Literature DB >> 28461852

Diabetes risk assessment among squatter settlements in Pakistan: A cross-sectional study.

A Ishaque1, F Shahzad2, F H Muhammad3, Y Usman4, Z Ishaque5.   

Abstract

INTRODUCTION: Diabetes mellitus (DM) has evolved as a major public health concern worldwide, as its prevalence is increasing exponentially. Pakistan now ranks seventh among the countries with the highest burden of DM. It is expected to become one of the major causes of morbidity within the next 25 years. Therefore, finding an effective way to identify individuals at risk of developing diabetes is a necessity. The Finnish Diabetes Risk Score (FINDRISC) has proved to be an effective noninvasive screening tool for identifying individuals at risk for developing diabetes. The objective of this study was to determine the frequency of individuals who are at risk for developing DM and their risk of developing DM over the next 10 years using the FINDRISC tool.
METHODS: A cross-sectional survey was conducted on 241 adults. The data were collected using the FINDRISC questionnaire followed by calculation of a summated score and analysis to determine the association between the risk factors under study and the risk of developing diabetes.
RESULTS: Out of 241 study participants, 137 (56.8%) were men and 104 (43.1%) were women. Our study showed that 129 (53.5%) participants had low risk, 68 (28.2%) had slightly elevated risk, 27 (11.2%) had moderate risk and 17 (7%) had high risk of developing DM.
CONCLUSION: The general population should be educated about the importance of healthy lifestyle, with special emphases on maintaining an ideal body mass index and a low-risk waist circumference, along with daily fruit and vegetable intake and physical activity of at least 30 min/day.

Entities:  

Keywords:  Diabetes; diabetes risk; findrisc; screening tool

Year:  2016        PMID: 28461852      PMCID: PMC5408870     

Source DB:  PubMed          Journal:  Malays Fam Physician        ISSN: 1985-2274


  13 in total

1.  Standards of medical care in diabetes--2014.

Authors: 
Journal:  Diabetes Care       Date:  2014-01       Impact factor: 19.112

2.  Projected impact of implementing the results of the diabetes prevention program in the U.S. population.

Authors:  Sharon H Saydah; Danita Byrd-Holt; Maureen I Harris
Journal:  Diabetes Care       Date:  2002-11       Impact factor: 19.112

3.  Knowledge, attitudes and practices of type 2 diabetic patients.

Authors:  Naheed Gul
Journal:  J Ayub Med Coll Abbottabad       Date:  2010 Jul-Sep

4.  Validation of the Finnish diabetes risk score (FINDRISC) questionnaire for screening for undiagnosed type 2 diabetes, dysglycaemia and the metabolic syndrome in Greece.

Authors:  K Makrilakis; S Liatis; S Grammatikou; D Perrea; C Stathi; P Tsiligros; N Katsilambros
Journal:  Diabetes Metab       Date:  2010-12-07       Impact factor: 6.041

5.  Diabetes risk score: towards earlier detection of type 2 diabetes in general practice.

Authors:  S J Griffin; P S Little; C N Hales; A L Kinmonth; N J Wareham
Journal:  Diabetes Metab Res Rev       Date:  2000 May-Jun       Impact factor: 4.876

6.  Two risk-scoring systems for predicting incident diabetes mellitus in U.S. adults age 45 to 64 years.

Authors:  Henry S Kahn; Yiling J Cheng; Theodore J Thompson; Giuseppina Imperatore; Edward W Gregg
Journal:  Ann Intern Med       Date:  2009-06-02       Impact factor: 25.391

7.  Prediction of incident diabetes mellitus in middle-aged adults: the Framingham Offspring Study.

Authors:  Peter W F Wilson; James B Meigs; Lisa Sullivan; Caroline S Fox; David M Nathan; Ralph B D'Agostino
Journal:  Arch Intern Med       Date:  2007-05-28

8.  Waist circumference a good indicator of future risk for type 2 diabetes and cardiovascular disease.

Authors:  Reijo Siren; Johan G Eriksson; Hannu Vanhanen
Journal:  BMC Public Health       Date:  2012-08-09       Impact factor: 3.295

9.  Evaluation of Finnish Diabetes Risk Score in screening undiagnosed diabetes and prediabetes among U.S. adults by gender and race: NHANES 1999-2010.

Authors:  Lu Zhang; Zhenzhen Zhang; Yurong Zhang; Gang Hu; Liwei Chen
Journal:  PLoS One       Date:  2014-05-22       Impact factor: 3.240

10.  Predicting diabetes: clinical, biological, and genetic approaches: data from the Epidemiological Study on the Insulin Resistance Syndrome (DESIR).

Authors:  Beverley Balkau; Céline Lange; Leopold Fezeu; Jean Tichet; Blandine de Lauzon-Guillain; Sebastien Czernichow; Frederic Fumeron; Philippe Froguel; Martine Vaxillaire; Stephane Cauchi; Pierre Ducimetière; Eveline Eschwège
Journal:  Diabetes Care       Date:  2008-08-08       Impact factor: 17.152

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.