Literature DB >> 7587009

Variation of diabetes mellitus prevalence in general practice and its relation to deprivation.

P Meadows1.   

Abstract

This is an observational study to compare age standardized diabetes prevalences and relate these to socio-economic measures of deprivation. It includes data from eight general (family) practices in the Bristol, UK, area with no ethnic minorities affecting diabetes prevalence. A total population of 71 599 was covered, including 181 Type 1 and 901 Type 2 diabetic patients, 91 of whom were controlled with insulin, 499 with oral hypoglycaemics, and 311 with diet alone. Actual Type 1 and Type 2 diabetes prevalences were standardized to what they would be if each practice had the UK national age profile. Total standardized diabetes prevalence varied from 1.31% to 2.51% (p < 0.001) and Type 2 diabetes prevalence from 0.97% to 2.29% (p < 0.001). There was no significant variation in the prevalence of Type 1 diabetes. The Spearman rank correlation coefficient indicated a significant association between standardized diabetes prevalence and two measures, the Jarman and Townsend indices, of deprivation in the electoral ward where each practice was situated. Total standardized diabetes prevalence was significantly correlated with each of the Jarman and Townsend indices (r = 0.76, p < 0.05). Standardized Type 2 diabetes prevalence was similarly significantly correlated to each deprivation index (rs = 0.74, p < 0.05). Type 2 diabetes prevalence is affected by socio-economic factors with implications for health targets and capitation based budgets.

Entities:  

Mesh:

Substances:

Year:  1995        PMID: 7587009     DOI: 10.1111/j.1464-5491.1995.tb00572.x

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  11 in total

1.  The demographic and social class basis of inequality in self reported morbidity: an exploration using the Health Survey for England.

Authors:  S Asthana; A Gibson; G Moon; P Brigham; J Dicker
Journal:  J Epidemiol Community Health       Date:  2004-04       Impact factor: 3.710

2.  Education, income, occupation, and the 34-year incidence (1965-99) of Type 2 diabetes in the Alameda County Study.

Authors:  Siobhan C Maty; Susan A Everson-Rose; Mary N Haan; Trivellore E Raghunathan; George A Kaplan
Journal:  Int J Epidemiol       Date:  2005-08-24       Impact factor: 7.196

3.  Estimation of the prevalence of diagnosed diabetes from primary care and secondary care source data: comparison of record linkage with capture-recapture analysis.

Authors:  J N Harvey; L Craney; D Kelly
Journal:  J Epidemiol Community Health       Date:  2002-01       Impact factor: 3.710

4.  Income, wealth and risk of diabetes among older adults: cohort study using the English longitudinal study of ageing.

Authors:  Takahisa Tanaka; Edlira Gjonça; Martin C Gulliford
Journal:  Eur J Public Health       Date:  2011-05-12       Impact factor: 3.367

5.  Collation and comparison of multi-practice audit data: prevalence and treatment of known diabetes mellitus.

Authors:  K Khunti; E Goyder; R Baker
Journal:  Br J Gen Pract       Date:  1999-05       Impact factor: 5.386

6.  How do individuals with diabetes use the accident and emergency department?

Authors:  E C Goyder; S W Goodacre; J L Botha; G G Bodiwala
Journal:  J Accid Emerg Med       Date:  1997-11

7.  The effect of screening on the prevalence of diagnosed type 2 diabetes in primary care.

Authors:  Mark Spigt; Annelies Rikkers; Mirte Doornbos; Evelyn Wouters; Isi Spitz; Ludovic Van Amelsvoort; Paul Zwietering
Journal:  Scand J Prim Health Care       Date:  2009       Impact factor: 2.581

8.  Influences on the variation in prevalence of type 2 diabetes between general practices: practice, patient or socioeconomic factors?

Authors:  David L Whitford; Simon J Griffin; A Toby Prevost
Journal:  Br J Gen Pract       Date:  2003-01       Impact factor: 5.386

9.  The association between socioeconomic disparities and left ventricular hypertrophy in chronic kidney disease: results from the KoreaN Cohort Study for Outcomes in Patients With Chronic Kidney Disease (KNOW-CKD).

Authors:  Eunjeong Kang; Joongyub Lee; Hyo Jin Kim; Miyeun Han; Soo Wan Kim; Kyu-Beck Lee; Suah Sung; Tae-Hyun Yoo; Wookyung Chung; Curie Ahn; Kook-Hwan Oh
Journal:  BMC Nephrol       Date:  2018-08-16       Impact factor: 2.388

10.  Inter-practice variation in diagnosing hypertension and diabetes mellitus: a cross-sectional study in general practice.

Authors:  Markus M J Nielen; François G Schellevis; Robert A Verheij
Journal:  BMC Fam Pract       Date:  2009-01-21       Impact factor: 2.497

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.