[논문]다양한 식사섭취 조사방법을 활용한 비만 초등학생의 식생활 실태 분석

윤혜빈; 송진선; 한영신; 이경아

doi:10.4163/jnh.2023.56.1.97

다양한 식사섭취 조사방법을 활용한 비만 초등학생의 식생활 실태 분석
Analysis of the diet of obese elementary school students using various dietary intake survey methods 원문보기

Journal of nutrition and health, v.56 no.1, 2023년, pp.97 - 111

윤혜빈 (대구가톨릭대학교 식품영양학과) , 송진선 (대구가톨릭대학교 식품영양학과) , 한영신 (대구가톨릭대학교 식품영양학과) , 이경아 (대구가톨릭대학교 식품영양학과)

초록
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COVID-19로 인한 사회적 거리 두기 실천으로 소아 비만 증가하였고 비만 학생 대상 영양교육 및 상담의 필요성이 증가하고 있다. 이에 비만 초등학생의 식생활 문제점을 분석하여 비만 개선을 위한 영양교육 및 영양상담 시 활용할 수 있는 기초자료를 제공하고자 하였다. 본 연구는 2020년 부산시교육청 주관 영양캠프에 참여한 초등학생 4-6학년 88명을 대상으로 사진 활용 24시간 식사기록, 한 달 간의 식품섭취빈도 조사, DST 식습관 조사를 활용하여 식생활 실태를 분석하였다. 조사 대상자는 남학생 46.6%, 여학생 53.4%로 정상체중군 15.7%, 과체 중군 30.3%, 비만군 53.9%이다. 조사대상자의 평균 연령은 11.77 ± 0.77세, 평균 신장은 147.44 ± 8.08 cm, 평균 체중은 53.47 ± 1.56 kg, 평균 체질량지수는 23.96 ± 3.01 kg/m² 이었다. 사진활용 24시간 식사기록 조사 결과, 과체중군과 비만군이 정상체중군보다 녹색 채소류 (p < 0.001)와 흰색 채소류 (p < 0.01)의 섭취가 적었으며, 한 달 간의 식품섭취빈도 조사를 식품군으로 묶어 조사한 결과에서는 어패류 (p < 0.01)와 녹색 채소류 (p < 0.05)의 섭취빈도가 낮아 유의한 차이를 보였으며, 81가지 식품을 나누어 분석한 결과에서는 비만군이 정상체중군보다 라면 (p < 0.01)과 스넥과자류 (p < 0.05)의 섭취빈도가 높고 비만군이 정상체중군과 과체중군보다 탄산음료 (p < 0.01), 햄, 소시지 (p < 0.05)의 섭취빈도가 높은 반면, 과체중군과 비만군이 정상 체중군보다 멸치 (p < 0.05)와 브로콜리 (p < 0.05), 단호박 (p < 0.05)의 섭취가 낮아 유의한 차이를 보였다. DST 식습관 조사를 비교한 결과, 과체중군과 비만군이 정상체중군보다 채소류 (p < 0.01) 섭취가 낮은 반면, 유제품 (p < 0.05)과 단 간식 (p < 0.05) 섭취가 높게 나타나 유의한 차이를 보였다. 이상의 결과는 비만 아동의 문제를 해결하기 위해 다양한 방법을 활용하여 식생활 문제를 평가하고 개인 문제에 맞는 해결 방법으로 접근해야 함을 시사한다.

Abstract ▼ AI-Helper

Purpose: Childhood obesity has become a social problem due to the social distancing necessitated by the coronavirus disease 2019 pandemic. This study aimed to identify the dietary problems of obese children through various dietary assessment methods and to confirm the usefulness of each method. Methods: The subjects were 88 students in the 4th to 6th grade of elementary school who participated in the nutrition camp organised by the Busan Metropolitan Office of Education, 2020. To evaluate dietary problems and assess diet quality, 24-hour meal records, monthly food intake frequency, and Dietary Screening Test (DST) data were analyzed. Results: Of the subjects, 15.7%, 30.3%, and 53.9% were normal weight, overweight, and obese, respectively. The average age was 11.77 ± 0.77 years and the average body mass index was 23.96 ± 3.01 kg/m2. It was observed from the 24-hour meal record method that the overweight and obese subject groups consumed fewer green vegetables (p < 0.001) and white vegetables (p < 0.01) than the normal weight group. In the monthly food intake frequency method, the consumption of ramen (p < 0.01), snacks (p < 0.05), and sausages (p < 0.05) were high in the obese group, and that of anchovies, broccoli, and sweet pumpkin was high in the normal group (p < 0.05). The comparative data from the DST revealed that the overweight and obese groups had less vegetable intake than the normal weight group (p < 0.01) and had higher intakes of dairy products, fast food, and sweet snacks (p < 0.05). Conclusion: The usefulness of each method in the dietary evaluation of obese children was confirmed. To address the problem of obesity, it is necessary to evaluate the dietary problem and approach it with a customized solution tailor-made for the individual subject.

주제어

표/그림 (7)

표 Table 1. General characteristics of the subjects
표 Table 2. The 24-hour record using photos of 14 food groups¹⁾
표 Table 3. Food intake frequency per month by 14 food groups¹⁾
표 Table 4. Frequency of food intake for 81 food groups per month¹⁾
표 Table 4. (Continued) Frequency of food intake for 81 food groups per month¹⁾
표 Table 5. Eating habits survey using Dietary Screening Test¹⁾
표 Table 6. Summary of diet patterns of obese children according to three survey methods

참고문헌 (38)

Jung T, Huang J, Eagan L, Oldenburg D. Influence of school-based nutrition education program on？healthy eating literacy and healthy food choice among primary school children. Int J Health Promot Educ？2019; 57(2): 67-81.？
Jung KA. A study on the trends of researches on problems related to eating behaviors of elementary？school students. J Korean Pract Arts Educ 2009; 22(3): 161-196.
Lim YO, Kim YN. The effects of stress and social support on obesity in junior high school students living？in small cities. Korean J Community Nutr 2002; 7(5): 705-714.
Kang MH, Yoon KS. Elementary school students' amounts of sugar, sodium, and fats exposure through？intake of processed food. J Korean Soc Food Sci Nutr 2009; 38(1): 52-61.？

원문보기 상세보기
Ko YS, Kim EM, Lee HS. A study of dietary intake of total sugars by elementary students in Jeju province. J？Nutr Health 2015; 48(1): 81-93.？
Ku UH, Seo JS. The status of nutrient intake and factors related to dislike of vegetables in elementary？school students. Korean J Community Nutr 2005; 10(2): 151-162.
Kim JY, Han YS, Bae HS, Ahn HS. Dietary intakes and serum lipids and iron indices in obese children.？Korean J Community Nutr 2006; 11(5): 575-586.
Park MA, Moon HK, Lee KH, Suh SJ. A study on related risk factors of obesity for primary school children？- Difference between normal and obese group -. Korean J Nutr 1998; 31(7): 1158-1164.
World Obesity Federation. Treat obesity now and avoid the consequences later [Internet]. London: World？Obesity Federation; 2017 [cited 2022 Oct 10]. Available from: https://www.worldobesity.org/what-we-do/world-obesity-day/world-obesity-day-2017.
World Health Organization. Report of the Commission on Ending Childhood Obesity. Geneva: World？Health Organization; 2016.
Bracale R, Vaccaro CM. Changes in food choice following restrictive measures due to COVID-19. Nutr？Metab Cardiovasc Dis 2020; 30(9): 1423-1426.？
Rodriguez-Martin BC, Meule A. Food craving: new contributions on its assessment, moderators, and？consequences. Front Psychol 2015; 6: 21.？

상세보기
Ministry of Health and Welfare (KR). National obesity management comprehensive measures [Internet].？Sejong: Ministry of Health and Welfare; 2018 [cited 2021 Dec 9]. Available from: http://www.mohw.go.kr/react/al/sal0301vw.jsp?PAR_MENU_ID04&MENU_ID0403&page1&CONT_SEQ345515.
Park JH. Identification of factors related with sexual maturity and obesity among elementary school girls？[master's thesis]. Seoul: Dongduk Women's University; 2003.
Seo JS, Lee BK, Lee HS, Lee SK, Lee YN, Jeong SJ, et al. Nutrition Education and Counseling. Paju:？Kyomoonsa; 2021.
Livingstone MB, Robson PJ, Wallace JM. Issues in dietary intake assessment of children and adolescents.？Br J Nutr 2004; 92 Suppl 2: S213-S222.？
Baxter SD, Thompson WO, Litaker MS, Frye FH, Guinn CH. Low accuracy and low consistency of fourthgraders' school breakfast and school lunch recalls. J Am Diet Assoc 2002; 102(3): 386-395.？

상세보기
Kwon JS, Kim K, Kim HK. A study on application of food photographs for estimating individuals' dietary？intake. Korean J Community Nutr 2010; 15(6): 760-775.
Martin CK, Correa JB, Han H, Allen HR, Rood JC, Champagne CM, et al. Validity of the Remote Food？Photography Method (RFPM) for estimating energy and nutrient intake in near real-time. Obesity (Silver？Spring) 2012; 20(4): 891-899.？

상세보기
Gemming L, Utter J, Ni Mhurchu C. Image-assisted dietary assessment: a systematic review of the？evidence. J Acad Nutr Diet 2015; 115(1): 64-77.？

상세보기
Lee HJ, Kim EB, Kim SH, Lim HE, Park YM, Kang JH, et al. Validation of nutrient intake of smartphone？application through comparison of photographs before and after meals. J Nutr Health 2020; 53(3): 319-328.？

원문보기 상세보기
Kim Y, Chang H. Correlation between attention deficit hyperactivity disorder and sugar consumption,？quality of diet, and dietary behavior in school children. Nutr Res Pract 2011; 5(3): 236-245.？

원문보기 상세보기
Ludwig DS, Peterson KE, Gortmaker SL. Relation between consumption of sugar-sweetened drinks and？childhood obesity: a prospective, observational analysis. Lancet 2001; 357(9255): 505-508.？

상세보기
Bae YJ, Kim EY, Cho HK, Kim MH, Choi MK, Sung MK, et al. Relation among dietary habits, nutrient？intakes and bone mineral density in Korean normal and obese elementary students. Korean J Community？Nutr 2006; 11(1): 14-24.
Kim HJ, Oh HM, Chon YJ, Yoon JS. Relationships between nutrient intake status and sugar-containing？food intake of elementary school students in Daegu-Kyungbook area. Korean J Community Nutr 2010;？15(5): 573-581.
Son HN, Park MJ, Han JS. A study on dietary habits and food frequency of young children who like sweets.？J Korean Diet Assoc 2009; 15(1): 10-21.
Yu OK, Park SH, Cha YS. Eating habits, eating behaviors and nutrition knowledge of higher grade？elementary school students in Jeonju area. Korean J Food Cult 2007; 22(6): 665-672.
Park YH, Kim HH, Shin KH, Shin EK, Bae IS, Lee YK. A survey on practice of nutrition education and？perception for implementing nutrition education by nutrition teacher in elementary schools. Korean J？Nutr 2006; 39(4): 403-416.
Kim EK, Kang MH, Kim EM, Hong WS. The assessment of foodservice management practices in？elementary school foodservices. J Korean Diet Assoc 1997; 3(1): 74-89.
Seo JY. A study on satisfaction of school food service and favorite food of elementary school student and？parent in Chungnam area [master's thesis]. Gongju: Kongju University; 2004.
Jun SN, Ro HK. A study on eating habits and food preference of rural elementary school students. Korean？J Diet Cult 1998; 13(1): 65-72.
Choi HJ, Seo JS. Nutrient intakes and obesity-related factors of obese children and the effect of nutrition？education program. Korean J Community Nutr 2003; 8(4): 477-484.
Jeong NY, Kim KW. Nutrition knowledge and eating behaviors of elementary school children in Seoul.？Korean J Community Nutr 2009; 14(1): 55-66.
Hong YJ. A study on relation of food ecology to obesity index of 5th grade children in Cheju city (II) -？Obesity index of children and food habit of their mothers. Korean J Diet Cult 1998; 13(2): 141-151.
Shin KO, Yoo YY, Park HS. Study on the eating habits and growth development in Korean preschool？children. Korean J Nutr 2005; 38(6): 455-464.
Korea Health Promotion Institute. Health Plan 2030, 2021-2030 [Internet]. Seoul:Korea Health？Promotion Institute; 2022 [cited 2022 Dec 9]. Available from: https://www.khealth.or.kr/board/view?menuIdMENU01320&linkId1004341.
Forster H, Walsh MC, Gibney MJ, Brennan L, Gibney ER. Personalised nutrition: the role of new dietary？assessment methods. Proc Nutr Soc 2016; 75(1): 96-105.？

상세보기
Rumpler WV, Kramer M, Rhodes DG, Moshfegh AJ, Paul DR. Identifying sources of reporting error using？measured food intake. Eur J Clin Nutr 2008; 62(4): 544-552.

상세보기

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