Comparison of objective methods for determining ventilatory threshold.

Fukuba, Yoshiyuki; Munaka, Masaki; Usui, Sachio; Sasahara, Hideo

doi:10.2170/jjphysiol.38.133

Cited by 15 publications

(8 citation statements)

References 32 publications

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“…Furthermore, the developed method detected changes in VAT after cardiac rehabilitation, as well as vVAT did. There have been many attempts to objectively determine VAT using mathematical or computer algorithms [14–24]. Seven studies used breakpoint detection with two or more linear functions, three used polynomial functions [16, 17], one used a computerized cumulative sum method to detect a change in the data trend [23], and only one used an exponential model [15].…”

Section: Discussionmentioning

confidence: 99%

New method for the mathematical derivation of the ventilatory anaerobic threshold: a retrospective study

Nishijima

Kominami

Kondo

et al. 2019

BMC Sports Sci Med Rehabil

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Background Ventilatory anaerobic threshold (VAT) is a useful submaximal measure of exercise tolerance; however, it must be visually determined. We developed a new mathematical method to objectively determine VAT. Methods We employed two retrospective population data sets (A/B). Data A (from 128 healthy subjects, patients with cardiovascular risk factors, and cardiac subjects at institution A, who underwent symptom-limited cardiopulmonary exercise testing) were used to develop the method. Data B (from 163 cardiac patients at institution B, who underwent pre−/post-rehabilitation submaximal exercise testing) were used to apply the developed method. VAT (by V-slope) was visually determined (vVAT), assuming that the pre-VAT segment is parallel to the respiratory exchange ratio (R) = 1 line. Results First, from data A, exponential fitting of ramp V-slope data yielded the equation y = ba x , where a is the slope of the exponential function: a smaller value signified a less steep curve, representing less VCO 2 against VO 2 . Next, a tangential line parallel to R = 1 was drawn. The x-axis value of the contact point was the derived VAT, termed the expVAT (VCO 2 ) (calculated as LN (1/[ b *LN( a )]/LN( a ). This point represents an instantaneous ΔVCO 2 /ΔVO 2 of 1.0. Second, in a similar way, the relation of VO2 vs. VE (minute ventilation) was fitted exponentially. The tangent line that crosses zero was drawn and the x-axis value was termed expVAT (VE) (calculated as 1/LN( a ). For data A, the correlation coefficients (r) of vVAT versus VAT (CO 2 ), and VAT (VE) were 0.924 and 0.903, respectively ( p < 0.001), with no significant difference between mean values with the limits of agreement (1.96*SD of the pair difference) being ±276 and ± 278 mL/min, respectively. expVAT (VCO 2 ) and expVAT (VE) significantly correlated with VO 2 peak ( r = 0.971, r = 0.935, p < 0.001). For data B, after cardiac rehabilitation, expVAT (CO 2 ) and exp. (VE) (mL/min) increased from 641 ± 185 to 685 ± 201 and from 696 ± 182 to 727 ± 209, respectively ( p < 0.001, p < 0.008), while vVAT increased from 673 ± 191 to 734 ± 226 ( p < 0.001). During submaximal testing, expVAT (VCO 2 ) underestimated VAT, whereas expVAT (VE) did not. Conclusions Two new mathematically-derived estimates to determine...

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Section: Discussionmentioning

confidence: 99%

New method for the mathematical derivation of the ventilatory anaerobic threshold: a retrospective study

Nishijima

Kominami

Kondo

et al. 2019

BMC Sports Sci Med Rehabil

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“…The structure of a visual model can be easily understood without a knowledge of mathematics. It might be better to set up a limit for data, if the number of data is small and the variance is large [22]. Life-spans were the suitable upper limit that reduced variances of ÿrst and second lines to a minimum.…”

Section: Discussionmentioning

confidence: 99%

A three‐dimensional model for the tooth‐loss patterns by multi‐plane regression analysis

Sasahara

Kawamura

2002

Statistics in Medicine

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The construction of dental condition models is one of the useful methods for analysis of epidemiological surveys. The purpose of this investigation was to make a simple model with clear turning points for the longitudinal tooth-loss patterns of Japanese adults by means of multi-plane regression analysis. Since 1957, the Japanese Ministry of Health and Welfare has carried out national surveys of dental conditions every six years. The data of present tooth numbers by age (24-79 years) and sex from these surveys were used for this study. When there are turning points between two variables, intersecting straight lines regression is a valid means. However, a new method was developed so that the data of this study had three variables. The new three-dimensional model by multi-plane regression analysis seemed to fit tooth-loss patterns of Japanese adults within three phases. Younger subjects are represented in the first phase followed by the third phase of elders, where tooth loss was rather slow. However, in the second phase, middle-aged subjects, people lost their teeth rapidly. Thus, prolongation of the first phase could be an important factor to improve overall dental health.

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“…The stationary gas analysis is proved to be accurate for measurement over a wide range of exercise levels and evaluate parameters like the energetic cost of exercise (Mookerjee et al, 2005), the slow component of VO2 (Demarie et al, 2001), the VO2 efficiency (Baba et al, 1996) and the ventilatory threshold (Fukuba et al, 1988).…”

Section: Laboratory-based Tests Assessing Aerobic Powermentioning

confidence: 99%

Laboratory-based tests for swimmers: methodology, reliability, considerations and relationship with front-crawl performance

Dalamitros¹,

Manou²,

Pelarigo³

2014

JHSE

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Dalamitros, A.A., Manou, V., & Pelarigo, J.G. (2014). Laboratory-based tests for swimmers: methodology, reliability, considerations and relationship with front-crawl performance. J. Hum. Sport Exerc., 9(1), pp.172-187. Monitoring training process in swimming is essential for providing valuable information for both coaches and athletes. Among a large variety of laboratory-based tests used for the quantification of swimmers abilities and evaluation of fitness status, the most representative and easy to apply ones are chosen to be presented in this review. Furthermore, these tests reliability, methodology, referred considerations and relationship with front-crawl swimming performance are reported. Based on the previous mentioned criteria, the assessment of aerobic, anaerobic power and muscular strength, are analyzed. From the data examined, it is concluded that despite their reliability and efficacy in determining adaptations after a training period, as well as, detecting differences between athletes' training status, laboratory-based tests assessing aerobic, anaerobic power and muscular strength for swimmers does not meet the criterion of specificity and disregard the crucial role of technique.

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Comparison of objective methods for determining ventilatory threshold.

Cited by 15 publications

References 32 publications

New method for the mathematical derivation of the ventilatory anaerobic threshold: a retrospective study

New method for the mathematical derivation of the ventilatory anaerobic threshold: a retrospective study

A three‐dimensional model for the tooth‐loss patterns by multi‐plane regression analysis

Laboratory-based tests for swimmers: methodology, reliability, considerations and relationship with front-crawl performance

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