ABSTRACT
BACKGROUND: COVID-19, an infectious disease pandemic, affected millions of people globally, resulting in high morbidity and mortality. Causing further concern, significant proportions of COVID-19 survivors endure the lingering health effects of SARS-CoV-2, the pathogen that causes COVID-19. One of the diseases manifesting as a postacute sequela of COVID-19 (also known as "long COVID") is new-onset diabetes. OBJECTIVE: The aim of this study is to examine the incidence of new-onset diabetes in patients with long COVID and assess the excess risk compared with individuals who tested negative for COVID-19. The study also aims to estimate the population-attributable fraction for COVID-19 as a risk factor for new-onset diabetes in long COVID and investigate the clinical course of new-onset diabetes cases. METHODS: This is a protocol for a systematic review and meta-analysis. PubMed, MEDLINE, Embase, Scopus, and Web of Science databases will be systematically searched to identify articles published between December 2019 and July 2024. A comprehensive search strategy for each database will be developed using a combination of Medical Subject Headings terms, subject headings, and text words to identify eligible studies. Cohort studies and randomized controlled trials (only control arms) involving patients with COVID-19 of any age, with follow-up data on new-onset diabetes in long COVID, will be considered for inclusion. Controls will comprise individuals who tested negative for COVID-19, with or without other respiratory tract infections. Three independent reviewers (AST, NB, and TT) will perform article selection, data extraction, and quality assessment of the studies. A fourth reviewer (ST) will review the identified studies for final inclusion in the analysis. The random-effects DerSimonian-Laird models will be used to estimate the pooled incidence proportion (%), incidence rate of diabetes (per 1000 person-years), and risk ratio (with 95% CIs) for diabetes incidence. RESULTS: A total of 1972 articles were identified through the initial search conducted in August 2023. After excluding duplicates, conducting title and abstract screening, and completing full-text reviews, 41 articles were found to be eligible for inclusion. The search will be updated in July 2024. Currently, data extraction is underway, and the meta-analysis is expected to be completed in August 2024. Publication of the study findings is anticipated by the end of 2024. CONCLUSIONS: The study findings should provide valuable insights to inform both clinical practice and public health policies regarding the effective management of new-onset diabetes in patients with long COVID. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/54853.
Subject(s)
COVID-19 , Diabetes Mellitus , Meta-Analysis as Topic , Systematic Reviews as Topic , Humans , COVID-19/epidemiology , Incidence , Diabetes Mellitus/epidemiology , Cohort Studies , Risk Factors , SARS-CoV-2 , PandemicsABSTRACT
BACKGROUND: Individuals at high risk for type 2 diabetes are also at an increased risk for developing cardiovascular disease (CVD). Although there are separate trials examining the effects of lifestyle interventions on absolute CVD risk among people at high risk for type 2 diabetes, a comprehensive evidence synthesis of these trials is lacking. OBJECTIVE: We will systematically synthesize the evidence on the effects of lifestyle interventions in reducing absolute CVD risk and CVD risk factors among people at high risk for type 2 diabetes. METHODS: We adhered to the PRISMA-P (Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols) statement in reporting the details of this protocol. Randomized controlled trials of diabetes prevention that examined the effects of lifestyle interventions for at least 6 months on absolute CVD risk and CVD risk factors among individuals at high risk for type 2 diabetes will be eligible. We will systematically search the MEDLINE, Embase, PsycINFO, CENTRAL, and Scopus databases and ClinicalTrials.gov using a mix of Medical Subject Headings and text words. Two authors will independently screen the abstract and title of the articles retrieved from the search, followed by full-text reviews using the inclusion and exclusion criteria and data extraction from the eligible studies. Article screening and data extraction will be performed in the Covidence software. The primary outcome will be the changes in absolute 10-year CVD risk, as estimated by risk prediction models. The secondary outcomes are the changes in CVD risk factors, including behavioral, clinical, biochemical, and psychosocial risk factors, and incidence of type 2 diabetes. RESULTS: An initial database search was conducted in July 2023. After screening 1935 articles identified through the database search, 42 articles were considered eligible for inclusion. It is anticipated that the study findings will be submitted for publication in a peer-reviewed journal by the end of 2024. CONCLUSIONS: This study will provide up-to-date, systematically synthesized evidence on the effects of lifestyle interventions on absolute CVD risk and CVD risk factors among individuals at high risk for type 2 diabetes. TRIAL REGISTRATION: PROSPERO CRD42023429869; https://tinyurl.com/59ajy7rw. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/53517.
Subject(s)
Cardiovascular Diseases , Diabetes Mellitus, Type 2 , Meta-Analysis as Topic , Randomized Controlled Trials as Topic , Systematic Reviews as Topic , Humans , Diabetes Mellitus, Type 2/epidemiology , Diabetes Mellitus, Type 2/prevention & control , Cardiovascular Diseases/prevention & control , Cardiovascular Diseases/epidemiology , Risk Factors , Life Style , Risk Reduction Behavior , Female , Male , Heart Disease Risk FactorsABSTRACT
Despite extensive evidence related to the prevention and management of type 2 diabetes (T2D) and its complications, most people at risk for and people who have diabetes do not receive recommended guideline-based care. Clinical implementation of proven care strategies is of the utmost importance because without this, even the most impressive research findings will remain of purely academic interest. In this review, we discuss the promise and challenges of implementing effective approaches to diabetes prevention and care in the real-world setting. We describe successful implementation projects in three critical areas of diabetes care-diabetes prevention, glycemic control, and prevention of diabetes-related complications-which provide a basis for further clinical translation and an impetus to improve the prevention and control of T2D in the community. Advancing the clinical translation of evidence-based care must include recognition of and assessment of existing gaps in care, identification of barriers to the delivery of optimal care, and a locally appropriate plan to address and overcome these barriers. Care models that promote team-based approaches, rather than reliance on patient-provider interactions, will enhance the delivery of contemporary comprehensive diabetes care.
Subject(s)
Diabetes Mellitus, Type 2 , Humans , Diabetes Mellitus, Type 2/therapy , Glycemic Control/methodsABSTRACT
BACKGROUND: We aimed to identify clusters of health behaviors and study their associations with cardiometabolic risk factors in adults at high risk for type 2 diabetes in India. METHODS: Baseline data from the Kerala Diabetes Prevention Program (n = 1000; age 30-60 years) were used for this study. Information on physical activity (PA), sedentary behavior, fruit and vegetable intake, sleep, and alcohol and tobacco use was collected using questionnaires. Blood pressure, waist circumference, 2-h plasma glucose, high-density lipoprotein and low-density lipoprotein cholesterol, and triglycerides were measured using standardized protocols. Latent class analysis was used to identify clusters of health behaviors, and multilevel mixed-effects linear regression was employed to examine their associations with cardiometabolic risk factors. RESULTS: Two classes were identified, with 87.4% of participants in class 1 and 12.6% in class 2. Participants in both classes had a high probability of not engaging in leisure-time PA (0.80 for class 1; 0.73 for class 2) and consuming <5 servings of fruit and vegetables per day (0.70 for class 1; 0.63 for class 2). However, participants in class 1 had a lower probability of sitting for >=3 h per day (0.26 vs 0.42), tobacco use (0.10 vs 0.75), and alcohol use (0.08 vs 1.00) compared to those in class 2. Class 1 had a significantly lower mean systolic blood pressure (ß = -3.70 mm Hg, 95% confidence interval [CI] -7.05, -0.36), diastolic blood pressure (ß = -2.45 mm Hg, 95% CI -4.74, -0.16), and triglycerides (ß = -0.81 mg/dL, 95% CI -0.75, -0.89). CONCLUSION: Implementing intervention strategies, tailored to cluster-specific health behaviors, is required for the effective prevention of cardiometabolic disorders among high-risk adults for type 2 diabetes.
Subject(s)
Cardiometabolic Risk Factors , Diabetes Mellitus, Type 2 , Health Behavior , Latent Class Analysis , Humans , Diabetes Mellitus, Type 2/epidemiology , Diabetes Mellitus, Type 2/prevention & control , Male , Female , India/epidemiology , Middle Aged , Adult , Exercise , Sedentary Behavior , Risk Factors , Cluster Analysis , Blood Pressure , Cardiovascular Diseases/epidemiology , Cardiovascular Diseases/prevention & control , Cardiovascular Diseases/etiologySubject(s)
Glucose Intolerance , Prediabetic State , Humans , Glucose , Blood Glucose , Fasting , Glucose Intolerance/diagnosisABSTRACT
High-quality training and networking are pivotal for enhancing the research capacity of early- to mid-career researchers in the prevention and control of non-communicable diseases. Beyond building research skills, these professionals gain valuable insights from interdisciplinary mentorship, networking opportunities, and exposure to diverse cultures and health systems. Despite the significance of such initiatives, their implementation remains underexplored. Here, we describe the implementation and evaluation of the Excellence in Non-COommunicable disease REsearch (ENCORE) program, a collaborative initiative between Australia and India that was launched in 2016 and spanned a duration of 3 years. Led by a consortium that included the University of Melbourne and leading Indian research and medical institutions, ENCORE involved 15 faculty members and 20 early-mid career researchers. The program comprised various elements, including face-to-face forums, masterclasses, webinars, a health-technology conference, and roundtable events. ENCORE successfully trained the early-career researchers, resulting in over 30 peer-reviewed articles, 36 conference presentations, and the submission of seven grant applications, three of which received funding. Beyond individual achievements, ENCORE fostered robust research collaboration between Australian and Indian institutions, showcasing its broader impact on strengthening research capacities across borders.
Subject(s)
Biomedical Research , Noncommunicable Diseases , Research Personnel , Humans , Australia , Noncommunicable Diseases/prevention & control , Noncommunicable Diseases/therapy , India , Program Evaluation , Capacity BuildingABSTRACT
The term prediabetes describes blood glucose levels above the normal range but below the threshold to diagnose type 2 diabetes. Several population health initiatives encourage a test and treat approach for prediabetes. In this approach, screening and identification of individuals with prediabetes should be followed by prompt referral to structured lifestyle modification programs or pharmacologic interventions that have been shown to prevent or delay the progression to type 2 diabetes in clinical trials. Here we provide a critical review of evidence for this test and treat approach by examining health outcomes associated with prediabetes and the availability and effectiveness of lifestyle modification approaches that target prediabetes. We also describe current limitations to the reach and uptake of evidence-based treatment options for prediabetes. Finally, we highlight lessons learned from identifying and labeling other preconditions to consider challenges and opportunities that may arise with increasing awareness of prediabetes as part of routine preventive care.
Subject(s)
Diabetes Mellitus, Type 2 , Mass Screening , Prediabetic State , Humans , Prediabetic State/therapy , Prediabetic State/diagnosis , Diabetes Mellitus, Type 2/prevention & control , Diabetes Mellitus, Type 2/therapy , Mass Screening/methods , Life Style , Risk Reduction Behavior , Blood Glucose/analysisABSTRACT
This article describes the design, outcomes, challenges, and lessons learned from the ASian Collaboration for Excellence in Non-Communicable Disease (ASCEND) program, implemented between 2011 and 2015 in India, Sri Lanka, and Malaysia. The program involved a blended-delivery model, incorporating online and face-to-face training, mentoring, and supervision of trainees' research projects. Evaluation data were collected at baseline, 6, 12, 18, and 24 months. Intended outcomes, lessons, and challenges were summarized using a logic model. During the program period, 48 participants were trained over 2 cohorts in June 2011 and 2012. The trainees published 83 peer-reviewed articles between 2011 and 2015. Additionally, 154 presentations were given by trainees at national and international conferences. Underutilization of the online learning management system was an important challenge. Utilizing a combination of intensive face-to-face and online learning and mentoring of early career researchers in low- and middle-income countries has great potential to enhance the research capacity, performance, and outputs.
Subject(s)
Biomedical Research/organization & administration , Capacity Building , Chronic Disease/therapy , Noncommunicable Diseases , Developing Countries , Humans , India , Malaysia , Program Development , Program Evaluation , Sri Lanka , Treatment OutcomeABSTRACT
The development of underground workspaces is a strategic effort towards healthy urban growth in cities with ever-increasing land scarcity. Despite the growth in underground workspaces, there is limited information regarding the impact of this environment on workers’ health. The Health Effects of Underground Workspaces (HEUW) study is a cohort study that was set up to examine the health effects of working in underground workspaces. In this paper, we describe the rationale for the study, study design, data collection, and baseline characteristics of participants. The HEUW study recruited 464 participants at baseline, of whom 424 (91.4%) were followed-up at 3 months and 334 (72.0%) at 12 months from baseline. We used standardized and validated questionnaires to collect information on socio-demographic and lifestyle characteristics, medical history, family history of chronic diseases, sleep quality, health-related quality of life, chronotype, psychological distress, occupational factors, and comfort levels with indoor environmental quality parameters. Clinical and anthropometric parameters including blood pressure, spirometry, height, weight, and waist and hip circumference were also measured. Biochemical tests of participants’ blood and urine samples were conducted to measure levels of glucose, lipids, and melatonin. We also conducted objective measurements of individuals’ workplace environment, assessing air quality, light intensity, temperature, thermal comfort, and bacterial and fungal counts. The findings this study will help to identify modifiable lifestyle and environmental parameters that are negatively affecting workers’ health. The findings may be used to guide the development of more health-promoting workspaces that attempt to negate any potential deleterious health effects from working in underground workspaces.
ABSTRACT
BACKGROUND: The Achutha Menon Centre Diabetes Risk Score (AMCDRS), which was developed in rural Kerala State, South India, had not previously been externally validated. We examined the performance of the AMCDRS in urban and rural areas in the district of Vellore in the South Indian state of Tamil Nadu, and compared it with other diabetes risk scores developed from India. METHODS: We used the data from 4,896 participants (30 to 64 years) of a cross-sectional study conducted in Vellore (2010 to 2012), to calculate the AMCDRS scores using age, family history, and waist circumference. Sensitivity, specificity, positive predictive value (PPV), and negative predictive values (NPV), and the area under the receiver operating characteristic curve (AROC) were calculated for undiagnosed and total diabetes. RESULTS: Of the 4,896 individuals surveyed, 274 (5.6%) had undiagnosed diabetes and 759 (15.5%) had total diabetes. The AMCDRS, with an optimum cut-point of ≥4, identified 45.0% for further testing with 59.5% sensitivity, 60.5% specificity, 9.1% PPV, 95.8% NPV, and an AROC of 0.639 (95% confidence interval [CI], 0.608 to 0.670) for undiagnosed diabetes. The corresponding figures for total diabetes were 75.1%, 60.5%, 25.9%, 93.0%, and 0.731 (95% CI, 0.713 to 0.750), respectively. The AROC for the AMCDRS was not significantly different from that of the Indian Diabetes Risk Score, the Ramachandran or the Chaturvedi risk scores for total diabetes, but was significantly lower than the AROC of the Chaturvedi score for undiagnosed diabetes. CONCLUSION: The AMCDRS is a simple diabetes risk score that can be used to screen for undiagnosed and total diabetes in low-resource primary care settings in India. However, it probably requires recalibration to improve its performance for undiagnosed diabetes.