HF manifestation and HF phenotypes, and arrhythmogenic risk, and eventually for prognosis, aiming to improve patients' outcomes utilizing drugs and non-pharmaceutical cardioprotective tools such as diet modification.
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Affiliation(s)
- Christina Chrysohoou
- 1st Cardiology Clinic, Hippokration Hospital, National and Kapodistrian University of Athens, 11528 Attica, Greece
| | - Christos Fragoulis
- 1st Cardiology Clinic, Hippokration Hospital, National and Kapodistrian University of Athens, 11528 Attica, Greece
| | - Ioannis Leontsinis
- 1st Cardiology Clinic, Hippokration Hospital, National and Kapodistrian University of Athens, 11528 Attica, Greece
| | - Ioannis Gastouniotis
- 1st Cardiology Clinic, Hippokration Hospital, National and Kapodistrian University of Athens, 11528 Attica, Greece
| | - Dimitra Fragouli
- 1st Cardiology Clinic, Hippokration Hospital, National and Kapodistrian University of Athens, 11528 Attica, Greece
| | - Maximos Georgopoulos
- 1st Cardiology Clinic, Hippokration Hospital, National and Kapodistrian University of Athens, 11528 Attica, Greece
| | - Emmanouil Mantzouranis
- 1st Cardiology Clinic, Hippokration Hospital, National and Kapodistrian University of Athens, 11528 Attica, Greece
| | - Marina Noutsou
- Diabetes Center, 2nd Department of Internal Medicine, Medical School, National and Kapodistrian University of Athens, Hippokration General Hospital of Athens, 11528 Athens, Greece
| | - Konstantinos P. Tsioufis
- 1st Cardiology Clinic, Hippokration Hospital, National and Kapodistrian University of Athens, 11528 Attica, Greece
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50
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Gabriel R, Boukichou-Abdelkader N, Gilis-Januszewska A, Makrilakis K, Gómez-Huelgas R, Kamenov Z, Paulweber B, Satman I, Djordjevic P, Alkandari A, Mitrakou A, Lalic N, Egido J, Más-Fontao S, Calvet JH, Pastor JC, Lindström J, Lind M, Acosta T, Silva L, Tuomilehto J. Reduction in the Risk of Peripheral Neuropathy and Lower Decrease in Kidney Function with Metformin, Linagliptin or Their Fixed-Dose Combination Compared to Placebo in Prediabetes: A Randomized Controlled Trial. J Clin Med 2023; 12:jcm12052035. [PMID: 36902821 PMCID: PMC10004435 DOI: 10.3390/jcm12052035] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 02/18/2023] [Accepted: 02/27/2023] [Indexed: 03/08/2023] Open
Abstract
OBJECTIVE To compare the effect of glucose-lowering drugs on peripheral nerve and kidney function in prediabetes. METHODS Multicenter, randomized, placebo-controlled trial in 658 adults with prediabetes treated for 1 year with metformin, linagliptin, their combination or placebo. Endpoints are small fiber peripheral neuropathy (SFPN) risk estimated by foot electrochemical skin conductance (FESC < 70 μSiemens) and estimated glomerular filtration rate (eGFR). RESULTS Compared to the placebo, the proportion of SFPN was reduced by 25.1% (95% CI:16.3-33.9) with metformin alone, by 17.3% (95% CI 7.4-27.2) with linagliptin alone, and by 19.5% (95% CI 10.1-29.0) with the combination linagliptin/metformin (p < 0.0001 for all comparisons). eGFR remained +3.3 mL/min (95% CI: 0.38-6.22) higher with the combination linagliptin/metformin than with the placebo (p = 0.03). Fasting plasma glucose (FPG) decreased more with metformin monotherapy -0.3 mmol/L (95%CI: -0.48; 0.12, p = 0.0009) and with the combination metformin/linagliptin -0.2 mmol/L (95% CI: -0.37; -0.03) than with the placebo (p = 0.0219). Body weight (BW) decreased by -2.0 kg (95% CI: -5.65; -1.65, p = 0.0006) with metformin monotherapy, and by -1.9 kg (95% CI: -3.02; -0.97) with the combination metformin/linagliptin as compared to the placebo (p = 0.0002). CONCLUSIONS in people with prediabetes, a 1 year treatment with metformin and linagliptin, combined or in monotherapy, was associated with a lower risk of SFPN, and with a lower decrease in eGFR, than treatment with placebo.
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Affiliation(s)
- Rafael Gabriel
- Departamento de Salud Internacional, Escuela Nacional de Sanidad, Instituto de Salud Carlos III, 28029 Madrid, Spain
- World Community for Prevention of Diabetes Foundation (WCPD), 28001 Madrid, Spain
- Asociación para la Investigación y Prevención de la Diabetes y Enfermedades Cardiovasculares (PREDICOR), 28001 Madrid, Spain
- Correspondence:
| | - Nisa Boukichou-Abdelkader
- Asociación para la Investigación y Prevención de la Diabetes y Enfermedades Cardiovasculares (PREDICOR), 28001 Madrid, Spain
- EVIDEM CONSULTORES, 28030 Madrid, Spain
| | | | | | - Ricardo Gómez-Huelgas
- Internal Medicine Department, Regional University Hospital of Málaga, Biomedical Research Institute of Málaga (IBIMA), University of Málaga (UMA), 29018 Málaga, Spain
| | - Zdravko Kamenov
- Clinic of Endocrinology, University Multi-Profile Hospital for Active Treatment Alexandrovska EAD, Medical University of Sofia, 1431 Sofia, Bulgaria
| | - Bernhard Paulweber
- Gemeinnuetzige Salzburger Landeskliniken Betriebsgesellschaft (SALK), 5020 Salzburg, Austria
| | - Ilhan Satman
- Division of Endocrinology & Metabolism, Department of Internal Medicine, Istanbul University, 34093 Istanbul, Turkey
| | | | | | | | - Nebojsa Lalic
- Faculty of Medicine, University of Belgrade, 11000 Belgrade, Serbia
| | - Jesús Egido
- Renal, Vascular and Diabetes Research Laboratory, Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Instituto de Investigación Sanitaria Fundación Jiménez Díaz, Universidad Autónoma, 28040 Madrid, Spain
| | - Sebastián Más-Fontao
- Renal, Vascular and Diabetes Research Laboratory, Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Instituto de Investigación Sanitaria Fundación Jiménez Díaz, Universidad Autónoma, 28040 Madrid, Spain
| | | | - José Carlos Pastor
- Instituto Universitario de Oftalmobiología Aplicada (IOBA), Hospital Clínico Universitario, Universidad de Valladolid, 47011 Valladolid, Spain
| | - Jaana Lindström
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, 00271 Helsinki, Finland
| | - Marcus Lind
- Department of Molecular and Clinical Medicine, University of Gothenburg, 413 45 Gothenburg, Sweden
- Department of Medicine, NU-Hospital Group, 451 53 Uddevalla, Sweden
- Department of Internal Medicine, Sahlgrenska University Hospital, 413 45 Gothenburg, Sweden
| | - Tania Acosta
- Department of Public Health, Universidad del Norte, Barranquilla 080001, Colombia
| | | | - Jaakko Tuomilehto
- Departamento de Salud Internacional, Escuela Nacional de Sanidad, Instituto de Salud Carlos III, 28029 Madrid, Spain
- World Community for Prevention of Diabetes Foundation (WCPD), 28001 Madrid, Spain
- Asociación para la Investigación y Prevención de la Diabetes y Enfermedades Cardiovasculares (PREDICOR), 28001 Madrid, Spain
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, 00271 Helsinki, Finland
- Department of Public Health, University of Helsinki, 00014 Helsinki, Finland
- Diabetes Research Group, King Abdulaziz University, Jeddah 21589, Saudi Arabia
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