Journal List > Korean J Community Nutr > v.24(2) > 1122130

Woo, Yoo, and Lee: Relationship between the Intake of Children's Favorite Foods and Policy based on Special Act on Safety Control of Children's Dietary Life

Abstract

Objectives

This study examined the status of children's favorite foods intake and the relationship with the policy environment based on the Special Act on Safety Control of Children's Dietary Life for suggesting a supportive policy strategy.

Methods

The subjects were 4th grade students (n=1,638) in elementary school from 45 schools collected from seven areas (Seoul, Daegu, Daejeon, Gyeonggi, Chungnam, Jeonbuk, and Gyeongnam). The children participated in a self-administered questionnaire survey in class under the supervision of the teacher. The questionnaire consisted of items, such as social demographic characteristics, frequency of intake of the children's favorite foods, and policy cognition. A t-test and ANOVA were applied to explore the relationship between the frequency of children's favorite foods intake and policy cognition. The survey was implemented from August 2016 to September 2016.

Results

For the boys, the frequency of ‘high-calorie low nutrient foods intake’ (HCLN) was significantly higher than that of the girls (p<0.01). For the children who received information on their favorite foods from the internet, the frequency of HCLN was higher than the other sources (p<0.01). The time of TV viewing and computer usage, and smartphone usage was associated with a higher frequency of HCLN, and a lower healthy favorite food intake (all p<0.001). The intake frequency of healthy favorite foods indicated a positive correlation with the policy cognition, including policy perception, usefulness, necessity and buying intention, and educational experience.

Conclusions

This study showed a correlation with the frequency of children's favorite foods intake and policy. In particular, the frequency of children's healthy favorite foods intake indicated a meaningful relationship with the policy than the frequency of HCLN. This study also found that the consumption of children's healthy favorite foods was positively correlated with the educational experience. To develop a supportive policy for a good dietary environment for children, there is a need to focus on how to collaborate with multiple levels of influences, such as the national level, school level, and family.

Figures and Tables

Table 1

Social demographic characteristics of subjects

kjcn-24-106-i001

1) Mean ± S.D.

2) Body Mass Index (kg/m2) %ile based on 2007 Korean national growth charts for children and adolescent (underweight: BMI percentile <5; normal weight: 5 ≤ BMI percentile < 85; overweight: 85≤ BMI percentile)

3) The data show only positive answer in this variable

Table 2

Frequency of children's favorite foods intake

kjcn-24-106-i002

1) Mean ± S.D. (converted to intake frequency per week, 0=not at all, 0.5=1~3 times a month, 2=1~3 times a week, 5=4~6 times a week, 7=once a day, 14=more than twice a day)

2) Cookie, biscuit (sweet snacks), potato chips etc. (salty snacks), cereal, cereal bar

3) Chocolate, chocolate bar, candy, jelly

4) Processed milk, carbonated drink, high-caffeinated drink, fruit flavor drink, others drink (ionic drink, vitamin drink etc.)

5) Fried chicken·chicken gangjeong, others fried (Fried squid etc.)

6) Skewers, Dumplings, dukbokki, hamburger, pizza

7) Gimbaps, sandwiches

Table 3

Comparison of children's favorite foods intake and social demographic variables

kjcn-24-106-i003

1) Mean ± S.D.; frequency of children's favorite foods intake per week

2) BMI (body mass index) percentile based on 2007 Korean national growth charts for children and adolescents (underweight: BMI percentile < 5; normal weight: 5 ≤ BMI percentile < 85; overweight: 85≤ BMI percentile)

3) *: p<0.05, **: p<0.01, **: p<0.001 by t-test

4) *: p<0.05, **: p<0.01, **: p<0.001 by ANOVA

abc: Values with the different small letter superscript are significantly different among column by Duncan's multiple range test at p<0.05.

Table 4

Comparison of policy cognition, educational experience among clusters

kjcn-24-106-i004

1) Frequency of children's healthy favorite foods intake in clusters: low intake −7.3 ± 3.4 times per week, medium intake-18.1 ± 3.6 times per week, high intake-32.7 ± 6.2 times per week

2) Policy cognition consisted of policy perception, policy usefulness, policy necessity and buying intention; total score-23 points

3) Mean ± S.D. (policy perception: 10 points, policy usefulness: 4 points, policy necessity: 6 points, buying intention: 3 points, educational experience: 3 points)

**: p<0.01, **: p<0.001 by ANOVA

abc: Values with the different small letter superscript are significantly different among row by Duncan's multiple range test at p<0.05.

Table 5

Comparison of policy cognition, educational experience among clusters

kjcn-24-106-i005

1) Frequency of children's high-calorie low-nutrient favorite foods intake in clusters:low intake −4.3 ± 2.2 times per week, medium intake-11.5 ± 2.4 times per week, high intake-22.7 ± 5.0 times per week

2) Policy cognition consisted of policy perception, policy usefulness, policy necessity and buying intention; total score-23 points

3) Mean ± S.D. (policy perception: 10 points, policy usefulness: 4 points, policy necessity: 6 points, buying intention: 3 points, educational experience: 3 points)

*: p<0.05 by ANOVA

Table 6

Pearson correlation coefficient among frequency of children's favorite foods intake, policy cognition and educational experience

kjcn-24-106-i006

*: p<0.05, **: p<0.01, **: p<0.001 by pearson correlation analysis

Acknowledgments

This work was supported by a grant (16162MFDS084) from Ministry of Food and Drug Safety in 2016.

References

1. Kang SA, Lee JW, Kim KE, Koo JO, Park DY. A study of the frequency of food purchase for snaking and its related ecological factors on elementary school children. Korean J Community Nutr. 2004; 9(4):453–463.
2. Kim HR. An overview of food safety and nutrition policy for children and tasks ahead. Health Welf Policy Forum. 2010; 161:27–36.
3. Na EY. Children and adolescents as respondents to advertising communication: characteristics and necessity of sanctions. Korean J Consum Advert Psychol. 2006; 7(1):131–163.
4. Cassady D, Vogt R, Oto-Kent D, Mosley R, Lincoln R. The power of policy: a case study of healthy eating among children. Am J Public Health. 2006; 96(9):1570–1571.
crossref
5. Cullen KW, Thompson DI. Texas school food policy changes related to middle school a la carte/snack bar foods:potential saving in kilocalories. J Am Diet Assoc. 2005; 105(12):1952–1954.
6. Contento IR. Nutrition education: linking research, theory, and practice. 3rded. Burlington (MA): Jones & Bartlett Learning;2016. p. 31–49. p. 198
7. Kim Y, Han SN. Associations between exposure to unhealthy food outlets within residential district and obesity: using data from 2013 Census on Establishments and 2013-2014 Korea National Health and Nutrition Examination Survey. Korean J Community Nutr. 2016; 21(5):463–476.
crossref
8. National Law Information Center. Special act on safety management of children's dietary lifestyle [internet]. Ministry of Government Legislation;2009. cited 2016 Jan 10. Available from: http://www.law.go.kr/.
9. Kim BR. Fast food consumption pattern and food habit by fast food intake frequency of middle school students in Wonju area. J Korean Home Econ Educ Assoc. 2009; 21(4):19–33.
10. Cho EA, Lee SK, Heo GJ. Snack consumption behaviors and nutrition knowledge among elementary school students in Siheung-si. Korean J Community Nutr. 2010; 15(2):169–179.
11. Kang HS, Lee NH, Lee EJ, Cho SH. Consumption and perception of high caloric, low nutrient dense foods by middle school students in Daegu. J Korean Diet Assoc. 2012; 18(3):234–247.
crossref
12. Koo HJ, Kim SY. Analysis of purchasing behaviors of processed foods in high school students in Yongin region. J Korean Soc Food Sci Nutr. 2014; 43(12):1929–1936.
crossref
13. Lee MS, Kim JH, Lee BS, Lee YN, Son SM, Lee JW. Nutritional assessment. 4th ed. Paju: Kyomunsa;2017. p. 164.
14. Hong JI, Jeong HS. A study on the effective educational and promotional strategies for the Special Act on the Safety Management of Children's Dietary Life. Korean J Culinary Res. 2012; 18(5):176–189.
15. Kim H, Pae M. Lifestyle, dietary behavior and snack preference of upper grade elementary school students in Cheongju according to the usage time of smartphones. Korean J Community Nutr. 2017; 22(1):40–52.
16. Heo GJ, Nam SY, Lee SK, Chung SJ, Yoon JH. The relationship between high energy/low nutrient food consumption and obesity among Korean children and adolescents. Korean J Community Nutr. 2012; 17(2):226–242.
crossref
17. Vader AM, Walters ST, Harris TR, Hoelscher DM. Television viewing and snacking behaviors of fourth- and eighth-grade schoolchildren in Texas. Prev Chronic Dis. 2009; 6(3):A89.
18. Lee GO. A content analysis of food advertising on children's television: examination of food advertising regulation issues. Korea J Broadcast Telecommun Stud. 2010; 10:41–69.
19. Rothschild ML. Carrots, sticks, and promises: a conceptual framework for the management of public health and social issue behaviors. J Mark. 1999; 63(4):24–37.
crossref
20. Tate EB, Unger JB, Chou CP, Spruijt-Metz D, Pentz MA, Riggs NR. Children's executive function and high calorie, low nutrient food intake: mediating effects of child-perceived adult fast food intake. Health Educ Behav. 2015; 42(2):163–170.
21. Te Morenga LA, Howatson AJ, Jones RM, Mann J. Dietary sugars and cardiometabolic risk: systematic review and meta-analyses of randomized controlled trials of the effects on blood pressure and lipids. Am J Clin Nutr. 2014; 100(1):65–79.
crossref
TOOLS
ORCID iDs

Taejung Woo
https://orcid.org/0000-0002-4883-2047

Jihye Yoo
https://orcid.org/0000-0001-9222-0390

Kyung-Hea Lee
https://orcid.org/0000-0003-0444-4824

Similar articles