scholarly journals Diagnosing Diabetes, Diagnosing Colonialism: An Ethnography of the Classification and Counting of a Senegalese Metabolic Disease

2021 ◽  
Vol 8 (2) ◽  
pp. 1-26
Author(s):  
Emma N Bunkley
Keyword(s):  
Global Health ◽  
Public Hospital ◽  
Noncommunicable Diseases ◽  
Diabetes Diagnosis ◽  
Saint Louis ◽  
The Public ◽  
Production And Consumption ◽  
The Individual

This article explores the top-down production of the statistics frequently circulated in global health. These data must first originate in a place like the public hospital in Saint-Louis, Senegal, in doctor’s offices and laboratories and medical archives. At their root, these data are an accumulation of individual bodies, experiences, and intimate diagnostic moments. This aggregation turns the afflicted into categories and statistical regimes that shape a global health understanding of diabetes specifically, and noncommunicable diseases broadly. This article explores the individual diabetes diagnostic moment itself and the politics of the current nosology of Type 1 and Type 2, a seemingly neutral dichotomy that belies colonial relationships between Senegal, slavery, sugar production and consumption, and the effects these relationships have on contemporary conceptions of diabetes diagnosis in Senegal and global health.

scholarly journals URINE GLUCOSE DETECTION AS A DIABETES DISEASE IN WOMEN AND ELDERLY IN KEDUNGPANDAN VILLAGE, JABON, SIDOARJO

2021 ◽  
Vol 1 (1) ◽  
pp. 5-10
Author(s):  
Andreas Putro Ragil Santoso ◽  
Devyana Dyah Wulandari
Keyword(s):  
Early Detection ◽  
Community Service ◽  
Metabolic Disorders ◽  
The Elderly ◽  
Total Sample ◽  
Glucose Detection ◽  
Early Detection Of Disease ◽  
The Public

Diabetes is a disease of metabolic disorders caused by poor production of insulin by the pancreas or due to the use of body insulin which is not maximal, causing interference. The main diabetes that often occurs in the community is type 1 and type 2 diabetes because of the influence of body insulin. Examination for detection is intended so that the public can find out about the presence of glucose in the urine so that the community can immediately recover faster, considering that if there is a glucose level in the urine, there is an increase in the level of glucose in the blood. The method used in this community service is to collect residents at the center, which is then carried out by examining the urine sample using a urine dysptic. Based on the results of examinations carried out on 62 people consisting of mothers and the elderly, it showed that there were 10 positive people or 19% of the total sample. This shows that early detection is important because there are still people who do not know the importance of early detection of disease in themselves, especially in the Kedung Pandan area.

scholarly journals Involvement of dietitians in diabetes care, results from a secondary care hospital in Greece

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Zoe Pafili ◽  
Sophia Samara ◽  
Charilaos Dimosthenopoulos ◽  
Olga Gkortzi
Keyword(s):  
Type 2 Diabetes ◽  
Diabetes Care ◽  
Secondary Care ◽  
Diabetes Management ◽  
Nutrition Therapy ◽  
Dietary Advice ◽  
Diabetes Diagnosis ◽  
Diabetes Patients

AbstractIntroductionAccording to diabetes care standards nutrition therapy should be an integral part of diabetes management, and all individuals with diabetes should be referred to a registered dietitian for nutrition therapy at—or soon after—diagnosis and for ongoing follow-up. There is limited international data that indicate that a large percentage of people with diabetes have not received structured diabetes education and have not visited a dietitian. The aim of this study was to assess the involvement of dietitians in diabetes care in Greece.Materials and MethodsAll adult diabetic patients admitted to a secondary care general hospital in Greece during 30 consecutive days were included in the study. Patients admitted in the ICU, CICU, day clinics and hemodialysis patients were excluded. Data were obtained by personal interviews using a 40 item questionnaire which included 10 questions regarding number of visits to dietitians for diabetes management, whether patients were referred by their doctors or sought dietary advice by their own, reasons for visiting a dietitian, goal achievement and patient satisfaction.ResultsIn total 124 patients (68 males and 56 females) with diabetes were admitted to the hospital during the study period (4 type 1, 114 type 2 and 6 pregnancy diabetes). Data were obtained from 3 (22.8 ± 6 yrs, 26.1 ± 5.7kg/m2,8.3 ± 5.9 yrs with diabetes),105 (76.6 ± 11.3 yrs, 28.0 ± 5.3 kg/m2, 12.8 ± 9.3 yrs with diabetes), and 5 (32.6 ± 4.4 yrs, 28.5 ± 4.0 kg/m2) patients with type 1, type 2 and pregnancy diabetes respectively. Two out of 3 type 1 diabetes and 1 out of 5 patients with pregnancy diabetes interviewed reported to have been referred to a dietitian by their doctor. Only 5.7% (6 patients) of type 2 diabetes patients reported to have been referred to a dietitian by their doctor and another 5.7% have visited a dietitian on their own initiative. Five out of 6 referrals were at diabetes diagnosis. The number of encounters with a dietitian ranged from 1 to 24 with patients seeking to loose weight having the greater number of encounters. Of type 2 diabetes patients 94.3% did not receive lifestyle advice before commencing diabetes medication whereas 25% did not receive any dietary advice by any health professional even after starting medication.ConclusionsIn our cohort the majority of diabetes patients had not received dietary counseling by a dietitian, whereas about one fourth of type 2 diabetes patients had not received any dietary advice.

scholarly journals Genetic Risk Scores for Diabetes Diagnosis and Precision Medicine

2019 ◽  
Vol 40 (6) ◽  
pp. 1500-1520 ◽  
Author(s):  
Miriam S Udler ◽  
Mark I McCarthy ◽  
Jose C Florez ◽  
Anubha Mahajan
Keyword(s):  
Risk Scores ◽  
Diabetes Diagnosis ◽  
Physiological Mechanisms ◽  
Risk Variants ◽  
Polygenic Scores ◽  
Disease Predisposition ◽  
Dna Sequence Variants

Abstract During the last decade, there have been substantial advances in the identification and characterization of DNA sequence variants associated with individual predisposition to type 1 and type 2 diabetes. As well as providing insights into the molecular, cellular, and physiological mechanisms involved in disease pathogenesis, these risk variants, when combined into a polygenic score, capture information on individual patterns of disease predisposition that have the potential to influence clinical management. In this review, we describe the various opportunities that polygenic scores provide: to predict diabetes risk, to support differential diagnosis, and to understand phenotypic and clinical heterogeneity. We also describe the challenges that will need to be overcome if this potential is to be fully realized.

The TUDID Study – Background and Design of a Prospective Cohort

2020 ◽  
Author(s):  
Benjamin Assad Jaghutriz ◽  
Robert Wagner ◽  
Stephanie Kullmann ◽  
Louise Fritsche ◽  
Sabine S. Eckstein ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Laboratory Tests ◽  
Diabetes Complications ◽  
Treatment Options ◽  
University Hospital ◽  
Tailored Treatment ◽  
The Individual

AbstractPrevalence of both type 1 and type 2 diabetes mellitus is growing worldwide and one major cause for morbidity and mortality. However, not every patient develops diabetes-related complications, but causes for the individual susceptibility are still not fully understood. As a platform to address this, we initiated the TUDID (TUebingen DIabetes Database) study, a prospective, monocentric, observational study that includes adults with diabetes mellitus who are treated in the inpatient clinic of a University Hospital in southern Germany. Besides a thorough clinical examination and extensive laboratory tests (with integrated biobanking), major study focuses are the kidneys, the eyes, the vasculature as well as cognition and mood where standardized investigations for early stages for diabetes complications are performed. Analyses of the data generated by this precise characterization of diabetes-related complications will contribute to our understanding of the development and course of such complications, and thus facilitate the implementation of tailored treatment options that can reduce the risk and severity of diabetes-related complications.

scholarly journals Artificial Intelligence-Based Diagnosis of Diabetes Mellitus: Combining Fundus Photography with Traditional Chinese Medicine Diagnostic Methodology

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Yang Xiang ◽  
Lai Shujin ◽  
Chang Hongfang ◽  
Wen Yinping ◽  
Yu Dawei ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Fundus Photography ◽  
Diabetes Diagnosis ◽  
Medical Resources ◽  
New Approach

In this study, we propose a technique for diagnosing both type 1 and type 2 diabetes in a quick, noninvasive way by using equipment that is easy to transport. Diabetes mellitus is a chronic disease that affects public health globally. Although diabetes mellitus can be accurately diagnosed using conventional methods, these methods require the collection of data in a clinical setting and are unlikely to be feasible in areas with few medical resources. This technique combines an analysis of fundus photography of the physical and physiological features of the patient, namely, the tongue and the pulse, which are used in Traditional Chinese Medicine. A random forest algorithm was used to analyze the data, and the accuracy, precision, recall, and F1 scores for the correct classification of diabetes were 0.85, 0.89, 0.67, and 0.76, respectively. The proposed technique for diabetes diagnosis offers a new approach to the diagnosis of diabetes, in that it may be convenient in regions that lack medical resources, where the early detection of diabetes is difficult to achieve.

scholarly journals Test–retest reliability of self-reported diabetes diagnosis in the Norwegian Women and Cancer Study: A population-based longitudinal study (n =33,919)

2016 ◽  
Vol 4 ◽  
pp. 205031211562285 ◽  
Author(s):  
Mashhood Ahmed Sheikh ◽  
Eiliv Lund ◽  
Tonje Braaten
Keyword(s):  
Physical Activity ◽  
Type 2 Diabetes ◽  
Diabetes Diagnosis ◽  
Clear Pattern ◽  
Retest Reliability ◽  
Cancer Study ◽  
Test Retest Reliability ◽  
Kappa Agreement

Objective: Self-reported information from questionnaires is frequently used in epidemiological studies, but few of these studies provide information on the reproducibility of individual items contained in the questionnaire. We studied the test–retest reliability of self-reported diabetes among 33,919 participants in Norwegian Women and Cancer Study. Methods: The test–retest reliability of self-reported type 1 and type 2 diabetes diagnoses was evaluated between three self-administered questionnaires (completed in 1991, 1998, and 2005 by Norwegian Women and Cancer participants) by kappa agreement. The time interval between the test–retest studies was ~7 and ~14 years. Sensitivity of the kappa agreement for type 1 and type 2 diabetes diagnoses was assessed. Subgroup analysis was performed to assess whether test–retest reliability varies with age, body mass index, physical activity, education, and smoking status. Results: The kappa agreement for both types of self-reported diabetes diagnoses combined was good (⩾0.65) for all three test–retest studies (1991–1998, 1991–2005, and 1998–2005). The kappa agreement for type 1 diabetes was good (⩾0.73) in the 1991–2005 and the 1998–2005 test–retest studies, and very good (0.83) in the 1991–1998 test–retest study. The kappa agreement for type 2 diabetes was moderate (0.57) in the 1991–2005 test–retest study and good (⩾0.66) in the 1991–1998 and 1998–2005 test–retest studies. The overall kappa agreement in the 1991–1998 test–retest study was stronger than in the 1991–2005 test–retest study and the 1998–2005 test–retest study. There was no clear pattern of inconsistency in the kappa agreements within different strata of age, BMI, physical activity, and smoking. The kappa agreement was strongest among the respondents with 17 or more years of education, while generally it was weaker among the least educated group. Conclusion: The test–retest reliability of the diabetes was acceptable and there was no clear pattern of inconsistency in the kappa agreement stratified by age, body mass index, physical activity, and smoking. The study suggests that self-reported diabetes diagnosis from middle-aged women enrolled in the Norwegian Women and Cancer Study is reliable.

scholarly journals The City-Wide Impacts of the Interactions between Shared Autonomous Vehicle-Based Mobility Services and the Public Transportation System

2021 ◽  
Vol 13 (12) ◽  
pp. 6725
Author(s):  
Sehyun Tak ◽  
Soomin Woo ◽  
Sungjin Park ◽  
Sunghoon Kim
Keyword(s):  
Public Transportation ◽  
Autonomous Vehicles ◽  
Impact Analysis ◽  
Autonomous Vehicle ◽  
The Public ◽  
Private Vehicle ◽  
Simulation Based ◽  
Mode Share

When attempts are made to incorporate shared autonomous vehicles (SAVs) into urban mobility services, public transportation (PT) systems are affected by the changes in mode share. In light of that, a simulation-based method is presented herein for analyzing the manner in which mode choices of local travelers change between PT and SAVs. The data used in this study were the modal split ratios measured based on trip generation in the major cities of South Korea. Subsequently, using the simulated results, a city-wide impact analysis method is proposed that can reflect the differences between the two mode types with different travel behaviors. As the supply–demand ratio of SAVs increased in type 1 cities, which rely heavily on PT, use of SAVs gradually increased, whereas use of PT and private vehicles decreased. Private vehicle numbers significantly reduced only when SAVs and PT systems were complementary. In type 2 cities, which rely relatively less on PT, use of SAVs gradually increased, and use of private vehicles decreased; however, no significant impact on PT was observed. Private vehicle numbers were observed to reduce when SAVs were operated, and the reduction was a minimum of thrice that in type 1 cities when SAVs and PT systems interacted. Our results can therefore aid in the development of strategies for future SAV–PT operations.

scholarly journals Diabetes and liaison psychiatry: the characteristics of patients with diabetes referred to a liaison psychiatry service in London

BJPsych Open ◽  
2021 ◽  
Vol 7 (S1) ◽  
pp. S104-S104
Author(s):  
Alexandra Simpson ◽  
Lucy Bradford ◽  
Marilia Calcia
Keyword(s):  
Mental Health ◽  
Type 2 Diabetes ◽  
Type 1 Diabetes ◽  
Diabetic Patients ◽  
Diabetes Diagnosis ◽  
Psychiatric Consultation ◽  
Liaison Psychiatry ◽  
Self Harm

AimsTo determine the characteristics of adult patients referred to a Liaison Psychiatry service in a general teaching hospital in London, UK with 950 inpatient adult beds.MethodAll referrals for adult inpatient psychiatric consultation made during a period of 9 months were reviewed; those that involved a patient with a diagnosis of diabetes were analysed. Descriptive statistics were used; data were collected on demographic characteristics and physical and mental health parameters, including type of diabetes, number of years since diabetes diagnosis, glycaemic control, presence of diabetes-related complications, reason for Psychiatry consultation request, psychiatric diagnosis, psychotropic medication, frequency of admissions to general hospital, psychiatric risk issues and outcome of psychiatric consultation.ResultPilot results indicate that 30 diabetic patients were referred for a psychiatric consultation in 9 months. Of those, 9 had type 1 diabetes, 17 had type 2 diabetes and 1had pre-diabetes 3 were unknown. 13 were male and 17 were female; the median age was 46 (range 18 to 68); the ethnicities were 6 White, 15 Black, 1 Asian and 8 other.Diabetes-related complications were present in 77% (retinopathy 10%, kidney disease 27%, neuropathy 13%, diabetic foot 16%). 6% had comorbid cardiovascular disease. 10% were on dialysis and 3% had had amputations.The main reason for referral for psychiatric consultation was low mood and self harm; other reasons were recurrent DKA, anxiety and self neglect. Psychiatric risk issues included 20% risk of self-harm/suicide; 13% risk of violence; 10 risk of self-neglect. The outcomes of liaison psychiatry consultation were: 30% received an assessment that led to recommendations to the general medical team and did not require further psychiatric input; 27% received continued psychiatric follow-up during the admission. With regards to treatment, 36% had psychiatric treatment (including medication) reviewed; 47% received general treatment recommendations, including recommendations for new laboratory or radiological investigations or change in level of nursing care. 20% required transfer to an inpatient psychiatric unit, with 33% discharged to care of community mental health.ConclusionOur findings indicate the scope of practice for a Liaison Psychiatry service with regards to adult hospital inpatients with diabetes. Our data suggest that patients with type 2 diabetes are the majority of inpatients with diabetes that require psychiatric consultations, and that the majority of those are patients already known to psychiatric services due to long-term severe mental disorders, particularly schizophrenia, schizoaffective disorder or bipolar disorder. Most of those patients have medical comorbidities and severe diabetes-related complications. Patients with type 1 diabetes, despite making up a smaller proportion of referrals for psychiatric consultations, also tend to have recurrent hospital admissions and features of self-neglect.

scholarly journals Comparison of Demographic and Diagnostic Markers in New Onset Pediatric Type 1 and Type 2 Diabetes

2021 ◽  
Author(s):  
Teresa Nieto ◽  
Beatriz Castillo ◽  
Jacobo Nieto ◽  
Maria Jose Redondo
Keyword(s):  
Type 2 Diabetes ◽  
Ethnic Minority ◽  
Hemoglobin A1c ◽  
Multiple Logistic Regression Analysis ◽  
Islet Autoantibody ◽  
Diabetes Diagnosis ◽  
C Peptide ◽  
Racial Ethnic

Purpose Type 1 diabetes (T1D) is the most common type of diabetes in children, but the frequency of type 2 diabetes (T2D) is increasing rapidly. Classification of diabetes is based on a constellation of features that are typical of each type. We aimed to compare demographic, clinical and laboratory characteristics at diabetes diagnosis in pediatric T1D and T2D. Methods We studied children who attended a large academic hospital in Houston, Texas (USA) with a new diagnosis of T2D (n=753) or T1D (n=758). We compared age, sex, race/ethnicity, presence of obesity, glucose, hemoglobin A1c, islet autoantibody positivity, C-peptide, and presence of diabetic ketoacidosis (DKA) at diabetes diagnosis. Results At diagnosis of diabetes, children with T2D, compared with those with T1D, were older (13.6 vs 9.7% years old), more likely females (63.2% vs 47.8%), of racial/ethnic minority (91.1%% versus 42.3%) and obese (90.9% vs 19.4%), and were less likely to have DKA (7.8% vs 35.0%) and diabetes autoantibodies (5.5% vs 95.4%). Children with T2D also had significantly less marked elevation of glucose and hemoglobin A1c, and lower C-peptide levels (all comparisons, p<0.0001). In multiple logistic regression analysis, older age, racial/ethnic minority, obesity, higher C-peptide and negative islet autoantibodies were independently associated with T2D (all, p<0.05) while sex, glucose, hemoglobin A1c and DKA were not (model p<0.0001). Conclusions There are important demographic, clinical and laboratory differences between T1D and T2D in children with T1D. However, none of the characteristics was unique to either diabetes type, which poses challenges to diabetes classification at diagnosis.

Sign in / Sign up

Export Citation Format

Share Document