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Biomedical subjects

A M Batterham

Publications and source records attributed to A M Batterham.

16 recordsLinked to original sources

Characterising the individual performance responses to mild illness in international swimmers.

OBJECTIVES: To determine individual differences in the impact of illness on the change in performance of swimmers in international competitions. METHODS: Subjects were members of the Australian swimming team (33 male and 39 female, aged 15-27 years). Swimmers provided a weekly seven day recall of symptoms of illness during final six weeks of preparations for international competition over a three year period. Swimmers were categorised as either ill (one or more episodes of illness) or healthy. The measure of performances was the international point score. Mean changes in points score were calculated for healthy and ill swimmers between a national championship and an international competition ( approximately 16 weeks later). Likelihoods of substantial effects of illness on an individual's true change in performance (beneficial/trivial/harmful) were estimated from means and standard deviations, assuming a smallest substantial change of 6 points. RESULTS: Illness was reported before international performances by 38% of female and 35% of male swimmers. For female swimmers the change in performance was -3.7 (21.5) points (mean (SD)) with illness and -2.6 (19.0) points when healthy; for male swimmers the changes were -1.4 (17.5) points with illness and 5.6 (13.2) points when healthy. The likelihoods that illness had a substantial beneficial/trivial/harmful effect on performance of an individual swimmer were 32%/31%/37% for female and 17%/31%/52% for male participants (90% confidence limits approximately +/-10% to 20%). CONCLUSIONS: Although mild illness had only a trivial mean effect on female swimmers and a small harmful mean effect on male swimmers, there were substantial chances of benefit and harm for individuals.

Adolescent↗

Development and validation of a sport-specific exercise protocol for elite youth soccer players.

AIM: The aims of the current study were, firstly, to quantify the motion characteristics of professional youth soccer players and, secondly, to develop and validate a soccer-specific exercise protocol (SSEP). METHODS: The motion characteristics of 12 first team members and 12 scholars (under 19s), signed to an English Premiership club were determined via motion analysis. Motion profiles from the analysis were then used to develop a SSEP for a non-motorised treadmill. Validity of the protocol was checked with 6, healthy, male soccer players who completed the SSEP and, on a separate occasion, a soccer match. Heart rates were recorded during both trials, in addition, capillary blood and expired air samples were taken, and RPE recorded, during the SSEP. RESULTS: Youth team players covered 10274+/-609 m, compared to 9741+/-882 m by the first team players (t=1.72, p>0.05; 95% CI for the difference = -1174 m to 109 m). The trend for greater mean distance covered by youth players could be attributed to the distances covered while jogging and running. Mean heart rate response was 166+/-9 beatsxmin(-1) during match play and 166+/-12 beatsxmin(-1) during the SSEP (t=0.164, p>0.05). Mean .VO(2) during the SSEP was 70+/-3% of .VO(2max). Blood lactate concentration fell from a mean value of 5.37+/-1.15 mmol x L(-1) during the first half to 4.74+/-1.25 mmol x L(-1) during the 2(nd) half (t=2.52, p<0.05). CONCLUSION: The findings of this study suggest that the protocol developed induced a similar physiological load to soccer match play and provides the opportunity to study the physiological demands of soccer.

Adult↗

Prolonged stage duration during incremental cycle exercise: effects on the lactate threshold and onset of blood lactate accumulation.

The aim of this study was to investigate whether increasing the duration of workloads from 3 min to 8 min during incremental exercise would influence workload (W), oxygen consumption (VO2) and heart rate (HR) at the lactate threshold (LT) and the onset of blood lactate accumulation (OBLA). Two groups of six male cyclists were assigned to a well-trained (WT) and recreational (REC) group on the basis of their performance in a maximal incremental ramp test. Each subject then performed two incremental lactate tests (EXT) consisting of six workloads of either 3 min (EXT3-min) or 8 min (EXT8-min) duration. At the completion of each workload whole capillary blood samples were obtained for the determination of blood lactate (BLa) concentration (mM). Power output (Watts, W), HR and VO2 were averaged in the final minute of each workload as well as in the third minute of the EXT8-min. The workload, HR and VO2 at the LT and OBLA were subsequently determined from the data of EXT3-min and EXT8-min. The results demonstrate that workload and VO2, but not HR, at the LT and OBLA were higher in the WT cyclists. At the same time, the workload at the LT obtained from the results of the EXT3-min was significantly (P < 0.05) higher then the value obtained in the EXT8-min in the WT subjects but not the REC subjects. However, the workload, VO2 and HR at the OBLA, together with the VO2 and HR at the LT were not significantly different when calculated from data obtained from EXT3-min or EXT8-min. The data obtained in this study suggest that incremental exercise protocols using workloads of duration longer than 3 min have the effect of increasing the workload at the LT in well-trained cyclists. However, the OBLA determined in exercise tests using stage increments of either 3 min or 8 min is similar in cyclists of different training status.

Adaptation, Physiological↗

Peak power output, the lactate threshold, and time trial performance in cyclists.

PURPOSE: To determine the relationship between maximum workload (W(peak)), the workload at the onset of blood lactate accumulation (W(OBLA)), the lactate threshold (W(LTlog)) and the D(max) lactate threshold, and the average power output obtained during a 90-min (W(90-min)) and a 20-min (W(20-min)) time trial (TT) in a group of well-trained cyclists. METHODS: Nine male cyclists (.VO(2max) 62.7 +/- 0.8 mL.kg(-1).min(-1)) who were competing regularly in triathlon or cycle TT were recruited for the study. Each cyclist performed four tests on an SRM isokinetic cycle ergometer over a 2-wk period. The tests comprised 1) a continuous incremental ramp test for determination of maximal oxygen uptake (.VO(2max) (L.min(-1) and mL.kg(-1).min(-1)); 2) a continuous incremental lactate test to measure W(peak), W(OBLA), W(LTlog), and the D(max) lactate threshold; and 3) a 20-min TT and 4) a 90-min TT, both to determine the average power output (in watts). RESULTS: The average power output during the 90-min TT (W(90-min)) was significantly (P < 0.01) correlated with W(peak) (r = 0.91), W(LTlog) (r = 0.91), and the D(max) lactate threshold (r = 0.77, P < 0.05). In contrast, W(20-min) was significantly (P < 0.05) related to .VO(2max) (L.min(-1)) (r = 0.69) and W(LTlog) (r = 0.67). The D(max) lactate threshold was not significantly correlated to W(20-min) (r = 0.45). Furthermore, W(OBLA) was not correlated to W(90-min) (r = 0.54) or W(20-min) (r = 0.23). In addition, .VO(2max) (mL.kg(-1).min(-1)) was not significantly related to W(90-min) (r = 0.11) or W(20-min) (r = 0.47). CONCLUSION: The results of this study demonstrate that in subelite cyclists the relationship between maximum power output and the power output at the lactate threshold, obtained during an incremental exercise test, may change depending on the length of the TT that is completed.

Adult↗

Scaling cardiac structural data by body dimensions: a review of theory, practice, and problems.

Robust estimates of the "true" bivariate relationship between body size (X) and heart size (Y) have seldom been determined empirically. The removal of the covariate influence of body size from cardiac dimension variables facilitates both correct inter- or intra-group comparisons, and the construction of reference standards for normality. In the literature to date this "scaling" or normalisation of cardiac dimensions has been performed typically via a per-ratio standards method, (Y/X), with body surface area chosen as the size denominator. This review demonstrates that the per-ratio standards approach may be theoretically, mathematically, and empirically flawed. The most appropriate scaling procedure appears to be a curvilinear, allometric model of the general form Y = aXb. The cardiac dimension variable (Y) may be regressed upon the body size variable (X) to derive a power function ratio (Y/Xb) that is allegedly size-independent. The current consensus is that an estimate of fat-free mass (FFM) provides the most appropriate body size variable. In the scaling literature allometric modelling procedures have generally yielded FFM exponents (b) consistent with the theory of geometric similarity. We suggest that cardiac dimension data should be scaled by appropriate powers of FFM, derived from allometric modelling. However, despite the potential superiority of FFM as a scaling denominator, reference standards for normality based on FFM have not been developed or proposed. Future research should examine the robustness of the FFM-cardiac dimension relationship in large samples.

Body Constitution↗

Validation of the Wilks powerlifting formula.

PURPOSE: Because maximal strength varies with body mass, the International Powerlifting Federation (IPF) has adopted a method of adjusting powerlifting events (bench press, BP; squat, SQ; deadlift, DL, and total lift (the sum of BP, DL, and SQ), TOT) by body mass. This method, the Wilks formula, multiplies one's lift by an index based on body mass so that lifters of different size can be compared on the same event. The Wilks formula is not, however, based on published data and has yet to be critically evaluated. The purpose of this investigation, then, was to validate the Wilks formula. METHODS: This was performed by 1) examining residuals bias to verify that the adjusted score does, in fact, lead to no systematic bias based on body mass and 2) by applying a more theoretically supportable allometric model to the same data and comparing the fit with the Wilks approach. Subjects were the current men's and women's world record holders as well as the top two performers for each event in the IPF's 1996 and 1997 World Championships (a total of 30 men and 27 women for each lift). RESULTS: Results of data analysis regarding the Wilks formula indicate that: 1) there is no bias for men's or women's BP and TOT; 2) there is a favorable bias toward intermediate weight class lifters in the women's SQ with no bias for men's SQ; and 3) there is a linear unfavorable bias toward heavier men and women in the DL. Furthermore, the allometric approach indicated a bias against light and heavy men and women which may be considered acceptable given that half as many lifters are found in the lightest and heaviest weight classes as in the intermediate weight classes. CONCLUSION: As used currently (BP and TOT only), the Wilks formula appears to be a valid method to adjust powerlifting scores by body mass.

Body Weight↗

Modeling the influence of body size on V(O2) peak: effects of model choice and body composition.

This study examined the bivariate relationship between peak oxygen uptake (V(O2) peak); l/min) and body size in adult men (n = 1,314, age 17-66 yr), using both "simple" and "full" iterative nonlinear allometric models. The simple model was described by V(O2) peak = M(b) (or FFM(b)) exp(c SR-PA) exp(a + d age) epsilon (where M is body mass in kg; FFM is fat-free mass in kg; SR-PA is self-reported physical activity; epsilon is a multiplicative error term; and exp indicates natural antilogarithms). The full model was described by V(O2) peak = M(b) (or FFM(b)) exp(c SR-PA) exp(a + d age) + e (epsilon), where e is a permitted Y-intercept term. The M exponent obtained from simple allometry was 0.65 [95% confidence interval (CI), 0.59-0.71], suggestive of a curvilinear relationship constrained to pass through the origin. This "zero Y-intercept" assumption was examined via the full allometric model, which revealed an M exponent of 1.00 (95% CI, 0.7-1.31), together with a positive Y-intercept term (e) of 1.13 (95% CI, 0.54-1.73). The FFM exponents were not significantly different from unity in either the simple or full allometric models. It appears that the curvilinearity of the simple allometric model (using total M) is fictitious and is due to the inappropriate forcing of the regression line through the origin. Utilizing FFM as the body-size variable revealed a linear relationship between body size and V(O2) peak, irrespective of model choice. We conclude that the population mass exponent for V(O2) peak is close to unity.

Adolescent↗

Echocardiographic evidence of concentric left ventricular enlargement in female weight lifters.

In this study we investigated resting left ventricular structure and function in elite female weight-lifters. Fifteen National Squad members [mean age (SD) 25 (6) years] were compared to a recreationally active control group [n = 46, 23 (3) years]. Subjects were matched for body mass, body surface area and fat free mass, but the controls were slightly taller (P<0.01). Athletes and controls demonstrated similar resting heart rates and blood pressures. Septal wall (ST), posterior wall (PWT) and left ventricular internal dimension in diastole and systole (LVIDd and LVIDs, respectively) were measured from M-mode echocardiograms. Calculations were made for left ventricular mass (LVM), mass-volume ratio (m:V), wall-thickness-cavity dimension ratio (h:R) and systolic function. Left ventricular filling velocities were determined via Doppler echocardiography. ST [9.0 (1.1) v.s. 7.7 (1.0) mm] and PWT [8.7 (1.4) v.s. 7.5 (1.3) mm] were greater, whereas LVIDd [46.2 (2.8) v.s. 48.4 (3.4) mm] was smaller in the weight-lifters (P<0.05). After allometrically adjusting for differences in height, the weight-lifters had a greater ST, PWT and LVM (P<0.05) and similar LVIDd. Both m:V and h:R were increased in the weightlifters (P<0.05). All functional data were within normal limits and no group differences were observed. The female weight-lifters demonstrated a concentric left ventricular enlargement that was not detrimental to left ventricular performance at rest.

Adult↗

The impact of scalar variable and process on athlete-control comparisons of cardiac dimensions.

PURPOSE: This study compared linear left ventricular dimensions and mass (LVM), before and after normalizing for body dimensions via allometric and ratio-standard scaling. METHODS: Height (HT; m), body mass (BM; kg), body surface area (BSA; m2), and fat-free mass (FFM; kg) were measured in elite male weight lifters (N = 11) and age-matched controls (N = 45). Septum (ST), posterior wall (PWT), and internal dimension in diastole (LVIDd) were measured from M-mode echocardiographic traces and used to calculate LVM. Via multivariate allometric scaling, common group power function exponents were identified for all cardiac dimensions related to all body size scalars. t-tests were used to compare group differences in absolute and scaled data. RESULTS: BM, FFM, and BSA, as well as absolute LVM (262 +/- 54 vs 206 +/- 39) and ST (11 +/- 1 vs 9 +/- 1), were greater in the athletes (P < 0.05). All exponents conformed to dimensionality theory within 95% confidence limits. Fat-free mass presented the highest multiple R value and the least residual sum of squares of any scalar variable. If FFM was used to scale, no difference in LVM remained (P > 0.05). CONCLUSIONS: Data suggest that any group effect on cardiac dimensions is substantially altered by the scaling procedure. The choice of the most appropriate variable and process for partitioning out any effect of body dimensions on cardiac dimensions in similar studies requires attention.

Adult↗

Exercise training induced alterations in prepubertal children's lipid-lipoprotein profile.

PURPOSE: This study examined the effect of exercise training on prepubertal children's (ET, N = 28) lipid-lipoprotein profile, relative to a maturity matched control group (CON, N = 20). METHODS: Training for ET involved stationary cycling for 30 min, 3 times.wk-1 for 12 wk, at 79.3 +/- 1.2% (mean +/- SD) peak heart rate (HR). Controls maintained their usual lifestyle pattern. Plasma concentrations of total triacylglycerol (TG), total cholesterol (TC), and high-density lipoprotein (HDL)-cholesterol (HDL-C) were determined pre- and postintervention. Low-density lipoprotein (LDL)- cholesterol (LDL-C) was subsequently estimated from these concentrations, and the ratios TC/HDL-C and LDL-C/HDL-C were also calculated. There were no pretest differences (P > 0.05) for any of these blood analytes between groups. The following, potentially, confounding variables were also measured: peak VO2, percent body fat (%BF), dietary composition, and habitual physical activity. These variables, with pretest HDL-C, were included as covariates in two-way split plot ANCOVA analyses. Dietary variables were not included as covariates as they were not related to any of the blood analytes. RESULTS: There were no differences over time or between groups for TG and TC (P > 0.05). LDL-C decreased in ET (-10.2%) but remained unchanged in CON (0.3%) over the intervention period (P < 0.05). HDL-C increased in ET (9.3%) but decreased in CON (-8.9%) (P < 0.01). A similar, but inverted, pattern of change (P < 0.01) was revealed for both ratios, TC/HDL-C (-11.6% vs 6.3%, ET and CON, respectively), and LDL-C/HDL-C (-17.2% vs 8.0%, ET and CON, respectively). The favorable alterations in the lipid-lipoprotein profile for ET were independent of alterations in peak VO2 (group x time interaction, P < 0.05), %BF (main effect time, P < 0.01), and habitual physical activity (group x time interaction, P < 0.01). CONCLUSIONS: In conclusion, the favorable alterations in the lipoprotein profile seen in this study would suggest that it is possible to influence the prepubertal lipoprotein profile independent of alterations in confounding variables such as body composition, cardiorespiratory fitness, and habitual physical activity.

Adipose Tissue↗

Modeling the influence of body size and composition on M-mode echocardiographic dimensions.

The purpose of this study was to determine the optimal index for normalizing left ventricular (LV) echocardiographic dimensions for differences in body size. M-mode echocardiograms defined LV internal dimension at end diastole (LVIDD) and LV wall thickness (LVWT) in 107 adults (59 male, 48 female). Allometric relations were assessed between cardiac dimensions (Y) and body size variables (X) of fat-free mass (FFM), height (H), body surface area (BSA), and fat mass (FM). Further to confirmation of homogeneity of regression slopes, size exponents common to both genders were fitted by a log-linear model: ln Y = ln a + c.gender + b.ln X, where a is the proportionality coefficient, b is the size exponent, and c is the gender coefficient. For LVIDD, mean body size exponents (95% confidence interval) were FFM0.35 (0.22-0.47), H0.68 (0.32-1.03), and BSA0.44 (0.26-0.62). For LVWT, the derived exponents were FFM0.43 (0.20-0.65), H0.65 (0-1.3), and BSA0.56 (0.23-0.89). Body fatness (expressed by FM) had no influence on LV dimensions, with exponents not different from zero (P > 0.05). The root-mean-squares error from the separate regression models indicated that the FFM index was the optimal solution. Indexation of LV dimensions by H was associated with the greatest error. Because the 95% confidence interval for the FFM exponents included 0.33, we recommend that linear LV dimensions be indexed by the cube root of FFM. In the absence of FFM data, the root of BSA was found to be the best surrogate index.

Adipose Tissue↗

Allometric scaling of left ventricular mass by body dimensions in males and females.

Physiological variables must often be scaled for body size differences to permit meaningful comparisons between subjects or groups. This study aimed to determine the proper relationship between body dimensions and left ventricular mass (LVM) via allometric scaling (AS) in 142 subjects (78 males, 64 females; ages 18-40). A cubic formula was used to estimate LVM from wall thickness and left ventricular internal dimensions derived from M-mode echocardiography. Fat free mass (FFM) was predicted from anthropometry. "Best compromise" allometric equations (y = a.xb) revealed a common body mass (BM) exponent of 0.78 (95% CI, 0.65-0.91). The widely adopted ratio scaling (RS) method assumes that the exponent b = 1. In this sample, use of RS would penalize heavier subjects by overcorrecting for BM. The equivalent mean FFM exponent of 1.07 was not different from unity (95% CI, 0.92-1.22). Hence, RS using BM would appear to penalize those subjects who are heavier owing to excess fat not excess FFM. Gender differences in LVM were 70.44, and 18%, for absolute values per BM 0.78 and per FFM 1.07, respectively, (P < 0.05). This reveals quantitative differences in heart size independent of body dimensions. We conclude that sample specific AS permits meaningful intersubject or intergroup comparisons.

Adolescent↗

Nevill's explanation of Kleiber's 0.75 mass exponent: an artifact of collinearity problems in least squares models?

Intraspecific allometric modeling (Y = a.mass(b), where Y is the physiological dependent variable and a is the proportionality coefficient) of peak oxygen uptake (VO2peak) has frequently revealed a mass exponent (b) greater than that predicted from dimensionality theory, approximating Kleiber's 3/4 exponent for basal metabolic rate. Nevill (J. Appl. Physiol. 77: 2,870-2,873, 1994) proposed an explanation and a method that restores the inflated exponent to the anticipated 2/3. In human subjects, the method involves the addition of "stature" as a continuous predictor variable in a multiple log-linear aggression model: ln Y = a + c. ln stature + b. ln mass + ln epsilon, where c is the general body size exponent and epsilon is the error term. It is likely that serious collinearity confounds may adversely affect the reliability and validity of the model. The aim of this study was to critically examine Nevill's method in modeling VO2peak in prepubertal, teenage, and adult men. A mean exponent of 0.81 (95% confidence interval, 0.65-0.97) was found when scaling by mass alone. Nevill's method reduced the mean mass exponent to 0.67 (95% confidence interval, 0.44-0.9). However, variance inflation factors and tolerance for the log-transformed stature and mass variables exceeded published criteria for severe collinearity. Principal components analysis also diagnosed severe collinearity in two principal components, with condition indexes > 30 and variance decomposition proportions exceeding 50% for two regression coefficients. The derived exponents may thus be numerically inaccurate and unstable. In conclusion, the restoration of the mean mass exponent to the anticipated 2/3 may be a fortuitous statistical artifact.

Adolescent↗

Allometric modeling does not determine a dimensionless power function ratio for maximal muscular function.

In the exercise sciences, simple allometry (y = axb) is rapidly becoming the method of choice for scaling physiological and human performance data for differences in body size. The purpose of this study is to detail the specific regression diagnostics required to validate such models. The sum (T, in kg) of the "snatch" and "clean-and-jerk" lifts of the medalists from the 1995 Men's and Women's World Weightlifting Championships was modeled as a function of body mass (M, in kg). A log-linearized allometric model (ln T = ln a + b ln M) yielded a common mass exponent (b) of 0. 47 (95% confidence interval = 0.43-0.51, P < 0.01). However, size-related patterned deviations in the residuals were evident, indicating that the allometric model was poorly specified and that the mass exponent was not size independent. Model respecification revealed that second-order polynomials provided the best fit, supporting previous modeling of weightlifting data (R. G. Sinclair. Can. J. Appl. Sport Sci. 10: 94-98, 1985). The model parameters (means +/- SE) were T = (21.48 +/- 16.55) + (6.119 +/- 0.359)M - (0. 022 +/- 0.002)M2 (R2 = 0.97) for men and T = (-20.73 +/- 24.14) + (5. 662 +/- 0.722)M - (0.031 +/- 0.005)M2 (R2 = 0.92) for women. We conclude that allometric scaling should be applied only when all underlying model assumptions have been rigorously evaluated.

Adult↗

Allometry of anaerobic performance: a gender comparison.

Physiological variables must often be scaled for body size differences to permit meaningful comparisons between groups. Using multivariate allometric scaling (MAS), this study aimed to compare the anaerobic performance of adult males and females in 12 pairs matched for physical activity status. Peak power output (PPO) was assessed via a 30-s supramaximal cycle ergometer test. Fat-free mass (FFM) and thigh muscle and bone cross-sectional area (CSA) were determined anthropometrically and served as indicators of active musculature. The MAS revealed power functions of the form PPO = a.gender.FFMb (or CSAb). Common b exponents of 0.1 were identified for both FFM and CSA (negative allometry). Sex differences were found in absolute PPO (1,252 vs. 681 W, p < .05). Comparison of scaled PPO data via ANCOVA (FFM0.1 and CSA0.1 entered as covariates) did not eliminate the sex difference (adjusted means 1,243 vs. 690 W, p < .05). The results suggest that the superior anaerobic performance of males in this sample is independent of size of the involved musculature.

Adipose Tissue↗