Body Mass Index versus Percent Body Fat as a Predictor of Mortality in Men Aged 20-49

<h3>Context:</h3> Body mass index (BMI) is commonly used as a risk marker for mortality and cardiometabolic disease, but its predictive ability has come into question. Other body composition measures may have more utility in practice. <h3>Objective:</h3> To examine the predictive ability of accepted thresholds of BMI versus body fat percentage for 15-year mortality risk in young men and further characterize the BMI &gt;=25 and BF% &gt;=28% cohorts by comparing their respective prevalence of markers of cardiometabolic syndrome, diet, and exercise. <h3>Study Design &amp; Analysis:</h3> In this retrospective cohort analysis, Cox proportional hazards regression was computed for 15-year mortality risk. Healthy BMI was defined as 18.5-24.9 and unhealthy BMI as &gt;= 25. After a sensitivity analysis in men aged 20-49, healthy BF% was defined as &lt; 28 and unhealthy BF% as &gt;=28. 15-year mortality risk for the predictors of BMI and BF% was computed. Results were adjusted for age, poverty, and race. <h3>Dataset:</h3> NHANES 1999-2004 linked to the National Death Index which provides population estimates of the US population. <h3>Population Studied:</h3> Men aged 20-49 <h3>Instrument:</h3> Cox proportional hazards for 15-year mortality <h3>Outcome Measures:</h3> 15 year all-cause, heart disease, and/or cancer mortality <h3>Results:</h3> BF% is a strong significant predictor of 15-year, all-cause mortality [unadjusted hazard ratio (HR) 2.16, 95% confidence interval (CI) 1.44-3.25, P&lt;0.001; adjusted HR 1.93, CI 1.27-2.94, P=0.002] and heart disease mortality (unadjusted HR 5.55, 95% CI 1.53-20.14, P=0.009; adjusted HR 5.099, 95% CI 1.32-19.62, P= 0.02). BMI was not significant as a predictor in young adult men using healthy weight BMI versus overweight/obese. Significantly more subjects had a waist circumference &gt;40 inches, hypertension, and hyperlipidemia in the BF% &gt;= 28% group than the BMI &gt;=25 group, but there was no difference in diabetes, calorie intake, or nutrient intake. While cardiovascular fitness was the same between these groups, the BF&gt;=28% group performed significantly more moderate and vigorous activity over the past 30 days. <h3>Conclusions:</h3> BF% is a much better predictor of downstream mortality in young adult men than BMI. This could ultimately lead to a change in how we measure body composition for risk stratification. BF% is a better predictor of certain markers of cardiometabolic syndrome, and these patients may be more likely to increase their exercise if appropriately counseled to improve their health.

Authors

Publication Details

Published
2024-11-20
DOI
https://doi.org/10.1370/afm.22.s1.6079
Citations
1
Primary Topic
Body Composition Measurement Techniques
Type
article
Field-Weighted Citation Impact
0.33
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Body Mass Index versus Percent Body Fat as a Predictor of Mortality in Men Aged 20-49

Aaron Saguil, Frank A. Orlando, Velyn Wu, Arch G. Mainous et al.
1 citations
Body Composition Measurement Techniques
0.33
article

Body Mass Index versus Percent Body Fat as a Predictor of Mortality in Men Aged 20-49

Aaron Saguil, Frank A. Orlando, Velyn Wu, Arch G. Mainous, Lu Yin, Pooja Sharma, David E. Nelson, B. J. JENKINS
article en
1 citations

Abstract

<h3>Context:</h3> Body mass index (BMI) is commonly used as a risk marker for mortality and cardiometabolic disease, but its predictive ability has come into question. Other body composition measures may have more utility in practice. <h3>Objective:</h3> To examine the predictive ability of accepted thresholds of BMI versus body fat percentage for 15-year mortality risk in young men and further characterize the BMI &gt;=25 and BF% &gt;=28% cohorts by comparing their respective prevalence of markers of cardiometabolic syndrome, diet, and exercise. <h3>Study Design &amp; Analysis:</h3> In this retrospective cohort analysis, Cox proportional hazards regression was computed for 15-year mortality risk. Healthy BMI was defined as 18.5-24.9 and unhealthy BMI as &gt;= 25. After a sensitivity analysis in men aged 20-49, healthy BF% was defined as &lt; 28 and unhealthy BF% as &gt;=28. 15-year mortality risk for the predictors of BMI and BF% was computed. Results were adjusted for age, poverty, and race. <h3>Dataset:</h3> NHANES 1999-2004 linked to the National Death Index which provides population estimates of the US population. <h3>Population Studied:</h3> Men aged 20-49 <h3>Instrument:</h3> Cox proportional hazards for 15-year mortality <h3>Outcome Measures:</h3> 15 year all-cause, heart disease, and/or cancer mortality <h3>Results:</h3> BF% is a strong significant predictor of 15-year, all-cause mortality [unadjusted hazard ratio (HR) 2.16, 95% confidence interval (CI) 1.44-3.25, P&lt;0.001; adjusted HR 1.93, CI 1.27-2.94, P=0.002] and heart disease mortality (unadjusted HR 5.55, 95% CI 1.53-20.14, P=0.009; adjusted HR 5.099, 95% CI 1.32-19.62, P= 0.02). BMI was not significant as a predictor in young adult men using healthy weight BMI versus overweight/obese. Significantly more subjects had a waist circumference &gt;40 inches, hypertension, and hyperlipidemia in the BF% &gt;= 28% group than the BMI &gt;=25 group, but there was no difference in diabetes, calorie intake, or nutrient intake. While cardiovascular fitness was the same between these groups, the BF&gt;=28% group performed significantly more moderate and vigorous activity over the past 30 days. <h3>Conclusions:</h3> BF% is a much better predictor of downstream mortality in young adult men than BMI. This could ultimately lead to a change in how we measure body composition for risk stratification. BF% is a better predictor of certain markers of cardiometabolic syndrome, and these patients may be more likely to increase their exercise if appropriately counseled to improve their health.

Openalex Percentile: Top 35%
Body Composition Measurement Techniques
0.33
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.