» Articles » PMID: 11073184

Geographic and Social Factors Are Related to Increased Morbidity and Mortality Rates in Diabetic Patients

Overview
Journal Diabet Med
Specialty Endocrinology
Date 2000 Nov 10
PMID 11073184
Citations 34
Authors
Affiliations
Soon will be listed here.
Abstract

Aims: To investigate differences in metabolic control, access to healthcare, clinical outcomes and mortality rates in people from different cultural and ethnic backgrounds living in different geographical areas within central London.

Methods: Out of a cohort of 610 patients living within the Greater London boundary and having a first visit to St Thomas' hospital in 1982-1985, 332 patients (54%) were reviewed in 1995, 186 patients (30%) died between 1982 and 1995 and 92 patients (16%) were lost to follow-up. The patients' corresponding 'electoral wards' were ascertained in relation to postcodes of residence (Mapinfo). Each electoral ward has a Jarman 'Underprivileged Area Score' (UPA) so that patients can be clustered into prosperous, intermediate or deprived areas.

Results: Patients living in deprived areas (n = 181) were older (61.3 years (95% confidence interval (CI) 59.5-63.1) vs. 58.6 years (95% CI 55.1-62.1), P = 0.01) and had a higher body mass index (29.2 kg/m2 (95% CI 28.4-30.0) vs. 25.7 kg/m2 (95% CI 24.1-27.2), P = 0.003) and worse glycaemic control (HbA1 (%), 10.5 (95% CI 10.1-10.9) vs. 9.1 (95% CI 8.2-10.0), P = 0.003) than patients in prosperous areas (n = 59). Patients in deprived areas were more likely to be Caucasian (P < 0.005), and were less likely to be insulin-treated (P = 0.004). Smoking was more prevalent in deprived areas (P = 0.02). The prevalence of microvascular complications was related to geographical location and the age-sex adjusted mortality rate was significantly higher in deprived than prosperous areas (2.6 vs. 1.91 per 100 person-years).

Conclusions: Environmental factors affect diabetes outcomes; increased morbidity and mortality rates in diabetic patients are related to socio-economic and ethnic status.

Citing Articles

Spatial spillover and the socio-ecological determinants of diabetes-related mortality across US counties.

Turi K, Grigsby-Toussaint D Appl Geogr. 2022; 85:62-72.

PMID: 36238660 PMC: 9555791. DOI: 10.1016/j.apgeog.2017.05.005.


Inequalities in access to community-based diabetes examination and its impact on healthcare utilization among middle-aged and older adults with diabetes in China.

Deng Q, Wei Y, Chen Y Front Public Health. 2022; 10:956883.

PMID: 36187706 PMC: 9523590. DOI: 10.3389/fpubh.2022.956883.


Spatial epidemiology of diabetes: Methods and insights.

Cuadros D, Li J, Musuka G, Awad S World J Diabetes. 2021; 12(7):1042-1056.

PMID: 34326953 PMC: 8311478. DOI: 10.4239/wjd.v12.i7.1042.


Delay in seeking medical care after the onset of symptoms in patients with sight-threatening diabetic retinopathy.

Wei Y, Mi F, Cui Y, Li Y, Wu X, Guo H J Int Med Res. 2021; 49(5):3000605211013224.

PMID: 34013762 PMC: 8150428. DOI: 10.1177/03000605211013224.


Age-Related Alterations in Endocrine Markers Do Not Match Changes in Psychosocial Measures: Findings From the Men's Health 40+ Longitudinal Study.

Lacker T, Walther A, Ehlert U Am J Mens Health. 2020; 14(3):1557988320926332.

PMID: 32456528 PMC: 7278106. DOI: 10.1177/1557988320926332.