Predictors of low physical fitness in a cohort of active-duty US Air Forcemembers

Citation
As. Robbins et al., Predictors of low physical fitness in a cohort of active-duty US Air Forcemembers, AM J PREV M, 20(2), 2001, pp. 90-96
Citations number
32
Categorie Soggetti
Envirnomentale Medicine & Public Health
Journal title
AMERICAN JOURNAL OF PREVENTIVE MEDICINE
ISSN journal
07493797 → ACNP
Volume
20
Issue
2
Year of publication
2001
Pages
90 - 96
Database
ISI
SICI code
0749-3797(200102)20:2<90:POLPFI>2.0.ZU;2-8
Abstract
Background: Each branch of the U.S. armed forces has standards for physical fitness as well as programs for ensuring compliance with these standards. In the U.S. Air Force (USAF), physical fitness is assessed using submaximal cycle ergometry to estimate maximal oxygen uptake (VO2max). The purpose of this study was to identify the independent effects of demographic and beha vioral factors on risk of failure to meet USAF fitness standards (hereafter called low fitness). Methods: A retrospective cohort study (N=38,837) was conducted using self-r eported health risk assessment data and cycle ergometry data from active-du ty Air Force (ADAF) members. Poisson regression techniques were used to est imate the associations between the factors studied and low fitness. Results: The factors studied had different effects depending on whether mem bers passed or failed fitness testing in the previous year. All predictors had weaker effects among those with previous failure. Among those with a pr evious pass, demographic groups at increased risk were toward the upper end of the ADAF age distribution, senior enlisted men, and blacks. Overweight/ obesity was the behavioral factor with the largest effect among men, with a erobic exercise frequency ranked second; among women, the order of these tw o factors was reversed. Cigarette smoking only had an adverse effect among men. For a hypothetical ADAF man who was sedentary, obese, and smoked, the results suggested that aggressive behavioral risk factor modification would produce a 77% relative decrease in risk of low fitness. Conclusions: Among ADAF members, both demographic and behavioral factors pl ay important roles in physical fitness. Behavioral risk factors are prevale nt and potentially modifiable. These data suggest that, depending on a memb er's risk factor profile, behavioral risk factor modification may produce i mpressive reductions in risk of low fitness among ADAF personnel.