Abstract
LANGUAGE NOTE | Document text in English; abstract also in Chinese.
 The purpose of this study was to develop a regression equation to predict maximal oxygen consumption (VO2max) based on non-exercise (N-EX) data and to investigate the validity of these equations in healthy young men. One hundred healthy men (age: 18-26 years) were randomly separated in two equal groups (n=50). All participants, successfully completed a maximal graded exercise test (GXT) to assess VO2max (Mean = 45.56 ml × kg-1 × min-1, SD = 4.14). The N-EX data collected just before the maximal GXT including participants’ age; body mass index (BMI); perceived functional ability (PFA) to walk, jog, or run given distances; and current physical activity (PA-R) level. Methodological differences among these methods (new equation and GXT in the validation group) were analyzed with Bland-Altman (1986) method. A good correlation coefficients were observed between VO2max and body mass index (BMI) (r = -0.50), PFA (r = 0.71) and PA-R (r = 0.70) in the development group (p< 0.05). Multiple linear regression generated the following N-EX prediction equation: VO2max (ml × kg-1 × min-1) = 47.718 – (0.38516 × BMI) + (0.8541 × PA-R) + (0.2539 × PFA). When new VO2max prediction equation were applied to the validation group, high agreement were also observed between measured VO2max by GXT and predicted VO2max (mean±SD: 0.58±2.53) (p< 0.05). This study provided an N-EX regression model that yields relatively accurate results and it is a convenient way to predict VO2max in Azerbaijan–Iranian young men with a similar cardiorespiratory fitness level. Authors recommend further studies to elucidate generality of the new equation.
 本研究旨在計算預測年青人最大攝氧量的公式，邀請了100位健康男士，分成兩組進行測驗。結果顯示，推算最大攝氧量的公式如下: VO2max (ml × kg-1 × min-1) = 47.718 – (0.38516 × BMI) + (0.8541 × PA-R) + (0.2539 × PFA) 。
Highlights
Cardiorespiratory fitness (CRF) is the ability to perform dynamic, moderate-to-high intensity exercise with the large muscle groups for long periods of time (ACSM, 2000)
Correlations were observed between VO2max and body mass index (BMI) (r = -0.50), perceived functional ability (PFA) (r = 0.71) and PA-R (r = 0.70) in the development group (Table 2)
The N-EX model developed in this study presents excellent results and in the previously cited studies, the PFA data improved the ability of the N-EX regression models to accurately estimate VO2max (George et al, 1997), but, there are obvious limitations when using PFA data
Summary
Cardiorespiratory fitness (CRF) is the ability to perform dynamic, moderate-to-high intensity exercise with the large muscle groups for long periods of time (ACSM, 2000). Submaximal exercise is not accurate as maximal GXTs, but it is easier to perform, require less time and efforts to complete, and can be administered at lower costs and lower risk (Bradshaw et al, 2005) These tests use a variety of exercise modes including cycle ergometry, stepping and walking, jogging or running on a treadmill or track (ACSM, 2000; Donnelly et al, 1992; George et al, 1993; Oja et al, 1991). Non-exercise (N-EX) regression equations provided a convenient estimate of CRF without dependency to perform a maximal or submaximal exercise test (Davis et al, 2002; Larsen et al, 2002) This approach is inexpensive, time-efficient, and realistic for large groups. Same as all self-reported data, a given response to the PFA and PA-R questions may be influenced by a variety of social, cognitive, and psychological factors (George, Stone, & Burkett, 1997)
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