Diabetes In Adults Research Articles

The impact of vitamin D on the etiopathogenesis and the progression of type 1 and type 2 diabetes in children and adults.

Diabetes is a common chronic metabolic disease with complex causes and pathogenesis. As an immunomodulator, vitamin D has recently become a research hotspot in the occurrence and development of diabetes and its complications. Many studies have shown that vitamin D can reduce the occurrence of diabetes and delay the progression of diabetes complications, and vitamin D can reduce oxidative stress, inhibit iron apoptosis, promote Ca2+ influx, promote insulin secretion, and reduce insulin resistance. Therefore, the prevention and correction of vitamin D deficiency is very necessary for diabetic patients, but further research is needed to confirm what serum levels of vitamin D3 are maintained in the body. This article provides a brief review of the relationship between vitamin D and diabetes, including its acute and chronic complications.

Free triiodothyronine to free thyroxine ratio as a marker of poor prognosis in euthyroid patients with acute coronary syndrome and diabetes after percutaneous coronary intervention.

In recent years, the free triiodothyronine/free thyroxine (FT3/FT4) ratio, a new comprehensive index for evaluating thyroid function, which could reflect thyroid function more stably and truly than serum thyroid hormone level, has been demonstrated to correlate with the risks of diabetes and cardiovascular disease in euthyroid adults. However, the correlation between thyroid hormone sensitivity and long-term prognosis in euthyroid patients with acute coronary syndrome (ACS) and diabetes after percutaneous coronary intervention (PCI) remains unclear. A total of 1,786 euthyroid patients with ACS who successfully underwent PCI at Beijing Anzhen Hospital from August 2021 to April 2022 were included in our study, which was divided into three groups according to tertiles of thyroid hormone sensitivity index. Cox regression, Kaplan-Meier, and receiver operating characteristic analyses were applied to analyze the associations between the FT3/FT4 ratio with ACS and diabetes after PCI. Our analysis indicated that a lower level of FT3/FT4 ratio in euthyroid patients with acute coronary syndrome (ACS) and diabetes after PCI showed significantly higher incidences of major adverse cardiac and cerebrovascular events (MACCE) when compared with a higher level of FT3/FT4 ratio. After adjusting for other covariates, patients with a lower level of FT3/FT4 ratio were negatively associated with the risk of MACCE than those with a higher level of FT3/FT4 ratio (adjusted OR =1.61, 95% CI 1.05-2.47, P = 0.028). In subgroup analyses, individuals were stratified by age, sex, BMI, ACS type, hypertension, and dyslipidemia, showing that there were no significant interactions between the FT3/FT4 ratio and all subgroups for MACCE. In addition, the FT3/FT4 ratio performed better on ROC analyses for cardiac death prediction [area under the curve (AUC), 0.738]. A reduced level of FT3/FT4 ratio was a potential marker of poor prognosis in euthyroid patients with ACS and diabetes after PCI.

Assessment of subclinical left ventricular systolic and diastolic dysfunction in patients with type 2 diabetes mellitus under follow-up at Tikur Anbessa specialized hospital, Ethiopia: a case-control study

BackgroundIndividuals with diabetes mellitus are at increased risk of cardiovascular diseases, which in turn are the most common cause of morbidity and mortality in the diabetic population. A peculiar feature of cardiovascular diseases in this population is that they can have significant cardiac disease while remaining asymptomatic. There is a paucity of data regarding subclinical cardiac imaging features among diabetic adults in Africa, particularly in Ethiopia. This study was conducted to compare the magnitude and spectrum of left ventricular systolic and diastolic dysfunction among asymptomatic type 2 diabetic adults versus a normotensive, non-diabetic control group and to evaluate the determinants of left ventricular diastolic and systolic dysfunction.MethodsThis was a case-control study conducted at Tikur Anbessa specialized hospital, Addis Ababa, Ethiopia. A standard transthoracic echocardiography was done for all study participants with type 2 diabetes mellitus and their normotensive and non-diabetic controls. Structured questionnaires were used to collect demographic and clinical characteristics and laboratory test results. Statistical analysis was done using the SPSS 25.0 software. The data was summarized using descriptive statistics. Bivariate and multivariate analysis was performed to determine the association between variables and echocardiographic parameters. The strength of statistical association was measured by adjusted odds ratios and 95% confidence intervals, with significant differences taken at p < 0.05.ResultsWe analyzed age- and sex-matched 100 participants in the study (diabetic) group and 200 individuals in the control group. Left ventricular systolic and diastolic dysfunction were significantly more prevalent among diabetic adults than their sex and age matched controls. Among diabetic individuals, ages of 60 years and above, dyslipidemia, use of Metformin and Glibenclamide, high serum triglyceride level, presence of neuropathy and use of statins correlated significantly with the presence of left ventricular diastolic dysfunction. Chronic kidney disease and neuropathy were determinants of left ventricular systolic dysfunction.ConclusionLeft ventricular systolic and diastolic dysfunction were significantly more prevalent among diabetic patients than their sex- and age-matched controls in our study. We recommend early screening for subclinical left ventricular dysfunction, especially in the elderly and in those with chronic kidney disease, dyslipidemia, and microvascular complications such as neuropathy.

A practical evidence-based approach to management of type 2 diabetes in children and young people (CYP): UK consensus

BackgroundType 2 diabetes in young people is an aggressive disease with a greater risk of complications leading to increased morbidity and mortality during the most productive years of life. Prevalence in the UK and globally is rising yet experience in managing this condition is limited. There are no consensus guidelines in the UK for the assessment and management of paediatric type 2 diabetes.MethodsMultidisciplinary professionals from The Association of Children’s Diabetes Clinicians (ACDC) and the National Type 2 Diabetes Working Group reviewed the evidence base and made recommendations using the Grading Of Recommendations, Assessment, Development and Evaluation (GRADE) methodology.Results and discussionYoung people with type 2 diabetes should be managed within a paediatric diabetes team with close working with adult diabetes specialists, primary care and other paediatric specialties. Diagnosis of diabetes type can be challenging with many overlapping features. Diabetes antibodies may be needed to aid diagnosis. Co-morbidities and complications are frequently present at diagnosis and should be managed holistically. Lifestyle change and metformin are the mainstay of early treatment, with some needing additional basal insulin. GLP1 agonists should be used as second-line agents once early ketosis and symptoms are controlled. Glycaemic control improves microvascular but not cardiovascular risk. Reduction in excess adiposity, smoking prevention, increased physical activity and reduction of hypertension and dyslipidaemia are essential to reduce major adverse cardiovascular events.ConclusionsThis evidence-based guideline aims to provide a practical approach in managing this condition in the UK.

Enhancing outcome prediction by applying the 2019 WHO DM classification to adults with hyperglycemic crises: A single-center cohort in Thailand

Background and aimsHyperglycemic crisis is a metabolic catastrophe which can occur in any type of diabetes. In 2019, the World Health Organization (WHO) revised the classification of diabetes mellitus (DM) and established two new hybrid forms, latent autoimmune diabetes in adults (LADA) and ketosis-prone type 2 diabetes (T2D). This study aimed to determine clinical outcomes after a hyperglycemic crisis event in people with diabetes classified subtypes by 2019 WHO DM classification. MethodsA five-year (2015–2019) retrospective study of adult patients admitted with hyperglycemic crises was conducted. Types of diabetes were recategorized based on the 2019 WHO DM classification. Clinical characteristics, in-admission treatment and complications, long-term follow-up outcomes, and mortality were collected, analyzed, and compared. ResultsA total of 185 admissions occurred in 136 patients. The mean age was 50.6 ± 18.4 years (49.3 % men). The annual average incidence of hyperglycemic crises was 5.2 events/1000 persons. The proportion of type 1 diabetes, T2D, LADA, ketosis-prone T2D, and pancreatic DM were 15.4 %, 69.1 %, 2.2 %, 11 %, and 2.2 %, respectively. In-hospital mortality was 3.7 % while cumulative mortality totaled 19.1 %. During the 24-month follow-up, ketosis-prone T2D had the highest success of insulin discontinuation (HR 6.59; 95 % CI 6.69–319.4; p < 0.001), while T2D demonstrated the highest mortality compared to others (HR, 2.89; 95%CI 1.15–6.27; p = 0.02). ConclusionThe reclassification of diabetes based on 2019 WHO DM classification helped elucidate differences in long-term outcomes and mortality among DM types. The new classification, which separates ketosis-prone T2D from standard T2D, should be encouraged in clinical practice for precise and individualized management.

IJCM_115A: Assessing control status of diabetes and hypertension in adults in rural Nagpur: A Formative Approach

Background: Formative research is the process by which researchers aim to understand the current behaviours, perceptions and needs of the target population which affects their decisions and actions. There is gap in literature regarding the health system preparedness to tackle the increasing burden of lifestyle diseases, especially in post-COVID era. This study proposes to identify the various barriers and facilitators in optimising control status among those already diagnosed with lifestyle diseases, through formative approach. Objective: To describe the various barriers and facilitators important for maintaining optimum control of blood sugar and blood pressure among adults with diabetes and hypertension in rural Nagpur Methodology: Rural Nagpur (Populations served by RHTC Bela) Population: 1-Stakeholders including adult consenting diabetic and hypertensive patients. 2-Private and Govt. Medical Practitioner Sampling Technique: Purposive sampling of diabetic and Hypertensive patients was done based on their vocal and willingness to participate in Barrier Analysis. All health care providers from public health facilities (Medical officers and Community health officers from the selected PHC) were considered for in-depth interviews without any sampling. Data collection: Ethnographic analysis including Barrier Analysis through-semi- structured interview, free-listing and Pile sorting using standard techniques. Verbatim recording was followed by coding and analysis. Data Analysis: Analysis was done using Atlas. Ti and Anthropac Software. Smiths Saliency Score was generated wherever appropriate and cognitive map was created. Results: From interim analysis, through triangulation of data, some of the themes that emerged were “Frequent Refill”, “Healthcare Worker Reluctanc”, “Unavailability of medications” as the top barriers to maintaining good control status of diabetes and hypertension. Conclusion: This study will identify the barriers and facilitators at individual, family and at the health system level in controlling the lifestyle diseases, paving the way for the development of future implementation packages appropriate in the cultural context.

An Overview of Differential miRNA Profile of Patients with Latent Autoimmune Diabetes in Adults (LADA)

Diabetes mellitus (DM) is a metabolic and chronic disease characterized by hyperglycemia developing with impaired pancreatic beta cell activity, decreased insulin secretion, icreased insulin resistance, and accordingly impaired carbohydrate, protein and lipid metabolism. DM is classified as type 1, type 2, gestational and other forms of diabetes according to the characteristic properties such as age of onset, insulin dependency, micro- and macrovascular complications. Latent autoimmune diabetes in adults (LADA) is an autoimmune diabetes that begins in adulthood without insulin dependency for glycemic control at least in the first six months after diagnosis. Owing to the common genetic, immunologic, and metabolic features LADA is misdiagnosed with type 1 or type 2 diabetes. Therefore, it is need a biomarkers that ease the diagnosis of LADA. MicroRNAs are small non-coding RNAs involved in biological processes and regulate the response of target tissues to insulin as well as insulin production, signaling and release, insulin resistance, and glucose homeostasis. Dysregulation in miRNA expression can lead to impairment of glucose metabolism. Circulating miRNA are associated with different types of diabetes and have a potential to discriminate them. So, we reviewed the miRNAs that gene expressions levels which change in LADA compared to type 1 and type 2 diabetes.

Familial aggregation and heritability of childhood-onset and adult-onset type 1 diabetes: a Swedish register-based cohort study

Type 1 diabetes in children is known to be highly heritable, but much less is known about the heritability of adult-onset type 1 diabetes. Thus, our objective was to compare the familial aggregation and heritability of type 1 diabetes in adults and children. This Swedish nationwide register-based cohort study included individuals born from Jan 1, 1982, to Dec 31, 2010, identified through the Medical Birth Register who were linked to their parents, full siblings, half siblings, and cousins through the Multi-Generation Register (MGR). We excluded multiple births, deaths within the first month of life, individuals who could not be linked to MGR, or individuals with contradictory information on sex. Information on diagnoses of type 1 diabetes was retrieved by linkages to the National Diabetes Register and National Patient Register (1982-2020). Individuals with inconsistent records of diabetes type were excluded. We estimated the cumulative incidence and hazard ratios (HRs) of type 1 diabetes in adults (aged 19-30 years) and children (aged 0-18 years) by family history of type 1 diabetes and the heritability of adult-onset and childhood-onset type 1 diabetes based on tetrachoric correlations, using sibling pairs. 2 943 832 individuals were born in Sweden during the study period, 2 832 755 individuals were included in the analysis of childhood-onset type 1 diabetes and 1 805 826 individuals were included in the analysis of adult-onset type 1 diabetes. 3240 cases of adult-onset type 1 diabetes (median onset age 23·4 years [IQR 21·1-26·2]; 1936 [59·7%] male and 1304 [40·2%] female) and 17 914 cases of childhood-onset type 1 diabetes (median onset age 9·8 years [6·2-13·3]; 9819 [54·8%] male and 8095 [45·2%] female) developed during follow-up. Having a first-degree relative with type 1 diabetes conferred an HR of 7·21 (95% CI 6·28-8·28) for adult-onset type 1 diabetes and 9·92 (9·38-10·50) for childhood-onset type 1 diabetes. The HR of developing type 1 diabetes before the age 30 years was smaller if a first-degree relative developed type 1 diabetes during adulthood (6·68 [6·04-7·39]) rather than during childhood (10·54 [9·92-11·19]). Similar findings were observed for type 1 diabetes in other relatives. Heritability was lower for adult-onset type 1 diabetes (0·56 [0·45-0·66]) than childhood-onset type 1 diabetes (0·81 [0·77-0·85]). Adult-onset type 1 diabetes seems to have weaker familial aggregation and lower heritability than childhood-onset type 1 diabetes. This finding suggests a larger contribution of environmental factors to the development of type 1 diabetes in adults than in children and highlights the need to identify and intervene on such factors. Swedish Research Council, the Swedish Research Council for Health, Working Life and Welfare, Swedish Diabetes Foundation, and the China Scholarship Council.

BREAKFAST SKIPPING IS ASSOCIATED WITH INCREASED RISK OF TYPE 2 DIABETES AMONG ADULTS : A SYSTEMATIC REVIEW

Background: While certain lifestyle habits may be associated with arterial stiffness, there is limited literature investigating the relationship between lifestyle habits and longitudinal changes in arterial stiffness in patients with type 2 diabetes mellitus (T2DM). Aims : This systematic review is to review the association of breakfast skipping and the risk of type 2 diabetes in adults. Methods: This study demonstrated compliance with all requirements by means of a comparison with the standards established by the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) 2020. Thus, the specialists were able to guarantee that the research was as current as feasible. Publications released between 2014 and 2024 were considered for this search strategy. This was accomplished by utilizing a number of distinct online reference sites, including Pubmed, ScienceDirect, and SagePub. It was determined that reviews, previously published works, and partially completed works would not be included. Result: In the PubMed database, the results of our search brought up 569 articles, whereas the results of our search on SAGEPUB brought up 2731 articles, our search on SCIENCE DIRECT brought up 1382 articles. The results of the search conducted for the last year of 2014 yielded a total 335 articles for PubMed, 1173 articles for SAGEPUB and 864 articles for SCIENCE DIRECT. In the end, we compiled a total of 7 papers, 4 of which came from PubMed, 1 of which came from SAGEPUB and 2 of which came from SCIENCE DIRECT. We included seven research that met the criteria. Conclusion: In summary, breakfast skipping is associated in increasing of type 2 diabetes in adults but also need more studies because the studies of this topic is limited and less reported.

An assessment of adaptation and fidelity in the implementation of an audit and feedback-based intervention to improve transition to adult type 1 diabetes care in Ontario, Canada

BackgroundThe fit between an intervention and its local context may affect its implementation and effectiveness. Researchers have stated that both fidelity (the degree to which an intervention is delivered, enacted, and received as intended) and adaptation to the local context are necessary for high-quality implementation. This study describes the implementation of an audit and feedback (AF)-based intervention to improve transition to type 1 diabetes adult care, at five sites, in terms of adaptation and fidelity.MethodsAn audit and feedback (AF)-based intervention for healthcare teams to improve transition to adult care for patients with type 1 diabetes was studied at five pediatric sites. The Framework for Reporting Adaptations and Modifications to Evidence-based Implementation Strategies (FRAME-IS) was used to document the adaptations made during the study. Fidelity was determined on three different levels: delivery, enactment, and receipt.ResultsFidelity of delivery, receipt, and enactment were preserved during the implementation of the intervention. Of the five sites, three changed their chosen quality improvement initiative, however, within the parameters of the study protocol; therefore, fidelity was preserved while still enabling participants to adapt accordingly.ConclusionsWe describe implementing a multi-center AF-based intervention across five sites in Ontario to improve the transition from pediatric to adult diabetes care for youth with type 1 diabetes. This intervention adopted a balanced approach considering both adaptation and fidelity to foster a community of practice to facilitate implementing quality improvement initiatives for improving transition to adult diabetes care. This approach may be adapted for improving transition care for youth with other chronic conditions and to other complex AF-based interventions.Trial registrationClinicalTrials.gov NCT03781973. Registered 13 December 2018. Date of enrolment of the first participant to the trial: June 1, 2019.

Combining an Electrochemical Continuous Glucose Sensor With an Insulin Delivery Cannula: A Feasibility Study.

Combining a continuous glucose monitor with an insulin delivery cannula (CGM-IS) could benefit clinical outcomes. We evaluated the feasibility of a single-needle insertion electrochemical investigational CGM-IS (Pacific Diabetes Technologies, Portland, Oregon) in type 1 diabetes adults. Following 48 hours run-in using a Medtronic 780G in manual mode with a commercial insulin set, 12 participants commenced insulin delivery using the CGM-IS. A standardized test meal was eaten on the mornings of days 1 and 4. Venous samples were collected every 10 minutes one hour prior to and 15 minutes post-meal for four hours. CGM-IS glucose measurements were post-processed with a single capillary blood calibration during warm-up and benchmarked against YSI. A Dexcom G6 sensor was worn post-consent to study end. Mean absolute relative difference (MARD) for the CGM-IS glucose measurements was 9.2% (484 paired data points). Consensus error grid revealed 88.6% within zone A and 100% in A + B. Mean (SD) % bias was -3.5 (11.7) %. There were 35 paired YSI readings <100 mg/dL cutoff and 449 ≥100 mg/dL with 81.4% within ±15 mg/dL or ±15%, and 89.9% within ±20 mg/dL or ±20%. Two cannula occlusions required discontinuation of insulin delivery: one at 70 hours post insertion and another during the day 4 meal test. Mean (SD) Dexcom glucose measurements during run-in and between meal tests was respectively 161.3 ± 27.3 mg/dL versus 158.0 ± 25.6 mg/dL; P = .39 and corresponding mean total daily insulin delivered by the pump was 58.0 ± 25.4 Units versus 57.1 ± 28.8 Units; P = .47. Insulin delivery and glucose sensing with the investigational CGM-IS was feasible. Longer duration studies are needed.

Gender- and Age-Group Specific Association of Persistent Organic Pollutants (POPs) Exposure with Diabetes Mellitus: Korean National Environmental Health Survey (KoNEHS) 2015-2017.

Exposure to persistent organic pollutants (POPs) has been reported as a potential risk factor for diabetes in adults. However, effect modifications by sex and age, especially among Asian populations, have seldom been investigated. In the present study, we assessed associations of major POPs exposure including organochlorine pesticides (OCPs), polychlorinated biphenyls (PCBs), and polybrominated diphenyl ethers (PBDEs), with diabetes in Korean adults (n = 1,295), a subset of the Korean National Environmental Health Survey (KoNEHS) Cycle 3 (2015-2017). In the adult population, serum levels of dichlorodiphenyltrichloroethanes (DDTs) and PCB167 showed an increased odds ratio (OR) for diabetes. When stratified by gender, associations became stronger and more consistent in women: In women, serum levels of OCPs including p,p'-DDT, p,p'-dichlorodiphenyldichloroethylene (p,p'-DDE), and ΣOCPs and mono-ortho PCBs, such as PCB118 and PCB157, were significantly associated with diabetes. In the male participants, however, no significant positive associations were detected. When stratified by a cutoff age of 50 years, most studied POPs except PBDEs, i.e., p,p'-DDT, p,p'-DDE, PCB118, PCB157, PCB167, PCB138, and PCB153, showed significant associations with diabetes, in the older adults. In the younger group, however, no measured POPs showed a significant positive association. Effects of endogenous sex hormones or interaction of POPs on aryl hydrocarbon receptors may partly explain the observed differences by gender and age, although further experimental confirmations should follow. Our findings show that POPs exposure at the current levels is associated with diabetes among general Korean adults, and such associations could be modified by gender and age.

Trends in all-cause and cause-specific mortality in older adults with and without diabetes: A territory-wide analysis in one million older adults in Hong Kong

AimsDirect comparisons of population-level trends in all-cause and cause-specific mortalities among older adults with and without diabetes are lacking. MethodsWe performed a territory-wide analysis of 1,142,000 unique older adults aged ≥ 65 years (31.7 % with diabetes) with at least one attendance in the Hong Kong Hospital Authority in 2014–2018. We used Joinpoint regression to describe trends of age- and sex-standardised all-cause and cause-specific mortalities (cardiovascular disease [CVD], cancer, and non-CVD and non-cancer) in older adults with and without diabetes. ResultsAll-cause mortality decreased in older adults with (average annual percent change [AAPC] = -1.6, 95 % confidence interval [-2.7, -0.4]) and without (AAPC = -3.1 [-4.2, -2.1]) diabetes. Largest declines were seen for CVD-cause mortalities for people with and without diabetes (AAPC = -5.5 [-6.8, -4.1] vs AAPC = -5.8 [-8.6, -2.9], respectively). Cancer-cause mortalities were similar in both groups with no change. Men with diabetes showed less favourable improvements. An increasing mortality trend was seen only in the 65-69 age-group regardless of diabetes status. ConclusionsMortality continued to decline in older adults with and without diabetes, mainly driven by a decline in CVD deaths, with no narrowing of the mortality gap. Our findings call for continued actions to address excess mortalities especially in older men with diabetes and younger older adults.

Association between unhealthy lifestyles and hypertension, diabetes and dyslipidemia in old adults in China

Objective: To analyze the individual and cumulative effects of unhealthy lifestyle on the prevalence of hypertension, diabetes and dyslipidemia in old adults in China, and find out the critical lifestyle in the network. Methods: Based on the baseline data of Yunnan Behavior and Disease Surveillance Cohort in 2021, a total of 16 763 older adults aged ≥60 years were included in our study. The unhealthy lifestyle factors including smoking, drinking, unhealthy eating habit, lower physical activity level, abnormal BMI and abnormal waist circumference. We calculated the unhealthy lifestyle score by using the cumulative exposures of each participant. Multiple logistic regression and mixed graphical models were used to describe the association between unhealthy lifestyle and the prevalence of hypertension, diabetes and dyslipidemia. Results: The prevalence of hypertension, diabetes and dyslipidemia were 57.0%, 11.5% and 37.0%, respectively. Most of the unhealthy lifestyles included in the study were risk factors for hypertension, diabetes and dyslipidemia, and the risks of disease increased with the increase of the unhealthy lifestyle score. The participants with the highest score (score: 6) had significantly higher prevalence of hypertension (OR=3.99, 95%CI: 1.81-8.80), diabetes (OR=4.64, 95%CI: 1.64-13.15) and dyslipidemia (OR=4.26, 95%CI: 2.08-8.73) compared with those with lowest score (score: 0). In the network constructed by mixed graphical model, abnormal waist circumference (bridge strength=0.81) and hypertension (bridge strength=0.55) were vital bridge nodes connecting unhealthy lifestyle and hypertension, diabetes and dyslipidemia. Conclusions: The unhealthy lifestyle score was associated with risks for hypertension, diabetes and dyslipidemia. Abnormal waist circumference was the key factor for chronic diseases in old adults.

Habitual Short Sleep Duration, Diet, and Development of Type 2 Diabetes in Adults

Understanding the interplay between sleep duration, dietary habits, and the risk of developing type 2 diabetes (T2D) is crucial for public health and diabetes prevention strategies. To investigate the associations of type of diet and duration of sleep with the development of T2D. Data derived from the UK Biobank baseline investigation (2006-2010) were analyzed for this cohort study between May 1 and September 30, 2023. The association between sleep duration and healthy dietary patterns with the risk of T2D was investigated during a median (IQR) follow-up of 12.5 (11.8-13.2) years (end of follow-up, September 30, 2021). For the analysis, 247 867 participants were categorized into 4 sleep duration groups: normal (7-8 hours per day), mild short (6 hours per day), moderate short (5 hours per day), and extreme short (3-4 hours per day). Their dietary habits were evaluated based on population-specific consumption of red meat, processed meat, fruits, vegetables, and fish, resulting in a healthy diet score ranging from 0 (unhealthiest) to 5 (healthiest). Cox proportional hazards regression analysis was used to calculate hazard ratios (HRs) and 95% CIs for the development of T2D across various sleep duration groups and healthy diet scores. The cohort comprised 247 867 participants with a mean [SD] age of 55.9 [8.1] years, of whom 52.3% were female. During the follow-up, 3.2% of participants were diagnosed with T2D based on hospital registry data. Cox regression analysis, adjusted for confounding variables, indicated a significant increase in the risk of T2D among participants with 5 hours or less of daily sleep. Individuals sleeping 5 hours per day exhibited a 1.16 adjusted HR (95% CI, 1.05-1.28), and individuals sleeping 3 to 4 hours per day exhibited a 1.41 adjusted HR (95% CI, 1.19-1.68) compared with individuals with normal sleep duration. Furthermore, individuals with the healthiest dietary patterns had a reduced risk of T2D (HR, 0.75 [95% CI, 0.63-0.88]). The association between short sleep duration and increased risk of T2D persisted even for individuals following a healthy diet, but there was no multiplicative interaction between sleep duration and healthy diet score. In this cohort study involving UK residents, habitual short sleep duration was associated with increased risk of developing T2D. This association persisted even among participants who maintained a healthy diet. To validate these findings, further longitudinal studies are needed, incorporating repeated measures of sleep (including objective assessments) and dietary habits.

Global, regional, and national burden of type 1 diabetes in adolescents and young adults.

Type 1 diabetes (T1D) incidence in adolescents varies widely, but has increased globally in recent years. This study reports T1D burden among adolescents and young adults aged 10-24-year-old age group at global, regional, and national levels. Based on the Global Burden of Disease Study 2019, we described the burden of T1D in the 10-24-year-old age group. We further analyzed these trends by age, sex, and the Social Development Index. Joinpoint regression analysis was used to assess temporal trends. T1D incidence among adolescents and young adults increased from 7·78 per 100,000 population (95% UI, 5·27-10·60) in 1990 to 11·07 per 100,000 population (95% UI, 7·42-15·34) in 2019. T1D mortality increased from 5701·19 (95% UI, 4642·70-6444·08) in 1990 to 6,123·04 (95% UI, 5321·82-6887·08) in 2019, representing a 7·40% increase in mortality. The European region had the highest T1D incidence in 2019. Middle-SDI countries exhibited the largest increase in T1D incidence between 1990 and 2019. T1D is a growing health concern globally, and T1D burden more heavily affects countries with low SDI. Specific measures and effective collaboration among countries with different SDIs are required to improve diabetes care in adolescents. We assessed trends in T1D incidence and burden among youth in the 10-24-year-old age group by evaluating data from the Global Burden of Disease Study 2019. Our results demonstrated that global T1D incidence in this age group increased over the past 30 years, with the European region having the highest T1D incidence. Specific measures and effective collaboration among countries with different SDIs are required to improve diabetes care in adolescents.

Performance of different machine learning algorithms in identifying undiagnosed diabetes based on nonlaboratory parameters and the influence of muscle strength: A cross-sectional study.

Machine learning algorithms based on the artificial neural network (ANN), support vector machine, naive Bayesian or logistic regression model are commonly used to identify diabetes. This study investigated which approach performed the best and whether muscle strength provided any incremental benefit in identifying undiagnosed diabetes in Chinese adults. This cross-sectional study enrolled 4,482 eligible participants from eight provinces in China, who were randomly divided into the training dataset (n = 3,586) and the testing dataset (n = 896). Muscle strength was assessed by handgrip strength and the number of chair stands in the 30-s chair stand test. An oral glucose tolerance test was used to ascertain undiagnosed diabetes. The areas under the curve (AUCs) were calculated accordingly and compared with each other. Of the included participants, 233 had newly diagnosed diabetes. All the four machine learning algorithms, which were developed based on nonlaboratory parameters, showed acceptable discriminative ability in identifying undiagnosed diabetes (all AUCs >0.70), with the ANN approach performing the best (AUC 0.806). Adding handgrip strength or the 30-s chair stand test to this approach did not increase the AUC further (P = 0.39 and 0.26, respectively). Furthermore, compared with the New Chinese Diabetes Risk Score, the ANN approach showed a larger AUC in identifying undiagnosed diabetes (Pcomparison < 0.01), regardless of the addition of handgrip strength or the 30-s chair stand test. The ANN approach performed the best in identifying undiagnosed diabetes in Chinese adults; however, the addition of muscle strength might not improve its efficacy.

High Prevalence of A-β+ Ketosis-Prone Diabetes in Children with Type 2 Diabetes and Diabetic Ketoacidosis at Diagnosis: Evidence from the Rare and Atypical Diabetes Network (RADIANT).

A-β+ ketosis-prone diabetes (KPD) in adults is characterized by presentation with diabetic ketoacidosis (DKA), negative islet autoantibodies, and preserved β-cell function in persons with a phenotype of obesity-associated type 2 diabetes (T2D). The prevalence of KPD has not been evaluated in children. We investigated children with DKA at "T2D" onset and determined the prevalence and characteristics of pediatric A-β+ KPD within this cohort. We reviewed the records of 716 children with T2D at a large academic hospital and compared clinical characteristics of those with and without DKA at onset. In the latter group, we identified patients with A-β+ KPD using criteria of the Rare and Atypical Diabetes Network (RADIANT) and defined its prevalence and characteristics. Mean age at diagnosis was 13.7 ± 2.4 years: 63% female; 59% Hispanic, 29% African American, 9% non-Hispanic White, and 3% other. Fifty-six (7.8%) presented with DKA at diagnosis and lacked islet autoantibodies. Children presenting with DKA were older and had lower C-peptide and higher glucose concentrations than those without DKA. Twenty-five children with DKA (45%) met RADIANT A-β+ KPD criteria. They were predominantly male (64%), African American or Hispanic (96%), with substantial C-peptide (1.3 ± 0.7 ng/mL) at presentation with DKA and excellent long-term glycemic control (HbA1c 6.6% ± 1.9% at follow-up (median 1.3 years postdiagnosis)). In children with a clinical phenotype of T2D and DKA at diagnosis, approximately half meet criteria for A-β+ KPD. They manifest the key characteristics of obesity, preserved β-cell function, male predominance, and potential to discontinue insulin therapy, similar to adults with A-β+ KPD.

Kazakh adults in Xinjiang have a prevalent obesity problem but a low prevalence of diabetes

BackgroundThe prevalence of diabetes and obesity has been continuously rising worldwide over the last three decades, particularly in China. The prevalence varies widely among different ethnicities. In this study, we investigated the prevalence of diabetes and obesity, as well as the associated factors for diabetes in Kazakh adults in Xinjiang to improve diabetes screening.MethodsWe collected data from the Xinjiang physical examination in 2018, including a total sample of 118,505 Kazakh adults in Altay District. Data on demographic characteristics, medical history, physical examination, fasting plasma glucose (FPG) and serum lipid profiles were collected. The chi-square test was used to examine the differences between multiple variables. Multivariate logistic regression was performed to identify the factors associated with diabetes.ResultsThe mean age was 43. 66 years (SD 14.14). 49.3% of the population were women and 75.5% were rural residents. The mean FPG was 5.33 mmol/L (SD 1.22). The prevalence of diabetes was 6.3% and 4.1% received a new diagnosis by FPG. 26.6% were diagnosed with impaired fasting glucose (IFG). The mean body mass index (BMI) was 26.29 kg/m2 (SD 14.14) and the mean waist circumference was 87.69 cm (SD 12.74). 33.2% of the population were overweight, and 33.0% were obese. The prevalence of central obesity was 51.4%. Diabetes was mostly positively associated with hypertension (OR = 3.821, P<0.001), hypertriglyceridemia (OR = 2.757, P<0.001), and hyper-LDL-cholesterolemia (OR = 2.331, P<0.001) in the Kazakh population. The ORs for overweight, obesity and central obesity predictive of diabetes were 1.265, 1.453 and 1.222 ( all P<0.001), respectively.ConclusionsDespite having a high prevalence of obesity and central obesity, the Kazakh population had a considerably low prevalence of diabetes. Obesity was not the most important risk factor for diabetes in Kazakh individuals. The awareness of diabetes was low. When screening for diabetes in Kazakhs, those with hypertension or dyslipidemia should receive more attention.

Walking speed and the risk of type 2 diabetes: a systematic review and meta-analysis

ObjectiveTo investigate the association between walking speed and the risk of type 2 diabetes.DesignSystematic review and meta-analysis.Data sourcesPubMed, Scopus, CENTRAL and Web of Science to 30 May 2023.Eligibility criteria for...