scholarly journals Performance of the Achutha Menon Centre Diabetes Risk Score in Identifying Prevalent Diabetes in Tamil Nadu, India

2017 ◽  
Vol 41 (5) ◽  
pp. 386 ◽  
Author(s):  
Anu Mary Oommen ◽  
Vinod Joseph Abraham ◽  
Thirunavukkarasu Sathish ◽  
V. Jacob Jose ◽  
Kuryan George
Keyword(s):  
Risk Score ◽  
Tamil Nadu ◽  
Diabetes Risk ◽  
Diabetes Risk Score

scholarly journals Prevalence of type 2 diabetes using Indian diabetes risk score and its risk factors in a rural area of Tamil Nadu, India

2017 ◽  
Vol 4 (8) ◽  
pp. 2778
Author(s):  
Sathiya Narayanan S. ◽  
Shankar S. ◽  
Padmini S. K.
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Rural Area ◽  
Risk Score ◽  
Tamil Nadu ◽  
Diabetes Risk ◽  
Risk Category ◽  
Screening Programs ◽  
Management Of Complications ◽  
Diabetes Risk Score

Background: Currently the number of cases of diabetes worldwide is estimated to be around 150 million. This number is predicted to double by 2025, with the greatest number of cases being expected in China and India. In countries like India, there is also a lack of awareness about the existing interventions for preventing diabetes and the management of complications. This underscores the need for mass awareness and screening programs to identify and overcome the burden due to diabetes in India. The aim and objectives of the study was to find out the people at risk of developing diabetes using a simple risk factor scoring in a rural area in Tamil NaduMethods: A community based cross-sectional study was carried out from June 2016 to August 2016 among 974 participants in the three rural blocks in Kancheepuram district of Tamil Nadu. A house to house visit was made and all population above 35 years of age, presenting on the day of survey were included in the study. Socio-demographic variables, risk factors were collected using a pre-tested structured questionnaire and High Risk Analysis for diabetes was done as per Indian Diabetes Risk Score (IDRS).Results: Out of 974 study subjects, 62 (6.34%) of them reported that they had diabetes. Based on the screening tool, 253 subjects were found to be in the high risk category (score >60). Proportion of subjects with high risk score in the self-reported diabetes group (58.07%) were high compared to apparently normal group (23.79%) and this difference was statistically significant (p<0.05) using Chi Square test.Conclusions: This study estimates the usefulness of simplified Indian diabetes risk score for identifying high risk diabetic subjects in the community. Use of the IDRS can make mass screening for diabetes in India more cost effective.

Abstract # OR-20: External Validation of the Leicester Self-Assessment Diabetes Risk Score in a Population with Intellectual Disability

2016 ◽  
Vol 22 ◽  
pp. 12
Author(s):  
Laura Gray ◽  
Yogini Chudasama ◽  
Alison Dunkley ◽  
Freya Tyrer ◽  
Rebecca Spong ◽  
...  
Keyword(s):  
Intellectual Disability ◽  
Risk Score ◽  
External Validation ◽  
Diabetes Risk ◽  
Self Assessment ◽  
Diabetes Risk Score

Evaluación del desempeño del Finnish Diabetes Risk Score (findrisc) como prueba de tamizaje para diabetes mellitus tipo 2

2017 ◽  
Vol 25 (1) ◽  
Author(s):  
Indira Rocío Mendiola Pastrana ◽  
Irasema Isabel Urbina Aranda ◽  
Alejandro Edgar Muñoz Simón ◽  
Guillermina Juanico Morales ◽  
Geovani López Ortiz
Keyword(s):  
Diabetes Mellitus ◽  
Risk Score ◽  
Diabetes Risk ◽  
De Medicina ◽  
Diabetes Risk Score

<p><span><strong>Objetivo:</strong> evaluar el desempeño del <em>Finnish Diabetes Risk Score</em> (findrisc) como prueba de tamizaje para diabetes mellitus tipo 2 (dm2). <strong>Métodos:</strong> estudio de validación de prueba diagnóstica. Se seleccionaron 295 participantes sin diagnóstico de dm2, adscritos a una unidad de medicina familiar de Acapulco, Guerrero, México, mediante muestreo aleatorio simple. Se aplicó el cuestionario findrisc para calificar el nivel de riesgo para desarrollo de dm2. Se realizó toma de glucosa en ayuno como estándar de oro para diagnóstico de dm2. Se realizó prueba de </span><span>χ</span><span>2 de Mantel y Haenszel y cálculo de or para medir la asociación y la magnitud de ésta, así como el cálculo de sensibilidad, especificidad y valores predictivos para evaluar el desempeño del cuestionario. <strong>Resultados:</strong> se determinó que 156 pacientes (52.84%) presentaban alto riesgo para desarrollar dm2 en el cuestionario, 35 de los cuales fueron diagnosticados con dm2 y 49 con prediabetes. De los pacientes con riesgo bajo en el cuestionario, 26 presentaron prediabetes y 5 dm2. Un puntaje ≥15 por findrisc se asoció con glucosa alterada en ayuno ≥100mg/dl (or: 4.06, p=0.0001), prediabetes (or: 2.82, p=0.0002) y dm2 (or: 7.75, p=0.0001). La sensibilidad y especificidad del cuestionario para el diagnóstico de dm2 fue 87.50% y 52.55% respectivamente, con ic 95% estadísticamente significativos. <strong>Conclusión:</strong> el findrisc es una herramienta que potencialmente se puede ocupar para el tamizaje de dm2 en la población mexicana, es práctica, sencilla, rápida, no invasiva, económica y puede ser utilizada en la práctica diaria del médico familiar.</span></p>

scholarly journals A diabetes risk score for Qatar utilizing a novel mathematical modeling approach to identify individuals at high risk for diabetes

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Susanne F. Awad ◽  
Soha R. Dargham ◽  
Amine A. Toumi ◽  
Elsy M. Dumit ◽  
Katie G. El-Nahas ◽  
...  
Keyword(s):  
High Risk ◽  
Sensitivity And Specificity ◽  
Risk Score ◽  
Area Under The Curve ◽  
Diabetes Risk ◽  
Predictive Values ◽  
Predictive Variables ◽  
Comparable Performance ◽  
Representative Random Sample ◽  
Diabetes Risk Score

AbstractWe developed a diabetes risk score using a novel analytical approach and tested its diagnostic performance to detect individuals at high risk of diabetes, by applying it to the Qatari population. A representative random sample of 5,000 Qataris selected at different time points was simulated using a diabetes mathematical model. Logistic regression was used to derive the score using age, sex, obesity, smoking, and physical inactivity as predictive variables. Performance diagnostics, validity, and potential yields of a diabetes testing program were evaluated. In 2020, the area under the curve (AUC) was 0.79 and sensitivity and specificity were 79.0% and 66.8%, respectively. Positive and negative predictive values (PPV and NPV) were 36.1% and 93.0%, with 42.0% of Qataris being at high diabetes risk. In 2030, projected AUC was 0.78 and sensitivity and specificity were 77.5% and 65.8%. PPV and NPV were 36.8% and 92.0%, with 43.0% of Qataris being at high diabetes risk. In 2050, AUC was 0.76 and sensitivity and specificity were 74.4% and 64.5%. PPV and NPV were 40.4% and 88.7%, with 45.0% of Qataris being at high diabetes risk. This model-based score demonstrated comparable performance to a data-derived score. The derived self-complete risk score provides an effective tool for initial diabetes screening, and for targeted lifestyle counselling and prevention programs.

Utilization of Indian diabetes risk score (IDRS) in steroid-induced diabetes

2021 ◽  
Author(s):  
Nandakrishna Bolanthakodi ◽  
Avinash Holla ◽  
Sudha Vidyasagar ◽  
Laxminarayan Bairy ◽  
B. A. Shastry ◽  
...  
Keyword(s):  
Risk Score ◽  
Diabetes Risk ◽  
Diabetes Risk Score

scholarly journals Validity of the Finnish Diabetes Risk Score for Detecting Undiagnosed Type 2 Diabetes among General Medical Outpatients in Botswana

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Bernard Omech ◽  
Julius Chacha Mwita ◽  
Jose-Gaby Tshikuka ◽  
Billy Tsima ◽  
Oathokwa Nkomazna ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Risk Score ◽  
Predictive Value ◽  
Total Population ◽  
Diabetes Risk ◽  
Undiagnosed Diabetes ◽  
Haemoglobin A1c ◽  
Diabetes Risk Score ◽  
Medical Outpatients

This was a cross-sectional study designed to assess the validity of the Finnish Diabetes Risk Score for detecting undiagnosed type 2 diabetes among general medical outpatients in Botswana. Participants aged ≥20 years without previously diagnosed diabetes were screened by (1) an 8-item Finnish diabetes risk assessment questionnaire and (2) Haemoglobin A1c test. Data from 291 participants were analyzed (74.2% were females). The mean age of the participants was 50.1 (SD = ±11) years, and the prevalence of undiagnosed diabetes was 42 (14.4%) with no significant differences between the gender (20% versus 12.5%,P=0.26). The area under curve for detecting undiagnosed diabetes was 0.63 (95% CI 0.55–0.72) for the total population, 0.65 (95% CI: 0.56–0.75) for women, and 0.67 (95% CI: 0.52–0.83) for men. The optimal cut-off point for detecting undiagnosed diabetes was 17 (sensitivity = 48% and specificity = 73%) for the total population, 17 (sensitivity = 56% and specificity = 66%) for females, and 13 (sensitivity = 53% and specificity = 77%) for males. The positive predictive value and negative predictive value were 20% and 89.5%, respectively. The findings indicate that the Finnish questionnaire was only modestly effective in predicting undiagnosed diabetes among outpatients in Botswana.

scholarly journals Performance of the Finnish Diabetes Risk Score (FINDRISC) in the Identification of Dysglycemia in an Urban Population in Ouagadougou (Burkina Faso)

2021 ◽  
Vol 11 (02) ◽  
pp. 39-54
Author(s):  
Solo Traoré ◽  
Boyo Constant Paré ◽  
Désiré Lucien Dabourou ◽  
Oumar Guira ◽  
Yempabou Sagna ◽  
...  
Keyword(s):  
Burkina Faso ◽  
Risk Score ◽  
Urban Population ◽  
Diabetes Risk ◽  
Diabetes Risk Score

scholarly journals A study on validity of Indian Diabetes Risk Score for screening of diabetes mellitus among rural adult population at Rural Health Training Centre, Bhouri, under Department of Community Medicine

2018 ◽  
Vol 5 (12) ◽  
pp. 5295
Author(s):  
Garima Namdev ◽  
Vinod Narkhede
Keyword(s):  
Diabetes Mellitus ◽  
Rural Health ◽  
Risk Score ◽  
Screening Tool ◽  
Public Health Problem ◽  
Diabetes Risk ◽  
Major Public Health Problem ◽  
Training Centre ◽  
Health Training ◽  
Diabetes Risk Score

Background: Diabetes mellitus is a major public health problem in India and many of them remain undetected throughout years. This scenario becomes worse in rural setup where limited heath care facilities are available. So, to detect risk of diabetes earlier, Indian diabetes risk score (IDRS) is to be used. There is also various socio demographic and anthropometric factors associated with the risk of occurring diabetes. The aims and objectives of the study were to study the validity of IDRS method as a screening tool in community as well as to determine the association of IDRS with socio demographic factors and body mass index (BMI).Methods: A cross sectional study was conducted on 270 study participants at rural health training centre (RHTC) for a period of around 7 months. All of them were being measured weight, height, waist circumference and calculated BMI. Along with it, they were categorized by applying IDRS method and measured blood sugar by glucometer also.Results: Out of 270 study subjects, 29% found to have high score. By applying IDRS, at score > 60, we found 32% sensitivity and 97% specificity. A statistically significant association of IDRS with age, gender, religion, socioeconomic status (SES), education, occupation and BMI was seen.Conclusions: In present study, IDRS method proved to be a good screening tool for detecting diabetes mellitus at rural set up with minimum cost.

scholarly journals Factores de riesgo asociados a la diabetes mellitus tipo 2 en el municipio de Santa Rosa, departamento del Cauca

2015 ◽  
Author(s):  
◽  
Yuly Enith Gómez Calvache
Keyword(s):  
Physical Activity ◽  
Diabetes Mellitus ◽  
Risk Score ◽  
International Physical Activity Questionnaire ◽  
Diabetes Risk ◽  
Physical Activity Questionnaire ◽  
Factores De Riesgo ◽  
Las Mujeres ◽  
Diabetes Risk Score ◽  
Activity Questionnaire

La Diabetes Mellitus es una de las ENT con mayor carga de mortalidad en el mundo. En la República de Colombia en el año 2010 de acuerdo a la información DANE se observa una ocurrencia de muertes por DM según sexo y grupo de edad de 58% para las mujeres y de acuerdo a la edad las personas mayores de 45% son más vulnerables; a nivel regional la región andina presenta la mayor tasa de mortalidad (19 casos x 100.000 habitantes) cifra que supera la tasa nacional de 15 por cada 100.000. La DM2 se diagnostica de manera tardía, 30 a 50% de las personas desconocen su problema por meses o años y en las zonas rurales esto ocurre casi en el 100%. El presente trabajo de investigación es de tipo observacional, descriptivo de corte transversal y analítico cuyo objetivo principal es investigar la prevalencia de factores de riesgo asociados con la DM2 en el Municipio de Santa Rosa del departamento del Cauca, ubicado en el sur occidente de Colombia. El estudio fue diseñado para una confianza del 95%, para detectar una prevalencia de diabetes mellitus (auto-report) de 4% con una desviación estándar supuesta de 1.5% y una tasa de respuesta de 70%, la muestra final estuvo constituida por 832 participantes mayores de 18 años que se encuentran viviendo en el municipio de Santa Rosa - Cauca a los cuales se le aplicó un instrumento de recolección de datos diseñado con base en las encuestas para vigilancia de las ENT y DM2, con definiciones estándares y preguntas validadas por la OMS y OPS (STEPS), Finnish Diabetes Risk Score (FINDRISC), la encuesta nacional de salud de Chile 2009 e International Physical Activity Questionnaire (IPAQ), donde se recogió información acerca de datos sociodemográficos, medidas no invasivas (peso, talla, IMC y perímetro cintura) y factores de riesgo: antecedentes familiares de DM, historia de glucosa en sangre, presencia de HTA, tabaquismo, sedentarismo, hábitos alimentarios y consumo de alcohol. Dentro de los resultados obtenidos el factor de riesgo más frecuente fue el relacionado con los hábitos alimenticios obteniendo una cifra significativa para el no consumo de frutas y verduras (92,2%), seguido del sedentarismo (59%) y el sobrepeso (37%). Observamos también que aproximadamente un 41% de los participantes presentan Obesidad central según parámetros de IDF (≥ 94 cm hombres y ≥ 80 cm mujeres) y alrededor de 23% presentan obesidad central de acuerdo a OMS (≥ 102 cm hombres y ≥ 88 cm mujeres) encontrando mayor prevalencia en mujeres. En los resultados sobre padecimiento de hipertensión en la población encuestada tenemos que el 14% son hipertensos, de esta cifra un 67% son mujeres y el 33% son hombres; un 60% de los hipertensos encuestados declararon que siguen tratamiento con medicamento, el 40% restante refiere no seguir ningún tipo de tratamiento. El número de diabéticos encontrados fue de 4,6% correspondiente 22 mujeres y 16 hombres concentrados en su mayoría en la vereda el Carmelo. De acuerdo al FINDRISC el antecedente personal de DM fue referido por 38 personas distribuidos según sexo en 16 hombres y 22 mujeres, tomando como base la puntuación >13 puntos en el FINDRISC se obtiene: un 32,6% de los participantes tiene antecedentes de DM; en el caso de obesidad central hay un 84,6% de los hombres y un 97,8% de las mujeres que se ubican en este rango; la historia de glucosa en sangre fue de 15,7% para mujeres y 30,8%. En la escala para riesgo de desarrollar DM2 a 10 años aproximadamente solo un 2% de los hombres desarrollará la enfermedad en contraste con un 11% para las mujeres que se ubican en el rango ≥13 puntos. Estos resultados destacan la importancia de tomar acciones interinstitucionales coordinadas y encaminadas a modificar y promover los estilos de vida para disminuir en forma importante el riesgo de DM2, fortaleciendo especialmente los hábitos alimenticios y la actividad física.

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