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ElSayed NA, McCoy RG, Aleppo G, Balapattabi K, Beverly EA, Briggs Early K, Bruemmer D, Ebekozien O, Echouffo-Tcheugui JB, Ekhlaspour L, Gaglia JL, Garg R, Khunti K, Lal R, Lingvay I, Matfin G, Pandya N, Pekas EJ, Pilla SJ, Polsky S, Segal AR, Seley JJ, Stanton RC, Bannuru RR. 3. Prevention or Delay of Diabetes and Associated Comorbidities: Standards of Care in Diabetes-2025. Diabetes Care 2025; 48:S50-S58. [PMID: 39651971 PMCID: PMC11635039 DOI: 10.2337/dc25-s003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2024]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Jayedi A, Soltani S, Emadi A, Najafi A, Zargar MS. Efficacy of lifestyle weight loss interventions on regression to normoglycemia and progression to type 2 diabetes in individuals with prediabetes: a systematic review and pairwise and dose-response meta-analyses. Am J Clin Nutr 2024; 120:1043-1052. [PMID: 39222689 PMCID: PMC11600085 DOI: 10.1016/j.ajcnut.2024.08.031] [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: 04/12/2024] [Revised: 08/21/2024] [Accepted: 08/29/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND Current recommendations for weight loss in individuals with prediabetes come from individual trials and are derived from older data. OBJECTIVES To elucidate the dose-dependent impacts of weight loss on participants with prediabetes to determine the optimal magnitude of weight loss required for the implementation of the most effective diabetes prevention program. METHODS We searched PubMed, Scopus, CENTRAL, CINAHL, and gray literature sources to September 2023 for randomized trials ≥6 mo that evaluated the efficacy of a lifestyle weight loss intervention on participants with prediabetes. We conducted random-effects pairwise meta-analyses to calculate relative and absolute effects. We performed a 1-stage weighted mixed-effects meta-analysis to elucidate the dose-response curves. RESULTS Forty-four randomized trials with 14,742 participants with prediabetes [intervention duration range: 6-72 mo (median: 24 mo), mean weight loss range: 1%-9%] were included. Lifestyle weight loss interventions increased regression to normoglycemia by 11/100 participants (95% confidence interval [CI]: 8 more, 17 more; risk ratio: 1.51; 95% CI: 1.27, 1.80; n = 20 trials, grading of recommendations assessment, development, and evaluation = moderate], and reduced progression to type 2 diabetes by 8/100 participants (95% CI: 11 fewer, 6 fewer; risk ratio: 0.59; 95% CI: 0.51, 0.67; n = 37, grading of recommendations assessment, development, and evaluation = moderate). There were no significant or credible differences between subgroups categorized by the type and duration of intervention. Dose-response meta-analyses indicated that the risk of regression to normoglycemia increased, and the risk of progression to type 2 diabetes declined in a linear pattern within the range of weight loss from 1% to 9%. CONCLUSIONS Over a median duration of 24 mo, with weight loss ranging from 1% to 9%, the relationship between weight loss and the progression to type 2 diabetes, as well as the regression to normoglycemia, follows a linear pattern. Any form of lifestyle weight loss intervention, including diet, exercise, or a combination of both, can have beneficial impacts on participants with prediabetes. This trial was registered at PROSPERO as CRD42023465322.
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Affiliation(s)
- Ahmad Jayedi
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, United Kingdom; Social Determinants of Health Research Center, Semnan University of Medical Sciences, Semnan, Iran.
| | - Sepideh Soltani
- Yazd Cardiovascular Research Center, Non-Communicable Disease Research Institute, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Alireza Emadi
- Food Safety Research Center (salt), Semnan University of Medical Sciences, Semnan, Iran
| | - Ali Najafi
- Department of Gastroenterology, Imam Hossein Center for Education, Research and Treatment, Shahroud University of Medical Sciences, Shahroud, Iran
| | - Mahdieh-Sadat Zargar
- Clinical Research Development Unit, Kowsar Educational, Research and Therapeutic Hospital, Semnan University of Medical Sciences, Semnan, Iran
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Zou Y, Lu S, Li D, Huang X, Wang C, Xie G, Duan L, Yang H. Exposure of cumulative atherogenic index of plasma and the development of prediabetes in middle-aged and elderly individuals: evidence from the CHARLS cohort study. Cardiovasc Diabetol 2024; 23:355. [PMID: 39350154 PMCID: PMC11443941 DOI: 10.1186/s12933-024-02449-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2024] [Accepted: 09/19/2024] [Indexed: 10/04/2024] Open
Abstract
BACKGROUND The impact of dynamic changes in the degree of atherosclerosis on the development of prediabetes remains unclear. This study aims to investigate the association between cumulative atherogenic index of plasma (CumAIP) exposure during follow-up and the development of prediabetes in middle-aged and elderly individuals. METHODS A total of 2,939 prediabetic participants from the first wave of the China Health and Retirement Longitudinal Study (CHARLS) were included. The outcomes for these patients, including progression to diabetes and regression to normal fasting glucose (NFG), were determined using data from the third wave. CumAIP was calculated as the ratio of the average AIP values measured during the first and third waves to the total exposure duration. The association between CumAIP and the development of prediabetes was analyzed using multivariable Cox regression and restricted cubic spline (RCS) regression. RESULTS During a median follow-up period of 3 years, 15.21% of prediabetic patients progressed to diabetes, and 22.12% regressed to NFG. Among the groups categorized by CumAIP quartiles, the proportion of prediabetes progressing to diabetes gradually increased (Q1: 10.61%, Q2: 13.62%, Q3: 15.65%, Q4: 20.95%), while the proportion regressing to NFG gradually decreased (Q1: 23.54%, Q2: 23.71%, Q3: 22.18%, Q4: 19.05%). Multivariable-adjusted Cox regression showed a significant positive linear correlation between high CumAIP exposure and prediabetes progression, and a significant negative linear correlation with prediabetes regression. Furthermore, in a stratified analysis, it was found that compared to married individuals, those who were unmarried (including separated, divorced, widowed, or never married) had a relatively higher risk of CumAIP-related diabetes. CONCLUSION CumAIP is closely associated with the development of prediabetes. High CumAIP exposure not only increases the risk of prediabetes progression but also hinders its regression within a certain range. These findings suggest that monitoring and maintaining appropriate AIP levels may help prevent the deterioration of blood glucose levels.
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Affiliation(s)
- Yang Zou
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, China
| | - Song Lu
- Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China
| | - Dongdong Li
- Department of Ultrasound, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China
| | - Xin Huang
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, China
- Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China
| | - Chao Wang
- Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, China
- Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, China
| | - Guobo Xie
- Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, China
| | - Lihua Duan
- Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, China.
- Jiangxi Province Key Laboratory of Immunity and Inflammation, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, China.
| | - Hongyi Yang
- Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi Province, China.
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Cao Y, Shrestha A, Janiczak A, Li X, Lu Y, Haregu T. Lifestyle Intervention in Reducing Insulin Resistance and Preventing type 2 Diabetes in Asia Pacific Region: A Systematic Review and Meta-Analysis. Curr Diab Rep 2024; 24:207-215. [PMID: 39083158 PMCID: PMC11303493 DOI: 10.1007/s11892-024-01548-0] [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] [Accepted: 07/14/2024] [Indexed: 08/07/2024]
Abstract
PURPOSE OF REVIEW To update the evidence of lifestyle interventions for the prevention of type 2 diabetes mellites (T2DM) in adults, particularly in the Asia Pacific region. The key questions to ask are: 1) How effective are lifestyle interventions in preventing T2DM among at-risk adults in the Asia Pacific Region? 2)What are the key characteristics of the implementation of lifestyle interventions for diabetes prevention? RECENT FINDINGS Lifestyle interventions for the prevention of T2DM have been suggested to be effective. There is evidence of ethnic differences in some glycaemic and anthropometric outcomes. The meta-analysis suggested a significant result in reducing waist circumference (standardised mean difference - 019, 95%CI ( -0.31, -0.06)), and no significant effects in other outcomes. However, the implementation outcomes suggested lifestyle intervention might be a cost-effective and sustainable approach in T2DM particularly in countries in the Asia Pacific Region. The focus of lifestyle intervention in the Asia Pacific Region should not only lie in the effectiveness of the trial but a thorough evaluation of the implementation outcomes, as well as cultural adaptations, with the support of all stakeholders through all stages of the implementation.
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Affiliation(s)
- Yingting Cao
- School of Allied Health, Human Services and Sport, La Trobe University, Plenty Road, Kingsbury Dr, Bundoora, VIC 3086, Australia.
- Non-communicable and implementation science lab, Baker Heart and Diabetes Institute, Alice Springs, Australia.
| | - Abha Shrestha
- Non-communicable and implementation science lab, Baker Heart and Diabetes Institute, Alice Springs, Australia
- School of Psychology and Public Health, La Trobe University, Melbourne, Victoria, Australia
| | - Amy Janiczak
- School of Allied Health, Human Services and Sport, La Trobe University, Plenty Road, Kingsbury Dr, Bundoora, VIC 3086, Australia
| | - Xia Li
- Statistics Consultancy Platform, La Trobe University, Melbourne, Australia
| | - Yang Lu
- Non-communicable and implementation science lab, Baker Heart and Diabetes Institute, Alice Springs, Australia
- School of Psychology and Public Health, La Trobe University, Melbourne, Victoria, Australia
- School of Sociology and Population Studies, Nanjing University of Posts and Telecommunications, Nanjing, China
| | - Tilahun Haregu
- Non-communicable and implementation science lab, Baker Heart and Diabetes Institute, Alice Springs, Australia
- School of Psychology and Public Health, La Trobe University, Melbourne, Victoria, Australia
- Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
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Tang F, Wang W, Wang Y, Lee Y, Lou Q. Moderate resistance training reduces intermuscular adipose tissue and risk factors of atherosclerotic cardiovascular disease for elderly patients with type 2 diabetes. Diabetes Obes Metab 2024; 26:3418-3428. [PMID: 38853302 DOI: 10.1111/dom.15684] [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: 01/31/2024] [Revised: 05/11/2024] [Accepted: 05/11/2024] [Indexed: 06/11/2024]
Abstract
AIM This study aimed to assess the impact of moderate resistance training on intermuscular adipose tissue (IMAT) in elderly patients with type 2 diabetes and the independent effect of IMAT reduction on metabolic outcomes. METHODS In this randomized controlled trial, 85 patients with type 2 diabetes were assigned to either the resistance training group (42 participants) or the control group (43 participants) for a 6-month intervention. The primary outcome was changes in IMAT measured by computed tomography scan and magnetic resonance imaging using the interactive decomposition of water and fat with echo asymmetry and least squares qualification sequence. Secondary outcomes included changes in metabolic parameters. RESULTS Thirty-seven participants in each group completed the study. The IMAT area (measured by a computed tomography scan) in the resistance group decreased from 5.176 ± 1.249 cm2 to 4.660 ± 1.147 cm2, which is a change of -0.512 ± 0.115 cm2, representing a 9.89% decrease from the least-squares adjusted mean at baseline, which was significantly different from that of the control group (a change of 0.587 ± 0.115 cm2, a 10.34% increase). The normal attenuation muscle area (representing normal muscle density) in the resistance group increased from 82.113 ± 8.776 cm2 to 83.054 ± 8.761 cm2, a change of 1.049 ± 0.416 cm2, a 1.3% increase, which was significantly different from that of the control group (a change of -1.113 ± 0.416 cm2, a 1.41% decrease). Homeostasis model assessment 2 of beta cell function (HOMA2-β; increased from 52.291 ± 24.765 to 56.368 ± 21.630, a change of 4.135 ± 1.910, a 7.91% increase from baseline) and ratio of insulin increase to blood glucose increase at 30 min after the oral glucose tolerance test (∆I30/∆G30; increased from 4.616 ± 1.653 to 5.302 ± 2.264, a change of 0.715 ± 0.262, a 15.49% increase) in the resistance group were significantly improved compared with those in the control group, which had a change of -3.457 ± 1.910, a 6.05% decrease in HOMA2-β, and a change of -0.195 ± 0.262, a 3.87% decrease in ∆I30/∆G30, respectively. Adjusting for sex, age, diabetes duration, baseline IMAT, and the dependent variable at baseline, linear regression showed that the change in IMAT area was not related to the change in HOMA2 insulin resistance (β = -0.178, p = .402) or the change in HOMA2-β (β = -1.891, p = .197), but was significantly related to the changes in ∆I30/∆G30 (β = -0.439, p = .047), 2-h postprandial glucose (β = 1.321, p = .026), diastolic blood pressure (β = 2.425, p = .018), normal attenuation muscle area (β = -0.907, p = .019) and 10-year risk of atherosclerotic cardiovascular disease (β = 0.976, p = .002). CONCLUSION Low-level, moderate resistance training reduces IMAT content. Even a small reduction in IMAT may be related to a decrease in risk factors for atherosclerotic cardiovascular disease, but this small reduction may not be sufficient to reduce insulin resistance.
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Affiliation(s)
- Fangli Tang
- Hainan Clinical Research Center for Metabolic Disease, The First Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Wenjun Wang
- Hainan Clinical Research Center for Metabolic Disease, The First Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Ying Wang
- Institute of Translational Medicine, Medical College, Yangzhou University, Yangzhou, China
| | | | - Qingqing Lou
- Hainan Clinical Research Center for Metabolic Disease, The First Affiliated Hospital of Hainan Medical University, Haikou, China
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Ma X, Ai Y, Lei F, Tang X, Li Q, Huang Y, Zhan Y, Mao Q, Wang L, Lei F, Yi Q, Yang F, Yin X, He B, Zhou L, Ruan S. Effect of blood flow-restrictive resistance training on metabolic disorder and body composition in older adults with type 2 diabetes: a randomized controlled study. Front Endocrinol (Lausanne) 2024; 15:1409267. [PMID: 38904038 PMCID: PMC11186980 DOI: 10.3389/fendo.2024.1409267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Accepted: 05/20/2024] [Indexed: 06/22/2024] Open
Abstract
Introduction To explore whether blood flow-restrictive resistance exercise (BFRE) can be used as an alternative strategy to moderate-intensity resistance training (RT) to improve metabolic disorder and body composition in older adults with type 2 diabetes (T2DM). Methods This is a single-blind, randomized, controlled trial. Ninety-eight older adults with T2DM were randomly divided into three groups: BFRE group (n = 34), RT group (n = 31) and control group (n = 33). Two exercise groups received supervised collective training for a period of six months, each lasting 50 min, three times a week. The primary outcomes included fasting plasma glucose (FPG), Glycosylated hemoglobin (HbA1c), blood lipids, blood pressure, and body composition. The secondary outcome was muscle performance. Results After six months of intervention, the FPG, HbA1c, blood lipids, diastolic blood pressure, body composition, and muscle performance of the two exercise groups were significantly improved relative to the control group and baseline measurements (P < 0.05). There was no significant increase in lean mass between the two exercise groups compared to the control group and baseline (p > 0.05). There was no significant decrease in systolic blood pressure between the two exercise groups compared to the control group (p > 0.05), but it was significantly lower than their baseline (P < 0.05). There was no significant difference in all indicators between the two exercise groups at the baseline, third and sixth months of intervention (p > 0.05). Discussion BFRE can safely and effectively improve the metabolic disorder and body composition of older adults with T2DM. For elderly exercise beginners, BFRE can be used as an alternative strategy to moderate-intensity resistance training. Clinical trial registration https://www.chictr.org.cn/showproj.html?proj=178886, identifier ChiCTR2300074357.
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Affiliation(s)
- Xiaojun Ma
- School of Nursing, Shaoyang University, Shaoyang, Hunan, China
| | - Yuxin Ai
- School of Nursing, Shaoyang University, Shaoyang, Hunan, China
| | - Fulian Lei
- School of Nursing, Shaoyang University, Shaoyang, Hunan, China
| | - Xuan Tang
- School of Nursing, Shaoyang University, Shaoyang, Hunan, China
| | - Qingmei Li
- School of Nursing, Shaoyang University, Shaoyang, Hunan, China
| | - Yixin Huang
- School of Nursing, Shaoyang University, Shaoyang, Hunan, China
| | - Yating Zhan
- School of Nursing, Shaoyang University, Shaoyang, Hunan, China
| | - Quan Mao
- School of Nursing, Shaoyang University, Shaoyang, Hunan, China
| | - Liduo Wang
- School of Nursing, Shaoyang University, Shaoyang, Hunan, China
| | - Fenfang Lei
- School of Nursing, Shaoyang University, Shaoyang, Hunan, China
| | - Qinyu Yi
- Department of Endocrinology, The Second Affiliated Hospital of Shaoyang University, Shaoyang, Hunan, China
| | - Fan Yang
- Department of Anesthesiology, Central Hospital of Shaoyang, Shaoyang, Hunan, China
| | - Xiaogang Yin
- Department of Anesthesiology, Central Hospital of Shaoyang, Shaoyang, Hunan, China
| | - Binghua He
- Department of Anesthesiology, Central Hospital of Shaoyang, Shaoyang, Hunan, China
| | - Lei Zhou
- Department of Anesthesiology, Central Hospital of Shaoyang, Shaoyang, Hunan, China
| | - Sijie Ruan
- Department of Anesthesiology, Central Hospital of Shaoyang, Shaoyang, Hunan, China
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Liu D, Li N, Zhou Y, Wang M, Song P, Yuan C, Shi Q, Chen H, Zhou K, Wang H, Li T, Pan XF, Tian H, Li S. Sex-specific associations between skeletal muscle mass and incident diabetes: A population-based cohort study. Diabetes Obes Metab 2024; 26:820-828. [PMID: 37997500 DOI: 10.1111/dom.15373] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 10/31/2023] [Accepted: 11/04/2023] [Indexed: 11/25/2023]
Abstract
AIMS To investigate the sex-specific associations between predicted skeletal muscle mass index (pSMI) and incident type 2 diabetes in a retrospective longitudinal cohort of Chinese men and women. MATERIALS AND METHODS We enrolled Chinese adults without diabetes at baseline from WATCH (West chinA adulT health CoHort), a large health check-up-based database. We calculated pSMI to estimate skeletal muscular mass, and measured blood glucose variables and assessed self-reported history to identify new-onset diabetes. The nonlinear association between pSMI and incident type 2 diabetes was modelled using the penalized spline method. The piecewise association was estimated using segmented linear splines in weighted Cox proportional hazards regression models. RESULTS Of 47 885 adults (53.2% women) with a median age of 40 years, 1836 developed type 2 diabetes after a 5-year median follow-up. In women, higher pSMI was associated with a lower risk of incident type 2 diabetes (Pnonlinearity = 0.09, hazard ratio [HR] per standard deviation increment in pSMI: 0.79 [95% confidence interval {CI} 0.68, 0.91]). A nonlinear association of pSMI with incident type 2 diabetes was detected in men (Pnonlinearity < 0.001). In men with pSMI lower than 8.1, higher pSMI was associated with a lower risk of incident type 2 diabetes (HR 0.58 [95% CI 0.40, 0.84]), whereas pSMI was not significantly associated with incident diabetes in men with pSMI equal to or greater than 8.1 (HR 1.08 [95% CI 0.93, 1.25]). CONCLUSIONS In females, a larger muscular mass is associated with a lower risk of type 2 diabetes. For males, this association is significant only among those with diminished muscle mass.
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Affiliation(s)
- Dan Liu
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, China
| | - Nan Li
- Department of Informatics, West China Hospital, Sichuan University, Chengdu, China
| | - Yiling Zhou
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, China
| | - Miye Wang
- Department of Informatics, West China Hospital, Sichuan University, Chengdu, China
| | - Peige Song
- School of Public Health, Zhejiang University, Hangzhou, China
| | - Changzheng Yuan
- School of Public Health, Zhejiang University, Hangzhou, China
| | - Qingyang Shi
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, China
| | - Hui Chen
- School of Public Health, Zhejiang University, Hangzhou, China
| | - Kaixin Zhou
- College of Life Sciences, University of the Chinese Academy of Sciences, Beijing, China
- College of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Huan Wang
- Division of Population Health and Genomics, School of Medicine, University of Dundee, Dundee, UK
| | - Tao Li
- Department of Anesthesiology, Laboratory of Mitochondria and Metabolism, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Xiong-Fei Pan
- Section of Epidemiology and Population Health, Ministry of Education Key Laboratory of Birth Defects and Related Diseases of Women and Children, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Haoming Tian
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, China
| | - Sheyu Li
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, China
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Zhang H, Guo Y, Hua G, Guo C, Gong S, Li M, Yang Y. Exercise training modalities in prediabetes: a systematic review and network meta-analysis. Front Endocrinol (Lausanne) 2024; 15:1308959. [PMID: 38440785 PMCID: PMC10911289 DOI: 10.3389/fendo.2024.1308959] [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: 10/07/2023] [Accepted: 01/19/2024] [Indexed: 03/06/2024] Open
Abstract
Background Lifestyle modification based on exercise intervention is still the primary way to delay or reverse the development of diabetes in patients with prediabetes. However, there are still challenges in setting up a detailed exercise prescription for people with prediabetes. This study mainly ranks exercise prescriptions by comparing the improvement of glucose and lipid metabolism and the level of weight loss in patients. Method All studies on exercise intervention in prediabetes were identified by searching five electronic databases. Risk assessment and meta-analysis were performed on eligible studies. Results Twenty-four studies involving 1946 patients with prediabetes and seven exercise intervention models were included in the final analysis. The meta-analysis showed that exercise of any type was more effective for glycemic control in prediabetes than no exercise. However, the changes in blood glucose were moderate. In prediabetes, combining moderate-intensity aerobic exercise with low-to moderate-load resistance training showed the most significant improvements in glycosylated hemoglobin (HbA1c), body mass index (BMI), body weight (BW), total cholesterol (TC), and low-density lipoprotein cholesterol (LDL) (P-score=0.82; 0.70; 0.87; 1; 0.99), low-to moderate-load resistance training showed the most significant improvements in fasting blood glucose (FBG) (P-score=0.98), the vigorous-intensity aerobic exercise showed the most significant improvements in 2-hour post-meal blood glucose (2hPG) and systolic blood pressure (SBP) (P-score=0.79; 0.78), and moderate-intensity aerobic exercise showed the most significant improvements in diastolic blood pressure (DBP) (P-score=0.78). Conclusion In summary, moderate-intensity aerobic exercise, low-to moderate-load resistance training and the combination of both have beneficial effects on glycemic control, weight loss, and cardiovascular health in patients with prediabetes. These findings provide valuable guidance for rehabilitation clinicians and patients alike to follow. Systematic review registration https://www.crd.york.ac.uk/PROSPERO/, identifier CRD 42021284922.
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Affiliation(s)
- Hang Zhang
- School of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yuting Guo
- School of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Guangshun Hua
- School of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Chenyang Guo
- School of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Simiao Gong
- Department of Rehabilitation Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangdong, China
| | - Min Li
- School of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yan Yang
- Medical Department of The Third Affiliated Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China
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ElSayed NA, Aleppo G, Bannuru RR, Bruemmer D, Collins BS, Ekhlaspour L, Gaglia JL, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Selvin E, Stanton RC, Gabbay RA. 3. Prevention or Delay of Diabetes and Associated Comorbidities: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S43-S51. [PMID: 38078581 PMCID: PMC10725807 DOI: 10.2337/dc24-s003] [Citation(s) in RCA: 59] [Impact Index Per Article: 59.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Bennasar-Veny M, Malih N, Galmes-Panades AM, Hernandez-Bermudez IC, Garcia-Coll N, Ricci-Cabello I, Yañez AM. Effect of physical activity and different exercise modalities on glycemic control in people with prediabetes: a systematic review and meta-analysis of randomized controlled trials. Front Endocrinol (Lausanne) 2023; 14:1233312. [PMID: 37842295 PMCID: PMC10569497 DOI: 10.3389/fendo.2023.1233312] [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: 06/01/2023] [Accepted: 08/14/2023] [Indexed: 10/17/2023] Open
Abstract
Background Numerous studies have shown the beneficial effects of exercise on glycemic control in people with prediabetes. However, the most effective exercise modality for improving glycemic control remains unclear. We aimed to assess which exercise training modality is most effective in improving glycemic control in a population with prediabetes. Methods We conducted searches in Pubmed/MEDLINE, EMBASE, SPORTDiscus, Web of Science, PEDro, BVS, and the Cochrane Library from inception to June 2022. Included studies reported fasting plasma glucose (FPG), glycated hemoglobin (HbA1c), and 2-hour postprandial (2hPP) levels and implemented an exercise program lasting at least 12 weeks in adults with prediabetes. We performed a direct meta-analysis using a random-effects model and a network meta-analysis. Cochran's Q statistic and the inconsistency I2 test were used to assess the heterogenicity between studies. Results Twenty trials were included, with 15 trials (comprising 775 participants with prediabetes) combined in the meta-analysis, and 13 in the network meta-analysis. The meta-analysis results did not show a statistically significant reduction in fasting plasma glucose (FPG) after aerobic training (AT) intervention compared to a control group (mean (95%CI) difference = -5.18 (-13.48; 3.12) mg/dL, Z=1.22, p=0.22). However, a difference of -7.25 (-13.79; -0.71) mg/dL, p=0.03, in FPG after interval training (IT) intervention was detected compared to a control group. After resistance training (RT) intervention, FPG was significantly lower -6.71 (-12.65,-0.77) mg/dL, Z=2.21, p=0.03, and HbA1c by -0.13 (-0.55, 0.29), p=0.54, compared to the control group. The impact of RT compared to no intervention on 2hPP was not statistically significant (p=0.26). The network meta-analysis did not show statistical significance. Most of the studies presented an unclear risk of bias, and a low and very low-quality of evidence. According to the GRADE criteria, the strength of the body of evidence was low. Conclusion Resistance training and IT had demonstrated benefits on glycemic indices, especially on FPG, in a population with prediabetes. Further studies with larger sample sizes and a more robust methodology that compare different types of exercise modalities, frequencies, and durations, are needed to establish a beneficial exercise intervention. Systematic review registration https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=370688, identifier CRD42022370688.
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Affiliation(s)
- Miquel Bennasar-Veny
- Global Health and Lifestyles Research Group, Health Research Institute of the Balearic Islands (IdISBa), Palma, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain
- Department of Nursing and Physiotherapy, University of the Balearic Islands (UIB), Palma, Spain
| | - Narges Malih
- Research Group on Global Health, University of the Balearic Islands (UIB), Palma, Spain
| | - Aina M. Galmes-Panades
- Global Health and Lifestyles Research Group, Health Research Institute of the Balearic Islands (IdISBa), Palma, Spain
- Research Group on Global Health, University of the Balearic Islands (UIB), Palma, Spain
- CIBER of Physiopathology of Obesity and Nutrition (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
- Physical Activity and Sport Sciences Research Group (GICAFE), Institute for Educational Research and Innovation (IRIE), University of the Balearic Islands, Palma, Spain
| | | | - Natalia Garcia-Coll
- Research Group on Global Health, University of the Balearic Islands (UIB), Palma, Spain
| | - Ignacio Ricci-Cabello
- CIBER de Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain
- Research Group in Primary Care and Promotion—Balearic Islands Community (GRAPP-caIB), Health Research Institute of the Balearic Islands (IdISBa), Palma, Spain
- Primary Care Research Unit of Mallorca (IB-Salut), Balearic Health Service, Palma de Mallorca, Spain
| | - Aina M. Yañez
- Global Health and Lifestyles Research Group, Health Research Institute of the Balearic Islands (IdISBa), Palma, Spain
- Department of Nursing and Physiotherapy, University of the Balearic Islands (UIB), Palma, Spain
- Research Group on Global Health, University of the Balearic Islands (UIB), Palma, Spain
- Research Network on Chronicity, Primary Care, and Health Promotion (RICAPPS), Institute of Health Carlos III, Madrid, Spain
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11
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Way KL, Thomas HJ, Parker L, Maiorana A, Keske MA, Scott D, Reed JL, Tieng J, Hackett D, Hawkins T, Latella C, Cordina R, Tran DL. Cluster Sets to Prescribe Interval Resistance Training: A Potential Method to Optimise Resistance Training Safety, Feasibility and Efficacy in Cardiac Patients. SPORTS MEDICINE - OPEN 2023; 9:86. [PMID: 37725296 PMCID: PMC10509118 DOI: 10.1186/s40798-023-00634-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 09/04/2023] [Indexed: 09/21/2023]
Abstract
The integration of resistance training for cardiac patients leads to important health outcomes that are not optimally obtained with aerobic exercise; these include an increase in muscle mass, maintenance of bone mineral density, and improvements in muscular fitness parameters. Despite the proliferation of evidence supporting resistance exercise in recent decades, the implementation of resistance training is underutilised, and prescription is often sub-optimal in cardiac patients. This is frequently associated with safety concerns and inadequate methods of practical exercise prescription. This review discusses the potential application of cluster sets to prescribe interval resistance training in cardiac populations. The addition of planned, regular passive intra-set rest periods (cluster sets) in resistance training (i.e., interval resistance training) may be a practical solution for reducing the magnitude of haemodynamic responses observed with traditional resistance training. This interval resistance training approach may be a more suitable option for cardiac patients. Additionally, many cardiac patients present with impaired exercise tolerance; this model of interval resistance training may be a more suitable option to reduce fatigue, increase patient tolerance and enhance performance to these workloads. Practical strategies to implement interval resistance training for cardiac patients are also discussed. Preliminary evidence suggests that interval resistance training may lead to safer acute haemodynamic responses in cardiac patients. Future research is needed to determine the efficacy and feasibility of interval resistance training for health outcomes in this population.
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Affiliation(s)
- Kimberley L Way
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, 3125, Australia.
- Exercise Physiology and Cardiovascular Health Lab, Division of Cardiac Prevention and Rehabilitation, University of Ottawa Heart Institute, Ottawa, ON, Canada.
| | - Hannah J Thomas
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, 3125, Australia
| | - Lewan Parker
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, 3125, Australia
| | - Andrew Maiorana
- Curtin School of Allied Health, Curtin University, Perth, WA, Australia
- Allied Health Department, Fiona Stanley Hospital, Perth, WA, Australia
| | - Michelle A Keske
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, 3125, Australia
| | - David Scott
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, 3125, Australia
- School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | - Jennifer L Reed
- Exercise Physiology and Cardiovascular Health Lab, Division of Cardiac Prevention and Rehabilitation, University of Ottawa Heart Institute, Ottawa, ON, Canada
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
- School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, ON, Canada
| | - Jessica Tieng
- Epigenetics and RNA Biology Program, Centenary Institute, Camperdown, NSW, Australia
- Central Clinical School, The University of Sydney School of Medicine, Camperdown, NSW, 2006, Australia
| | - Daniel Hackett
- Discipline of Exercise and Sports Science, Sydney School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia
| | - Tess Hawkins
- Concord Centre for STRONG Medicine, Concord Repatriation General Hospital, Concord West, NSW, Australia
| | - Christopher Latella
- School of Health and Medical Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Rachael Cordina
- Central Clinical School, The University of Sydney School of Medicine, Camperdown, NSW, 2006, Australia
- Department of Cardiology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
- Charles Perkins Centre, Heart Research Institute, Camperdown, NSW, Australia
| | - Derek L Tran
- Central Clinical School, The University of Sydney School of Medicine, Camperdown, NSW, 2006, Australia.
- Department of Cardiology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia.
- Charles Perkins Centre, Heart Research Institute, Camperdown, NSW, Australia.
- Human Performance Research Centre, School of Sport, Exercise and Rehabilitation, Faculty of Health, University of Technology Sydney, Moore Park, NSW, Australia.
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12
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Wang Y, Li H, Yang D, Wang M, Han Y, Wang H. Effects of aerobic exercises in prediabetes patients: a systematic review and meta-analysis. Front Endocrinol (Lausanne) 2023; 14:1227489. [PMID: 37522127 PMCID: PMC10374027 DOI: 10.3389/fendo.2023.1227489] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 06/28/2023] [Indexed: 08/01/2023] Open
Abstract
Aims To evaluate the effects of different durations of continuous aerobic exercise on prediabetic patients. Materials and methods The research encompassed randomized controlled trials that examined how various durations of aerobic exercise training affected outcomes related to Body Mass Index (BMI), Fasting blood glucose (FBG), 2-hour plasma glucose (2hPG), and glycated hemoglobin (HbA1c) in individuals diagnosed with prediabetes. PubMed, Embase, Web of Science, and the Cochrane Library were searched as of January 7, 2023. The Cochrane Risk of Bias, version 2 (ROB 2) tool was used to assess the risk of bias. Results A total of 10 RCTs with 815 prediabetic patients were included. The average age of the participants was 56.1 years, with a standard deviation of 5.1 years. Among the participants, 39.2% were male. The interventions consisted of aerobic dance, treadmill running, walking, and a combination of aerobic exercises. The training sessions occurred three or four times per week. In prediabetic patients, aerobic exercise demonstrated a significant reduction in BMI compared to the control group, with a weighted mean difference (WMD) of -1.44 kg/m2 (95% confidence interval [CI] -1.89, -0.98). There was a decrease in FBG levels, with WMD of -0.51 mmol/L (95% CI -0.70, -0.32). Additionally, aerobic training led to significant improvements in 2hPG levels, with a WMD of -0.76 mmol/L (95% CI -1.14, -0.38). Furthermore, prediabetic patients showed a decrease in HbA1c levels after engaging in aerobic training compared to the control group, with a WMD of -0.34% (95% CI -0.45, -0.23). Conclusion In summary, engaging in aerobic exercise can have a significant positive impact on glycemic levels in individuals with prediabetes. It can also lead to reductions in BMI, FBG, 2hPG, HbA1c, and other relevant indicators. The extent of these improvements may vary slightly depending on the duration of the aerobic exercise intervention. Systematic review registration PROSPERO https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42023395515.
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Affiliation(s)
- Yifei Wang
- College of Physical Education and Health, Guangxi Normal University, Guilin, China
| | - Honglei Li
- School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, China
| | - Dongxue Yang
- College of Physical Education and Health, Guangxi Normal University, Guilin, China
| | - Mengzhao Wang
- College of Physical Education and Health, Guangxi Normal University, Guilin, China
| | - Yanbai Han
- College of Physical Education and Health, Guangxi Normal University, Guilin, China
| | - Hongli Wang
- College of Physical Education and Health, Guangxi Normal University, Guilin, China
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13
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Samson SL, Vellanki P, Blonde L, Christofides EA, Galindo RJ, Hirsch IB, Isaacs SD, Izuora KE, Low Wang CC, Twining CL, Umpierrez GE, Valencia WM. American Association of Clinical Endocrinology Consensus Statement: Comprehensive Type 2 Diabetes Management Algorithm - 2023 Update. Endocr Pract 2023; 29:305-340. [PMID: 37150579 DOI: 10.1016/j.eprac.2023.02.001] [Citation(s) in RCA: 153] [Impact Index Per Article: 76.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 01/31/2023] [Accepted: 02/06/2023] [Indexed: 05/09/2023]
Abstract
OBJECTIVE This consensus statement provides (1) visual guidance in concise graphic algorithms to assist with clinical decision-making of health care professionals in the management of persons with type 2 diabetes mellitus to improve patient care and (2) a summary of details to support the visual guidance found in each algorithm. METHODS The American Association of Clinical Endocrinology (AACE) selected a task force of medical experts who updated the 2020 AACE Comprehensive Type 2 Diabetes Management Algorithm based on the 2022 AACE Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan and consensus of task force authors. RESULTS This algorithm for management of persons with type 2 diabetes includes 11 distinct sections: (1) Principles for the Management of Type 2 Diabetes; (2) Complications-Centric Model for the Care of Persons with Overweight/Obesity; (3) Prediabetes Algorithm; (4) Atherosclerotic Cardiovascular Disease Risk Reduction Algorithm: Dyslipidemia; (5) Atherosclerotic Cardiovascular Disease Risk Reduction Algorithm: Hypertension; (6) Complications-Centric Algorithm for Glycemic Control; (7) Glucose-Centric Algorithm for Glycemic Control; (8) Algorithm for Adding/Intensifying Insulin; (9) Profiles of Antihyperglycemic Medications; (10) Profiles of Weight-Loss Medications (new); and (11) Vaccine Recommendations for Persons with Diabetes Mellitus (new), which summarizes recommendations from the Advisory Committee on Immunization Practices of the U.S. Centers for Disease Control and Prevention. CONCLUSIONS Aligning with the 2022 AACE diabetes guideline update, this 2023 diabetes algorithm update emphasizes lifestyle modification and treatment of overweight/obesity as key pillars in the management of prediabetes and diabetes mellitus and highlights the importance of appropriate management of atherosclerotic risk factors of dyslipidemia and hypertension. One notable new theme is an emphasis on a complication-centric approach, beyond glucose levels, to frame decisions regarding first-line pharmacologic choices for the treatment of persons with diabetes. The algorithm also includes access/cost of medications as factors related to health equity to consider in clinical decision-making.
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Affiliation(s)
- Susan L Samson
- Chair of Task Force; Chair of the Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Mayo Clinic, Jacksonville, Florida
| | - Priyathama Vellanki
- Vice Chair of Task Force; Associate Professor of Medicine, Department of Medicine, Division of Endocrinology, Metabolism and Lipids, Emory University School of Medicine, Emory University; Section Chief, Endocrinology, Grady Memorial Hospital, Atlanta, Georgia
| | - Lawrence Blonde
- Director, Ochsner Diabetes Clinical Research Unit, Frank Riddick Diabetes Institute, Department of Endocrinology, Ochsner Health, New Orleans, Louisiana
| | | | - Rodolfo J Galindo
- Associate Professor of Medicine, University of Miami Miller School of Medicine; Director, Comprehensive Diabetes Center, Lennar Medical Center, UMiami Health System; Director, Diabetes Management, Jackson Memorial Health System, Miami, Florida
| | - Irl B Hirsch
- Professor of Medicine, Department of Medicine, University of Washington School of Medicine, Seattle, Washington
| | - Scott D Isaacs
- Department of Medicine, Emory University School of Medicine, Atlanta, Georgia
| | - Kenneth E Izuora
- Associate Professor, Department of Internal Medicine, Endocrinology, Kirk Kerkorian School of Medicine, University of Nevada Las Vegas, Las Vegas, Nevada
| | - Cecilia C Low Wang
- Professor of Medicine, Department of Medicine, Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Christine L Twining
- Endocrinology, Diabetes and Metabolism, Maine Medical Center, Maine Health, Scarborough, Maine
| | - Guillermo E Umpierrez
- Professor of Medicine, Emory University School of Medicine, Division of Endocrinology, Metabolism; Chief of Diabetes and Endocrinology, Grady Health Systems, Atlanta, Georgia
| | - Willy Marcos Valencia
- Endocrinology and Metabolism Institute, Center for Geriatric Medicine, Cleveland Clinic, Cleveland, Ohio
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14
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Chen H, She Y, Dai S, Wang L, Tao N, Huang S, Xu S, Lou Y, Hu F, Li L, Wang C. Predicting the Risk of Type 2 Diabetes Mellitus with the New Chinese Diabetes Risk Score in a Cohort Study. Int J Public Health 2023; 68:1605611. [PMID: 37180612 PMCID: PMC10166829 DOI: 10.3389/ijph.2023.1605611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 03/27/2023] [Indexed: 05/16/2023] Open
Abstract
Objectives: The New Chinese Diabetes Risk Score (NCDRS) is a noninvasive tool to assess the risk of type 2 diabetes mellitus (T2DM) in the Chinese population. Our study aimed to evaluate the performance of the NCDRS in predicting T2DM risk with a large cohort. Methods: The NCDRS was calculated, and participants were categorized into groups by optimal cutoff or quartiles. Hazard ratios (HRs) and 95% confidential intervals (CIs) in Cox proportional hazards models were used to estimate the association between the baseline NCDRS and the risk of T2DM. The performance of the NCDRS was assessed by the area under the curve (AUC). Results: The T2DM risk was significantly increased in participants with NCDRS ≥25 (HR = 2.12, 95% CI 1.88-2.39) compared with NCDRS <25 after adjusting for potential confounders. T2DM risk also showed a significant increasing trend from the lowest to the highest quartile of NCDRS. The AUC was 0.777 (95% CI 0.640-0.786) with a cutoff of 25.50. Conclusion: The NCDRS had a significant positive association with T2DM risk, and the NCDRS is valid for T2DM screening in China.
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Affiliation(s)
- Hongen Chen
- Department of Non-Communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, China
| | - Yuhang She
- Injury Prevention Research Center, Shantou University Medical College, Shantou, China
- School of Public Health, Shantou University, Shantou, China
| | - Shuhong Dai
- Department of Non-Communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, China
| | - Li Wang
- Department of Non-Communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, China
| | - Na Tao
- Department of Pharmacy, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China
| | - Shaofen Huang
- Shenzhen Nanshan District Shekou People’s Hospital, Shenzhen, China
| | - Shan Xu
- Department of Non-Communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, China
| | - Yanmei Lou
- Department of Health Management, Beijing Xiao Tang Shan Hospital, Beijing, China
| | - Fulan Hu
- Department of Epidemiology and Health Statistics, School of Public Health, Shenzhen University Health Science Center, Shenzhen, China
| | - Liping Li
- Injury Prevention Research Center, Shantou University Medical College, Shantou, China
- School of Public Health, Shantou University, Shantou, China
| | - Changyi Wang
- Department of Non-Communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, China
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15
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ElSayed NA, Aleppo G, Aroda VR, Bannuru RR, Brown FM, Bruemmer D, Collins BS, Hilliard ME, Isaacs D, Johnson EL, Kahan S, Khunti K, Leon J, Lyons SK, Perry ML, Prahalad P, Pratley RE, Seley JJ, Stanton RC, Gabbay RA, on behalf of the American Diabetes Association. 3. Prevention or Delay of Type 2 Diabetes and Associated Comorbidities: Standards of Care in Diabetes-2023. Diabetes Care 2023; 46:S41-S48. [PMID: 36507633 PMCID: PMC9810464 DOI: 10.2337/dc23-s003] [Citation(s) in RCA: 100] [Impact Index Per Article: 50.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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16
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Efficacy of Different Modalities and Frequencies of Physical Exercise on Glucose Control in People with Prediabetes (GLYCEX Randomised Trial). Metabolites 2022; 12:metabo12121286. [PMID: 36557324 PMCID: PMC9785307 DOI: 10.3390/metabo12121286] [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: 11/25/2022] [Revised: 12/13/2022] [Accepted: 12/14/2022] [Indexed: 12/23/2022] Open
Abstract
To assess the efficacy of different modalities and frequencies of physical exercise on glycaemic control in adults with prediabetes. A two-phase, parallel, randomised, controlled clinical trial will be carried out, in 210 participants. In phase 1, 120 participants will be randomized into four arms: (1) aerobic exercise, (2) aerobic exercise combined with resistance, (3) high-intensity intervallic exercise and (4) control group. In phase 2, 90 new participants will be randomized into three arms, using the exercise modality that showed the best glycaemic control in phase 1 in the following manner: (1) frequency of 5 days/week, (2) frequency of 3 days/week and (3) frequency of 2 days/week. The control group (n = 30) will be included in phase 1 to evaluate the effect of any type of intervention versus no intervention. Data collection will be performed at baseline and after 15 weeks of follow up. Sociodemographic data, medication, comorbidity, blood biochemical parameters, blood pressure, anthropometric measurements, body composition, physical activity, sedentary lifestyle, diet, smoking, alcohol consumption, quality of life and sleep questionnaires will be collected. Physical activity, sedentary behaviour and sleep will be further determined with an accelerometer, and continuous glycaemia will be determined with a glycaemic monitor, both during seven days, at two time points. The main dependent variable will be the reduction in the mean amplitude of glycaemic excursions. The impact of these interventions on health will also be evaluated through gene expression analysis in peripheral blood cells. The results of this study will contribute to a better understanding of the mechanisms behind the glucose response to physical exercise in a population with prediabetes as well as improve physical exercise prescriptions for diabetes prevention. Increasing glycaemic control in people with prediabetes through physical exercise offers an opportunity to prevent diabetes and reduce associated comorbidities and health costs.
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17
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Ma X, Li M, Liu L, Lei F, Wang L, Xiao W, Tan Y, He B, Ruan S. A randomized controlled trial of Baduanjin exercise to reduce the risk of atherosclerotic cardiovascular disease in patients with prediabetes. Sci Rep 2022; 12:19338. [PMID: 36369247 PMCID: PMC9651897 DOI: 10.1038/s41598-022-22896-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Accepted: 10/20/2022] [Indexed: 11/13/2022] Open
Abstract
To investigate the effectiveness of long-term Baduanjin and aerobic training on the 10-year risk of atherosclerotic cardiovascular disease in prediabetic patients. This study was single-blind randomized controlled trial. A total of 98 participants with prediabetes were randomly divided into three groups: the BDJ (n = 34), AT (n = 32), and control (n = 32) groups. Participants in the BDJ and AT groups underwent one year of supervised group exercise, consisting of 60 min/session every other day. The primary outcomes were metabolic control and the 10-year risk of ASCVD. The secondary outcome was a change in blood glucose status. After the intervention, various metabolic indexes were significantly improved in the two exercise groups relative to the control group and baseline measurements (p < 0.05). Compared with no exercise, BDJ and AT had significant preventive and protective effects against the risk of ASCVD in patients with prediabetes (p < 0.001). The overall effects of the two exercise groups were similar (p > 0.05). Long-term BDJ training can effectively reduce the risk of type 2 diabetes mellitus (T2DM) and its cardiovascular complications in prediabetic patients. The effect of BDJ is similar to that of moderate-intensity aerobic exercise.
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Affiliation(s)
- Xiaojun Ma
- School of Nursing, Shaoyang University, Shaoyang, 422000, Hunan Province, China
- Graduate School, Adamson University, 0900, Manila, Philippines
| | - Manlin Li
- School of Nursing, Shaoyang University, Shaoyang, 422000, Hunan Province, China
| | - Lin Liu
- School of Nursing, Yangzhou University, Yangzhou, 225009, Jiangsu Province, China
| | - Fenfang Lei
- School of Nursing, Shaoyang University, Shaoyang, 422000, Hunan Province, China
| | - Liduo Wang
- School of Nursing, Shaoyang University, Shaoyang, 422000, Hunan Province, China
| | - Wenyan Xiao
- School of Nursing, Shaoyang University, Shaoyang, 422000, Hunan Province, China
| | - Yingzi Tan
- School of Nursing, Shaoyang University, Shaoyang, 422000, Hunan Province, China
| | - Binghua He
- Department of Anesthesiology, Central Hospital of Shaoyang, Shaoyang City, 422000, Hunan Province, China.
| | - Sijie Ruan
- Department of Anesthesiology, Central Hospital of Shaoyang, Shaoyang City, 422000, Hunan Province, China.
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18
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Blonde L, Umpierrez GE, Reddy SS, McGill JB, Berga SL, Bush M, Chandrasekaran S, DeFronzo RA, Einhorn D, Galindo RJ, Gardner TW, Garg R, Garvey WT, Hirsch IB, Hurley DL, Izuora K, Kosiborod M, Olson D, Patel SB, Pop-Busui R, Sadhu AR, Samson SL, Stec C, Tamborlane WV, Tuttle KR, Twining C, Vella A, Vellanki P, Weber SL. American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update. Endocr Pract 2022; 28:923-1049. [PMID: 35963508 PMCID: PMC10200071 DOI: 10.1016/j.eprac.2022.08.002] [Citation(s) in RCA: 234] [Impact Index Per Article: 78.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 08/01/2022] [Accepted: 08/02/2022] [Indexed: 02/06/2023]
Abstract
OBJECTIVE The objective of this clinical practice guideline is to provide updated and new evidence-based recommendations for the comprehensive care of persons with diabetes mellitus to clinicians, diabetes-care teams, other health care professionals and stakeholders, and individuals with diabetes and their caregivers. METHODS The American Association of Clinical Endocrinology selected a task force of medical experts and staff who updated and assessed clinical questions and recommendations from the prior 2015 version of this guideline and conducted literature searches for relevant scientific papers published from January 1, 2015, through May 15, 2022. Selected studies from results of literature searches composed the evidence base to update 2015 recommendations as well as to develop new recommendations based on review of clinical evidence, current practice, expertise, and consensus, according to established American Association of Clinical Endocrinology protocol for guideline development. RESULTS This guideline includes 170 updated and new evidence-based clinical practice recommendations for the comprehensive care of persons with diabetes. Recommendations are divided into four sections: (1) screening, diagnosis, glycemic targets, and glycemic monitoring; (2) comorbidities and complications, including obesity and management with lifestyle, nutrition, and bariatric surgery, hypertension, dyslipidemia, retinopathy, neuropathy, diabetic kidney disease, and cardiovascular disease; (3) management of prediabetes, type 2 diabetes with antihyperglycemic pharmacotherapy and glycemic targets, type 1 diabetes with insulin therapy, hypoglycemia, hospitalized persons, and women with diabetes in pregnancy; (4) education and new topics regarding diabetes and infertility, nutritional supplements, secondary diabetes, social determinants of health, and virtual care, as well as updated recommendations on cancer risk, nonpharmacologic components of pediatric care plans, depression, education and team approach, occupational risk, role of sleep medicine, and vaccinations in persons with diabetes. CONCLUSIONS This updated clinical practice guideline provides evidence-based recommendations to assist with person-centered, team-based clinical decision-making to improve the care of persons with diabetes mellitus.
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Affiliation(s)
| | | | - S Sethu Reddy
- Central Michigan University, Mount Pleasant, Michigan
| | | | | | | | | | | | - Daniel Einhorn
- Scripps Whittier Diabetes Institute, La Jolla, California
| | | | | | - Rajesh Garg
- Lundquist Institute/Harbor-UCLA Medical Center, Torrance, California
| | | | | | | | | | | | - Darin Olson
- Colorado Mountain Medical, LLC, Avon, Colorado
| | | | | | - Archana R Sadhu
- Houston Methodist; Weill Cornell Medicine; Texas A&M College of Medicine; Houston, Texas
| | | | - Carla Stec
- American Association of Clinical Endocrinology, Jacksonville, Florida
| | | | - Katherine R Tuttle
- University of Washington and Providence Health Care, Seattle and Spokane, Washington
| | | | | | | | - Sandra L Weber
- University of South Carolina School of Medicine-Greenville, Prisma Health System, Greenville, South Carolina
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19
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Collins KA, Ross LM, Slentz CA, Huffman KM, Kraus WE. Differential Effects of Amount, Intensity, and Mode of Exercise Training on Insulin Sensitivity and Glucose Homeostasis: A Narrative Review. SPORTS MEDICINE - OPEN 2022; 8:90. [PMID: 35834023 PMCID: PMC9283590 DOI: 10.1186/s40798-022-00480-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 06/18/2022] [Indexed: 11/29/2022]
Abstract
As type 2 diabetes remains a leading cause of morbidity and mortality, identifying the most appropriate preventive treatment early in the development of disease is an important public health matter. In general, lifestyle interventions incorporating exercise and weight loss via caloric restriction improve cardiometabolic risk by impacting several key markers of insulin sensitivity and glucose homeostasis. However, variations in the effects of specific types of exercise interventions on these markers have led to conflicting results surrounding the optimal amount, intensity, and mode of exercise for optimal effects. Moreover, the addition of weight loss via caloric restriction to exercise interventions appears to differentially impact changes in body composition, metabolism, and insulin sensitivity compared to exercise alone. Determining the optimal amount, intensity, and mode of exercise having the most beneficial impact on glycemic status is both: (1) clinically important to provide guidelines for appropriate exercise prescription; and (2) physiologically important to understand the pathways by which exercise-with and without weight loss-impacts glycemic status to enhance precision lifestyle medicine. Thus, the purposes of this narrative review are to: (1) summarize findings from the three Studies of a Targeted Risk Reduction Intervention through Defined Exercise (STRRIDE) randomized trials regarding the differential effects of exercise amount, intensity, and mode on insulin action and glucose homeostasis markers; and (2) compare the STRRIDE findings to other published dose-response exercise trials in order to piece together the various physiologic pathways by which specific exercise interventions-with or without weight loss-impact glycemic status.
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Affiliation(s)
- Katherine A Collins
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - Leanna M Ross
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA.
| | - Cris A Slentz
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - Kim M Huffman
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - William E Kraus
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
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20
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Sarker A, Das R, Ether S, Shariful Islam M, Saif-Ur-Rahman KM. Non-pharmacological interventions for the prevention of type 2 diabetes in low-income and middle-income countries: a systematic review of randomised controlled trials. BMJ Open 2022; 12:e062671. [PMID: 35667728 PMCID: PMC9171210 DOI: 10.1136/bmjopen-2022-062671] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
OBJECTIVE Diabetes poses serious health threats and economic burdens to patients, especially in low-income and middle-income countries (LMICs). This systematic review searches for non-pharmacological interventions for the prevention of type-2 diabetes mellitus (T2DM) among patients who are non-diabetic and pre-diabetic from LMICs. SETTINGS LMICs. PARTICIPANTS Adult population aged over 18 years without having diabetes. PRIMARY AND SECONDARY OUTCOMES Primary outcome is to measure the change in the incidence of T2DM. The secondary outcome is to measure changes in glycated haemoglobin (HbA1c) level, weight/body mass index (BMI), fasting glucose level and 2-hour glucose from baseline of the included randomised controlled trials. METHODS This review has been conducted following the standard systematic review guidelines. A total of six electronic databases including MEDLINE, Embase, the Cochrane Library, Web of Science, ClinicalTrials.gov and International Clinical Trials Registry Platform were searched in February 2021 using a comprehensive search strategy.Two sets of independent reviewers performed screening, risk of bias (ROB) assessment using the Cochrane ROB tool and data extraction. Narrative coalescence of selected articles was demonstrated using tables. No meta-analysis was performed due to the lack of homogenous intervention strategies and study settings. RESULT A total of five studies were included for the review with a combined population of 1734 from three countries. Three of the studies showed a significant reduction in T2DM incidence after the intervention of physical training and dietary modifications. Four of the studies also demonstrated a significant reduction of different secondary outcomes like weight, BMI, fasting and 2-hour plasma glucose and HbA1c. All the studies demonstrated a low ROB in most of the bias assessment domains with some unclear results in allocation concealments. CONCLUSIONS Emphasising non-pharmacological interventions for T2DM prevention can improve health outcomes and lessen the economic burdens, which will be of paramount importance in LMICs. SYSTEMATIC REVIEW REGISTRATION NUMBER CRD42020191507.
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Affiliation(s)
- Anupam Sarker
- Institute of Epidemiology Disease Control and Research, Dhaka, Bangladesh
- Department of Computer Science, Georgia State University, Atlanta, Georgia, USA
| | - Rina Das
- Nutrition and Clinical Services Division, icddr,b, Dhaka, Bangladesh
| | - Saraban Ether
- Maternal and Child Health Division, icddr,b, Dhaka, Bangladesh
| | | | - K M Saif-Ur-Rahman
- Health Systems and Population Studies Division, icddr,b, Dhaka, Bangladesh
- College of Medicine, Nursing and Health Sciences, National University of Ireland, Galway, Ireland
- Evidence Synthesis Ireland and Cochrane Ireland, Galway, Ireland
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21
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He Y, Feng Y, Shi J, Tang H, Chen L, Lou Q. β-cell function and body mass index are predictors of exercise response in elderly patients with pre-diabetes. J Diabetes Investig 2022; 13:1253-1261. [PMID: 35191202 PMCID: PMC9248431 DOI: 10.1111/jdi.13777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 01/28/2022] [Accepted: 02/20/2022] [Indexed: 11/27/2022] Open
Abstract
Aims/Introduction To explore the predicting factors of exercise response (whether the participants converted to diabetes) in elderly patients with prediabetes. Materials and Methods This is a retrospective subgroup analysis of the registered clinical trial with previous publication of the same cohort. A total of 248 participants with prediabetes were randomized to the aerobic training (n = 83) group, resistance training (n = 82) group and control group (n = 83). The patients who finished the 2‐year exercise intervention were included in this analysis to explore the factors impacting exercise response. Results A total of 113 patients with prediabetes completed 2 years of exercise, with 56 participants in the aerobic exercise group and 57 in the resistance exercise group. Patients who reversed to normal glucose tolerance, remained in prediabetes and developed diabetes were 18 (15.90%), 70 (62.00%) and 25 (22.10%), respectively. Logistic regression showed that baseline, homeostatic model 2 assessment of β‐cell function (β = −0.143, P = 0.039), hemoglobin A1c (β = 3.301, P = 0.007) and body mass index (β = 0.402, P = 0.012) were related to exercise response, whereas the waist‐to‐hip ratio (β = −3.277, P = 0.693) and types of exercise (β = 1.192, P = 0.093) were not significantly related to exercise response. Conclusions Baseline homeostatic model 2 assessment of β‐cell function, hemoglobin A1c and body mass index were the predictors for the response to exercise in elderly patients with prediabetes.
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Affiliation(s)
- Yali He
- Taiyuan Diabetes Hospital, Taiyuan, 030000, Shanxi, China
| | - Yanhong Feng
- Taiyuan Diabetes Hospital, Taiyuan, 030000, Shanxi, China
| | - Junli Shi
- Taiyuan Diabetes Hospital, Taiyuan, 030000, Shanxi, China
| | - Hong Tang
- Chengdu Ruien Diabetes Hospital, Chendu, 610000, Sichuan, China
| | - Linhui Chen
- Taiyuan Diabetes Hospital, Taiyuan, 030000, Shanxi, China
| | - Qingqing Lou
- The First Affiliated Hospital of Hainan Medical University, Haikou, 570102, Hainan, China.,Beijing Ruijing Diabetes Hospital, Beijing, 100000, China
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22
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3. Prevention or Delay of Type 2 Diabetes and Associated Comorbidities: Standards of Medical Care in Diabetes-2022. Diabetes Care 2022; 45:S39-S45. [PMID: 34964876 DOI: 10.2337/dc22-s003] [Citation(s) in RCA: 76] [Impact Index Per Article: 25.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc22-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc22-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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23
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The Association between Trajectories of Anthropometric Variables and Risk of Diabetes among Prediabetic Chinese. Nutrients 2021; 13:nu13124356. [PMID: 34959908 PMCID: PMC8706558 DOI: 10.3390/nu13124356] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 11/28/2021] [Accepted: 11/28/2021] [Indexed: 11/17/2022] Open
Abstract
In order to explore the association between trajectories of body mass index (BMI) and mid-upper arm circumference (MUAC) and diabetes and to assess the effectiveness of the models to predict diabetes among Chinese prediabetic people, we conducted this study. Using a national longitudinal study, 1529 cases were involved for analyzing the association between diabetes and BMI trajectories or MUAC trajectories. Growth mixture modeling was conducted among the prediabetic Chinese population to explore the trajectories of BMI and MUAC, and logistic regression was applied to evaluate the association between these trajectories and the risk of diabetes. The receiver operating characteristic curve (ROC) and the area under the curve (AUC) were applied to assess the feasibility of prediction. BMI and MUAC were categorized into 4-class trajectories, respectively. Statistically significant associations were observed between diabetes in certain BMI and MUAC trajectories. The AUC for trajectories of BMI and MUAC to predict diabetes was 0.752 (95% CI: 0.690-0.814). A simple cross-validation using logistic regression indicated an acceptable efficiency of the prediction. Diabetes prevention programs should emphasize the significance of body weight control and maintaining skeletal muscle mass and resistance training should be recommended for prediabetes.
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24
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Chen X, Zhao S, Hsue C, Dai X, Liu L, Miller JD, Fang Z, Feng J, Huang Y, Wang X, Lou Q. Effects of aerobic training and resistance training in reducing cardiovascular disease risk for patients with prediabetes: A multi-center randomized controlled trial. Prim Care Diabetes 2021; 15:1063-1070. [PMID: 34649825 DOI: 10.1016/j.pcd.2021.08.013] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Revised: 08/17/2021] [Accepted: 08/24/2021] [Indexed: 11/20/2022]
Abstract
AIMS Aerobic training (AT) and resistance training (RT) can reduce blood glucose and type 2 diabetes risk, and increase muscle mass for prediabetes patients. However, the impact of long-term AT and RT on cardiovascular disease (CVD) risk remains unclear. The purpose of this study was to investigate the impact of AT and RT on CVD risk reduction in prediabetes patients. MATERIALS AND METHODS 248 prediabetes patients were enrolled in this multi-center randomized controlled trial (RCT). Patients were randomly divided into 3 groups: RT (n = 82), aerobic training (AT (n = 83)), and control group (n = 83). Participants in RT and AT groups had moderate RT or AT 3 times a week (150 min/week) under supervision in 3 research centers for 24 months. Primary outcome was CVD risk measured by Framingham Risk Score (FRS) and The Chinese 10-year ischemic cardiovascular disease (ICVD) risk assessment tool. Secondary outcomes included in HOMA2-IR, HbA1c, blood pressure and serum lipid profile. RESULTS Both RT and AT groups experienced a significant reduction in HOMA2-IR, HbA1c, LDL-C, TC, SBP, and DBP at the end of 12 and 24 months. Compared to the control group, Both RT and AT groups had significant reduction of the Chinese 10-year ICVD risk (P < 0.05), but FRS CVD risk declined significantly only in the AT group (all P < 0.05). Although FRS CVD risk decreased more in the RT group than in the control group, the difference was not statistically significant. After adjusting for age, gender, statin use, BMI, and WHR, in COX's proportional hazard model, RT (HR = 0.419, P = 0.037) and AT (HR = 0.310, P = 0.026) were protective factors for CVD risk in prediabetes patients. 24-month RT and AT decreased respectively 58.1% and 69.0% of CVD risk (10-year ICVD risk assessment) in prediabetes patients. CONCLUSIONS This study demonstrated that 24-month moderate AT reduces the Chinese 10-year ICVD risk and FRS CVD risk in prediabetes patients. RT groups had significant reduction of CVD risk (10-year ICVD risk assessment) in prediabetes patients. TRIAL REGISTRATION Clinical trial registration number: NCT02561377. DATE OF REGISTRATION 24/09/2015.
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Affiliation(s)
- Xue Chen
- Hainan General Hospital, Haikou, Hainan, China; Jiangsu College of Nursing, Huai'an, Jiangsu, China
| | - Songqing Zhao
- Huai'an Hospital Affiliated to Nanjing Medical University, China
| | - Cunyi Hsue
- University of Massachusetts Amherst, USA
| | - Xia Dai
- The First Affiliated Hospital of Guangxi Medical University, China
| | | | | | - Zhaohui Fang
- The First Affiliated Hospital of Anhui University of Chinese Medicine, China
| | - Jitao Feng
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Yong Huang
- Danyang People's Hospital of Jiangsu Province, China
| | - Xindong Wang
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
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25
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Wood G, Taylor E, Ng V, Murrell A, Patil A, van der Touw T, Sigal R, Wolden M, Smart N. Determining the effect size of aerobic exercise training on the standard lipid profile in sedentary adults with three or more metabolic syndrome factors: a systematic review and meta-analysis of randomised controlled trials. Br J Sports Med 2021; 56:bjsports-2021-103999. [PMID: 34193471 DOI: 10.1136/bjsports-2021-103999] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/04/2021] [Indexed: 12/17/2022]
Abstract
OBJECTIVES To estimate the change in the standard lipid profile (SLP) of adults diagnosed with ≥3 metabolic syndrome (MetS) factors following aerobic exercise training (AET); and to investigate whether study/intervention covariates are associated with this change. DESIGN Systematic review with univariate meta-analysis and meta-regression. DATA SOURCES English language searches of online databases from inception until July 2020. ELIGIBILITY CRITERIA: (1) Published randomised controlled human trials with study population ≥10 per group; (2) sedentary adults with ≥3 MetS factors but otherwise free of chronic disease, not pregnant/lactating; (3) AET-only intervention with duration ≥12 weeks; and (4) reporting pre-post intervention SLP outcomes. RESULTS Various univariate meta-analyses pooled 48 data sets of 2990 participants. Aerobic exercise training significantly (P<.001) improved all lipids (mmol/L mean difference ranges, 95% CIs): total cholesterol, -0.19 (-0.26 to -0.12) to -0.29 (-0.36 to -0.21); triglycerides, -0.17 (-0.19 to -0.14) to -0.18 (-0.24 to -0.13); high-density lipoprotein-cholesterol (HDL-C), 0.05 (0.03 to 0.07) to 0.10 (0.05 to 0.15); and low-density lipoprotein-cholesterol (LDL-C), -0.12 (-0.16 to -0.9) to -0.20 (-0.25 to -0.14). Meta-regression showed that intensity may explain change in triglycerides and volume may explain change in HDL-C and LDL-C. CONCLUSION Aerobic exercise training positively changes the SLP of sedentary and otherwise healthy adults with ≥3 MetS factors. Adjusting AET intervention training variables may increase the effects of AET on triglycerides and HDL-C. PROSPERO REGISTRATION NUMBER CRD42020151925.
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Affiliation(s)
- Gina Wood
- School of Physiotherapy and Exercise Science, Curtin University Faculty of Health Sciences, Perth, Western Australia, Australia
- School of Science and Technology, University of New England School of Science and Technology, Armidale, New South Wales, Australia
| | - Emily Taylor
- School of Science and Technology, University of New England School of Science and Technology, Armidale, New South Wales, Australia
| | - Vanessa Ng
- School of Rural Medicine, Faculty of Medicine and Health, University of New England, Armidale, New South Wales, Australia
| | - Anna Murrell
- School of Rural Medicine, University of New England, Armidale, New South Wales, Australia
| | - Aditya Patil
- School of Science and Technology, University of New England School of Science and Technology, Armidale, New South Wales, Australia
| | - Tom van der Touw
- School of Science and Technology, University of New England School of Science and Technology, Armidale, New South Wales, Australia
| | - Ronald Sigal
- Division of Endocrinology and Metabolism, University of Calgary Cumming School of Medicine, Calgary, Alberta, Canada
| | - Mitch Wolden
- Physical Therapy, University of Jamestown, Jamestown, North Dakota, USA
| | - Neil Smart
- School of Science and Technology, University of New England School of Science and Technology, Armidale, New South Wales, Australia
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26
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Lee EB, Hong S, Min J, Park DH, Cho W, Suh SH, Lee HD, Lee HJ, Kimm H, Jee SH, Kang ES, Lee DH, Jeon JY. Association between domain-specific physical activity and diabetes in Korean adults. Sci Rep 2021; 11:13066. [PMID: 34158561 PMCID: PMC8219728 DOI: 10.1038/s41598-021-92560-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Accepted: 06/08/2021] [Indexed: 12/15/2022] Open
Abstract
This study aimed to investigate the association between domain-specific physical activity (PA) and diabetes in Korean adults. We analyzed 26,653 men and women (aged > 18 years) from the Korea National Health and Nutrition Examination Survey (2014–2018). PA was measured using a validated Global PA Questionnaire. Multivariable logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) after adjustment for various confounders. Transport PA accounted for the majority of total PA (46%, men; 58%, women), followed by leisure-time PA (30%; 22%) and work PA (24%; 20%). In men, ORs (95% CI) of diabetes comparing ≥ 600 metabolic task of equivalent (MET)-min/week vs. no activity were 0.82 (0.71–0.95) for leisure-time PA, 0.85 (0.75–0.96) for transport PA, and 0.88 (0.78–0.99) for leisure-time + transport PA. In women, ORs (95% CI) of diabetes comparing the same groups were 0.73 (0.60–0.89) for leisure-time PA, 0.97 (0.85–1.10) for transport PA, and 0.88 (0.78–1.00) for leisure-time + transport PA. However, work PA showed no association with diabetes. In conclusion, leisure-time PA was inversely associated with diabetes in both men and women, while transport PA was inversely associated only in men. But work PA was not associated with diabetes in Korean adults.
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Affiliation(s)
- Eun-Byeol Lee
- Department of Sport Industry Studies, Yonsei University, 50 Yonseiro, Seodaemun-gu, Seoul, 03722, South Korea.,Exercise Medicine Center for Diabetes and Cancer Patients, ICONS, Yonsei University, Seoul, South Korea.,Frontier Research Institute of Convergence Sports Science, Yonsei University, Seoul, South Korea
| | - Sunghyun Hong
- Department of Sport Industry Studies, Yonsei University, 50 Yonseiro, Seodaemun-gu, Seoul, 03722, South Korea.,Exercise Medicine Center for Diabetes and Cancer Patients, ICONS, Yonsei University, Seoul, South Korea
| | - Jihee Min
- Department of Sport Industry Studies, Yonsei University, 50 Yonseiro, Seodaemun-gu, Seoul, 03722, South Korea.,Exercise Medicine Center for Diabetes and Cancer Patients, ICONS, Yonsei University, Seoul, South Korea
| | - Dong-Hyuk Park
- Department of Sport Industry Studies, Yonsei University, 50 Yonseiro, Seodaemun-gu, Seoul, 03722, South Korea.,Exercise Medicine Center for Diabetes and Cancer Patients, ICONS, Yonsei University, Seoul, South Korea
| | - Wonhee Cho
- Department of Sport Industry Studies, Yonsei University, 50 Yonseiro, Seodaemun-gu, Seoul, 03722, South Korea.,Exercise Medicine Center for Diabetes and Cancer Patients, ICONS, Yonsei University, Seoul, South Korea
| | - Sang-Hoon Suh
- Frontier Research Institute of Convergence Sports Science, Yonsei University, Seoul, South Korea.,Department of Physical Education, Yonsei University, Seoul, South Korea
| | - Hae-Dong Lee
- Frontier Research Institute of Convergence Sports Science, Yonsei University, Seoul, South Korea.,Department of Physical Education, Yonsei University, Seoul, South Korea
| | - Han-Joo Lee
- Frontier Research Institute of Convergence Sports Science, Yonsei University, Seoul, South Korea.,Department of Physical Education, Yonsei University, Seoul, South Korea
| | - Heejin Kimm
- Frontier Research Institute of Convergence Sports Science, Yonsei University, Seoul, South Korea.,Graduate School of Public Health, Institute for Health Promotion, Yonsei University, Seoul, South Korea
| | - Sun Ha Jee
- Exercise Medicine Center for Diabetes and Cancer Patients, ICONS, Yonsei University, Seoul, South Korea.,Frontier Research Institute of Convergence Sports Science, Yonsei University, Seoul, South Korea.,Graduate School of Public Health, Institute for Health Promotion, Yonsei University, Seoul, South Korea
| | - Eun Seok Kang
- Frontier Research Institute of Convergence Sports Science, Yonsei University, Seoul, South Korea.,Department of Internal Medicine, Yonsei University College of Medicine, Seoul, South Korea
| | - Dong Hoon Lee
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
| | - Justin Y Jeon
- Department of Sport Industry Studies, Yonsei University, 50 Yonseiro, Seodaemun-gu, Seoul, 03722, South Korea. .,Exercise Medicine Center for Diabetes and Cancer Patients, ICONS, Yonsei University, Seoul, South Korea. .,Frontier Research Institute of Convergence Sports Science, Yonsei University, Seoul, South Korea.
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27
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Qadir R, Sculthorpe NF, Todd T, Brown EC. Effectiveness of Resistance Training and Associated Program Characteristics in Patients at Risk for Type 2 Diabetes: a Systematic Review and Meta-analysis. SPORTS MEDICINE - OPEN 2021; 7:38. [PMID: 34050828 PMCID: PMC8164651 DOI: 10.1186/s40798-021-00321-x] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 04/18/2021] [Indexed: 12/15/2022]
Abstract
BACKGROUND Resistance training (RT) is an effective intervention for glycemic control and cardiometabolic health in individuals with type 2 diabetes (T2D). However, the use of RT in individuals at risk for T2D to prevent or delay the onset of T2D, and RT program characteristics that are most effective are still unknown. The purpose of this review is to determine the effects of RT on cardiometabolic risk factors in those at risk for T2D and to examine RT program characteristics associated with intervention effectiveness. METHODS PubMed, Cochrane, Web of Science, and Embase databases were systematically searched for published controlled trials that compared cardiometabolic outcomes in adults with cardiometabolic risk for those that underwent an RT intervention with those that did not. A systematic review and meta-analysis was conducted to determine the effect of RT on glycosylated hemoglobin (HbA1c), fasting plasma glucose (FPG), body fat percentage (BF%), total cholesterol (TC), high-density lipoprotein (HDL), low-density lipoprotein (LDL), and triglycerides (TG). Additional analyses examined effects of intervention duration and dietary intervention on FPG and TG. RESULTS Fourteen trials with 668 participants were included. For RT compared to controls, the standardized mean difference (SMD) was -1.064 for HbA1c (95% confidence interval [CI] -1.802 to -0.327; p=0.005), -0.99 for FPG (95% CI -1.798 to -0.183; p=0.016), -0.933 for TC (95% CI -1.66 to -0.206; p=0.012), -0.840 for BF% (95% CI -1.429 to -0.251; p=0.005), -0.693 for HDL (95% CI -1.230 to -0.156; p=0.011), -1.03 for LDL (95% CI -2.03 to -0.050; p=0.039), and -0.705 for TG (95% CI -1.132 to -0.279; p=0.001). CONCLUSIONS RT is beneficial for improving glycemic control, BF%, and blood lipids in those at risk for diabetes. The addition of a dietary component did not result in larger reductions in FPG and TG than RT alone. PROSPERO REGISTRATION ID CRD42019122217.
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Affiliation(s)
- Raza Qadir
- Oakland University William Beaumont School of Medicine, 586 Pioneer Dr, Rochester, MI, 48309, USA.
| | - Nicholas F Sculthorpe
- Institute of Clinical Exercise and Health Science, University of the West of Scotland, Lanarkshire, UK
| | - Taylor Todd
- School of Health Sciences, Oakland University, Rochester, MI, 48309, USA
| | - Elise C Brown
- School of Health Sciences, Oakland University, Rochester, MI, 48309, USA
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28
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Liu L, Ma X, Xu H, Ruan S, Yuan X. Comparing the effects of 12 months aerobic exercise and resistance training on glucose metabolism among prediabetes phenotype: A explorative randomized controlled trial. Prim Care Diabetes 2021; 15:340-346. [PMID: 33309489 DOI: 10.1016/j.pcd.2020.11.003] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Revised: 10/05/2020] [Accepted: 11/05/2020] [Indexed: 01/19/2023]
Abstract
AIMS The pathophysiology of each phenotype of prediabetes is unique that promotes different levels of diabetes and cardiovascular disease risks. Exercise guidelines for individuals with prediabetes including both aerobic and resistance training could improve metabolic control, but its effects on different prediabetes subtypes are unclear. The aim of this explorative randomized controlled trial was to evaluate the effects of aerobic training (AT) or resistance training (RT) on glucose metabolism and lipid profile by different prediabetes subtypes with. METHODS A randomized controlled trial in which 128 individuals with isolated impaired fasting glucose (i-IFG; n = 39), isolated impaired glucose tolerance (i-IGT; n = 29), combined glucose tolerance (CGI; n = 27) and isolated elevated HbA1c (n = 33) were randomly assigned to the control group, AT group and RT group, respectively. Supervised exercise training, including AT and RT were completed at moderate intensity for 60 min per day, three non-consecutive days per week for 12 months. The primary outcome was improvement in glucose metabolism. Secondary outcomes included measure of lipid profile and if these effects were moderated by the prediabetes phenotype. RESULTS Of the initial 128 participants, 118 finished the study, but all participants were included in the intention-to-treat analyses. The improvement in 2 h postprandial plasma glucose (2 hPG) between group difference (AT vs. RT) at 12 months was 0.87 (95% CI, -1.59 to-0.16; p < 0.05). Compared with RT group, AT significantly decreased the 2hPG in participants with i-IGT at 12 months (-1.66, 95% CI -3.04 to -0.28; p < 0.05). CONCLUSIONS AT program conferred benefits in improving 2 h PG and HbA1c compared with RT for prediabetes. These findings may moderate by prediabetes phenotype, and AT appeared more effective in i-IGT. A future trial with large sample size and long time follow up of prediabetes phenotype groups are needed.
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Affiliation(s)
- Lin Liu
- Yangzhou University, 136 Jiangyang Road, Yangzhou, 225009 PR China.
| | - Xiaojun Ma
- Shaoyang University, Meizijing Campus, Xueyuan Road, Daxiang District, Shaoyang City, 422000 PR China.
| | - Huiwen Xu
- Yangzhou University, 136 Jiangyang Road, Yangzhou, 225009 PR China; Nagano College of Nursing, Komagane, Nagano, 399-4117 Japan
| | - Sijie Ruan
- Central Hospital of Shaoyang, 36 Qianyuan Lane, Daxiang District, Shaoyang City, 422000 PR China
| | - Xiaodan Yuan
- Jiangsu Province Academy of Traditional Chinese Medicine, #100 Hongshan Road, Qixia District Nanjing, 210028 PR China.
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Abstract
The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc21-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc21-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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30
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Al Rifai M, Shapiro MD. A multifaceted approach for management of prediabetes and its associated cardiovascular risk. Diabetes Metab Res Rev 2020; 36:e3314. [PMID: 32223056 DOI: 10.1002/dmrr.3314] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Revised: 03/16/2020] [Accepted: 03/17/2020] [Indexed: 12/31/2022]
Affiliation(s)
- Mahmoud Al Rifai
- Department of Medicine, Section of Cardiology, Baylor College of Medicine, Houston, Texas, USA
| | - Michael D Shapiro
- Center for Prevention of Cardiovascular Disease, Section on Cardiovascular Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
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31
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Yuan X, Dai X, Liu L, Hsue C, Miller JD, Fang Z, Li J, Feng J, Huang Y, Liu C, Shen J, Chen T, Liu Y, Mordes J, Lou Q. Comparing the effects of 6 months aerobic exercise and resistance training on metabolic control and β-cell function in Chinese patients with prediabetes: A multicenter randomized controlled trial. J Diabetes 2020; 12:25-37. [PMID: 31141300 DOI: 10.1111/1753-0407.12955] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2019] [Revised: 05/15/2019] [Accepted: 05/26/2019] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND It is clear that aerobic training (AT) can delay pancreatic exhaustion and slow the progression from prediabetes to type 2 diabetes (T2D), but there is little information regarding the effects of resistance training (RT) in people with prediabetes. This study compared the effectiveness of RT and AT in improving metabolic control and protecting β-cell function in people with prediabetes. METHODS Chinese subjects (n = 248) with prediabetes were randomized to three groups: AT (n = 83), RT (n = 82) and control (n = 83). Subjects in the RT group performed 13 different resistance exercises per session using an elastic string. Those in the AT group performed aerobic exercises at 60%-70% of maximum heart rate. In both cases, exercises were performed three times per week for a period of 6 months. The primary outcome was improvement in metabolic control. Longitudinal changes between groups were tested using repeated-measures analysis of variance. RESULTS Of the initial 248 participants, 217 finished the study, but all participants were included in the intention-to-treat analyses. There were no significant differences in demographic characteristics among the RT, AT, and control groups (P > 0.05). Changes in HbA1c were not significantly greater in RT than AT cohort (P = 0.059), but the decrease in HbA1c in both exercise groups was higher than in the control group (P < 0.05). CONCLUSIONS In subjects with prediabetes, RT appears to improve metabolic control and preserve β-cell function comparable to AT.
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Affiliation(s)
- Xiaodan Yuan
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Xia Dai
- The First Affiliated Hospital of Guangxi Medical University, Guangxi, China
| | - Lin Liu
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
- Department of Nursing, Yangzhou University, Yangzhou, China
| | - Cunyi Hsue
- Department of Nature Science, University of Massachusetts Amherst, Amherst, Massachusetts
| | | | - Zhaohui Fang
- The First Affiliated Hospital of Anhui University of Chinese Medicine, Anhui, China
| | - Jianing Li
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Jitao Feng
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Yong Huang
- Danyang People's Hospital of Jiangsu Province, Danyang, China
| | - Chao Liu
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Jianping Shen
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Tao Chen
- Liverpool School of Tropical Medicine, Liverpool, UK
| | - Yanjun Liu
- Lanzhou Ruijing Diabetes Hospital, Lanzhou, China
| | - John Mordes
- University of Massachusetts Medical School, Worcester, Massachusetts
| | - Qingqing Lou
- Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
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32
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Abstract
The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc20-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc20-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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33
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Mesinovic J, Zengin A, De Courten B, Ebeling PR, Scott D. Sarcopenia and type 2 diabetes mellitus: a bidirectional relationship. Diabetes Metab Syndr Obes 2019. [PMID: 31372016 DOI: 10.2147/dmso.s186600[publishedonlinefirst:2019/08/03]] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
The incidence and prevalence of metabolic and musculoskeletal diseases are increasing. Type 2 diabetes mellitus (T2DM) is characterized by insulin resistance, inflammation, advanced glycation end-product accumulation and increased oxidative stress. These characteristics can negatively affect various aspects of muscle health, including muscle mass, strength, quality and function through impairments in protein metabolism, vascular and mitochondrial dysfunction, and cell death. Sarcopenia is a term used to describe the age-related loss in skeletal muscle mass and function and has been implicated as both a cause and consequence of T2DM. Sarcopenia may contribute to the development and progression of T2DM through altered glucose disposal due to low muscle mass, and also increased localized inflammation, which can arise through inter- and intramuscular adipose tissue accumulation. Lifestyle modifications are important for improving and maintaining mobility and metabolic health in individuals with T2DM and sarcopenia. However, evidence for the most effective and feasible exercise and dietary interventions in this population is lacking. In this review, we discuss the current literature highlighting the bidirectional relationship between T2DM and sarcopenia, highlight current research gaps and treatments, and provide recommendations for future research.
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Affiliation(s)
- Jakub Mesinovic
- Department of Medicine, School of Clinical Sciences at Monash Health, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Melbourne, VIC, Australia
| | - Ayse Zengin
- Department of Medicine, School of Clinical Sciences at Monash Health, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Melbourne, VIC, Australia
| | - Barbora De Courten
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Melbourne, VIC, Australia
| | - Peter R Ebeling
- Department of Medicine, School of Clinical Sciences at Monash Health, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Melbourne, VIC, Australia
- Australian Institute for Musculoskeletal Science (AIMSS), Department of Medicine - Western Health, Melbourne Medical School, The University of Melbourne, St Albans, Melbourne, VIC, Australia
| | - David Scott
- Department of Medicine, School of Clinical Sciences at Monash Health, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Melbourne, VIC, Australia
- Australian Institute for Musculoskeletal Science (AIMSS), Department of Medicine - Western Health, Melbourne Medical School, The University of Melbourne, St Albans, Melbourne, VIC, Australia
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34
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Mesinovic J, Zengin A, De Courten B, Ebeling PR, Scott D. Sarcopenia and type 2 diabetes mellitus: a bidirectional relationship. Diabetes Metab Syndr Obes 2019; 12:1057-1072. [PMID: 31372016 PMCID: PMC6630094 DOI: 10.2147/dmso.s186600] [Citation(s) in RCA: 331] [Impact Index Per Article: 55.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2019] [Accepted: 05/07/2019] [Indexed: 12/05/2022] Open
Abstract
The incidence and prevalence of metabolic and musculoskeletal diseases are increasing. Type 2 diabetes mellitus (T2DM) is characterized by insulin resistance, inflammation, advanced glycation end-product accumulation and increased oxidative stress. These characteristics can negatively affect various aspects of muscle health, including muscle mass, strength, quality and function through impairments in protein metabolism, vascular and mitochondrial dysfunction, and cell death. Sarcopenia is a term used to describe the age-related loss in skeletal muscle mass and function and has been implicated as both a cause and consequence of T2DM. Sarcopenia may contribute to the development and progression of T2DM through altered glucose disposal due to low muscle mass, and also increased localized inflammation, which can arise through inter- and intramuscular adipose tissue accumulation. Lifestyle modifications are important for improving and maintaining mobility and metabolic health in individuals with T2DM and sarcopenia. However, evidence for the most effective and feasible exercise and dietary interventions in this population is lacking. In this review, we discuss the current literature highlighting the bidirectional relationship between T2DM and sarcopenia, highlight current research gaps and treatments, and provide recommendations for future research.
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Affiliation(s)
- Jakub Mesinovic
- Department of Medicine, School of Clinical Sciences at Monash Health, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Melbourne, VIC, Australia
- Correspondence: Jakub MesinovicDepartment of Medicine, School of Clinical Sciences at Monash Health, Faculty of Medicine, Nursing and Health Sciences, Monash University, 246 Clayton Road, Clayton, Victoria3068, AustraliaTel + 6 138 572 2919Fax + 6 139 594 6495Email
| | - Ayse Zengin
- Department of Medicine, School of Clinical Sciences at Monash Health, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Melbourne, VIC, Australia
| | - Barbora De Courten
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Melbourne, VIC, Australia
| | - Peter R Ebeling
- Department of Medicine, School of Clinical Sciences at Monash Health, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Melbourne, VIC, Australia
- Australian Institute for Musculoskeletal Science (AIMSS), Department of Medicine - Western Health, Melbourne Medical School, The University of Melbourne, St Albans, Melbourne, VIC, Australia
| | - David Scott
- Department of Medicine, School of Clinical Sciences at Monash Health, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Melbourne, VIC, Australia
- Australian Institute for Musculoskeletal Science (AIMSS), Department of Medicine - Western Health, Melbourne Medical School, The University of Melbourne, St Albans, Melbourne, VIC, Australia
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