Journal of Diabetes Research最新文献

{"title":"Psychosocial Factors Associated With Medication Burden Among Patients With Type 2 Diabetes Mellitus: A Cross-Sectional Study.","authors":"Minh Hoang Le, Ngoc Diem Le, Thi Thuy Nhu Le, Minh Cuong Nguyen, Van De Tran","doi":"10.1155/jdr/8885209","DOIUrl":"10.1155/jdr/8885209","url":null,"abstract":"<p><p><b>Background:</b> Previous research has focused largely on sociodemographic, clinical, and medication-use characteristics, overlooking the critical role psychosocial factors may play in influencing the medication-related burden among patients with Type 2 diabetes mellitus. <b>Objectives:</b> The aim of this study was to explore the psychosocial factors associated with medication burden among patients with Type 2 diabetes mellitus. <b>Methods:</b> A cross-sectional study was performed on 261 patients with Type 2 diabetes from four community health stations in Can Tho, Vietnam. Linear regression models were used to identify demographic and health factors, as well as psychosocial factors, including medication self-efficacy, medication social support, satisfaction with medication treatments, depression, and medication beliefs that are related to medication burden. <b>Results:</b> The presence of dyslipidemia (<i>β</i> = 0.15, <i>p</i> = 0.002) and depression (<i>β</i> = 0.21, <i>p</i> < 0.001) and a stronger belief in the necessity of medication (<i>β</i> = 0.41, <i>p</i> < 0.001) were significantly associated with increased medication-related burden. Conversely, higher education (<i>β</i> = -0.16, <i>p</i> = 0.002), a greater number of family members (<i>β</i> = -0.25, <i>p</i> < 0.001), and higher medication self-efficacy (<i>β</i> = -0.21, <i>p</i> < 0.001) were significantly associated with a reduction in medication-related burden. <b>Conclusion:</b> Psychosocial factors were found to be associated with medication burden among patients with Type 2 diabetes. These findings highlight the importance of psychosocial factors in managing medication burden. Future interventions should focus on these factors to reduce the medication burden and improve the quality of life for patients with Type 2 diabetes.</p>","PeriodicalId":15576,"journal":{"name":"Journal of Diabetes Research","volume":"2025 ","pages":"8885209"},"PeriodicalIF":3.6,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12140820/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144234311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to \"Nocturnal Light Pollution Synergistically Impairs Glucose Metabolism With Age and Weight in Monkeys\".","authors":"","doi":"10.1155/jdr/9841020","DOIUrl":"https://doi.org/10.1155/jdr/9841020","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.1155/2024/5112055.].</p>","PeriodicalId":15576,"journal":{"name":"Journal of Diabetes Research","volume":"2025 ","pages":"9841020"},"PeriodicalIF":3.6,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12271687/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144674933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Type 2 Diabetes in Taiwan: Unmasking Influential Factors Through Advanced Predictive Modeling.","authors":"Shih-Tsung Chang, Ying-Hsiang Chou, Oswald Ndi Nfor, Ji-Han Zhong, Chien-Ning Huang, Yung-Po Liaw","doi":"10.1155/jdr/5531934","DOIUrl":"10.1155/jdr/5531934","url":null,"abstract":"<p><p><b>Background:</b> Type 2 diabetes (T2D) is influenced by lifestyle, genetics, and environmental conditions. By utilizing machine learning techniques, we can enhance the precision of T2D risk prediction by analyzing the complex interactions among these variables. This study was aimed at identifying and predicting key variables linked to T2D within the Taiwanese population. <b>Methods:</b> The study included 3623 individuals with T2D and 14,492 without. Data on lifestyle and anthropometric measures were obtained from the Taiwan Biobank. Statistical analyses were performed using Base SAS software and SAS Viya. <b>Results:</b> Traditional models identified body mass index (BMI) and waist-hip ratio (WHR) as significant risk factors for T2D, with odds ratios (OR) of 1.10 (95% confidence interval (CI) 1.09-1.12) and 1.10 (95% CI 1.09-1.11), respectively. These variables remained crucial in predictive models, with the WHR being the most influential. In the overall population, BMI's relative importance was 0.57, differing by gender (0.23 in men and 0.62 in women). While cigarette smoking and certain genetic variants (<i>CDKAL1</i>, <i>SLC30A8</i>, <i>CDKN2B</i>, <i>KCNQ1</i>, <i>HHEX</i>, <i>and TCF7L2</i>) were significant in traditional models, their importance decreased in predictive models. <b>Conclusions:</b> Among various factors, the WHR emerged as the most critical attribute for T2D, underscoring the complexity of T2D etiology. Overall, the random forest and ensemble classifiers emerge as the most effective models, especially in mixed and female categories, highlighting their robustness in predictive performance.</p>","PeriodicalId":15576,"journal":{"name":"Journal of Diabetes Research","volume":"2025 ","pages":"5531934"},"PeriodicalIF":3.6,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12133368/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144215996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations Between Self-Stigma and Health Promotion Behaviors in Overweight/Obese Patients With Type 2 Diabetes: A Cross-Sectional Study.","authors":"Shilian Niu, Rao Li, Li Yuan, Dan Huang","doi":"10.1155/jdr/9142949","DOIUrl":"10.1155/jdr/9142949","url":null,"abstract":"<p><p><b>Background:</b> Patients experiencing stigma are more prone to engage in unhealthy behaviors. The correlation between stigma and health-promoting behaviors in overweight/obese T2DM patients is unclear. Therefore, this study aimed to investigate the association between the two in this particular population. <b>Methods:</b> This cross-sectional study, conducted from July 2022 to July 2023 at the Department of Endocrinology and Metabolism of a tertiary general hospital in Chengdu, Sichuan Province, China, used convenience sampling to enroll overweight/obese T2DM patients. A structured questionnaire was used to obtain information on sociodemographic and clinical characteristics. Respondents were assessed for stigma and health-promoting behaviors using the SSCI and T2DHPS scales. Data were analyzed using SPSS version 27.0, with a significance level of <i>p</i> < 0.05. <b>Results:</b> The majority was males (64%). The average BMI of patients was 27.27 ± 3.11 (kg/m²), and the average HbA1c was 8.36 ± 1.81 (mmol/mol). The overall stigma score of overweight/obese T2DM patients was 4.19 ± 8.69, and the overall health-promoting behaviors score was 87.75 ± 16.75. Pearson correlation analysis revealed a significant correlation between stigma and the overall score of health promotion behaviors (<i>r</i> = -0.144, <i>p</i> < 0.05). The multiple linear regression analysis showed that the hypoglycemia incidence, patient origin, GLP-1RA use, and stress management explained 23.9% of the patients' feelings of stigma. <b>Conclusions:</b> This study found that there was a correlation between the level of stigma and health-promoting behaviors in overweight/obese patients with T2DM. Hypoglycemia, inpatient, GLP-1RA treatment, and stress management significantly predicted stigma among overweight/obese patients. These findings have implications for healthcare providers, as they can develop intervention strategies by assessing the levels of stigma and stress management in overweight/obese patients with T2DM, to help reduce stigma and promote healthy behaviors among these patients.</p>","PeriodicalId":15576,"journal":{"name":"Journal of Diabetes Research","volume":"2025 ","pages":"9142949"},"PeriodicalIF":3.6,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12129618/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144208686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Do the Interactions Between Type 1 Diabetes and Work Support Self-Management? A Best-Evidence Synthesis.","authors":"Emma Victoria Shiel, Kim Burton, Steve Hemingway","doi":"10.1155/jdr/5523829","DOIUrl":"10.1155/jdr/5523829","url":null,"abstract":"<p><p>Work can be challenging for people with Type 1 diabetes, in part due to difficulties around workplace self-management. What is unclear is the level of accommodation needed, and the type of support required, for effective self-management. To understand the interactions between work and Type 1 diabetes, a best-evidence synthesis of the available grey and peer-reviewed literature was conducted. Twenty-eight articles were included for thematic analysis. Three themes were formulated: (1) How work can be challenging for people with T1D, (2) how work can be beneficial for people with T1D, and (3) influence of policy and legislation. The interactions between Type 1 diabetes and work can hinder self-management. Work-related diabetes distress, concealment, stigma, lack of action space, and work-related intentional hyperglycaemia were reported concerns. Legislation and workplace policy around sickness and disability seem to be relatively inflexible and do not readily accommodate the needs of people with Type 1 diabetes. Conversely, work has acknowledged benefits for health and well-being, indicating a need to facilitate workplace accommodation for people with Type 1 diabetes. Current workplaces do not provide optimal support and accommodation for self-management of Type 1 diabetes. Future research should explore interventions that engage workers in their diabetes management, emphasising individual differences and empowerment. Moving forward, fostering collaborative approaches between the key actors, including managers, human resources, occupational health, and workers with Type 1 diabetes, could be important.</p>","PeriodicalId":15576,"journal":{"name":"Journal of Diabetes Research","volume":"2025 ","pages":"5523829"},"PeriodicalIF":3.6,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12105885/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144150487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Potential Role of CD99 Signaling Pathway in Schwann Cell Dysfunction in Diabetic Foot Ulcers Based on Single-Cell Transcriptome Analysis.","authors":"Yannan Zhou, Yaxin Zhou, Haohan Chen, Li Zhang, Siwei Bi","doi":"10.1155/jdr/9935400","DOIUrl":"10.1155/jdr/9935400","url":null,"abstract":"<p><p><b>Background:</b> Schwann cell (SC) dysfunction contributes to the delayed healing of diabetic foot ulcers (DFUs). However, the underlying molecular mechanism regarding the unregulated SC function is poorly understood. Thus, we examined the single-cell transcriptome data from different DFU states focusing on SC characteristics. <b>Methods:</b> The single-cell RNA sequencing (scRNA-seq) data of DFU was obtained from the Gene Expression Omnibus (GEO) database, covering foot skin samples from nondiabetic patients, diabetic patients without DFU, DFU healers, and DFU nonhealers. After scRNA-seq data processing, downscaling, and cell cluster identification, cell communication analysis was performed by the CellChat package. Furthermore, we subclustered SC populations and ran the trajectory inference and pseudotime analysis to investigate the dynamic changes in SC. Finally, the significant pathways were validated with a <i>db/db</i> mouse wound model. <b>Results:</b> scRNA-seq analysis revealed different SC percentages and gene markers across the DFU groups. We identified that the CD99 signaling pathway was upregulated in the DFU nonhealer group. In the <i>db/db</i> mouse wound model, we observed that CD99 was highly expressed in the demyelinated area of the peripheral nerve fibers. <b>Conclusion:</b> Our study elucidated that the CD99 pathway activation may play a crucial role in SC dysfunction of DFU, providing insights into the peripheral glia regulation mechanism and potential therapeutic target of DFU.</p>","PeriodicalId":15576,"journal":{"name":"Journal of Diabetes Research","volume":"2025 ","pages":"9935400"},"PeriodicalIF":3.6,"publicationDate":"2025-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12103954/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144150529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"U-Shaped Association of Visceral Fat Area With Diabetic Peripheral Neuropathy.","authors":"Xianhua Li, Yingxiang Wang, Xiaotong Feng, Lin Mao, Jing Ke, Dong Zhao","doi":"10.1155/jdr/3291418","DOIUrl":"10.1155/jdr/3291418","url":null,"abstract":"<p><p><b>Background:</b> The impact of visceral fat area (VFA) on diabetic peripheral neuropathy (DPN) remains controversial in Type 2 diabetes mellitus (T2DM), with conflicting evidence. <b>Methods:</b> We conducted a cross-sectional study at the National Metabolic Management Center of Beijing Luhe Hospital between October 2017 and May 2024. VFA was quantified using bioelectrical impedance analysis, and DPN was diagnosed according to standardized clinical criteria. The association between VFA and DPN was examined using multiple logistic regression models with comprehensive confounder adjustment. Nonlinear relationships were investigated through generalized additive models and threshold effect analyses. <b>Results:</b> Among 7436 T2DM patients (3044 females), the median VFA was 104 cm² (interquartile range: 79.5-132 cm²), with DPN present in 26.55% of participants. Generalized additive models revealed a significant U-shaped association between VFA and DPN, with an inflection point at 133 cm² (log-likelihood ratio test, <i>p</i> < 0.001). In the segmented regression analysis, each 10 cm² increase in VFA below this threshold was associated with decreased DPN risk (OR: 0.95, 95% CI: 0.93-0.97, <i>p</i> < 0.05), while increases above the threshold were associated with elevated risk (OR: 1.06, 95% CI: 1.03-1.09, <i>p</i> < 0.05). <b>Conclusions:</b> A U-shaped association exists between VFA and DPN prevalence in T2DM patients, suggesting clinical relevance of moderate visceral adiposity.</p>","PeriodicalId":15576,"journal":{"name":"Journal of Diabetes Research","volume":"2025 ","pages":"3291418"},"PeriodicalIF":3.6,"publicationDate":"2025-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12103959/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144150535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analyzing Medication Adherence Patterns Among Type 2 Diabetes Patients in Thi-Qar, Iraq: A Cross-Sectional Study.","authors":"Adel Gassab Mohammed, Nassar Taha Yaseen, Dheyaa K AlWaeli","doi":"10.1155/jdr/6659722","DOIUrl":"10.1155/jdr/6659722","url":null,"abstract":"<p><p>This research investigates the adherence levels to diabetes treatment among patients and explores the factors influencing adherence, glycemic control, and the occurrence of diabetes-related complications. A cross-sectional study involving 296 diabetes patients was conducted to evaluate their demographic and clinical profiles, treatment strategies, and adherence levels using the eight-item Morisky Medication Adherence Scale (MMAS-8). Statistical analyses identified variables affecting adherence and their relationships with glycemic control and complications. The study population comprised 56% men, with an average age of 49.4 years. Obesity was observed in 24.3% of participants, while the median disease duration was 5 years. The average HbA1c level was 8.4%. Microvascular complications were present in 48.6% of patients, and 18.2% experienced macrovascular complications. Most patients were prescribed oral antidiabetic medications (OAD), with 25% receiving insulin therapy. Adherence rates were suboptimal, with only 3.4% achieving good adherence, 30.4% moderate adherence, and 66.2% poor adherence. Men had higher rates of poor adherence compared to women (72.3% vs. 58.5%). Interestingly, adherence was better in patients with a longer disease duration and a higher body mass index (BMI). The study further examined adherence's impact on glycemic outcomes, finding that poor adherence strongly correlated with elevated HbA1c levels. Among individuals with HbA1c ≥ 7%, 70.5% exhibited poor adherence, whereas 40% of patients with good adherence still had suboptimal glycemic control. Conversely, among those with HbA1c < 7%, 24.5% demonstrated poor adherence compared to 40% with good adherence. Random blood sugar (RBS) levels were significantly higher in poorly adherent patients (237 mg/dL) versus those with good adherence (141 mg/dL). Although adherence was not statistically linked to complication prevalence, patients with reported adherence challenges were more prone to both microvascular and macrovascular complications. Different treatment regimens were also analyzed, revealing that sulfonylureas (SUs) were associated with poor adherence (85%), while sodium-glucose cotransporter 2 inhibitors (SGLT2i) showed better adherence rates (16.7%). Missed doses were strongly linked to poor glycemic outcomes but had a lesser impact on complication development. These findings underscore the need for individualized strategies to enhance adherence and optimize glycemic control, ultimately reducing diabetes-related complications.</p>","PeriodicalId":15576,"journal":{"name":"Journal of Diabetes Research","volume":"2025 ","pages":"6659722"},"PeriodicalIF":3.6,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12101902/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144142668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Derivation and Validation of Prediction Models for Prolonged Length of Stay and 30-Day Readmission in Elderly Patients With Type 2 Diabetes Mellitus: A Multicenter Study.","authors":"Juntao Tan, Yuxin He, Zhengyu Zhang, Jiaxiu Liu, Jinglong Du, Wenlong Zhao, Yanbing Liu","doi":"10.1155/jdr/3148242","DOIUrl":"10.1155/jdr/3148242","url":null,"abstract":"<p><p><b>Background:</b> Elderly patients with Type 2 diabetes mellitus (T2DM) often experience prolonged length of stay (LOS) and 30-day readmission. This study was aimed at identifying factors influencing these outcomes and develop predictive models for them. <b>Methods:</b> The least absolute shrinkage and selection operator (LASSO) combined with logistic regression was utilized to construct the prediction models, which were subsequently visualized through nomograms. The performance of these models was comprehensively evaluated in terms of discrimination, calibration, and clinical utility. Specifically, the discrimination capacity was assessed using the area under the receiver operating characteristic curve (AUROC), while calibration was evaluated via calibration curves and the Brier score. Clinical utility was examined through decision curve analysis (DCA) and clinical impact curve (CIC). Additionally, to verify the robustness and generalizability of the developed prediction models, subgroup analyses were conducted across various strata of the study population. <b>Results:</b>A total of 24 variables for 8800 patients were included for predicting prolonged LOS, and 38 variables were used for 30-day readmission prediction. In the training set, 28.42% of patients had prolonged LOS and 13.68% were readmitted within 30 days. The prolonged LOS model had an AUROC of 0.720 (95% CI: 0.703-0.737), while the 30-day readmission model achieved 0.766 (95% CI: 0.745-0.787). The Brier scores were 0.174 (95% CI: 0.168-0.180) and 0.102 (95% CI: 0.096-0.108), respectively. Both models showed good clinical utility in DCA and CIC analyses. Subgroup validation across different age groups showed consistent performance, with all AUROCs above 0.60. Albumin was identified as the most significant predictor in both models. <b>Conclusion:</b> The predictive models developed in this study demonstrated robust performance in forecasting common outcomes in elderly patients with T2DM. Moreover, albumin level was strongly associated with both prolonged LOS and 30-day readmission, making it a key factor in patient management.</p>","PeriodicalId":15576,"journal":{"name":"Journal of Diabetes Research","volume":"2025 ","pages":"3148242"},"PeriodicalIF":3.6,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12088840/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144101906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Causal Effect of Basal Metabolic Rate on Type 2 Diabetes: A Two-Sample Mendelian Randomization Study.","authors":"Yu Huang, Jianxuan Wen, Xiaofeng Liao, Guiling Chen, Xiang Zeng, Yu Chen","doi":"10.1155/jdr/6523642","DOIUrl":"10.1155/jdr/6523642","url":null,"abstract":"<p><p><b>Aim:</b> This study is aimed at systematically investigating the potential causal impact of basal metabolic rate (BMR) on the risk of Type 2 diabetes (T2D). <b>Methods:</b> Data pertaining to single-nucleotide polymorphisms (SNPs) associated with BMR and T2D were gathered through a genome-wide association study (GWAS). Employing T2D as the dependent variable and BMR as the independent variable, SNPs displaying significant correlation with BMR were identified as instrumental variables (IVs). We also performed multivariable MR (MVMR) analyses using two different BMR datasets. The connection between BMR and the risk of T2D was scrutinized using the inverse-variance weighted (IVW) method, and a sensitivity analysis was executed to evaluate heterogeneity and pleiotropy. <b>Results:</b> A potential causal relationship between higher BMR and increased T2D risk was observed (odds ratio (OR), 1.49; 95% confidence interval (CI), 1.31-1.7; <i>p</i> < 0.001). Significant heterogeneity was identified (Cochran's <i>Q</i> test, <i>p</i> < 0.001). However, sensitivity analyses demonstrated the robustness of the findings, with no evidence of horizontal pleiotropy and consistent results in leave-one-out tests. The MR-PRESSO test identified no outliers, confirming the absence of unknown pleiotropic effects. MVMR analyses, however, showed that the evidence became weaker after conditioning on BMI. <b>Conclusion:</b> Our study provides robust evidence of a causal link between higher BMR and increased T2D risk. Despite heterogeneity, sensitivity analyses support our findings, warranting further research to confirm results and explore underlying mechanisms.</p>","PeriodicalId":15576,"journal":{"name":"Journal of Diabetes Research","volume":"2025 ","pages":"6523642"},"PeriodicalIF":3.6,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12085242/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144093934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}