BACKGROUND: People in a lower social position have a higher prevalence of unhealthy behaviour, more difficult access to healthcare, and lower compliance with drug treatment; as a consequence, social differences in mortality are likely to be higher in people with diabetes compared with the non-diabetic population. We compared diabetics with non-diabetics in terms of mortality and social differences in mortality. METHODS: In all, 31 264 residents in Turin (northern Italy), who were > or =20 years old, registered in the local diabetes register between 1991 and 1999. They were followed up from recruitment to December 1999, and their cause-specific mortality by educational level was analysed. This was compared with that of the local non-diabetic population. Diabetes was classified as type 1 (< or =35 years at diagnosis) or type 2 (>35 years). RESULTS: For type 1 diabetes, the all-cause standardized mortality ratio (SMR) was 197.6 (95% CI:155.7, 247.4) in men and 336.0 (95% CI:259.3, 428.2) in women; for type 2 diabetes, the all-cause SMR was 142.8 (95% CI:138, 147.6) in men and 143.4 (95% CI:138.5, 148.5) in women. Whereas social differences in mortality were evident among non-diabetic men and women for all causes of death considered, no significant differences were found among diabetic women. Mortality was slightly increased among less educated diabetic men, particularly for neoplasms, although this gradient was less steep than that among non-diabetics. CONCLUSIONS: These results suggest that the regular clinical follow-up and health education provided by the local network of diabetic centres might play an important role in confronting the adverse effects of diabetes and in reducing social differences in health.
BACKGROUND:People in a lower social position have a higher prevalence of unhealthy behaviour, more difficult access to healthcare, and lower compliance with drug treatment; as a consequence, social differences in mortality are likely to be higher in people with diabetes compared with the non-diabetic population. We compared diabetics with non-diabetics in terms of mortality and social differences in mortality. METHODS: In all, 31 264 residents in Turin (northern Italy), who were > or =20 years old, registered in the local diabetes register between 1991 and 1999. They were followed up from recruitment to December 1999, and their cause-specific mortality by educational level was analysed. This was compared with that of the local non-diabetic population. Diabetes was classified as type 1 (< or =35 years at diagnosis) or type 2 (>35 years). RESULTS: For type 1 diabetes, the all-cause standardized mortality ratio (SMR) was 197.6 (95% CI:155.7, 247.4) in men and 336.0 (95% CI:259.3, 428.2) in women; for type 2 diabetes, the all-cause SMR was 142.8 (95% CI:138, 147.6) in men and 143.4 (95% CI:138.5, 148.5) in women. Whereas social differences in mortality were evident among non-diabeticmen and women for all causes of death considered, no significant differences were found among diabeticwomen. Mortality was slightly increased among less educated diabeticmen, particularly for neoplasms, although this gradient was less steep than that among non-diabetics. CONCLUSIONS: These results suggest that the regular clinical follow-up and health education provided by the local network of diabetic centres might play an important role in confronting the adverse effects of diabetes and in reducing social differences in health.
Authors: C A Jackson; N R V Jones; J J Walker; C M Fischbacher; H M Colhoun; G P Leese; R S Lindsay; J A McKnight; A D Morris; J R Petrie; N Sattar; S H Wild Journal: Diabetologia Date: 2012-08-15 Impact factor: 10.122
Authors: Aaron M Secrest; Tina Costacou; Bruce Gutelius; Rachel G Miller; Thomas J Songer; Trevor J Orchard Journal: Ann Epidemiol Date: 2011-05 Impact factor: 3.797
Authors: Aaron M Secrest; Tina Costacou; Bruce Gutelius; Rachel G Miller; Thomas J Songer; Trevor J Orchard Journal: Ann Epidemiol Date: 2011-05 Impact factor: 3.797
Authors: Marcel Zwahlen; Ross Harris; Margaret May; Robert Hogg; Dominique Costagliola; Frank de Wolf; John Gill; Gerd Fätkenheuer; Charlotte Lewden; Mike Saag; Sholmo Staszewski; Antonella d'Arminio Monforte; Jordi Casabona; Fiona Lampe; Amy Justice; Viktor von Wyl; Matthias Egger Journal: Int J Epidemiol Date: 2009-10-09 Impact factor: 7.196
Authors: Roberto Gnavi; Roberta Picariello; Ludmi la Karaghiosoff; Giuseppe Costa; Carlo Giorda Journal: Diabetes Care Date: 2009-08-12 Impact factor: 17.152
Authors: Martin W G Brinkhof; Andrew Boulle; Ralf Weigel; Eugène Messou; Colin Mathers; Catherine Orrell; François Dabis; Margaret Pascoe; Matthias Egger Journal: PLoS Med Date: 2009-04-28 Impact factor: 11.069