Polynomial modeling for the identification of lactate minimum velocity by different methods.

AIM: The lactate minimum (LM) protocol has been used to assess aerobic fitness and to predict exercise intensity associated with the maximal blood lactate steady state. The aim of this study was to compare different methods to identify the lactate minimum velocity (LMV) on cycling. METHODS: Fourteen male cyclists (26.8+/-4.5 years; 173.2+/-6.1 cm; 67.3+/-5.2 kg; 5,8+/-2.9 years of training) performed the LM test in a velodrome. The protocol consisted of an all out 2 km time trial to elevate blood lactate (bLAC), followed by 8 min of recovery and then 6 bouts of 2 km starting 5 kmxh(-1) below the individual mean velocity for the 6 km performance. The velocity was incremented by 1 kmxh(-1) at each bout with 25 microL of capillary blood being collected for bLAC measurements (YSI 2700 STAT). The LMV was identified visually (vLMV), and by applying a second grade polynomial function on 6 (pLMV(6)) and 3 (pLMV(3)) incremental bouts. Additionally, a method where the bLACx work velocity(-1) quotients (LMVQ) were plotted against the correspondent velocity during the incremental test, identified the LMV by considering 6 (LMVQ(6)) or 3 bouts (LMVQ(3)). RESULTS: ANOVA showed no differences between vLMV (33.1+/-2.5 kmxh(-1)), pLMV(6) (32.9+/-2.5 kmxh(-1)), pLMV(3) (33.2+/-2.3 kmxh(-1)), LMVQ(6) (32.8+/-2.5 kmxh(-1)) and LMVQ(3) (33.4+/-2.3 kmxh(-1)), with high correlation among them. CONCLUSIONS: It was possible to identify the LMV by the methods proposed in the present study, even when the results of only 3 bouts of the test were modeled by polynomial function. Such an approach enables a more practical and economical test in addition to minimizing the discomfort due to several blood collections.

Identificação do limiar anaeróbio em indivíduos com diabetes tipo-2 sedentários e fisicamente ativos / Identification of the anaerobic threshold in sedentary and physically active individuals with type 2 diabetes

OBJETIVO: Comparar intensidades de limiar anaeróbio (LA) obtidas a partir do lactato, ventilação e glicemia em diabéticos tipo-2 ativos (DA) e sedentários (DS) e não-diabéticos ativos (NDA), e correlacionar variáveis metabólicas, hemodinâmicas e de composição corporal com o LA. METODOLOGIA: Grupos de DS (n= 09, 56,7 ± 11,9 anos), DA (n= 09, 50,6 ± 12,7 anos) e NDA (n= 10, 48,1 ± 10,8 anos) foram submetidos a um teste em cicloergômetro com incrementos de 15W até a exaustão. Freqüência cardíaca, pressão arterial (PA), percepção de esforço, lactato, glicemia e variáveis ventilatórias foram mensuradas nos 20seg finais de cada estágio de 3min para determinação dos limiares de lactato, ventilatório e glicêmico. RESULTADOS: As intensidades associadas ao LA identificado pelos diferentes métodos não diferiram entre si (p> 0,05). As intensidades absolutas foram menores para o grupo DS em relação aos grupos ativos (p< 0,05), não sendo observadas diferenças entre os grupos para as intensidades relativas ao consumo máximo de oxigênio ( por centoVO2 pico) e potência máxima ( por centoPpico) de ocorrência do LA. Observou-se correlação significativa entre LA e o percentual de gordura (r= -0,52), com tendência à correlação entre o LA e a glicemia ambulatorial (r= -0,33). Variáveis hemodinâmicas e LA não demonstraram correlações. CONCLUSÃO: O LA foi identificado a partir das técnicas estudadas em diabéticos tipo-2 e não-diabéticos. Apesar das diferenças entre grupos para as intensidades absolutas (Watts), a patologia pareceu não influenciar as intensidades relativas em que o LA foi observado. O LA apresentou correlação com a composição corporal e tendência a se correlacionar com a glicemia ambulatorial, sugerindo-se, com isso, o LA como um parâmetro importante na avaliação clínica destes pacientes.

OBJECTIVE: To compare anaerobic threshold (AT) intensities determined from blood lactate, blood glucose and ventilatory responses among sedentary (SD) and physically active (AD) type-2 diabetics and active non-diabetics (AND), and to correlate metabolic, hemodynamic and body composition variables with the AT. METHOD: The SD (n= 9, 56.7 ± 11.9 years), AD (n= 9, 50.6 ± 12.7 years) and AND (n= 10, 48.1 ± 10.8 years) groups performed a cycle ergometer test with increases of 15 watts every three minutes until exhaustion. Heart rate, arterial pressure, perceived exertion, blood lactate, blood glucose and ventilatory variables were measured during the last 20 seconds of each incremental stage, to determine the lactate, ventilatory and glucose thresholds. RESULTS: The AT intensities identified by the different methods did not differ from each other (p> 0.05). However, the absolute intensities were lower for SD than for the active groups (p< 0.05). No differences in intensity were found between the groups in relation to maximum oxygen consumption ( percentVO2 peak) and maximum power ( percentPpeak) at which the AT was observed. There was a significant correlation between AT and percentage fat (r= -0.52), and there was a trend towards correlation between AT and ambulatory blood glucose (r= -0.33). The hemodynamic variables did not show any correlations with AT. CONCLUSION: The AT was identified by means of the techniques studied, among type 2 diabetics and non-diabetics. Despite the differences between the groups with regard to absolute intensities (watts), diabetes did not appear to influence the relative intensities at which the AT was observed. The AT presented a correlation with body composition and a trend towards correlation with ambulatory blood glucose, thus suggesting that the AT is an important parameter in clinical assessments for such patients.