There is evidence to suggest that aerobic fitness levels among adults have declined markedly over the past 2 to 3 decades. Submaximal field measures of aerobic fitness, such as step tests, may now be seen as aversive by contemporary neophyte exercisers. In this study, a single-factor within-subjects (repeated measures) factorial design was used to compare three field measures of cardiorespiratory fitness among sedentary women: (a) the Queen's College step test (QCST), (b) the Rockport 1-mile walk (RW), and (c) a nonexercise estimation of VO(2) max (NE). The sample consisted of 31 racially and ethnically diverse female college students (mean age of 24.8 years). No significant within-subjects differences were found in the three measures of V0(2) max (F = 1.89, p = .17) among Black, Hispanic, White non-Hispanic, or Asian women, but relative perceived exertion scores were significantly higher for the QCST than for the RW (t = 9.79, p < .001) for all groups. The mean calculated VO(2) max for the QCST was 35.90 ml/kg/min for the subset of women ages 18 to 25 and 31.85 for those ages 26 to 46. These values represent a "poor" to "below average" score for aerobic capacity among women in both age groups. Data from this preliminary study suggest that both the RW test and the NE test are comparable to the QCST as valid and reliable field measures of aerobic fitness and appear to be good alternatives to step testing among sedentary individuals.
Accurate assessment of body composition is essential in the evaluation of obesity. While laboratory methods are commonly used to assess fat mass, field measures (e.g., skinfold thickness [SKF] and bioelectrical impedance [BIA]) may be more practical for screening large numbers of individuals in intervention studies. In this study, a correlational design was used among 46 racially and ethnically diverse, sedentary women (mean age = 25.73 years) to (a) compare the percentage of body fat as determined by SKF and the upper body BIA and (b) examine the effects of body mass index (BMI), racial/ethnic background, age, and stage of the menstrual cycle on differences in the estimated percentage of body fat obtained using the SKF and BIA. Overall, a significant correlation between SKF and BIA (r = .98, p < .001) was found, with similar findings among Black, Hispanic and White non-Hispanic women. The mean differences between BIA and SKF were not significantly correlated with BMI, age, race/ethnicity or stage of the menstrual cycle. Data from this study suggest that BIA showed similar body fat prediction values compared with SKF and may be a viable alternative to SKF among diverse groups of healthy women. Additional testing and comparison of these field methods with the laboratory methods of hydro-densitometry or dual energy X-ray absorptiometry is recommended to further determine whether BIA devices can be routinely recommended as an alternative to the SKF.
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