Metabolic mediators of the effects of body-mass index, overweight, and obesity on coronary heart disease and stroke: a pooled analysis of 97 prospective cohorts with 1·8 million participants - PubMed (original) (raw)
Metabolic mediators of the effects of body-mass index, overweight, and obesity on coronary heart disease and stroke: a pooled analysis of 97 prospective cohorts with 1·8 million participants
Global Burden of Metabolic Risk Factors for Chronic Diseases Collaboration (BMI Mediated Effects) et al. Lancet. 2014.
Abstract
Background: Body-mass index (BMI) and diabetes have increased worldwide, whereas global average blood pressure and cholesterol have decreased or remained unchanged in the past three decades. We quantified how much of the effects of BMI on coronary heart disease and stroke are mediated through blood pressure, cholesterol, and glucose, and how much is independent of these factors.
Methods: We pooled data from 97 prospective cohort studies that collectively enrolled 1·8 million participants between 1948 and 2005, and that included 57,161 coronary heart disease and 31,093 stroke events. For each cohort we excluded participants who were younger than 18 years, had a BMI of lower than 20 kg/m(2), or who had a history of coronary heart disease or stroke. We estimated the hazard ratio (HR) of BMI on coronary heart disease and stroke with and without adjustment for all possible combinations of blood pressure, cholesterol, and glucose. We pooled HRs with a random-effects model and calculated the attenuation of excess risk after adjustment for mediators.
Findings: The HR for each 5 kg/m(2) higher BMI was 1·27 (95% CI 1·23-1·31) for coronary heart disease and 1·18 (1·14-1·22) for stroke after adjustment for confounders. Additional adjustment for the three metabolic risk factors reduced the HRs to 1·15 (1·12-1·18) for coronary heart disease and 1·04 (1·01-1·08) for stroke, suggesting that 46% (95% CI 42-50) of the excess risk of BMI for coronary heart disease and 76% (65-91) for stroke is mediated by these factors. Blood pressure was the most important mediator, accounting for 31% (28-35) of the excess risk for coronary heart disease and 65% (56-75) for stroke. The percentage excess risks mediated by these three mediators did not differ significantly between Asian and western cohorts (North America, western Europe, Australia, and New Zealand). Both overweight (BMI ≥25 to <30 kg/m(2)) and obesity (BMI ≥30 kg/m(2)) were associated with a significantly increased risk of coronary heart disease and stroke, compared with normal weight (BMI ≥20 to <25 kg/m(2)), with 50% (44-58) of the excess risk of overweight and 44% (41-48) of the excess risk of obesity for coronary heart disease mediated by the selected three mediators. The percentages for stroke were 98% (69-155) for overweight and 69% (64-77) for obesity.
Interpretation: Interventions that reduce high blood pressure, cholesterol, and glucose might address about half of excess risk of coronary heart disease and three-quarters of excess risk of stroke associated with high BMI. Maintenance of optimum bodyweight is needed for the full benefits.
Funding: US National Institute of Health, UK Medical Research Council, National Institute for Health Research Comprehensive Biomedical Research Centre at Imperial College Healthcare NHS Trust, Lown Scholars in Residence Program on cardiovascular disease prevention, and Harvard Global Health Institute Doctoral Research Grant.
Copyright © 2014 Elsevier Ltd. All rights reserved.
Figures
Figure 1
Hazard ratios per 5 kg/m2 higher body-mass index adjusted for different combinations of mediators in coronary heart disease and stroke All hazard ratios were also adjusted for confounders as described in Methods. The appendix (pp 19–36) shows cohort-specific hazard ratios.
Figure 2
Stratified analyses of HRs per 5 kg/m2 higher body-mass index, with and without adjustment for mediators in CHD (A) and stroke (B) p values were meta-regression p values between groups. Results are presented for all three mediators combined. The appendix (pp 73–90) shows HRs with adjustment for combinations of one and two mediators**.** CHD=coronary heart disease. HR=hazard ratio
Figure 3
Percentage of excess risk per 5 kg/m2 higher body-mass index mediated through different combinations of metabolic risk factors in coronary heart disease and stroke
Comment in
- Overweight, obesity, and outcomes: fat mass and beyond.
Van Gaal LF, Maggioni AP. Van Gaal LF, et al. Lancet. 2014 Mar 15;383(9921):935-6. doi: 10.1016/S0140-6736(13)62076-0. Epub 2013 Nov 22. Lancet. 2014. PMID: 24269110 No abstract available. - [Increased BMI: Which effect do additional risk factors have? - Obese patients: Additional risk factors are highly involved].
Krone W. Krone W. Dtsch Med Wochenschr. 2014 May;139(21):1092. doi: 10.1055/s-0033-1353904. Epub 2014 May 7. Dtsch Med Wochenschr. 2014. PMID: 24806221 German. No abstract available. - Metabolic mediators of body-mass index and cardiovascular risk.
Wormser D, Wood AM, Di Angelantonio E, Thompson SG, Danesh J; Emerging Risk Factors Collaboration. Wormser D, et al. Lancet. 2014 Jun 14;383(9934):2042-2043. doi: 10.1016/S0140-6736(14)60991-0. Lancet. 2014. PMID: 24931685 No abstract available. - Metabolic mediators of body-mass index and cardiovascular risk.
Chiolero A, Kaufman JS. Chiolero A, et al. Lancet. 2014 Jun 14;383(9934):2042. doi: 10.1016/S0140-6736(14)60990-9. Lancet. 2014. PMID: 24931686 No abstract available. - Metabolic mediators of body-mass index and cardiovascular risk--authors' reply.
Danaei G, Lu Y, Hajifathalian K, Rimm EB, Woodward M, Ezzati M. Danaei G, et al. Lancet. 2014 Jun 14;383(9934):2043-2044. doi: 10.1016/S0140-6736(14)60992-2. Lancet. 2014. PMID: 24931687 No abstract available. - Re: Mediators of the Effect of Body Mass Index on Coronary Heart Disease.
Fritz J, Strohmaier S, Nagel G, Concin H, Ulmer H. Fritz J, et al. Epidemiology. 2016 May;27(3):e13-4. doi: 10.1097/EDE.0000000000000442. Epidemiology. 2016. PMID: 26808599 No abstract available. - The Authors Respond.
Lu Y, Hajifathalian K, Rimm EB, Ezzati M, Danaei G. Lu Y, et al. Epidemiology. 2016 May;27(3):e14-5. doi: 10.1097/EDE.0000000000000443. Epidemiology. 2016. PMID: 26808603 Free PMC article. No abstract available.
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