Abstract 4140399: The Importance of Measuring Body Composition in Determining Cardiorespiratory Fitness Across the Adult Age Range

Background: Maintaining cardiorespiratory fitness (CRF) is essential for healthy aging and is linked to lower risk of age-related cardiovascular diseases and frailty. However, the relations of body composition metrics and CRF levels across the adult age range are poorly understood. Hypothesis: Healthy body composition, characterized by higher lean mass and lower visceral and total adiposity, is associated with greater oxygen (O 2 ) uptake during exercise across age and sex. Aims: To investigate relations of components of body composition with O 2 uptake measures during exercise and to evaluate how age and sex affect the associations. Methods: Framingham Heart Study participants (n=2742) underwent dual-energy X-ray absorptiometry (DXA) for body composition assessment and maximal cardiopulmonary exercise testing on a cycle ergometer at the same exam cycle. Sex-stratified linear models between DXA and O 2 uptake measures were adjusted for age, height, HDL/total cholesterol, smoking, systolic blood pressure, hypertension treatment, diabetes, and physical activity index. Results: The study sample had a mean age of 54±9 years, was 54% women, 9% non-white, and had a peak O 2 uptake [VO 2 ] 95±20% of predicted. Higher lean mass was associated with higher peak VO 2 in ml/min in both men and women (β for standard deviation (SD) difference in log-transformed peak VO 2 for a 1-SD higher value of lean mass was 0.49 in men and 0.57 in women, P<0.0001 for both). Conversely, measures of total and visceral fat mass were associated with higher peak VO 2 in women (β= 0.14-0.15, P<0.0001) but not in men (P>0.05). The variance explained (adjusted R 2 ) in peak VO 2 was higher for lean mass than other DXA measures: lean mass, age, and height explained 45-47% of the variance in peak VO 2 in men and women, while age, height, and other DXA measures explained ≤37%. Furthermore, individuals with higher observed lean mass than predicted based on age, sex, and BMI had higher observed peak VO 2 , consistent with the finding that higher lean mass is associated with higher peak VO 2 across age and sex (Figure). Conclusion: Maintaining lean mass across the adult age range is linked with higher peak VO 2 , which may have important implications for promoting healthy aging.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2024-11-12
DOI
https://doi.org/10.1161/circ.150.suppl_1.4140399
Primary Topic
Cardiovascular Disease and Adiposity
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4140399: The Importance of Measuring Body Composition in Determining Cardiorespiratory Fitness Across the Adult Age Range

Douglas P. Kiel, Ravi V. Shah, Matthew Nayor, Shivani Sahni et al.
Circulation
Cardiovascular Disease and Adiposity
article

Abstract 4140399: The Importance of Measuring Body Composition in Determining Cardiorespiratory Fitness Across the Adult Age Range

Douglas P. Kiel, Ravi V. Shah, Matthew Nayor, Shivani Sahni, Sandhiya Ravichandran, Priya Gajjar, Gregory D. Lewis
article en

Abstract

Background: Maintaining cardiorespiratory fitness (CRF) is essential for healthy aging and is linked to lower risk of age-related cardiovascular diseases and frailty. However, the relations of body composition metrics and CRF levels across the adult age range are poorly understood. Hypothesis: Healthy body composition, characterized by higher lean mass and lower visceral and total adiposity, is associated with greater oxygen (O 2 ) uptake during exercise across age and sex. Aims: To investigate relations of components of body composition with O 2 uptake measures during exercise and to evaluate how age and sex affect the associations. Methods: Framingham Heart Study participants (n=2742) underwent dual-energy X-ray absorptiometry (DXA) for body composition assessment and maximal cardiopulmonary exercise testing on a cycle ergometer at the same exam cycle. Sex-stratified linear models between DXA and O 2 uptake measures were adjusted for age, height, HDL/total cholesterol, smoking, systolic blood pressure, hypertension treatment, diabetes, and physical activity index. Results: The study sample had a mean age of 54±9 years, was 54% women, 9% non-white, and had a peak O 2 uptake [VO 2 ] 95±20% of predicted. Higher lean mass was associated with higher peak VO 2 in ml/min in both men and women (β for standard deviation (SD) difference in log-transformed peak VO 2 for a 1-SD higher value of lean mass was 0.49 in men and 0.57 in women, P<0.0001 for both). Conversely, measures of total and visceral fat mass were associated with higher peak VO 2 in women (β= 0.14-0.15, P<0.0001) but not in men (P>0.05). The variance explained (adjusted R 2 ) in peak VO 2 was higher for lean mass than other DXA measures: lean mass, age, and height explained 45-47% of the variance in peak VO 2 in men and women, while age, height, and other DXA measures explained ≤37%. Furthermore, individuals with higher observed lean mass than predicted based on age, sex, and BMI had higher observed peak VO 2 , consistent with the finding that higher lean mass is associated with higher peak VO 2 across age and sex (Figure). Conclusion: Maintaining lean mass across the adult age range is linked with higher peak VO 2 , which may have important implications for promoting healthy aging.

CirculationVol. 150(Suppl_1)
Boston University (US), Massachusetts General Hospital (US), Hebrew SeniorLife (US), Vanderbilt University Medical Center (US)
Good health and well-being
Openalex Percentile: Top 62%
Cardiovascular Disease and Adiposity
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.