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. 2013 Feb 18;8(2):e57101. doi: 10.1371/journal.pone.0057101

Table 5. Associations between physical activity subcomponents and cardiometabolic risk factors in girls according to different published thresholds for the RT3 triaxial accelerometer.

Risk factor
zBMI zWC Body fat% CRF Systolic BP Diastolic BP TC:HDL ratio Triglycerides Blood glucose
β p β p β p β p β p β p β p β p β p
Rowlands [11]
SED −.229 .161 −.313 .054 −.178 .267 .148 .327 −.236 .148 −.242 .146 −.044 .795 −.060 .718 −.086 .592
LPA .212 .163 .249 .096 .303 .044 .324 .023 −.172 .256 .159 .300 .182 .247 .017 .911 −.276 .069
MPA −.112 .595 −.110 .593 −.301 .148 .149 .443 −.058 .780 −.255 .233 −.150 .492 .120 .574 .020 .924
VPA −.076 .664 −.125 .469 −.027 .877 .416 .012 .093 .593 −.102 .567 −.029 .873 .133 .456 .201 .250
Vanhelst [12]
SED −.262 .153 −.327 .075 −.233 .199 .184 .272 −.162 .360 −.179 .335 −.109 .554 −.032 .862 −.007 .969
LPA −.014 .924 −.057 .693 .055 .703 −.159 .237 .298 .039 −.084 .572 .105 .479 −.031 .831 .283 .046
MPA −.027 .881 −.004 .984 −.212 .238 .174 .296 .032 .855 −.156 .400 −.118 .520 .086 .635 .044 .800
VPA −.093 .552 −.159 .309 −.039 .801 .352 .016 .037 .808 −.074 .641 −.105 .504 .203 .196 .217 .149
Chu [10]
SED −.203 .167 −.274 .058 −.154 .284 −.078 .568 −.258 .077 −.239 .094 −.002 .990 −.229 .126 −.144 .320
LPA .268 .150 .346 .059 .283 .123 .463 .010 −.048 .794 .264 .145 .049 .797 .144 .446 −.212 .250
MPA −.227 .285 −.282 .175 .436 .039 .446 .028 −.029 .888 .529 .012 −.021 .921 −.145 .503 −.002 .993
VPA −.015 .941 −.097 .621 .097 .623 .186 .327 .041 .835 .094 .628 −.188 .363 .142 .488 .344 .089

zBMI, BMI z-score; zWC, waist circumference z-score; CRF, cardiorespiratory fitness; BP, blood pressure; TC, total cholesterol; HDL, high-density lipoprotein cholesterol; SED, sedentary time; LPA, light physical activity; MPA, moderate physical activity; VPA, vigorous physical activity; significant associations highlighted in bold.