1
|
Knowler WC, Doherty L, Edelstein SL, Bennett PH, Dabelea D, Hoskin M, Kahn SE, Kalyani RR, Kim C, Pi-Sunyer FX, Raghavan S, Shah VO, Temprosa M, Venditti EM, Nathan DM. Long-term effects and effect heterogeneity of lifestyle and metformin interventions on type 2 diabetes incidence over 21 years in the US Diabetes Prevention Program randomised clinical trial. Lancet Diabetes Endocrinol 2025:S2213-8587(25)00022-1. [PMID: 40311647 DOI: 10.1016/s2213-8587(25)00022-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2024] [Revised: 01/16/2025] [Accepted: 01/17/2025] [Indexed: 05/03/2025]
Abstract
BACKGROUND In the US Diabetes Prevention Program (DPP), a 3-year randomised clinical trial in 3234 adults with prediabetes, type 2 diabetes incidence was reduced by 58% with intensive lifestyle intervention (ILS) and by 31% with metformin, compared with placebo. We sought to assess the long-term effects and potential heterogeneity of treatment effects over approximately 21 years of follow-up. METHODS The DPP trial was continued with protocol modifications as the DPP Outcomes Study (DPPOS). In the DPPOS, placebo was discontinued, metformin (850 mg twice a day as tolerated) was continued after unmasking, and group-based booster intervention classes were offered to the ILS group twice a year; additionally, all participants were offered group-based lifestyle intervention four times a year. The prespecified primary outcome during DPP and DPPOS was diabetes incidence defined by American Diabetes Association criteria. The DPPOS protocol specified continued diabetes incidence as an outcome; Feb 23, 2020, was chosen as the closing date for the present analysis, as a date prior to the COVID-19 pandemic, which caused major disruptions in clinic visits and complicated longitudinal data analyses. We assessed long-term persistence of intervention effects on diabetes incidence, and heterogeneity of effects in subgroups defined by baseline diabetes risk factors. Follow-up is reported for the combined study from July 31, 1996, to Feb 23, 2020, and analysis was by intention to treat. The trial is registered with ClinicalTrials.gov, NCT00004992 (DPP) and NCT00038727 (DPPOS); follow-up is ongoing but the trial is closed to enrolment except for previous DPP participants. FINDINGS 3195 participants originally enrolled in the DPP were included in the present analyses. This population comprised 2171 (67·9%) female participants and 1024 (32·1%) male participants, with a mean baseline age of 50·6 years (SD 10·7). Individual follow-up times ranged from 0·2 to 23·2 years (median 8·0 years [IQR 3·0 to 18·0]); remaining numbers at risk decreased sharply after 21 years because of administrative censoring and thus follow-up was considered to represent a 21-year period. During follow-up, compared with placebo, diabetes incidence rate was reduced in the original ILS group (hazard ratio [HR] 0·76 [95% CI 0·68 to 0·85], rate difference [RD] -1·59 cases [95% CI -2·25 to -0·93] per 100 person-years) and in the original metformin group (HR 0·83 [0·74 to 0·93], RD -1·17 [-1·85 to -0·49]), with corresponding increases in median diabetes-free survival of 3·5 years and 2·5 years, and mean diabetes-free survival of 2·0 years (95% CI 1·2 to 2·8) and 1·2 years (0·4 to 2·0), respectively. The diabetes cumulative incidence curves separated early, especially in the first 3 years, with lower incidence rates in the metformin and ILS groups than in the placebo group. The metformin and ILS curves progressively converged with longer follow-up. The overall treatment effects appeared to result from large early effects during the DPP. Absolute intervention effects, measured as RDs versus placebo, were greater with ILS in participants with higher values for baseline fasting glucose, HbA1c, and multivariable clinical and physiological risk indices, and with metformin in younger participants. INTERPRETATION The large initial intervention effects seen in the DPP trial were followed by sustained reductions in cumulative diabetes incidence for 21 years. Intervention effects were heterogeneous according to some baseline variables. These findings could guide precision interventions to help address the current type 2 diabetes epidemic. FUNDING US National Institute of Diabetes and Digestive and Kidney Diseases and other agencies. TRANSLATION For the Spanish translation of the abstract see Supplementary Materials section.
Collapse
Affiliation(s)
- William C Knowler
- Biostatistics Center, Milken Institute School of Public Health, George Washington University, Rockville, MD, USA.
| | - Lindsay Doherty
- Biostatistics Center, Milken Institute School of Public Health, George Washington University, Rockville, MD, USA
| | - Sharon L Edelstein
- Biostatistics Center, Milken Institute School of Public Health, George Washington University, Rockville, MD, USA
| | - Peter H Bennett
- National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ, USA
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Mary Hoskin
- National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ, USA
| | - Steven E Kahn
- Department of Medicine, VA Puget Sound Health Care System and University of Washington, Seattle, WA, USA
| | - Rita R Kalyani
- Division of Endocrinology, Diabetes, and Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Catherine Kim
- Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA
| | - F Xavier Pi-Sunyer
- Departments of Medicine and Epidemiology, Columbia University Irving Medical Center, New York, NY, USA
| | - Sridharan Raghavan
- Department of Medicine, VA Eastern Colorado Health Care System and University of Colorado School of Medicine, Aurora, CO, USA
| | - Vallabh O Shah
- School of Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
| | - Marinella Temprosa
- Department of Biostatistics and Bioinformatics and Biostatistics Center, Milken Institute School of Public Health, George Washington University, Rockville, MD, USA
| | - Elizabeth M Venditti
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - David M Nathan
- Diabetes Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| |
Collapse
|
2
|
Panniyammakal J, Stanley A, Ismail S, Lekha TR, Ganapathi S, Harikrishnan S. Family-Based Interventions to Promote Weight Management in Adults: Results From a Cluster Randomized Controlled Trial in India. Ann Fam Med 2025; 23:93-99. [PMID: 40127979 PMCID: PMC11936353 DOI: 10.1370/afm.230632] [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: 12/05/2024] [Revised: 10/15/2024] [Accepted: 10/30/2024] [Indexed: 03/26/2025] Open
Abstract
BACKGROUND We evaluated the effectiveness of a structured family-based cardiovascular health promotion intervention model in improving weight management among adults. METHODS We conducted an open label, cluster randomized controlled trial (ClinicalTrials.gov NCT02771873) with families serving as the unit of intervention. Families were randomly assigned via computer-generated numbers to receive either the comprehensive package of interventions or enhanced usual care in a 1:1 ratio. Nonphysician health workers delivered the comprehensive package of interventions, which included annual screening for cardiovascular risk factors, structured lifestyle modification sessions, referral to a primary health care facility for individuals with established risk factors, and active follow-up to evaluate self-care adherence. Weight, body mass index (BMI), and waist circumference were measured at baseline, 1 year, and 2 years to assess the intervention's effect on weight management. We used a generalized estimating equation model to analyze the between-group population average changes in these anthropometric parameters. RESULTS In total, 1,671 participants (1,111 women) from 750 families participated. The mean age of the study population was 40.8 (SD = 14.2) years. The attrition rate at the 2-year follow-up was 3%. The adjusted population average change attributable to the intervention at the 2-year follow-up were -2.61 kg in weight (95% CI, -3.95 to -1.26; P <.001), -1.06 kg/m2 in BMI (95% CI, -1.55 to -0.58; P <.001), and -4.17 cm in waist circumference (95% CI, -5.38 to -2.96; P <.001). CONCLUSION The reduction in weight achieved in the family-based intervention could have a substantial public health impact in preventing future diabetes and other noncommunicable disease conditions.
Collapse
Affiliation(s)
- Jeemon Panniyammakal
- Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, India
| | - Antony Stanley
- Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, India
| | - Sunaib Ismail
- Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, India
| | - Thoniparambil R Lekha
- Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, India
| | - Sanjay Ganapathi
- Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, India
| | | |
Collapse
|
3
|
Ramachandran A, Nanditha A, Tuomilehto J, Gabriel R, Saboo B, Mohan V, Chawla M, Chawla P, Raghavan A, Gupta A, Joshi S, Agarwal S, Misra A, Sahay R, Tiwaskar MH, Azad Khan AK, Arvind SR, Viswanathan V, Das AK, Makkar BM, Kowlessur S, Yajnik CS, Sriram U, Seshadri KG, Susairaj P, Satheesh K, Duncan BB, Aschner P, Barengo NC, Schwarz PEH, Ceriello A. Call to action for clinicians in the South-East Asian regions on primary prevention of diabetes in people with prediabetes- A consensus statement. Diabetes Res Clin Pract 2025; 221:111997. [PMID: 39814235 DOI: 10.1016/j.diabres.2025.111997] [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] [Indexed: 01/18/2025]
Abstract
Primary prevention of diabetes still remains as an unmet challenge in a real world setting. While, translational programmes have been successful in the developed nations, the prevailing social and economic inequities in the low and middle income countries, fail to integrate diabetes prevention into their public health systems. The resulting exponential increase in the prevalence of diabetes and the cost of treatment has put primary prevention in the back seat. As a call to action, an expert group was formed to lay down practical guidelines for clinicians in the South East Asian regions to implement primary prevention programmes at an individual or at a community level. The guideline was developed based on the outcomes of the evidence based prevention programmes conducted in India. This decentralised self-guided approach for primary prevention of diabetes follows a three step implementation process of screening, diagnosis of intermediate hyperglycaemia and design and delivery of personalized interventions. Recommendations provided on dietary intake and physical activity can be tailored by the clinician to suit individual needs. Initiation of pharmacological treatment to achieve desired targets has also been addressed. A personalised approach by the clinician may be effective and offer a sustainable solution to curb the rising epidemic.
Collapse
Affiliation(s)
- Ambady Ramachandran
- India Diabetes Research Foundation and Dr.A. Ramachandran's Diabetes Hospitals, Chennai, Tamil Nadu, India.
| | - Arun Nanditha
- India Diabetes Research Foundation and Dr.A. Ramachandran's Diabetes Hospitals, Chennai, Tamil Nadu, India
| | - Jaakko Tuomilehto
- Population Health Unit, Finnish Institute for Health and Welfare, P.O. Box 30, 00271 Helsinki, Finland, Department of Public Health, University of Helsinki, 00014 Helsinki, Finland, World Community for Prevention of Diabetes Foundation (WCPD), Calle General Pardinas 64, 28001 Madrid, Spain
| | - Rafael Gabriel
- National School of Public Health, Instituto de Salud Carlos III, Madrid, Spain. World Community for Prevention of Diabetes Foundation (WCPD), Madrid, Spain
| | - Banshi Saboo
- Department of Diabetology, Dia Care Hormone Clinic, Ahmedabad, Gujarat, India
| | - Viswanathan Mohan
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, Chennai, Tamil Nadu, India
| | - Manoj Chawla
- Lina Diabetes Care and Mumbai Diabetes Research Centre, Mumbai, India
| | - Purvi Chawla
- Lina Diabetes Care and Mumbai Diabetes Research Centre, Mumbai, India
| | - Arun Raghavan
- India Diabetes Research Foundation and Dr.A. Ramachandran's Diabetes Hospitals, Chennai, Tamil Nadu, India
| | - Amit Gupta
- Centre for Diabetes Care, Greater Noida, Uttar Pradesh, India
| | - Shashank Joshi
- Department of Diabetology & Endocrinology, Lilavati Hospital and Research Centre, Mumbai, Maharashtra, India
| | - Sanjay Agarwal
- Department of Diabetes Care, Aegle Clinic; Department of Medicine and Diabetes, Ruby Hall Clinic, Pune, Maharashtra, India
| | - Anoop Misra
- Diabetes Foundation (India), New Delhi, India; National Diabetes, Obesity and Cholesterol Foundation (N-DOC), New Delhi, India; Fortis C-DOC Centre for Excellence for Diabetes, Metabolic Disease, and Endocrinology, New Delhi, India
| | - Rakesh Sahay
- Department of Endocrinology, Osmania Medical College, Hyderabad, Telengana, India
| | - Mangesh H Tiwaskar
- Department of Diabetology, Shilpa Medical Research Centre, Mumbai, Maharashtra, India
| | - A K Azad Khan
- Department of Public Health, Bangladesh University of Health Sciences, Dhaka, Bangladesh
| | - S R Arvind
- Department of Medicine, Diacon Hospital, Bengaluru, Karnataka, India
| | - Vijay Viswanathan
- MV Hospital for Diabetes and Prof M Viswanathan Diabetes Research Center, Chennai, Tamil Nadu, India
| | - Ashok Kumar Das
- Professor of Medicine, Mahatma Gandhi Medical College and Research Institute; Dean Academic, Sri Balaji Vidyapeeth, Pondicherry, India
| | - Brij Mohan Makkar
- Department of Diabetology, Dr Makkar's Diabetes and Obesity Centre, New Delhi, India
| | - Sudhirsen Kowlessur
- Health Promotion and Research Unit, Ministry of Health and Wellness, Port Louis 11321, Mauritius
| | - Chittaranjan S Yajnik
- Diabetes Unit, King Edward Memorial Hospital and Research Centre, Pune, Maharashtra, India
| | - Usha Sriram
- Department of Diabetes, Endocrinology and Women's health, Voluntary Health Services SH 49A, Chennai, Tamil Nadu, India
| | | | - Priscilla Susairaj
- India Diabetes Research Foundation and Dr.A. Ramachandran's Diabetes Hospitals, Chennai, Tamil Nadu, India
| | - Krishnamoorthy Satheesh
- India Diabetes Research Foundation and Dr.A. Ramachandran's Diabetes Hospitals, Chennai, Tamil Nadu, India
| | - Bruce B Duncan
- Postgraduate Program in Epidemiology, School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Pablo Aschner
- Colombian Diabetes Association and the Javeriana University School of Medicine, Bogotá, Colombia
| | - Noel C Barengo
- Department of Medical Education, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, USA
| | - Peter E H Schwarz
- President of the International Diabetes Federation (IDF), Avenue Herrmann-Debroux 54., B-1160 Brussels, Belgium; Department for Prevention and Care of Diabetes, Faculty of Medicine, Carl Gustav Carus at the Technische Universität/TU Dresden, Dresden, Germany; Paul Langerhans Institute Dresden of Helmholtz Zentrum München at University Hospital and Faculty of Medicine, TU Dresden, 01307 Dresden, Germany; German Center for Diabetes Research (DZD e.V.), 85764 Neuherberg, Germany
| | - Antonio Ceriello
- Department of Cardiovascular and Metabolic Diseases, Istituto Ricerca Cura Carattere Scientifico Multimedica, Sesto, San Giovanni, MI, Italy
| |
Collapse
|
4
|
Singh AK, Singh A, Gangopadhyay KK. Metformin in prediabetes: Opportunity or over-treatment? Int J Diabetes Dev Ctries 2025; 45:13-23. [DOI: 10.1007/s13410-025-01447-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2024] [Accepted: 01/06/2025] [Indexed: 05/03/2025] Open
|
5
|
Sandforth L, Kullmann S, Sandforth A, Fritsche A, Jumpertz-von Schwartzenberg R, Stefan N, Birkenfeld AL. Prediabetes remission to reduce the global burden of type 2 diabetes. Trends Endocrinol Metab 2025:S1043-2760(25)00004-9. [PMID: 39955249 DOI: 10.1016/j.tem.2025.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2024] [Revised: 12/12/2024] [Accepted: 01/15/2025] [Indexed: 02/17/2025]
Abstract
Prediabetes is a highly prevalent and increasingly common condition affecting a significant proportion of the global population. The heterogeneous nature of prediabetes presents a challenge in identifying individuals who particularly benefit from lifestyle or other therapeutic interventions aiming at preventing type 2 diabetes (T2D) and associated comorbidities. The phenotypic characteristics of individuals at risk for diabetes are associated with both specific risk profiles for progression and a differential potential to facilitate prediabetes remission and reduce the risk of future T2D. This review examines the current definition and global prevalence of prediabetes and evaluates the potential of prediabetes remission to reduce the alarming increase in the global burden of T2D.
Collapse
Affiliation(s)
- Leontine Sandforth
- Institute for Diabetes Research and Metabolic Diseases of Helmholtz Munich at the University of Tübingen, Tübingen, Germany; Internal Medicine IV, Endocrinology, Diabetology, and Nephrology, University Hospital Tübingen, Tübingen, Germany; German Center for Diabetes Research, Tübingen, Germany
| | - Stephanie Kullmann
- Institute for Diabetes Research and Metabolic Diseases of Helmholtz Munich at the University of Tübingen, Tübingen, Germany; Internal Medicine IV, Endocrinology, Diabetology, and Nephrology, University Hospital Tübingen, Tübingen, Germany; German Center for Diabetes Research, Tübingen, Germany
| | - Arvid Sandforth
- Institute for Diabetes Research and Metabolic Diseases of Helmholtz Munich at the University of Tübingen, Tübingen, Germany; Internal Medicine IV, Endocrinology, Diabetology, and Nephrology, University Hospital Tübingen, Tübingen, Germany; German Center for Diabetes Research, Tübingen, Germany
| | - Andreas Fritsche
- Institute for Diabetes Research and Metabolic Diseases of Helmholtz Munich at the University of Tübingen, Tübingen, Germany; Internal Medicine IV, Endocrinology, Diabetology, and Nephrology, University Hospital Tübingen, Tübingen, Germany; German Center for Diabetes Research, Tübingen, Germany
| | - Reiner Jumpertz-von Schwartzenberg
- Institute for Diabetes Research and Metabolic Diseases of Helmholtz Munich at the University of Tübingen, Tübingen, Germany; Internal Medicine IV, Endocrinology, Diabetology, and Nephrology, University Hospital Tübingen, Tübingen, Germany; German Center for Diabetes Research, Tübingen, Germany; M3 Research Center, Malignom, Metabolome, Microbiome, 72076 Tübingen, Germany; Cluster of Excellence EXC 2124 'Controlling Microbes to Fight Infections' (CMFI), University of Tübingen, Tübingen, Germany
| | - Norbert Stefan
- Institute for Diabetes Research and Metabolic Diseases of Helmholtz Munich at the University of Tübingen, Tübingen, Germany; Internal Medicine IV, Endocrinology, Diabetology, and Nephrology, University Hospital Tübingen, Tübingen, Germany; German Center for Diabetes Research, Tübingen, Germany
| | - Andreas L Birkenfeld
- Institute for Diabetes Research and Metabolic Diseases of Helmholtz Munich at the University of Tübingen, Tübingen, Germany; Internal Medicine IV, Endocrinology, Diabetology, and Nephrology, University Hospital Tübingen, Tübingen, Germany; German Center for Diabetes Research, Tübingen, Germany; Department of Diabetes, Life Sciences, and Medicine, Cardiovascular Medicine and Life Sciences, King's College London, London, UK.
| |
Collapse
|
6
|
Mohan V. Lessons Learned From Epidemiology of Type 2 Diabetes in South Asians: Kelly West Award Lecture 2024. Diabetes Care 2025; 48:153-163. [PMID: 39841965 PMCID: PMC11770170 DOI: 10.2337/dci24-0046] [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: 08/01/2024] [Accepted: 11/15/2024] [Indexed: 01/24/2025]
Abstract
South Asia has high prevalence rates of type 2 diabetes (T2D). Until the 1990s, the prevalence of T2D within South Asia was low but much higher in the South Asian diaspora living abroad. Today, high prevalence rates of T2D are reported among those living in South Asia. T2D in South Asians presents with unique clinical features described as the "South Asian phenotype" that include younger age at onset of diabetes than in White Europeans, much lower BMI, hyperinsulinemia and greater insulin resistance, rapid decline in β-cell function resulting in low insulin reserve, low muscle mass, and greater ectopic fat deposition, especially in the liver. Also, prevalence of impaired fasting glucose is higher among South Asians than prevalence of impaired glucose tolerance. Genetic predisposition combined with intrauterine fetal programming (low vitamin B12 intake and high folate intake) increases susceptibility to T2D, from birth. In later life, overnutrition, especially a high carbohydrate intake with refined grains of higher glycemic index, coupled with low physical activity likely triggers the T2D epidemic in South Asians. Additionally, there are emerging risk factors like air pollution. Preventing T2D in South Asians requires a multifactorial approach, including improvements in maternal and fetal nutrition with special reference to vitamin B12 and folate intake, decreasing refined carbohydrate and increasing protein and fiber intake in the diet, increasing physical activity, and control of air pollution. Lessons learned from epidemiology of T2D in South Asians could be useful to other developing countries that are in earlier stages of epidemiological transition.
Collapse
Affiliation(s)
- Viswanathan Mohan
- Madras Diabetes Research Foundation and Dr. Mohan’s Diabetes Specialities Centre, Chennai, India
| |
Collapse
|
7
|
Ranjani H, Avari P, Nitika S, Jagannathan N, Oliver N, Valabhji J, Mohan V, Chambers JC, Anjana RM. Effectiveness of Mobile Health Applications for Cardiometabolic Risk Reduction in Urban and Rural India: A Pilot, Randomized Controlled Study. J Diabetes Sci Technol 2025:19322968241310861. [PMID: 39810336 PMCID: PMC11733870 DOI: 10.1177/19322968241310861] [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] [Indexed: 01/16/2025]
Abstract
INTRODUCTION mHealth technology has the potential to deliver personalized health care; however, data on cardiometabolic risk factors are limited. This study aims to assess the effectiveness of mobile health applications (apps) on cardiometabolic risk factor reduction in adults aged 25 to 60 years in urban and rural India. METHODS The study design was a pilot randomized controlled trial conducted in Tamil Nadu, India. Smartphone users (25-60 years) with basic literacy and at high risk of developing diabetes (Indian Diabetes Risk Score ≥30 and/or fasting blood sugar [FBS] 100-125 mg/dL) were recruited. Four mobile apps (two commercially available, two novel) for cardiometabolic risk reduction were evaluated. Primary outcome (weight loss) was analyzed using intention-to-treat analysis with post hoc analysis and logistic regression models adjusted for confounders. RESULTS A total of 5264 participants were screened, and 610 were recruited into the study. Participants (7%) dropped out largely due to the COVID-19 pandemic. Data from 567 participants were used for the final analysis. In the intention-to-treat analysis, a significant reduction in body weight was observed in the intervention group as compared with control, more so in the urban (-2.40 kg, 95% confidence interval [CI] = [-3.10, -1.69], P < .001) compared with rural population (-1.19 kg, 95% CI = [-1.55, -0.82], P < .001). Intervention group participants showed significant reductions in body mass index, waist circumference, blood pressure, FBS, total serum cholesterol, and a positive effect on dietary and physical activity behaviors compared with controls. CONCLUSIONS mHealth interventions can reduce diabetes risk, improve cardiometabolic health, and improve lifestyle behaviors in South Asian populations. TRIAL REGISTRATION The trial is registered with the Central Trials Registry, India (CTRI/2020/03/024327).
Collapse
Affiliation(s)
- Harish Ranjani
- Madras Diabetes Research Foundation, Chennai, India
- Dr Mohan’s Diabetes Specialities Centre, Chennai, India
| | - Parizad Avari
- School of Public Health, Imperial College London, London, UK
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Sharma Nitika
- Madras Diabetes Research Foundation, Chennai, India
- Dr Mohan’s Diabetes Specialities Centre, Chennai, India
| | - Narayanaswamy Jagannathan
- Madras Diabetes Research Foundation, Chennai, India
- Dr Mohan’s Diabetes Specialities Centre, Chennai, India
| | - Nick Oliver
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Jonathan Valabhji
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Viswanathan Mohan
- Madras Diabetes Research Foundation, Chennai, India
- Dr Mohan’s Diabetes Specialities Centre, Chennai, India
| | - John Campbell Chambers
- School of Public Health, Imperial College London, London, UK
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Ranjit Mohan Anjana
- Madras Diabetes Research Foundation, Chennai, India
- Dr Mohan’s Diabetes Specialities Centre, Chennai, India
| |
Collapse
|
8
|
Shrestha A, Yang L, Demissie GD, Dhital R, Panniyammakal J, Parasuraman G, Gupta S, Karmacharya B, Thankappan KR, Oldenburg B, Haregu T. Scaling up structured lifestyle interventions to improve the management of cardiometabolic diseases in low-income and middle-income countries: a systematic review of strategies, methods and outcomes. BMJ PUBLIC HEALTH 2025; 3:e001371. [PMID: 40051537 PMCID: PMC11883891 DOI: 10.1136/bmjph-2024-001371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Accepted: 01/29/2025] [Indexed: 03/09/2025]
Abstract
Introduction Cardiometabolic diseases (CMDs), the leading causes of death in low-income and middle-income countries (LMICs), are proven to be mitigated through structured lifestyle interventions (SLIs-dietary changes, physical activity, tobacco cessation and alcohol intake), but the challenge lies in scaling them up in LMICs. Therefore, we undertook a systematic review to identify the strategies, methods and outcomes used in scaling up SLI programmes to improve cardiometabolic outcomes in LMICs. Methods We searched studies implementing scale-up strategies (delivery approaches enhancing an intervention's adoption, implementation and sustainability), methods (theories, models and frameworks) and present outcomes (feasibility, fidelity, etc) following the Proctor E framework. We searched six databases to identify studies published in English with no time restriction, guided by the Setting, Perspective, Intervention, Comparison and Evaluation framework. Quality assessment was performed using the Cochrane risk-of-bias, National Institutes of Health and Joanna Briggs Institute tools. Given the heterogeneity of the outcome measures, we conducted a narrative synthesis of the extracted information. Results Out of the 26 studies included, 18 (69%) adapted SLI interventions to suit local contexts. Strategies such as system integration, strengthening facility services and training led to up to 100% attendance of participants. Notably, only four studies (15%) used theories, models and frameworks for the full scale-up process, which is crucial for large-scale implementation in resource-limited settings. 15 (58%) studies reported the feasibility of scale-up, whereas 7 (27%) reported no significant differences in lifestyle behaviours or CMD biomarkers. Conclusions Early community and local stakeholders' engagement is crucial for codeveloping strategies for the scale-up of SLIs. Conducting readiness assessments and system integration are all essential considerations for improving scale-up outcomes. Additionally, we strongly recommend using suitable frameworks to guide the scale-up of SLIs to maximise the benefit for the population.
Collapse
Affiliation(s)
- Abha Shrestha
- La Trobe University, Melbourne, Victoria, Australia
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Kathmandu University School of Medical Sciences, Dhulikhel, Nepal
| | - Lu Yang
- La Trobe University, Melbourne, Victoria, Australia
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Nanjing University of Posts and Telecommunications, Nanjing, China
| | - Getu Debalkie Demissie
- La Trobe University, Melbourne, Victoria, Australia
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Rolina Dhital
- Health Action and Research Pvt Ltd, Kathmandu, Nepal
| | - Jeemon Panniyammakal
- La Trobe University, Melbourne, Victoria, Australia
- Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala, India
| | - Ganeshkumar Parasuraman
- Indian Council of Medical Research, Chennai, India
- National Institute of Epidemiology, Chennai, India
| | | | | | | | - Brian Oldenburg
- La Trobe University, Melbourne, Victoria, Australia
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Tilahun Haregu
- La Trobe University, Melbourne, Victoria, Australia
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Nossal Institute for Global Health, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| |
Collapse
|
9
|
Rong J, Ho M, Zhou D, Chau PH. Responses to lifestyle interventions among individuals with distinct pre-diabetes phenotypes: A systematic review and Meta-Analysis. Diabetes Res Clin Pract 2025; 219:111939. [PMID: 39643008 DOI: 10.1016/j.diabres.2024.111939] [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: 10/29/2024] [Revised: 11/20/2024] [Accepted: 11/25/2024] [Indexed: 12/09/2024]
Abstract
AIMS To assess responses to lifestyle interventions (LIs) among individuals with distinct pre-diabetes phenotypes (isolated impaired fasting glucose [i-IFG], isolated impaired glucose tolerance [i-IGT], and combined IFG + IGT) for reducing diabetes incidence, reversing pre-diabetes, and improving glycemic control and insulin sensitivity. METHODS PubMed, Embase, Cochrane Library, and Web of Science were searched until December 6th, 2023. We included randomized controlled trials examining responses to LIs (including diet and/or physical activity) among adults with i-IFG, i-IGT, and IFG + IGT. Outcomes included diabetes incidence, normoglycemia incidence, fasting plasma glucose (FPG), 2-hour plasma glucose (2 h-PG), hemoglobin A1c, fasting insulin (FI), and homeostasis model assessment-insulin resistance (HOMA-IR). Random-effects meta-analyses were performed to estimate risk ratios (RRs) and mean differences. RESULTS Twenty-seven studies were included. Meta-analysis of 10 studies that performed stratified analyses by pre-diabetes phenotype found that LIs significantly reduced diabetes incidence in i-IGT (RR = 0.69 [0.56; 0.85], I2 = 14 %) and IFG + IGT (RR = 0.56 [0.48; 0.66], I2 = 0 %) but not in i-IFG (RR = 0.85 [0.66; 1.11], I2 = 0 %; psubgroup = 0.02). Meta-analysis of 20 studies using IGT for participant recruitment showed that LIs significantly decreased diabetes incidence, increased normoglycemia incidence, and improved FPG, 2 h-PG, FI and HOMA-IR. CONCLUSIONS LIs are effective for IGT (with or without IFG), but tailored LIs are needed for i-IFG to prevent diabetes.
Collapse
Affiliation(s)
- Jincheng Rong
- School of Nursing, LKS Faculty of Medicine, the University of Hong Kong, Hong Kong, SAR, China.
| | - Mandy Ho
- School of Nursing, LKS Faculty of Medicine, the University of Hong Kong, Hong Kong, SAR, China.
| | - Disheng Zhou
- School of Nursing, LKS Faculty of Medicine, the University of Hong Kong, Hong Kong, SAR, China.
| | - Pui Hing Chau
- School of Nursing, LKS Faculty of Medicine, the University of Hong Kong, Hong Kong, SAR, China.
| |
Collapse
|
10
|
Lankinen MA, Nuotio P, Kauppinen S, Koivu N, Tolonen U, Malkki-Keinänen K, Oravilahti A, Kuulasmaa T, Uusitupa M, Schwab U, Laakso M. Effects of Genetic Risk on Incident Type 2 Diabetes and Glycemia: The T2D-GENE Lifestyle Intervention Trial. J Clin Endocrinol Metab 2024; 110:130-138. [PMID: 38888187 PMCID: PMC11651687 DOI: 10.1210/clinem/dgae422] [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: 04/03/2024] [Revised: 06/11/2024] [Accepted: 06/14/2024] [Indexed: 06/20/2024]
Abstract
CONTEXT Lifestyle intervention prevents or delays type 2 diabetes (T2D) in subjects at a high risk of T2D. However, it is not known whether genetic variants modify the effect on incident T2D during lifestyle intervention. OBJECTIVE To investigate whether a low or high genetic risk has effects on incident T2D in a group-based lifestyle intervention study. METHODS The T2D-GENE trial involved 973 men from the Metabolic Syndrome in Men (METSIM) cohort, aged 50-75 years, body mass index ≥25 kg/m2, fasting plasma glucose 5.6-6.9 mmol/L, hemoglobin A1c < 48 mmol/mol, and either a low or high genetic risk score for T2D. There were 2 intervention groups, a low (n = 315) and high genetic risk for T2D (n = 313). They were provided with a 3-year group-based intervention with access to a web portal focused on healthy diet and physical activity. There were also corresponding population-based control groups at low (n = 196) and high (n = 149) genetic risk for T2D who had two laboratory visits (0 and 3 years) and general health advice as a part of their METSIM cohort protocol. The primary outcome was incident T2D, and a secondary outcome was glycemia. RESULTS The intervention significantly lowered the risk of T2D among the participants with a high genetic risk for T2D [hazards ratio (HR) 0.30, 95% confidence interval (CI) 0.16-0.56, P < .001) whereas in the low genetic risk group the effect was not significant (HR 0.69, 95% CI 0.36-1.32, P = .262). The intervention effect was not significantly different between the high and low genetic risk groups (P = .135). The intervention significantly ameliorated the worsening of glycemia and decreased weight both in the low and high genetic risk groups. CONCLUSION Our results showed that individuals with a high genetic risk for T2D benefitted from a low-cost group-based intervention focusing on healthy diet and physical activity. Therefore, all individuals at risk of T2D should be encouraged to make lifestyle changes regardless of genetic risk.
Collapse
Affiliation(s)
- Maria Anneli Lankinen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, 70211 Kuopio, Finland
| | - Petrus Nuotio
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, 70211 Kuopio, Finland
| | - Susanna Kauppinen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, 70211 Kuopio, Finland
| | - Noora Koivu
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, 70211 Kuopio, Finland
| | - Ulla Tolonen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, 70211 Kuopio, Finland
| | - Katriina Malkki-Keinänen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, 70211 Kuopio, Finland
| | - Anniina Oravilahti
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, 70211 Kuopio, Finland
| | - Teemu Kuulasmaa
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, 70211 Kuopio, Finland
| | - Matti Uusitupa
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, 70211 Kuopio, Finland
| | - Ursula Schwab
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, 70211 Kuopio, Finland
- Department of Medicine, Endocrinology and Clinical Nutrition, Kuopio University Hospital, Wellbeing Services County of North Savo, 70210 Kuopio, Finland
| | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, 70211 Kuopio, Finland
| |
Collapse
|
11
|
Yang H, Lv D, Qu S, Xu H, Li S, Wang Z, Cao X, Rong Y, Li X, Wu H, Chen Y, Zhu J, Tang B, Hu Z. A ROS-Responsive Lipid Nanoparticles Release Multifunctional Hydrogel Based on Microenvironment Regulation Promotes Infected Diabetic Wound Healing. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2403219. [PMID: 39308241 DOI: 10.1002/advs.202403219] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Revised: 08/04/2024] [Indexed: 11/22/2024]
Abstract
The continuous imbalance of the diabetic wound microenvironment is an important cause of chronic nonhealing, which manifests as a vicious cycle between excessive accumulation of reactive oxygen species (ROS) and abnormal healing. Regulating the microenvironment by suppressing wound inflammation, oxidative stress, and bacterial infection is a key challenge in treating diabetic wounds. In this study, ROS-responsive hydrogels are developed composed of silk fibroin methacrylated (SFMA), modified collagen type III (rCol3MA), and lipid nanoparticles (LNPs). The newly designed hydrogel system demonstrated stable physicochemical properties and excellent biocompatibility. Moreover, the release of antimicrobial peptide (AMP) and puerarin (PUE) demonstrated remarkable efficacy in eradicating bacteria, regulating inflammatory responses, and modulating vascular functions. This multifunctional hydrogel is a simple and efficient approach for the treatment of chronic diabetic infected wounds and holds tremendous potential for future clinical applications.
Collapse
Affiliation(s)
- Hao Yang
- Department of Burn and Wound Repair, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, China
| | - Dongming Lv
- Department of Burn and Wound Repair, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, China
| | - Shanqiang Qu
- Department of Neurosurgery, Nanfang Hospital of Southern Medical University, Guangzhou, 510515, China
| | - Hailin Xu
- Department of Dermatology, Dermatology Hospital of Southern Medical University, Guangzhou, 510091, China
| | - Shuting Li
- Department of Plastic Surgery, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, China
| | - Zhiyong Wang
- Department of Joint Surgery, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China
| | - Xiaoling Cao
- Department of Burn and Wound Repair, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, China
| | - Yanchao Rong
- Department of Burn and Wound Repair, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, China
| | - Xiaohui Li
- Department of Burn and Wound Repair, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, China
| | - Honglin Wu
- Department of Burn and Wound Repair, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, China
| | - Yongfei Chen
- Department of Burn and Wound Repair, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, China
| | - Jiayuan Zhu
- Department of Burn and Wound Repair, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, China
| | - Bing Tang
- Department of Burn and Wound Repair, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, China
| | - Zhicheng Hu
- Department of Burn and Wound Repair, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080, China
| |
Collapse
|
12
|
Bahadoran Z, Mirmiran P, Azizi F, Hosseinpanah F. The association of body weight change and regression to normoglycemia in different phenotypes of pre-diabetes: Findings of a longitudinal cohort study. Clin Nutr ESPEN 2024; 63:887-892. [PMID: 39214244 DOI: 10.1016/j.clnesp.2024.08.024] [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: 05/11/2024] [Revised: 07/20/2024] [Accepted: 08/23/2024] [Indexed: 09/04/2024]
Abstract
AIM We investigated the association of a 3-year change in body weight (BW) and regression to normal glucose regulation (NGR) among different phenotypes of pre-diabetes (Pre-DM), i.e., isolated impaired glucose tolerance (iIGT), isolated impaired fasting glucose (iIFG) and combined IFG-IGT. RESEARCH DESIGN AND METHODS 1458 Pre-DM subjects (iIFG = 618, iIGT = 462, and IFG-IGT = 378) were assessed for 3-year change-percent in BW (2006-2008 to 2009-2011) and then followed up to 2015-2017, within the national cohort of Tehran Lipid and Glucose Study (TLGS). Binary logistic regression models were used to estimate the probability (odds ratio, ORs) of regression to NGR across categories of 3-year BW change (i.e., ≥5% BW loss, <5% BW loss, BW gain) in different phenotypes of Pre-DM. RESULTS The mean age of the participants was 53.0 ± 13.7, and 46.8% were men. Over a median of 6 years of follow-up, the rate of regression to normoglycemia was 50.6, 43.2, and 12.7% in iIGT, iIFG, and combined IFG-IGT, respectively. The baseline-adjusted mean of 3-year BW change was not significantly different across Pre-DM phenotypes (0.68 ± 0.19, 0.32 ± 0.22, and 0.23 ± 0.24 kg, in iIFG, iIGT, and IFG-IGT). Three-year BW loss ≥5% was associated with a greater NGR probability in iIGT than other phenotypes (OR = 4.29 vs. 3.90 and 2.84 in IFG-IGT and iIFG, respectively). A modest reduction (<5% of initial BW) resulted in an increased chance of Pre-DM regression among subjects with iIGT (OR = 1.61, 95% CI = 1.03-2.52) but not iIFG or IFG-IGT phenotypes. CONCLUSION Short-term intensive BW loss (≥5% of initial BW) increased NGR probability in all Pre-DM phenotypes, with an order of iIGT > combined IFG-IGT > iIFG. Only iIGT takes advantage of moderate BW loss (<5% of initial BW) to increase the chance of Pre-DM regression.
Collapse
Affiliation(s)
- Zahra Bahadoran
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Micronutrient Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Parvin Mirmiran
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Department of Clinical Nutrition and Dietetics, Faculty of Nutrition Sciences and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farhad Hosseinpanah
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| |
Collapse
|
13
|
Madhu SV, Rao PV, Chandalia HB, Jothydev K, Gupta A. Yoga and prevention of type 2 diabetes - The Indian Prevention of Diabetes Study (IPDS). Diabetes Metab Syndr 2024; 18:103088. [PMID: 39079307 DOI: 10.1016/j.dsx.2024.103088] [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: 02/13/2024] [Revised: 07/20/2024] [Accepted: 07/23/2024] [Indexed: 10/01/2024]
Abstract
BACKGROUND Short term studies have reported that yoga could be beneficial in preventing diabetes. We evaluated long term effectiveness of yoga in reducing the risk of type 2 diabetes. METHODS This open labelled randomized controlled trial was conducted across five medical centers. Adults diagnosed with prediabetes following an oral glucose tolerance test were randomly assigned to receive a structured yoga intervention consisting of 40 minutes of specific yoga asanas pranayama in addition to standard lifestyle measures or standard lifestyle measures alone. The primary outcome of incident diabetes was compared in both groups at the end of the 3-year intervention period using intention-to-treat analysis. RESULTS A total of 974 individuals were randomized (488 to the yoga + lifestyle group-group1 and 486 to the Lifestyle alone group-group2). After 3 years of follow-up, there was a 39.2 % reduction of the relative risk of diabetes with yoga (11.5 % in group1 vs 18.9 % in group 2). Cox proportional hazard model analysis revealed a significantly higher odds ratio of 1.74 (95 % CI 1.25-2.43) of developing diabetes in the lifestyle alone group compared to those who also performed yoga. Adherence to yoga was good with 77 % of individuals performing yoga for more than 75 % of the time. CONCLUSIONS Structured yoga intervention along with standard lifestyle measures significantly reduces risk of type 2 diabetes when compared with those given lifestyle measures alone.
Collapse
Affiliation(s)
- Sri V Madhu
- Centre for Diabetes, Endocrinology and Metabolism, University College of Medical Sciences, GTB Hospital, New Delhi, Delhi, 110095, India.
| | - Paturi V Rao
- Diabetes Research Society, Hyderabad, Telangana, India
| | - Hemraj B Chandalia
- Diabetes Endocrine Nutrition Management and Research Centre, Mumbai, Maharashtra, India
| | | | - Arvind Gupta
- Monilek Hospital and Research Centre, Jaipur, Rajasthan, India
| |
Collapse
|
14
|
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.
Collapse
Affiliation(s)
- Sun H Kim
- Division of Endocrinology, Gerontology and Metabolism, Stanford University School of Medicine, Stanford, California, USA
| |
Collapse
|
15
|
Pyo E, Weber MB, Sivaram J, Staimez LR, Mohan V, Anjana RM, Haardörfer R, Ranjani H. Construct validity of the 12-item Short Form Health Survey (SF-12) version 2 and the impact of lifestyle modifications on the health-related quality of life among Indian adults with prediabetes: results from the D-CLIP trial. Qual Life Res 2024; 33:1593-1603. [PMID: 38607494 PMCID: PMC11226141 DOI: 10.1007/s11136-024-03648-6] [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] [Accepted: 03/08/2024] [Indexed: 04/13/2024]
Abstract
PURPOSE This study aimed to validate the factor structure of the 12-item Short-Form (SF-12) health-related quality of life (HRQOL) survey for Indian adults and assess the impact of lifestyle modification on the SF-12 of Indian adults with prediabetes. METHODS To validate the context-specific construct of the SF-12, two-factor confirmatory factor analysis (CFA) was performed using data from 1285 adults residing in Chennai, India, who screened for the Diabetes Community Lifestyle Improvement Program (D-CLIP). D-CLIP was a randomized controlled trial of 578 participants with prediabetes (283 treatment, 293 control), focusing on the effect of lifestyle modifications on the prevention of diabetes. Physical and mental component scores (PCS and MCS) were computed by using CFA standardized factor loadings. Multiple linear regression was subsequently conducted to estimate the effect of lifestyle modification on post-study changes of PCS and MCS among D-CLIP participants. RESULTS Cronbach's alpha and CFA fit indices demonstrated acceptable reliability and model fit of the SF-12 for Indian adults. The intervention group showed greater mean change in PCS after study participation compared to the controls (1.63 ± 0.82, p = 0.046); no significant difference was observed for MCS between two groups (1.00 ± 0.85, p = 0.242). CONCLUSION The study confirmed that the SF-12 is suitable for assessing the physical and mental health dimensions of HRQOL for Indian adults. Our findings suggest that the benefits of diabetes prevention lifestyle modification strategies may primarily enhance the physical well-being of adults with prediabetes. Further studies validating the SF-12 in a broader Asian Indian population are needed. TRIAL REGISTRATION Clinicaltrials.gov, NCT01283308.
Collapse
Affiliation(s)
- Euisun Pyo
- Nutrition and Health Sciences Program, Laney Graduate School, Emory University, Atlanta, GA, USA.
| | - Mary Beth Weber
- Nutrition and Health Sciences Program, Laney Graduate School, Emory University, Atlanta, GA, USA
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, GA, 30322, USA
| | | | - Lisa R Staimez
- Nutrition and Health Sciences Program, Laney Graduate School, Emory University, Atlanta, GA, USA
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, GA, 30322, USA
| | - Viswanathan Mohan
- Department of Diabetology, Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, Chennai, India
| | - Ranjit Mohan Anjana
- Department of Diabetology, Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialities Centre, Chennai, India
| | - Regine Haardörfer
- Department of Behavioral, Social, and Health Education Sciences, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Harish Ranjani
- Department of Preventive and Digital Health Research, Madras Diabetes Research Foundation, Chennai, India
| |
Collapse
|
16
|
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.
Collapse
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
| |
Collapse
|
17
|
Narayan KV, Kondal D, Chang HH, Mohan D, Gujral UP, Anjana RM, Staimez LR, Patel SA, Ali MK, Prabhakaran D, Tandon N, Mohan V. Natural History of Type 2 Diabetes in Indians: Time to Progression. Diabetes Care 2024; 47:858-863. [PMID: 38427346 PMCID: PMC11043225 DOI: 10.2337/dc23-1514] [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: 08/16/2023] [Accepted: 02/06/2024] [Indexed: 03/02/2024]
Abstract
OBJECTIVE To describe the natural history of diabetes in Indians. RESEARCH DESIGN AND METHODS Data are from participants older than 20 years in the Centre for Cardiometabolic Risk Reduction in South Asia longitudinal study. Glycemic states were defined per American Diabetes Association criteria. Markov models were used to estimate annual transition probabilities and sojourn time through states. RESULTS Among 2,714 diabetes-free participants, 641 had isolated impaired fasting glucose (iIFG), and 341 had impaired glucose tolerance (IGT). The annual transition to diabetes for those with IGT was 13.9% (95% CI 12.0, 15.9) versus 8.6% (7.3, 9.8) for iIFG. In the normoglycemia ↔ iIFG → diabetes model, mean sojourn time in normoglycemia was 40.3 (34.6, 48.2) years, and sojourn time in iIFG was 9.7 (8.4, 11.4) years. For the normoglycemia ↔ IGT → diabetes model, mean sojourn time in normoglycemia was 34.5 (29.5, 40.8) years, and sojourn time in IGT was 6.1 (5.3, 7.1) years. CONCLUSIONS Individuals reside in normoglycemia for 35-40 years; however, progression from prediabetes to diabetes is rapid.
Collapse
Affiliation(s)
- K.M. Venkat Narayan
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center and Emory University, Atlanta, GA
- Rollins School of Public Health, Emory University, Atlanta, GA
| | - Dimple Kondal
- Public Health Foundation of India, New Delhi, India
- Centre for Chronic Disease Control, New Delhi, India
| | - Howard H. Chang
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center and Emory University, Atlanta, GA
| | - Deepa Mohan
- Madras Diabetes Research Foundation & Dr. Mohan’s Diabetes Specialties Centre, Chennai, India
| | - Unjali P. Gujral
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center and Emory University, Atlanta, GA
- Rollins School of Public Health, Emory University, Atlanta, GA
| | - Ranjit Mohan Anjana
- Madras Diabetes Research Foundation & Dr. Mohan’s Diabetes Specialties Centre, Chennai, India
| | - Lisa R. Staimez
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center and Emory University, Atlanta, GA
- Rollins School of Public Health, Emory University, Atlanta, GA
| | - Shivani A. Patel
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center and Emory University, Atlanta, GA
- Rollins School of Public Health, Emory University, Atlanta, GA
| | - Mohammed K. Ali
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center and Emory University, Atlanta, GA
- Rollins School of Public Health, Emory University, Atlanta, GA
| | - Dorairaj Prabhakaran
- Rollins School of Public Health, Emory University, Atlanta, GA
- Public Health Foundation of India, New Delhi, India
- Centre for Chronic Disease Control, New Delhi, India
| | - Nikhil Tandon
- All India Institute of Medical Sciences, New Delhi, India
| | - Viswanathan Mohan
- Madras Diabetes Research Foundation & Dr. Mohan’s Diabetes Specialties Centre, Chennai, India
| |
Collapse
|
18
|
Farhat G, Mellor DD, Sattar N, Harvie M, Issa B, Rutter MK. Effectiveness of lifestyle interventions/culturally bespoke programmes in South Asian ethnic groups targeting weight loss for prevention and/or remission of type 2 diabetes: a systematic review and meta-analysis of intervention trials. J Hum Nutr Diet 2024; 37:550-563. [PMID: 38234263 DOI: 10.1111/jhn.13279] [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: 09/01/2023] [Revised: 11/14/2023] [Accepted: 12/21/2023] [Indexed: 01/19/2024]
Abstract
BACKGROUND People from South Asian heritage are at high risk of type 2 diabetes, but there are limited specific strategies to prevent and manage this condition. The aim was to assess the effectiveness of culturally bespoke lifestyle programmes in South Asians that target weight loss for the prevention or remission of type 2 diabetes mellitus (T2DM). METHODS We performed a systematic review and meta-analysis of intervention trials. PubMed, Scopus, MEDLINE (EBSCOhost), CINAHL, PsycINFO and CENTRAL were searched. Human intervention trials (randomised controlled trials and quasi-experimental) investigating the effect of lifestyle interventions on the prevention and remission of T2DM in South Asians were included. Studies including participants at risk of T2DM (prevention trials) and having the disease (remission trials) with duration ≥12 weeks were eligible. For prevention trials, the primary outcome was change in weight (kg) from baseline; for remission trials, it was decrease in HbA1c to non-diabetic levels (HbA1c ≤ 6.5%) without diabetes medications. Prevention trials were separated into (i) lifestyle modification advice and (ii) lifestyle modification advice including a supervised physical activity programme. RESULTS Twenty-four trials were eligible (21 prevention trials and 3 remission trials). In T2DM prevention trials involving only lifestyle modification advice, the mean postintervention difference in weight between intervention and control groups was -0.65 kg (95% confidence interval [CI]: -1.04, -0.26; p = 0.01). Lifestyle modification advice including a physical activity programme was associated with greater decreases in weight: -1.13 kg (95% CI: -2.04, -0.21; p = 0.02). Fasting blood glucose levels were slightly lower in intervention groups for both intervention subtypes, although there was no significant change in HbA1c levels or 2-h plasma glucose levels. Diabetes remission trials showed potential acceptability but were limited in number and involved a small sample size, and some did not include a control group. CONCLUSIONS In South Asians, lifestyle interventions for prevention of T2DM offer only modest impacts on weight and glucose control and will unlikely reduce diabetes incidence. Alternative lifestyle interventions co-designed with members of the communities and aimed at both prevention and remission of T2DM must be urgently considered. Systematic review registration number: PROSPERO CRD42022385174 https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=385174.
Collapse
Affiliation(s)
- Grace Farhat
- Faculty of Health and Education, Manchester Metropolitan University, Manchester, UK
| | - Duane D Mellor
- Aston Medical School, Aston University, Birmingham, UK
- Centre for Health and Society, Aston University, Birmingham, UK
| | - Naveed Sattar
- BHF Cardiovascular Research Centre, University of Glasgow, Glasgow, UK
| | - Michelle Harvie
- Prevent Breast Cancer Research Unit, Manchester University Hospital Foundation NHS Trust, Manchester, UK
- UK Division of Cancer Sciences, University of Manchester, Manchester, UK
- NIHR Manchester Biomedical Research Centre, NIHR, Manchester, UK
| | - Basil Issa
- Manchester University NHS Foundation Trust, NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester, UK
| | - Martin K Rutter
- Division of Endocrinology, Diabetes and Gastroenterology, Faculty of Biology, Medicine and Health, School of Medical Sciences, University of Manchester, Manchester, UK
- Diabetes, Endocrinology and Metabolism Centre, Manchester, UK
| |
Collapse
|
19
|
Bergman M, Manco M, Satman I, Chan J, Schmidt MI, Sesti G, Vanessa Fiorentino T, Abdul-Ghani M, Jagannathan R, Kumar Thyparambil Aravindakshan P, Gabriel R, Mohan V, Buysschaert M, Bennakhi A, Pascal Kengne A, Dorcely B, Nilsson PM, Tuomi T, Battelino T, Hussain A, Ceriello A, Tuomilehto J. International Diabetes Federation Position Statement on the 1-hour post-load plasma glucose for the diagnosis of intermediate hyperglycaemia and type 2 diabetes. Diabetes Res Clin Pract 2024; 209:111589. [PMID: 38458916 DOI: 10.1016/j.diabres.2024.111589] [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] [Indexed: 03/10/2024]
Abstract
Many individuals with intermediate hyperglycaemia (IH), including impaired fasting glycaemia (IFG) and impaired glucose tolerance (IGT), as presently defined, will progress to type 2 diabetes (T2D). There is confirmatory evidence that T2D can be prevented by lifestyle modification and/or medications, in people with IGT diagnosed by 2-h plasma glucose (PG) during a 75-gram oral glucose tolerance test (OGTT). Over the last 40 years, a wealth of epidemiological data has confirmed the superior value of 1-h plasma glucose (PG) over fasting PG (FPG), glycated haemoglobin (HbA1c) and 2-h PG in populations of different ethnicity, sex and age in predicting diabetes and associated complications including death. Given the relentlessly rising prevalence of diabetes, a more sensitive, practical method is needed to detect people with IH and T2D for early prevention or treatment in the often lengthy trajectory to T2D and its complications. The International Diabetes Federation (IDF) Position Statement reviews findings that the 1-h post-load PG ≥ 155 mg/dL (8.6 mmol/L) in people with normal glucose tolerance (NGT) during an OGTT is highly predictive for detecting progression to T2D, micro- and macrovascular complications, obstructive sleep apnoea, cystic fibrosis-related diabetes mellitus, metabolic dysfunction-associated steatotic liver disease, and mortality in individuals with risk factors. The 1-h PG of 209 mg/dL (11.6 mmol/L) is also diagnostic of T2D. Importantly, the 1-h PG cut points for diagnosing IH and T2D can be detected earlier than the recommended 2-h PG thresholds. Taken together, the 1-h PG provides an opportunity to avoid misclassification of glycaemic status if FPG or HbA1c alone are used. The 1-h PG also allows early detection of high-risk people for intervention to prevent progression to T2D which will benefit the sizeable and growing population of individuals at increased risk of T2D. Using a 1-h OGTT, subsequent to screening with a non-laboratory diabetes risk tool, and intervening early will favourably impact the global diabetes epidemic. Health services should consider developing a policy for screening for IH based on local human and technical resources. People with a 1-h PG ≥ 155 mg/dL (8.6 mmol/L) are considered to have IH and should be prescribed lifestyle intervention and referred to a diabetes prevention program. People with a 1-h PG ≥ 209 mg/dL (11.6 mmol/L) are considered to have T2D and should have a repeat test to confirm the diagnosis of T2D and then referred for further evaluation and treatment. The substantive data presented in the Position Statement provides strong evidence for redefining current diagnostic criteria for IH and T2D by adding the 1-h PG.
Collapse
Affiliation(s)
- Michael Bergman
- NYU Grossman School of Medicine, Departments of Medicine and of Population Health, Division of Endocrinology, Diabetes and Metabolism, VA New York Harbor Healthcare System, New York, NY, USA.
| | - Melania Manco
- Predictive and Preventive Medicine Research Unit, Bambino Gesù Children's Hospital IRCCS, Rome, Italy
| | - Ilhan Satman
- Istanbul University Faculty of Medicine, Department of Internal Medicine, Division of Endocrinology and Metabolism, Istanbul, Turkey
| | - Juliana Chan
- The Chinese University of Hong Kong, Faculty of Medicine, Department of Medicine and Therapeutics, Hong Kong Institute of Diabetes and Obesity, Hong Kong, China
| | - Maria Inês Schmidt
- Postgraduate Program in Epidemiology, School of Medicine and Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - Giorgio Sesti
- Department of Clinical and Molecular Medicine, University of Rome-Sapienza, 00189 Rome, Italy
| | - Teresa Vanessa Fiorentino
- Department of Medical and Surgical Sciences, University Magna Graecia of Catanzaro, 88100 Catanzaro, Italy
| | - Muhammad Abdul-Ghani
- Division of Diabetes, University of Texas Health Science Center at San Antonio, San Antonio Texas, USA
| | - Ram Jagannathan
- Hubert Department of Global Health Rollins, School of Public Health, Emory University, Atlanta, GA, USA
| | | | - Rafael Gabriel
- Department of International Health, National School of Public Health, Instituto de Salud Carlos III, Madrid, Spain
| | - Viswanathan Mohan
- Dr. Mohan's Diabetes Specialities Centre and Madras Diabetes Research Foundation, Chennai, India
| | - Martin Buysschaert
- Department of Endocrinology and Diabetology, Université Catholique de Louvain, University, Clinic Saint-Luc, Brussels, Belgium
| | - Abdullah Bennakhi
- Dasman Diabetes Institute Office of Regulatory Affairs, Ethics Review Committee, Kuwait
| | - Andre Pascal Kengne
- South African Medical Research Council, Francie Van Zijl Dr, Parow Valley, Cape Town, 7501, South Africa
| | - Brenda Dorcely
- NYU Grossman School of Medicine, Department of Medicine, Division of Endocrinology, Diabetes and Metabolism, New York, NY, USA
| | - Peter M Nilsson
- Department of Clinical Sciences and Lund University Diabetes Centre, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Tiinamaija Tuomi
- Folkhälsan Research Center, Helsinki, Finland; Abdominal Center, Endocrinology, Helsinki University Central Hospital, Research Program for Diabetes and Obesity, Center of Helsinki, Helsinki, Finland
| | | | - Akhtar Hussain
- Faculty of Health Sciences, Nord University, Bodø, Norway; Faculty of Medicine, Federal University of Ceará (FAMED-UFC), Brazil; International Diabetes Federation (IDF), Brussels, Belgium; Diabetes in Asia Study Group, Post Box: 752, Doha-Qatar; Centre for Global Health Research, Diabetic Association of Bangladesh, Dhaka, Bangladesh
| | | | - Jaakko Tuomilehto
- Department of International Health, National School of Public Health, Instituto de Salud Carlos III, Madrid, Spain; 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
| |
Collapse
|
20
|
Qiu S, Cai X, Zhou X, Xu J, Sun Z, Guo H, Wu T. Muscle Quality in Relation to Prediabetes Phenotypes: A Population-Based Study With Mediation Analysis. J Clin Endocrinol Metab 2024; 109:e1151-e1158. [PMID: 37878955 DOI: 10.1210/clinem/dgad630] [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: 07/03/2023] [Revised: 10/05/2023] [Accepted: 10/20/2023] [Indexed: 10/27/2023]
Abstract
CONTEXT Prediabetes is associated with an increased risk of physical disability, yet no studies have assessed the extent to which muscle quality, a measure reflecting muscle functionality, was altered in prediabetes and its specific phenotype. OBJECTIVE We evaluated their associations in a general US population with mediation analysis. METHODS This was a cross-sectional study based on the National Health and Nutrition Examination Survey 2011-2014. Participants with prediabetes were stratified as having an isolated defect (impaired fasting glucose [IFG], impaired glucose tolerance [IGT], or impaired hemoglobin A1c [IA1c]), 2 defects (IFG + IGT, IFG + IA1c, or IGT + IA1c), or all defects (IFG + IGT + IA1c). Muscle quality was calculated as dominant grip strength divided by dominant arm muscle mass measured by dual-energy X-ray absorptiometry. RESULTS We included 2351 participants (938 with prediabetes and 1413 with normoglycemia). Despite higher grip strength and larger arm muscle mass, arm muscle quality was lower in prediabetes and all prediabetes phenotypes (except for IGT) than normoglycemia (all P < .04), and was unrelated to prediabetes awareness. Arm muscle quality was decreased and the odds of low arm muscle quality was increased in prediabetes with increasing numbers of glucometabolic defects (both P < .001), with insulin resistance being the predominant mediator. HbA1c-defined prediabetes (IA1c) had lower arm muscle quality and higher odds of low arm muscle quality than blood glucose-defined prediabetes (IFG, IGT, or IFG + IGT). CONCLUSION Muscle quality was impaired in prediabetes and its specific phenotype. Relative to blood glucose, elevated HbA1c might be a better predictor of reduced muscle quality.
Collapse
Affiliation(s)
- Shanhu Qiu
- Department of General Practice, Zhongda Hospital, Institute of Diabetes, School of Medicine, Southeast University, Nanjing 210009, China
- Research and Education Centre of General Practice, Zhongda Hospital, Southeast University, Nanjing 210009, China
| | - Xue Cai
- Department of Nursing Management, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210009, China
| | - Xiaoying Zhou
- Department of Endocrinology, Zhongda Hospital, Institute of Diabetes, School of Medicine, Southeast University, Nanjing 210009, China
| | - Jinshui Xu
- Department of Integrated Services, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210000, China
| | - Zilin Sun
- Department of Endocrinology, Zhongda Hospital, Institute of Diabetes, School of Medicine, Southeast University, Nanjing 210009, China
| | - Haijian Guo
- Department of Integrated Services, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210000, China
| | - Tongzhi Wu
- Adelaide Medical School and Centre of Research Excellence (CRE) in Translating Nutritional Science to Good Health, The University of Adelaide, Adelaide 5000, Australia
| |
Collapse
|
21
|
Mohan V, Unnikrishnan R, Anjana RM. Comment on Rooney et al. Global Prevalence of Prediabetes. Diabetes Care 2023;46:1388-1394. Diabetes Care 2023; 46:e220. [PMID: 38011524 DOI: 10.2337/dc23-1606] [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: 11/29/2023]
Affiliation(s)
- Viswanathan Mohan
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialties Centre, Chennai, India
| | - Ranjit Unnikrishnan
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialties Centre, Chennai, India
| | - Ranjit Mohan Anjana
- Madras Diabetes Research Foundation and Dr. Mohan's Diabetes Specialties Centre, Chennai, India
| |
Collapse
|
22
|
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.
Collapse
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
| |
Collapse
|
23
|
Sathish T, Khunti K, Narayan KV, Mohan V, Davies MJ, Yates T, Oldenburg B, Thankappan KR, Tapp RJ, Bajpai R, Anjana RM, Weber MB, Ali MK, Shaw JE. Effect of Conventional Lifestyle Interventions on Type 2 Diabetes Incidence by Glucose-Defined Prediabetes Phenotype: An Individual Participant Data Meta-analysis of Randomized Controlled Trials. Diabetes Care 2023; 46:1903-1907. [PMID: 37650824 PMCID: PMC10620543 DOI: 10.2337/dc23-0696] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 07/11/2023] [Indexed: 09/01/2023]
Abstract
OBJECTIVE To examine whether the effect of conventional lifestyle interventions on type 2 diabetes incidence differs by glucose-defined prediabetes phenotype. RESEARCH DESIGN AND METHODS We searched multiple databases until 1 April 2023 for randomized controlled trials that recruited people with isolated impaired fasting glucose (i-IFG), isolated impaired glucose tolerance (i-IGT), and impaired fasting glucose plus impaired glucose tolerance (IFG+IGT). Individual participant data were pooled from relevant trials and analyzed through random-effects models with use of the within-trial interactions approach. RESULTS Four trials with 2,794 participants (mean age 53.0 years, 60.7% men) were included: 1,240 (44.4%), 796 (28.5%), and 758 (27.1%) had i-IFG, i-IGT, and IFG+IGT, respectively. After a median of 2.5 years, the pooled hazard ratio for diabetes incidence in i-IFG was 0.97 (95% CI 0.66, 1.44), i-IGT 0.65 (0.44, 0.96), and IFG+IGT 0.51 (0.38, 0.68; Pinteraction = 0.01). CONCLUSIONS Conventional lifestyle interventions reduced diabetes incidence in people with IGT (with or without IFG) but not in those with i-IFG.
Collapse
Affiliation(s)
- Thirunavukkarasu Sathish
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, GA
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester, U.K
| | - K.M. Venkat Narayan
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, GA
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Viswanathan Mohan
- Madras Diabetes Research Foundation and Dr. Mohan’s Diabetes Specialities Centre, Chennai, Tamil Nadu, India
| | - Melanie J. Davies
- Diabetes Research Centre, University of Leicester, Leicester, U.K
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Leicester, U.K
| | - Thomas Yates
- Diabetes Research Centre, University of Leicester, Leicester, U.K
- NIHR Leicester Biomedical Research Centre, Leicester General Hospital, Leicester, U.K
| | - Brian Oldenburg
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- School of Psychology and Public Health, La Trobe University, Melbourne, Victoria, Australia
| | - Kavumpurathu R. Thankappan
- Department of Public Health, Amrita Institute of Medical Sciences & Research Center, Kochi, Kerala, India
| | - Robyn J. Tapp
- Research Institute for Health and Wellbeing, Coventry University, Coventry, U.K
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Ram Bajpai
- School of Medicine, Keele University, Staffordshire, U.K
| | - Ranjit Mohan Anjana
- Madras Diabetes Research Foundation and Dr. Mohan’s Diabetes Specialities Centre, Chennai, Tamil Nadu, India
| | - Mary B. Weber
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, GA
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Mohammed K. Ali
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA
- Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, GA
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Jonathan E. Shaw
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| |
Collapse
|
24
|
Bodhini D, Morton RW, Santhakumar V, Nakabuye M, Pomares-Millan H, Clemmensen C, Fitzpatrick SL, Guasch-Ferre M, Pankow JS, Ried-Larsen M, Franks PW, Tobias DK, Merino J, Mohan V, Loos RJF. Impact of individual and environmental factors on dietary or lifestyle interventions to prevent type 2 diabetes development: a systematic review. COMMUNICATIONS MEDICINE 2023; 3:133. [PMID: 37794109 PMCID: PMC10551013 DOI: 10.1038/s43856-023-00363-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Accepted: 09/18/2023] [Indexed: 10/06/2023] Open
Abstract
BACKGROUND The variability in the effectiveness of type 2 diabetes (T2D) preventive interventions highlights the potential to identify the factors that determine treatment responses and those that would benefit the most from a given intervention. We conducted a systematic review to synthesize the evidence to support whether sociodemographic, clinical, behavioral, and molecular factors modify the efficacy of dietary or lifestyle interventions to prevent T2D. METHODS We searched MEDLINE, Embase, and Cochrane databases for studies reporting on the effect of a lifestyle, dietary pattern, or dietary supplement interventions on the incidence of T2D and reporting the results stratified by any effect modifier. We extracted relevant statistical findings and qualitatively synthesized the evidence for each modifier based on the direction of findings reported in available studies. We used the Diabetes Canada Clinical Practice Scale to assess the certainty of the evidence for a given effect modifier. RESULTS The 81 publications that met our criteria for inclusion are from 33 unique trials. The evidence is low to very low to attribute variability in intervention effectiveness to individual characteristics such as age, sex, BMI, race/ethnicity, socioeconomic status, baseline behavioral factors, or genetic predisposition. CONCLUSIONS We report evidence, albeit low certainty, that those with poorer health status, particularly those with prediabetes at baseline, tend to benefit more from T2D prevention strategies compared to healthier counterparts. Our synthesis highlights the need for purposefully designed clinical trials to inform whether individual factors influence the success of T2D prevention strategies.
Collapse
Affiliation(s)
| | - Robert W Morton
- Department of Pathology & Molecular Medicine, McMaster University, Hamilton, ON, Canada
- Population Health Research Institute, Hamilton, ON, Canada
- Department of Translational Medicine, Medical Science, Novo Nordisk Foundation, Tuborg Havnevej 19, 2900, Hellerup, Denmark
| | - Vanessa Santhakumar
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Mariam Nakabuye
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Hugo Pomares-Millan
- Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Skåne University Hospital Malmö, Malmö, Sweden
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Christoffer Clemmensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Stephanie L Fitzpatrick
- Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Marta Guasch-Ferre
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - James S Pankow
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Mathias Ried-Larsen
- Centre for Physical Activity Research, Rigshospitalet, Copenhagen, Denmark
- Institute for Sports and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Paul W Franks
- Department of Translational Medicine, Medical Science, Novo Nordisk Foundation, Tuborg Havnevej 19, 2900, Hellerup, Denmark
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Lund University Diabetes Centre, Department of Clinical Sciences, Lund University, Malmo, Sweden
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Deirdre K Tobias
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jordi Merino
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Diabetes Unit, Endocrine Division, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Viswanathan Mohan
- Madras Diabetes Research Foundation, Chennai, India
- Dr. Mohan's Diabetes Specialities Centre, Chennai, India
| | - Ruth J F Loos
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| |
Collapse
|
25
|
Mohan V. National diabetes prevention programmes in LMICs are now a necessity. Lancet Glob Health 2023; 11:e1480-e1481. [PMID: 37734780 DOI: 10.1016/s2214-109x(23)00381-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 08/04/2023] [Indexed: 09/23/2023]
Affiliation(s)
- Viswanathan Mohan
- Madras Diabetes Research Foundation, Chennai, India; Dr Mohan's Diabetes Specialities Centre, Chennai 600 086, India.
| |
Collapse
|
26
|
Mousavi SS, Namayandeh SM, Fallahzadeh H, Rahmanian M, Mollahosseini M. Comparing the effectiveness of metformin with lifestyle modification for the primary prevention of type II diabetes: a systematic review and meta-analysis. BMC Endocr Disord 2023; 23:198. [PMID: 37723440 PMCID: PMC10506297 DOI: 10.1186/s12902-023-01445-9] [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: 11/12/2022] [Accepted: 08/30/2023] [Indexed: 09/20/2023] Open
Abstract
BACKGROUND Concerning ascending trend in the prevalence of chronic type II diabetes, prevention and the development of an effective approach after the recognition of at-risk individuals is crucial. This study aims to investigate comparing the influence of lifestyle modification and metformin interventions in the prevention of type II diabetes developments. METHOD The search was conducted using PubMed, Google Scholar, Scopus and Web of Science databases. The inclusion criteria include randomized controlled trials (RCT) which studied both lifestyle modification and metformin interventions in the population above 18 years old without a history of any type of diabetes. After excluding studies with intervention time of fewer than 6 months, a systematic review and meta-analysis were performed to evaluate relative risk (RR) with a confidence interval (CI) of 95% of type II diabetes development. RESULTS Data from 5 studies were included in the meta-analysis. The population also consists of individuals with a mean age of 50 years old with BMI and FBS of 35.5 and 104.7 mg/dl respectively. Participants range of prevention years was between 2-3 years with a mean of 2.8 years. Lifestyle modification decreases the probability of the incidence of type II diabetes by 25.3% (RR: 0.747, 95% CI, 0.6-0.92) compared to the metformin intervention (p-value = 0.007). Our results indicate that long-term lifestyle modifications can prevent diabetes type II and decrease diabetes mellitus incidence down to one-quarter in comparison to metformin. CONCLUSION Lifestyle modification can be more efficacious than metformin in diminishing the incidence of type II diabetes. Therefore, lifestyle modification can be a therapeutic strategy for controlling type II diabetes incidence, especially in high-risk individuals.
Collapse
Affiliation(s)
- Sayedah Sarah Mousavi
- Department of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences and Health Services, Shohaday-E-Gomnam Blvd., Alem Sq., Yazd, Iran
| | - Seyedeh Mahdieh Namayandeh
- Center for Healthcare Data Modeling, Departments of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences and Health Services, Shohaday-E-Gomnam Blvd., Alem Sq., Yazd, Iran.
| | - Hossein Fallahzadeh
- Center for Healthcare Data Modeling, Departments of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences and Health Services, Shohaday-E-Gomnam Blvd., Alem Sq., Yazd, Iran
| | - Masoud Rahmanian
- Yazd Diabetes Research Center, Shahid Sadoughi University of Medical Sciences and Health Services, Shohaday-E-Gomnam Blvd., Alem Sq., Yazd, Iran
| | - Mehdi Mollahosseini
- Department of Community Nutrition, School of Public Health, Shahid Sadoughi University of Medical Sciences and Health Services, Shohaday-E-Gomnam Blvd., Alem Sq., Yazd, Iran
| |
Collapse
|
27
|
Patel D, Ayesha IE, Monson NR, Klair N, Patel U, Saxena A, Hamid P. The Effectiveness of Metformin in Diabetes Prevention: A Systematic Review and Meta-Analysis. Cureus 2023; 15:e46108. [PMID: 37900422 PMCID: PMC10611985 DOI: 10.7759/cureus.46108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 09/28/2023] [Indexed: 10/31/2023] Open
Abstract
Diabetes mellitus is a growing global health concern, and prevention strategies play a crucial role in reducing its burden. Metformin has been widely studied as a potential intervention for diabetes prevention, but its overall effectiveness and impact on various populations remain unclear. This study aims to provide a comprehensive synthesis of the available evidence on the effectiveness of metformin in diabetes prevention. A systematic search was conducted in PubMed, Scopus, ScienceDirect, and Google Scholar for articles published from inception to June 2023. The reference lists of the included studies were also searched to retrieve possible additional studies. Any quantitative data were analyzed using Review Manager 5.4. A P-value of 0.05 was adopted as the significance threshold. Our analysis included 17 studies with a total sample size of 30,474. Our meta-analysis included two key analyses. First, the meta-analysis evaluating the effects of metformin on prediabetes demonstrated a significant reduction in the risk of progressing to type 2 diabetes mellitus (T2DM). The pooled odds ratio (OR) was 0.65 (95% confidence interval [CI] 0.53-0.80), indicating a 35% lower odds of developing T2DM among individuals with prediabetes who received metformin interventions compared to control groups. Secondly, the meta-analysis assessing the efficacy of metformin interventions in preventing T2DM yielded a significant reduction in the risk of developing the disease. The pooled risk ratio was 0.58 (95% CI 0.44-0.77), indicating a 42% lower risk of developing T2DM in individuals receiving metformin interventions compared to those in non-metformin intervention groups. These findings provide strong evidence for the effectiveness of metformin in preventing the progression of prediabetes to T2DM and reducing the overall incidence of the disease. The review demonstrated that metformin is effective in reducing the risk of developing diabetes mellitus among individuals at risk for the disease. The findings highlight the potential of metformin as a valuable intervention for diabetes prevention, particularly in high-risk populations.
Collapse
Affiliation(s)
- Dhara Patel
- Internal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
| | - Ismat E Ayesha
- Internal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
| | - Neetha R Monson
- Internal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
| | - Nimra Klair
- Internal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
| | - Utkarsh Patel
- Internal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
| | - Ayushi Saxena
- Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
| | - Pousette Hamid
- Neurology, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
| |
Collapse
|
28
|
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.
Collapse
|
29
|
Zhang L, Zhang Y, Shen S, Wang X, Dong L, Li Q, Ren W, Li Y, Bai J, Gong Q, Kuang H, Qi L, Lu Q, Cheng W, Liu Y, Yan S, Wu D, Fang H, Hou F, Wang Y, Yang Z, Lian X, Du J, Sun N, Ji L, Li G. Safety and effectiveness of metformin plus lifestyle intervention compared with lifestyle intervention alone in preventing progression to diabetes in a Chinese population with impaired glucose regulation: a multicentre, open-label, randomised controlled trial. Lancet Diabetes Endocrinol 2023; 11:567-577. [PMID: 37414069 DOI: 10.1016/s2213-8587(23)00132-8] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 05/05/2023] [Accepted: 05/05/2023] [Indexed: 07/08/2023]
Abstract
BACKGROUND Impaired glucose regulation (defined as either impaired glucose tolerance or impaired fasting glucose) is an important risk factor for the development of diabetes. We aimed to evaluate the safety and effectiveness of metformin plus lifestyle intervention compared with lifestyle intervention alone in preventing diabetes in Chinese participants with impaired glucose regulation. METHODS We did a multicentre, open-label, randomised controlled trial at 43 endocrinology departments in general hospitals across China. Eligible participants were individuals with impaired glucose regulation (ie, impaired glucose tolerance or impaired fasting glucose, or both), men or women aged 18-70 years with a BMI of 21-32 kg/m2. Eligible participants were randomly assigned (1:1) via a computer-generated randomisation to receive either standard lifestyle intervention alone or metformin (850 mg orally once per day for the first 2 weeks and titrated to 1700 mg orally per day [850 mg twice per day]) plus lifestyle intervention. Block randomisation was used with a block size of four, stratified by glucose status (impaired fasting glucose or impaired glucose tolerance), hypertension, and use of any anti-hypertensive medication. Lifestyle intervention advice was given by investigators at all participating sites. The primary endpoint was the incidence of newly diagnosed diabetes at the end of the 2-year follow-up. Analysis was done using the full analysis set and per-protocol set. This study is registered with ClinicalTrials.gov, number NCT03441750, and is completed. FINDINGS Between April, 2017, and June, 2019, 3881 individuals were assessed for eligibility, of which 1678 (43·2%) participants were randomly assigned to either the metformin plus lifestyle intervention group (n=831) or the lifestyle intervention alone group (n=847) and received the allocated intervention at least once. During a median follow-up of 2·03 years, the incidence rate of diabetes was 17·27 (95% CI 15·19-19·56) per 100 person-years in the metformin plus lifestyle intervention group and 19·83 (17·67-22·18) per 100 person-years in the lifestyle intervention alone group. The metformin plus lifestyle intervention group showed a 17% lower risk of developing diabetes than the lifestyle intervention alone group (HR 0·83 [95% CI 0·70-0·99]; log-rank p=0·043). A higher proportion of participants in the metformin plus lifestyle intervention group reported adverse events than in the lifestyle intervention alone group, primarily due to more gastrointestinal adverse events. The percentage of participants reporting a serious adverse event was similar in both groups. INTERPRETATION Metformin plus lifestyle intervention further reduced the risk of developing diabetes than lifestyle intervention alone in Chinese people with impaired glucose regulation, showing additional benefits of combined intervention in preventing progression to diabetes without new safety concerns. FUNDING Merck Serono China, an affiliate of Merck KGaA, Darmstadt, Germany. TRANSLATION For the Chinese translation of the abstract see Supplementary Materials section.
Collapse
Affiliation(s)
- Lihui Zhang
- Department of Endocrinology and Metabolism, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Yunliang Zhang
- Department of Endocrinology and Metabolism, Baoding First Central Hospital, Baoding, Hebei, China
| | - Sheng'ai Shen
- Department of Endocrinology and Metabolism, Yanji Hospital, Yanji, Yanbian Korean Autonomous Prefecture, Jilin, China
| | - Xueying Wang
- Department of Endocrinology and Metabolism, Jinzhou Central Hospital, Jinzhou, Liaoning, China
| | - Luling Dong
- Department of Endocrinology and Metabolism, Zhangjiakou First Hospital, Zhangjiakou, Hebei, China
| | - Qiuyun Li
- Department of Endocrinology and Metabolism, Kailuan General Hospital, Tangshan, Hebei, China
| | - Weidong Ren
- Department of Endocrinology and Metabolism, First Affiliated Hospital of Hebei North University, Zhangjiakou, Hebei, China
| | - Yufeng Li
- Department of Endocrinology and Metabolism, Beijing Pinggu Hospital, Beijing, China
| | - Jianling Bai
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Qiuhong Gong
- Department of Endocrinology, Fuwai Hospital and Chinese Academy of Medical Sciences, Beijing, China
| | - Hongyu Kuang
- Department of Endocrinology and Metabolism, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Lin Qi
- Department of Endocrinology and Metabolism, Beijing Yanhua Hospital, Beijing, China
| | - Qiang Lu
- Department of Endocrinology, First Hospital of Qinhuangdao, Qinhuangdao, Hebei, China
| | - Wenli Cheng
- Department of Hypertension, Beijing Anzhen Hospital, Beijing, China
| | - Yanjie Liu
- Department of Endocrinology and Hematology, Affiliated Hospital of Jilin Medical University, Jilin city, Jilin, China
| | - Shuang Yan
- Department of Endocrinology and Metabolism, Fourth Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Donghong Wu
- Department of Endocrinology, Harbin The First Hospital, Harbin, Heilongjiang, China
| | - Hui Fang
- Department of Endocrinology, Tangshan Gongren Hospital, Tangshan, Hebei, China
| | - Fang Hou
- Community Health Service Center, Jiefang Road, Tanggu Street, Binhai New Area, Tianjin, China
| | - Yingju Wang
- Department of Endocrinology, Beijing Miyun District Hospital, Beijing, China
| | - Zhixia Yang
- Department of Endocrinology, The People's Hospital of Langfang, Langfang, Hebei, China
| | - Xu Lian
- Department of Endocrinology and Metabolism, Hongqi Hospital, Mudanjiang Medical University, Mudanjiang, Heilongjiang, China
| | - Jianling Du
- Department of Endocrinology, The First affiliated hospital of Dalian Medical University, Dalian, Liaoning, China
| | - Ningling Sun
- Department of Hypertension, Peking University People's Hospital, Beijing, China.
| | - Linong Ji
- Department of Endocrinology and Metabolism, Peking University People's Hospital, Beijing, China.
| | - Guangwei Li
- Department of Endocrinology, Fuwai Hospital and Chinese Academy of Medical Sciences, Beijing, China.
| |
Collapse
|
30
|
Watkins DA, Ali MK. Measuring the global burden of diabetes: implications for health policy, practice, and research. Lancet 2023; 402:163-165. [PMID: 37356449 DOI: 10.1016/s0140-6736(23)01287-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 06/19/2023] [Indexed: 06/27/2023]
Affiliation(s)
- David A Watkins
- Division of General Internal Medicine, Department of Medicine, University of Washington, Seattle, WA, USA; Department of Global Health, University of Washington, Seattle, WA 98195, USA.
| | - 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
| |
Collapse
|
31
|
Sathish T. Precision prevention of type 2 diabetes: An approach to revitalize current lifestyle interventions. Diabetes Res Clin Pract 2023; 200:110722. [PMID: 37207945 PMCID: PMC10427778 DOI: 10.1016/j.diabres.2023.110722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 05/11/2023] [Indexed: 05/21/2023]
Affiliation(s)
- Thirunavukkarasu Sathish
- Department of Family and Preventive Medicine, School of Medicine, Emory University, Atlanta, GA, USA; Emory Global Diabetes Research Center, Woodruff Health Sciences Center, Emory University, Atlanta, GA, USA.
| |
Collapse
|
32
|
Bodhini D, Morton RW, Santhakumar V, Nakabuye M, Pomares-Millan H, Clemmensen C, Fitzpatrick SL, Guasch-Ferre M, Pankow JS, Ried-Larsen M, Franks PW, Tobias DK, Merino J, Mohan V, Loos RJF. Role of sociodemographic, clinical, behavioral, and molecular factors in precision prevention of type 2 diabetes: a systematic review. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.05.03.23289433. [PMID: 37205385 PMCID: PMC10187453 DOI: 10.1101/2023.05.03.23289433] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
The variability in the effectiveness of type 2 diabetes (T2D) preventive interventions highlights the potential to identify the factors that determine treatment responses and those that would benefit the most from a given intervention. We conducted a systematic review to synthesize the evidence to support whether sociodemographic, clinical, behavioral, and molecular characteristics modify the efficacy of dietary or lifestyle interventions to prevent T2D. Among the 80 publications that met our criteria for inclusion, the evidence was low to very low to attribute variability in intervention effectiveness to individual characteristics such as age, sex, BMI, race/ethnicity, socioeconomic status, baseline behavioral factors, or genetic predisposition. We found evidence, albeit low certainty, to support conclusions that those with poorer health status, particularly those with prediabetes at baseline, tend to benefit more from T2D prevention strategies compared to healthier counterparts. Our synthesis highlights the need for purposefully designed clinical trials to inform whether individual factors influence the success of T2D prevention strategies.
Collapse
|
33
|
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: 10] [Impact Index Per Article: 5.0] [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.
Collapse
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
| |
Collapse
|
34
|
Bose C, Kinge AD, Sultana J, Biswas AK, Bhattacharya K, Syamal AK. Impact of a lifestyle intervention program on cardio-metabolic parameters among obese adults: A comparative population-based study in West Bengal, India. J Med Life 2023; 16:559-570. [PMID: 37305820 PMCID: PMC10251381 DOI: 10.25122/jml-2022-0006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Accepted: 08/26/2022] [Indexed: 06/13/2023] Open
Abstract
The obesity epidemic is not only limited to high-income or urbanized societies, but has also become prevalent among rural communities, even in India. Approaches to modifiable behaviors, like unhealthy dietary habits or a sedentary lifestyle, could bring positive results among obese populations. This research aimed to assess the effectiveness of lifestyle intervention programs to prevent obesity and cardio-metabolic risks among Bengali obese adults (Body Mass Index of 25-30kg/m2). The population was selected from rural and urban communities of Hooghly district in west Bengal, India and included 121 participants (20-50 years), divided into four groups (rural male, rural female, urban male, and urban female) who underwent a 12-month intervention program. Anthropometric parameters, systolic and diastolic blood pressure, biochemical parameters (fasting blood glucose, fasting plasma insulin, Homeostatic Model Assessment for Insulin Resistance [HOMA-IR] and lipid profile), dietary habits, and physical activity profiles were assessed before the study (baseline), after 12 months of intervention (post-intervention), and after 24 months (follow-up), among all groups, to evaluate changes in data within and between the groups (rural vs. urban). The results showed a significant decline in anthropometric parameters and fasting blood glucose levels among all intervention groups, HOMA-IR in rural females, and serum triglyceride levels in urban groups. A significant improvement was noted regarding dietary habits and physical activity, even during follow-up. The impact of the intervention program did not show any rural-urban difference. The lifestyle intervention program was effective in reducing obesity and related health risks and promoting a healthy lifestyle among the target population.
Collapse
Affiliation(s)
- Chaitali Bose
- Post-Graduate Department of Physiology, Hooghly Mohsin College, University of Burdwan, Hooghly, West-Bengal, India
| | - Amol Dilip Kinge
- Department of Community Medicine, Government Medical College, Nandurbar, Maharastra, India
| | - Julekha Sultana
- Department of Community Medicine, Government Medical College, Nandurbar, Maharastra, India
| | - Ajoy Kumar Biswas
- Department of Medicine, G.D Hospital and Diabetes Institute Kolkata, Kolkata, West-Bengal, India
| | - Koushik Bhattacharya
- Department of Physiotherapy, School of Allied Health Sciences, Swami Vivekananda University, Barrackpore, West-Bengal, India
| | - Alak Kumar Syamal
- Post-Graduate Department of Physiology, Hooghly Mohsin College, University of Burdwan, Hooghly, West-Bengal, India
| |
Collapse
|
35
|
A multicentric, randomized, controlled trial of yoga and fenugreek in prevention of type 2 diabetes mellitus: methodological details—the Indian Prevention of Diabetes Study (IPDS). Int J Diabetes Dev Ctries 2023. [DOI: 10.1007/s13410-023-01183-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/06/2023] Open
|
36
|
Type 2 Diabetes Prevention Programs-From Proof-of-Concept Trials to National Intervention and Beyond. J Clin Med 2023; 12:jcm12051876. [PMID: 36902668 PMCID: PMC10003211 DOI: 10.3390/jcm12051876] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 02/19/2023] [Accepted: 02/21/2023] [Indexed: 03/08/2023] Open
Abstract
The prevention of type 2 diabetes (T2D) in high-risk people with lifestyle interventions has been demonstrated by several randomized controlled trials. The intervention effect has sustained up to 20 years in post-trial monitoring of T2D incidence. In 2000, Finland launched the national T2D prevention plan. For screening for high T2D risk, the non-laboratory Finnish Diabetes Risk Score was developed and widely used, also in other countries. The incidence of drug-treated T2D has decreased steadily since 2010. The US congress authorized public funding for a national diabetes prevention program (NDPP) in 2010. It was built around a 16-visit program that relies on referral from primary care and self-referral of persons with either prediabetes or by a diabetes risk test. The program uses a train-the-trainer program. In 2015 the program started the inclusion of online programs. There has been limited implementation of nationwide T2D prevention programs in other countries. Despite the convincing results from RCTs in China and India, no translation to the national level was introduced there. T2D prevention efforts in low-and middle-income countries are still limited, but results have been promising. Barriers to efficient interventions are greater in these countries than in high-income countries, where many barriers also exist. Health disparities by socioeconomic status exist for T2D and its risk factors and form a challenge for preventive interventions. It seems that a stronger commitment to T2D prevention is needed, such as the successful WHO Framework Convention on Tobacco Control, which legally binds the countries to act.
Collapse
|
37
|
Zhang X, Yue Y, Liu S, Cong X, Wang W, Li J. Relationship between BMI and risk of impaired glucose tolerance and impaired fasting glucose in Chinese adults: a prospective study. BMC Public Health 2023; 23:14. [PMID: 36597050 PMCID: PMC9811686 DOI: 10.1186/s12889-022-14912-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 12/20/2022] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Current studies in most Western countries have largely focused on body mass index (BMI) as an important risk factor for impaired glucose tolerance (IGT) and impaired fasting glucose (IFG), which have different pathophysiological bases. In people with obesity, the prevalence of IGT is higher and the prevalence of IFG is lower. The prevalence of IGT in the Asian population is higher than that in the white population, and the obesity rate in China is still increasing. However, few cohort studies explore the relationship between BMI and the incidence of IGT and IFG in China. We aimed to explore the relationship between BMI and the risk of IGT and IFG in Chinese adults and analyze the differences between them. METHODS The baseline data were obtained from the 2010 China Chronic Disease and Risk Factor Surveillance, of which 20 surveillance sites were followed up from 2016 to 2017. Finally, in this study, a total of 5,578 studies were grouped into BMI categories of underweight (BMI < 18.5 kg/m2), normal weight (18.5-23.9 kg/m2), overweight (24.0-27.9 kg/m2), and obesity (≥ 28.0 kg/m2). We used the unconditional logistic regression model to analyze the relationship between BMI and the risk of IGT and IFG. RESULTS During an average follow-up of 6.4 years, 562 developed IGT and 257 developed IFG. After age, gender, urban and rural areas, physical activity, family history of diabetes, hypertension, abdominal obesity, dyslipidemia, and other factors were adjusted, overweight increased the risk of IGT by 35% [odds ratio (OR) 1.35, 95% confidence interval (CI) 1.08-1.70], and obesity increased the risk of IGT by 77% (OR 1.77, 95% CI 1.27-1.47). After the factors consistent with the above were adjusted, only obesity increased the risk of IFG by 122% (OR 2.22, 95% CI 1.39-3.54). CONCLUSIONS In China, obesity is an important risk factor for IGT and IFG, and the risk of IGT increases during the overweight stage.
Collapse
Affiliation(s)
- Xin Zhang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Diseases Control and Prevention, Beijing, 100050, China
| | - Yankun Yue
- Fu Xing Hospital, Capital Medical University, Beijing, 100045, China
| | - Shaobo Liu
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Diseases Control and Prevention, Beijing, 100050, China
| | - Xiangfeng Cong
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Diseases Control and Prevention, Beijing, 100050, China
| | - Wenjuan Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Diseases Control and Prevention, Beijing, 100050, China
| | - Jianhong Li
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Diseases Control and Prevention, Beijing, 100050, China.
| |
Collapse
|
38
|
Sagastume D, Siero I, Mertens E, Cottam J, Colizzi C, Peñalvo JL. The effectiveness of lifestyle interventions on type 2 diabetes and gestational diabetes incidence and cardiometabolic outcomes: A systematic review and meta-analysis of evidence from low- and middle-income countries. EClinicalMedicine 2022; 53:101650. [PMID: 36119561 PMCID: PMC9475282 DOI: 10.1016/j.eclinm.2022.101650] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 07/19/2022] [Accepted: 08/12/2022] [Indexed: 10/27/2022] Open
Abstract
BACKGROUND As lifestyle modification offers a unique strategy to prevent diabetes, we evaluated the effectiveness of lifestyle interventions in the prevention of type 2 diabetes and gestational diabetes in low- and middle-income countries (LMICs). METHODS We did a systematic literature review and meta-analysis. We searched MEDLINE, Embase, Web of Science, and Cochrane Library for randomised controlled trials published in English, Spanish, French, and Portuguese between 1 January 2000 and 15 June 2022, evaluating multi-target and multi-component lifestyle interventions in at-risk populations conducted in LMICs. The main outcomes were incidence of type 2 diabetes and gestational diabetes, and indicators of glycaemic control. We assessed the methodological quality of the studies using the Cochrane risk of bias tool. Inverse-variance random-effects meta-analyses estimated the overall effect sizes. Sources of heterogeneity and study bias were evaluated. The study protocol was registered in PROSPERO (CRD42021279174). FINDINGS From 14 330 abstracts, 48 (0·3%) studies with 50 interventions were eligible of which 56% were conducted in lower-middle-income countries, 44% in upper-middle, and none in low-income. 54% of the studies were assessed as moderate risk of bias and 14% as high risk. A median of 246 (IQR 137-511) individuals participated in the interventions with a median duration of 6 (3-12) months. Lifestyle interventions decreased the incidence risk ratio of type 2 diabetes by 25% (0·75 [95% CI 0·61 to 0·91]), and reduced the levels of HbA1c by 0·15% [-0·25 to -0·05], fasting plasma glucose by 3·44 mg/dL [-4·72 to -2·17], and 2-hr glucose tolerance by 4·18 mg/dL [-7·35 to -1·02]. No publication bias was suggested for these outcomes. High levels of heterogeneity (I²≥ 81%) were found in most meta-analyses. Exploration using meta-regressions could not identify any explanatory variable, except for fasting glucose for which the quality score of the articles seems to be an effect modifier decreasing slightly the heterogeneity (72%) in the low risk of bias pooled estimate. The effect on gestational diabetes could not be evaluated due to the scarcity of available studies. INTERPRETATION Comprehensive lifestyle interventions are effective strategies to prevent type 2 diabetes among at-risk populations in LMICs. The heterogeneity identified in our results should be considered when using these interventions to address the onset of type 2 diabetes. FUNDING None.
Collapse
Affiliation(s)
- Diana Sagastume
- Corresponding author at: Institute of Tropical Medicine, Nationalestraat 155, 2000 Antwerp, Belgium.
| | | | | | | | | | | |
Collapse
|
39
|
Yeung KF, Lee YQ, Chong MFF, Gandhi M, Lam AYR, Julianty S, Tan GCS, Ho ETL, Goh SY, Tan GSW, Shum EJW, Finkelstein EA, Jafar TH, van Dam RM, Teoh YL, Thumboo J, Bee YM. Baseline characteristics of participants in the Pre-Diabetes Interventions and Continued Tracking to Ease-out Diabetes (Pre-DICTED) Program. BMJ Open Diabetes Res Care 2022; 10:e002966. [PMID: 36220198 PMCID: PMC9558793 DOI: 10.1136/bmjdrc-2022-002966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 09/25/2022] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVE The Pre-Diabetes Interventions and Continued Tracking to Ease-out Diabetes (Pre-DICTED) Program is a diabetes prevention trial comparing the diabetes conversion rate at 3 years between the intervention group, which receives the incentivized lifestyle intervention program with stepwise addition of metformin, and the control group, which receives the standard of care. We describe the baseline characteristics and compare Pre-DICTED participants with other diabetes prevention trials cohort. RESEARCH DESIGN AND METHODS Participants were aged between 21 and 64 years, overweight (body mass index (BMI) ≥23.0 kg/m2), and had pre-diabetes (impaired fasting glucose (IFG) and/or impaired glucose tolerance (IGT)). RESULTS A total of 751 participants (53.1% women) were randomized. At baseline, mean (SD) age was 52.5 (8.5) years and mean BMI (SD) was 29.0 (4.6) kg/m2. Twenty-three per cent had both IFG and IGT, 63.9% had isolated IGT, and 13.3% had isolated IFG. Ethnic Asian Indian participants were more likely to report a family history of diabetes and had a higher waist circumference, compared with Chinese and Malay participants. Women were less likely than men to meet the physical activity recommendations (≥150 min of moderate-intensity physical activity per week), and dietary intake varied with both sex and ethnicity. Compared with other Asian diabetes prevention studies, the Pre-DICTED cohort had a higher mean age and BMI. CONCLUSION The Pre-DICTED cohort represents subjects at high risk of diabetes conversion. The study will evaluate the effectiveness of a community-based incentivized lifestyle intervention program in an urban Asian context.
Collapse
Affiliation(s)
- Kar-Fu Yeung
- Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore
| | - Yu Qi Lee
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Mary Foong Fong Chong
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
- Singapore Institute for Clinical Sciences, Brenner Centre for Molecular Medicine, Agency for Science, Technology, and Research (A*STAR), Singapore
| | - Mihir Gandhi
- Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore
- Biostatistics, Singapore Clinical Research Institute, Singapore
- The Center for Child Health Research, Tampere University, Tampere, Finland
| | - Amanda Yun Rui Lam
- Department of Endocrinology, Singapore General Hospital, Singapore
- SingHealth Duke-NUS Diabetes Centre, Singapore
| | - Selly Julianty
- SingHealth Duke-NUS Diabetes Centre, Singapore
- Regional Health System Office, SingHealth, Singapore
| | | | - Emily Tse Lin Ho
- Department of Endocrinology, Singapore General Hospital, Singapore
- Regional Health System Office, SingHealth, Singapore
| | - Su-Yen Goh
- Department of Endocrinology, Singapore General Hospital, Singapore
| | - Gavin Siew Wei Tan
- SingHealth Duke-NUS Diabetes Centre, Singapore
- Surgical Retinal Department, Singapore National Eye Centre, Singapore
| | | | - Eric A Finkelstein
- Health Services and Systems Research, Duke-NUS Medical School, Singapore
| | - Tazeen H Jafar
- Health Services and Systems Research, Duke-NUS Medical School, Singapore
| | - Rob M van Dam
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
- Department of Nutrition and Exercise Sciences and Epidemiology, Milken Institute School of Public Health, George Washington University, Washington DC, Washington DC, USA
| | - Yee Leong Teoh
- Ministry of Health Office of Healthcare Transformation, Government of Singapore, Singapore
| | - Julian Thumboo
- Department of Rheumatology and Immunology, Singapore General Hospital, Singapore
| | - Yong Mong Bee
- Department of Endocrinology, Singapore General Hospital, Singapore
- SingHealth Duke-NUS Diabetes Centre, Singapore
| |
Collapse
|
40
|
Sagastume D, Sibongwere DK, Kidima O, Kembo DM, N’keto JM, Dimbelolo JC, Nkakirande DB, Kabundi JCK, Peñalvo JL. Improving lifestyle behaviours among women in Kisantu, the Democratic Republic of the Congo: A protocol of a cluster randomised controlled trial. PLoS One 2022; 17:e0274517. [PMID: 36084047 PMCID: PMC9462713 DOI: 10.1371/journal.pone.0274517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 08/03/2022] [Indexed: 11/18/2022] Open
Abstract
Introduction As the prevalence of obesity among women of reproductive age is increasing in sub-Saharan Africa, the burden of lifestyle-related conditions is expected to rise quickly. This study aims to develop and evaluate a multi-component health promotion programme for a healthy lifestyle to ultimately prevent the onset of type 2 diabetes and gestational diabetes among adult women in Kisantu, the Democratic Republic of the Congo. Methods and analysis This study is a cluster randomised controlled trial whereby two groups of three healthcare centres each, matched by population size coverage and geographical area, will be randomised to an intervention or a comparison group. Adult women of reproductive age (18–49 years), non-pregnant or first-trimester pregnant, will be recruited from the healthcare centres. 144 women in the intervention centres will follow a 24-month multi-component health promotion programme based on educational and motivational strategies whereas the comparison centres (144 participants) will be limited to a basic educational strategy. The programme will be delivered by trained peer educators and entails individualised education sessions, education and physical activity group activities, and focus groups. Topics of an optimal diet, physical activity, weight management and awareness of type 2 and gestational diabetes will be covered. The primary outcome is the adherence to a healthy lifestyle measured by a validated closed-ended questionnaire and secondary outcomes include anthropometric measurements, clinical parameters, diet diversity and the level of physical activity. Participants from both groups will be assessed at baseline and every 6 months by trained health professionals from the recruiting healthcare centres. Data will be summarised by measures of central tendency for continuous outcomes, and frequency distribution and percentages for categorical data. The primary and secondary outcomes will be quantified using statistical mixed models. Ethics This research was approved by the Institutional Review Board of the Institute of Tropical Medicine Antwerp in Belgium (IRB/RR/AC/137) and the Ethical Committee of the University of Kinshasa in the Democratic Republic of the Congo (ESP/CE/130/2021). Any substantial change to the study protocol must be approved by all the bodies that have approved the initial protocol, before being implemented. Also, this journal will be informed regarding any protocol modification. Written informed consent will be required and obtained for all participants. No participant may be enrolled on the study until written informed consent has been obtained. Trial registration number NCT05039307.
Collapse
Affiliation(s)
- Diana Sagastume
- Department of Public Health, Non-Communicable Diseases Unit, Institute of Tropical Medicine, Antwerp, Belgium
- * E-mail:
| | | | - Olivier Kidima
- Memisa, Brussels, Belgium
- Memisa Representation in Kinshasa, Kinshasa, Democratic Republic of the Congo
| | - Diertho Mputu Kembo
- BDOM-Kisantu Centre Pastoral/Mission Catholique Kisantu, Kisantu, Democratic Republic of the Congo
| | | | | | - Dorothée Bulemfu Nkakirande
- Division des Maladies Non Transmissibles, Direction Surveillance Epidémiologique, Ministère de la Santé, Kinshasa, Democratic Republic of the Congo
| | | | - José L. Peñalvo
- Department of Public Health, Non-Communicable Diseases Unit, Institute of Tropical Medicine, Antwerp, Belgium
| |
Collapse
|
41
|
Nanditha A, Susairaj P, Raghavan A, Vinitha R, Satheesh K, Nair DR, Jeyaraj S, Snehalatha C, Ramachandran A. Concordance in incidence of diabetes among persons with prediabetes detected using either oral glucose tolerance test or glycated haemoglobin. Prim Care Diabetes 2022; 16:440-444. [PMID: 35337771 DOI: 10.1016/j.pcd.2022.02.004] [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: 05/17/2021] [Revised: 02/07/2022] [Accepted: 02/08/2022] [Indexed: 10/18/2022]
Abstract
AIMS To study the concordance in the incidence of type 2 diabetes (T2DM) between cohorts with prediabetes, selected either by oral glucose tolerance test (OGTT) or glycosylated haemoglobin (HbA1c) at two years in a real world situation. METHODS Two cohorts with impaired glucose tolerance (IGT) were selected from the non-interventional arm of the Indian diabetes prevention programmes; a group selected by using OGTT (Cohort 1, n = 498), another selected based on the HbA1c criterion (Cohort 2, n = 504). Clinical and biochemical data collected for 24 months at 6 monthly intervals were used in assessing the cumulative incidence of T2DM using the respective diagnostic criteria. Intra and inter group comparisons were analysed using appropriate statistical tests. A multiple logistic regression analysis was used to identify the variables significantly associated with the incidence of diabetes. RESULTS Incidence of diabetes in both cohorts were similar at 12 and 24 months with either of the two criteria (25.3% with glucose and 27.5% with HbA1c, p = 0.41 at 24 months). The multivariate analysis confirmed the results. Only baseline waist circumference was positively associated with the incidence. CONCLUSION Both OGTT and HbA1c have similar utility and validity in identifying persons with IGT. Persons identified with either of the criterion had similar incidence of T2DM among Asian Indians.
Collapse
Affiliation(s)
- Arun Nanditha
- India Diabetes Research Foundation and Dr. A. Ramachandran's Diabetes Hospitals, Chennai, India
| | - Priscilla Susairaj
- India Diabetes Research Foundation and Dr. A. Ramachandran's Diabetes Hospitals, Chennai, India
| | - Arun Raghavan
- India Diabetes Research Foundation and Dr. A. Ramachandran's Diabetes Hospitals, Chennai, India
| | - Ramachandran Vinitha
- India Diabetes Research Foundation and Dr. A. Ramachandran's Diabetes Hospitals, Chennai, India
| | - Krishnamoorthy Satheesh
- India Diabetes Research Foundation and Dr. A. Ramachandran's Diabetes Hospitals, Chennai, India
| | - Dhruv Rajesh Nair
- India Diabetes Research Foundation and Dr. A. Ramachandran's Diabetes Hospitals, Chennai, India
| | - Santhosh Jeyaraj
- India Diabetes Research Foundation and Dr. A. Ramachandran's Diabetes Hospitals, Chennai, India
| | - Chamukuttan Snehalatha
- India Diabetes Research Foundation and Dr. A. Ramachandran's Diabetes Hospitals, Chennai, India
| | - Ambady Ramachandran
- India Diabetes Research Foundation and Dr. A. Ramachandran's Diabetes Hospitals, Chennai, India.
| |
Collapse
|
42
|
Saboo B, Misra A, Kalra S, Mohan V, Aravind SR, Joshi S, Chowdhury S, Sahay R, Kesavadev J, John M, Kapoor N, Das S, Krishnan D, Salis S. Role and importance of high fiber in diabetes management in India. Diabetes Metab Syndr 2022; 16:102480. [PMID: 35594690 DOI: 10.1016/j.dsx.2022.102480] [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: 12/28/2021] [Revised: 03/31/2022] [Accepted: 04/02/2022] [Indexed: 11/16/2022]
Abstract
BACKGROUND & AIMS India is facing a triple burden of pre-diabetes, diabetes, and obesity. Unhealthy eating habits and physical inactivity have been linked to the onset and progression of type 2 diabetes mellitus (T2DM). Despite dietary recommendations, individuals consume inadequate amounts or unsuitable type of dietary fiber (DF) which needs correction. An Expert group attempted to review and report on the role and importance of high DF in the management of T2DM and offer practical guidance on high fiber use in daily diet. METHODOLOGY Twelve diabetologists and two expert dietitians from India were chosen to ensure diversity of the members both in professional interest and cultural background. The authors convened virtually for one group meeting and actively participated in a detailed discussion. Multiple reviews of the draft document followed by focused teleconference calls & email helped to reach consensus on final recommendations between Aug 2021 and Dec 2021. RESULTS Evidence has shown that medical nutrition therapy (MNT) is a valuable approach and an essential component of T2DM prevention and management. Studies have shown that fiber rich diabetes nutrition (FDN) has multi-systemic health benefits, including, improvement in glycemic control, reduction in glucose spikes, decrease in hyperinsulinemia, improvement in plasma lipid concentrations and weight management in T2DM patients. CONCLUSION A high fiber diet is vital for people with diabetes and associated conditions. Increasing fiber intake, preferably through food or through dietary supplement, may help. Fiber rich diabetes nutrition (FDN) is recommended in order to prevent and manage T2DM.
Collapse
Affiliation(s)
- Banshi Saboo
- DiaCare - A Complete Diabetes Care Centre, Ahmedabad, Gujarat, India.
| | - Anoop Misra
- Fortis C-DOC Center of Excellence for Diabetes, Metabolic Diseases, And Endocrinology, New Delhi, India
| | | | - V Mohan
- Dr. Mohan's Diabetes Specialties Centre, Chennai, India
| | - S R Aravind
- Diacon Hospital, Bengaluru, Karnataka, India
| | - Shashank Joshi
- Department of Diabetology and Endocrinology, Lilavati Hospital & Research Centre, Maharashtra, Mumbai, India
| | - Subhankar Chowdhury
- Dept. of Endocrinology, IPGME & R and SSKM Hospital, Kolkata, West Bengal, India
| | - Rakesh Sahay
- Department of Endocrinology, Aster Prime Hospital, Hyderabad, Telangana, India
| | | | - Mathew John
- Providence Endocrine and Diabetes Specialty Centre, Trivandrum, Kerala, India
| | - Nitin Kapoor
- Department of Endocrinology, Diabetes & Metabolism, CMC, Vellore, Tamil Nādu, India
| | - Sambit Das
- Department of Endocrinology, Apollo Hospitals, Bhubaneswar, Orissa, India
| | - Dharini Krishnan
- DV Living Science Enterprise Pvt Ltd, Mylapore, Chennai, Tamil Nadu, India
| | - Sheryl Salis
- Nurture Health Solutions, Mumbai, Maharashtra, India
| |
Collapse
|
43
|
Wang W, Lv J, Yu C, Guo Y, Pei P, Zhuang Z, Yang L, Millwood IY, Walters RG, Chen Y, Du H, Wu X, Chen J, Chen Z, Clarke R, Huang T, Li L. Lifestyle factors and fetal and childhood origins of type 2 diabetes: a prospective study of Chinese and European adults. Am J Clin Nutr 2022; 115:749-758. [PMID: 34698828 DOI: 10.1093/ajcn/nqab359] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 10/19/2021] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Early-life development plays a key role in adult type 2 diabetes (T2D), but the extent to which this can be attenuated by lifestyle is unknown. OBJECTIVES The aim was to investigate the independent relevance of genetic predisposition to low birth weight and childhood obesity for T2D, and their attenuation, by adherence to a healthy lifestyle in adulthood. METHODS Genetic risk scores (GRSs) were estimated for birth weight and childhood BMI with genetic risk categories according to their quintiles in 90,029 and 321,225 participants from the China Kadoorie Biobank (CKB; mean age, 53.0 y) and UK Biobank (UKB; 56.1 y). Healthy lifestyle scores were defined on noncurrent smoking, moderate alcohol consumption, healthy diet, regular physical activity, and nonobesity, and categorized into healthy (4∼5 factors), intermediate (2∼3 factors), and unhealthy (0∼1 factor) lifestyle. RESULTS GRSs for low birth weight and childhood BMI were associated with higher T2D risks. Healthy lifestyle was related to lower T2D risk, and there was an additive interaction with increasing childhood BMI GRS and decreasing healthy lifestyle factors on T2D risk, whereas no additive interaction was observed for birth weight. Participants with a healthy compared with an unhealthy lifestyle had a 68% (HR: 0.32; 95% CI: 0.22, 0.47) and 77% (0.23; 0.19, 0.28) lower T2D risk among participants at high genetic risk (lowest quintile) of low birth weight in the CKB and UKB. Among participants with high genetic risk (highest quintile) of childhood obesity, compared with those with an unhealthy lifestyle, adherence to a healthy lifestyle was associated with a 69% (0.31; 0.22, 0.46) and 80% (0.20; 0.17, 0.25) lower risk of T2D in the CKB and UKB. CONCLUSIONS Genetic predisposition to low birth weight and childhood obesity were associated with higher risk of adult T2D and these excess risks were attenuated by adherence to a healthy lifestyle in adulthood, particularly among those at high genetic risk of childhood obesity.
Collapse
Affiliation(s)
- Wenxiu Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China
- Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China
| | - Yu Guo
- Chinese Academy of Medical Sciences, Beijing, China
| | - Pei Pei
- Chinese Academy of Medical Sciences, Beijing, China
| | - Zhenhuang Zhuang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Ling Yang
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, United Kingdom
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Iona Y Millwood
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, United Kingdom
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Robin G Walters
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, United Kingdom
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Yiping Chen
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, United Kingdom
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Huaidong Du
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, United Kingdom
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | | | - Junshi Chen
- China National Center for Food Safety Risk Assessment, Beijing, China
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Robert Clarke
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing, China
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness and Response, Beijing, China
| |
Collapse
|
44
|
Dutt C, Nunes Salles JE, Joshi S, Nair T, Chowdhury S, Mithal A, Mohan V, Kasliwal R, Sharma S, Tijssen J, Tandon N. Risk Factors Analysis and Management of Cardiometabolic-Based Chronic Disease in Low- and Middle-Income Countries. Diabetes Metab Syndr Obes 2022; 15:451-465. [PMID: 35210795 PMCID: PMC8858768 DOI: 10.2147/dmso.s333787] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Accepted: 11/19/2021] [Indexed: 12/21/2022] Open
Abstract
The epidemic of obesity or adiposity-based chronic diseases presents a significant challenge with the rising prevalence of morbidities and mortality due to atherosclerotic cardiovascular diseases (ASCVD), especially in low- and middle-income countries (LMIC). The underlying pathophysiology of metabolic inflexibility is a common thread linking insulin resistance to cardiometabolic-based chronic disease (CMBCD), including dysglycemia, hypertension, and dyslipidemia progressing to downstream ASCVD events. The complex CMBCD paradigm in the LMIC population within the socio-economic and cultural context highlights considerable heterogeneity of disease predisposition, clinical patterns, and socio-medical needs. This review intends to summarize the current knowledge of CMBCD. We describe recently established or emerging trends for managing risk factors, assessment tools for evaluating ASCVD risk, and various pharmacological and non-pharmacological measures particularly relevant for LMICs. A CMBCD model positions insulin resistance and β-cell dysfunction at the summit of the disease spectrum may improve outcomes at a lower cost in LMICs. Despite identifying multiple pathophysiologic disturbances constituting CMBCD, a large percentage of the patient at risk for ASCVD remains undefined. Targeting dysglycemia, dyslipidemia, and hypertension using antihypertensive, statins, anti-glycemic, and antiplatelet agents has reduced the incidence of ASCVD. Thus, primordial prevention targeting pathophysiological changes that cause abnormalities in adiposity and primary prevention by detecting and managing risk factors remains the foundation for CMBCD management. Therefore, targeting pathways that address mitochondrial dysfunction would exert a beneficial effect on metabolic inflexibility that may potentially correct insulin resistance, β cell dysfunction and, consequently, would be therapeutically effective across the entire continuum of CMBCD.
Collapse
Affiliation(s)
- Chaitanya Dutt
- Research and Development, Torrent Pharmaceuticals Ltd, Ahmedabad, Gujarat, India
| | | | - Shashank Joshi
- Department of Endocrinology, Lilavati Hospital, Mumbai, Maharashtra, India
| | - Tiny Nair
- Department of Cardiology, PRS Hospital, Thiruvananthapuram, Kerala, India
| | - Subhankar Chowdhury
- Department of Endocrinology, Institute of Post-Graduate Medical Education and Research and Seth Sukhlal Karnani Memorial Hospital, Kolkata, West Bengal, India
| | - Ambrish Mithal
- Department of Endocrinology & Diabetes, Max Healthcare, New Delhi, India
| | | | | | - Satyawan Sharma
- Department of Cardiology, Bombay Hospital and Medical Research Center, Mumbai, Maharashtra, India
| | - Jan Tijssen
- Academic Medical Center - University of Amsterdam, Amsterdam, the Netherlands
| | - Nikhil Tandon
- Department of Endocrinology, All India Institute of Medical Sciences, New Delhi, India
| |
Collapse
|
45
|
Mathews E, Sathish T, Joseph A, Kodapally B, Thulaseedharan JV, Narayan KMV, Oldenburg B, Thankappan KR. Effectiveness and implementation of a lifestyle modification intervention for women with isolated impaired fasting glucose: Study protocol for a hybrid type 2 study in Kerala, India. Wellcome Open Res 2022; 7:62. [PMID: 36865369 PMCID: PMC9971662 DOI: 10.12688/wellcomeopenres.17631.1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/01/2022] [Indexed: 01/21/2023] Open
Abstract
Background: Isolated impaired fasting glucose (i-IFG) constitutes a major group in the prediabetic spectrum among Indians, and thus it is imperative to identify effective diabetes prevention strategies. This study aims to evaluate the effects of an intensive community-based lifestyle modification program on regression to normoglycemia among women with i-IFG, compared to a control group at 24 months. The study also aims to evaluate the implementation of the intervention, via both process and implementation outcomes. Methods: We will use a hybrid design (Effectiveness-implementation hybrid type 2 trial) to test the effectiveness and implementation of the lifestyle modification intervention. Effectiveness is evaluated using a randomized controlled trial among 950 overweight or obese women, aged 30 to 60 years, with i-IFG on an oral glucose tolerance test in the Indian state of Kerala. The intervention involves an intensive lifestyle modification program through group and individually mentored sessions using behavioural determinants and behavioural change techniques. The intervention group will receive the intervention for a period of 12 months and the control group will receive general health advice through a health education booklet. Data on behavioural, clinical, and biochemical measures will be collected using standard methods at 12 and 24 months. The primary outcome will be regression to normoglycemia at 24 months, as defined by the American Diabetes Association criteria. Discussion: This study will provide the first evidence on the effects of lifestyle interventions on regression to normoglycemia in people with i-IFG among Indians. CTRI registration: CTRI/2021/07/035289 (30/07/2021).
Collapse
Affiliation(s)
- Elezebeth Mathews
- Department of Public Health and Community Medicine, Central University of Kerala, Kasaragod, Kerala, 671320, India
| | | | - Anjaly Joseph
- Department of Public Health and Community Medicine, Central University of Kerala, Kasaragod, Kerala, 671320, India
| | - Bhagieshwari Kodapally
- Department of Public Health and Community Medicine, Central University of Kerala, Kasaragod, Kerala, 671320, India
| | - Jissa Vinoda Thulaseedharan
- Achutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala, 675011, India
| | - KM Venkat Narayan
- Emory Global Diabetes Research Center, Emory University, Atlanta, Georgia, GA 30322, USA
| | - Brian Oldenburg
- Baker Heart and Diabetes Institute, Baker Heart and Diabetes Institute, Melbourne, Victoria, Victoria 3004, Australia
| | | |
Collapse
|
46
|
Blood-derived miRNA levels are not correlated with metabolic or anthropometric parameters in obese pre-diabetic subjects but with systemic inflammation. PLoS One 2022; 17:e0263479. [PMID: 35120179 PMCID: PMC8815902 DOI: 10.1371/journal.pone.0263479] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Accepted: 01/19/2022] [Indexed: 12/29/2022] Open
Abstract
As blood-derived miRNAs (c-miRNAs) are modulated by exercise and nutrition, we postulated that they might be used to monitor the effects of a lifestyle intervention (LI) to prevent diabetes development. To challenge this hypothesis, obese Asian Indian pre-diabetic patients were submitted to diet modifications and physical activity for 4 months (LI group) and compared to a control group which was given recommendations only. We have considered 2 periods of time to analyze the data, i.e.; a first one to study the response to the intervention (4 months), and a second one post-intervention (8 months). At basal, 4 months and 8 months post-intervention the levels of 17 c-miRNAs were quantified, selected either for their relevance to the pathology or because they are known to be modulated by physical activity or diet. Their variations were correlated with variations of 25 metabolic and anthropometric parameters and cytokines. As expected, fasting-glycaemia, insulin-sensitivity, levels of exercise- and obesity-induced cytokines were ameliorated after 4 months. In addition, the levels of 4 miRNAs (i.e.; miR-128-3p, miR-374a-5p, miR-221-3p, and miR-133a-3p) were changed only in the LI group and were correlated with metabolic improvement (insulin sensitivity, cytokine levels, waist circumference and systolic blood pressure). However, 8 months post-intervention almost all ameliorated metabolic parameters declined indicating that the volunteers did not continue the protocol on their own. Surprisingly, the LI positive effects on c-miRNA levels were still detected, and were even more pronounced 8 months post-intervention. In parallel, MCP-1, involved in tissue infiltration by immune cells, and Il-6, adiponectin and irisin, which have anti-inflammatory effects, continued to be significantly and positively modified, 8 months post-intervention. These data demonstrated for the first time, that c-miRNA correlations with metabolic parameters and insulin sensitivity are in fact only indirect and likely associated with the level systemic inflammation. More generally speaking, this important result explains the high variability between the previous studies designed to identify specific c-miRNAs associated with the severity of insulin-resistance. The results of all these studies should take into account the level of inflammation of the patients. In addition, this finding could also explain why, whatever the pathology considered (i.e.; cancers, diabetes, neurodegenerative disorders, inflammatory diseases) the same subset of miRNAs is always found altered in the blood of patients vs healthy subjects, as these pathologies are all associated with the development of inflammation.
Collapse
|
47
|
Zhang MY, Zhu L, Zheng X, Xie TH, Wang W, Zou J, Li Y, Li HY, Cai J, Gu S, Yao Y, Wei TT. TGR5 Activation Ameliorates Mitochondrial Homeostasis via Regulating the PKCδ/Drp1-HK2 Signaling in Diabetic Retinopathy. Front Cell Dev Biol 2022; 9:759421. [PMID: 35096809 PMCID: PMC8795816 DOI: 10.3389/fcell.2021.759421] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Accepted: 12/07/2021] [Indexed: 01/07/2023] Open
Abstract
Background: Diabetic retinopathy (DR) is one of the most important microvascular diseases of diabetes. Our previous research demonstrated that bile acid G-protein-coupled membrane receptor (TGR5), a novel cell membrane receptor of bile acid, ameliorates the vascular endothelial cell dysfunction in DR. However, the precise mechanism leading to this alteration remains unknown. Thus, the mechanism of TGR5 in the progress of DR should be urgently explored. Methods: In this study, we established high glucose (HG)-induced human retinal vascular endothelial cells (RMECs) and streptozotocin-induced DR rat in vitro and in vivo. The expression of TGR5 was interfered through the specific agonist or siRNA to study the effect of TGR5 on the function of endothelial cell in vitro. Western blot, immunofluorescence and fluorescent probes were used to explore how TGR5 regulated mitochondrial homeostasis and related molecular mechanism. The adeno-associated virus serotype 8-shTGR5 (AAV8-shTGR5) was performed to evaluate retinal dysfunction in vivo and further confirm the role of TGR5 in DR by HE staining, TUNEL staining, PAS staining and Evans Blue dye. Results: We found that TGR5 activation alleviated HG-induced endothelial cell apoptosis by improving mitochondrial homeostasis. Additionally, TGR5 signaling reduced mitochondrial fission by suppressing the Ca2+-PKCδ/Drp1 signaling and enhanced mitophagy through the upregulation of the PINK1/Parkin signaling pathway. Furthermore, our result indicated that Drp1 inhibited mitophagy by facilitating the hexokinase (HK) 2 separation from the mitochondria and HK2-PINK1/Parkin signaling. In vivo, intraretinal microvascular abnormalities, including retinal vascular leakage, acellular capillaries and apoptosis, were poor in AAV8-shTGR5-treated group under DR, but this effect was reversed by pretreatment with the mitochondrial fission inhibitor Mdivi-1 or autophagy agonist Rapamycin. Conclusion: Overall, our findings indicated that TGR5 inhibited mitochondrial fission and enhanced mitophagy in RMECs by regulating the PKCδ/Drp1-HK2 signaling pathway. These results revealed the molecular mechanisms underlying the protective effects of TGR5 and suggested that activation of TGR5 might be a potential therapeutic strategy for DR.
Collapse
Affiliation(s)
- Meng-Yuan Zhang
- Department of Ophthalmology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China
| | - Lingpeng Zhu
- Center of Clinical Research, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China
| | - Xinhua Zheng
- Department of Ophthalmology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China
| | - Tian-Hua Xie
- Department of Ophthalmology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China
| | - Wenjuan Wang
- Center of Clinical Research, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China
| | - Jian Zou
- Center of Clinical Research, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China
| | - Yan Li
- Department of Ophthalmology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China
| | - Hong-Ying Li
- Department of Ophthalmology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China
| | - Jiping Cai
- Department of Ophthalmology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China
| | - Shun Gu
- Department of Ophthalmology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China
| | - Yong Yao
- Department of Ophthalmology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China.,Department of Ophthalmology, The Affiliated Wuxi No. 2 People's Hospital of Nanjing Medical University, Wuxi, China
| | - Ting-Ting Wei
- Center of Clinical Research, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi, China
| |
Collapse
|
48
|
Chen M, Moran LJ, Harrison CL, Ukke GG, Sood S, Bennett CJ, Bahri Khomami M, Absetz P, Teede H, Lim S. Ethnic differences in response to lifestyle intervention for the prevention of type 2 diabetes in adults: A systematic review and meta-analysis. Obes Rev 2022; 23:e13340. [PMID: 34528393 DOI: 10.1111/obr.13340] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 08/05/2021] [Accepted: 08/05/2021] [Indexed: 12/30/2022]
Abstract
The risk of type 2 diabetes mellitus (T2DM) varies by ethnicity, but ethnic differences in response to diabetes prevention interventions remain unclear. This systematic review and meta-analysis assessed ethnic differences in the effects of lifestyle interventions on T2DM incidence, glycemic outcomes (fasting glucose, 2-h glucose, HbA1c ), anthropometric measures (weight, BMI, waist circumference), and lifestyle behaviors (physical activity, energy intake, energy from fat, fiber intake). MEDLINE, EMBASE, and other databases were searched (to June 15, 2020) for randomized and non-randomized controlled trials on lifestyle interventions (diet and/or physical activity) in adults at risk of T2DM. Ethnicity was categorized into European, South Asian, East and Southeast Asian, Middle Eastern, Latin American, and African groups. Forty-four studies were included in meta-analyses. Overall, lifestyle interventions resulted in significant improvement in T2DM incidence, glycemic outcomes, anthropometric measures, physical activity, and energy intake (all P < 0.01). Significant subgroup differences by ethnicity were found for 2-h glucose, weight, BMI, and waist circumference (all P < 0.05) but not for T2DM incidence, fasting glucose, HbA1c , and physical activity (all P > 0.05). Few studies in non-European groups reported dietary intake. Lifestyle interventions in different ethnic groups may have similar effects in reducing incidence of T2DM although this needs to be confirmed in further studies.
Collapse
Affiliation(s)
- Mingling Chen
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
| | - Lisa J Moran
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
| | - Cheryce L Harrison
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
| | - Gebresilasea Gendisha Ukke
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
| | - Surbhi Sood
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
| | - Christie J Bennett
- Department of Nutrition, Dietetics and Food, School of Clinical Sciences, Monash University, Notting Hill, Victoria, Australia
| | - Mahnaz Bahri Khomami
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
| | - Pilvikki Absetz
- Faculty of Social Sciences, Tampere University, Tampere, Finland
| | - Helena Teede
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
| | - Siew Lim
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
| |
Collapse
|
49
|
Abstract
Prediabetes is an intermediate stage between normal glycemia and diabetes and is highly prevalent, especially in older age groups and obese individuals. Five different definitions of prediabetes are used in current practice, which are based on different cut points of HbA1C, fasting glucose, and 2-h glucose. A major challenge for the field is a lack of guidance on when one definition might be preferred over another. Risks of major complications in persons with prediabetes, including diabetes, cardiovascular disease, kidney disease, and death, also vary depending on the prediabetes definition used. Randomized clinical trials have demonstrated that lifestyle and pharmacologic interventions can be cost-effective, prevent diabetes, and improve cardiovascular risk factors in adults with prediabetes. However, the practical implementation of lifestyle modification or the use of metformin for treating prediabetes is inadequate and complicated by a lack of agreement on how to define the condition. Establishing consensus definitions for prediabetes should be a priority and will help inform expansion of insurance coverage for lifestyle modification and improve current screening and diagnostic practices.
Collapse
Affiliation(s)
- Justin B Echouffo-Tcheugui
- Department of Medicine, Division of Endocrinology, Diabetes, and Metabolism; School of Medicine, Johns Hopkins University, Baltimore, Maryland 21205, USA.,Welch Prevention Center for Prevention, Epidemiology and Clinical Research; Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205, USA;
| | - Elizabeth Selvin
- Welch Prevention Center for Prevention, Epidemiology and Clinical Research; Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205, USA; .,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205, USA
| |
Collapse
|
50
|
Sathish T, Tapp RJ, Shaw JE. Do lifestyle interventions reduce diabetes incidence in people with isolated impaired fasting glucose? Diabetes Obes Metab 2021; 23:2827-2828. [PMID: 34432366 DOI: 10.1111/dom.14529] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 08/13/2021] [Accepted: 08/16/2021] [Indexed: 01/24/2023]
Affiliation(s)
| | - Robyn J Tapp
- Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
- Centre for Intelligent Healthcare, Faculty of Health and Life Sciences, Coventry University, Coventry, UK
| | - Jonathan E Shaw
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| |
Collapse
|