Effective Diabetes Management Research Articles

Socioeconomic gradient of lean diabetes in India: Evidence from National Family Health Survey, 2019-21.

Diabetes is a global public health challenge, particularly in India, affecting millions. Among diabetic patients, lean type 2 diabetes is a severe subtype with higher microvascular complication risks. While studies on the prevalence, variations and risk factors of diabetes are increasingly available, there has been limited research on the prevalence, variations, and socioeconomic disparities of lean diabetes in India. This study used NFHS-5 microdata, and lean diabetes is defined as those with a BMI level of under 25 and random blood glucose levels of over 200 or under diabetic medication. Descriptive and multivariate analyses were conducted to understand lean diabetes variations and related factors. Socioeconomic disparities were measured using concentration curves and the concentration index. The study unveiled important insights into lean diabetes in India. 8.2% of men and 6.0% of women had elevated blood glucose levels, indicating a significant diabetes burden. Notably, 2.9% of men and 2.4% of women were diagnosed with lean diabetes. Among type 2 diabetics, 52.56% of males and 43.57% of females had lean type 2 diabetes. Lean diabetes prevalence varied from 11.6% in the poorest quintile to 1.1% in the richest. The odds of lean type 2 diabetes among those in the poorest quintile was 6.7 compared to the richest quintile. The concentration index of lean type 2 diabetes was -0.42 for men and -0.39 for women, suggesting a disproportionate impact on lower socioeconomic groups. This study advances our understanding of the complex interplay between socioeconomic factors and lean type 2 diabetes in India. To address the rising burden of lean diabetes among lower socioeconomic strata, policymakers and healthcare professionals must prioritise initiatives enhancing healthcare access, promoting healthy lifestyles, and ensuring effective diabetes management. By addressing socioeconomic disparities and implementing interventions for vulnerable populations, India can reduce diabetes-related mortality and enhance its citizens' overall health.

Impact of Betel quid on hyperglycaemia among diabetes patients in Bangladesh

This study explores the impact of betel quid (BQ) chewing on hyperglycaemia among diabetic patients in northeastern Bangladesh. BQ, a prevalent social habit in Asia, is often used without awareness of its harmful effects. We focus on the role of areca nut, a key addictive component in BQ, in influencing hyperglycaemia. Random blood glucose (RBG) tests were conducted on 961 diabetic patients, alongside lifestyle data, from August 2018 to February 2019 at Sylhet Diabetic Hospital, Bangladesh. Statistical analyses, including t-tests, Analysis of the variance (ANOVA), Fisher's exact test, and Multivariate regression, were employed to assess RBG status in BQ chewer vs. non-chewer. BQ chewers had higher RBG levels than non-chewers (263.3 ± 4.768 vs. 251.0 ± 5.915, mean ± SEM). Notably, raw areca nut users in the BQ group had significantly higher RBG levels than dry nut users (278.0 ± 8.790 vs. 252.1 ± 6.835 mg/dl), with up to 50 times more hyperglycemic effect. BQ chewing was associated with elevated RBG levels across different. Lack of awareness was also prevalent among BQ chewers while individuals with desk jobs showed higher RBG levels. In conclusion, diabetic betel quid chewers experience elevated hyperglycaemia levels, highlighting the. urgent need to discourage BQ use for effective diabetes management.

Impact of Gender on Patient Experiences of Self-Management in Type 2 Diabetes: A Qualitative Study.

This study aims to identify gender disparities in knowledge, attitudes and behaviors related to self-management and control of Type 2 diabetes Mellitus (T2DM) among primary care patients. The research was conducted across multiple Spanish cities. The study involved 8 Primary Care Centres located in four distinct regions of Spain: East (Barcelona), Centre (Madrid), North (Pamplona and Zumaia) and South (Vélez-Málaga and Málaga). A total of 111 individuals diagnosed with T2DM, comprising 52 women and 59 men, participated in 12 group discussions at these primary healthcare centers from February to June 2015. Participation was voluntary, and all participants provided informed consent by signing the consent form. A qualitative hermeneutic phenomenological study with a maximum variation sample was done. Participant profiles were defined based on gender, age, place of residence, type of treatment, years living with T2DM and the presence or absence of a cardiovascular event. Thematic analysis was used to analyze the data. Participants were aware that diabetes is a chronic condition, with varied levels of concern regarding the diagnosis. Participants' locus of control influenced their perception of the disease's cause, with women attributing it to stress and emotional situations, while men linked it to risky behaviors. Self-management strategies were shaped by beliefs about diabetes, with both genders facing challenges in implementing recommended practices. Gender differences were also evident in caregiving roles, with men receiving more family support for diet adherence, while women prioritized family needs over their self-care. Participants expressed satisfaction with professional-patient interactions but highlighted the need for more accessible information and specialist care, suggesting support groups for women and clear health guidelines for men. Gender differences significantly influence how patients perceive and manage type 2 diabetes, with women experiencing greater concern and care burden compared to men. Effective diabetes management requires tailored support that addresses these gender-specific challenges. Enhancing healthcare services with clear guidelines and support groups can improve self-management outcomes in both men and women.

An observational multi-center study on type 2 diabetes treatment prescribing pattern and patient adherence to treatment

In 2021, the International Diabetes Federation (IDF) reported that the prevalence of diabetes in Pakistan was 9.6%, higher than the global average. However, adherence to treatment guidelines, e.g., American Diabetes Association and Pakistan Endocrine Society and prescription patterns for Oral anti-diabetes (OAD), is poorly understood in Pakistan. Therefore, this study aimed to examine the prescribing practices of anti-diabetic medications, an association of lifestyle modification with drugs prescribed, and their effectiveness in preserving ideal glycemic levels in diabetic patients undergoing treatment in tertiary care teaching hospitals in rural and urban Pakistan. In this cross-sectional study, data were collected from prescriptions of outpatient diabetic patients from different rural and urban tertiary care hospitals between October 2021 and February 2022. 388 participants were enrolled in the study for a detailed interview on prescription evaluation and glycemic control. The coinvestigators conducted an interview with the patient and used a pre-validated questionnaire to collect the data. The relationship between following treatment guidelines and clinical and demographic factors was found using chi-square tests for bivariate analyses. The study reported that out of 388, the mean ages of the patients were 48 ± 12.4, and the majority were female. It was observed that 60.1% and 66.5% have uncontrolled fasting and random blood glucose, respectively. The education level of the study participants was also below par to have a complete understanding of the medical condition and self-management therapy. Even though they were taking the right medications—an average prescription regimen included 5.08 medications—52.1% of the studied people had glycated haemoglobin (HbA1c) levels higher than the therapeutic threshold set by the International Diabetes Federation. In this modern era, it was observed that the prescribing trend was still focused on traditional therapeutic options Biguanides, sulfonylureas, and dipeptidyl peptidase-4 inhibitors were prescribed in 64.6% of the patients. A significant association was found between glycemic control and body mass index, adherence to lifestyle modifications, and the number of medications prescribed (p-value < 0.05). The study reveals that Pakistan's prescribing practices do not align with international and national guidelines, leading to a high prevalence of uncontrolled diabetes and widespread use of polypharmacy among patients. To address this issue, policymakers should prioritize establishing a comprehensive national diabetes action plan. Additionally, there is a pressing need to develop diabetes education and awareness programs emphasizing the importance of lifestyle modifications for effective diabetes management.

What Differentiates Rural and Urban Patients with Type 1 Diabetes-A Pilot Study.

The effective management of diabetes is a complex issue and may be determined according to numerous patient-dependent and patient-independent factors. This study aimed to analyze the relationship between the place of residence and selected sociodemographic, psychological and diabetes-related parameters in people with type 1 diabetes (T1D). This study was conducted on 419 adults with T1D using nonprobability sampling. The following questionnaires were used: the Diabetes Dietary Guidelines Adherence Index, the Acceptance of Illness Scale, the Sense of Responsibility for Health Scale, the Diabetes Eating Problem Survey-Revised scale, the Eating Attitudes Test and questions on sociodemographic and diabetes-related parameters. People living in rural areas were characterized by a significantly lower age and level of education, a higher incidence of being overweight, a higher glycated hemoglobin concentration, a lower number of glucose measurements during the day and a higher level of acceptance of the disease compared to urban residents. The degree of adherence to dietary recommendations and the sense of responsibility for one's own health were significantly higher among urban residents. It is necessary to assess barriers to a proper diet and to increase the effectiveness in managing the disease in rural communities. Targeted actions promoting the health of type 1 diabetics need to be developed with particular emphasis on patients from rural areas.

Advancements in Nutritional Strategies for Gestational Diabetes Management: A Systematic Review of Recent Evidence.

Gestational diabetes mellitus (GDM) is defined as hyperglycaemia first detected at any time during pregnancy with values lower than those determined by the WHO for diabetes diagnosis in adults. This pathology, with a worldwide prevalence of 13.4%, causes significant maternal and foetal risks. The first line of treatment consists of maintaining normo-glycaemia through an adequate diet and lifestyle changes. The aim is to synthesize the scientific evidence updating the nutritional recommendations for the effective management of GDM. A systematic review of the scientific literature was conducted following the PRISMA guidelines. Randomized clinical trials published within the last five years and providing information on nutritional recommendations to achieve an effective management of gestational diabetes were selected. The databases searched were PubMed, the WOS Core Collection, SCOPUS, and CINAHL, using the MeSH terms: "Diabetes, Gestational"; "Nutrition Assessment (nutrition*)"; "Diet"; "Eating"; and "Food"; with the Boolean operators "AND" and "OR". The PEDro scale (Physiotherapy Evidence Database) was used to assess the scientific quality of the studies, with a mean score of 8.9, indicating an average good scientific quality. Results: A total of 809 papers were collected, of which, after applying the inclusion and exclusion criteria, 14 randomized clinical trials were selected. Probiotic supplementation and co-supplementation with vitamin D have been found to be the most beneficial options for both mothers with GDM and neonates, but the most effective regimens are not known. Diets enriched with extra virgin olive oil (EVOO) and oat bran, as well as some recommendations focused on carbohydrates also seem effective, as well as diets designed for this group of women with GDM such as "CHOICE". Conclusions: Although there are numerous proposals that have been published in recent years focused on the diet of women with GDM in order to improve their results and those of their children, it is the supplementation with probiotics and the co-supplementation with vitamin D that is most agreed upon as beneficial; however, more research is needed into which protocols are most effective. Other proposals that could also be beneficial should be further studied.

Managing comorbidities in chronic kidney disease reduces utilization and costs

BackgroundEffective management of comorbid diabetes and hypertension in patients with chronic kidney disease (CKD) is important for optimal outcomes. However, little is known about this relationship from a health plan perspective. The objective of this study was to evaluate the association of effective management of comorbid diabetes and/or hypertension with healthcare resource utilization (HCRU) in patients with chronic kidney disease (CKD).MethodsThis retrospective cohort study used the Humana Research Database to identify patients with CKD Stage ≥ 3a in 2017. Eligible patients were enrolled in a Medicare Advantage Prescription Drug plan for ≥ 12 months before and after the index date (first observed evidence of CKD). Patients with end-stage renal disease, kidney transplant, or hospice election preindex were excluded. Recommended comorbid disease management included hemoglobin A1c monitoring; adherence to glucose-lowering, cardiovascular, and angiotensin-converting enzyme inhibitors/angiotensin receptor blocker medications; and nephrologist/primary care provider (PCP) visits. HCRU was evaluated for 12 months postindex.ResultsThe final cohort of 241,628 patients was 55% female and 77% White, with an average age of 75 years. Approximately 90% of patients had Stage 3 CKD. Half had both diabetes and hypertension, and most of the remaining half had hypertension without diabetes. Patients meeting the criteria for good disease management, compared with patients not meeting those criteria, were less likely to experience an inpatient hospitalization, by as much as 40% depending on the criterion and the comorbidities present, or an emergency department visit, by as much as 30%. Total monthly healthcare costs were as much as 17% lower.ConclusionsManagement of comorbid diabetes and hypertension in patients with CKD was associated with lower HCRU and costs. Care coordination programs targeting patients with CKD must give careful attention to glucose and blood pressure control.Trial registrationNot applicable.

Epigenetic Profiling of Type 2 Diabetes Mellitus: An Epigenome-Wide Association Study of DNA Methylation in the Korean Genome and Epidemiology Study.

Diabetes is characterized by persistently high blood glucose levels and severe complications and affects millions of people worldwide. In this study, we explored the epigenetic landscape of diabetes using data from the Korean Genome and Epidemiology Study (KoGES), specifically the Ansung-Ansan (AS-AS) cohort. Using epigenome-wide association studies, we investigated DNA methylation patterns in patients with type 2 diabetes mellitus (T2DM) and those with normal glucose regulation. Differential methylation analysis revealed 106 differentially methylated probes (DMPs), with the 10 top DMPs prominently associated with TXNIP, PDK4, NBPF20, ARRDC4, UFM1, PFKFB2, C7orf50, and ABCG1, indicating significant changes in methylation. Correlation analysis highlighted the association between the leading DMPs (e.g., cg19693031 and cg26974062 for TXNIP and cg26823705 for NBPF20) and key glycemic markers (fasting plasma glucose and hemoglobin A1c), confirming their relevance in T2DM. Moreover, we identified 62 significantly differentially methylated regions (DMRs) spanning 61 genes. A DMR associated with PDE1C showed hypermethylation, whereas DMRs associated with DIP2C, FLJ90757, PRSS50, and TDRD9 showed hypomethylation. PDE1C and TDRD9 showed a strong positive correlation between the CpG sites included in each DMR, which have previously been implicated in T2DM-related processes. This study contributes to the understanding of epigenetic modifications in T2DM. These valuable insights can be utilized in identifying potential biomarkers and therapeutic targets for effective management and prevention of diabetes.

Analysis and controllability of diabetes model for experimental data by using fractional operator

Diabetes is a silent illness that is endangering public health in society. Diabetes is a chronic disease affecting millions of people worldwide, and understanding the underlying mechanisms of glucose homeostasis is crucial for managing this condition. Diabetes is a significant public health issue due to the early morbidity, mortality, shortened life expectancy, and financial and other expenses to the patient, their careers, and the health care system. In this study, we propose a mathematical model consisting of β−cells, insulin, glucose, and growth hormone that incorporates the fractional operator. Using the Lyapunov function, we treated a global stability analysis and investigated the impact of a new wave of dynamical transmission on the equilibrium points of the second derivative. With the Lipschitz criteria and linear growth, the exact singular solution for the proposed model has been determined. Furthermore, we present a detailed analysis of infections, and numerical simulations are conducted using the Mittag-Leffler Kernel mathematical framework to illustrate the theoretical conclusions for various orders of the fractional derivative. Controllability and observability of the linear system are treated for close loop design to check the relation between the glucose and insulin systems. Overall, our results provide a comprehensive understanding of glucose homeostasis and its underlying mechanisms, contributing to the development of effective diabetes management strategies. The proposed model and mathematical framework offer a valuable tool for investigating complex systems and phenomena, with applications beyond the field of diabetes research and helpful to designing the closed loop for the glucose–insulin system.

Symptom clusters in breast cancer survivors with and without type 2 diabetes over the cancer trajectory

ObjectiveThis study aimed to investigate symptoms and symptom clusters in breast cancer survivors (BCS) with and without type 2 diabetes across three crucial periods during the cancer trajectory (0-6 months, 12-18 months, and 24-30 months) post-initial chemotherapy. MethodsEight common symptoms in both BCS and individuals with diabetes were identified through natural language processing of electronic health records from January 2007 to December 2018. Exploratory factor analysis was employed to discern symptom clusters, evaluating their stability, consistency, and clinical relevance. ResultsAmong the 4601 BCS in the study, 19.7% (n = 905) had a diabetes diagnosis. Gastrointestinal symptoms and fatigue were prevalent in both groups. While BCS in both groups exhibited an equal number of clusters, the composition of these clusters differed. Symptom clusters varied over time between BCS with and without diabetes. BCS with diabetes demonstrated less stability (repeated clusters) and consistency (same individual symptoms comprising clusters) than their counterparts without diabetes. This suggests that BCS with diabetes may experience distinct symptom clusters at pivotal points in the cancer treatment trajectory. ConclusionsHealthcare providers must be attentive to BCS with diabetes throughout the cancer trajectory, considering intensified and/or unique profiles of symptoms and symptom clusters. Interdisciplinary cancer survivorship models are essential for effective diabetes management in BCS. Implementing a comprehensive diabetes management program throughout the cancer trajectory could alleviate symptoms and symptom clusters, ultimately enhancing health outcomes and potentially reducing healthcare resource utilization.

Cultural Beliefs and Practices in Self-Management of Diabetes Among Pnar Women in Meghalaya, India.

The purpose of the study was to explore the cultural beliefs and practices of the Pnar tribe in terms of their self-management of diabetes. A qualitative study design using an ethnographic approach was adopted to understand the experiences of the Pnar women with type 2 diabetes. Around 60 women living with diabetes across 20 villages in the Thadlaskein rural block were interviewed in the Pnar language. Thematic analysis was employed to identify the pattern related to beliefs and cultural practices in the self-management of diabetes across the data set. Misconceptions related to diet, such as all vegetables grown underground need to be avoided and bitter herbs and vegetables are good for blood glucose control, were reported. Participants used home remedies and complementary and alternative medicine to bring down their blood glucose levels. Participants believe that diabetes is an episodic or short-term illness and can be cured through herbal medicine. Participants reported that consuming atta or round flat bread made of wheat flour instead of rice caused "acidity." Misconceptions are barriers to disease management, which are often shaped in people's minds by culture. Therefore, health care service providers must know what people think about diabetes and its management. Accordingly, information related to diabetes should be disseminated to the masses for effective management of diabetes.

Investigating the Impact of Multiple Inputs on Predicting Glucose Level in Individuals with Type-1 Diabetes through Deep Learning Technique

Type-1 Diabetes is a chronic auto-immune disorder featured by the disability of human body to produce insulin, an enzyme helps to digest carbohydrates. Insulin works with the take-up of glucose from the circulatory system into cells. Without sufficient insulin, glucose aggregates in the blood, prompting hyperglycemia. Uncontrolled hyperglycemia, whenever left untreated, can bring about dangerous intricacies, which can harm the vital organs. Managing type-1 diabetes presents huge difficulties for impacted people, as it requires a sensitive equilibrium of insulin administration, sugar consumption, active work, and cautious observing of blood glucose levels. Despite the progress made in type-I diabetes management, challenges persist. Achieving optimal blood glucose control remains elusive for many individuals. Understanding the complex interplay between these variables and their impact on blood glucose regulation is vital for emerging more effective treatment strategies.&#x0D; Accurate and timely prediction of glucose level plays a critical role in the effective management of diabetes. Through this paper we aim at investigating the impact of multiple inputs on forecasting of glucose level in individuals with type-1 diabetes by means of deep learning techniques. In our paper, we use the Long-Short-Term-Memory (LSTM) network to study the forthcoming blood glucose pattern when various combinations if inputs, previous blood glucose reading, insulin administrated and carbohydrate intake are provided as inputs. We used the ShanghaiT1DM dataset for the study.

Monitoring Insulin and Glucose Levels in Hospital Najaf: A Critical Analysis of Diabetes Management

Diabetes mellitus, characterized by chronic hyperglycemia resulting from defects in insulin secretion, insulin action, or both, is a global health concern with increasing prevalence. In the city of Najaf, Iraq, Hospital Najaf plays a pivotal role in managing diabetes cases for a substantial population. Effective diabetes management is critical, as uncontrolled diabetes can lead to a range of complications. Monitoring insulin and glucose levels is pivotal in this context. This study employs a mixed-methods approach to comprehensively assess diabetes management at Hospital Najaf, encompassing both qualitative and quantitative data sources. Qualitative data was gathered through interviews with healthcare professionals and patients, while quantitative data included the analysis of medical records and surveys. Statistical analysis was performed using SPSS. Results reveal significant differences in sugar and insulin levels between healthcare professionals and patients with diabetes, underlining the importance of monitoring and intervention. Patient interviews highlight the need for education and culturally sensitive care. This study's insights aim to contribute to enhanced diabetes management and the well-being of individuals with diabetes in Najaf and beyond.

Cardiovascular diseases: clinical presentation and treatment in patients with and without diabetes mellitus at a tertiary care hospital

Background: cardiovascular diseases are a significant global health challenge is due to their high prevalence and impact on mortality rates. This encompasses a wide range of heart and blood vessel disorders. Diabetes mellitus is a major risk factor for any cardiovascular disease. Objective was to assess the cardiovascular disease among diabetic and non-diabetic individuals. To find out symptoms and management of heart diseases both diabetic and non-diabetic patients. Methods: A prospective cross-sectional study design was conducted at Navodaya Medical College Hospital &amp; Research Centre, Raichur, spanning a duration of six months starting from January 2023 until June 2023. A total of 200 cases were gathered throughout the study period. Results: Among 200 cases 114 patients were male and 86 patients were female. 74 (37%) patients had cardiovascular disease with diabetic and 126 (63%) patients had cardiovascular disease without diabetes. the most common type of cardiovascular disease was found non-ST elevation MI (NSTEMI) 29.73% with diabetic patients and coronary artery disease 23.01% were found most common with non- diabetic patients. Aspirin was the most common drug both diabetic 74 (17.79%) and non- diabetic patients 126 (18.69%). Conclusions: The study highlights the importance of early detection and effective management of diabetes to reduce the risk of cardiovascular complications. Additionally, it underscores the need for healthcare providers to closely monitor diabetic patients' cardiovascular health and implement preventive measures to enhance overall patient outcomes.

The perceived social support, life events, and depressive features among patients with diabetes mellitus.

This study evaluated the relationship between life events, perceived social support, and depressive features among people with diabetes. This study was a cross-sectional design using convenience sampling. Questionnaires were distributed to targeted patients in primary health care services in the Nablus district. The Holmes-Rahe Stress Inventory Scale, The Beck Depression Inventory, and The Multidimensional Scale of Perceived Social Support. About 120 diabetic patients participated in this study. Findings revealed that higher diabetes mellitus prevalence was among older ages (39.2% are 60 years or older). More than half of the participants were smokers. Regarding life events, 53.3% of the patients have a 50% chance of developing major breakdowns in the next two years. Depression was found to be normal among 32.5% of participants, while 22.5% were moderately depressed. More patients had a disagreement that they could find social support from their friends than their family members. People with diabetes are affected significantly by life events, depressive features, and perceived social support, hence, further attention is needed accompanied by frequent assessment for such factors for effective diabetes management.

“Prescribing for the whole person”: A qualitative study exploring prescribing pharmacist views on type 2 diabetes management in New Zealand

BackgroundPharmacist prescribers have comprehensive pharmacotherapy knowledge that can be useful for management of complex health conditions such as type 2 diabetes, yet the number of pharmacist prescribers working in New Zealand primary care is low.AimTo explore the experiences of pharmacist prescribers in supporting type 2 diabetes management in New Zealand primary care.MethodsQualitative research design using semi-structured interviews with six pharmacist prescribers working in NZ primary care. Thematic analysis guided this study and themes were finalised with the wider research team.ResultsThree major themes were identified: team approach, health inequity and the role of a pharmacist prescriber. This study found that pharmacist prescribers may improve health equity by providing advanced pharmacotherapy knowledge within a wider primary care team to support complex patient needs and understanding the wider social determinants of health that impact effective diabetes management. Participants reportedly had more time to spend with patients (than GPs or nurses) and could also contribute to improving health outcomes by directly educating and empowering patients.ConclusionThe views of pharmacist prescribers have seldom been explored and this study suggests that their role may be under-utilised in primary care. In particular, pharmacist prescribers can provide specialist prescribing (and often mobile) care, and may contribute to improving health outcomes and reducing inequity when used as part of a multi-disciplinary team.

Diabetes exacerbates inflammatory bowel disease in mice with diet-induced obesity.

The increased prevalence of inflammatory bowel disease (IBD) among patients with obesity and type 2 diabetes suggests a causal link between these diseases, potentially involving the effect of hyperglycemia to disrupt intestinal barrier integrity. To investigate whether the deleterious impact of diabetes on the intestinal barrier is associated with increased IBD severity in a murine model of colitis in mice with and without diet-induced obesity. Mice were fed chow or a high-fat diet and subsequently received streptozotocin to induce diabetic-range hyperglycemia. Six weeks later, dextran sodium sulfate was given to induce colitis. In select experiments, a subset of diabetic mice was treated with the antidiabetic drug dapagliflozin prior to colitis onset. Endpoints included both clinical and histological measures of colitis activity as well as histochemical markers of colonic epithelial barrier integrity. In mice given a high-fat diet, but not chow-fed animals, diabetes was associated with significantly increased clinical colitis activity and histopathologic markers of disease severity. Diabetes was also associated with a decrease in key components that regulate colonic epithelial barrier integrity (colonic mucin layer content and epithelial tight junction proteins) in diet-induced obese mice. Each of these effects of diabetes in diet-induced obese mice was ameliorated by restoring normoglycemia. In obese mice, diabetes worsened clinical and pathologic outcomes of colitis via mechanisms that are reversible with treatment of hyperglycemia. Hyperglycemia-induced intestinal barrier dysfunction offers a plausible mechanism linking diabetes to increased colitis severity. These findings suggest that effective diabetes management may decrease the clinical severity of IBD.

Machine Learning-Based Diabetic Risk Prediction Model for Early Detection

Diabetes is a chronic disease that affects millions of people worldwide. Early detection and effective management of diabetes can significantly reduce the risk of complications and improve the quality of life of individuals with diabetes. In recent years, machine learning techniques have been applied to predict the risk of diabetes and to develop personalized treatment plans. In this study, we propose a machine learning-based diabetic risk prediction model for early detection and management. The proposed model uses various clinical and demographic variables such as age, gender, BMI, blood pressure, and fasting blood glucose levels to predict the risk of developing diabetes. We evaluated the performance of the proposed models using a dataset of patients with diabetes and non-diabetic individuals. Machine learning techniques including Logistic Regression, Support Vector Machine, K-Nearest Neighbors, and Random Forest are evaluated using the confusion matrices. The experimental results show that the Random Forest classifier achieved an accuracy of 80%, sensitivity of 82%, specificity of 80% in predicting the risk of diabetes. However, Increasing the accuracy rates of machine learning algorithms to 90% to 100% will be the challenging part of this study.

The Expanding Role of Pharmacists in Patient Centered Diabetes Care Impacts on Management and Outcomes

The role of pharmacists in diabetes care has evolved significantly, shifting from traditional dispensing to comprehensive patient-centred management. This article explores the expanding responsibilities of pharmacists in diabetes management, highlighting their impact on clinical outcomes, economic benefits, and future directions. By providing Medication Therapy Management (MTM), pharmacists optimize medication regimens, improve medication adherence, and educate patients on lifestyle modifications, leading to enhanced glycemic control and reduced HbA1c levels. Collaborative practices with healthcare teams help prevent complications and decrease hospitalizations, demonstrating the value of integrated care. Economic analyses reveal substantial cost reductions in diabetes-related healthcare due to pharmacist interventions benefiting patients and healthcare systems. However, barriers still need to be addressed, including regulatory limitations and public awareness issues, which hinder the full realization of pharmacists’ potential in chronic disease management. The future of diabetes care is promising, with advancements in telehealth and technology paving the way for increased pharmacist involvement. Additionally, the expansion of prescribing rights may enhance the pharmacist’s role in medication management, ensuring timely and effective interventions. Addressing these challenges will be crucial for integrating pharmacists into multidisciplinary teams and optimizing diabetes care. Overall, the involvement of pharmacists is essential for delivering comprehensive and effective diabetes management, improving health outcomes, and reducing healthcare costs.

Stigma, Self-Care, and Intuitive Eating in Black Americans with Type 2 Diabetes.

Type 2 diabetes is prevalent among Black Americans. Stigma associated with type 2 diabetes, both in general and specific to weight, is damaging to self-care, which is crucial for the effective management of diabetes. Family relationships may buffer the negative impact of stress, especially among Black Americans who have historically relied on informal support networks. Our goal was to investigate how type 2 diabetes stigma (H1) and weight stigma (H2) were related to self-care and intuitive eating - a non-restrictive approach to nutrition; H3 predicted that family relationship satisfaction would moderate the relationships predicted in H1 and H2. Black Americans diagnosed with type 2 diabetes (N = 225) were recruited via Qualtrics panels to complete an online survey of self-report measures. We used multiple linear regression to test our hypotheses. Both chronic illness and weight stigma were related as predicted to one subscale of intuitive eating (eating for physical hunger). Our moderation analyses revealed that family relationship satisfaction was protective against the harms of stigma at moderate to high levels. Intuitive eating is a promising non-restrictive treatment option for type 2 diabetes.