Claudinei Ferreira dos Santos

Effects of concurrent training on interleukin-6, tumour necrosis factor-alpha and C-reactive protein in middle-aged men

Abstract The purpose of this study was to evaluate the effects of moderate- to high-intensity resistance and concurrent training on inflammatory biomarkers and functional capacity in sedentary middle-aged healthy men. Participants were selected on a random basis for resistance training (n = 12), concurrent training (n = 11) and a control group (n = 13). They performed three weekly sessions for 16 weeks (resistance training: 10 exercises with 3 × 8–10 repetition maximum; concurrent training: 6 exercises with 3 × 8–10 repetition maximum, followed by 30 minutes of walking or running at 55–85% [Vdot]O2peak). Maximal strength was tested in bench press and leg press. The peak oxygen uptake ([Vdot]O2peak) was measured by an incremental exercise test. Tumour necrosis factor-α, interleukin-6 and C-reactive protein were determined. The upper- and lower-body maximal strength increase for both resistance (+42.52%; +20.9%, respectively) and concurrent training (+28.35%; +21.5%, respectively) groups (P = 0.0001).[Vdot]O2peak increased in concurrent training when comparing pre- and post-training (P = 0.0001; +15.6%). No differences were found in tumour necrosis factor-α and interleukin-6 for both groups after the exercise. C-reactive protein increased in resistance training (P = 0.004). These findings demonstrated that 16 weeks of moderate- to high-intensity training could improve functional capacity, but did not decrease inflammatory biomarkers in middle-aged men.

Predictive equations overestimate the resting metabolic rate in postmenopausal women

The resting energetic dispenses on postmenopausal stage should be well known in order to elaborate obesity prevention programs.ObjectiveThe aim of this study was to compare the resting metabolic rate (RMR) measured by indirect calorimetry (RMRmeasured) with predictive equations (RMRestimated) and verify which preexisting equation is more indicated for this population, in inactive, postmenopausal women.Design43 postmenopausal women volunteered for the present study.MeasurementsRMRestimated value was achieved by indirect calorimetry. The predictive equations used were: Harris-Benedict equation (HB), Henry e Ree (HR), Mifflin-St Jeor equation (MSJ), World Health Organization equation (WHO) and Female Brazilian Population (FBP). Body composition was obtained through skinfolds method.ResultsAll equations showed significant difference values for kcal/day (p<0.00001) (HB 1313.07±73.46; HR 1310.95±81.41; MSJ 1207.93±93.17; WHO 1375.73±61.01 and FBP 1250.05±73.54 kcal/day) in relation to RMRestimated (1063.79±157.82). The WHO equation was the one which most overestimated the RMR values with a difference of more than 300kcal/day.ConclusionNone of the equations to approach, in this study showed precision in the estimative of RMR, all prediction equations overestimated RMR values in Brazilians’ postmenopausal women, although the MSJ predictive equation showed the greater approximation of RMRmeasured for this population.

Taxa metabólica de repouso e composição corporal em mulheres na pós-menopausa

OBJECTIVE The present study evaluated the relationship between resting metabolic rate (RMR) and body composition of postmenopausal women. METHODS Thirty physically inactive women participated in the study, and their age average was 54,33 +/- 5,20 years old. Oxygen consumption was measured by indirect calorimetry after 12 hours of fasting and the values were calculated according to the equation of Weir. Body composition was obtained by the method of skinfolds and the measurement of waist circumference (WC) was used to assess abdominal fat. The linear correlation of Pearson was used to establish correlations between the variables. RESULTS We found significant correlations of TMR with the CC (0.42) and the lean mass (LM) (r = 0.48). CONCLUSIONS The variables of body composition that can be involved in the determination of the RMR are LM and WC.