Change in adiposity indicators in 299 school-age girls from Bogotá, Colombia, according to quartiles of LINE-1 DNA methylation.

1<p>For a test of linear trend when a variable that represented the median value of each quartile was introduced into a linear regression model as a continuous predictor (Wald test).</p>2<p>According to the World Health Organization growth reference for children 5–19 years <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0062587#pone.0062587-deOnis2" target="_blank">[30]</a>.</p>3<p>Values are means ± SD.</p>4<p>Values are means ± SE.</p>5<p>Adjusted for baseline age and socioeconomic status.</p>6<p>Age-standardized using the LMS method with data for boys 5–16 years of age in NHANES III <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0062587#pone.0062587-1" target="_blank">[32]</a>.</p>7<p>Subscapular-to-tricipital skinfold thickness ratio.</p

Change in adiposity indicators in 254 school-age boys from Bogotá, Colombia, according to quartiles of LINE-1 DNA methylation.

1<p>For a test of linear trend when a variable that represented the median value of each quartile was introduced into a linear regression model as a continuous predictor (Wald test).</p>2<p>According to the World Health Organization growth reference for children 5–19 years <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0062587#pone.0062587-deOnis2" target="_blank">[30]</a>.</p>3<p>Values are means ± SD.</p>4<p>Values are means ± SE.</p>5<p>Adjusted for baseline age and socioeconomic status.</p>6<p>Age-standardized using the LMS method with data for boys 5–16 years of age in NHANES III <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0062587#pone.0062587-1" target="_blank">[32]</a>.</p>7<p>Subscapular-to-tricipital skinfold thickness ratio.</p

Change in height-for-age in 553 school-age children from Bogotá, Colombia, according to quartiles of LINE-1 DNA methylation¹.

1<p>Height-for-age Z-scores were determined using the World Health Organization growth reference for children 5–19 years <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0062587#pone.0062587-deOnis2" target="_blank">[30]</a>.</p>2<p>For a test of linear trend when a variable that represented quartiles was introduced into a linear regression model as a continuous predictor (Wald test).</p>3<p>Values are mean ± SD.</p>4<p>Values are mean ± SE.</p>5<p>Adjusted for baseline age and socioeconomic status.</p

Characteristics of 553 school-age children from Bogotá, Colombia by quartiles of LINE-1 methylation¹.

1<p>Values are mean ± SD unless otherwise noted.</p>2<p>Total is <553 due to missing values.</p>3<p>According to the World Health Organization 2007 growth reference for children 5–19 years <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0062587#pone.0062587-deOnis2" target="_blank">[30]</a>.</p>4<p>Stratum 1 of a maximum of 4, according to the local government classification for tax and planning purposes.</p

Additional file 1 of DNA methylation age at birth and childhood: performance of epigenetic clocks and characteristics associated with epigenetic age acceleration in the Project Viva cohort

Additional file 1. Tables S1–S10 and Figures S1–S2

Parental and child characteristics of 610 Project Viva participants.

<p>Parental and child characteristics of 610 Project Viva participants.</p

Mid-childhood cardiometabolic risk score according to quartiles of annual change in total height, its components, and adiposity from early to mid-childhood (610 participants from Project Viva).

<p>Mid-childhood cardiometabolic risk score according to quartiles of annual change in total height, its components, and adiposity from early to mid-childhood (610 participants from Project Viva).</p

Multivariable linear regression models showing associations of growth in total height and its components from early to mid-childhood with cardiometabolic risk score in mid-childhood (610 participants from Project Viva).

<p>Multivariable linear regression models showing associations of growth in total height and its components from early to mid-childhood with cardiometabolic risk score in mid-childhood (610 participants from Project Viva).</p

Significant associations (q<0.1) between maternal trimester-specific phthalates and metabolites among 110 boys.

Significant associations (q<0.1) between maternal trimester-specific phthalates and metabolites among 110 boys.</p

Significant associations (q<0.1) between maternal phthalate exposures during third trimester and metabolites among 124 girls.

Significant associations (q<0.1) between maternal phthalate exposures during third trimester and metabolites among 124 girls.</p