OBJECTIVE: We aim to determine whether a simple Indian diabetes risk score (IDRS) is associated with individuals with non-alcoholic fatty liver disease (NAFLD) among nondiabetic Asian Indians. METHODS: Nondiabetic participants (n = 409) were selected from the Chennai Urban Rural Epidemiology Study. Mean age was 40 ± 11.9 years, mean body mass index was 23.2 ± 3.9 kg/m(2), and 224 (54.8%) were women. The IDRS was classified as high (≥60), medium (30-50), and low (<30) risk. Non-alcoholic fatty liver disease was assessed by high-resolution β mode ultrasonography. To determine the factors associated with NAFLD, a univariate analysis was first done and a stepwise logistic regression analysis was done based on the factors associated with NAFLD. Biochemical and anthropometric measurements were obtained using standardized procedures. RESULTS: The overall prevalence of NAFLD was 24.7% (101/409 participants), and it was significantly higher among those with a high (30.4%) and medium IDRS (21%) compared with the low IDRS group (15.8%; trend chi square; p = .022). In stepwise logistic regression, IDRS was associated with NAFLD with an adjusted odds ratio of 1.78 (95% confidence interval 1.04-3.06), even after adjusting for potential confounders. CONCLUSIONS: The IDRS can be used as the initial step to screen individuals at high risk of NAFLD in the community.
OBJECTIVE: We aim to determine whether a simple Indian diabetes risk score (IDRS) is associated with individuals with non-alcoholic fatty liver disease (NAFLD) among nondiabetic Asian Indians. METHODS: Nondiabetic participants (n = 409) were selected from the Chennai Urban Rural Epidemiology Study. Mean age was 40 ± 11.9 years, mean body mass index was 23.2 ± 3.9 kg/m(2), and 224 (54.8%) were women. The IDRS was classified as high (≥60), medium (30-50), and low (<30) risk. Non-alcoholic fatty liver disease was assessed by high-resolution β mode ultrasonography. To determine the factors associated with NAFLD, a univariate analysis was first done and a stepwise logistic regression analysis was done based on the factors associated with NAFLD. Biochemical and anthropometric measurements were obtained using standardized procedures. RESULTS: The overall prevalence of NAFLD was 24.7% (101/409 participants), and it was significantly higher among those with a high (30.4%) and medium IDRS (21%) compared with the low IDRS group (15.8%; trend chi square; p = .022). In stepwise logistic regression, IDRS was associated with NAFLD with an adjusted odds ratio of 1.78 (95% confidence interval 1.04-3.06), even after adjusting for potential confounders. CONCLUSIONS: The IDRS can be used as the initial step to screen individuals at high risk of NAFLD in the community.
Authors: Shivakumar Chitturi; Shehan Abeygunasekera; Geoffrey C Farrell; Jane Holmes-Walker; Jason M Hui; Caroline Fung; Rooshdiya Karim; Rita Lin; Dev Samarasinghe; Christopher Liddle; Martin Weltman; Jacob George Journal: Hepatology Date: 2002-02 Impact factor: 17.425
Authors: J Lindström; A Neumann; K E Sheppard; A Gilis-Januszewska; C J Greaves; U Handke; P Pajunen; S Puhl; A Pölönen; A Rissanen; M Roden; T Stemper; V Telle-Hjellset; J Tuomilehto; D Velickiene; P E Schwarz; T Acosta; M Adler; A AlKerwi; N Barengo; R Barengo; J M Boavida; K Charlesworth; V Christov; B Claussen; X Cos; E Cosson; S Deceukelier; V Dimitrijevic-Sreckovic; P Djordjevic; P Evans; A-M Felton; M Fischer; R Gabriel-Sanchez; A Gilis-Januszewska; M Goldfracht; J L Gomez; C J Greaves; M Hall; U Handke; H Hauner; J Herbst; N Hermanns; L Herrebrugh; C Huber; U Hühmer; J Huttunen; A Jotic; Z Kamenov; S Karadeniz; N Katsilambros; M Khalangot; K Kissimova-Skarbek; D Köhler; V Kopp; P Kronsbein; B Kulzer; D Kyne-Grzebalski; K Lalic; N Lalic; R Landgraf; Y H Lee-Barkey; S Liatis; J Lindström; K Makrilakis; C McIntosh; M McKee; A C Mesquita; D Misina; F Muylle; A Neumann; A C Paiva; P Pajunen; B Paulweber; M Peltonen; L Perrenoud; A Pfeiffer; A Pölönen; S Puhl; F Raposo; T Reinehr; A Rissanen; C Robinson; M Roden; U Rothe; T Saaristo; J Scholl; P E Schwarz; K E Sheppard; S Spiers; T Stemper; B Stratmann; J Szendroedi; Z Szybinski; T Tankova; V Telle-Hjellset; G Terry; D Tolks; F Toti; J Tuomilehto; A Undeutsch; C Valadas; P Valensi; D Velickiene; P Vermunt; R Weiss; J Wens; T Yilmaz Journal: Horm Metab Res Date: 2010-04-13 Impact factor: 2.936
Authors: José A M Carvalho; Noël C Barengo; Jaakko Tuomilehto; Raquel D Conceição; Raul D Santos Journal: Ann Med Date: 2011-05-23 Impact factor: 4.709
Authors: G Marchesini; M Brizi; A M Morselli-Labate; G Bianchi; E Bugianesi; A J McCullough; G Forlani; N Melchionda Journal: Am J Med Date: 1999-11 Impact factor: 4.965