Diabetes as a risk factor for stroke in women compared with men: A systematic review and meta-analysis of 64 cohorts, including 775 385 individuals and 12 539 strokes
Access Status
Authors
Date
2014Type
Metadata
Show full item recordCitation
Source Title
ISSN
School
Collection
Abstract
Background Diabetes mellitus is a major cause of death and disability worldwide and is a strong risk factor for stroke. Whether and to what extent the excess risk of stroke conferred by diabetes differs between the sexes is unknown. We did a systematic review and meta-analysis to estimate the relative effect of diabetes on stroke risk in women compared with men. Methods We systematically searched PubMed for reports of prospective, population-based cohort studies published between Jan 1, 1966, and Dec 16, 2013. Studies were selected if they reported sex-specific estimates of the relative risk (RR) for stroke associated with diabetes, and its associated variability. We pooled the sex-specific RRs and their ratio comparing women with men using random-effects meta-analysis with inverse-variance weighting. Findings Data from 64 cohort studies, representing 775 385 individuals and 12 539 fatal and non-fatal strokes, were included in the analysis. The pooled maximum-adjusted RR of stroke associated with diabetes was 2·28 (95% CI 1·93-2·69) in women and 1·83 (1·60-2·08) in men. Compared with men with diabetes, women with diabetes therefore had a greater risk of stroke-the pooled ratio of RRs was 1·27 (1·10-1·46; I2=0%), with no evidence of publication bias. This sex differential was seen consistently across major predefined stroke, participant, and study subtypes. Interpretation The excess risk of stroke associated with diabetes is significantly higher in women than men, independent of sex differences in other major cardiovascular risk factors. These data add to the existing evidence that men and women experience diabetes-related diseases differently and suggest the need for further work to clarify the biological, behavioural, or social mechanisms involved.
Related items
Showing items related by title, author, creator and subject.
-
Gnatiuc, L.; Herrington, W.; Halsey, J.; Tuomilehto, J.; Fang, X.; Kim, H.; De Bacquer, D.; Dobson, A.; Criqui, M.; Jacobs, D.; Leon, D.; Peters, S.; Ueshima, H.; Sherliker, P.; Peto, R.; Collins, R.; Huxley, Rachel; Emberson, J.; Woodward, M.; Lewington, S.; Aoki, N.; Arima, H.; Arnesen, E.; Aromaa, A.; Assmann, G.; Bachman, D.; Baigent, C.; Bartholomew, H.; Benetos, A.; Bengtsson, C.; Bennett, D.; Björkelund, C.; Blackburn, H.; Bonaa, K.; Boyle, E.; Broadhurst, R.; Carstensen, J.; Chambless, L.; Chen, Z.; Chew, S.; Clarke, R.; Cox, C.; Curb, J.; D'Agostino, R.; Date, C.; Davey Smith, G.; De Backer, G.; Dhaliwal, S.; Duan, X.; Ducimetiere, P.; Duffy, S.; Eliassen, H.; Elwood, P.; Empana, J.; Garcia-Palmieri, M.; Gazes, P.; Giles, G.; Gillis, C.; Goldbourt, U.; Gu, D.; Guasch-Ferre, M.; Guize, L.; Haheim, L.; Hart, C.; Hashimoto, S.; Hashimoto, T.; Heng, D.; Hjermann, I.; Ho, S.; Hobbs, M.; Hole, D.; Holme, I.; Horibe, H.; Hozawa, A.; Hu, F.; Hughes, K.; Iida, M.; Imai, K.; Imai, Y.; Iso, H.; Jackson, R.; Jamrozik, K.; Jee, S.; Jensen, G.; Jiang, C.; Johansen, N.; Jorgensen, T.; Jousilahti, P.; Kagaya, M.; Keil, J.; Keller, J.; Kim, I.; Kita, Y.; Kitamura, A.; Kiyohara, Y.; Knekt, P.; Knuiman, M.; Kornitzer, M.; Kromhout, D.; Kronmal, R. (2018)© 2018 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license Background: Several studies have shown that diabetes confers a higher relative risk of vascular mortality among ...
-
Huxley, Rachel; Bell, E.; Lutsey, P.; Bushnell, C.; Shahar, E.; Rosamond, W.; Gottesman, R.; Folsom, A. (2014)© 2013 Taylor and Francis. Objective. Previous studies have speculated that the higher stroke incidence rate (IR) in blacks compared with whites may be due, in part, to stroke risk factors exerting a more adverse effect ...
-
Huxley, Rachel; Peters, S.; Mishra, G.; Woodward, M. (2015)© 2015 Elsevier Ltd. Background: Studies have suggested sex differences in the mortality rate associated with type 1 diabetes. We did a meta-analysis to provide reliable estimates of any sex differences in the effect of ...