Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy最新文献

{"title":"IL-35 Ameliorates Myocardial Strain in Mice with T2DM-Induced Cardiac Injury: Assessment by Layer-Specific Strain.","authors":"Ziying Wang, Leilei Han, Mingyi Dong, Yunman Liu, Xiangsui Hu, Long Huang, Chunquan Zhang, Liangyun Guo, Shengbo Liu, Lingmin Liao","doi":"10.2147/DMSO.S510594","DOIUrl":"https://doi.org/10.2147/DMSO.S510594","url":null,"abstract":"<p><strong>Purpose: </strong>The established association between endothelial dysfunction and the pathogenesis of cardiovascular disease in diabetic individuals has been well-documented. Interleukin-35 (IL-35) can suppress inflammatory processes and ameliorate endothelial dysfunction. This study aimed to evaluate the effect of IL-35 treatment on diabetic mice with diabetes-induced cardiac injury using layer-specific strain analysis.</p><p><strong>Patients and methods: </strong>Twenty-six mice were allocated into three groups: the control group (CON, n=10), the diabetic group (DM, n=10), and the diabetic group treated with IL-35 (DMIL, n=6). The DM and DMIL groups were subjected to a high-fat diet and streptozotocin to induce diabetes, with the DMIL group receiving an additional 6 weeks of IL-35 treatment. Measurements of body weight, blood glucose levels, routine echocardiographic parameters, and layer-specific strain were conducted at baseline, post-diabetes induction, and post-treatment. Morphological changes in cardiomyocytes were examined in pathological heart sections, and cardiac inflammation was detected by protein immunoblotting.</p><p><strong>Results: </strong>After inducing diabetes, diabetic mice exhibited notable systolic and diastolic dysfunction. IL-35 treatment significantly reduced myocardial inflammatory infiltration and improved myocardial fibrosis in the DMIL group in comparison to the DM group. Only diastolic function E/e' showed a significant improvement when comparing conventional echocardiograms between the DMIL and DM groups. In the context of layered strain analysis, the DMIL group exhibited a notable enhancement in middle and epicardial global longitudinal strain and global radial strain when compared to the DM group.</p><p><strong>Conclusion: </strong>IL-35 can enhance myocardial function in diabetic mice. Layer-specific strain could serve as a valuable tool for evaluating interventions in diabetes.</p>","PeriodicalId":11116,"journal":{"name":"Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy","volume":"18 ","pages":"1551-1562"},"PeriodicalIF":2.8,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12079041/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144076649","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":"Metabolic Comorbidities Among Relatives of Type 2 Diabetes Patients Stratified by Weight: Implications for Prevention and Care.","authors":"Ana Cristina García-Ulloa, Liliana Pérez-Peralta, Karla Lugo-Bautista, Víctor A Martínez-Sánchez, Roopa Mehta, Sergio Hernández-Jiménez","doi":"10.2147/DMSO.S483171","DOIUrl":"10.2147/DMSO.S483171","url":null,"abstract":"<p><strong>Introduction: </strong>Diabetes, affecting 18.3% of young adults in Mexico (6), is influenced by both genetic factors and shared unhealthy habits within families.</p><p><strong>Objective: </strong>To determine the metabolic abnormalities in relatives of people with T2D, stratified by body mass index.</p><p><strong>Materials and methods: </strong>This observational, descriptive study was conducted at the Center for Comprehensive Care for Patients with Diabetes (CAIPaDi). The study involved relatives of participants with type 2 diabetes mellitus (T2DM), recruited between June 2017 and December 2020. The relatives were people without diabetes, including spouses, siblings, offspring, or close family members aged 18 to 65 who spent over four days a week with the patient. Exclusion criteria included relatives diagnosed with diabetes, smokers, or any individual from a patient-relative pair that was excluded. All participants underwent laboratory tests and body measurements. Relatives were classified into three groups based on body weight: normal weight, overweight, and obesity. The relatives attended four monthly visits and then annual evaluations. Ethical approval was obtained.</p><p><strong>Results: </strong>The study enrolled 220 relatives of people with T2DM, 69% women, median age 49±12 years; 19.5% with normal weight, 40.4% overweight, and 40% with obesity. Prediabetes (39.4%), dyslipidemia (67.2%), and abnormal liver function tests (32.2%) were prevalent. Higher levels of triglycerides and LDL cholesterol were associated with increased risk for comorbid conditions. Anxiety and depression showed no significant differences across weight categories.</p><p><strong>Conclusion: </strong>These results highlight the importance of overweight and obesity as factors associated with the presence of comorbidities and the metabolic syndrome. It is essential to implement strategies to promote healthy habits among family members of people with diabetes, especially in those who are overweight or obese to reduce the risk of developing future metabolic and cardiovascular diseases.</p>","PeriodicalId":11116,"journal":{"name":"Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy","volume":"18 ","pages":"1539-1549"},"PeriodicalIF":2.8,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12071750/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143986092","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":"Sex-Specific Ensemble Models for Type 2 Diabetes Classification in the Mexican Population.","authors":"Miguel M Mendoza-Mendoza, Samara Acosta-Jiménez, Carlos E Galván-Tejada, Valeria Maeda-Gutiérrez, José M Celaya-Padilla, Jorge I Galván-Tejada, Miguel Cruz","doi":"10.2147/DMSO.S517905","DOIUrl":"https://doi.org/10.2147/DMSO.S517905","url":null,"abstract":"<p><strong>Background: </strong>Type 2 diabetes (T2D) is considered a global pandemic by the World Health Organization (WHO), with a growing prevalence, particularly in Mexico. Accurate early diagnosis remains a challenge, especially when accounting for biological sex-based differences.</p><p><strong>Purpose: </strong>This study aims to enhance the classification of T2D in the Mexican population by applying sex-specific ensemble models combined with genetic algorithm-based feature selection.</p><p><strong>Materials and methods: </strong>A dataset of 1787 Mexican patients (895 females, 892 males) is analyzed. Data are split by sex, and feature selection is performed using GALGO, a genetic algorithm-based tool. Classification models including Random Forest, K-Nearest Neighbor, Support Vector Machine, and Logistic Regression are trained and evaluated. Ensemble stacking models are constructed separately for each sex to improve classification performance.</p><p><strong>Results: </strong>The male-specific ensemble model achieved 94% specificity and 96% sensitivity, while the female-specific model reached 96% specificity and 90% sensitivity. Both models demonstrated strong overall performance.</p><p><strong>Conclusion: </strong>The proposed sex-specific ensemble models represent a clinically valuable approach to personalized T2D diagnosis. By identifying sex-specific predictive features, this work supports the development of precision medicine tools tailored to the Mexican population. This contributes to improving diagnostic precision and supporting more equitable and personalized approaches in clinical settings.</p>","PeriodicalId":11116,"journal":{"name":"Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy","volume":"18 ","pages":"1501-1525"},"PeriodicalIF":2.8,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12068399/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143973555","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":"Correlation Analyses of the Consumption of Artificial Sweeteners During Pregnancy and the Incidence of Gestational Diabetes Mellitus.","authors":"Li Huang, Yanling Huang, Huan Zhang, Chunmei Lyu","doi":"10.2147/DMSO.S513544","DOIUrl":"https://doi.org/10.2147/DMSO.S513544","url":null,"abstract":"<p><strong>Background: </strong>Pregnant women face a higher risk of developing gestational diabetes mellitus (GDM) due to the poor dietary habits. GDM can influence the health of both mothers and child. As food processing develops, pregnant women inevitably consume artificial sweeteners, among with the three most common are sucralose, aspartame, and sodium saccharin. It is a concern whether artificial sweeteners consumed during pregnancy increases GDM risk.</p><p><strong>Purpose: </strong>To analyze the association between artificial sweetener consumption during pregnancy and the incidence of GDM.</p><p><strong>Methods: </strong>422 pregnant women from a Guangdong hospital were surveyed through convenience sampling. The questionnaire collected general information, artificial sweeteners consumption and other GDM related factors. According to the International Association of Diabetes and Pregnancy Study Groups (IADPSG), GDM was diagnosed was met the 75g oral glucose tolerance test (OGTT) at any time of pregnancy. The consumption of artificial sweeteners was categorized into low and high-consumption groups according to a four-point scale. A multifactorial logistic regression model was used to control for confounders and analyze the association between artificial sweetener consumption andGDM.</p><p><strong>Results: </strong>This study included 422 pregnant women with a mean age of (32 ± 3.73) years and a GDM incidence of 13.74%. The GDM incidence was higher in the high artificial sweeteners consumption group (56.90%), than in the low consumption group (43.10%) (p < 0.05). Increased artificial sweetener consumption was linked to a higher GDM risk (OR=2.66,95% CI: 1.48-1.78). High artificial sweeteners consumption was a GDM risk factor in BMI-stratified analyses.</p><p><strong>Conclusion: </strong>High consumption of artificial sweeteners, like sucralose, aspartame, and sodium saccharin, is linked to increased risk of GDM in pregnant women. Further research is required to confirm results and explore mechanism, guiding healthy eating habits during pregnancy.</p>","PeriodicalId":11116,"journal":{"name":"Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy","volume":"18 ","pages":"1527-1538"},"PeriodicalIF":2.8,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12068279/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143972453","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":"Association Between Uric Acid to HDL-C Ratio and Metabolic Dysfunction-Associated Steatotic Liver Disease in Type 2 Diabetes Mellitus: A Cross-Sectional Study.","authors":"Xiangyun Zhu, Han Yin, Jing Han, Xiaoyan Zhang, Qing Han, Weixia Sun, Yijun Liu, Wenxuan Tao, Xinliang Liu, Guofeng Wang, Ling Li","doi":"10.2147/DMSO.S520688","DOIUrl":"https://doi.org/10.2147/DMSO.S520688","url":null,"abstract":"<p><strong>Background: </strong>Patients with type 2 diabetes mellitus (T2DM) exhibit an elevated risk of developing metabolic dysfunction-associated steatotic liver disease (MASLD). The uric acid to high-density lipoprotein cholesterol ratio (UHR) has emerged as a novel metabolic biomarker implicated in MASLD pathogenesis. This study aimed to evaluate the association between UHR and MASLD in a T2DM population.</p><p><strong>Methods: </strong>In this cross-sectional study, we analyzed clinical data from 1081 T2DM patients (464 without MASLD, 617 with MASLD). Physiological and biochemical parameters were collected and analyzed. UHR was calculated as [uric acid (mg/dL)/HDL-C (mg/dL)] × 100%. Univariate and multivariate logistic regression analyses were performed to examine the association between UHR and MASLD.</p><p><strong>Results: </strong>T2DM patients with MASLD had significantly higher UHR levels than those without MASLD (12.12[9.06-16.83] vs 10.36[7.65-14.08], <i>p</i><0.001). UHR showed a strong positive correlation with TG/HDL (<i>r</i> =0.673, <i>p</i> < 0.001), moderate correlations with TG (<i>r</i> = 0.516, <i>p</i> < 0.001) and TC/HDL (<i>r</i> =0.548, <i>p</i> < 0.001), weak but significant associations with BMI (<i>r</i> = 0.330), WHR (<i>r</i> = 0.289), HOMA-IR (<i>r</i> = 0.121), ALT (<i>r</i> = 0.123), and GGT (<i>r</i> = 0.267) (all <i>p</i> < 0.05). Multivariate logistic regression showed that elevated UHR levels were significantly associated with increased MASLD risk (adjusted OR = 1.057, 95% CI: 1.016-1.100, <i>p</i> = 0.006), after adjusting for age, diabetes duration, BMI, blood pressure, and biochemical confounders.</p><p><strong>Conclusion: </strong>Elevated UHR is independently associated with MASLD in T2DM patients, suggesting its clinical relevance in MASLD screening among this high-risk population.</p>","PeriodicalId":11116,"journal":{"name":"Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy","volume":"18 ","pages":"1459-1466"},"PeriodicalIF":2.8,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12067459/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143995015","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":"Correlations Between TyG-Related Indices and Bone Health: A Cross-Sectional Study of Osteoporosis in a Rural Chinese Population.","authors":"Fang Jia, Yuting Lu, Haotian Wen, Jun Tu, Xianjia Ning, Jinghua Wang, Ping Li","doi":"10.2147/DMSO.S505024","DOIUrl":"https://doi.org/10.2147/DMSO.S505024","url":null,"abstract":"<p><strong>Background: </strong>Osteoporosis (OP) is a major metabolic bone disease with significant health and socioeconomic impacts. The triglyceride-glucose (TyG) index and its derivatives, which reflect insulin resistance (IR), may play a role in bone metabolism. However, the relationship between TyG indices and OP is unclear. This study aimed to explore the association between TyG indices and OP in a low-income rural Chinese population.</p><p><strong>Methods: </strong>This cross-sectional study was conducted in rural Tianjin, China, in 2020. Participants aged 60 years or older were included. Data were collected through interviews, including sociodemographic and clinical information, and physical examinations. Bone mineral density (BMD) of the femoral neck was measured using dual-energy X-ray absorptiometry (DXA). Multivariate regression models and restricted cubic spline (RCS) curves were used to assess the relationships between TyG indices and OP.</p><p><strong>Results: </strong>A total of 437 individuals were included in the final analysis, with 38 diagnosed with osteoporosis (prevalence of 8.7%). After adjusting for all covariates, each 1-unit increase in triglyceride-glucose-body mass index (TyG-BMI) was associated with a 2% lower risk of osteoporosis, (OR: 0.98, 95% CI: 0.96-1.00, P=0.029), especially in women, individuals with hypertension, and non-diabetic populations. The OP risk of the fourth quartile (Q4) of the triglyceride-glucose-waist circumference (TyG-WC) index after correcting for all covariates is 5.58 times that of the first quartile (Q1)(OR: 5.58, 95% CI: 1.14-27.41, P=0.034). Linear regression showed a positive correlation between TyG-BMI and BMD, particularly in women, individuals under 70, and those with hypertension or non-hypertension, with the strongest correlation in the non-hypertensive group.</p><p><strong>Conclusion: </strong>TyG-related indices are associated with OP, suggesting a potential role in the early prevention and management of osteoporosis in this population, ultimately improving public health outcomes.</p>","PeriodicalId":11116,"journal":{"name":"Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy","volume":"18 ","pages":"1445-1458"},"PeriodicalIF":2.8,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12067712/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143955924","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":"Intra-Pancreatic Fat Deposition and Pancreatitis: Insights from the COSMOS Program.","authors":"Juyeon Ko, Maxim S Petrov","doi":"10.2147/DMSO.S400276","DOIUrl":"https://doi.org/10.2147/DMSO.S400276","url":null,"abstract":"<p><p>The global burden of pancreatitis is substantial, bedevilled by the lack of pathogenesis-based treatments for acute pancreatitis and chronic pancreatitis. The integrated PANDORA (PANcreatic Diseases Originating from intRa-pancreatic fAt) hypothesis \"moved the needle\" on thinking why pancreatitis develops by bringing fat in the pancreas to the fore. A total of 20 original clinical studies exploring an uncharted territory of fat in the pancreas and pancreatitis were published between 2019 and 2024 as part of the COSMOS (Clinical and epidemiOlogical inveStigations in Metabolism, nutritiOn, and pancreatic diseaseS) program. This review concisely summarises the novel insights into the relationship of intra-pancreatic fat deposition with endocrine and exocrine pancreatic functions, behavioural and nutritional factors, as well as various biomarkers. Tapping into the wealth of knowledge derived from the COSMOS program can unlock new perspectives on the treatment of acute pancreatitis and chronic pancreatitis.</p>","PeriodicalId":11116,"journal":{"name":"Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy","volume":"18 ","pages":"1489-1500"},"PeriodicalIF":2.8,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12067683/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143973394","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":"Establishing a Prediction Model for Weight Loss Outcomes After LSG in Chinese Obese Patients with BMI ≥ 32.5 Kg/m² Using Body Composition Data.","authors":"Liang Wang, Yilan Sun, Qing Sang, Zheng Wang, Chengyuan Yu, Zhehong Li, Mingyue Shang, Nengwei Zhang, Dexiao Du","doi":"10.2147/DMSO.S508067","DOIUrl":"https://doi.org/10.2147/DMSO.S508067","url":null,"abstract":"<p><strong>Background: </strong>Laparoscopic sleeve gastrectomy (LSG) is associated with sustained and substantial weight loss. However, suboptimal results are observed in certain patients.</p><p><strong>Objective: </strong>Drawing from body composition data at our center, clinically accessible predictive factors for weight loss outcomes were identified, leading to the development and validation of a preoperative predictive model for weight loss following LSG.</p><p><strong>Methods and materials: </strong>A retrospective analysis was conducted on the general clinical baseline and body composition data of obese patients (body mass index [BMI] ≥ 32.5 kg/m²) who underwent LSG between December 2016 and December 2022. Independent predictors for weight loss outcomes were selected through univariate logistic regression, random forest analysis, and multivariate logistic regression. Subsequently, a nomogram was developed to predict weight loss outcomes and was evaluated for discrimination, accuracy, and clinical utility, with validation performed in a separate cohort.</p><p><strong>Results: </strong>A total of 473 patients with mean BMI were included. The preoperative resting energy expenditure to body weight ratio (REE/BW), fat-free mass index (FFMI), and waist circumference (WC) emerged as independent predictive factors for weight loss outcomes at one year post-LSG. These body composition parameters were incorporated into the construction of an Inbody predictive nomogram, which yielded area under the curve (AUC) values of 0.868 (95% CI: 0.826-0.902) for the modeling cohort and 0.829 (95% CI: 0.756-0.887) for the validation cohort. Calibration curves, decision curve analysis (DCA), and clinical impact curves (CIC) from both groups demonstrated the model's robust discrimination, accuracy, and clinical utility.</p><p><strong>Conclusion: </strong>In obese Chinese patients with a BMI ≥ 32.5 kg/m², the Inbody-based nomogram integrating REE/BW, FFMI, and WC offers an effective preoperative tool for predicting weight loss outcomes one year after LSG, facilitating surgical planning and postoperative management.</p>","PeriodicalId":11116,"journal":{"name":"Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy","volume":"18 ","pages":"1467-1487"},"PeriodicalIF":2.8,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12067650/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143986090","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 Relationship Between Diabetes Knowledge and Diabetes Self-Care Behaviors in Relation to Diabetes Distress in Type 2 Diabetes Mellitus: A Cross-Sectional Study in Eastern Taiwan.","authors":"Yi-Chien Chen, Yi-Hua Huang, Chao-Hsien Lee","doi":"10.2147/DMSO.S503754","DOIUrl":"https://doi.org/10.2147/DMSO.S503754","url":null,"abstract":"<p><strong>Introduction: </strong>Diabetes is a highly prevalent metabolic disease worldwide. In Taiwan, healthcare services emphasize self-management strategies and interventions focusing on self-care. However, there is a lack of literature on diabetes distress (DD). Therefore, this study aims to explore the relationship between demographic characteristics, diabetes knowledge, and diabetes self-care behaviors with diabetes distress among Type 2 diabetes mellitus (T2DM) patients and identify predictive factors.</p><p><strong>Methods: </strong>This study employs a cross-sectional survey, targeting T2DM patients from the internal medicine outpatient clinic of a regional hospital in eastern Taiwan. Participants were recruited through purposive sampling from April 11, 2023, to May 16, 2023. The study examines the correlation between diabetes knowledge, diabetes self-care behaviors, and diabetes distress, as well as other influencing factors. The data analysis methods include (1) differences in diabetes knowledge, diabetes self-care behaviors, and diabetes distress scores, analyzed using <i>t</i>-tests or ANOVA, (2) Scheffe's tests for significant differences identified by ANOVA to locate group differences in means, and (3) multiple regression analysis to identify key predictive factors of diabetes distress.</p><p><strong>Results: </strong>The findings reveal that both diabetes knowledge (β=-0.046, p=0.029) and diabetes self-care behaviors (β=-0.186, p=0.006) significantly predict diabetes distress. Additionally, gender (β=0.251, p=0.004), family history of diabetes (β=0.213, p=0.017), and diabetes complications (β=0.228, p=0.018) are significant predictors of diabetes distress. The overall <i>F</i>-test reached significance (F=7.61, p<0.001), and the explanatory power of the regression model (R²=0.17) is statistically significant, indicating that diabetes knowledge, diabetes self-care behaviors, gender, family history of diabetes, and diabetes complications are important predictors of diabetes distress in T2DM patients. These findings can provide valuable insights for clinicians in identifying risk factors for diabetes distress and understanding the factors that influence diabetes distress in T2DM patients.</p><p><strong>Conclusion: </strong>It is crucial to integrate the assessment and management of diabetes distress into routine diabetes care and even implement distress screening during the health promotion stage. Strengthening the ability of healthcare professionals to identify diabetes distress through early detection of risk factors and providing individualized interventions and care plans tailored to T2DM patients is of great importance.</p>","PeriodicalId":11116,"journal":{"name":"Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy","volume":"18 ","pages":"1431-1443"},"PeriodicalIF":2.8,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12063618/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143995088","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 Effects of Type 2 Diabetes on Postoperative Pneumonia in Patients with Video-Assisted Thoracoscopic Surgery: A Retrospective Cohort Study.","authors":"Xue-E Su, Yu-Shen Yang, Shan-Hu Wu, Hai-Jun Weng, He-Fan He, Bao-Yuan Xie","doi":"10.2147/DMSO.S499439","DOIUrl":"https://doi.org/10.2147/DMSO.S499439","url":null,"abstract":"<p><strong>Purpose: </strong>The aim of the study was to investigate the relationship between type 2 diabetes (T2DM) and postoperative pneumonia (POP) after video-assisted thoracoscopic surgery, and explore the risk factors involved in the prediction of postoperative pneumonia in patients with T2DM.</p><p><strong>Patients and methods: </strong>A retrospective study was conducted on 476 inpatients with video-assisted thoracoscopic surgery (VATS) in The Second Hospital of Fujian Medical University between January 2019 and December 2023. Demographic information, clinical variables including surgical data and preoperative laboratory indices that potentially impact POP were included. Subgroup and logistic analysis were performed to demonstrate risk factors for POP in patients with T2DM.</p><p><strong>Results: </strong>The incidences of POP were higher in patients with T2DM than patients without this condition (T2DM 23.08% vs non-diabetes 10.54%, P<0.001). Logistic analysis further demonstrated that T2DM [odds ratio (OR), 2.07, 95% confidence interval (CI), 1.13-3.83] is an independent risk of POP after adjusting for sex, age, hospital stay, American Society of Anesthesiologists (ASA) score, and tumor location. Thereafter, the subgroup analysis demonstrated that patients with T2DM in the setting of male gender, positive P53 and chemoradiotherapy displayed a higher incidence rate of POP. Subsequent logistic analysis indicated that sex and tumor location were independently associated with POP in patients with T2DM.</p><p><strong>Conclusion: </strong>Patients with T2DM who underwent VATS display a higher incidence of POP than those without this disease. Additionally, male gender and tumor location were independent risk factor for POP in patients with T2DM. Thus, male patients with T2DM, perioperative management should be improved and optimized for patient safety.</p>","PeriodicalId":11116,"journal":{"name":"Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy","volume":"18 ","pages":"1419-1430"},"PeriodicalIF":2.8,"publicationDate":"2025-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12061054/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143984036","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}