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McMullen B, Duncanson K, Collins C, MacDonald-Wicks L. A systematic review of the mechanisms influencing engagement in diabetes prevention programmes for people with pre-diabetes. Diabet Med 2024; 41:e15323. [PMID: 38829966 DOI: 10.1111/dme.15323] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 03/02/2024] [Accepted: 03/20/2024] [Indexed: 06/05/2024]
Abstract
AIMS To identify barriers and enablers that influence engagement in and acceptability of diabetes prevention programmes for people with pre-diabetes. The results will provide insights for developing strategies and recommendations to improve design and delivery of diabetes prevention programmes with enhanced engagement and acceptability for people with pre-diabetes. METHODS This review used a critical realist approach to examine context and mechanisms of diabetes prevention programmes. Medline, Embase, PsycInfo, Cinahl, Web of Science, Scopus and Pre-Medline were searched for English language studies published between 2000 and 2023. A quality assessment was conducted using Joanna Briggs Institute critical appraisal tools. RESULTS A total of 90 papers met inclusion criteria. The included studies used a variety of quantitative and qualitative methodologies. Data extracted focused on barriers and enablers to engagement in and acceptability of diabetes prevention programmes, with seven key mechanisms identified. These included financial, environmental, personal, healthcare, social and cultural, demographic and programme mechanisms. Findings highlighted diverse factors that influenced engagement in preventive programmes and the importance of considering these factors when planning, developing and implementing future diabetes prevention programmes. CONCLUSIONS Mechanisms identified in this review can inform design and development of diabetes prevention programmes for people with pre-diabetes and provide guidance for healthcare professionals and policymakers. This will facilitate increased participation and engagement in preventive programmes, potentially reducing progression and/or incidence of pre-diabetes to type 2 diabetes and improving health outcomes.
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Affiliation(s)
- Britney McMullen
- Mid North Coast Local Health District, University of Newcastle, Coffs Harbour, Australia
| | - Kerith Duncanson
- School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, Australia
| | - Clare Collins
- School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, Australia
- Food and Nutrition Research Program, Hunter Medical Research Institute, New Lambton Heights, Australia
| | - Lesley MacDonald-Wicks
- School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, Australia
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Green JB, Crowley MJ, Thirunavukkarasu S, Maruthur NM, Oldenburg B. The Final Frontier in Diabetes Care: Implementing Research in Real-World Practice. Diabetes Care 2024; 47:1299-1310. [PMID: 38907682 DOI: 10.2337/dci24-0001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Accepted: 04/25/2024] [Indexed: 06/24/2024]
Abstract
Despite extensive evidence related to the prevention and management of type 2 diabetes (T2D) and its complications, most people at risk for and people who have diabetes do not receive recommended guideline-based care. Clinical implementation of proven care strategies is of the utmost importance because without this, even the most impressive research findings will remain of purely academic interest. In this review, we discuss the promise and challenges of implementing effective approaches to diabetes prevention and care in the real-world setting. We describe successful implementation projects in three critical areas of diabetes care-diabetes prevention, glycemic control, and prevention of diabetes-related complications-which provide a basis for further clinical translation and an impetus to improve the prevention and control of T2D in the community. Advancing the clinical translation of evidence-based care must include recognition of and assessment of existing gaps in care, identification of barriers to the delivery of optimal care, and a locally appropriate plan to address and overcome these barriers. Care models that promote team-based approaches, rather than reliance on patient-provider interactions, will enhance the delivery of contemporary comprehensive diabetes care.
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Affiliation(s)
- Jennifer B Green
- Division of Endocrinology, Department of Medicine, and Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC
| | - Matthew J Crowley
- Division of Endocrinology, Department of Medicine, Duke University School of Medicine, Durham, NC
| | - Sathish Thirunavukkarasu
- Department of Family and Preventive Medicine, Emory School of Medicine, Atlanta, GA
- Emory Global Diabetes Research Center, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Nisa M Maruthur
- Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Brian Oldenburg
- Department of Public Health and Implementation Science, La Trobe University, and Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
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3
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Ioannou E, Humphreys H, Homer C, Purvis A. Preventing Type 2 Diabetes after Gestational Diabetes: A Systematic Review Mapping Physical Activity Components using the Socio-Ecological Model. Matern Child Health J 2024; 28:1354-1379. [PMID: 38829517 PMCID: PMC11269493 DOI: 10.1007/s10995-024-03948-w] [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: 05/19/2024] [Indexed: 06/05/2024]
Abstract
OBJECTIVES Gestational diabetes commonly occurs during pregnancy and increases lifetime risk of type 2 diabetes following pregnancy. Engaging in physical activity postnatally can reduce this subsequent risk. Interventions aiming to increase physical activity after gestational diabetes may not address the wide range of post-pregnancy barriers. A socio-ecological approach highlights the need to include multi-level factors such as social, community and organisational factors. The aim of the review was to map intervention components to prevent type 2 diabetes after gestational diabetes using the socio-ecological model as a framework and investigate how physical activity changes align with different intervention components utilised. METHODS Eligible studies included any study type within 5 years of a gestational diabetes diagnosis and targeted physical activity. A systematic search of MEDLINE, Cochrane Library, Web of Science, CINAHL Complete, and Scopus was conducted in October 2022. Results were categorised based on whether findings demonstrated no increases, non-statistically significant increases or statistically significant increases in physical activity. RESULTS Forty-eight studies were included (37 different interventions). Thirty-eight studies were assessed as "adequate" quality, only two studies were "good" quality, and the remaining were limited quality. Mixed physical activity outcomes were observed across components used at the intrapersonal level, with components across other levels of the socio-ecological model showing more increases in physical activity. Intervention components within the social and organisational levels, for example childcare provision, providing group-based sessions and offering remote delivery, were more often present in interventions with physical activity increases. CONCLUSIONS FOR PRACTICE Future interventions targeting physical activity after gestational diabetes should aim to include social and organisational-level components in their intervention design. This systematic review was registered in PROSPERO (ID: CRD42021272044).
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Affiliation(s)
- Elysa Ioannou
- Sport and Physical Activity Research Centre, Sheffield Hallam University, Sheffield, UK.
| | - Helen Humphreys
- Centre for Behavioural Science and Applied Psychology (CeBSAP), Sheffield Hallam University, Sheffield, UK
| | - Catherine Homer
- Sport and Physical Activity Research Centre, Sheffield Hallam University, Sheffield, UK
| | - Alison Purvis
- Sport and Physical Activity Research Centre, Sheffield Hallam University, Sheffield, UK
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Toyokuni E, Okada H, Hamaguchi M, Nishioka N, Tateyama Y, Shimamoto T, Kurogi K, Murata H, Ito M, Iwami T, Fukui M. Eating behaviors and incidence of type 2 diabetes in Japanese people: The population-based Panasonic cohort study 15. J Diabetes Investig 2024; 15:1017-1025. [PMID: 38563242 PMCID: PMC11292397 DOI: 10.1111/jdi.14207] [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: 11/19/2023] [Revised: 03/01/2024] [Accepted: 03/18/2024] [Indexed: 04/04/2024] Open
Abstract
AIM/INTRODUCTION This historical cohort study sought to research the relationship between eating behaviors and the incidence of type 2 diabetes in a large, long-term cohort of Japanese subjects. MATERIALS AND METHODS Panasonic Corporation employees who had no history of diabetes and attended yearly health surveys between 2008 and 2018 were included in this study. The main outcome measure was diabetes onset. RESULTS This study included 128,594 participants and 6,729 participants who developed type 2 diabetes in the study period. Skipping breakfast, fast eating, snacking after dinner, and eating meals before sleeping were linked with the risk of the incidence of type 2 diabetes. In individuals with a BMI < 25 kg/m2, fast eating (hazard ratio [HR]: 1.61, 95% confidence interval [CI]: 1.37-1.90), and eating meals before sleeping (HR: 1.09, 95% CI: 1.02-1.17) were likewise associated with an increased risk of incident type 2 diabetes. Nevertheless, fast eating (HR: 1.08, 95% CI: 0.89-1.30) and meals before sleeping (HR: 0.94, 95% CI: 0.88-1.01) were not related to the occurrence of type 2 diabetes in individuals with a BMI ≥25 kg/m2 (P value for interaction = 0.0007 [fast eating] and 0.007 [meals before sleeping], respectively). No significant interaction effect between sex and eating behavior was found. CONCLUSIONS With respect to Japanese people, especially in people with a BMI < 25 kg/m2, eating behaviors may be a risk factor for the occurrence of type 2 diabetes.
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Affiliation(s)
- Ema Toyokuni
- Department of Endocrinology and Metabolism, Graduate School of Medical ScienceKyoto Prefectural University of MedicineKyotoJapan
| | - Hiroshi Okada
- Department of Endocrinology and Metabolism, Graduate School of Medical ScienceKyoto Prefectural University of MedicineKyotoJapan
- Department of Diabetes and EndocrinologyMatsushita Memorial HospitalMoriguchiJapan
| | - Masahide Hamaguchi
- Department of Endocrinology and Metabolism, Graduate School of Medical ScienceKyoto Prefectural University of MedicineKyotoJapan
| | - Norihiro Nishioka
- Department of Preventive ServicesKyoto University School of Public HealthKyotoJapan
| | - Yukiko Tateyama
- Department of Preventive ServicesKyoto University School of Public HealthKyotoJapan
| | - Tomonari Shimamoto
- Department of Preventive ServicesKyoto University School of Public HealthKyotoJapan
| | - Kazushiro Kurogi
- Department of Health Care CenterPanasonic Health Insurance OrganizationMoriguchiJapan
| | - Hiroaki Murata
- Department of Orthopaedic SurgeryMatsushita Memorial HospitalMoriguchiJapan
| | - Masato Ito
- Department of Health Care CenterPanasonic Health Insurance OrganizationMoriguchiJapan
| | - Taku Iwami
- Department of Preventive ServicesKyoto University School of Public HealthKyotoJapan
| | - Michiaki Fukui
- Department of Endocrinology and Metabolism, Graduate School of Medical ScienceKyoto Prefectural University of MedicineKyotoJapan
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Kahn SE, Deanfield JE, Jeppesen OK, Emerson SS, Boesgaard TW, Colhoun HM, Kushner RF, Lingvay I, Burguera B, Gajos G, Horn DB, Hramiak IM, Jastreboff AM, Kokkinos A, Maeng M, Matos ALS, Tinahones FJ, Lincoff AM, Ryan DH. Effect of Semaglutide on Regression and Progression of Glycemia in People With Overweight or Obesity but Without Diabetes in the SELECT Trial. Diabetes Care 2024; 47:1350-1359. [PMID: 38907683 PMCID: PMC11282386 DOI: 10.2337/dc24-0491] [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: 03/07/2024] [Accepted: 04/26/2024] [Indexed: 06/24/2024]
Abstract
OBJECTIVE To determine whether semaglutide slows progression of glycemia in people with cardiovascular disease and overweight or obesity but without diabetes. RESEARCH DESIGN AND METHODS In a multicenter, double-blind trial, participants aged ≥45 years, with BMI ≥27 kg/m2, and with preexisting cardiovascular disease but without diabetes (HbA1c <6.5%) were randomized to receive subcutaneous semaglutide (2.4 mg weekly) or placebo. Major glycemic outcomes were HbA1c and proportions achieving biochemical normoglycemia (HbA1c <5.7%) and progressing to biochemical diabetes (HbA1c ≥6.5%). RESULTS Of 17,604 participants, 8,803 were assigned to semaglutide and 8,801 to placebo. Mean ± SD intervention exposure was 152 ± 56 weeks and follow-up 176 ± 40 weeks. In both treatment arms mean nadir HbA1c for participants was at 20 weeks. Thereafter, HbA1c increased similarly in both arms, with a mean difference of -0.32 percentage points (95% CI -0.33 to -0.30; -3.49 mmol/mol [-3.66 to -3.32]) and with the difference favoring semaglutide throughout the study (P < 0.0001). Body weight plateaued at 65 weeks and was 8.9% lower with semaglutide. At week 156, a greater proportion treated with semaglutide were normoglycemic (69.5% vs. 35.8%; P < 0.0001) and a smaller proportion had biochemical diabetes by week 156 (1.5% vs. 6.9%; P < 0.0001). The number needed to treat was 18.5 to prevent a case of diabetes. Both regression and progression were dependent on glycemia at baseline, with the magnitude of weight reduction important in mediating 24.5% of progression and 27.1% of regression. CONCLUSIONS In people with preexisting cardiovascular disease and overweight or obesity but without diabetes, long-term semaglutide increases regression to biochemical normoglycemia and reduces progression to biochemical diabetes but does not slow glycemic progression over time.
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Affiliation(s)
- Steven E. Kahn
- Division of Metabolism, Endocrinology and Nutrition, Department of Medicine, VA Puget Sound Health Care System and University of Washington, Seattle
| | - John E. Deanfield
- Institute of Cardiovascular Science, University College London, London, U.K
| | | | - Scott S. Emerson
- Department of Biostatistics, University of Washington, Seattle, WA
| | | | - Helen M. Colhoun
- Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, U.K
| | - Robert F. Kushner
- Department of Medicine, Northwestern University Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Ildiko Lingvay
- Department of Internal Medicine/Endocrinology and Peter O’Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX
| | | | - Grzegorz Gajos
- Department of Coronary Artery Disease and Heart Failure, Jagiellonian University Medical College, Kraków, Poland
| | - Deborah Bade Horn
- Department of Surgery, John P. and Katherine G. McGovern Medical School, University of Texas, Houston, TX
| | | | - Ania M. Jastreboff
- Endocrinology and Metabolism, Department of Medicine, and Pediatric Endocrinology, Department of Pediatrics, Yale School of Medicine, New Haven, CT
| | - Alexander Kokkinos
- First Department of Propaedeutic Internal Medicine, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Michael Maeng
- Department of Cardiology, Aarhus University Hospital, and Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | | | - Francisco J. Tinahones
- Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina (IBIMA Plataforma BIONAND), CIBERobn, and Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, Malaga University, Málaga, Spain
| | - A. Michael Lincoff
- Department of Cardiovascular Medicine, Cleveland Clinic, and Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH
| | - Donna H. Ryan
- Division of Metabolism, Endocrinology and Nutrition, Department of Medicine, VA Puget Sound Health Care System and University of Washington, Seattle
- Pennington Biomedical Research Center, Baton Rouge, LA
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Qian X, Wang J, Gong Q, An Y, Feng X, He S, Chen X, Wang W, Zhang L, Hui Y, Zhai X, Zhang B, Chen Y, Li G. Non-diabetes status after diagnosis of impaired glucose tolerance and risk of long-term death and vascular complications: A post hoc analysis of the Da Qing Diabetes Prevention Outcome Study. PLoS Med 2024; 21:e1004419. [PMID: 38980837 PMCID: PMC11233008 DOI: 10.1371/journal.pmed.1004419] [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: 02/04/2024] [Accepted: 05/23/2024] [Indexed: 07/11/2024] Open
Abstract
BACKGROUND The association between years of non-diabetes status after diagnosis of impaired glucose tolerance (IGT) and the risk of long-term death and cardiovascular outcomes needed to be clarified. METHODS AND FINDINGS In this post hoc analysis, we included 540 individuals with IGT who participated in the original Da Qing Diabetes Prevention Study (DQDPS). In the DQDPS, all participants were diagnosed with IGT by a 75 g oral glucose tolerance test and randomized to intervention or control groups with a 6-year lifestyle intervention trial. After the completion of the trial, death, cardiovascular events, and microvascular complications were monitored over a 30-year follow-up. In this post hoc analysis, the Cox analysis assessed the extended risk of these outcomes in individuals who either remained non-diabetes status or progressed to diabetes at the end of 2, 4, and 6 years after diagnosis of IGT. In all participants, the difference in the cumulative incidence rate of the outcomes between the diabetes and non-diabetes group gradually increased over 30 years. Compared with the diabetes group, a significantly lower risk of all-cause death (hazard ratio [HR]: 0.74; 95% confidence interval [CI]: 0.57 to 0.97, p = 0.026), cardiovascular events (HR: 0.63; 95% CI: 0.49 to 0.82, p < 0.001), and microvascular complications (HR: 0.62; 95% CI: 0.45 to 0.86, p = 0.004) first emerged in individuals who remained non-diabetes at the 4 years visit, whereas the significant risk reduction in cardiovascular death was first observed at the end of 6 years (HR: 0.56; 95% CI: 0.39 to 0.81, p = 0.002) after adjustment for age, sex, smoking status, BMI, systolic blood pressure, blood glucose, total cholesterol, intervention, and medications (including insulin plus oral hypoglycaemics, antihypertensives, and lipid-lowering agents). The results in the original intervention group alone were similar to the whole group. The main limitations of our study are the limited number of participants and the sole ethnicity of the Chinese population. CONCLUSIONS In this study, we observed that maintaining several years of non-diabetes status after IGT diagnosis was associated with a significant reduction in long-term risk of death and vascular complications, and for most of these outcomes, maintaining at least 4 years of non-diabetes status may be needed to achieve a significant risk reduction.
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Affiliation(s)
- Xin Qian
- Endocrinology Centre, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jinping Wang
- Department of Cardiology, Da Qing First Hospital, Da Qing, China
| | - Qiuhong Gong
- Endocrinology Centre, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yali An
- Endocrinology Centre, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xinxing Feng
- Endocrinology Centre, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Siyao He
- Endocrinology Centre, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaoping Chen
- Department of Endocrinology, China-Japan Friendship Hospital, Beijing, China
| | - Wenjuan Wang
- Division of Non-Communicable Disease Control and Community Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lihong Zhang
- Endocrinology Centre, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuanchi Hui
- Endocrinology Centre, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiuwei Zhai
- Department of Neurosurgery, Da Qing First Hospital, Da Qing, China
| | - Bo Zhang
- Department of Endocrinology, China-Japan Friendship Hospital, Beijing, China
| | - Yanyan Chen
- Endocrinology Centre, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Guangwei Li
- Department of Endocrinology, China-Japan Friendship Hospital, Beijing, China
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Zahalka SJ, Galindo RJ, Shah VN, Low Wang CC. Continuous Glucose Monitoring for Prediabetes: What Are the Best Metrics? J Diabetes Sci Technol 2024; 18:835-846. [PMID: 38629784 DOI: 10.1177/19322968241242487] [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: 07/02/2024]
Abstract
BACKGROUND Continuous glucose monitoring (CGM) has transformed the care of type 1 and type 2 diabetes, and there is potential for CGM to also become influential in prediabetes identification and management. However, to date, we do not have any consensus guidelines or high-quality evidence to guide CGM goals and metrics for use in prediabetes. METHODS We searched PubMed for all English-language articles on CGM use in nonpregnant adults with prediabetes published by November 1, 2023. We excluded any articles that included subjects with type 1 diabetes or who were known to be at risk for type 1 diabetes due to positive islet autoantibodies. RESULTS Based on the limited data available, we suggest possible CGM metrics to be used for individuals with prediabetes. We also explore the role that glycemic variability (GV) plays in the transition from normoglycemia to prediabetes. CONCLUSIONS Glycemic variability indices beyond the standard deviation and coefficient of variation are emerging as prominent identifiers of early dysglycemia. One GV index in particular, the mean amplitude of glycemic excursion (MAGE), may play a key future role in CGM metrics for prediabetes and is highlighted in this review.
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Affiliation(s)
- Salwa J Zahalka
- Division of Endocrinology, Metabolism and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | | | - Viral N Shah
- Division of Endocrinology and Metabolism, Indiana University, Indianapolis, IN, USA
| | - Cecilia C Low Wang
- Division of Endocrinology, Metabolism and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
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Zhang L, Liu J, Cao Y, Liu S, Zhao W, Wang C, Banzhao S, Liu Z, Liu L. Association between circulating levels of unsaturated fatty acids and risk for prediabetes in the NHANES 2003-2004 and 2011-2012. Diabetes Res Clin Pract 2024; 213:111728. [PMID: 38838943 DOI: 10.1016/j.diabres.2024.111728] [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: 04/03/2024] [Revised: 05/11/2024] [Accepted: 06/02/2024] [Indexed: 06/07/2024]
Abstract
AIMS This study aimed to investigate the association between serum levels of common and uncommon unsaturated fatty acids and prediabetes risk. METHODS Data were collected from the National Health and Nutrition Examination Survey for 2003-2004 and 2011-2012. Weighted proportional and multivariate logistic regression analyses were performed to assess the association of serum PUFAs and MUFAs with prediabetes risk after adjusting for potential confounders. RESULTS A total of 3575 individuals were enrolled in this study. Serum levels of PUFAs EPA (20:5 n3) and GLA (18:3 n6) were associated with increased prediabetes risk (EPA (20:5 n3): OR = 1.878, 95% CI: 1.177-2.996, Ptrend = 0.002; GLA (18:3 n6): 1.702, 95% CI: 1.140-2.541, Ptrend = 0.016). The MUFAs PA (16:1 n7) and EA (20:1 n9) were associated with the risk of prediabetes (OR in quintile5: PA (16:1 n7): 1.780, 95% CI: 1.056-3.001, Ptrend = 0.003; EA (20:1 n9): 0.587, 95% CI: 0.347-0.994, Ptrend = 0.010). Moreover, nonlinear analysis revealed that serum levels of EPA (20:5 n3) and EA (20:1 n-9) were nonlinearly associated with prediabetes risk. CONCLUSION Some serum n-3 PUFAs are positively associated with prediabetes, several serum n-6 PUFAs are inversely associated with prediabetes. Regulating individual serum USFA levels may help prevent prediabetes, thereby providing evidence for clinical and nutritional practices.
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Affiliation(s)
- Liwen Zhang
- Department of Epidemiology and Statistics, School of Public Health, Hebei Medical University, Hebei Key Laboratory of Environment and Human Health, Shijiazhuang 050017, China
| | - Jiayi Liu
- Department of Epidemiology and Statistics, School of Public Health, Hebei Medical University, Hebei Key Laboratory of Environment and Human Health, Shijiazhuang 050017, China
| | - Yuxuan Cao
- Department of Epidemiology and Statistics, School of Public Health, Hebei Medical University, Hebei Key Laboratory of Environment and Human Health, Shijiazhuang 050017, China
| | - Shan Liu
- Department of Endocrinology, The Second Hospital of Shijiazhuang, Shijiazhuang, Hebei 050000, China
| | - Weili Zhao
- Hebei Key Laboratory of Basic Medicine for Diabetes, The Second Hospital of Shijiazhuang, Shijiazhuang, Hebei 050000, China
| | - Ci Wang
- Department of Epidemiology and Statistics, School of Public Health, Hebei Medical University, Hebei Key Laboratory of Environment and Human Health, Shijiazhuang 050017, China
| | - Shangfang Banzhao
- Department of Epidemiology and Statistics, School of Public Health, Hebei Medical University, Hebei Key Laboratory of Environment and Human Health, Shijiazhuang 050017, China
| | - Zanchao Liu
- Hebei Key Laboratory of Basic Medicine for Diabetes, The Second Hospital of Shijiazhuang, Shijiazhuang, Hebei 050000, China; Shijiazhuang Diabetes Precision Diagnosis and Treatment Technology Innovation Center, Shijiazhuang, Hebei 050000, China.
| | - Lipeng Liu
- Hebei Key Laboratory of Basic Medicine for Diabetes, The Second Hospital of Shijiazhuang, Shijiazhuang, Hebei 050000, China; College of Veterinary, Hebei Agricultural University, Baoding 071000, China.
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Ji H, Zhao X, Chen X, Fang H, Gao H, Wei G, Zhang M, Kuang H, Yang B, Cai X, Su Y, Piao C, Zhao S, Li L, Sun W, Xu T, Xu Q, Fan Y, Ye J, Yao C, Shang M, Song G, Chen L, Zheng Q, Xiao X, Yan L, Lian F, Tong X, Jia Z. Jinlida for Diabetes Prevention in Impaired Glucose Tolerance and Multiple Metabolic Abnormalities: The FOCUS Randomized Clinical Trial. JAMA Intern Med 2024; 184:727-735. [PMID: 38829648 PMCID: PMC11148787 DOI: 10.1001/jamainternmed.2024.1190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 03/07/2024] [Indexed: 06/05/2024]
Abstract
Importance Previous studies have shown that Jinlida (JLD) granules, an approved treatment for type 2 diabetes in China, can reduce blood glucose level, reduce glycated hemoglobin (HbA1c), and improve insulin resistance in people with type 2 diabetes. Objective To evaluate the effect of long-term administration of JLD vs placebo on the incidence of diabetes in participants with impaired glucose tolerance (IGT) and multiple metabolic abnormalities. Design, Setting, and Participants This multicenter, double-blind, placebo-controlled randomized clinical trial (FOCUS) was conducted across 35 centers in 21 cities in China from June 2019 to February 2023. Individuals aged 18 to 70 years with IGT and multiple metabolic abnormalities were enrolled. Intervention Participants were randomly allocated 1:1 to receive JLD or placebo (9 g, 3 times per day, orally). They continued this regimen until they developed diabetes, withdrew from the study, were lost to follow-up, or died. Main Outcomes and Measures The primary outcome was the occurrence of diabetes, which was determined by 2 consecutive oral glucose tolerance tests. Secondary outcomes included waist circumference; fasting and 2-hour postprandial plasma glucose levels; HbA1c; fasting insulin level; homeostatic model assessment for insulin resistance (HOMA-IR); total cholesterol, low-density lipoprotein cholesterol, and triglyceride levels; ankle-brachial index; and carotid intima-media thickness. Results A total of 889 participants were randomized, of whom 885 were in the full analysis set (442 in the JLD group; 443 in the placebo group; mean [SD] age, 52.57 [10.33] years; 463 [52.32%] female). Following a median observation period of 2.20 years (IQR, 1.27-2.64 years), participants in the JLD group had a lower risk of developing diabetes compared with those in the placebo group (hazard ratio, 0.59; 95% CI, 0.46-0.74; P < .001). During the follow-up period, the JLD group had a between-group difference of 0.95 cm (95% CI, 0.36-1.55 cm) in waist circumference, 9.2 mg/dL (95% CI, 5.4-13.0 mg/dL) in 2-hour postprandial blood glucose level, 3.8 mg/dL (95% CI, 2.2-5.6 mg/dL) in fasting blood glucose level, 0.20% (95% CI, 0.13%-0.27%) in HbA1c, 6.6 mg/dL (95% CI, 1.9-11.2) in total cholesterol level, 4.3 mg/dL (95% CI, 0.8-7.7 mg/dL) in low-density lipoprotein cholesterol level, 25.7 mg/dL (95% CI, 15.9-35.4 mg/dL) in triglyceride levels, and 0.47 (95% CI, 0.12-0.83) in HOMA-IR compared with the placebo group. After 24 months of follow-up, the JLD group had a significant improvement in ankle-brachial index and waist circumference compared with the placebo group. Conclusions and Relevance The findings suggest that JLD can reduce the risk of diabetes in participants with IGT and multiple metabolic abnormalities. Trial Registration Chinese Clinical Trial Register: ChiCTR1900023241.
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Affiliation(s)
- Hangyu Ji
- Good Clinical Practice Office, Guang’anmen Hospital China Academy of Chinese Medical Sciences, Beijing, China
| | - Xuefei Zhao
- Department of Endocrinology, Guang’anmen Hospital China Academy of Chinese Medical Sciences, Beijing, China
| | - Xinyan Chen
- Department of Prevention and Treatment of Disease, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou, China
| | - Hui Fang
- Department of Endocrinology, Tangshan Gongren Hospital, Tangshan, China
| | - Huailin Gao
- Department of Endocrinology, Hebei Yiling Hospital, Shijiazhuang, China
| | - Geng Wei
- Department of Traditional Chinese Medicine, Shijiazhuang 2nd Hospital, Shijiazhuang, China
| | - Min Zhang
- Department of General Practice, Baotou Central Hospital, Baotou, China
| | - Hongyu Kuang
- Department of Endocrinology, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Baijing Yang
- Department of Traditional Chinese Medicine, The First Affiliated Hospital of Medical College of Shihezi University, Shihezi, China
| | - Xiaojun Cai
- Department of Endocrinology, Heilongjiang Academy of Traditional Chinese Medicine, Harbin, China
| | - Yanjin Su
- Department of Endocrinology, Affiliated Hospital of Shaanxi University of Traditional Chinese Medicine, Xianyang, China
| | - Chunli Piao
- Department of Endocrinology, Shenzhen Hospital (Futian) of Guangzhou University of Chinese Medicine, Shenzhen, China
| | - Shuyu Zhao
- Department of Endocrinology, Tongliao City Horqin District First People’s Hospital, Tongliao, China
| | - Liyang Li
- Department of Endocrinology, Baoji Second People’s Hospital, Baoji, China
| | - Wenliang Sun
- Department of Endocrinology, Hebei Cangzhou Hospital of Integrated Chinese and Western Medicine, Cangzhou, China
| | - Tianshu Xu
- Department of Traditional Chinese Medicine, Nanjing Drum Tower Hospital, Nanjing, China
| | - Qinghua Xu
- Geriatrics Department, Liaocheng People’s Hospital, Liaocheng, China
| | - Yuan Fan
- Department of Endocrinology, Second Affiliated Hospital of Yunnan University of Chinese Medicine, Kunming, China
| | - Jianhua Ye
- Department of Endocrinology, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China
| | - Chen Yao
- Department of Biostatistics, Peking University First Hospital, Beijing, China
| | - Meixia Shang
- Department of Biostatistics, Peking University First Hospital, Beijing, China
| | - Guangyao Song
- Department of Endocrinology, Hebei General Hospital, Shijiazhuang, China
| | - Liming Chen
- NHC Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Qingshan Zheng
- Center for Drug Clinical Research, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xinhua Xiao
- Department of Endocrinology, Peking Union Medical College Hospital, Beijing, China
| | - Li Yan
- Department of Endocrinology, Sun Yat-Sen Memorial Hospital, Sun Yai-Sen University, Guangzhou, China
| | - Fengmei Lian
- Good Clinical Practice Office, Guang’anmen Hospital China Academy of Chinese Medical Sciences, Beijing, China
| | - Xiaolin Tong
- Metabolic Disease Institute, Guang’anmen Hospital China Academy of Chinese Medical Sciences, Beijing, China
| | - Zhenhua Jia
- Department of Endocrinology, Hebei Yiling Hospital, Shijiazhuang, China
- State Key Laboratory for Innovation and Transformation of Luobing Theory of Hebei Yiling Hospital, Shijiazhuang, Hebei Province, China
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10
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Moon JS, Kang S, Choi JH, Lee KA, Moon JH, Chon S, Kim DJ, Kim HJ, Seo JA, Kim MK, Lim JH, Song YJ, Yang YS, Kim JH, Lee YB, Noh J, Hur KY, Park JS, Rhee SY, Kim HJ, Kim HM, Ko JH, Kim NH, Kim CH, Ahn J, Oh TJ, Kim SK, Kim J, Han E, Jin SM, Bae J, Jeon E, Kim JM, Kang SM, Park JH, Yun JS, Cha BS, Moon MK, Lee BW. 2023 Clinical Practice Guidelines for Diabetes Management in Korea: Full Version Recommendation of the Korean Diabetes Association. Diabetes Metab J 2024; 48:546-708. [PMID: 39091005 DOI: 10.4093/dmj.2024.0249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Accepted: 06/20/2024] [Indexed: 08/04/2024] Open
Affiliation(s)
- Jun Sung Moon
- Department of Internal Medicine, Yeungnam University College of Medicine, Daegu, Korea
| | - Shinae Kang
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Jong Han Choi
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Korea
| | - Kyung Ae Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Jeonbuk National University Hospital, Jeonbuk National University Medical School, Jeonju, Korea
| | - Joon Ho Moon
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Suk Chon
- Department of Endocrinology and Metabolism, College of Medicine, Kyung Hee University, Seoul, Korea
| | - Dae Jung Kim
- Department of Endocrinology and Metabolism, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea
| | - Hyun Jin Kim
- Department of Internal Medicine, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea
| | - Ji A Seo
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Korea
| | - Mee Kyoung Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Jeong Hyun Lim
- Department of Food Service and Nutrition Care, Seoul National University Hospital, Seoul, Korea
| | - Yoon Ju Song
- Department of Food Science and Nutrition, The Catholic University of Korea, Bucheon, Korea
| | - Ye Seul Yang
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Jae Hyeon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - You-Bin Lee
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Junghyun Noh
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Inje University Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea
| | - Kyu Yeon Hur
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jong Suk Park
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Sang Youl Rhee
- Department of Endocrinology and Metabolism, College of Medicine, Kyung Hee University, Seoul, Korea
| | - Hae Jin Kim
- Department of Endocrinology and Metabolism, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea
| | - Hyun Min Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chung-Ang University College of Medicine, Seoul, Korea
| | - Jung Hae Ko
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Inje University Haeundae Paik Hospital, Inje University College of Medicine, Busan, Korea
| | - Nam Hoon Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea
| | - Chong Hwa Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Sejong General Hospital, Bucheon, Korea
| | - Jeeyun Ahn
- Department of Ophthalmology, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - Tae Jung Oh
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Soo-Kyung Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Korea
| | - Jaehyun Kim
- Department of Pediatrics, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Eugene Han
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea
| | - Sang-Man Jin
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jaehyun Bae
- Department of Internal Medicine, Hallym University Kangnam Sacred Heart Hospital, College of Medicine, Hallym University, Seoul, Korea
| | - Eonju Jeon
- Department of Internal Medicine, Daegu Catholic University School of Medicine, Daegu, Korea
| | - Ji Min Kim
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Chungnam National University College of Medicine, Daejeon, Korea
| | - Seon Mee Kang
- Department of Internal Medicine, Kangwon National University Hospital, Kangwon National University School of Medicine, Chuncheon, Korea
| | - Jung Hwan Park
- Division of Endocrinology & Metabolism, Department of Internal Medicine, Hanyang University College of Medicine, Seoul, Korea
| | - Jae-Seung Yun
- Division of Endocrinology and Metabolism, Department of Internal Medicine, St. Vincent's Hospital, College of Medicine, The Catholic University of Korea, Suwon, Korea
| | - Bong-Soo Cha
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Min Kyong Moon
- Department of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul National University College of Medicine, Seoul, Korea
| | - Byung-Wan Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea
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11
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Capoccia D, Leonetti F, Natali A, Tricò D, Perrini S, Sbraccia P, Guglielmi V. Remission of type 2 diabetes: position statement of the Italian society of diabetes (SID). Acta Diabetol 2024:10.1007/s00592-024-02317-x. [PMID: 38942960 DOI: 10.1007/s00592-024-02317-x] [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: 05/09/2024] [Accepted: 05/31/2024] [Indexed: 06/30/2024]
Abstract
The primary cause of the pandemic scale of type 2 diabetes (T2D) is the excessive and/or abnormal accumulation of adiposity resulting from a chronic positive energy balance. Any form of weight loss dramatically affects the natural history of T2D, favoring prevention, treatment, and even remission in the case of significant weight loss. However, weight regain, which is often accompanied by the recurrence or worsening of obesity complications such as T2D, is an inevitable biological phenomenon that is an integral part of the pathophysiology of obesity. This can occur not only after weight loss, but also during obesity treatment if it is not effective enough to counteract the physiological responses aimed at restoring adiposity to its pre-weight-loss equilibrium state. Over the past few years, many controlled and randomized studies have suggested a superior efficacy of bariatric surgery compared to conventional therapy in terms of weight loss, glycemic control, and rates of T2D remission. Recently, the therapeutic armamentarium in the field of diabetology has been enriched with new antihyperglycemic drugs with considerable efficacy in reducing body weight, which could play a pathogenetic role in the remission of T2D, not through the classical incretin effect, but by improving adipose tissue functions. All these concepts are discussed in this position statement, which aims to deepen the pathogenetic links between obesity and T2D, shift the paradigm from a "simple" interaction between insulin resistance and insulin deficiency, and evaluate the efficacy of different therapeutic interventions to improve T2D management and induce diabetes remission whenever still possible.
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Affiliation(s)
- Danila Capoccia
- Department of Medical and Surgical Sciences and Biotechnologies, Sapienza University of Rome, Rome, Italy
| | - Frida Leonetti
- Department of Medical and Surgical Sciences and Biotechnologies, Sapienza University of Rome, Rome, Italy.
| | - Andrea Natali
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Domenico Tricò
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Sebastio Perrini
- Department of Precision and Regenerative Medicine and Ionian Area, Section of Internal Medicine, Endocrinology, Andrology and Metabolic Diseases, University of Bari Aldo Moro, Bari, Italy
| | - Paolo Sbraccia
- Department of Systems Medicine, Unit of Internal Medicine - Obesity Center, Policlinico Tor Vergata, University of Rome Tor Vergata, Rome, Italy
| | - Valeria Guglielmi
- Department of Systems Medicine, Unit of Internal Medicine - Obesity Center, Policlinico Tor Vergata, University of Rome Tor Vergata, Rome, Italy
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12
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Lin D, Wang H, Ou Y, Li L, Zhang Q, Yan J, Peng D, Peng S. The role of diet in diabetes gastroparesis treatment: a systematic review and meta-analysis. Front Endocrinol (Lausanne) 2024; 15:1379398. [PMID: 38957444 PMCID: PMC11217167 DOI: 10.3389/fendo.2024.1379398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Accepted: 06/04/2024] [Indexed: 07/04/2024] Open
Abstract
Background Diabetic gastroparesis is a common complication in patient with diabetes. Dietary intervention has been widely used in the treatment of diabetic gastroparesis. The aim of this study is to evaluate the role of diet in the treatment of diabetic gastroparesis. Methods This systematic review was conducted a comprehensive search of randomized controlled trials using dietary interventions for the treatment of diabetic gastroparesis up to 9 November 2023. The primary outcomes were gastric emptying time and clinical effect, while fasting blood glucose, 2-hour postprandial blood glucose and glycosylated hemoglobin were secondary outcomes. Data analysis was performed using RevMan 5.4 software, and publication bias test was performed using Stata 15.1 software. Results A total of 15 randomized controlled trials involving 1106 participants were included in this review. The results showed that patients with diabetic gastroparesis benefit from dietary interventions (whether personalized dietary care alone or personalized dietary care+routine dietary care). Compared with routine dietary care, personalized dietary care and personalized dietary care+routine dietary care can shorten the gastric emptying time, improve clinical efficacy, and reduce the level of fasting blood glucose, 2-hour postprandial blood glucose and glycosylated hemoglobin. Conclusions Limited evidence suggests that dietary intervention can promote gastric emptying and stabilize blood glucose control in patients with diabetic gastroparesis. Dietary intervention has unique potential in the treatment of diabetic gastroparesis, and more high-quality randomized controlled trials are needed to further validate our research results. Systematic review registration https://www.crd.york.ac.uk/prospero/, identifier CRD42023481621.
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Affiliation(s)
- Dezhi Lin
- School of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Hui Wang
- School of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yangxu Ou
- School of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Longlong Li
- School of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Qiang Zhang
- School of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Jiayin Yan
- Department of Rehabilitation, Zhongjiang County Hospital of Traditional Chinese Medicine, Deyang, China
| | - Dezhong Peng
- School of Acupuncture and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Sihan Peng
- Department of Endocrinology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
- TCM Regulating Metabolic Diseases Key Laboratory of Sichuan Province, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
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13
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Tseng E, Smith K, Clark JM, Segal JB, Marsteller JA, Maruthur NM. Using the Translating Research into Practice framework to develop a diabetes prevention intervention in primary care: a mixed-methods study. BMJ Open Qual 2024; 13:e002752. [PMID: 38839396 PMCID: PMC11163602 DOI: 10.1136/bmjoq-2024-002752] [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: 01/11/2024] [Accepted: 05/28/2024] [Indexed: 06/07/2024] Open
Abstract
BACKGROUND Pre-diabetes affects one-third of US adults and increases the risk of type 2 diabetes. Effective evidence-based interventions, such as the Diabetes Prevention Program, are available, but a gap remains in effectively translating and increasing uptake of these interventions into routine care. METHODS We applied the Translating Research into Practice (TRiP) framework to guide three phases of intervention design and development for diabetes prevention: (1) summarise the evidence, (2) identify local barriers to implementation and (3) measure performance. In phase 1, we conducted a retrospective cohort analysis of linked electronic health record claims data to evaluate current practices in the management of pre-diabetes. In phase 2, we conducted in-depth interviews of 16 primary care physicians, 7 payor leaders and 31 patients to elicit common barriers and facilitators for diabetes prevention. In phase 3, using findings from phases 1 and 2, we developed the core elements of the intervention and performance measures to evaluate intervention uptake. RESULTS In phase 1 (retrospective cohort analysis), we found few patients with pre-diabetes received diabetes prevention interventions. In phase 2 (stakeholder engagement), we identified common barriers to include a lack of knowledge about pre-diabetes among patients and about the Diabetes Prevention Program among clinicians. In phase 3 (intervention development), we developed the START Diabetes Prevention Clinical Pathway as a systematic change package to address barriers and facilitators identified in phases 1 and 2, performance measures and a toolkit of resources to support the intervention components. CONCLUSIONS The TRiP framework supported the identification of evidence-based care practices for pre-diabetes and the development of a well-fitted, actionable intervention and implementation plan designed to increase treatment uptake for pre-diabetes in primary care settings. Our change package can be adapted and used by other health systems or clinics to target prevention of diabetes or other related chronic conditions.
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Affiliation(s)
- Eva Tseng
- Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Welch Center for Prevention, Epidemiology, & Clinical Research, Johns Hopkins University, Baltimore, MD, USA
| | - Katherine Smith
- Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Jeanne M Clark
- Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Welch Center for Prevention, Epidemiology, & Clinical Research, Johns Hopkins University, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Jodi B Segal
- Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Welch Center for Prevention, Epidemiology, & Clinical Research, Johns Hopkins University, Baltimore, MD, USA
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
- Center for Drug Safety and Effectiveness, Johns Hopkins University, Baltimore, MD, USA
| | - Jill A Marsteller
- Welch Center for Prevention, Epidemiology, & Clinical Research, Johns Hopkins University, Baltimore, MD, USA
- Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Nisa M Maruthur
- Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Welch Center for Prevention, Epidemiology, & Clinical Research, Johns Hopkins University, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
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14
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Alver SK, Pan S, Mossavar-Rahmani Y, Sotres-Alvarez D, Evenson KR, Floyd JS, Xanthakis V, Lin J, Cuthbertson C, Gallo LC, Cai J, Penedo FJ, Llabre MM, Matsushita K, Talavera GA, Pirzada A, Spartano N, Daviglus ML, Vasan RS, Kaplan RC. Physical Activity, Cardiovascular Status, Mortality, and Prediabetes in Hispanic and Non-Hispanic Adults. JAMA Netw Open 2024; 7:e2415094. [PMID: 38842811 PMCID: PMC11157354 DOI: 10.1001/jamanetworkopen.2024.15094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Accepted: 04/03/2024] [Indexed: 06/07/2024] Open
Abstract
Importance Data are limited on the association of physical activity (PA) with incident cardiovascular disease (CVD) and mortality in prediabetes, especially in racial and ethnic minority groups, including Hispanic and Latino populations. Objective To determine the association of PA with incident CVD and mortality by prediabetes status among Hispanic or Latino and non-Hispanic adults. Design, Setting, and Participants This cohort study included data from 2 cohorts of adults with prediabetes or normoglycemia who were free of CVD at baseline visit: the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) from baseline examination through 2017, with median (IQR) follow-up of 7.8 (7.2-8.5) years, and the Framingham Heart Study (FHS) with non-Hispanic participants from index examination through 2019, with median (IQR) follow-up of 9.6 (8.1-10.7) years. Analyses were conducted between September 1, 2022, and January 10, 2024. Exposure The primary exposure was baseline accelerometry-measured moderate to vigorous PA, insufficient vs sufficient to meet 2018 Physical Activity Guidelines for Americans (PAG) in both cohorts; additional accelerometer-measured exposures in HCHS/SOL were steps per day, sedentary behavior, and counts per min. Main Outcomes and Measures The outcome was a composite of incident CVD or all-cause mortality, whichever came first. Results This cohort study included 13 223 participants: from HCHS/SOL, there were 9456 adults (all self-identified Hispanic or Latino ethnicity; survey-adjusted mean [SD] age, 38.3 [13.9] years, unweighted counts 5673 (60.0%) female; 4882 [51.6%] with normoglycemia; 4574 [48.4%] with prediabetes), and from FHS there were 3767 adults (3623 [96.2%] non-Hispanic and 140 [3.7%] Hispanic or Latino ethnicity, with 4 [0.1%] participants missing ethnicity; mean [SD] age, 54.2 [13.6] years; 2128 (56.5%) female; 2739 [72.7%] with normoglycemia; 1028 [27.3%] with prediabetes). Not meeting PAG was associated with higher risk of the composite outcome among participants with normoglycemia (vs PAG met; hazard ratio [HR], 1.85 [95% CI, 1.12-3.06]), but not among participants with prediabetes (HR, 1.07 [95% CI, 0.72-1.58]). For HCHS/SOL, no statistically significant association was found between the composite outcome and other PA metrics, although estimated HRs tended to be higher for lower activity in the normoglycemia group but not for the prediabetes group (eg, for steps less than vs at least 7000 per day, the HR was 1.58 [95% CI, 0.85-2.93] for normoglycemia vs 1.08 [95% CI 0.67-1.74] for prediabetes). While there was also no association in HCHS/SOL between the composite outcome and sedentary behavior, results were similar in the prediabetes group (HR per 30 minutes per day of sedentary behavior, 1.05 [95% CI 0.99-1.12]) and in the normoglycemia group (HR, 1.07 [95% CI 0.98-1.16]). Conclusions and Relevance In this cohort study of US Hispanic or Latino and non-Hispanic adults, lower moderate to vigorous PA levels were associated with CVD or mortality among participants with normoglycemia but not participants with prediabetes. Adults with prediabetes may benefit from reducing sedentary behavior and improving multiple lifestyle factors beyond improving moderate to vigorous PA alone.
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Affiliation(s)
- Sarah K. Alver
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
| | - Stephanie Pan
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
| | - Yasmin Mossavar-Rahmani
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, New York
| | - Daniela Sotres-Alvarez
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill
| | - Kelly R. Evenson
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill
| | - James S. Floyd
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle
- Department of Epidemiology, University of Washington, Seattle
| | - Vanessa Xanthakis
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts
- National Heart, Lung, and Blood Institute’s and Boston University’s Framingham Heart Study, Framingham, Massachusetts
- Section of Preventive Medicine and Epidemiology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
| | - Juan Lin
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, New York
| | - Carmen Cuthbertson
- Health Education and Promotion, College of Health and Human Performance, East Carolina University, Greenville, North Carolina
| | - Linda C. Gallo
- Department of Psychology, San Diego State University, San Diego, California
| | - Jianwen Cai
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill
| | - Frank J. Penedo
- Department of Medicine, University of Miami, Miami, Florida
- Department of Psychology, University of Miami, Miami, Florida
| | - Maria M. Llabre
- Department of Psychology, University of Miami, Miami, Florida
| | - Kunihiro Matsushita
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
- Division of Cardiology, Johns Hopkins School of Medicine, Johns Hopkins University, Baltimore, Maryland
| | | | - Amber Pirzada
- Institute for Minority Health Research, University of Illinois Chicago, Chicago
| | - Nicole Spartano
- National Heart, Lung, and Blood Institute’s and Boston University’s Framingham Heart Study, Framingham, Massachusetts
- Section of Endocrinology, Diabetes, Nutrition, and Weight Management, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
| | - Martha L. Daviglus
- Institute for Minority Health Research, University of Illinois Chicago, Chicago
| | - Ramachandran S. Vasan
- National Heart, Lung, and Blood Institute’s and Boston University’s Framingham Heart Study, Framingham, Massachusetts
- Section of Preventive Medicine and Epidemiology, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
- University of Texas School of Public Health, San Antonio
- University of Texas Health Science Center, San Antonio
| | - Robert C. Kaplan
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, New York
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15
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Kim SH. Reframing prediabetes: A call for better risk stratification and intervention. J Intern Med 2024; 295:735-747. [PMID: 38606904 DOI: 10.1111/joim.13786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/13/2024]
Abstract
Prediabetes is an intermediate state of glucose homeostasis whereby plasma glucose concentrations are above normal but below the threshold of diagnosis for diabetes. Over the last several decades, criteria for prediabetes have changed as the cut points for normal glucose concentration and diagnosis of diabetes have shifted. Global consensus does not exist for prediabetes criteria; as a result, the clinical course and risk for type 2 diabetes vary. At present, we can identify individuals with prediabetes based on three glycemic tests (hemoglobin A1c, fasting plasma glucose, and 2-h plasma glucose during an oral glucose tolerance test). The majority of individuals diagnosed with prediabetes meet only one of these criteria. Meeting one, two, or all glycemic criteria changes risk for type 2 diabetes, but this information is not widely known and does not currently guide intervention strategies for individuals with prediabetes. This review summarizes current epidemiology, prognosis, and intervention strategies for individuals diagnosed with prediabetes and suggests a call for more precise risk stratification of individuals with prediabetes as elevated (one prediabetes criterion), high risk (two prediabetes criteria), and very high risk (three prediabetes criteria). In addition, the roles of oral glucose tolerance testing and continuous glucose monitoring in the diagnostic criteria for prediabetes need reassessment. Finally, we must reframe our goals for prediabetes and prioritize intensive interventions for those at high and very high risk for type 2 diabetes.
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Affiliation(s)
- Sun H Kim
- Division of Endocrinology, Gerontology and Metabolism, Stanford University School of Medicine, Stanford, California, USA
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Singh S, Kriti M, K.S. A, Sarma DK, Verma V, Nagpal R, Mohania D, Tiwari R, Kumar M. Deciphering the complex interplay of risk factors in type 2 diabetes mellitus: A comprehensive review. Metabol Open 2024; 22:100287. [PMID: 38818227 PMCID: PMC11137529 DOI: 10.1016/j.metop.2024.100287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 05/15/2024] [Accepted: 05/18/2024] [Indexed: 06/01/2024] Open
Abstract
The complex and multidimensional landscape of type 2 diabetes mellitus (T2D) is a major global concern. Despite several years of extensive research, the precise underlying causes of T2D remain elusive, but evidence suggests that it is influenced by a myriad of interconnected risk factors such as epigenetics, genetics, gut microbiome, environmental factors, organelle stress, and dietary habits. The number of factors influencing the pathogenesis is increasing day by day which worsens the scenario; meanwhile, the interconnections shoot up the frame. By gaining deeper insights into the contributing factors, we may pave the way for the development of personalized medicine, which could unlock more precise and impactful treatment pathways for individuals with T2D. This review summarizes the state of knowledge about T2D pathogenesis, focusing on the interplay between various risk factors and their implications for future therapeutic strategies. Understanding these factors could lead to tailored treatments targeting specific risk factors and inform prevention efforts on a population level, ultimately improving outcomes for individuals with T2D and reducing its burden globally.
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Affiliation(s)
- Samradhi Singh
- ICMR- National Institute for Research in Environmental Health, Bhopal Bypass Road, Bhauri, Bhopal, 462030, Madhya Pradesh, India
| | - Mona Kriti
- ICMR- National Institute for Research in Environmental Health, Bhopal Bypass Road, Bhauri, Bhopal, 462030, Madhya Pradesh, India
| | - Anamika K.S.
- Christ Deemed to Be University Bangalore, Karnataka, India
| | - Devojit Kumar Sarma
- ICMR- National Institute for Research in Environmental Health, Bhopal Bypass Road, Bhauri, Bhopal, 462030, Madhya Pradesh, India
| | - Vinod Verma
- Stem Cell Research Centre, Department of Hematology, Sanjay Gandhi Post-Graduate Institute of Medical Sciences, Lucknow, 226014, Uttar Pradesh, India
| | - Ravinder Nagpal
- Department of Nutrition & Integrative Physiology, College of Health & Human Sciences, Florida State University, Tallahassee, FL, 32306, USA
| | - Dheeraj Mohania
- Dr. R. P. Centre, All India Institute of Medical Sciences, New Delhi, India
| | - Rajnarayan Tiwari
- ICMR- National Institute for Research in Environmental Health, Bhopal Bypass Road, Bhauri, Bhopal, 462030, Madhya Pradesh, India
| | - Manoj Kumar
- ICMR- National Institute for Research in Environmental Health, Bhopal Bypass Road, Bhauri, Bhopal, 462030, Madhya Pradesh, India
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Peng M, He S, Wang J, An Y, Qian X, Zhang B, Zhang L, Chen B, Yang Z, Li G, Gong Q. Efficacy of 1-hour postload plasma glucose as a suitable measurement in predicting type 2 diabetes and diabetes-related complications: A post hoc analysis of the 30-year follow-up of the Da Qing IGT and Diabetes Study. Diabetes Obes Metab 2024; 26:2329-2338. [PMID: 38488254 DOI: 10.1111/dom.15547] [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: 12/26/2023] [Revised: 02/27/2024] [Accepted: 02/27/2024] [Indexed: 05/09/2024]
Abstract
AIM To evaluate whether 1-hour plasma glucose (1hPG) can be a comparable measurement to 2-hour plasma glucose (2hPG) in identifying individuals at high risk of developing diabetes. METHODS A total of 1026 non-diabetic subjects in the Da Qing IGT and Diabetes Study were included and classified according to baseline postload 1hPG. The participants were followed up and assessed at 6-, 20- and 30year follow-up for outcomes including diabetes, all-cause and cardiovascular mortality, cardiovascular disease (CVD) events, and microvascular disease. We then conducted a proportional hazards analysis in this post hoc study to determine the risks of developing type 2 diabetes and its complications in a '1hPG-normal' group (1hPG <8.6 mmol/L) and a '1hPG-high' group (≥8.6 mmol/L). The predictive values of 1hPG and 2hPG were evaluated using a time-dependent receiver-operating characteristic (ROC) curve. RESULTS Compared with the 1hPG-normal group, the 1hPG-high group had increased risk of diabetes (hazard ratio [HR] 4.45, 95% CI 3.43-5.79), all-cause mortality (HR 1.46, 95% CI 1.07-2.01), CVD mortality (HR 1.84, 95% CI 1.16-2.95), CVD events (HR 1.39, 95% CI 1.03-1.86) and microvascular disease (HR 1.70, 95% CI: 1.03-2.79) after adjusting for confounders. 1hPG exhibited a higher area under the ROC curve (AUC) for predicting diabetes than 2hPG during the long-term follow-up (AUC [1hPG vs. 2hPG]: 10 years: 0.86 vs. 0.84, p = 0.08; 20 years: 0.88 vs. 0.87, p = 0.04; 30 years: 0.85 vs. 0.82, p = 0.009). CONCLUSIONS Elevated 1hPG level (≥8.6 mmol/L) was associated with increased risk of developing type 2 diabetes and its long-term complications, and could be considered as a suitable measurement for identifying individuals at high risk of type 2 diabetes.
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Affiliation(s)
- Minying Peng
- Center of Endocrinology, National Center of Cardiology & Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Siyao He
- Center of Endocrinology, National Center of Cardiology & Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jinping Wang
- Department of Cardiology, Da Qing Oilfield General Hospital, Daqing, China
| | - Yali An
- Center of Endocrinology, National Center of Cardiology & Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xin Qian
- Center of Endocrinology, National Center of Cardiology & Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Bo Zhang
- China-Japan Friendship Hospital, Beijing, China
| | - Lihong Zhang
- Center of Endocrinology, National Center of Cardiology & Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Bo Chen
- Division of Non-Communicable Disease Control and Community Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhiwei Yang
- Department of Cardiology, Da Qing Oilfield General Hospital, Daqing, China
| | - Guangwei Li
- Center of Endocrinology, National Center of Cardiology & Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- China-Japan Friendship Hospital, Beijing, China
| | - Qiuhong Gong
- Center of Endocrinology, National Center of Cardiology & Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Haseldine C, O'Donoghue G, Kearney PM, Riordan F, Kerins C, Kirby L, Humphreys M, McHugh S. Factors influencing participation in an online national diabetes prevention programme: A qualitative study with attenders and educators. Diabet Med 2024; 41:e15277. [PMID: 38150286 DOI: 10.1111/dme.15277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 12/14/2023] [Accepted: 12/15/2023] [Indexed: 12/28/2023]
Abstract
AIM To explore factors affecting participation in the pilot of the synchronous online national diabetes prevention programme (NDPP) in Ireland from the perspectives of those who attended and the educators who recruited for and delivered the programme. METHODS A qualitative study involving semi-structured interviews and focus groups with NDPP attenders (attended the assessment and at least one session) and educators (dietitians) on the programme. The Framework Method using the Theoretical Domains Framework (TDF) guided the analysis. RESULTS Thirteen attenders took part in two online focus groups and five online or phone interviews. Eight educators took part. Four themes which cut across the TDF domains were identified as factors influencing participation; (i) lack of awareness of prediabetes and fear of diabetes, relating to attenders' fear of diabetes and lack of knowledge of prediabetes and diabetes prevention; (ii) perceived need for programme support to change health behaviour, concerning attenders' and educators' recognition of the need for the NDPP; (iii) trust in healthcare professionals (HCPs), relating to trust in HCPs to convey the seriousness of prediabetes and the value of diabetes prevention programmes (DPPs) and (iv) practical and personal ease of joining online, relating to the flexibility and accessibility of the synchronous online group format, the IT skills of attenders and educators and apprehension about group education. CONCLUSIONS Raising awareness of prediabetes and the need for prevention programmes should be a priority for health services and HCPs. The synchronous online group format was seen as less daunting to join than a face-to-face programme and may be a useful option to encourage participation.
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Affiliation(s)
- Clair Haseldine
- University College Cork, School of Public Health, Cork, Ireland
| | - Grainne O'Donoghue
- University College Dublin, School of Public Health, Physiotherapy and Sports Science, Dublin, Ireland
| | | | - Fiona Riordan
- University College Cork, School of Public Health, Cork, Ireland
| | - Claire Kerins
- University College Cork, School of Public Health, Cork, Ireland
| | - Liz Kirby
- Health Service Executive, Diabetes Prevention Programme, Cork, Ireland
| | | | - Sheena McHugh
- University College Cork, School of Public Health, Cork, Ireland
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19
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Ioannou E, Humphreys H, Homer C, Purvis A. Beyond the individual: Socio-ecological factors impacting activity after gestational diabetes mellitus. Diabet Med 2024; 41:e15286. [PMID: 38291570 DOI: 10.1111/dme.15286] [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: 09/15/2023] [Revised: 12/14/2023] [Accepted: 01/09/2024] [Indexed: 02/01/2024]
Abstract
AIM The risk of Type 2 Diabetes is 10 times higher after a pregnancy with Gestational Diabetes. Physical activity can independently reduce this risk, yet engagement with physical activity remains low after Gestational Diabetes. Therefore, the present study aimed to explore the barriers and facilitators to the uptake of physical activity after Gestational Diabetes in the United Kingdom, using a socio-ecological approach. METHODS The paper was written following the Standards for Reporting Qualitative Research. Patient and Public Involvement contributed to the study's conceptualisation and design. Participants were recruited through an audit of Gestational Diabetes cases at a local Teaching Hospital in 2020. Twelve participants took part in semi-structured one-to-one interviews. Reflexive thematic analysis was used to generate themes in iterative rounds of refinement. The final themes were then organised using the socio-ecological model. RESULTS Participants were all over 31 years old, predominantly self-identified as White British and were all in employment but were evenly spread across UK-based deprivation deciles. Ten themes were generated and organised according to the four levels of the socio-ecological model: intrapersonal (beliefs about activity, recovering from birth), social (health care professionals, family and partner, role as a mother), organisational (access and cost, environment, childcare and work) and community (connecting women with recent Gestational Diabetes). CONCLUSIONS Many of the amenable barriers and facilitators to physical activity were beyond the intrapersonal level, based on higher levels of the socio-ecological model (social, organisational and community). Multi-level interventions are needed to effectively address all barriers.
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Affiliation(s)
- Elysa Ioannou
- Sport and Physical Activity Research Centre, Sheffield Hallam University, Sheffield, UK
| | - Helen Humphreys
- Centre for Behavioural Science and Applied Psychology (CeBSAP), Sheffield Hallam University, Sheffield, UK
| | - Catherine Homer
- Sport and Physical Activity Research Centre, Sheffield Hallam University, Sheffield, UK
| | - Alison Purvis
- Sport and Physical Activity Research Centre, Sheffield Hallam University, Sheffield, UK
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Fan Y, Chow E, Lim CKP, Hou Y, Tsoi STF, Fan B, Lau ESH, Kong APS, Ma RCW, Wu H, Chan JCN, Luk AOY. Comparison of β-Cell Function and Insulin Sensitivity Between Normal-Weight and Obese Chinese With Young-Onset Type 2 Diabetes. Diabetes 2024; 73:953-963. [PMID: 38506952 DOI: 10.2337/db23-0966] [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: 12/07/2023] [Accepted: 03/17/2024] [Indexed: 03/22/2024]
Abstract
Normal-weight individuals with usual-onset type 2 diabetes have reduced β-cell function and greater insulin sensitivity compared with their obese counterparts. The relative contribution of β-cell dysfunction and insulin resistance to young-onset type 2 diabetes (YOD) among normal-weight individuals is not well established. In 44 individuals with YOD (24 with normal weight and 20 with obesity) and 24 healthy control individuals with normoglycemia (12 with normal weight and 12 with obesity), we conducted 2-h 12 mmol/L hyperglycemic clamps to measure acute (0-10 min) and steady-state (100-120 min) insulin and C-peptide responses, as well as insulin sensitivity index. Normal-weight individuals with YOD had lower acute insulin response, steady-state insulin and C-peptide responses, and a higher insulin sensitivity index compared with their obese counterparts with YOD. Compared with BMI-matched healthy control individuals, normal-weight individuals with YOD had lower acute and steady-state insulin and C-peptide responses but a similar insulin sensitivity index. The impairment of steady-state β-cell response relative to healthy control individuals was more pronounced in normal-weight versus obese individuals with YOD. In conclusion, normal-weight Chinese with YOD exhibited worse β-cell function but preserved insulin sensitivity relative to obese individuals with YOD and BMI-matched healthy individuals with normoglycemia. The selection of glucose-lowering therapy should account for pathophysiological differences underlying YOD between normal-weight and obese individuals. ARTICLE HIGHLIGHTS
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Affiliation(s)
- Yingnan Fan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Elaine Chow
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
- Phase 1 Clinical Trial Centre, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Cadmon K P Lim
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Yong Hou
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Sandra T F Tsoi
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Baoqi Fan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Eric S H Lau
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Alice P S Kong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Ronald C W Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Hongjiang Wu
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Juliana C N Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Andrea O Y Luk
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
- Phase 1 Clinical Trial Centre, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
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MacPherson MM, Johnston C, Cranston KD, Der S, Sim JAP, Jung ME. Identification of Intervention Characteristics Within Diabetes Prevention Programs Using the Template for Intervention Description and Replication: A Scoping Review. Can J Diabetes 2024; 48:273-280. [PMID: 38417737 DOI: 10.1016/j.jcjd.2024.02.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 01/19/2024] [Accepted: 02/21/2024] [Indexed: 03/01/2024]
Abstract
OBJECTIVES Diabetes prevention programs (DPPs) targeting dietary and physical activity behaviour change have been shown to decrease the incidence of type 2 diabetes; however, a more thorough reporting of intervention characteristics is needed to expedite the translation of such programs into different communities. In this scoping review, we aim to synthesize how DPPs are being reported and implemented. METHODS A scoping review using Arkey and O'Malley methods was conducted in accordance with the guidelines of Preferred Reporting Items for Systematic Reviews and Meta-Analysis. MEDLINE, CINAHL, PsycINFO, EMBASE, and SPORTDiscus were searched for studies relating to diabetes prevention and diet/exercise interventions. Only studies delivering a diet/exercise intervention for adults identified as "at risk" for developing type 2 diabetes were included. The Template for Intervention Description and Replication (TIDieR) was used to guide data extraction, and each DPP was scored on a scale from 0 to 2 for how thoroughly it reported each of the items (0 = did not report, 2 = reported in full; total score out of 26). RESULTS Of the 25,110 publications screened, 351 (based on 220 programs) met the inclusion criteria and were included for data extraction. No studies comprehensively reported on all TIDieR domains (mean TIDieR score: 15.7 of 26; range 7 to 25). Reporting was particularly poor among domains related to "modifications," "tailoring," and "how well (planned/actual)." "How well (planned)" assesses the intended delivery of an intervention, detailing the initial strategies and components as per the original design, whereas "how well (actual)" evaluates the extent to which the intervention was executed as planned during the study, including any deviations or modifications made in practice. CONCLUSIONS Although there is evidence to suggest that DPPs are efficacious, a more thorough reporting of program content and delivery is needed to improve the ability for effective programs to be implemented or translated into different communities.
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Affiliation(s)
- Megan M MacPherson
- School of Health and Exercise Sciences, University of British Columbia, Kelowna, British Columbia, Canada
| | - Cara Johnston
- School of Health and Exercise Sciences, University of British Columbia, Kelowna, British Columbia, Canada
| | - Kaela D Cranston
- School of Health and Exercise Sciences, University of British Columbia, Kelowna, British Columbia, Canada
| | - Sarah Der
- School of Health and Exercise Sciences, University of British Columbia, Kelowna, British Columbia, Canada
| | - Jenna A P Sim
- School of Health and Exercise Sciences, University of British Columbia, Kelowna, British Columbia, Canada
| | - Mary E Jung
- School of Health and Exercise Sciences, University of British Columbia, Kelowna, British Columbia, Canada.
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Hrubeniuk TJ, Bouchard DR, Gurd BJ, Sénéchal M. Increasing aerobic exercise intensity fails to consistently improve the glycemic response in people living with prediabetes or type 2 diabetes mellitus: the INTENSITY trial. Appl Physiol Nutr Metab 2024; 49:792-804. [PMID: 38382049 DOI: 10.1139/apnm-2023-0495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/23/2024]
Abstract
Some individuals with prediabetes or type 2 diabetes mellitus (T2DM) who engage in exercise will not experience the anticipated improvements in glycemic control, referred to as non-responders. Increasing exercise intensity may improve the proportion of individuals who become responders. The objectives were to (i) identify responders and non-responders based on changes in glycated hemoglobin (HbA1c) in individuals with prediabetes or T2DM following 16 weeks of aerobic exercise; (ii) investigate if increasing exercise intensity enhances the responders' status for individuals not previously responding favourably to the intervention. Participants (n = 40; age = 58.0 years (52.0-66.0); HbA1c = 7.0% (6.0-7.2)) engaged in a two-phase, randomized study design. During phase one, participants performed 16 weeks of treadmill-based, supervised, aerobic exercise at 4.5 metabolic equivalents (METs) for 150 min per week. Thereafter, participants were categorized as responders, non-responders, or unclear based on the 90% confidence interval above, below, or crossing a 0.3% reduction in HbA1c. For phase two, participants were randomized to a maintained intensity (4.5 METs) or increased intensity (6.0 METs) group for 12 weeks. Following phase one, two (4.1%) participants were categorized as responders, four (8.2%) as non-responders, and 43 (87.7%) as unclear. Following phase two, two from the increased intensity group and one from the maintained intensity group experienced an improvement in response categorization. There were no significant between or within group (maintained vs. increased) differences in HbA1c. For most people with prediabetes or T2DM, increasing exercise intensity by 1.5 METs does not improve response categorization.
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Affiliation(s)
- Travis J Hrubeniuk
- Interdisciplinary Studies, University of New Brunswick, Fredericton, NB, Canada
- Cardiometabolic Exercise and Lifestyle Laboratory, University of New Brunswick, Fredericton, NB, Canada
| | - Danielle R Bouchard
- Cardiometabolic Exercise and Lifestyle Laboratory, University of New Brunswick, Fredericton, NB, Canada
- Faculty of Kinesiology, University of New Brunswick, Fredericton, NB, Canada
| | - Brendon J Gurd
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON, Canada
| | - Martin Sénéchal
- Cardiometabolic Exercise and Lifestyle Laboratory, University of New Brunswick, Fredericton, NB, Canada
- Faculty of Kinesiology, University of New Brunswick, Fredericton, NB, Canada
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23
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Ravindranath R, Sarma PS, Sivasankaran S, Thankappan KR, Jeemon P. Voices of care: unveiling patient journeys in primary care for hypertension and diabetes management in Kerala, India. Front Public Health 2024; 12:1375227. [PMID: 38846619 PMCID: PMC11155455 DOI: 10.3389/fpubh.2024.1375227] [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: 01/23/2024] [Accepted: 05/06/2024] [Indexed: 06/09/2024] Open
Abstract
Background Diabetes and hypertension are leading public health problems, particularly affecting low- and middle-income countries, with considerable variations in the care continuum between different age, socio-economic, and rural and urban groups. In this qualitative study, examining the factors affecting access to healthcare in Kerala, we aim to explore the healthcare-seeking pathways of people living with diabetes and hypertension. Methods We conducted 20 semi-structured interviews and one focus group discussion (FGD) on a purposive sample of people living with diabetes and hypertension. Participants were recruited at four primary care facilities in Malappuram district of Kerala. Interviews were transcribed and analyzed deductively and inductively using thematic analysis underpinned by Levesque et al.'s framework. Results The patient journey in managing diabetes and hypertension is complex, involving multiple entry and exit points within the healthcare system. Patients did not perceive Primary Health Centres (PHCs) as their initial points of access to healthcare, despite recognizing their value for specific services. Numerous social, cultural, economic, and health system determinants underpinned access to healthcare. These included limited patient knowledge of their condition, self-medication practices, lack of trust/support, high out-of-pocket expenditure, unavailability of medicines, physical distance to health facilities, and attitude of healthcare providers. Conclusion The study underscores the need to improve access to timely diagnosis, treatment, and ongoing care for diabetes and hypertension at the lower level of the healthcare system. Currently, primary healthcare services do not align with the "felt needs" of the community. Practical recommendations to address the social, cultural, economic, and health system determinants include enabling and empowering people with diabetes and hypertension and their families to engage in self-management, improving existing health information systems, ensuring the availability of diagnostics and first-line drug therapy for diabetes and hypertension, and encouraging the use of single-pill combination (SPC) medications to reduce pill burden. Ensuring equitable access to drugs may improve hypertension and diabetes control in most disadvantaged groups. Furthermore, a more comprehensive approach to healthcare policy that recognizes the interconnectedness of non-communicable diseases (NCDs) and their social determinants is essential.
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Affiliation(s)
- Ranjana Ravindranath
- Achutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, India
| | - P. Sankara Sarma
- Achutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, India
| | | | | | - Panniyammakal Jeemon
- Achutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, India
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Nguyen V, Ara P, Simmons D, Osuagwu UL. The Role of Digital Health Technology Interventions in the Prevention of Type 2 Diabetes Mellitus: A Systematic Review. Clin Med Insights Endocrinol Diabetes 2024; 17:11795514241246419. [PMID: 38779330 PMCID: PMC11110501 DOI: 10.1177/11795514241246419] [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: 07/05/2023] [Accepted: 03/26/2024] [Indexed: 05/25/2024] Open
Abstract
Objectives Diabetes in the 21st century presents one of the greatest burdens of disease on the global population. Digitally mediated interventions have become imperative in alleviating this disease epidemic. We aimed to systematically review randomized controlled trials (RCTs) on different health technologies for preventing Type 2 diabetes mellitus, and their efficacy in decreasing diabetes risk-related outcomes in at-risk patients in comparison to standard care. Methods Five electronic databases were searched between October 2021 and December 2022. Studies including digital health technology interventions used for preventing diabetes development by reducing diabetes risk-related outcomes in at-risk adults (⩾18 years) were identified. Data on glycemic levels, incidence of T2DM, weight, and intervention descriptions were extracted, and the risk of bias (ROB) was assessed. Results Nine studies met the inclusion criteria and 5 studies (56%) achieved clinically significant outcomes in at least one of the following: decreased weight (22%), glycemic levels (22%), or incidence of T2DM (11%). Two of the 3 (67%) computer-based interventions effectively reduced the HbA1c levels and mean weight of their study population, and 3 of 6 (50%) mobile based interventions (text messages, mobile app, and telehealth) decreased the incidence of T2DM and HbA1c levels. Four studies each had an overall low ROB and one had a high ROB due to attrition. Conclusion Preliminary evidence identified in our review demonstrated that health technologies for diabetes prevention are effective for improving diabetes risk-related outcomes. Future research into digital technology protocol and studies of longer duration and more diverse populations are needed for clinical feasibility.
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Affiliation(s)
- Vivien Nguyen
- School of Medicine, Western Sydney University, Campbelltown, NSW, Australia
| | - Paige Ara
- School of Medicine, Western Sydney University, Campbelltown, NSW, Australia
| | - David Simmons
- School of Medicine, Western Sydney University, Campbelltown, NSW, Australia
- Translational Health Research Institute, Western Sydney University, NSW, Australia
| | - Uchechukwu Levi Osuagwu
- School of Medicine, Western Sydney University, Campbelltown, NSW, Australia
- Translational Health Research Institute, Western Sydney University, NSW, Australia
- Bathurst Rural Clinical School (BRCS), School of Medicine, Western Sydney University, Bathurs, NSW, Australia
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Ma X, Yang Y, Qian S, Ding Y, Lin Q, Wang N. Perceptions of Chinese women with a history of gestational diabetes regarding health behaviors and related factors: a directed qualitative content analysis. BMC Public Health 2024; 24:1237. [PMID: 38711101 PMCID: PMC11071205 DOI: 10.1186/s12889-024-18731-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Accepted: 04/29/2024] [Indexed: 05/08/2024] Open
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) is one of the most common metabolic disorders during pregnancy and is associated with adverse outcomes in both mothers and their children. After delivery, women who experience GDM are also at higher risk of both subsequent GDM and type 2 diabetes mellitus (T2DM) than those who do not. Therefore, healthcare providers and public health practitioners need to develop targeted and effective interventions for GDM. In this study, we aimed to explore the perceptions regarding health behaviors and related factors during the inter-pregnancy period among Chinese women with a history of GDM through the lens of the theory of planned behavior (TPB). METHODS Between December 2021 and September 2022, 16 pregnant Chinese women with a history of GDM were purposively recruited from a tertiary maternity hospital in Shanghai for face-to-face semi-structured interviews. They were asked questions regarding their health behaviors and related factors. The transcribed data were analyzed using a directed qualitative content analysis method based on the theory of TPB. RESULTS The health-related behaviors of the women varied substantially. We identified five domains that influenced women's behaviors according to TPB constructs and based on the data collected: behavioral attitude (perceived benefits of healthy behaviors and the relationship between experience and attitude towards the oral glucose tolerance testing); subjective norms (influences of significant others and traditional cultural beliefs); perceived behavior control (knowledge of the disease, multiple-role conflict, the impact of COVID-19, an unfriendly external environment and difficulty adhering to healthy diets), incentive mechanisms (self-reward and external incentives); preferences of professional and institutional support (making full use of social media platform and providing continuous health management). CONCLUSIONS The health-related behaviors of women with a history of GDM were found to be affected by multiple factors. Healthcare professionals are recommended to provide women with sufficient information regarding the disease and to take advantage of the power of the family and other social support networks to improve women's subjective norms and to promote the adoption of a healthy lifestyle.
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Affiliation(s)
- Xiaoxia Ma
- Nursing Department, Obstetrics and Gynaecology Hospital of Fudan University, No. 128 Shenyang Road, Shanghai, 200090, China
- School of Nursing, Fudan University, Shanghai, China
| | - Yun Yang
- Nursing Department, Obstetrics and Gynaecology Hospital of Fudan University, No. 128 Shenyang Road, Shanghai, 200090, China
| | - Shuhua Qian
- Nursing Department, Obstetrics and Gynaecology Hospital of Fudan University, No. 128 Shenyang Road, Shanghai, 200090, China
| | - Yan Ding
- Nursing Department, Obstetrics and Gynaecology Hospital of Fudan University, No. 128 Shenyang Road, Shanghai, 200090, China
| | - Qiping Lin
- Nursing Department, Obstetrics and Gynaecology Hospital of Fudan University, No. 128 Shenyang Road, Shanghai, 200090, China.
| | - Na Wang
- Nursing Department, Obstetrics and Gynaecology Hospital of Fudan University, No. 128 Shenyang Road, Shanghai, 200090, China.
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26
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Hwang J, Kim H, Kwon O. Dietary patterns and the risk of diabetes in Korean adults: A cross-sectional and prospective cohort study. Nutrition 2024; 125:112491. [PMID: 38865772 DOI: 10.1016/j.nut.2024.112491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Revised: 04/12/2024] [Accepted: 05/01/2024] [Indexed: 06/14/2024]
Abstract
OBJECTIVE The aim of this study was to identify dietary patterns associated with diabetes in Korean adults and to investigate their association with diabetes risk in both a cross-sectional and prospective study. METHODS Predefined food groups collected by the Korea National Health and Nutrition Examination Survey (KNHANES 2015-2018, n = 19 721) were entered in a reduced rank regression (RRR) model, followed by stepwise linear regression analyses to identify the most predictive dietary patterns. We evaluated the construct validity of dietary patterns in two independent samples from KNHANES 2019 to 2021 (n = 14 223) and the Health Examinees (HEXA) cohort study (n = 30 013). Associations between dietary patterns and diabetes risk were examined using multivariable regression and multivariable-adjusted Cox proportional hazard models, respectively. RESULTS A dietary pattern was identified with high positive loadings for refined white rice, kimchi and salted vegetables, wheat flour and bread, and seasonings, and high negative loadings for whole grains, legumes with tofu and soymilk, poultry, eggs, and plant oils. The higher pattern scores were significantly associated with diabetes risk in KNHANES 2015 to 2018 (male: odds ratio [OR]: 1.59; 95% confidence interval [CI]: 1.35, 1.88; female: OR: 1.37; 95% CI: 1.18, 1.52), KNHANES 2019 to 2021 (male: OR: 1.47; 95% CI: 1.01, 1.69; female: OR: 1.37; 95% CI: 1.18, 1.54), and HEXA study (male: hazard ratio [HR]: 1.10; 95% CI: 1.01, 1.34; female: HR: 1.24; 95% CI: 1.02, 1.52). CONCLUSIONS Dietary patterns derived by RRR followed by stepwise linear regression analyses were associated with increased risks of diabetes among Korean adults.
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Affiliation(s)
- Jiyoung Hwang
- Department of Nutritional Science and Food Management, Ewha Womans University, Seoul, Republic of Korea; Graduate Program in System Health Science and Engineering, Ewha Womans University, Seoul, Republic of Korea
| | - Hyesook Kim
- Department of Food and Nutrition, Wonkwang University, Jeonbuk, Republic of Korea
| | - Oran Kwon
- Department of Nutritional Science and Food Management, Ewha Womans University, Seoul, Republic of Korea; Graduate Program in System Health Science and Engineering, Ewha Womans University, Seoul, Republic of Korea.
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Viswanathan V, Murugan P, Kumpatla S, Parveen R, Devarajan A. Prevention of diabetes from prediabetes in real world setting in South India. Diabetes Metab Syndr 2024; 18:103041. [PMID: 38795632 DOI: 10.1016/j.dsx.2024.103041] [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: 02/04/2023] [Revised: 05/09/2024] [Accepted: 05/15/2024] [Indexed: 05/28/2024]
Abstract
AIM The aim was to explore the effect of lifestyle modification in a real world situation to prevent the progression to diabetes in India. METHODS Participants who underwent OGTT from August 2017-2022 and were diagnosed as having Prediabetes (n = 200) were assigned into control (group1, n = 100) received standard care and intervention (group2, n = 100) received intensive counseling on physical activity (PA) and diet. PA included walking for 150 min/week and personalized advice based on the profession. OGTTs were repeated once every 6 months for 5 years and primary outcome was development of DM. RESULTS The conversion rate was significantly higher in the control group than the intervention group (44.6 vs.7.9 %, p < 0.0001). Individuals who reverted back to normal was significantly higher in Group2 compared to Group1 (34.9 vs.6.2 %; p < 0.001). A significant increase in weight, BMI and waist circumference in group1 and significant reduction in glucose and HbA1c was noted in group2. Mean (95%CI) survival time for Group1 was 25.4 (20.8-29.9) and Group2 was 36.4months (32.6-40.1; p < 0.001). The factors which influenced the conversion of prediabetes to DM were averaged BMI, fasting and 2hr glucose levels of all follow up visit measurements. CONCLUSION We can prevent diabetes in individuals with prediabetes using real world strategies in India.
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Affiliation(s)
- Vijay Viswanathan
- M.V. Hospital for Diabetes and Prof. M. Viswanathan Diabetes Research Centre (IDF Centre for Excellence in Diabetes Care), Royapuram, Chennai, Tamil Nadu, India.
| | - Premalatha Murugan
- M.V. Hospital for Diabetes and Prof. M. Viswanathan Diabetes Research Centre (IDF Centre for Excellence in Diabetes Care), Royapuram, Chennai, Tamil Nadu, India.
| | - Satyavani Kumpatla
- M.V. Hospital for Diabetes and Prof. M. Viswanathan Diabetes Research Centre (IDF Centre for Excellence in Diabetes Care), Royapuram, Chennai, Tamil Nadu, India.
| | - Rizwana Parveen
- M.V. Hospital for Diabetes and Prof. M. Viswanathan Diabetes Research Centre (IDF Centre for Excellence in Diabetes Care), Royapuram, Chennai, Tamil Nadu, India
| | - Arutselvi Devarajan
- M.V. Hospital for Diabetes and Prof. M. Viswanathan Diabetes Research Centre (IDF Centre for Excellence in Diabetes Care), Royapuram, Chennai, Tamil Nadu, India.
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Washirasaksiri C, Pakornnipat W, Ariyakunaphan P, Kositamongkol C, Polmanee C, Preechasuk L, Jaiborisuttigull N, Sitasuwan T, Tinmanee R, Pramyothin P, Srivanichakorn W. Effectiveness of a cognitive behavioral therapy-integrated, hospital-based program for prediabetes: a matched cohort study. Sci Rep 2024; 14:8010. [PMID: 38580745 PMCID: PMC10997588 DOI: 10.1038/s41598-024-58739-8] [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: 12/11/2023] [Accepted: 04/02/2024] [Indexed: 04/07/2024] Open
Abstract
Intensive lifestyle interventions are effective in preventing T2DM, but evidence is lacking for high cardiometabolic individuals in hospital settings. We evaluated a hospital-based, diabetes prevention program integrating cognitive behavioral therapy (CBT) for individuals with prediabetes. This matched cohort assessed individuals with prediabetes receiving the prevention program, which were matched 1:1 with those receiving standard care. The year-long program included five in-person sessions and several online sessions covering prediabetes self-management, dietary and behavioral interventions. Kaplan-Meier and Cox regression models estimated the 60-month T2DM incidence rate. Of 192 patients, 190 joined the prevention program, while 190 out of 10,260 individuals were in the standard-care group. Both groups had similar baseline characteristics (mean age 58.9 ± 10.2 years, FPG 102.3 ± 8.2 mg/dL, HbA1c 5.9 ± 0.3%, BMI 26.2 kg/m2, metabolic syndrome 75%, and ASCVD 6.3%). After 12 months, the intervention group only showed significant decreases in FPG, HbA1c, and triglyceride levels and weight. At 60 months, the T2DM incidence rate was 1.7 (95% CI 0.9-2.8) in the intervention group and 3.5 (2.4-4.9) in the standard-care group. After adjusting for variables, the intervention group had a 0.46 times lower risk of developing diabetes. Therefore, healthcare providers should actively promote CBT-integrated, hospital-based diabetes prevention programs to halve diabetes progression.
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Affiliation(s)
- Chaiwat Washirasaksiri
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, 2 Wang Lang Road, Bangkok Noi, Bangkok, 10700, Thailand
| | - Withada Pakornnipat
- Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Pinyapat Ariyakunaphan
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, 2 Wang Lang Road, Bangkok Noi, Bangkok, 10700, Thailand
| | - Chayanis Kositamongkol
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, 2 Wang Lang Road, Bangkok Noi, Bangkok, 10700, Thailand
| | - Chaiyaporn Polmanee
- Siriraj Diabetes Center of Excellence, Mahidol University, Bangkok, Thailand
| | - Lukana Preechasuk
- Siriraj Diabetes Center of Excellence, Mahidol University, Bangkok, Thailand
| | - Naris Jaiborisuttigull
- Preventive and Health Promotion Nursing Unit, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Tullaya Sitasuwan
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, 2 Wang Lang Road, Bangkok Noi, Bangkok, 10700, Thailand
| | - Rungsima Tinmanee
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, 2 Wang Lang Road, Bangkok Noi, Bangkok, 10700, Thailand
| | - Pornpoj Pramyothin
- Division of Nutrition, Department of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Weerachai Srivanichakorn
- Division of Ambulatory Medicine, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, 2 Wang Lang Road, Bangkok Noi, Bangkok, 10700, Thailand.
- Siriraj Diabetes Center of Excellence, Mahidol University, Bangkok, Thailand.
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Xu J, Goto A, Konishi M, Kato M, Mizoue T, Terauchi Y, Tsugane S, Sawada N, Noda M. Development and Validation of Prediction Models for the 5-year Risk of Type 2 Diabetes in a Japanese Population: Japan Public Health Center-based Prospective (JPHC) Diabetes Study. J Epidemiol 2024; 34:170-179. [PMID: 37211395 PMCID: PMC10918338 DOI: 10.2188/jea.je20220329] [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: 05/13/2022] [Accepted: 04/10/2023] [Indexed: 05/23/2023] Open
Abstract
BACKGROUND This study aimed to develop models to predict the 5-year incidence of type 2 diabetes mellitus (T2DM) in a Japanese population and validate them externally in an independent Japanese population. METHODS Data from 10,986 participants (aged 46-75 years) in the development cohort of the Japan Public Health Center-based Prospective Diabetes Study and 11,345 participants (aged 46-75 years) in the validation cohort of the Japan Epidemiology Collaboration on Occupational Health Study were used to develop and validate the risk scores in logistic regression models. RESULTS We considered non-invasive (sex, body mass index, family history of diabetes mellitus, and diastolic blood pressure) and invasive (glycated hemoglobin [HbA1c] and fasting plasma glucose [FPG]) predictors to predict the 5-year probability of incident diabetes. The area under the receiver operating characteristic curve was 0.643 for the non-invasive risk model, 0.786 for the invasive risk model with HbA1c but not FPG, and 0.845 for the invasive risk model with HbA1c and FPG. The optimism for the performance of all models was small by internal validation. In the internal-external cross-validation, these models tended to show similar discriminative ability across different areas. The discriminative ability of each model was confirmed using external validation datasets. The invasive risk model with only HbA1c was well-calibrated in the validation cohort. CONCLUSION Our invasive risk models are expected to discriminate between high- and low-risk individuals with T2DM in a Japanese population.
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Affiliation(s)
- Juan Xu
- Department of Endocrinology and Metabolism, Graduate School of Medicine, Yokohama City University, Yokohama, Japan
| | - Atsushi Goto
- Department of Health Data Science, Graduate School of Data Science, Yokohama City University, Yokohama, Japan
| | - Maki Konishi
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan
| | - Masayuki Kato
- Health Management Center and Diagnostic Imaging Center, Toranomon Hospital, Tokyo, Japan
| | - Tetsuya Mizoue
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan
| | - Yasuo Terauchi
- Department of Endocrinology and Metabolism, Graduate School of Medicine, Yokohama City University, Yokohama, Japan
| | - Shoichiro Tsugane
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
- National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan
| | - Norie Sawada
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, Tokyo, Japan
| | - Mitsuhiko Noda
- Department of Diabetes, Metabolism and Endocrinology, Ichikawa Hospital, International University of Health and Welfare, Chiba, Japan
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Al Rifai M, Al-Mallah MH, Blaha MJ, Patel J, McEvoy JW, Nasir K, Shahid I, Patel KV, Sharma G, Marrugat J, Tizon-Marcos H, Erbel R, Stang A, Jöckel KH, Lehmann N, Schramm S, Schmidt B, Blumenthal RS, Virani SS, Nambi V, Cainzos-Achirica M. Epidemiology and Prognostic Implications of Coronary Artery Calcium in Asymptomatic Individuals With Prediabetes: A Multicohort Study. Diabetes Care 2024; 47:698-706. [PMID: 38329795 DOI: 10.2337/dc23-1864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 01/08/2024] [Indexed: 02/09/2024]
Abstract
OBJECTIVE To describe the epidemiology and prognostic value of coronary artery calcium (CAC) in individuals with prediabetes. RESEARCH DESIGN AND METHODS We pooled participants free of clinical atherosclerotic cardiovascular disease (ASCVD) from four prospective cohorts: the Multi-Ethnic Study of Atherosclerosis, Heinz Nixdorf Recall Study, Framingham Heart Study, and Jackson Heart Study. Two definitions were used for prediabetes: inclusive (fasting plasma glucose [FPG] ≥100 to <126 mg/dL and hemoglobin A1c [HbA1c] ≥5.7% to <6.5%, if available, and no glucose-lowering medications) and restrictive (FPG ≥110 to <126 mg/dL and HbA1c ≥5.7% to <6.5%, if available, among participants not taking glucose-lowering medications). RESULTS The study included 13,376 participants (mean age 58 years; 54% women; 57% White; 27% Black). The proportions with CAC ≥100 were 17%, 22%, and 37% in those with euglycemia, prediabetes, and diabetes, respectively. Over a median (25th-75th percentile) follow-up time of 14.6 (interquartile range 7.8-16.4) years, individuals with prediabetes and CAC ≥100 had a higher unadjusted 10-year incidence of ASCVD (13.4%) than the overall group of those with diabetes (10.6%). In adjusted analyses, using the inclusive definition of prediabetes, compared with euglycemia, the hazard ratios (HRs) for ASCVD were 0.79 (95% CI 0.62, 1.01) for prediabetes and CAC 0, 0.70 (0.54, 0.89) for prediabetes and CAC 1-99, 1.54 (1.27, 1.88) for prediabetes and CAC ≥100, and 1.64 (1.39, 1.93) for diabetes. Using the restrictive definition, the HR for ASCVD was 1.63 (1.29, 2.06) for prediabetes and CAC ≥100. CONCLUSIONS CAC ≥100 is frequent among individuals with prediabetes and identifies a high ASCVD risk subgroup in which the adjusted ASCVD risk is similar to that in individuals with diabetes.
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Affiliation(s)
| | | | - Michael J Blaha
- Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Baltimore, MD
| | - Jaideep Patel
- Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Baltimore, MD
- Johns Hopkins Heart Center, Greater Baltimore Medical Center, Baltimore, MD
| | - John W McEvoy
- Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Baltimore, MD
- National Institute for Prevention and Cardiovascular Health, Galway, Ireland
| | - Khurram Nasir
- Houston Methodist DeBakey Heart & Vascular Center, Houston, TX
- Houston Methodist Academic Institute, Houston, TX
- Division of Cardiovascular Prevention and Wellness, Department of Cardiology, Houston Methodist DeBakey Heart & Vascular Center, Houston, TX
- Center for Outcomes Research, Houston Methodist, Houston, TX
| | - Izza Shahid
- Houston Methodist Academic Institute, Houston, TX
| | - Kershaw V Patel
- Houston Methodist DeBakey Heart & Vascular Center, Houston, TX
- Houston Methodist Academic Institute, Houston, TX
- Division of Cardiovascular Prevention and Wellness, Department of Cardiology, Houston Methodist DeBakey Heart & Vascular Center, Houston, TX
- Center for Outcomes Research, Houston Methodist, Houston, TX
| | - Garima Sharma
- Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Baltimore, MD
- Inova Women's Cardiovascular Health, Fairfax, VA
| | - Jaume Marrugat
- Hospital del Mar, Barcelona, Spain
- Hospital del Mar Research Institute, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Madrid, Spain
| | - Helena Tizon-Marcos
- Hospital del Mar, Barcelona, Spain
- Hospital del Mar Research Institute, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares, Madrid, Spain
| | - Raimund Erbel
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Andreas Stang
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Nils Lehmann
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Sara Schramm
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Börge Schmidt
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Roger S Blumenthal
- Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Baltimore, MD
| | - Salim S Virani
- Aga Khan University, Karachi, Pakistan
- Texas Heart Institute, Houston, TX
- Baylor College of Medicine, Houston, TX
| | - Vijay Nambi
- Section of Cardiology, Baylor College of Medicine, Houston, TX
- Center for Cardiometabolic Disease Prevention, Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, TX
- Section of Cardiology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX
| | - Miguel Cainzos-Achirica
- Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Baltimore, MD
- Hospital del Mar, Barcelona, Spain
- Hospital del Mar Research Institute, Barcelona, Spain
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Yu L, Wang J, Gong Q, An Y, Chen F, Chen Y, Chen X, He S, Qian X, Chen B, Dong F, Li H, Zhao F, Zhang B, Li G. Influence of a diet and/or exercise intervention on long-term mortality and vascular complications in people with impaired glucose tolerance: Da Qing Diabetes Prevention Outcome study. Diabetes Obes Metab 2024; 26:1188-1196. [PMID: 38168886 DOI: 10.1111/dom.15413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 12/03/2023] [Accepted: 12/04/2023] [Indexed: 01/05/2024]
Abstract
AIM We aimed to investigate the long-term influence of a diet and/or exercise intervention on long-term mortality and cardiovascular disease (CVD) events. METHODS The Da Qing Diabetes Prevention Study had 576 participants with impaired glucose tolerance (IGT) randomized to diet-only, exercise-only and diet-plus-exercise intervention group and control group. The participants underwent lifestyle interventions for 6 years. The subsequent Da Qing Diabetes Prevention Outcome Study was a prospective cohort study to follow-up the participants for up to 24 years after the end of 6-year intervention. In total, 540 participants completed the follow-up, while 36 subjects lost in follow-up. Cox proportional hazards analysis was applied to assess the influence of lifestyle interventions on targeted outcomes. RESULTS Compared with controls, the diet-only intervention in people with IGT was significantly associated with a reduced risk of all-cause death [hazard ratio (HR) 0.77, 95% confidence interval (CI) (0.61-0.97)], CVD death [HR 0.67, 95% CI (0.46-0.97)] and CVD events [HR 0.72, 95% CI (0.54-0.96)]. The diet-plus-exercise intervention was significantly associated with a decreased risk of all-cause death [HR 0.64, 95% CI (0.48-0.84)], CVD death [HR 0.54, 95% CI (0.30-0.97)] and CVD events [HR 0.68, 95% CI (0.52-0.90)]. Unexpectedly, the exercise-only intervention was not significantly associated with the reduction of any of these outcomes, although there was a consistent trend towards reduction. CONCLUSIONS A diet-only intervention and a diet-plus-exercise intervention in people with IGT were significantly associated with a reduced risk of all-cause death, CVD death and CVD events, while an exercise-only intervention was not. It suggests that diet-related interventions may have a potentially more reliable influence on long-term vascular complications and mortality.
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Affiliation(s)
- Liping Yu
- Department of Endocrinology, China-Japan Friendship Hospital, Beijing, China
| | - Jinping Wang
- Department of Cardiology, Da Qing First Hospital, Da Qing, China
| | - Qiuhong Gong
- Center of Endocrinology, National Center of Cardiology & Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yali An
- Center of Endocrinology, National Center of Cardiology & Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Fei Chen
- Department of Endocrinology, China-Japan Friendship Hospital, Beijing, China
| | - Yanyan Chen
- Center of Endocrinology, National Center of Cardiology & Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - XiaoPing Chen
- Department of Endocrinology, China-Japan Friendship Hospital, Beijing, China
| | - Siyao He
- Center of Endocrinology, National Center of Cardiology & Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xin Qian
- Center of Endocrinology, National Center of Cardiology & Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Bo Chen
- Division of Non-Communicable Disease Control and Community Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Fen Dong
- Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing, China
| | - Hui Li
- Department of Cardiology, Da Qing First Hospital, Da Qing, China
| | - Fang Zhao
- Department of Endocrinology, China-Japan Friendship Hospital, Beijing, China
| | - Bo Zhang
- Department of Endocrinology, China-Japan Friendship Hospital, Beijing, China
| | - Guangwei Li
- Department of Endocrinology, China-Japan Friendship Hospital, Beijing, China
- Center of Endocrinology, National Center of Cardiology & Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Haseldine C, O'Donoghue G, Kearney PM, Riordan F, Cotterill S, McHugh S. Healthcare workers' perspectives on barriers and facilitators to referral and recruitment to diabetes prevention programmes: a systematic review protocol. HRB Open Res 2024; 6:23. [PMID: 38601792 PMCID: PMC11004599 DOI: 10.12688/hrbopenres.13702.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/26/2024] [Indexed: 04/12/2024] Open
Abstract
Background Diabetes is a growing global health problem. International guidelines recommend identification, screening, and referral to behavioural programmes for those at high risk of developing type 2 diabetes. Diabetes prevention programmes (DPPs) can prevent type 2 diabetes in those at high risk, however many eligible participants are not referred to these programmes. Healthcare workers (HCWs) are pivotal to the referral and recruitment processes. This study aims to identify, appraise and synthesise the evidence on barriers and facilitators to referral and recruitment to DPPs from the perspective of HCWs. Methods A "best fit" framework synthesis method will synthesise qualitative, quantitative, and mixed methods evidence on factors that affect HCWs referral and recruitment to DPPs, with the Theoretical Domains Framework (TDF) as the a priori framework. MEDLINE, EMBASE, CINAHL, PsychINFO, Web of Science and Scopus will be searched for primary studies published in English. Year of publication will be restricted to the last 26 years (1997-2023). Quality will be assessed using the Mixed Methods Appraisal Tool. A mix of deductive coding using the TDF and inductive coding of data that does not fit the TDF will be synthesised into themes representing the whole dataset. The relationships between the final set of themes will be explored to create a new model to understand HCWs' perspectives on referral and recruitment to DPPs. Sensitivity analysis will be carried out on this conceptual model. Confidence in the synthesised findings will be assessed using the GRADE-CERQual approach. One author will screen, extract, appraise the literature while a second author will independently verify a 20% sample at each stage. Discussion Participation in DPPs is key for programme impact. HCWs typically identify those at risk and refer them to DPPs. Understanding HCWs' perspectives on the barriers and facilitators to referral and recruitment will inform future implementation of DPPs.
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Affiliation(s)
- Clair Haseldine
- School of Public Health, University College Cork, Cork, Ireland
| | - Gráinne O'Donoghue
- School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - Patricia M Kearney
- School of Public Health, University College Cork, Cork, Ireland
- Health Service Executive, Cork, Ireland
| | - Fiona Riordan
- School of Public Health, University College Cork, Cork, Ireland
| | - Sarah Cotterill
- School of Health Sciences, University of Manchester, Manchester, UK
| | - Sheena McHugh
- School of Public Health, University College Cork, Cork, Ireland
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Iriarte-Campo V, de Burgos-Lunar C, Mostaza J, Lahoz C, Cárdenas-Valladolid J, Gómez-Campelo P, Taulero-Escalera B, San-Andrés-Rebollo FJ, Rodriguez-Artalejo F, Salinero-Fort MA. Incidence of T2DM and the role of baseline glycaemic status as a determinant in a metropolitan population in northern Madrid (Spain). Diabetes Res Clin Pract 2024; 209:111119. [PMID: 38307139 DOI: 10.1016/j.diabres.2024.111119] [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: 09/19/2023] [Revised: 01/16/2024] [Accepted: 01/25/2024] [Indexed: 02/04/2024]
Abstract
AIM To estimate the incidence of T2DM and assess the effect of pre-T2DM (isolated impaired fasting glucose [iIFG], isolated impaired glucose tolerance [iIGT] or both) on progress to T2DM in the adult population of Madrid. METHODS Population-based cohort comprising 1,219 participants (560 normoglycaemic and 659 preT2DM [418 iIFG, 70 iIGT or 171 IFG-IGT]). T2DM was defined based on fasting plasma glucose or HbA1c or use of glucose-lowering medication. We used a Cox model with normoglycaemia as reference category. RESULTS During 7.26 years of follow-up, the unadjusted incidence of T2DM was 11.21 per 1000 person-years (95 %CI, 9.09-13.68) for the whole population, 5.60 (3.55-8.41) for normoglycaemic participants and 16.28 (12.78-20.43) for pre-T2DM participants. After controlling for potential confounding factors, the baseline glycaemic status was associated with higher primary effect on developing T2DM was iIGT (HR = 3.96 [95 %CI, 1.93-8.10]) and IFG-IGT (3.42 [1.92-6.08]). The HR for iIFG was 1.67 (0.96-2.90). Obesity, as secondary effect, was strongly significantly associated (HR = 2.50 [1.30-4.86]). CONCLUSIONS Our incidence of T2DM is consistent with that reported elsewhere in Spain. While baseline iIGT and IFG-IGT behaved a primary effect for progression to T2DM, iIFG showed a trend in this direction.
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Affiliation(s)
- V Iriarte-Campo
- Foundation for Biosanitary Research and Innovation in Primary Care (FIIBAP), Madrid, Spain; Frailty, Multimorbidity Patterns and Mortality in the Elderly Population Residing in the Community - Hospital La Paz Institute for Health Research IdiPAZ, Madrid, Spain
| | - C de Burgos-Lunar
- Department of Preventive Medicine, San Carlos Clinical University Hospital, Madrid, Spain; Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), Madrid, Spain
| | - J Mostaza
- Lipid and Vascular Risk Unit, Department of Internal Medicine, Hospital Carlos III, Madrid, Spain
| | - C Lahoz
- Lipid and Vascular Risk Unit, Department of Internal Medicine, Hospital Carlos III, Madrid, Spain
| | - J Cárdenas-Valladolid
- Frailty, Multimorbidity Patterns and Mortality in the Elderly Population Residing in the Community - Hospital La Paz Institute for Health Research IdiPAZ, Madrid, Spain; Alfonso X El Sabio University, Madrid, Spain
| | - P Gómez-Campelo
- Frailty, Multimorbidity Patterns and Mortality in the Elderly Population Residing in the Community - Hospital La Paz Institute for Health Research IdiPAZ, Madrid, Spain; La Paz University Hospital Biomedical Research Foundation, Madrid, Spain
| | - B Taulero-Escalera
- Foundation for Biosanitary Research and Innovation in Primary Care (FIIBAP), Madrid, Spain; Frailty, Multimorbidity Patterns and Mortality in the Elderly Population Residing in the Community - Hospital La Paz Institute for Health Research IdiPAZ, Madrid, Spain
| | - F J San-Andrés-Rebollo
- Frailty, Multimorbidity Patterns and Mortality in the Elderly Population Residing in the Community - Hospital La Paz Institute for Health Research IdiPAZ, Madrid, Spain; Centro de Salud Las Calesas, Madrid, Spain
| | - F Rodriguez-Artalejo
- Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Madrid, Spain; CIBERESP, Madrid, Spain; IMDEA-Food, CEI UAM+CSIC Madrid, Spain
| | - M A Salinero-Fort
- Foundation for Biosanitary Research and Innovation in Primary Care (FIIBAP), Madrid, Spain; Frailty, Multimorbidity Patterns and Mortality in the Elderly Population Residing in the Community - Hospital La Paz Institute for Health Research IdiPAZ, Madrid, Spain; Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), Madrid, Spain.
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Sulu C, Yumuk VD. Treat Obesity to Treat Type 2 Diabetes Mellitus. Diabetes Ther 2024; 15:611-622. [PMID: 38310627 PMCID: PMC10942960 DOI: 10.1007/s13300-024-01536-3] [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: 12/05/2023] [Accepted: 01/15/2024] [Indexed: 02/06/2024] Open
Abstract
Obesity, a multifactorial, relapsing chronic disease, serves as a gateway to a spectrum of metabolic, cardiovascular, mechanical and mental health problems. Over the last few decades, the global prevalence of obesity has surged nearly threefold, mirroring the escalating rates of type 2 diabetes mellitus (T2DM). This parallel trajectory strongly suggests a cause-and-effect relationship between obesity and T2DM. Extensive research indicates that even modest weight gain elevates the risk of T2DM, favoring the notion of obesity being a root cause. This perspective finds robust support in numerous studies demonstrating the preventive effects of obesity management on the onset of T2DM. Beyond prevention, obesity management has been shown to enhance remission in individuals with T2DM and to decrease microvascular complications, cardiovascular risk factors, renal failure and heart failure. This evidence underpins the urgent need for global initiatives aimed at addressing obesity management as a key strategy in the prevention and management of T2DM and its complications.
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Affiliation(s)
- Cem Sulu
- Division of Endocrinology, Metabolism and Diabetes, Department of Internal Medicine, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Kocamustafapasa Street, No. 53, 34098, Fatih, Istanbul, Turkey
- European Association for the Study of Obesity-Collaborating Center for Obesity Management, Istanbul, Turkey
| | - Volkan Demirhan Yumuk
- Division of Endocrinology, Metabolism and Diabetes, Department of Internal Medicine, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Kocamustafapasa Street, No. 53, 34098, Fatih, Istanbul, Turkey.
- European Association for the Study of Obesity-Collaborating Center for Obesity Management, Istanbul, Turkey.
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Billingsley HE, Heiston EM, Bellissimo MP, Lavie CJ, Carbone S. Nutritional Aspects to Cardiovascular Diseases and Type 2 Diabetes Mellitus. Curr Cardiol Rep 2024; 26:73-81. [PMID: 38261251 PMCID: PMC10990987 DOI: 10.1007/s11886-023-02018-x] [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] [Accepted: 12/27/2023] [Indexed: 01/24/2024]
Abstract
PURPOSE OF REVIEW In this narrative review, we discuss the current evidence related to the role of dietary interventions to prevent and treat type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD). We also propose alternative therapeutic strategies other than weight loss in this population, namely, improvements in cardiorespiratory fitness and its determinants. RECENT FINDINGS While weight loss has been consistently associated with the prevention of T2DM and improvements in glycemic control in those with established diseases, its role in preventing and treating CVD is less clear. In fact, in this setting, improvements in diet quality have provided greater benefits, suggesting that this might represent an alternative, or an even more effective strategy than energy-restriction. Improvements in diet quality, with and without caloric restriction have been shown to improve CVD risk and to prevent the development of T2DM in individuals at risk; however, with regard to glycemic control in patients with T2DM, any dietary intervention resulting in significant weight loss may produce clinically meaningful benefits. Finally, dietary interventions with and without energy restriction that can improve cardiorespiratory fitness, even in absence of weight loss in patients with obesity, should be encouraged.
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Affiliation(s)
- Hayley E Billingsley
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Emily M Heiston
- Division of Cardiology, Department of Internal Medicine, Pauley Heart Center, Virginia Commonwealth University, Richmond, VA, USA
| | - Moriah P Bellissimo
- Division of Cardiology, Department of Internal Medicine, Pauley Heart Center, Virginia Commonwealth University, Richmond, VA, USA
| | - Carl J Lavie
- Department of Cardiovascular Diseases, Ochsner Clinical School, John Ochsner Heart and Vascular Institute, The University of Queensland School of Medicine, New Orleans, LA, USA
| | - Salvatore Carbone
- Division of Cardiology, Department of Internal Medicine, Pauley Heart Center, Virginia Commonwealth University, Richmond, VA, USA.
- Department of Kinesiology & Health Sciences, College of Humanities & Sciences, Virginia Commonwealth University, Richmond, VA, USA.
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An X, Zhang Y, Sun W, Kang X, Ji H, Sun Y, Jiang L, Zhao X, Gao Q, Lian F, Tong X. Early effective intervention can significantly reduce all-cause mortality in prediabetic patients: a systematic review and meta-analysis based on high-quality clinical studies. Front Endocrinol (Lausanne) 2024; 15:1294819. [PMID: 38495794 PMCID: PMC10941028 DOI: 10.3389/fendo.2024.1294819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 02/19/2024] [Indexed: 03/19/2024] Open
Abstract
Background Reducing the occurrence of diabetes is considered a primary criterion for evaluating the effectiveness of interventions for prediabetes. There is existing evidence that early lifestyle-based interventions can significantly decrease the incidence of diabetes. However, whether effective interventions can reduce long-term outcomes in patients, including all-cause mortality, cardiovascular risks, and the occurrence of microvascular complications, which are the most concerning issues for both patients and clinicians, remains a subject of inconsistent research findings. And there is no direct evidence to answer whether effective intervention has long-term benefits for prediabetic patients. Therefore, we conducted a systematic review and meta-analysis to assess the relationship between early effective intervention and macrovascular and microvascular complications in prediabetic patients. Methods PubMed, Embase, and Cochrane Central Register of Controlled Trials were searched for the randomized controlled trials of lifestyle or/and drugs intervention in prediabetes from inception to 2023.9.15. Two investigators independently reviewed the included studies and extracted relevant data. Random or fixed effects model meta-analysis to derive overall relative risk (RR) with 95% CI for all-cause mortality, cardiovascular events, and microvascular complications. Results As of September 15, 2023, a total of 7 effective intervention studies were included, comprising 26 articles out of 25,671 articles. These studies involved 26,389 patients with a total follow-up duration of 178,038.6 person-years. The results indicate that effective intervention can significantly reduce all-cause mortality in prediabetic patients without a history of cardiovascular disease by 17% (RR 0.83, 95% CI 0.70-0.98). Additionally, effective intervention reduced the incidence of retinopathy by 38% (RR 0.62, 95% CI 0.70-0.98). Furthermore, the study results suggest that women and younger individuals have lower all-cause mortality and cardiovascular mortality. Subsequently, we conducted an in-depth analysis of patients without a history of cardiovascular disease. The results revealed that prediabetic patients with a 10-year cardiovascular risk >10% experienced more significant benefits in terms of all-cause mortality (P=0.01). When comparing the results of all-cause mortality and cardiovascular mortality from the Da Qing Diabetes Prevention Outcome Study longitudinally, it was evident that the duration of follow-up is a key factor influencing long-term benefits. In other words, the beneficial effects become more pronounced as the intervention duration reaches a certain threshold. Conclusion Early effective intervention, which significantly reduces the incidence of diabetes, can effectively lower all-cause mortality in prediabetic patients without a history of cardiovascular disease (especially those with a 10-year cardiovascular risk >10%), with women and younger individuals benefiting more significantly. Additionally, the duration of follow-up is a key factor influencing outcomes. The conclusions of this study can provide evidence-based guidance for the clinical treatment of prediabetic patients to prevent cardiovascular and microvascular complications. Systematic review registration https://www.crd.york.ac.uk/prospero, identifier CRD42020160985.
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Affiliation(s)
- Xuedong An
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yuehong Zhang
- Fangshan Hospital of Beijing University of Chinese Medicine, Beijing, China
| | - Wenjie Sun
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Xiaomin Kang
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Hangyu Ji
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yuting Sun
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Linlin Jiang
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Xuefei Zhao
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Qing Gao
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Fengmei Lian
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Xiaolin Tong
- Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
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Wang H, He S, Wang J, An Y, Wang X, Li G, Sun N, Gong Q. Does high-normal blood pressure lead to excess cardiovascular disease events and deaths in Chinese people? A post-hoc analysis of the 30-year follow-up of the Da Qing IGT and Diabetes Study. Diabetes Obes Metab 2024; 26:871-877. [PMID: 38012837 DOI: 10.1111/dom.15379] [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: 07/17/2023] [Revised: 10/24/2023] [Accepted: 11/04/2023] [Indexed: 11/29/2023]
Abstract
AIM Whether systolic/diastolic blood pressure (SBP/DBP) values of 130-139/80-89 mmHg should be defined as hypertension has been debated for decades. We aimed to characterize the effect of high-normal BP on cardiovascular disease (CVD) events and deaths. METHODS In total, 1726 individuals from the original Da Qing IGT and Diabetes Study were enrolled, and divided into the normal BP group (SBP <130 mmHg and DBP <80 mmHg), high-normal BP group (SBP 130-139 mmHg and/or DBP 80-89 mmHg) and hypertension group (SBP ≥140 mmHg and/or DBP ≥90 mmHg). CVD events and their components were assessed from 1986 to 2016. RESULTS During the 30-year follow-up, the high-normal BP group was not at higher risk for CVD events [hazard ratio (HR) 1.05, 95% confidence interval (CI) 0.84-1.30, p = .68], coronary heart disease (HR 1.12, 95% CI 0.77-1.63, p = .57), stroke (HR 1.05, 95% CI 0.82-1.34, p = .71), or CVD deaths (HR 1.15, 95% CI 0.82-1.60, p = .41) compared with the normal BP group, after adjusting for covariates. However, the hypertension group exhibited significantly increased cardiovascular risk (CVD events, HR 1.91, 95% CI 1.48-2.46, p < .0001; coronary heart disease, HR 1.73, 95% CI 1.12-2.67, p = .01; stroke, HR 1.90, 95% CI 1.43-2.52, p < .0001; CVD deaths, HR 2.07, 95% CI 1.43-3.01, p = .0001) than the normal BP group. Subgroup analyses showed that, regardless of the presence of diabetes, high-normal BP did not increase CVD events compared with normal BP. CONCLUSIONS This post-hoc study provided no evidence that the high-normal BP increased cardiovascular risk in the Da Qing study population, suggesting that it was reasonable to continue to define hypertension at 140/90 mmHg in China.
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Affiliation(s)
- Haixu Wang
- Center of Endocrinology, National Center of Cardiology & Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Siyao He
- Center of Endocrinology, National Center of Cardiology & Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jinping Wang
- Department of Cardiology, Da Qing First Hospital, Daqing, China
| | - Yali An
- Center of Endocrinology, National Center of Cardiology & Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xuan Wang
- Center of Endocrinology, National Center of Cardiology & Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Guangwei Li
- Center of Endocrinology, National Center of Cardiology & Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- China-Japan Friendship Hospital, Beijing, China
| | - Ningling Sun
- Department of Cardiology, Peking University People's Hospital, Beijing, China
| | - Qiuhong Gong
- Center of Endocrinology, National Center of Cardiology & Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Hossain MJ, Al‐Mamun M, Islam MR. Diabetes mellitus, the fastest growing global public health concern: Early detection should be focused. Health Sci Rep 2024; 7:e2004. [PMID: 38524769 PMCID: PMC10958528 DOI: 10.1002/hsr2.2004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 03/10/2024] [Accepted: 03/13/2024] [Indexed: 03/26/2024] Open
Abstract
Background and Aims Diabetes is recognized as a significant factor in both mortality and morbidity worldwide, affecting various demographics regardless of geographic location, age group, or gender. This correspondence aims to express concern and draw the attention of leaders and policymakers worldwide to this critical public health issue. Methods A thorough literature search was conducted utilizing various databases, including Google Scholar, PubMed, Science Direct, and the International Diabetes Federation (IDF) website, to collect the required data. Keywords were strategically applied to enhance search results, with preference given to English-language articles containing pertinent information. Results According to the 2021 report by the IDF, approximately 537 million individuals globally were affected with diabetes, constituting roughly 10.5% of the world's populace. This condition incurred healthcare expenditures totaling $966 billion. Projections indicate a surge in diabetes cases to 783 million by 2045, with associated healthcare costs estimated to surpass $1054 billion. However, almost half of all people with diabetes are unaware of their medical condition, with the highest prevalence of undiagnosed diabetes Mellitus (DM) found in low and middle-income countries (LMICs) of the regions of Africa, the Western Pacific, and Southeast Asia. Conclusion Collaborating with the World Health Organization (WHO), LMIC governments should improve healthcare accessibility, including more frequent diabetes screenings for individuals aged ≥ 45 years and younger individuals at elevated risk of having a family history.
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Affiliation(s)
- Md. Jamal Hossain
- Department of Pharmacy, School of Pharmaceutical SciencesState University of BangladeshDhakaBangladesh
| | - Md. Al‐Mamun
- Department of SociologyBangabandhu Sheikh Mujibur Rahman Science and Technology UniversityGopalganjBangladesh
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French ML, Christensen JT, Estabrooks PA, Hernandez AM, Metos JM, Marcus RL, Thorpe A, Dvorak TE, Jordan KC. Evaluation of the Effectiveness of a Bilingual Nutrition Education Program in Partnership with a Mobile Health Unit. Nutrients 2024; 16:618. [PMID: 38474746 DOI: 10.3390/nu16050618] [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: 12/29/2023] [Revised: 02/20/2024] [Accepted: 02/22/2024] [Indexed: 03/14/2024] Open
Abstract
There are limited reports of community-based nutrition education with culinary instruction that measure biomarkers, particularly in low-income and underrepresented minority populations. Teaching kitchens have been proposed as a strategy to address social determinants of health, combining nutrition education, culinary demonstration, and skill building. The purpose of this paper is to report on the development, implementation, and evaluation of Journey to Health, a program designed for community implementation using the RE-AIM planning and evaluation framework. Reach and effectiveness were the primary outcomes. Regarding reach, 507 individuals registered for the program, 310 participants attended at least one nutrition class, 110 participants completed at least two biometric screens, and 96 participants attended at least two health coaching appointments. Participants who engaged in Journey to Health realized significant improvements in body mass index, blood pressure, and triglycerides. For higher risk participants, we additionally saw significant improvements in total and LDL cholesterol. Regarding dietary intake, we observed a significant increase in cups of fruit and a decrease in sugar sweetened beverages consumed per day. Our findings suggest that Journey to Health may improve selected biometrics and health behaviors in low-income and underrepresented minority participants.
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Affiliation(s)
- Madeleine L French
- Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT 84112, USA
| | - Joshua T Christensen
- Department of Population Health Sciences, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT 84112, USA
- Department of Health and Kinesiology, University of Utah, Salt Lake City, UT 84112, USA
| | - Paul A Estabrooks
- Department of Health and Kinesiology, University of Utah, Salt Lake City, UT 84112, USA
| | - Alexandra M Hernandez
- Osher Center for Integrative Health, University of Utah Health, Salt Lake City, UT 84112, USA
| | - Julie M Metos
- Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT 84112, USA
| | - Robin L Marcus
- Department of Physical Therapy and Athletic Training, University of Utah, Salt Lake City, UT 84108, USA
| | - Alistair Thorpe
- Department of Population Health Sciences, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, UT 84112, USA
| | - Theresa E Dvorak
- Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT 84112, USA
| | - Kristine C Jordan
- Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT 84112, USA
- Osher Center for Integrative Health, University of Utah Health, Salt Lake City, UT 84112, USA
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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.
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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
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He J, Fan B, Lau ESH, Chu N, Ng NYH, Leung KHT, Poon EWM, Kong APS, Ma RCW, Luk AOY, Chan JCN, Chow E. Enhanced prediction of abnormal glucose tolerance using an extended non-invasive risk score incorporating routine renal biochemistry. BMJ Open Diabetes Res Care 2024; 12:e003768. [PMID: 38373805 PMCID: PMC10882282 DOI: 10.1136/bmjdrc-2023-003768] [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: 09/13/2023] [Accepted: 01/20/2024] [Indexed: 02/21/2024] Open
Abstract
INTRODUCTION Type 2 diabetes is preventable in subjects with impaired glucose tolerance based on 2-hour plasma glucose (2hPG) during 75 g oral glucose tolerance test (OGTT). We incorporated routine biochemistry to improve the performance of a non-invasive diabetes risk score to identify individuals with abnormal glucose tolerance (AGT) defined by 2hPG≥7.8 mmol/L during OGTT. RESEARCH DESIGN AND METHODS We used baseline data of 1938 individuals from the community-based "Better Health for Better Hong Kong - Hong Kong Family Diabetes Study (BHBHK-HKFDS) Cohort" recruited in 1998-2003. We incorporated routine biochemistry in a validated non-invasive diabetes risk score, and evaluated its performance using area under receiver operating characteristics (AUROC) with internal and external validation. RESULTS The AUROC of the original non-invasive risk score to predict AGT was 0.698 (95% CI, 0.662 to 0.733). Following additional inclusion of fasting plasma glucose, serum potassium, creatinine, and urea, the AUROC increased to 0.778 (95% CI, 0.744 to 0.809, p<0.001). Net reclassification improved by 31.9% (p<0.001) overall, by 30.8% among people with AGT and 1.1% among people without AGT. The extended model showed good calibration (χ2=11.315, p=0.1845) and performance on external validation using an independent data set (AUROC=0.722, 95% CI, 0.680 to 0.764). CONCLUSIONS The extended risk score incorporating clinical and routine biochemistry can be integrated into an electronic health records system to select high-risk subjects for evaluation of AGT using OGTT for prevention of diabetes.
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Affiliation(s)
- Jie He
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Baoqi Fan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong Faculty of Medicine, Hong Kong Special Administrative Region, China
| | - Eric S H Lau
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Natural Chu
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Noel Yat Hey Ng
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Kathy Ho Ting Leung
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Emily W M Poon
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Alice Pik Shan Kong
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong Faculty of Medicine, Hong Kong Special Administrative Region, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong Faculty of Medicine, Hong Kong Special Administrative Region, China
| | - Ronald Ching Wan Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong Faculty of Medicine, Hong Kong Special Administrative Region, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong Faculty of Medicine, Hong Kong Special Administrative Region, China
| | - Andrea O Y Luk
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong Faculty of Medicine, Hong Kong Special Administrative Region, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong Faculty of Medicine, Hong Kong Special Administrative Region, China
- Phase 1 Clinical Trial Centre, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Juliana C N Chan
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong Faculty of Medicine, Hong Kong Special Administrative Region, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong Faculty of Medicine, Hong Kong Special Administrative Region, China
| | - Elaine Chow
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong Faculty of Medicine, Hong Kong Special Administrative Region, China
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong Faculty of Medicine, Hong Kong Special Administrative Region, China
- Phase 1 Clinical Trial Centre, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
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Yao W, Han Y, Yang L, Chen Y, Yan S, Cheng Y. Electronic Interactive Games for Glycemic Control in Individuals With Diabetes: Systematic Review and Meta-Analysis. JMIR Serious Games 2024; 12:e43574. [PMID: 38345856 PMCID: PMC10897792 DOI: 10.2196/43574] [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: 10/16/2022] [Revised: 05/05/2023] [Accepted: 10/24/2023] [Indexed: 03/01/2024] Open
Abstract
BACKGROUND Several electronic interventions have been used to improve glycemic control in patients with diabetes. Electronic interactive games specific to physical activity are available, but it is unclear if these are effective at improving glycemic control in patients with diabetes. OBJECTIVE This study aimed to determine the effects of electronic game-based interventions on glycemic control in patients with diabetes. METHODS Relevant studies that were published before April 1, 2023, were searched from 5 databases: PubMed, Embase, Web of Science, Scopus, and Cochrane Library. Eligibility criteria included prospective studies examining the relationship between electronic games with physical activities or diet education and glycemic control as the outcome. The risk of bias was assessed using the Cochrane risk-of-bias tool. All analyses were conducted using RevMan5.4.1. Depending on the heterogeneity across studies, the pooled effects were calculated using fixed-effects or random-effects models. RESULTS Participants from 9 studies were included and assessed. Glycated hemoglobin (HbA1c) and fasting blood glucose improved in the intervention group, although the analysis revealed no significant reduction in HbA1c (-0.09%, 95% CI -0.29% to 0.10%) or fasting blood glucose (-0.94 mg/dL, 95% CI -9.34 to 7.46 mg/dL). However, the physical activity of individuals in the intervention group was significantly higher than that of those in the control group (standardized mean difference=0.84, 95% CI 0.30 to 1.38; P=.002). Other outcomes, such as weight and blood lipids, exhibited no significant improvement (all P>.05). CONCLUSIONS Electronic games had a good impact on participants' physical activity and offered an advantage in glycemic control without reaching statistical significance. Electronic games are convenient for reminders and education. Low-intensity exercise games may not be considered a better adjuvant intervention to improve diabetes self-management care.
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Affiliation(s)
- WenQi Yao
- Department of Endocrinology, Zhujiang Hospital of Southern Medical University, Guangzhou, China
| | - YiBing Han
- Department of Endocrinology, Zhujiang Hospital of Southern Medical University, Guangzhou, China
| | - Li Yang
- Department of Endocrinology, Zhujiang Hospital of Southern Medical University, Guangzhou, China
- Department of Nutrition, Zhujiang Hospital of Southern Medical University, Guangzhou, China
| | - Ying Chen
- Department of Endocrinology, Zhujiang Hospital of Southern Medical University, Guangzhou, China
| | - ShengZhe Yan
- Department of Endocrinology, Zhujiang Hospital of Southern Medical University, Guangzhou, China
| | - YanZhen Cheng
- Department of Endocrinology, Zhujiang Hospital of Southern Medical University, Guangzhou, China
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Holm TF, Udsen FW, Færch K, Jensen MH, von Scholten BJ, Hejlesen OK, Hangaard S. The Effectiveness of Digital Health Lifestyle Interventions on People With Prediabetes: Protocol for a Systematic Review, Meta-Analysis, and Meta-Regression. JMIR Res Protoc 2024; 13:e50340. [PMID: 38335018 PMCID: PMC10891485 DOI: 10.2196/50340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 12/15/2023] [Accepted: 12/17/2023] [Indexed: 02/10/2024] Open
Abstract
BACKGROUND There has been an increasing interest in the use of digital health lifestyle interventions for people with prediabetes, as these interventions may offer a scalable approach to preventing type 2 diabetes. Previous systematic reviews on digital health lifestyle interventions for people with prediabetes had limitations, such as a narrow focus on certain types of interventions, a lack of statistical pooling, and no broader subgroup analysis of intervention characteristics. The identified limitations observed in previous systematic reviews substantiate the necessity of conducting a comprehensive review to address these gaps within the field. This will enable a comprehensive understanding of the effectiveness of digital health lifestyle interventions for people with prediabetes. OBJECTIVE The objective of this systematic review, meta-analysis, and meta-regression is to systematically investigate the effectiveness of digital health lifestyle interventions on prediabetes-related outcomes in comparison with any comparator without a digital component among adults with prediabetes. METHODS This systematic review will include randomized controlled trials that investigate the effectiveness of digital health lifestyle interventions on adults (aged 18 years or older) with prediabetes and compare the digital interventions with nondigital interventions. The primary outcome will be change in body weight (kg). Secondary outcomes include, among others, change in glycemic status, markers of cardiometabolic health, feasibility outcomes, and incidence of type 2 diabetes. Embase, PubMed, CINAHL, and CENTRAL (Cochrane Central Register of Controlled Trials) will be systematically searched. The data items to be extracted include study characteristics, participant characteristics, intervention characteristics, and relevant outcomes. To estimate the overall effect size, a meta-analysis will be conducted using the mean difference. Additionally, if feasible, meta-regression on study, intervention, and participant characteristics will be performed. The Cochrane risk of bias tool will be applied to assess study quality, and the GRADE (Grading of Recommendations Assessment, Development and Evaluation) approach will be used to assess the certainty of evidence. RESULTS The results are projected to yield an overall estimate of the effectiveness of digital health lifestyle interventions on adults with prediabetes and elucidate the characteristics that contribute to their effectiveness. CONCLUSIONS The insights gained from this study may help clarify the potential of digital health lifestyle interventions for people with prediabetes and guide the decision-making regarding future intervention components. TRIAL REGISTRATION PROSPERO CRD42023426919; http://tinyurl.com/d3enrw9j. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) PRR1-10.2196/50340.
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Affiliation(s)
- Tanja Fredensborg Holm
- Department of Health Science and Technology, Aalborg University, Gistrup, Denmark
- Steno Diabetes Center North Jutland, Aalborg University Hospital, Aalborg, Denmark
| | - Flemming Witt Udsen
- Department of Health Science and Technology, Aalborg University, Gistrup, Denmark
| | - Kristine Færch
- Data Science, Novo Nordisk A/S, Søborg, Denmark
- Clinical Research, Copenhagen University Hospital - Steno Diabetes Center Copenhagen, Herlev, Denmark
| | - Morten Hasselstrøm Jensen
- Department of Health Science and Technology, Aalborg University, Gistrup, Denmark
- Data Science, Novo Nordisk A/S, Søborg, Denmark
| | | | | | - Stine Hangaard
- Department of Health Science and Technology, Aalborg University, Gistrup, Denmark
- Steno Diabetes Center North Jutland, Aalborg University Hospital, Aalborg, Denmark
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Lizarzaburu-Robles JC, Herman WH, Garro-Mendiola A, Galdón Sanz-Pastor A, Lorenzo O. Prediabetes and Cardiometabolic Risk: The Need for Improved Diagnostic Strategies and Treatment to Prevent Diabetes and Cardiovascular Disease. Biomedicines 2024; 12:363. [PMID: 38397965 PMCID: PMC10887025 DOI: 10.3390/biomedicines12020363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 01/15/2024] [Accepted: 01/18/2024] [Indexed: 02/25/2024] Open
Abstract
The progression from prediabetes to type-2 diabetes depends on multiple pathophysiological, clinical, and epidemiological factors that generally overlap. Both insulin resistance and decreased insulin secretion are considered to be the main causes. The diagnosis and approach to the prediabetic patient are heterogeneous. There is no agreement on the diagnostic criteria to identify prediabetic subjects or the approach to those with insufficient responses to treatment, with respect to regression to normal glycemic values or the prevention of complications. The stratification of prediabetic patients, considering the indicators of impaired fasting glucose, impaired glucose tolerance, or HbA1c, can help to identify the sub-phenotypes of subjects at risk for T2DM. However, considering other associated risk factors, such as impaired lipid profiles, or risk scores, such as the Finnish Diabetes Risk Score, may improve classification. Nevertheless, we still do not have enough information regarding cardiovascular risk reduction. The sub-phenotyping of subjects with prediabetes may provide an opportunity to improve the screening and management of cardiometabolic risk in subjects with prediabetes.
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Affiliation(s)
- Juan Carlos Lizarzaburu-Robles
- Endocrinology Unit, Hospital Central de la Fuerza Aérea del Perú, 15046 Lima, Peru;
- Doctorate Program, Universidad Autónoma de Madrid, 28049 Madrid, Spain
| | - William H. Herman
- Department of Internal Medicine and Epidemiology, University of Michigan, Ann Arbor, MI 48109, USA;
| | | | | | - Oscar Lorenzo
- Laboratory of Diabetes and Vascular Pathology, IIS-Fundación Jiménez Díaz, Universidad Autónoma, 28049 Madrid, Spain;
- Biomedical Research Network on Diabetes and Associated Metabolic Disorders (CIBERDEM), Carlos III National Health Institute, 28029 Madrid, Spain
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45
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Yamagata F, Ogata R, Koda Y, Yamamoto M, Suga A, Kanauchi N, Kohzuma T, Kawazu S. Characteristics of individuals who developed type 2 diabetes from prediabetes despite undergoing interventions, and evaluation of the performance of urinary myo-inositol as a risk factor for developing diabetes. J Diabetes Investig 2024; 15:177-185. [PMID: 37817552 PMCID: PMC10804923 DOI: 10.1111/jdi.14092] [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: 06/04/2023] [Revised: 09/12/2023] [Accepted: 09/20/2023] [Indexed: 10/12/2023] Open
Abstract
AIMS/INTRODUCTION The aim of this study was to clarify the characteristics of individuals with prediabetes who developed type 2 diabetes despite undergoing interventions, and to evaluate the performance of urinary myo-inositol (UMI) as a noninvasive indicator for the risk of developing diabetes. MATERIALS AND METHODS A total of 51 individuals with prediabetes who underwent a 75-g oral glucose tolerance test, ΔUMI (the difference in the UMI : creatinine ratio between before and 120 min after 75-g glucose loading), fasting plasma glucose, insulin, hemoglobin A1c, noninvasive testing (age, body mass index, blood pressure) and general blood tests were measured at baseline, and underwent dietary/exercise guidance for 8 years were studied. RESULTS A total of 31 participants developed diabetes in 8 years. At baseline, the group that developed diabetes was characterized by high ΔUMI, hemoglobin A1c, fasting plasma glucose and low high-density lipoprotein cholesterol, and insulinogenic index (I.I.). I.I and ΔUMI showed a higher correlation than fasting plasma glucose and hemoglobin A1c. Regarding diabetes onset within 8 years, Cox regression analysis of diabetes onset showed the baseline ΔUMI is an independent predictor, adjusted for the result of not only noninvasive markers, but also that of noninvasive and general blood markers. The log-rank test showed that all glycemic indicators were significantly associated with diabetes onset. CONCLUSION Participants who developed type 2 diabetes from prediabetes despite undergoing interventions were characterized by high glycemic control markers and low I.I. As noninvasive measurement of ΔUMI is associated with I.I. and diabetes onset, it could be a useful indicator for identifying individuals with a high risk of diabetes onset.
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Affiliation(s)
| | - Rei Ogata
- Genki Plaza Medical Center for Health CareTokyoJapan
| | - Yoko Koda
- Genki Plaza Medical Center for Health CareTokyoJapan
| | | | - Atsuko Suga
- Genki Plaza Medical Center for Health CareTokyoJapan
| | - Noriko Kanauchi
- Department of Physical Therapy, Faculty of Makuhari Human CareTohto UniversityChibaJapan
| | | | - Shoji Kawazu
- Genki Plaza Medical Center for Health CareTokyoJapan
- Clinic of the Institute of Medical Science Asahi Life FoundationTokyoJapan
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46
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Pi L, Shi X, Wang Z, Zhou Z. Integrating Point-of-Care Hemoglobin A1c Screening into China's Rural Community-based Health Check-up for the Older Population. J Am Med Dir Assoc 2024; 25:278-279.e1. [PMID: 37951581 DOI: 10.1016/j.jamda.2023.09.035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 09/21/2023] [Accepted: 09/22/2023] [Indexed: 11/14/2023]
Affiliation(s)
- Linhua Pi
- Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, Changsha, China; National Clinical Research Center for Metabolic Diseases, Changsha, China; Department of Metabolism and Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Xiajie Shi
- Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, Changsha, China; National Clinical Research Center for Metabolic Diseases, Changsha, China; Department of Metabolism and Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Zhen Wang
- Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, Changsha, China; National Clinical Research Center for Metabolic Diseases, Changsha, China; Department of Metabolism and Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, China.
| | - Zhiguang Zhou
- Key Laboratory of Diabetes Immunology (Central South University), Ministry of Education, Changsha, China; National Clinical Research Center for Metabolic Diseases, Changsha, China; Department of Metabolism and Endocrinology, The Second Xiangya Hospital, Central South University, Changsha, China
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Skurk T, Grünerbel A, Hummel S, Kabisch S, Keuthage W, Müssig K, Nussbaumer H, Rubin D, Simon MC, Tombek A, Weber KS. Nutritional Recommendations for the Prevention of Type 2 Diabetes Mellitus. Exp Clin Endocrinol Diabetes 2024; 132:68-82. [PMID: 38232741 DOI: 10.1055/a-2166-6943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Affiliation(s)
- Thomas Skurk
- ZIEL - Institute for Food & Health, Core Facility Human Studies, Technical University Munich, Freising, Germany
| | | | - Sandra Hummel
- Helmholtz Diabetes Centre Institute of Diabetes Research Munich, Research Centre for Health and Environment (GmbH), Munich-Neuherberg, Germany
| | - Stefan Kabisch
- German Institute of Human Nutrition Potsdam-Rehbrücke, Potsdam, Germany
| | - Winfried Keuthage
- Specialist Practice for Diabetes and Nutritional Medicine, Münster, Germany
| | - Karsten Müssig
- Department of Internal Medicine, Gastroenterology and Diabetology, Niels Stensen Hospitals, Franziskus Hospital Harderberg, Georgsmarienhütte, Germany
| | | | - Diana Rubin
- Vivantes Hospital Spandau, Berlin, Germany
- Vivantes Humboldt Hospital, Berlin, Germany
| | - Marie-Christine Simon
- Institute of Nutrition and Food Sciences, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
| | - Astrid Tombek
- Diabetes Centre Bad Mergentheim, Bad Mergentheim, Germany
| | - Katharina S Weber
- Institute for Epidemiology, Christian-Albrechts University of Kiel, Kiel, Germany
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Yang C, Li S, Wu L, Ding Z, Zhou H, Pan Y, Yang C, Lin J, Li Q, You Y, Zhong X, Chen Y, Zhao Y. Prevalence of prediabetes by the fasting plasma glucose and HbA1c screening criteria among the children and adolescents of Shenzhen, China. Front Endocrinol (Lausanne) 2024; 15:1301921. [PMID: 38313368 PMCID: PMC10836591 DOI: 10.3389/fendo.2024.1301921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 01/02/2024] [Indexed: 02/06/2024] Open
Abstract
Background Prediabetes is associated with an increased risk of cardiovascular diseases and all-cause mortality. Rare research in China has evaluated the prevalence of prediabetes among children and adolescents using the HbA1c criterion or the combined FPG-or-HbA1c diagnostic criterion, and researchers paid no attention to the distributions of blood glucose in Shenzhen, especially for juveniles. Methods We conducted a school-based cross-sectional study based on the first-year students from 17 primary, middle, and high schools. Prediabetes was defined as FPG of 5.6-6.9 mmol/L or HbA1c of 5.7%-6.4%. The crude and standardized prevalence of prediabetes with 95% confidence interval (95% CI) was estimated. Results A total of 7519 participants, aged 6 to 17 years, were included. For all subjects, the crude prevalence (95% CI) of prediabetes was 1.49% (1.21-1.77), 8.72% (8.08-9.36), and 9.80% (9.13-10.47) by the FPG-only, HbA1c-only, and FPG-or-HbA1c criteria, respectively. Based on the 2010 Shenzhen census population, the standardized prevalence was 1.56% (males 1.85%, females 1.19%), 11.05% (males 11.47%, females 10.53%), and 12.19% (males 13.01%, females 11.15%) by the corresponding criteria. The proportion of prediabetes was higher for males than females, and the prevalence decreased with grade for males but increased for females. The association of BMI and prediabetes was U-shaped curve, indicating higher rates of prediabetes for underweight and obesity people. Conclusion The blood glucose status of children and adolescents in Shenzhen is worrisome, and the early detection and management of prediabetes are imperative.
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Affiliation(s)
- Chen Yang
- Department of Endocrinology, Baoan Central Hospital of Shenzhen, The 5th Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, China
- Department of Endocrinology and Metabolism, Zhuhai People's Hospital (Zhuhai Clinical Medical College of Jinan University), Zhuhai, Guangdong, China
| | - Shaohua Li
- Wards of Cadres, Zhuhai People's Hospital (Zhuhai Clinical Medical College of Jinan University), Zhuhai, Guangdong, China
| | - Liangyan Wu
- Department of Endocrinology and Metabolism, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Zan Ding
- Department of Science and Education, Baoan Central Hospital of Shenzhen, Shenzhen, Guangdong, China
| | - Hua Zhou
- Department of Administrative, Baoan Central Hospital of Shenzhen, Shenzhen, Guangdong, China
| | - Ying Pan
- Department of Endocrinology, Baoan Central Hospital of Shenzhen, The 5th Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, China
| | - Chufu Yang
- Department of Huangtian Outpatient, Baoan Central Hospital of Shenzhen, Shenzhen, Guangdong, China
| | - Jinjun Lin
- Department of Endocrinology, Baoan Central Hospital of Shenzhen, The 5th Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, China
| | - Qiang Li
- Department of Endocrinology, Shenzhen University General Hospital, Shenzhen, Guangdong, China
| | - Yingbin You
- Department of Administrative, Baoan Central Hospital of Shenzhen, Shenzhen, Guangdong, China
| | - Xu Zhong
- Department of Endocrinology, Baoan Central Hospital of Shenzhen, The 5th Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, China
| | - Yuyuan Chen
- Department of Endocrinology, Baoan Central Hospital of Shenzhen, The 5th Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, China
| | - Yu Zhao
- Department of Endocrinology, Baoan Central Hospital of Shenzhen, The 5th Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, China
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Doumbia L, Findley S, Ba HO, Maiga B, Ba A, Béréthé RK, Sangaré HM, Kachur SP, Besançon S, Doumbia S. Formative research to adapt the 'Diabetes Prevention Program- Power to Prevent' for implementation in Bamako, Mali. BMC Health Serv Res 2024; 24:61. [PMID: 38212794 PMCID: PMC10785539 DOI: 10.1186/s12913-023-10515-6] [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] [Received: 12/19/2022] [Accepted: 12/21/2023] [Indexed: 01/13/2024] Open
Abstract
BACKGROUND There are few community-level behaviors change interventions for reducing diabetes and hypertension risk in Africa, despite increasing cases of type 2 diabetes and cardiovascular diseases. Thus, this study was designed to adapt the United States Centers for Disease Control and Prevention's "Diabetes Prevention Program Power to Prevent" (DPP-P2P) for use in low-income urban communities of Bamako, Mali. METHODS Feedback was elicited on an initial French PowerPoint adaptation of the DPP-P2P session guidelines from stakeholders at the ministry of health, organizational partners, and medical care providers. Two community health centers in districts with high levels of diabetes or hypertension were selected to assist in developing the Malian adaptation. Focus groups were conducted with 19 community health workers (CHWs) of these centers. Based on feedback from these discussions, more graphics, demonstrations, and role plays were added to the PowerPoint presentations. The 19 CHWs piloted the proposed 12 sessions with 45 persons with diabetes or at-risk patients over a one-month period. Feedback discussions were conducted after each session, and changes in dietary and exercise habits were assessed pre and post participation in the program. This feedback contributed to finalization of a 14-session sequence. RESULTS The DPP-P2P session guidelines were adapted for use by low-literacy CHWs, converting the written English guidelines into French PowerPoint presentations with extensive use of pictures, role plays and group discussions to introduce diabetes, diet, and exercise concepts appropriately for the Bamako context. CHWs recommendations for a strong family-oriented program led to expanded sessions on eliciting support from all adults in the household. The 45 participants in the pilot adaptation were enthusiastic about the program. At the end of the program, there were significant increases in the frequency of daily exercise, efforts to limit fat intake, and goals for more healthy diets and exercise levels. CONCLUSION This study documents how an iterative process of developing the DPP-P2P adaptation led to the development of a culturally appropriate set of materials welcomed by participants and having promise for reaching the low-income, low-literacy population with or at risk for diabetes in Bamako, Mali.
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Affiliation(s)
- Lancina Doumbia
- University Clinical Research Center, Université des Sciences, des Techniques et des Technologies de Bamako, Point-G, Bamako, Bamako, Po Box 5445, Mali.
| | - Sally Findley
- Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Hamidou Oumar Ba
- University Clinical Research Center, Université des Sciences, des Techniques et des Technologies de Bamako, Point-G, Bamako, Bamako, Po Box 5445, Mali
| | - Bonkana Maiga
- University Clinical Research Center, Université des Sciences, des Techniques et des Technologies de Bamako, Point-G, Bamako, Bamako, Po Box 5445, Mali
| | - Aissata Ba
- University Clinical Research Center, Université des Sciences, des Techniques et des Technologies de Bamako, Point-G, Bamako, Bamako, Po Box 5445, Mali
| | - Rokiatou Koné Béréthé
- University Clinical Research Center, Université des Sciences, des Techniques et des Technologies de Bamako, Point-G, Bamako, Bamako, Po Box 5445, Mali
| | - Hadja Madjè Sangaré
- University Clinical Research Center, Université des Sciences, des Techniques et des Technologies de Bamako, Point-G, Bamako, Bamako, Po Box 5445, Mali
| | - S Patrick Kachur
- Mailman School of Public Health, Columbia University, New York, NY, USA
| | | | - Seydou Doumbia
- University Clinical Research Center, Université des Sciences, des Techniques et des Technologies de Bamako, Point-G, Bamako, Bamako, Po Box 5445, Mali
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50
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Gulanski BI, Goulet JL, Radhakrishnan K, Ko J, Li Y, Rajeevan N, Lee KM, Heberer K, Lynch JA, Streja E, Mutalik P, Cheung KH, Concato J, Shih MC, Lee JS, Aslan M. Metformin prescription for U.S. veterans with prediabetes, 2010-2019. J Investig Med 2024; 72:139-150. [PMID: 37668313 DOI: 10.1177/10815589231201141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/06/2023]
Abstract
Affecting an estimated 88 million Americans, prediabetes increases the risk for developing type 2 diabetes mellitus (T2DM), and independently, cardiovascular disease, retinopathy, nephropathy, and neuropathy. Nevertheless, little is known about the use of metformin for diabetes prevention among patients in the Veterans Health Administration, the largest integrated healthcare system in the U.S. This is a retrospective observational cohort study of the proportion of Veterans with incident prediabetes who were prescribed metformin at the Veterans Health Administration from October 2010 to September 2019. Among 1,059,605 Veterans with incident prediabetes, 12,009 (1.1%) were prescribed metformin during an average 3.4 years of observation after diagnosis. Metformin prescribing was marginally higher (1.6%) among those with body mass index (BMI) ≥35 kg/m2, age <60 years, HbA1c≥6.0%, or those with a history of gestational diabetes, all subgroups at a higher risk for progression to T2DM. In a multivariable model, metformin was more likely to be prescribed for those with BMI ≥35 kg/m2 incidence rate ratio [IRR] 2.6 [95% confidence intervals (CI): 2.1-3.3], female sex IRR, 2.4 [95% CI: 1.8-3.3], HbA1c≥6% IRR, 1.93 [95% CI: 1.5-2.4], age <60 years IRR, 1.7 [95% CI: 1.3-2.3], hypertriglyceridemia IRR, 1.5 [95% CI: 1.2-1.9], hypertension IRR, 1.5 [95% CI: 1.1-2.1], Major Depressive Disorder IRR, 1.5 [95% CI: 1.1-2.0], or schizophrenia IRR, 2.1 [95% CI: 1.2-3.8]. Over 20% of Veterans with prediabetes attended a comprehensive structured lifestyle modification clinic or program. Among Veterans with prediabetes, metformin was prescribed to 1.1% overall, a proportion that marginally increased to 1.6% in the subset of individuals at highest risk for progression to T2DM.
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Affiliation(s)
- Barbara I Gulanski
- Department of Medicine, Endocrinology, VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Medicine, Endocrinology, Yale University School of Medicine, New Haven, CT, USA
| | - Joseph L Goulet
- Section of Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, CT, USA
- Pain, Research, Informatics, Multi-morbidities and Education Center (PRIME), West Haven, CT, USA
| | - Krishnan Radhakrishnan
- National Mental Health and Substance Use Policy Laboratory, Substance Abuse and Mental Health Services Administration, Rockville, MD, USA
| | - John Ko
- VA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT, USA
| | - Yuli Li
- Section of Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, CT, USA
- VA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT, USA
| | - Nallakkandi Rajeevan
- Section of Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, CT, USA
- VA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT, USA
| | - Kyung Min Lee
- VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT, USA
| | - Kent Heberer
- VA Palo Alto Cooperative Studies Program Coordinating Center, VA Palo Alto Heath Care System, CA, USA
- Division of Endocrinology, Gerontology, and Metabolism, Department of Medicine, Endocrinology, Stanford University School of Medicine, Stanford, CA, USA
| | - Julie A Lynch
- VA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, UT, USA
- Department of Internal Medicine, Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Elani Streja
- Department of Medicine, Nephrology, Hypertension and Transplant, University of California-Irvine School of Medicine, Long Beach, CA, USA
| | - Pradeep Mutalik
- Section of Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, CT, USA
- VA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT, USA
| | - Kei-Hoi Cheung
- Section of Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, CT, USA
- VA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Emergency Medicine, Yale University School of Medicine, New Haven, CT, USA
| | - John Concato
- Department of Medicine, Yale University School of Medicine, New Haven, CT, USA
- Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
| | - Mei-Chiung Shih
- VA Palo Alto Cooperative Studies Program Coordinating Center, VA Palo Alto Heath Care System, CA, USA
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA
| | - Jennifer S Lee
- VA Palo Alto Cooperative Studies Program Coordinating Center, VA Palo Alto Heath Care System, CA, USA
- Division of Endocrinology, Gerontology, and Metabolism, Department of Medicine, Endocrinology, Stanford University School of Medicine, Stanford, CA, USA
| | - Mihaela Aslan
- VA Cooperative Studies Program Clinical Epidemiology Research Center (CSP-CERC), VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Medicine, Yale University School of Medicine, New Haven, CT, USA
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