Explained variance (r²) within (above diagonal) and between (below diagonal) individual wrist accelerometer data for all combinations of data processing metrics.

<p>[ω₀: cut-off for frequency filter].</p

Average (mg) and relative (%) acceleration of the base of joint 5 (should ideally be zero) by experimental condition and metric.

<p>Relative values are expressed as percentage of average metric output for all accelerometers attached to the bar as fixed to the flange.</p

Explained variance (r²) within (above diagonal) and between (below diagonal) individual hip accelerometer data for all combinations of data processing metrics.

<p>[ω₀: cut-off for frequency filter].</p

Robot conditions and corresponding reference acceleration (mg), where A = amplitude of angle.

<p>Robot conditions and corresponding reference acceleration (mg), where A = amplitude of angle.</p

Overview of regression models for predicting PAEE (MJ day⁻¹) based on N = 63 women.

<p>[SE: Residual standard error;</p>**<p>: p<.001;</p>*<p>: p<.01; ω₀: cut-off for frequency filter; BW = body weight (kg)].</p

Experimental conditions of the robot setup.

<p>[*for 0° the bar is in horizontal position and for 90° the bar is pointing upwards relative to the axis of rotation].</p

Robot joint angle and horizontal acceleration for condition: 1 Hz, amplitude 45°, radius = 0.5 m.

<p>Robot joint angle and horizontal acceleration for condition: 1 Hz, amplitude 45°, radius = 0.5 m.</p

Nominally significant SNPs from the longitudinal models in the GLACIER Study (N = 3,495 for ΔTC; N = 2,211 for ΔTG).

<p>95% CI–95% confidence interval; β - beta coefficient; ΔTC - total cholesterol change; ΔTG - triglyceride change; EA - effect allele; EAF - effect allele frequency; FDR - false discovery rate; SE - standard error; SNP - single nucleotide polymorphism</p><p><i>P</i> values are based on linear regression models. SNP associations were tested by fitting the previously associated individual variants (additive model) as the independent variables with lipid trait changes as dependent variables. We adjusted the raw <i>P</i> values for multiple-testing using Benjamini-Hochberg's FDR.</p

Longitudinal characteristics of the MDC Study participants (N = 2,943).

<p>BMI - body mass index; HDL-C - high density lipoprotein cholesterol; IQR - interquartile range; LDL-C - low density lipoprotein cholesterol; SD - standard deviation; TC - total cholesterol; TG - triglyceride.</p><p>*Only median is reported for TG, as the trait's distribution is not Gaussian.</p

Pairwise differences between ROC AUC curves and classification statistics in relation to hyperlipidemia in GLACIER (N = 1,257 for TC; N = 1,660 for TG).

<p>NPV - negative predictive value; PPV - positive predictive value; ROC AUC - receiver operating characteristics area under the curve; TC - total cholesterol; TG - triglyceride.</p><p><i>P</i> values are calculated by a chi squared test comparing two ROC AUC curves.</p><p>Model 1  =  age,age²;sex,BMI; Model 2 =  Model 1+ trait specific GRS; Model 3 =  Model 1+ traditional risk factors (cholesterol intake, trans fat intake, saturated fat intake, carbohydrate intake, alcohol intake, physical activity); Model 4 =  Model 1+ trait specific GRS + traditional risk factors.</p