Pub Date : 2025-07-03DOI: 10.1016/j.pcd.2025.06.008
Fereshteh Baygi, Peter Haastrup, Helene Støttrup Andersen, Sonja Wehberg, Jens Søndergaard
Aims
This study aims to analyze recent trends in managing major metabolic risk factors among type 2 diabetes patients (T2D) over time.
Methods
We used data from the Danish Adult Diabetes Registry (DVDD) on health indicators in 2018 and 2021. Information about medication was found using Danish National Prescription Registry (DNPR). Cut points for abnormal values of the included health indicators were identified from the revised National Cholesterol Education Program Adult Treatment Panel III criteria. Correspondingly, reached target levels were defined. A logistic regression model based on generalized estimating equations was fitted to evaluate the difference between 2018 and 2021.
Results
We included 24,343 and 18,027 observations in 2018 and 2021, respectively. Longitudinal analyses showed statistically significant improvement in Low density lipoprotein, Blood pressure, triglycerides, and Glycated hemoglobin control overtime. The use of glucose-lowering and lipid-lowering medications, and antihypertensive medication increased. Obesity declined significantly overtime. Subgroup analyses highlighted improvement in metabolic control across age groups, with TG control declining in T2D patients over 60 years.
Conclusions
We found statistically significant improvement in metabolic risk factor control and medication use over time. Despite progress in managing LDL, BP, and HbA1c, challenges remain in Blood pressure and triglycerides control.
{"title":"Trends in metabolic risk factors control among adults with type 2 diabetes: A comparative study of 2018 and 2021","authors":"Fereshteh Baygi, Peter Haastrup, Helene Støttrup Andersen, Sonja Wehberg, Jens Søndergaard","doi":"10.1016/j.pcd.2025.06.008","DOIUrl":"10.1016/j.pcd.2025.06.008","url":null,"abstract":"<div><h3>Aims</h3><div>This study aims to analyze recent trends in managing major metabolic risk factors among type 2 diabetes patients (T2D) over time.</div></div><div><h3>Methods</h3><div>We used data from the Danish Adult Diabetes Registry (DVDD) on health indicators in 2018 and 2021. Information about medication was found using Danish National Prescription Registry (DNPR). Cut points for abnormal values of the included health indicators were identified from the revised National Cholesterol Education Program Adult Treatment Panel III criteria. Correspondingly, reached target levels were defined. A logistic regression model based on generalized estimating equations was fitted to evaluate the difference between 2018 and 2021.</div></div><div><h3>Results</h3><div>We included 24,343 and 18,027 observations in 2018 and 2021, respectively. Longitudinal analyses showed statistically significant improvement in Low density lipoprotein, Blood pressure, triglycerides, and Glycated hemoglobin control overtime. The use of glucose-lowering and lipid-lowering medications, and antihypertensive medication increased. Obesity declined significantly overtime. Subgroup analyses highlighted improvement in metabolic control across age groups, with TG control declining in T2D patients over 60 years.</div></div><div><h3>Conclusions</h3><div>We found statistically significant improvement in metabolic risk factor control and medication use over time. Despite progress in managing LDL, BP, and HbA1c, challenges remain in Blood pressure and triglycerides control.</div></div>","PeriodicalId":48997,"journal":{"name":"Primary Care Diabetes","volume":"19 5","pages":"Pages 486-496"},"PeriodicalIF":2.3,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144562494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
To evaluate the correlation between continuous glucose monitoring (CGM)-derived metrics such as time in range (TIR) and time below range (TBR) and clinical parameters in Indian patients with type 2 diabetes mellitus (T2DM), providing insights into the effectiveness of CGM in this population.
Methods
This is a single-center, retrospective-observational study of T2DM patients aged 18 or older years using the Freestyle Libre/Libre Pro CGM system. Demographic and clinical data of these patients were extracted from medical records, and glycemic metrics from CGM profiles.
Results
The study included 248 T2DM patients, of whom 72.98 % were male, with a mean age of 60.48 years and a mean HbA1c value of 8.319 %. Linear regression analysis revealed that TIR was significantly negatively associated with HbA1c values (coefficient=-6.746) and duration of diabetes (coefficient=-0.425). The body mass index (BMI) showed a positive association with TIR (coefficient=0.649; P = 0.032). For TBR, only HbA1c values showed a significant negative association (coefficient=-1.051; P = 0.009), whereas age, duration of diabetes, and BMI were not significant predictors.
Conclusion
The study highlights the significant relationships between CGM-derived metrics (TIR and TBR), and clinical parameters in Indian patients with T2DM, and their effectiveness in identifying patients at risk of inadequate glycemic control.
背景:评估印度2型糖尿病(T2DM)患者连续血糖监测(CGM)衍生指标(如范围内时间(TIR)和范围下时间(TBR))与临床参数之间的相关性,为CGM在该人群中的有效性提供见解。方法:这是一项使用Freestyle Libre/Libre Pro CGM系统的18岁及以上T2DM患者的单中心、回顾性观察研究。这些患者的人口学和临床数据从医疗记录中提取,血糖指标从CGM档案中提取。结果:研究纳入T2DM患者248例,其中男性72.98 %,平均年龄60.48岁,平均HbA1c值8.319 %。线性回归分析显示,TIR与HbA1c值(系数=-6.746)和糖尿病病程(系数=-0.425)呈显著负相关。体质指数(BMI)与TIR呈正相关(系数=0.649; = 0.032页)。对于TBR,只有HbA1c值呈显著负相关(系数=-1.051;P = 0.009),而年龄、糖尿病病程和BMI不是显著的预测因子。结论:该研究强调了cgm衍生指标(TIR和TBR)与印度T2DM患者临床参数之间的显著关系,以及它们在识别血糖控制不足风险患者方面的有效性。
{"title":"Association between continuous glucose monitoring derived metrics and clinical parameters in Indian people living with type 2 diabetes","authors":"Purvi Chawla , Alpana Sowani , Rakesh Parikh , Amit Gupta , Jothydev Kesavadev , Rutul Gokalani , Banshi Saboo , Manoj Chawla","doi":"10.1016/j.pcd.2025.06.004","DOIUrl":"10.1016/j.pcd.2025.06.004","url":null,"abstract":"<div><h3>Background</h3><div>To evaluate the correlation between continuous glucose monitoring (CGM)-derived metrics such as time in range (TIR) and time below range (TBR) and clinical parameters in Indian patients with type 2 diabetes mellitus (T2DM), providing insights into the effectiveness of CGM in this population.</div></div><div><h3>Methods</h3><div>This is a single-center, retrospective-observational study of T2DM patients aged 18 or older years using the Freestyle Libre/Libre Pro CGM system. Demographic and clinical data of these patients were extracted from medical records, and glycemic metrics from CGM profiles.</div></div><div><h3>Results</h3><div>The study included 248 T2DM patients, of whom 72.98 % were male, with a mean age of 60.48 years and a mean HbA1c value of 8.319 %. Linear regression analysis revealed that TIR was significantly negatively associated with HbA1c values (coefficient=-6.746) and duration of diabetes (coefficient=-0.425). The body mass index (BMI) showed a positive association with TIR (coefficient=0.649; <em>P</em> = 0.032). For TBR, only HbA1c values showed a significant negative association (coefficient=-1.051; <em>P</em> = 0.009), whereas age, duration of diabetes, and BMI were not significant predictors.</div></div><div><h3>Conclusion</h3><div>The study highlights the significant relationships between CGM-derived metrics (TIR and TBR), and clinical parameters in Indian patients with T2DM, and their effectiveness in identifying patients at risk of inadequate glycemic control.</div></div>","PeriodicalId":48997,"journal":{"name":"Primary Care Diabetes","volume":"19 5","pages":"Pages 453-461"},"PeriodicalIF":2.3,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144512962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-24DOI: 10.1016/j.pcd.2025.06.006
Armin Farahvash , Michelle CM Lee , Rahul Jain , Liisa Jaakkimainen
Aims
Despite the growing interest in the broad applications of semaglutide, real-world data on its use in weight-loss is limited. This study aims to explore the pattern of semaglutide prescriptions in a Canadian family medicine practice.
Methods
This retrospective study included patients ≥ 18 years who were enrolled in Sunnybrook Academic Family practice in Toronto, Canada and prescribed semaglutide between January 2018 and April 2024. Baseline demographics, weight measurements up to 16 months, and prescription details were collected. Descriptive statistics was used to illustrate the patterns of semaglutide prescription.
Results
Of 9930 enrolled patients, 368 (3.71 %) were prescribed semaglutide and 335 used it. Mean age was 57.7 ± 14.1 years and 63.3 % were female. Mean BMI was 36.6 ± 7.84 kg/m2. Semaglutide was discontinued due to side effects in 11 (3.3 %) within one month and 27 (8.1 %) at any time. There was an increasing trend in semaglutide prescriptions from 2018 to 2023. There were increasing semaglutide prescriptions for weight-loss, and prescriptions by family physicians compared to specialists. Follow up measurements showed a mean weight-loss of 7.5 % in 212 patients.
Conclusions
In an Ontario academic family practice, semaglutide is being more frequently prescribed in the primary care setting, particularly for weight loss.
{"title":"Pattern of semaglutide prescription in a real-world Canadian patient cohort","authors":"Armin Farahvash , Michelle CM Lee , Rahul Jain , Liisa Jaakkimainen","doi":"10.1016/j.pcd.2025.06.006","DOIUrl":"10.1016/j.pcd.2025.06.006","url":null,"abstract":"<div><h3>Aims</h3><div>Despite the growing interest in the broad applications of semaglutide, real-world data on its use in weight-loss is limited. This study aims to explore the pattern of semaglutide prescriptions in a Canadian family medicine practice.</div></div><div><h3>Methods</h3><div>This retrospective study included patients ≥ 18 years who were enrolled in Sunnybrook Academic Family practice in Toronto, Canada and prescribed semaglutide between January 2018 and April 2024. Baseline demographics, weight measurements up to 16 months, and prescription details were collected. Descriptive statistics was used to illustrate the patterns of semaglutide prescription.</div></div><div><h3>Results</h3><div>Of 9930 enrolled patients, 368 (3.71 %) were prescribed semaglutide and 335 used it. Mean age was 57.7 ± 14.1 years and 63.3 % were female. Mean BMI was 36.6 ± 7.84 kg/m<sup>2</sup>. Semaglutide was discontinued due to side effects in 11 (3.3 %) within one month and 27 (8.1 %) at any time. There was an increasing trend in semaglutide prescriptions from 2018 to 2023. There were increasing semaglutide prescriptions for weight-loss, and prescriptions by family physicians compared to specialists. Follow up measurements showed a mean weight-loss of 7.5 % in 212 patients.</div></div><div><h3>Conclusions</h3><div>In an Ontario academic family practice, semaglutide is being more frequently prescribed in the primary care setting, particularly for weight loss.</div></div>","PeriodicalId":48997,"journal":{"name":"Primary Care Diabetes","volume":"19 5","pages":"Pages 512-516"},"PeriodicalIF":2.3,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144499983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-16DOI: 10.1016/j.pcd.2025.06.005
Rodrigo M. Carrillo-Larco , Wilmer Cristobal Guzman-Vilca , Xiaolin Xu , Antonio Bernabe-Ortiz
Background
The extent to which people with newly diagnosed diabetes exhibit similar insulin resistance profiles across countries is unknown. Understanding the heterogeneity in glycemic and cardiometabolic profiles at the time of diabetes diagnosis could provide insights for precision medicine.
Methods
We analyzed 14 nationally representative surveys (STEPS). We used anthropometric measures, fasting glucose, triglycerides and HDL cholesterol to calculate eight non-insulin-based markers of insulin resistance: triglyceride and glucose ratio (TyG), TyG with BMI (TyGBMI), TyG with waist circumference (TyGwaist), TyG with waist-to-height ratio (TyGWHtR), triglyceride-to-HDL ratio (TGHDL_r), metabolic score for insulin resistance (METS-IR), lipid accumulation product (LAP), and visceral adiposity index (VAI). We only included subjects with newly diagnosed diabetes. Age- and sex-adjusted multilevel linear regression models were used to estimate country-specific margins of the z-scores for each insulin resistance surrogate (_z suffix refers to predicted z-score margins).
Results
A total of 2531 individuals were analyzed (mean age 47.4 years; 56.6 % were women). The widest disparities across countries in predicted z-scores were observed for TyG-based markers. For instance, the predicted margins for TyGBMI_z ranged from −0.985 (Ethiopia) to 0.682 (Kuwait). In contrast, narrower disparities were noted for other markers, with the smallest gap observed for VAI_z ranging from −0.688 (Bhutan) to 0.491 (Guyana).
Conclusions
The study highlights heterogeneity in metabolic profiles at diabetes diagnosis across countries. These findings emphasize the importance of incorporating population-specific factors into strategies for understanding and addressing the global diabetes burden, particularly in recognizing the diverse cardiometabolic profiles at the time of diagnosis.
{"title":"Non-insulin-based markers of insulin resistance at diabetes diagnosis: A pooled analysis of 14 national health surveys","authors":"Rodrigo M. Carrillo-Larco , Wilmer Cristobal Guzman-Vilca , Xiaolin Xu , Antonio Bernabe-Ortiz","doi":"10.1016/j.pcd.2025.06.005","DOIUrl":"10.1016/j.pcd.2025.06.005","url":null,"abstract":"<div><h3>Background</h3><div>The extent to which people with newly diagnosed diabetes exhibit similar insulin resistance profiles across countries is unknown. Understanding the heterogeneity in glycemic and cardiometabolic profiles at the time of diabetes diagnosis could provide insights for precision medicine.</div></div><div><h3>Methods</h3><div><span><span>We analyzed 14 nationally representative surveys (STEPS). We used anthropometric measures, fasting glucose, </span>triglycerides<span> and HDL cholesterol to calculate eight non-insulin-based markers of insulin resistance: triglyceride and glucose ratio (TyG), TyG with </span></span>BMI<span><span><span> (TyGBMI), TyG with waist circumference (TyGwaist), TyG with waist-to-height ratio (TyGWHtR), triglyceride-to-HDL ratio (TGHDL_r), metabolic score for insulin resistance (METS-IR), lipid accumulation product (LAP), and visceral </span>adiposity index (VAI). We only included subjects with newly diagnosed diabetes. Age- and sex-adjusted multilevel </span>linear regression models were used to estimate country-specific margins of the z-scores for each insulin resistance surrogate (_z suffix refers to predicted z-score margins).</span></div></div><div><h3>Results</h3><div>A total of 2531 individuals were analyzed (mean age 47.4 years; 56.6 % were women). The widest disparities across countries in predicted z-scores were observed for TyG-based markers. For instance, the predicted margins for TyGBMI_z ranged from −0.985 (Ethiopia) to 0.682 (Kuwait). In contrast, narrower disparities were noted for other markers, with the smallest gap observed for VAI_z ranging from −0.688 (Bhutan) to 0.491 (Guyana).</div></div><div><h3>Conclusions</h3><div>The study highlights heterogeneity in metabolic profiles at diabetes diagnosis across countries. These findings emphasize the importance of incorporating population-specific factors into strategies for understanding and addressing the global diabetes burden, particularly in recognizing the diverse cardiometabolic profiles at the time of diagnosis.</div></div>","PeriodicalId":48997,"journal":{"name":"Primary Care Diabetes","volume":"19 5","pages":"Pages 497-503"},"PeriodicalIF":2.3,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144319078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-13DOI: 10.1016/j.pcd.2025.06.002
Ivan Berlin , Romain Guignard , Sandrine Fosse-Edorh , Guillemette Quatremère , Emmanuel Lahaie , Viêt Nguyen-Thanh
Aims
To evaluate the prevalence of tobacco smoking, electronic cigarette, alcohol and cannabis use among individuals diagnosed with diabetes mellitus (wD) compared to those who were not (woD).
Methods
Data of the French Health Barometer 2021 were analyzed.
Results
A total of 24,496 individuals completed the survey; of whom 1772 (8.0 %) reported living with diabetes. There were significantly fewer smokers among individuals wD (22.1 % vs. 30.6 %), but more former and fewer never smokers. Smoking more than 15 cigarettes/day was more common among those wD and they were more tobacco dependent than those woD. 28.7 % of persons wD and 39.5 % woD reported having already tried electronic cigarettes. Current or daily electronic cigarette use was similar. Among those who had tried e-cigarettes, 5.7 % of respondents wD were never smokers (vs. 10.1 % of those woD). Alcohol consumption and cannabis use were significantly less common among respondents wD than those woD, but the prevalence of daily alcohol consumption was similar.
Conclusions
Although smoking prevalence is lower among persons wD compared to those without, smokers wD smoke more and are more tobacco dependent. Tobacco smoking should be assessed and all smokers wD should be enrolled in a smoking cessation program. More data are needed regarding other substance use and its association with diabetes characteristics and self-management.
目的:评估被诊断为糖尿病(wD)的个体与未被诊断为糖尿病(wD)的个体相比,吸烟、电子烟、酒精和大麻使用的流行程度。方法:对法国健康晴雨表2021的数据进行分析。结果:共有24496人完成调查;其中1772人(8.0 %)报告患有糖尿病。在wD个体中,吸烟者明显减少(22.1% % vs. 30.6% %),但吸烟者较多,从不吸烟者较少。d组每天吸烟超过15支更为普遍,他们比d组更依赖烟草。28.7% %的wD和39.5% %的wD报告已经尝试过电子烟。目前或每天使用电子烟的情况相似。在那些尝试过电子烟的人中,5.7% %的wD受访者从未吸烟(10.1% %的wD受访者从未吸烟)。在答复者wD中,酒精消费和大麻使用明显低于wD,但每日酒精消费的流行程度相似。结论:尽管糖尿病患者的吸烟率低于非糖尿病患者,但糖尿病吸烟者吸烟更多,更依赖烟草。应该对吸烟进行评估,所有吸烟者都应该参加戒烟计划。需要更多关于其他物质使用及其与糖尿病特征和自我管理的关系的数据。
{"title":"Tobacco, electronic cigarette, alcohol and cannabis use among individuals diagnosed with diabetes. A national survey in France","authors":"Ivan Berlin , Romain Guignard , Sandrine Fosse-Edorh , Guillemette Quatremère , Emmanuel Lahaie , Viêt Nguyen-Thanh","doi":"10.1016/j.pcd.2025.06.002","DOIUrl":"10.1016/j.pcd.2025.06.002","url":null,"abstract":"<div><h3>Aims</h3><div>To evaluate the prevalence of tobacco smoking, electronic cigarette, alcohol and cannabis use among individuals diagnosed with diabetes mellitus (wD) compared to those who were not (woD).</div></div><div><h3>Methods</h3><div>Data of the French Health Barometer 2021 were analyzed.</div></div><div><h3>Results</h3><div>A total of 24,496 individuals completed the survey; of whom 1772 (8.0 %) reported living with diabetes. There were significantly fewer smokers among individuals wD (22.1 % vs. 30.6 %), but more former and fewer never smokers. Smoking more than 15 cigarettes/day was more common among those wD and they were more tobacco dependent than those woD. 28.7 % of persons wD and 39.5 % woD reported having already tried electronic cigarettes. Current or daily electronic cigarette use was similar. Among those who had tried e-cigarettes, 5.7 % of respondents wD were never smokers (vs. 10.1 % of those woD). Alcohol consumption and cannabis use were significantly less common among respondents wD than those woD, but the prevalence of daily alcohol consumption was similar.</div></div><div><h3>Conclusions</h3><div>Although smoking prevalence is lower among persons wD compared to those without, smokers wD smoke more and are more tobacco dependent. Tobacco smoking should be assessed and all smokers wD should be enrolled in a smoking cessation program. More data are needed regarding other substance use and its association with diabetes characteristics and self-management.</div></div>","PeriodicalId":48997,"journal":{"name":"Primary Care Diabetes","volume":"19 5","pages":"Pages 478-485"},"PeriodicalIF":2.3,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144295539","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-11DOI: 10.1016/j.pcd.2025.06.001
Dalia Al-Abdulrazzaq , Mohammed T. Hudda , Doaa Khalifa Hussein , Hessa Alkandari
Introduction
This study aimed to determine prevalence of Familial FT1D children in type 1 diabetes in Kuwait and compare their characteristics at time of diagnosis including clinical phenotype, and biochemical/immunological profile in comparison to children with non-familial type 1 diabetes (NFT1D).
Methods
This is a population-based observational study of children registered in the Kuwait Childhood-Onset Diabetes electronic Registry (CODeR) between 2011 and 2022 at the time of T1D diagnosis. FT1D was defined as those reporting a first-degree relative with T1D.
Results
Out of 3494 diagnosed with T1D, 391 (11.2 %) had FT1D. The most common first degree relative affected were siblings (5.2 %). Children with FT1D had 49.6 % lower odds of presenting with DKA (p-value<0.001) and 33.4 % lower odds of PICU admission (p = 0.044). Levels of HbA1c were higher and C-peptides lower amongst children with FT1D (both p < 0.001). Children born to a mother with T1D had lower HbA1C (p < 0.001). Children with siblings with T1D lower odds of IAA (p = 0.003).
Conclusion
Children with FT1D in Kuwait had less likelihood of decompensation with a different pancreatic autoimmune profile according to the first degree relative in comparison to the literature. Future studies are required to study the course and outcomes of the disease in children with FT1D.
{"title":"Are children with familial type 1 diabetes from Kuwait different? Report on prevalence, clinical, biochemical, and immunological characteristics","authors":"Dalia Al-Abdulrazzaq , Mohammed T. Hudda , Doaa Khalifa Hussein , Hessa Alkandari","doi":"10.1016/j.pcd.2025.06.001","DOIUrl":"10.1016/j.pcd.2025.06.001","url":null,"abstract":"<div><h3>Introduction</h3><div>This study aimed to determine prevalence of Familial FT1D children in type 1 diabetes in Kuwait and compare their characteristics at time of diagnosis including clinical phenotype, and biochemical/immunological profile in comparison to children with non-familial type 1 diabetes (NFT1D).</div></div><div><h3>Methods</h3><div>This is a population-based observational study of children registered in the Kuwait Childhood-Onset Diabetes electronic Registry (CODeR) between 2011 and 2022 at the time of T1D diagnosis. FT1D was defined as those reporting a first-degree relative with T1D.</div></div><div><h3>Results</h3><div>Out of 3494 diagnosed with T1D, 391 (11.2 %) had FT1D. The most common first degree relative affected were siblings (5.2 %). Children with FT1D had 49.6 % lower odds of presenting with DKA (p-value<0.001) and 33.4 % lower odds of PICU admission (p = 0.044). Levels of HbA1c were higher and C-peptides lower amongst children with FT1D (both p < 0.001). Children born to a mother with T1D had lower HbA1C (p < 0.001). Children with siblings with T1D lower odds of IAA (p = 0.003).</div></div><div><h3>Conclusion</h3><div>Children with FT1D in Kuwait had less likelihood of decompensation with a different pancreatic autoimmune profile according to the first degree relative in comparison to the literature. Future studies are required to study the course and outcomes of the disease in children with FT1D.</div></div>","PeriodicalId":48997,"journal":{"name":"Primary Care Diabetes","volume":"19 5","pages":"Pages 533-539"},"PeriodicalIF":2.3,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144287687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-09DOI: 10.1016/j.pcd.2025.05.010
Francesc Alòs , Ma Àngels Colomer , Judit Bort-Roig , Carlos Martin-Cantera , Alicia Minaya , Ignasi Saigí , Miquel Sitjar-Suñer , Anna Puig-Ribera
Background
Type 2 diabetes (T2D) is a prevalent and costly disease, with sedentary behaviour and physical inactivity as modifiable contributors. Mobile health (mHealth) applications provide complementary strategies for T2D management, but their impact on clinical outcomes remains unclear.
Objective
This study evaluated the efficacy of an mHealth programme promoting “sit less and move more” at work, prescribed in clinical practice, on clinical and cardiovascular risk factors in office employees with T2D.
Methods
A randomized controlled trial compared usual care (n = 25) with a 13-week mHealth intervention (n = 29) using the Walk@Work-App and web-based tools. Outcomes included HbA1c, glycemia, lipid profile, domain-specific sedentary behaviour (Workforce Sitting Questionnaire), objective physical activity and sedentary behaviour (ActivPal), blood pressure, and BMI at baseline, 6, and 12 months.
Results
Compared to the control group and at 12 months, the intervention group showed a significant reduction in HbA1c (p < 0.05), systolic and diastolic blood pressure (p < 0.05). Sitting time decreased during leisure activities while watching TV (p = 0.0052) and using electronic devices (p = 0.0397). The number of sedentary breaks and time spent in sedentary bouts <20 min/day increased (p < 0.05).
Conclusions
An mHealth programme effectively reduced sedentary behaviour, improved HbA1c and blood pressure, serving as a cost-effective lifestyle intervention for adults with T2D.
{"title":"Impact of a primary care-based mobile health intervention to ‘sit less and move more’ on HbA1c, blood pressure, and other clinical outcomes in office employees with type 2 diabetes: A randomized controlled trial","authors":"Francesc Alòs , Ma Àngels Colomer , Judit Bort-Roig , Carlos Martin-Cantera , Alicia Minaya , Ignasi Saigí , Miquel Sitjar-Suñer , Anna Puig-Ribera","doi":"10.1016/j.pcd.2025.05.010","DOIUrl":"10.1016/j.pcd.2025.05.010","url":null,"abstract":"<div><h3>Background</h3><div>Type 2 diabetes (T2D) is a prevalent and costly disease, with sedentary behaviour and physical inactivity as modifiable contributors. Mobile health (mHealth) applications provide complementary strategies for T2D management, but their impact on clinical outcomes remains unclear.</div></div><div><h3>Objective</h3><div>This study evaluated the efficacy of an mHealth programme promoting “sit less and move more” at work, prescribed in clinical practice, on clinical and cardiovascular risk factors in office employees with T2D.</div></div><div><h3>Methods</h3><div>A randomized controlled trial compared usual care (n = 25) with a 13-week mHealth intervention (n = 29) using the Walk@Work-App and web-based tools. Outcomes included HbA1c, glycemia, lipid profile, domain-specific sedentary behaviour (Workforce Sitting Questionnaire), objective physical activity and sedentary behaviour (ActivPal), blood pressure, and BMI at baseline, 6, and 12 months.</div></div><div><h3>Results</h3><div>Compared to the control group and at 12 months, the intervention group showed a significant reduction in HbA1c (p < 0.05), systolic and diastolic blood pressure (p < 0.05). Sitting time decreased during leisure activities while watching TV (p = 0.0052) and using electronic devices (p = 0.0397). The number of sedentary breaks and time spent in sedentary bouts <20 min/day increased (p < 0.05).</div></div><div><h3>Conclusions</h3><div>An mHealth programme effectively reduced sedentary behaviour, improved HbA1c and blood pressure, serving as a cost-effective lifestyle intervention for adults with T2D.</div></div><div><h3>Trial registration</h3><div>ClinicalTrials.gov NCT04092738.<span><span>https://clinicaltrials.gov/ct2/show/NCT04092738</span><svg><path></path></svg></span></div></div>","PeriodicalId":48997,"journal":{"name":"Primary Care Diabetes","volume":"19 5","pages":"Pages 434-445"},"PeriodicalIF":2.3,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144268296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}