Additional file 1: of Pediatric emergency department visits for pedestrian and bicyclist injuries in the US

Detailed list of ICD-9-CM codes. (DOCX 13 kb

Additional file 2: of Pediatric emergency department visits for pedestrian and bicyclist injuries in the US

R code to reproduce or adapt study methods. (PDF 1207 kb

MOESM4 of Measuring health-relevant businesses over 21Â years: refining the National Establishment Time-Series (NETS), a dynamic longitudinal data set

Additional file 4. Information in greater detail on our geocoding processes

MOESM1 of Measuring health-relevant businesses over 21Â years: refining the National Establishment Time-Series (NETS), a dynamic longitudinal data set

Additional file 1. Sources of address information in NETS used to build comprehensive address file

MOESM2 of Measuring health-relevant businesses over 21Â years: refining the National Establishment Time-Series (NETS), a dynamic longitudinal data set

Additional file 2. Comparing match rates and geocoding accuracy for business locations in NY–NJ–PA CBSA 23 counties, for the years 1990, 2000, and 2010, prior to quality restricting business locations

Home neighborhoods overlaid on same sex headed-households (2010 US Census data), NYCM2M Study.

<p>Home neighborhoods overlaid on same sex headed-households (2010 US Census data), NYCM2M Study.</p

Neighborhood characteristics, NYC MSM, 2010 – 2012 (N = 706).

<p>Note: Some of the N’s do not equal the total due to missing/not applicable responses.</p>1<p>Percent is of 347 neighborhoods listed in drop down list.</p>2<p>Percent is of 706 participants.</p><p>-- not asked.</p

Additional file 1: Figure S1. of Physical activity, black carbon exposure, and DNA methylation in the FOXP3 promoter

Sampling scheme for accelerometer, black carbon (BC), buccal swabs for DNA and RNA analysis and spirometry. Figure S2. Schematic representation of the FOXP3 gene and the six CpG sites in the promoter region that were investigated. TSS transcription start site, TSDR Treg-specific demethylated region, CNS conserved non-coding sequence. Figure S3. Correlations of FOXP3 methylation across promoter regions and with mRNA relative expression. Figure S4. Distribution of FOXP3 promoter methylation in females vs. males stratified by physical activity (active vs. non-active). Females have lower FOXP3 promoter methylation compared to males. Figure S5. Distribution of FOXP3 promoter methylation in females vs. males stratified by BC concentration (low vs. high). Females have lower FOXP3 promoter methylation compared to males. Figure S6. Distribution of FOXP3 promoter methylation stratified by combined activity and BC concentration in females (n = 67). Figure S7. Distribution of FOXP3 promoter methylation stratified by combined activity and BC concentration in males (n = 68)

Additional file 2: Table S1. of Physical activity, black carbon exposure, and DNA methylation in the FOXP3 promoter

Primers for PCR and pyrosequencing experiments. Table S2. Correlations of day 1 vs. day 6 FOXP3 methylation and mRNA expression. Table S3. Among children with high BC exposure, there is a trend towards active children (coded 1) having a greater odds of lower methylation compared to non-active children (coded 0). Table S4. Higher FOXP3 promoter 2 methylation is associated with overall lower lung function (n = 135). Table S5. The relationship between FOXP3 promoter 2 methylation and lung function does not significantly vary by high vs. low BC exposure. Table S6. Among children with high BC, the association between physical activity and FOXP3 promoter methylation is greater in females. Table S7. The relationship between FOXP3 promoter methylation and lung function is greater among females compared to that among males