Additional file 4: Table S1. of Short-term air pollution exposure decreases lung function: a repeated measures study in healthy adults

Detailed Characteristics of the study population at entry of the study (n=2,449) and pulmonary outcomes based on all clinical visits (n=5,404). (DOC 36 kb

Additional file 5: Table S2. of Short-term air pollution exposure decreases lung function: a repeated measures study in healthy adults

Summary pollutant concentration data per year (Station Dessel 42N016) per year. (DOC 49 kb

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

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

Additional file 2: of Physical Activity through Sustainable Transport Approaches (PASTA): protocol for a multi-centre, longitudinal study

The full questionnaire of the PASTA longitudinal survey is provided as supplemental material, and is also available from http://pastaproject.eu/fileadmin/editor-upload/sitecontent/City_survey/PASTA-questionnaires.pdf . (PDF 3792 kb

Additional file 6 of Analysis of DNA methylation at birth and in childhood reveals changes associated with season of birth and latitude

Additional file 6. Table S5: “Genes mapped to DMP/DMR identified in at-birth samples of babies born in the latitude ≥ 50°N and some examples of their associations with biological functions”. Provides examples of known functional associations of genes mapped to significant CpG sites or differentially methylated regions identified in this study

Additional file 4 of Analysis of DNA methylation at birth and in childhood reveals changes associated with season of birth and latitude

Additional file 4. Table S2: “Models used in this meta-analysis study”. Inflation (lambda) and bias information of the models. Table S3: “Comparison of magnitude and direction of the FDR-significant DNA methylation signals identified in the at-birth and childhood meta-analyses”

Additional file 8 of Analysis of DNA methylation at birth and in childhood reveals changes associated with season of birth and latitude

Additional file 8. Table S8: “Genes mapped to DMR identified in the childhood samples of children born in the latitude ≥ 50°N and some examples of their associations with biological functions”. Provides examples of known functional associations of genes mapped to significant differentially methylated regions identified in this study