Cross Sectional Analysis

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Using a Recess Program to Increase Children’s Physical Activity
A review of the article: Increasing children’s physical activity during school recess periods
Chin, J.J. & Ludwig, D. (2013). Increasing children’s physical activity during school recess periods. American Journal of Public Health, 103(7), 1229-1234. doi: 10.2105/AJPH.2012.301132
Michelle Lam
Program in Public Health
University of California, Irvine
Irvine, CA 92697

Abstract:
The cross-sectional study conducted by Chin and Ludwig is focused on seeing if introducing the Recess Enhancement Program (REP) in elementary schools would impact the rates of vigorous activity in children. The value of the research study is lowered as it contains several limitations that affect the …show more content…

The study was conducted from April to June in 2011 and each school was visited three times. The first visit was to mark the playground characteristics and set up the eight scan areas. An additional two visits were made to record the data from the 25 participating schools before and after lunch. Due to the short time frame of a cross-sectional study, it is difficult for the study to determine that the REP program triggered a change in the physical activity levels in children. The study could only suggest that REP was effective in its objective. The study only allows researchers to collect data from a single point in time. Cross-sectional studies can only report that there are correlations, but cannot determine if there was an association (Ridgers, Salmon, Parrish, Stanley, & Okely, 2012). This is one of the weak characteristics of a cross-sectional study, which indicates that more research must be done in order to determine if these programs can change the rates of physical activity in children (Ortega, Ruiz, & Sjöström, 2007). A way to solve this issue is to change the study design to a longitudinal one. The longitudinal design will allow the researchers to look at the data and determine the long-term effect of REP on the children’s physical activity (Ridgers et al., 2012). The researchers could follow the 25 schools from the beginning of the school year and …show more content…

In the conclusion, the researchers state that New York elementary schools may benefit from using REP to change the rates of physical activity in children. While the study did choose 15 REP schools and 10 non-REP schools in New York, these schools were all associated with Asphalt Green. Asphalt Green is an organization that has programs that schools can participate in. Its objective aims to increase the physical activity in New York children. The schools chosen for the study were either interested in Asphalt Green or previously used Asphalt Green’s services. It creates a bias in the results because these schools are already interested in implementing programs into their school. This also makes it difficult to generalize the results to the entire New York elementary school population (Erwin et al., 2012). A proposed solution is to do a random sample of more elementary schools that are scattered across New York. This will allow the researchers to gain information from schools with different characteristics that may affect the results of the study. A large sample size will strengthen the study and will more likely be able to represent the entire population (Cardon, Cauwenberghe, Labarque, Haerens, & De Bourdeaudhuij, 2008). This study needs to have a larger sample of elementary schools that are not limited to being associated to Asphalt Green in order to represent the New

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