Quantifying the risk of type 2 diabetes in East London using the QDScore: A cross-sectional analysis

British Journal of General Practice

Volumn 62, Issue 603, 2012, Pages

  Mathur, Rohini ^a   Noble, Douglas ^a   Smith, Dianna ^a   Greenhalgh, Trisha ^a   Robson, John ^a  

^a QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

Diabetes mellitus, type 2; General practice; Public health; QDScore, QDiabetes, electronic medical record; Risk

Indexed keywords

ADULT; AGE DISTRIBUTION; AGED; ARTICLE; ASIAN; CARDIOVASCULAR DISEASE; COMORBIDITY; DIABETIC PATIENT; ELECTRONIC MEDICAL RECORD; ETHNICITY; FEMALE; GEOGRAPHIC DISTRIBUTION; HIGH RISK PATIENT; HUMAN; HYPERTENSION; MAJOR CLINICAL STUDY; MALE; NON INSULIN DEPENDENT DIABETES MELLITUS; OBESITY; POPULATION RESEARCH; PRIMARY MEDICAL CARE; QDSCORE; RISK ASSESSMENT; SCORING SYSTEM; SEX DIFFERENCE; SOUTH ASIA; UNITED KINGDOM; VALIDATION STUDY;

ADOLESCENT; ADULT; AGED; ASIAN CONTINENTAL ANCESTRY GROUP; CARDIOVASCULAR DISEASES; COMORBIDITY; CROSS-SECTIONAL STUDIES; DIABETES MELLITUS, TYPE 2; ELECTRONIC HEALTH RECORDS; FEMALE; FORECASTING; GENERAL PRACTICE; HUMANS; LONDON; MALE; MIDDLE AGED; POVERTY AREAS; PREVALENCE; PUBLIC HEALTH; RISK ASSESSMENT; RISK FACTORS; SOCIOECONOMIC FACTORS; YOUNG ADULT;

EID: 84867408631     PISSN: 09601643     EISSN: None     Source Type: Journal    
DOI: 10.3399/bjgp12X656793     Document Type: Article

References (24)

1. Whiting DR, Guariguata L, Weil C, Shaw J. IDF diabetes atlas: global estimates of the prevalence of diabetes for 2011 and 2030. Diabetes Res Clin Pract 2011; 94(3): 311-321.
2. United Nations General Assembly. Political declaration of the High-level Meeting of the General Assembly on the Prevention and Control of Non-communicable Diseases. http://www.un.org/ga/search/view-doc.asp?symbol=A/66/ L.1 (accessed 3 Sep 2012).
3. Holman N, Forouhi NG, Goyder E, Wild SH. The Association of Public Health Observatories (APHO) Diabetes Prevalence Model: estimates of total diabetes prevalence for England, 2010-2030. Diabet Med 2011; 28(5): 575-582.
4. National Institute for Health and Clinical Excellence. Preventing type 2 diabetes: population and community interventions. Public health guidance 35. London: NICE, 2011. http://guidance.nice.org.uk/PH35 (accessed 21 Aug 2012).
5. National, Clinical, Audit, Support, Programme. National diabetes audit executive summary 2008/9. London: NHS National Information Centre, 2009.
6. Hippisley-Cox J, Coupland C. Predicting the risk of chronic kidney disease in men and women in England and Wales: prospective derivation and external validation of the QKidney Scores. BMC Fam Pract 2010; 11: 49.
7. Hippisley-Cox J, Coupland C, Robson J, et al. Predicting risk of type 2 diabetes in England and Wales: prospective derivation and validation of QDScore. BMJ 2009; 338: b880.
8. Hippisley-Cox J, Coupland C, Vinogradova Y, et al. Predicting cardiovascular risk in England and Wales: prospective derivation and validation of QRISK2. BMJ 2008; 336(7659): 1475-1482. (Pubitemid 351977019)
9. Noble D, Mathur R, Dent T, et al. Risk models and scores for type 2 diabetes: systematic review. BMJ 2011; 343: d7163.
10. Egton Medical Information Systems Ltd. EMIS Web. Leeds: EMIS. http://www.emis-online.com/emis-web (accessed 21 Aug 2012).
11. Clinical Effectiveness Group . Diabetes risk 2011. London: Barts and the London School of Medicine and Dentistry, 2011. http://www.icms.qmul.ac.uk/chs/ Docs/63543.pdf (accessed 21 Aug 2012).
12. Noble D, Smith D, Mathur R, et al. Feasibility study of geospatial mapping of chronic disease risk to inform public health commissioning. BMJ Open 2012; 2(1): e000711. http://bmjopen.bmj.com/content/2/1/e000711.full (accessed 21 Aug 2012).
13. Childs C. Interpolating surfaces in ArcGIS Spatial Analyst. ArcUser 2004; July-September: 32-35.
14. Barker LE, Kirtland KA, Gregg EW, et al. Geographic distribution of diagnosed diabetes in the U.S.: a diabetes belt. Am J Prev Med 2011; 40(4): 434-439.
15. Wales R, Roberts C, Pipe J, et al. Strategic Regeneration Framework. An Olympic legacy for the host boroughs. London, 2009. http://www.hackney. gov.uk/Assets/Documents/strategic-regeneration-framework-report.pdf (accessed 4 Sep 2012).
16. Collins GS, Altman DG. External validation of QDSCORE((R)) for predicting the 10-year risk of developing Type 2 diabetes. Diabet Med 2011; 28(5): 599-607.
17. Buijsse B, Simmons RK, Griffin SJ, Schulze MB. Risk assessment tools for identifying individuals at risk of developing type 2 diabetes. Epidemiol Rev 2011; 33(1): 46-62.
18. Collins GS, Mallett S, Omar O, Yu LM. Developing risk prediction models for type 2 diabetes: a systematic review of methodology and reporting. BMC Med 2011; 9: 103.
19. Abduelkarem AR, Sharif SI, Hammrouni AM, Aldouibi SS, et al. Risk calculation of developing type 2 diabetes in Libyan adults. Practical Diabetes International 2009; 26(4): 148-151.
20. Hjellset VT, Bjorge B, Eriksen HR, Hostmark AT. Risk factors for type 2 diabetes among female Pakistani immigrants: the InvaDiab-DEPLAN study on Pakistani immigrant women living in Oslo, Norway. J Immigr Minor Health 2011; 13(1): 101-110.
21. Gillies CL, Abrams KR, Lambert PC,et al. Pharmacological and lifestyle interventions to prevent or delay type 2 diabetes in people with impaired glucose tolerance: systematic review and meta-analysis. BMJ 2007; 334(7588): 299.
22. Simmons RK, Harding AH, Jakes RW, et al. How much might achievement of diabetes prevention behaviour goals reduce the incidence of diabetes if implemented at the population level? Diabetologia 2006; 49(5): 905-911.
23. Marmot M. Fair society healthy lives (the Marmot review). London: UCL Institute of Health Equity, 2010. http://www.instituteofhealthequity.org/ projects/fair-society-healthy-lives-the-marmot-review (accessed 21 Aug 2012).
24. National Institute for Health and Clinical Excellence. Preventing type 2 diabetes - risk identification and interventions for individuals at high risk. Public health guidance PH38. London: NICE, 2012. http://guidance.nice.org.uk/ PH38 (accessed 21 Aug 2012).