Journal List > J Nutr Health > v.46(6) > 1081319

J Nutr Health. 2013 Dec;46(6):531-539. Korean.
Published online December 31, 2013.  https://doi.org/10.4163/jnh.2013.46.6.531
© 2013 The Korean Nutrition Society
The study of metabolic risk factors and dietary intake in adolescent children by the status of mothers' metabolic syndrome: Using the data from 2007-2010 Korean National Health and Nutrition Examination Survey
SoYeon Kwon,1 Mijung Park,2 and YoonJu Song1
1Major of Food and Nutrition, School of Human Ecology, The Catholic University of Korea, Bucheon 420-743, Korea.
2Department of Pediatrics, Sanggye Paik Hospital, Inje University College of Medicine, Seoul 139-707, Korea.

To whom correspondence should be addressed. (Email: yjsong@catholic.ac.kr )
Received June 24, 2013; Revised July 11, 2013; Accepted October 27, 2013.

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.


Abstract

The prevalence of metabolic syndrome (MetS) in Korea has been increasing in adults, as well as in adolescents. Recently the prevalence of MetS in children has been reported to strongly link that of MetS in parents. Families are known to share similar food environment so that eating habits of parents closely resemble that of the children's. Therefore, the aim of this study to examine metabolic risk factors and dietary intake in children by with respect to mother's metabolic syndrome, based on the data from Korean National Health and Nutrition Examination Survey (KNHANES) 2007-2010. Using the household variable and the eldest child per household, 1,341 pairs of mothers and children were selected. The mothers were defined by MetS criteria, and then the children were classified into the following three groups in accordance to the mothers' MetS; children whose mothers had none, 1-2, and 3 or more components of MetS. All dietary data were evaluated using the data from a food frequency questionnaire. The mean age was 42.6 ± 4.2 years for the mothers, and 14.9 ± 2.0 years for the children. Children whose mothers had 3 or more components of MetS showed a significantly higher prevalence of overweight and higher level of fasting triglyceride; conversely, they showed a lower level of serum HDL-cholesterol compared to the other two groups. Regarding an agreement of food consumption between the mothers and children, most food groups showed high agreement, except in the category of beverages. Regarding the dietary habits and family meals, children whose mothers had 3 or more components of MetS were more likely to skip breakfast and less likely to have family meals at breakfast or snack. In conclusion, the children's metabolic risk factors and dietary factors were different with respect to the status of mothers' MetS. Further studies are necessary to examine the causal effect of family environment in children's health status.

Keywords: metabolic syndrome; mothers; adolescent; family meals

Figures


Fig. 1
Flow diagram regarding the selection of study subjects.
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Tables


Table 1
General and metabolic syndrome characteristics in mothers and adolescent children
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Table 2
The basic and metabolic syndrome characteristics in adolescent children by the status of mothers' metabolic syndrome
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Table 3
The agreement of food consumption frequency between mothers and children
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Table 4
Food consumption of children by the status of mothers' metabolic syndrome
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Table 5
The dietary behaviors of children by the status of mothers' metabolic syndrome
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Notes

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (NRF-2013R1A1A3010359) and also supported by the Research Fund, 2013 of the Catholic University of Korea

References
1. Kim DM, Ahn CW, Nam SY. Prevalence of obesity in Korea. Obes Rev 2005;6(2):117–121.
2. Jung HJ, Song WO, Paik HY, Joung H. Dietary characteristics of macronutrient intake and the status of metabolic syndrome among Koreans. Korean J Nutr 2011;44(2):119–130.
3. Choi YJ, Kim HC, Kim HM, Park SW, Kim J, Kim DJ. Prevalence and management of diabetes in Korean adults: Korea National Health and Nutrition Examination Surveys 1998-2005. Diabetes Care 2009;32(11):2016–2020.
4. Park HS, Park JY, Cho SI. Familial aggregation of the metabolic syndrome in Korean families with adolescents. Atherosclerosis 2006;186(1):215–221.
5. Lim S, Shin H, Song JH, Kwak SH, Kang SM, Won Yoon J, Choi SH, Cho SI, Park KS, Lee HK, Jang HC, Koh KK. Increasing prevalence of metabolic syndrome in Korea: the Korean National Health and Nutrition Examination Survey for 1998-2007. Diabetes Care 2011;34(6):1323–1328.
6. Chung JY, Kang HT, Shin YH, Lee HR, Park BJ, Lee YJ. Prevalence of metabolic syndrome in children and adolescents - the recent trends in South Korea. J Pediatr Endocrinol Metab 2013;26(1-2):105–110.
7. Cook S, Weitzman M, Auinger P, Nguten M, Dietz WH. Prevalence of a metabolic syndrome phenotype in adolescent: findings from the third National Health and Nutrition Examination Survey 1998-1994. Arch Prediatr Adolesc Med 2003;157:821–827.
8. Kim JH, Lee GR, Chong CU. Metabolic syndrome and associated factors in Korean adolescents: 1998~2008 Korean National Health and Nutrition Examination Survey. Korean J Orient Prev Med 2011;15(1):89–98.
9. Baik I. Studies on dietary patterns in the prevention of metabolic syndrome. Food Ind Nutr 2011;16(2):45–48.
10. Choi MK, Jun YS, Bae YJ, Sung CJ. A study on nutrient intakes and blood parameters of adult men and women with metabolic syndrome. J Korean Soc Food Sci Nutr 2007;36(3):311–317.
11. Esmaillzadeh A, Kimiagar M, Mehrabi Y, Azadbakht L, Hu FB, Willett WC. Fruit and vegetable intakes, C-reactive protein, and the metabolic syndrome. Am J Clin Nutr 2006;84(6):1489–1497.
12. Kim J. Dairy food consumption is inversely associated with the risk of the metabolic syndrome in Korean adults. J Hum Nutr Diet 2013;26 Suppl 1:171–179.
13. Park J, Kweon S, Kim Y, Jang MJ, Oh K. Dietary behaviors related to metabolic syndrome in Korean adults. Korean J Community Nutr 2012;17(5):664–675.
14. Kim YJ, Lee JG, Yi YH, Lee SY, Jung DW, Park SK, Cho YH. The influence of breakfast size to metabolic risk factors. J Life Sci 2010;20(12):1812–1819.
15. Smith KJ, Gall SL, McNaughton SA, Blizzard L, Dwyer T, Venn AJ. Skipping breakfast: longitudinal associations with cardiometabolic risk factors in the Childhood Determinants of Adult Health Study. Am J Clin Nutr 2010;92(6):1316–1325.
16. Kim MS. In: Effects of mothers' dietary behavior on growth and nutrient intakes of elementary school children [dissertation]. Seoul: Kukmin University; 2006.
17. Jung JY. In: Relationship between eating behaviors of parents and their adolescent children [dissertation]. Iksan: Wonkwang University; 2010.
18. Timperio A, Salmon J, Ball K, Baur LA, Telford A, Jackson M, Salmon L, Crawford D. Family physical activity and sedentary environments and weight change in children. Int J Pediatr Obes 2008;3(3):160–167.
19. MacFarlane A, Cleland V, Crawford D, Campbell K, Timperio A. Longitudinal examination of the family food environment and weight status among children. Int J Pediatr Obes 2009;4(4):343–352.
20. Bauer KW, Berge JM, Neumark-Sztainer D. The importance of families to adolescents’ physical activity and dietary intake. Adolesc Med State Art Rev 2011;22(3):601–613. xiii.
21. Shin A, Lim SY, Sung J, Shin HR, Kim J. Dietary intake, eating habits, and metabolic syndrome in Korean men. J Am Diet Assoc 2009;109(4):633–640.
22. Na DW, Jeong E, Noh EK, Chung JS, Choi CH, Park J. Dietary factors and metabolic syndrome in middle-age men. J Agric Med Community Health 2010;35(4):383–394.
23. You MA, Son YJ. Prevalence of metabolic syndrome and associated risk factors among Korean adolescents: analysis from the Korean national survey. Asia Pac J Public Health 2012;24(3):464–471.
24. Kim HM, Park J, Kim HS, Kim DH. Prevalence of the metabolic syndrome in Korean adolescents aged 12-19 years from the Korean National Health and Nutrition Examination Survey 1998 and 2001. Diabetes Res Clin Pract 2007;75(1):111–114.
25. Yoo EG, Park SS, Oh SW, Nam GB, Park MJ. Strong parent-offspring association of metabolic syndrome in Korean families. Diabetes Care 2012;35(2):293–295.
26. Lee MH, Kim HC, Thomas GN, Ahn SV, Hur NW, Choi DP, Suh I. Familial concordance of metabolic syndrome in Korean population--Korean National Health and Nutrition Examination Survey 2005. Diabetes Res Clin Pract 2011;93(3):430–436.
27. Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, Gordon DJ, Krauss RM, Savage PJ, Smith SC Jr, Spertus JA, Costa F. American Heart Association; National Heart, Lung, and Blood Institute. Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation 2005;112(17):2735–2752.
28. Lee SY, Park HS, Kim DJ, Han JH, Kim SM, Cho GJ, Kim DY, Kwon HS, Kim SR, Lee CB, Oh SJ, Park CY, Yoo HJ. Appropriate waist circumference cutoff points for central obesity in Korean adults. Diabetes Res Clin Pract 2007;75(1):72–80.
29. Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 1985;28(7):412–419.
30. Hong S, Song Y, Lee KH, Lee HS, Lee M, Jee SH, Joung H. A fruit and dairy dietary pattern is associated with a reduced risk of metabolic syndrome. Metabolism 2012;61(6):883–890.
31. Pearson N, Biddle SJ, Gorely T. Family correlates of fruit and vegetable consumption in children and adolescents: a systematic review. Public Health Nutr 2009;12(2):267–283.
32. Bowman SA, Gortmaker SL, Ebbeling CB, Pereira MA, Ludwig DS. Effects of fast-food consumption on energy intake and diet quality among children in a national household survey. Pediatrics 2004;113(1 Pt 1):112–118.
33. Neumark-Sztainer D, Hannan PJ, Story M, Croll J, Perry C. Family meal patterns: associations with sociodemographic characteristics and improved dietary intake among adolescentadolescents. J Am Diet Assoc 2003;103(3):317–322.