نتایج جستجو برای: indian diabetes risk score

تعداد نتایج: 1401570  

Journal: :Ethnicity & disease 2006
Susan L Ivey Kala M Mehta Christina L Wassel Fyr Alka M Kanaya

OBJECTIVE Few population-based studies report cardiovascular disease (CVD) risk factor prevalence for South Asians in the United States. We examined CVD risk for South Asians in California. DESIGN/SETTING/PARTICIPANTS We used data from two population-based surveys with South Asian participants in California, the California Health Interview Survey (CHIS) and the Cardiovascular Health among Asi...

Journal: :Diabetes research and clinical practice 2016
K Khunti C L Gillies H Dallosso E M Brady L J Gray G Kilgallen A Willis A Zafar M J Davies

AIMS To assess the opportunistic use in primary care of a computer risk score versus a self-assessment risk score for undiagnosed type 2 diabetes. METHODS We conducted a randomised controlled trial in 11 primary care practices in the UK. 577 patients aged 40-75years with no current diagnosis of type 2 diabetes were recruited to a computer based risk score (Leicester Practice Computer Risk Sco...

2015
Jinnie J. Rhee Josiemer Mattei Michael D. Hughes Frank B. Hu Walter C. Willett

OBJECTIVE To evaluate racial and ethnic differences in the association between a dietary diabetes risk reduction score and incidence of type 2 diabetes in U.S. white and minority women. RESEARCH DESIGN AND METHODS We followed 156,030 non-Hispanic white (NHW), 2,026 Asian, 2,053 Hispanic, and 2,307 black women in the Nurses' Health Study (NHS) (1980-2008) and NHS II (1991-2009). A time-updated...

Mehdi Agha Sarram, Razieh Sheikhpour,

Objective: Diabetes is one of the most common metabolic diseases. Earlier diagnosis of diabetes and treatment of hyperglycemia and related metabolic abnormalities is of vital importance. Diagnosis of diabetes via proper interpretation of the diabetes data is an important classification problem. Classification systems help the clinicians to predict the risk factors that cause the diabetes or pre...

Journal: :Family practice 2008
Mushtaqur Rahman Rebecca K Simmons Anne-Helen Harding Nicholas J Wareham Simon J Griffin

BACKGROUND Randomized trials have demonstrated that Type 2 diabetes is preventable among high-risk individuals. To date, such individuals have been identified through population screening using the oral glucose tolerance test. OBJECTIVE To assess whether a risk score comprising only routinely collected non-biochemical parameters was effective in identifying those at risk of developing Type 2 ...

2013
Vasu Reddy Challa Krishnamurthy Swamyvelu Naren Shetty

INTRODUCTION Breast cancer screening programmes are based on various risk models to assess the risk of breast cancer in the general population. The aim of the present study is to predict the efficacy of the Gail model (GM) in the Indian population. We did a retrospective calculation of the Gail score from the hospital records of patients with breast cancer and benign breast disease. MATERIALS...

Journal: :acta medica iranica 0
m. hashemi h. taheri n. amiri m. yavari i. shaigannia l. moghadas

impaired fasting glucose identifies individuals at high risk of progression to diabetes but the role of ifg as a coronary artery disease risk factor, independent of its progression to diabetes and its association with other coronary artery disease risk factors ,is unclear. a cross-sectional study was conducted to evaluate the hypothesis that impaired fasting glucose increased the likelihood of ...

2017
Omprakash Chandrakar Jatinderkumar R. Saini

Diabetes Risk Score (DRS) tools are computational tools, used to assess the risk of a person’s getting diabetes. DRS tools are generally used as a simple, inexpensive and non-invasive mass screening tool to detect diabetes. Various DRS tools are reported in literature and being used successfully. The accuracy of the DRS tools highly depends on the parameters used to derive it. Total Diabetic Ri...

2010
Veikko Salomaa Aki Havulinna Olli Saarela Tanja Zeller Pekka Jousilahti Antti Jula Thomas Muenzel Arpo Aromaa Alun Evans Kari Kuulasmaa Stefan Blankenberg

BACKGROUND The prevalence of diabetes is increasing in all industrialized countries and its prevention has become a public health priority. However, the predictors of diabetes risk are insufficiently understood. We evaluated, whether 31 novel biomarkers could help to predict the risk of incident diabetes. METHODS AND FINDINGS The biomarkers were evaluated primarily in the FINRISK97 cohort (n ...

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