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Although one previous study found an association between subjectively graded quantities of abdominal fat and effective dose [9], we found no study that has investigated the in-vivo relationship between multiple abdominal body composition variables and radiation dose during CT with ATCM.
Additionally, the study fairly exhaustively examines health related fitness, including body composition variables and at-rest blood pressures.
Height and weight were included in an initial step, with abdominal curls, basketball throw, jump, back muscle endurance, PWC170, hand strength and shoulder stretch included in a second step, along with one of the body composition variables and either the NDI score or the 4 motor competence factor scores.
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Each body composition variable and CVD risk factor was examined in a different regression model.
Spearman's correlation test was used to investigate the presence of a correlation between each HRV component as assessed in the supine position and obesity indices (anthropometric and body composition variables), blood pressure, and age.
ANOVA was used to compare unadjusted insulin sensitivity, fat distribution, and body composition variables by sex and ethnicity.
Multiple regression models were fitted to investigate the influence of anthropometric and body composition variables, blood pressure, and age (independent variables) on each HRV component as assessed in the supine position (dependent variables).
For secondary outcome variables, changes in the anthropometric measurements, body composition variables, PA profile and dietary, psychological and biological variables will be analysed by the absolute and relative variations of each of these endpoints between randomisation (initial assessment at T1) and follow-up assessments (T2 T4).
Secondary outcomes include body composition variables (adipose tissue distribution and lean mass distribution) and cardiorespiratory fitness (VO2peak).
aEstimates from two linear mixed-effects models including clinic as a random effect and anthropometric and body composition variables, race, education (attended college), smoking status, duration of hormone use, parity, and BMI z-score at 8 to 10 years old as fixed effects.
The correlation coefficients of the postural sway and the anthropometric and body composition variables according to visual conditions are presented in Tables 2 and 3.
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