Overweight and obese cardiac patients have better prognosis despite reporting worse perceived health and more conventional risk factors
- PMID: 23480970
- DOI: 10.1016/j.ypmed.2013.02.012
Overweight and obese cardiac patients have better prognosis despite reporting worse perceived health and more conventional risk factors
Abstract
Objective: The obesity paradox in patients with cardiovascular disease (CVD) remains unexplained. We examined the role of self-rated health, behavioral and objectively assessed risk factors, in order to further explore mechanisms that might influence the association between body mass index (BMI) and mortality in CVD patients.
Methods: Participants were 4417 community dwelling adults from the Health Survey for England and Scottish Health Survey from 1994-2004 (aged 65.9 ±[Standard deviation (SD) 10.6 yrs], 56.2% men) with clinically diagnosed CVD at baseline.
Results: There were 570 CVD and 1441 and all-cause deaths, over an average of 7.3 yrs of follow-up. Overweight and obese patients reported worse self-rated health, more co-morbidities and biological risk factors. However, compared with non-obese participants (BMI<25 kg/m(2)), a lower risk of all-cause mortality was observed in overweight (BMI 25<30 kg/m(2)) (Hazard ratio [HR]=0.73, 95% confidence intervals [CI], 0.64-0.82), and obese (BMI ≥ 30 kg/m(2)) participants (HR=0.84, 95% CI, 0.73-0.97) after adjustment for age, sex, smoking, physical activity, and various co-morbidities.
Conclusions: Overweight and obese CVD patients have better prognosis despite reporting worse health, more co-morbidities and risk factors, and poorer adherence to lifestyle advice.
Copyright © 2013 Elsevier Inc. All rights reserved.
Comment in
-
Selection bias in cohorts of cases.Prev Med. 2013 Sep;57(3):247-8. doi: 10.1016/j.ypmed.2013.05.025. Epub 2013 Jun 5. Prev Med. 2013. PMID: 23747980 No abstract available.
-
Response: selection bias in cohorts of cases.Prev Med. 2013 Sep;57(3):249. doi: 10.1016/j.ypmed.2013.06.018. Epub 2013 Jun 26. Prev Med. 2013. PMID: 23811527 No abstract available.
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
