Incidence of myopia according to age.

<p>Incidence of myopia according to age.</p

Frequency of cases with quantum of myopia progression after 1 year.

<p>Frequency of cases with quantum of myopia progression after 1 year.</p

Age specific incidence of myopia (n = 8200).

<p>Age specific incidence of myopia (n = 8200).</p

Progression of myopia according to age.

<p>Progression of myopia according to age.</p

Distribution of age, gender and type of school with incidence and progression of myopia.

<p>Distribution of age, gender and type of school with incidence and progression of myopia.</p

The mean and range of the hours spent per week in various behavioral risk factors among children with progression.

<p>The mean and range of the hours spent per week in various behavioral risk factors among children with progression.</p

Age specific progression of myopia (n = 1279).

<p>Age specific progression of myopia (n = 1279).</p

Age distribution of mean hours spent in reading / writing and outdoor activity.

<p>Age distribution of mean hours spent in reading / writing and outdoor activity.</p

Secular trends in prevalence of overweight according to different gender and type of school from 2006 to 2009.

<p>Caption: Prevalence of overweight (in percentage, y-axis) in males, females, privately-funded and government-funded schools (x-axis) in year 2006 (white bars) and 2009 (black bars); <i>p</i> value<0.05 was considered significant; Overweight was defined as 85th percentile of age and gender specific cut-offs of body mass index in Asian Indians <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0017221#pone.0017221-Pandey1" target="_blank">[23]</a>.</p

Secular Trends in prevalence of underweight, overweight and obesity from 2006 to 2009.

<p>Caption: Year 2006 (white bars) and 2009 (black bars) included 3493 and 4908 urban Asian Indian adolescents aged 14–17 years, respectively; <i>p</i> value<0.05 was considered significant; Underweight, overweight and obesity were defined as 5th, 85th and 95th percentiles of age and gender specific cut-offs of body mass index in Asian Indians, respectively <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0017221#pone.0017221-Pandey1" target="_blank">[23]</a>.</p