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Interrelations Among Snack Preference, Purchasing Behaviors and Intake in Upper Grade Elementary School Students: Compared by the Gender and TV Watching Time
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Original Article
Interrelations Among Snack Preference, Purchasing Behaviors and Intake in Upper Grade Elementary School Students: Compared by the Gender and TV Watching Time
Eun Sil Her
Korean Journal of Community Nutrition 2013;18(5):429-441.
DOI: https://doi.org/10.5720/kjcn.2013.18.5.429
Published online: October 31, 2013

Department of Food and Nutrition, Changshin University, Changwon, Korea.

Corresponding author: Eun Sil Her, Department of food and Nutrition, Changshin University, Changwon 630-764, Korea. Tel: (055) 250-1203, Fax: (055) 250-1200, heres@csc.ac.kr
• Received: July 9, 2013   • Revised: August 7, 2013   • Accepted: August 28, 2013

Copyright © 2013 The Korean Society of Community Nutrition

This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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  • This study was conducted to examine the interrelations among snack preference, purchasing behavior and intake of fifth and sixth grade students in elementary schools in Gyeongnam province. Frequency of snack intake was the highest in those who reported 'once a day' (45.6%) snack habit. Longer-time television viewers also showed higher frequency of snack intake than shorter-time viewers. Thirty-three percent of students purchased snacks by themselves and the frequency of snack purchasing had a significant positive relationship with TV watching time (p < 0.01). The main reason, place and time of eating snacks were 'hunger' (79.2%), their home environment (50.9%) and 'after school hours' (89.7%). The favorite snack was 'ice cream' and, this snack habit was significantly different by gender of the child (p < 0.01) and TV watching time (p < 0.01). 'Milk and dairy products' scored highest (3.47) in snack intake frequency among longer-time TV viewers (> 2hr) compared to shorter-time TV viewers and this difference was statistically significant (p < 0.001). The snack preference score was correlated positively (r = 0.454) with the intake frequency for snack and its explanation power (R2) was 20.5%. With regard to snack purchase behaviors, the scores of 'checking the expiration date' and 'comparing the price with similar products' were high (in what group?). Female students (p < 0.001) and shorter-time TV viewers (< 2hr) (p < 0.01) had a more reasonable purchasing behavior. The total score of preference was significantly higher (p < 0.05) in shorter-timeTV viewers (< 2hr). In the correlation between snack purchasing behaviors and intake frequency, attractiveness (r = 0.208, p < 0.001) and preference (r = 0.330, p < 0.001) showed significant positive correlations. The result of regression analysis, preference only was selected (R2= 0.108).
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Table 1
The general characteristics of the subjects
kjcn-18-429-i001.jpg
Table 2
Snack-related behaviors by gender and TV watching time
kjcn-18-429-i002.jpg

1) N (%)

*: p < 0.05, **: p < 0.01

Table 3
Preferences of snacks by gender and TV watching time
kjcn-18-429-i003.jpg

1) Mean ± SD, The perfect of each items was 5 points.

*: p < 0.05, **: p < 0.01, ***: p < 0.001

Table 4
The frequency of snack intake by gender and TV watching time
kjcn-18-429-i004.jpg

1) Mean ± SD, The perfect of each items was 6 points.

*: p < 0.05, **: p < 0.01, ***: p < 0.001

Table 5
Pearson's correlation coefficient between preferences and intake frequency of snacks by gender and TV watching time
kjcn-18-429-i005.jpg

***: p < 0.001

Table 6
Regression analysis of the influence of preferences on intake frequency of snacks by gender and TV watching time
kjcn-18-429-i006.jpg

1) Standard error

*: p < 0.05, **: p < 0.01, ***: p < 0.001

Table 7
Snack purchasing behaviors by gender and TV watching time
kjcn-18-429-i007.jpg

1) Mean ± SD, The perfect of each items was 5 points.

Total variance explanatory 46.4%

KMO and Bartlett's test 0.847 (p = 0.000)

*: p < 0.05, **: p < 0.01, ***: p < 0.001

Table 8
Pearson's correlation coefficient between snack purchasing behaviors and intake frequency of snacks by gender and TV watching time
kjcn-18-429-i008.jpg

*: p < 0.05, **: p < 0.01, ***: p < 0.001

Table 9
Regression analysis of the influence of snack purchasing behaviors on intake frequency of snacks by gender and TV watching time
kjcn-18-429-i009.jpg

1) Standard error

**: p < 0.01, ***: p < 0.001

Figure & Data

REFERENCES

    Citations

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      Interrelations Among Snack Preference, Purchasing Behaviors and Intake in Upper Grade Elementary School Students: Compared by the Gender and TV Watching Time
      Korean J Community Nutr. 2013;18(5):429-441.   Published online October 31, 2013
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    Interrelations Among Snack Preference, Purchasing Behaviors and Intake in Upper Grade Elementary School Students: Compared by the Gender and TV Watching Time
    Interrelations Among Snack Preference, Purchasing Behaviors and Intake in Upper Grade Elementary School Students: Compared by the Gender and TV Watching Time

    The general characteristics of the subjects

    Snack-related behaviors by gender and TV watching time

    1) N (%)

    *: p < 0.05, **: p < 0.01

    Preferences of snacks by gender and TV watching time

    1) Mean ± SD, The perfect of each items was 5 points.

    *: p < 0.05, **: p < 0.01, ***: p < 0.001

    The frequency of snack intake by gender and TV watching time

    1) Mean ± SD, The perfect of each items was 6 points.

    *: p < 0.05, **: p < 0.01, ***: p < 0.001

    Pearson's correlation coefficient between preferences and intake frequency of snacks by gender and TV watching time

    ***: p < 0.001

    Regression analysis of the influence of preferences on intake frequency of snacks by gender and TV watching time

    1) Standard error

    *: p < 0.05, **: p < 0.01, ***: p < 0.001

    Snack purchasing behaviors by gender and TV watching time

    1) Mean ± SD, The perfect of each items was 5 points.

    Total variance explanatory 46.4%

    KMO and Bartlett's test 0.847 (p = 0.000)

    *: p < 0.05, **: p < 0.01, ***: p < 0.001

    Pearson's correlation coefficient between snack purchasing behaviors and intake frequency of snacks by gender and TV watching time

    *: p < 0.05, **: p < 0.01, ***: p < 0.001

    Regression analysis of the influence of snack purchasing behaviors on intake frequency of snacks by gender and TV watching time

    1) Standard error

    **: p < 0.01, ***: p < 0.001

    Table 1 The general characteristics of the subjects

    Table 2 Snack-related behaviors by gender and TV watching time

    1) N (%)

    *: p < 0.05, **: p < 0.01

    Table 3 Preferences of snacks by gender and TV watching time

    1) Mean ± SD, The perfect of each items was 5 points.

    *: p < 0.05, **: p < 0.01, ***: p < 0.001

    Table 4 The frequency of snack intake by gender and TV watching time

    1) Mean ± SD, The perfect of each items was 6 points.

    *: p < 0.05, **: p < 0.01, ***: p < 0.001

    Table 5 Pearson's correlation coefficient between preferences and intake frequency of snacks by gender and TV watching time

    ***: p < 0.001

    Table 6 Regression analysis of the influence of preferences on intake frequency of snacks by gender and TV watching time

    1) Standard error

    *: p < 0.05, **: p < 0.01, ***: p < 0.001

    Table 7 Snack purchasing behaviors by gender and TV watching time

    1) Mean ± SD, The perfect of each items was 5 points.

    Total variance explanatory 46.4%

    KMO and Bartlett's test 0.847 (p = 0.000)

    *: p < 0.05, **: p < 0.01, ***: p < 0.001

    Table 8 Pearson's correlation coefficient between snack purchasing behaviors and intake frequency of snacks by gender and TV watching time

    *: p < 0.05, **: p < 0.01, ***: p < 0.001

    Table 9 Regression analysis of the influence of snack purchasing behaviors on intake frequency of snacks by gender and TV watching time

    1) Standard error

    **: p < 0.01, ***: p < 0.001


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