The impact of confounding on the associations of different adiposity measures with the incidence of cardiovascular disease: a cohort study of 296 535 adults of white European descent
- PMID: 29718151
- PMCID: PMC5930252
- DOI: 10.1093/eurheartj/ehy057
The impact of confounding on the associations of different adiposity measures with the incidence of cardiovascular disease: a cohort study of 296 535 adults of white European descent
Abstract
Aims: The data regarding the associations of body mass index (BMI) with cardiovascular (CVD) risk, especially for those at the low categories of BMI, are conflicting. The aim of our study was to examine the associations of body composition (assessed by five different measures) with incident CVD outcomes in healthy individuals.
Methods and results: A total of 296 535 participants (57.8% women) of white European descent without CVD at baseline from the UK biobank were included. Exposures were five different measures of adiposity. Fatal and non-fatal CVD events were the primary outcome. Low BMI (≤18.5 kg m-2) was associated with higher incidence of CVD and the lowest CVD risk was exhibited at BMI of 22-23 kg m-2 beyond, which the risk of CVD increased. This J-shaped association attenuated substantially in subgroup analyses, when we excluded participants with comorbidities. In contrast, the associations for the remaining adiposity measures were more linear; 1 SD increase in waist circumference was associated with a hazard ratio of 1.16 [95% confidence interval (CI) 1.13-1.19] for women and 1.10 (95% CI 1.08-1.13) for men with similar magnitude of associations for 1 SD increase in waist-to-hip ratio, waist-to-height ratio, and percentage body fat mass.
Conclusion: Increasing adiposity has a detrimental association with CVD health in middle-aged men and women. The association of BMI with CVD appears more susceptible to confounding due to pre-existing comorbidities when compared with other adiposity measures. Any public misconception of a potential 'protective' effect of fat on CVD risk should be challenged. Take home figureThe obesity paradox is mainly due to the effect of confounding on BMI and disappears on other adiposity measures.
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Comment in
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Confounding is not the only bias influencing associations of adiposity with cardiovascular disease.Eur Heart J. 2018 May 1;39(17):1521-1522. doi: 10.1093/eurheartj/ehy133. Eur Heart J. 2018. PMID: 29718152 Free PMC article. No abstract available.
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Disproving the obesity paradox-not.Eur Heart J. 2018 Oct 21;39(40):3672. doi: 10.1093/eurheartj/ehy541. Eur Heart J. 2018. PMID: 30202911 Free PMC article. No abstract available.
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Understanding what we mean by the obesity paradox.Eur Heart J. 2018 Oct 21;39(40):3673. doi: 10.1093/eurheartj/ehy542. Eur Heart J. 2018. PMID: 30202921 No abstract available.
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