StatCrunch logo (home)

Report Properties
Thumbnail:

from Flickr
Created: Feb 5, 2018
Share: yes
Views: 334
Tags:
 
Results in this report
 
Data sets in this report
None
 
Need help?
To copy selected text, right click to Copy or choose the Copy option under your browser's Edit menu. Text copied in this manner can be pasted directly into most documents with formatting maintained.
To copy selected graphs, right click on the graph to Copy. When pasting into a document, make sure to paste the graph content rather than a link to the graph. For example, to paste in MS Word choose Edit > Paste Special, and select the Device Independent Bitmap option.
You can now also Mail results and reports. The email may contain a simple link to the StatCrunch site or the complete output with data and graphics attached. In addition to being a great way to deliver output to someone else, this is also a great way to save your own hard copy. To try it out, simply click on the Mail link.
Week 5 Report: Cho Article Data
Mail   Print   Twitter   Facebook

Introduction: Physical activity levels influence one's likelihood of developing health problems associated with obesity. According to Efrat, these activity levels during elementary school can have a lasting impact on one's health later in life (Efrat 2017). Some conditions, which can be linked to physical inactivity, are more prevalent in men compared to women. One must ponder if this relates to physical activity level as a child. This study evaluates 1097 South Korean children, investigating their activity level and if there is evidence of dependence between gender and activity level. 

Methods: 342 boys and 755 girls were surveyed. The boys and girls were divided into groups according to their physical activity level, ranging from very active to inactive. A chi-square test was utilized to determine if there is evidence of dependence between gender and activity level. A confidence interval was obtained for the group with the highest row percent (inactive girls) to obtain a range of girls falling into this category. 

Analysis: 

The chi-square test yielded a p-value of <0.0001, which indicates that there is evidence of dependence between gender and activity level. Additionally, one can deduce that girls are more likely to be inactive than boys, and boys are more likely to have acceptable activity level compared to girls. 

Result 1: Contingency table (with summary) for report week 5   [Info]
Contingency table results:
Rows: Gender
Columns: None

Cell format
Count
(Row percent)
(Expected count)

Very ActiveActiveAcceptableNot EnoughInactiveTotal
Boys13
(3.8%)
(5.61)
56
(16.37%)
(20.89)
63
(18.42%)
(30.55)
80
(23.39%)
(72.02)
130
(38.01%)
(212.93)
342
(100%)
Girls5
(0.66%)
(12.39)
11
(1.46%)
(46.11)
35
(4.64%)
(67.45)
151
(20%)
(158.98)
553
(73.25%)
(470.07)
755
(100%)
Total18
(1.64%)
67
(6.11%)
98
(8.93%)
231
(21.06%)
683
(62.26%)
1097
(100%)

Chi-Square test:
StatisticDFValueP-value
Chi-square4198.17994<0.0001

A 95% confidence interval was obtained, indicating that between 67% and 73% of girls are inactive.

Result 2: One sample proportion summary confidence interval for week 5 report   [Info]
One sample proportion summary confidence interval:
p : Proportion of successes
Method: Standard-Wald

95% confidence interval results:
ProportionCountTotalSample Prop.Std. Err.L. LimitU. Limit
p5337550.705960260.0165813420.673461430.7384591

Conclusion: The results of the chi-square test support the hypothesis that gender is associated with physical activity level. As the test was conducted in South Korea, it would be interesting to explore gender roles and physical education within the country and how these might influence this difference in physical activity levels between genders. With this decreased physical activity level compared to boys, girls will be at increased risk for conditions related to sedentary lifestyle. Unfortunately, the results of this study cannot be used as the sole basis for clinical decisions. However, the results of this study may influence further research on the topic and the development of gender specific physical education programs. 

References: 

Efrat, M. W. (2017). Exploring Strategies that Influence Children's Physical Activity Self-Efficacy. Contemporary Issues in Education Research, 10(2), 87-94.

HTML link:
<A href="https://www.statcrunch.com/5.0/viewreport.php?reportid=75561">Week 5 Report: Cho Article Data</A>

Comments
Want to comment? Subscribe
Already a member? Sign in.
By nku.dr.nolan
Feb 12, 2018

Looks good Rosemary! Well done with the CI.
By rebecca.powell23
Feb 9, 2018

I was very interested in the results to this study. It's no secret that America is becoming more obese as time continues. Although I too am guilty at times for handing my kids an i-pad to allow myself time to complete housework, or even my stats homework (haha!!), I am adamant about them having an active lifestyle. It is interesting to see that girls are considered more inactive than boys, because as a child growing up with brothers, I was actually the most active and involved in sports.
By kyleigh.odom711
Feb 8, 2018

I agree that it would be interesting to see how gender roles in South Korea may affect the activity level between boys and girls. I would like to see if the inactive group had any confounding due to non-participation, were these kids totally "inactive" or did they maybe have other responsibilities that interfere with them having "leisure" time.
By carrie.ayers
Feb 7, 2018

Rosemary,

I completed the same report and did not even think about producing a CI for this information. The CI was a great idea and very nicely gives a percentage by how much girls are considered "inactive". I do feel this provides a small education point for providers to further encourage girls to become more active in their everyday life. But, I do agree it would be interesting to explore the views on gender roles and physical activity in South Korea.

Always Learning