Participants characteristics (n = 26).

<p>Participants characteristics (n = 26).</p

Associations between exposure environments and psycho-physiological indicators.

<p>Associations between exposure environments and psycho-physiological indicators.</p

Generic flow graph of sampling days.

<p>T0 for Time 0 (participants arrival), T1 for Time 1 (start laboratory measurements), T2 for Time 2 (transport to environment), T3 for Time 3 (initial measurements in the environment), T4 for Time 4 (first exposure, 30 minutes exposure), T5 for Time 5 (measurements after 30 minutes exposure), T6 for Time 6 (second exposure, 180 minutes exposure), T7 for Time 7 (measurements after 180 minutes exposure), T8 for Time 8 (transport to laboratory), T9 for Time 9 (end laboratory measurements).</p

The effects of mediators on the relationship between exposure environment and mood and autonomous nervous system.

<p>The effects of mediators on the relationship between exposure environment and mood and autonomous nervous system.</p

Bland-Altman plots comparing MVPA, moderate and vigorous energy expenditure (METminutes/week) and SB (minutes/day) measured by the SenseWear armband (SW) and the GPAQ.

<p>All percentage differences on the Y-axis are calculated by subtracting GPAQ from SenseWear results divided by their average. Moderate- and vigorous-intensity activities included influential observation. The red, dashed lines represent the mean difference and 95% limits of agreement excluding these observations. EE = energy expenditure.</p

Mixed effect regression models used to analyse (1) the change in difference between GPAQ and SenseWear measurements; (2) the effect of personal attributes on the difference between both methods.

<p>Mixed effect regression models used to analyse (1) the change in difference between GPAQ and SenseWear measurements; (2) the effect of personal attributes on the difference between both methods.</p

β₁-coefficients of the attribute models to indicate the effect of sex, age, BMI, body fat and PA domain on the absolute and percentage difference (Δ) between measured (SenseWear) and reported (GPAQ) METminutes/week, minutes PA/day and sedentary minutes/day.

<p>The difference between both methods is used as the dependent variable. Absolute differences were calculated as SenseWear minus GPAQ results. Percentage differences are calculated by dividing the absolute difference by the average of the measurements from both methods. Separate models were fitted for each characteristic. Each model included random participant effects clustered per city.</p

Boxplots of MVPA energy expenditure (EE), SB, moderate EE and vigorous EE per method and session.

<p>For each session, the difference Δ and Spearman correlation coefficient r is specified. Δ was calculated as the mean difference between both methods and was tested for significance using the Wilcoxon signed rank sum test. r_rm is the overall Spearman correlation adjusted for repeated measures (rm) [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0177765#pone.0177765.ref033" target="_blank">33</a>]; p_Δ(t) = the p-value of the effect of session in the Δ(t) model which indicates if the difference between GPAQ and SenseWear measurements changes per repeated measurement. Statistical significance is expressed as *p<0.05, **p<0.01, and *** p<0.001.</p