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. 2022 May 10;122(8):1863–1874. doi: 10.1007/s00421-022-04957-9

Table 2.

Simple linear regression analysis between changes in heart rate variability outcomes and changes in, body composition variables and cardiometabolic risk score

∆ heart rate (bpm) ∆ Ln SDNN (ms) ∆ Ln RMSSD (ms) ∆ Ln stress score (ms) ∆ Ln S/PS ratio
β R2 P β R2 P β R2 P β R2 P β R2 p
∆ BMI (kg/m2) − 0.025  < 0.001 0.844 − 0.006  < 0.001 0.961 0.101  < 0.001 0.419 0.051  < 0.001 0.686 − 0.030  < 0.001 0.809
∆ LMI (kg/m2) − 0.182 0.017 0.153 0.387 0.150 0.001 0.439 0.193  < 0.001 − 0.326 0.107 0.009 − 0.414 0.172  < 0.001
∆ FMI (kg/m2) 0.157 0.009 0.220 − 0.347 0.121 0.005 − 0.370 0.137 0.003 0.299 0.090 0.017 0.362 0.072 0.003
∆ VAT volume (cm3) 0.142 0.004 0.269 − 0.293 0.086 0.019 − 0.295 0.082 0.023 0.267 0.072 0.034 0.299 0.090 0.017
∆ Cardiometabolic Risk Score − 0.114  < 0.001 0.362 − 0.330 0.095 0.007 − 0.176 0.016 0.158 0.380 0.131 0.002 0.293 0.072 0.017

Bold values indicated P values of less than 0.05

∆ differences between post and pretest, β standardized regression coefficient, BMI body mass index, bpm beats per minute, cm centimeters, FMI fat mass index, kg kilograms, LMI lean mass index, Ln Napierian logarithm, m meters, p level of significance, R2 adjusted determination coefficient, RMSSD square root of the mean squared differences between successive RR intervals, SDNN standard deviation of RR intervals, S/PS sympathetic/parasympathetic ratio, VAT visceral adipose tissue