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Analyzing the distinguishing factors that affect childhood obesity in South Korea |
So Jung Yang1, Hun-Sung Kim1,2, Kun-Ho Yoon1,2( ) |
1. Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea 2. Division of Endocrinology and Metabolism, Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea |
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Abstract Understanding obesity in children is crucial because it can lead to adulthood obesity and result in fatal chronic diseases. Distinctive factors associated with obesity in adults have been described, but distinctive factors related to children remain unclear. We analyzed the correlation between the percentage of body mass index and lifestyle habits by conducting surveys on physical, nutritional, and psychological factors, and we used annual physical examination data to compare different traits among elementary school students (n = 197) and middle school students (n = 461). Our study revealed that the computing hours in elementary school students with overweight and obesity were significantly correlated with the percentage of body mass index (r = 0.29 on school days and r = 0.35 on days off, all P<0.05). No statistically significant difference was found (all P>0.05) in the computing hours of middle school students with overweight and obesity. Childhood obesity can cause depression and reduce children’s quality of life because of their distorted body perception. In conclusion, physical factors directly affecting childhood obesity and psychological and environmental factors surrounding a child should be considered.
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Keywords
screen time
quality of life
eating habits
childhood obesity
percentage of body mass index
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Corresponding Author(s):
Kun-Ho Yoon
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Just Accepted Date: 08 October 2018
Online First Date: 08 November 2018
Issue Date: 03 December 2018
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1 |
JM Friedman. Obesity: causes and control of excess body fat. Nature 2009; 459(7245): 340–342
https://doi.org/10.1038/459340a
pmid: 19458707
|
2 |
RH Eckel, SE Kahn, E Ferrannini, AB Goldfine, DM Nathan, MW Schwartz, RJ Smith, SR Smith. Obesity and type 2 diabetes: what can be unified and what needs to be individualized? J Clin Endocrinol Metab 2011; 96(6): 1654–1663
https://doi.org/10.1210/jc.2011-0585
pmid: 21602457
|
3 |
V Kotsis, S Stabouli, S Papakatsika, Z Rizos, G Parati. Mechanisms of obesity-induced hypertension. Hypertens Res 2010; 33(5): 386–393
https://doi.org/10.1038/hr.2010.9
pmid: 20442753
|
4 |
B Klop, JWF Elte, MC Cabezas. Dyslipidemia in obesity: mechanisms and potential targets. Nutrients 2013; 5(4): 1218–1240
https://doi.org/10.3390/nu5041218
pmid: 23584084
|
5 |
HB Hubert, M Feinleib, PM McNamara, WP Castelli. Obesity as an independent risk factor for cardiovascular disease: a 26-year follow-up of participants in the Framingham Heart Study. Circulation 1983; 67(5): 968–977
https://doi.org/10.1161/01.CIR.67.5.968
pmid: 6219830
|
6 |
World Health Organization. 2016. Obesity and overweight_Factsheet. [ONLINE] Available at: (Accessed September 5, 2017)
|
7 |
Times. 2016. The world’s children are getting fatter, WHO says. [ONLINE]
|
8 |
MK Crocker, JA Yanovski. Pediatric obesity: etiology and treatment. Endocrinol Metab Clin North Am 2009; 38(3): 525–548
https://doi.org/10.1016/j.ecl.2009.06.007
pmid: 19717003
|
9 |
G Kalra, A De Sousa, S Sonavane, N Shah. Psychological issues in pediatric obesity. Ind Psychiatry J 2012; 21(1): 11–17
https://doi.org/10.4103/0972-6748.110941
pmid: 23766572
|
10 |
E Pila, CM Sabiston, J Brunet, AL Castonguay, J O’Loughlin. Do body-related shame and guilt mediate the association between weight status and self-esteem? J Health Psychol 2015; 20(5): 659–669
https://doi.org/10.1177/1359105315573449
pmid: 25903252
|
11 |
TJ Suchomel, S Nimphius, MH Stone. The importance of muscular strength in athletic performance. Sports Med 2016; 46(10): 1419–1449
https://doi.org/10.1007/s40279-016-0486-0
pmid: 26838985
|
12 |
L Bowen, AE Taylor, R Sullivan, S Ebrahim, S Kinra, KVR Krishna, B Kulkarni, Y Ben-Shlomo, U Ekelund, JCK Wells, H Kuper. Associations between diet, physical activity and body fat distribution: a cross sectional study in an Indian population. BMC Public Health 2015; 15(1): 281
https://doi.org/10.1186/s12889-015-1550-7
pmid: 25885589
|
13 |
Chungju City. 2011. Overview of Chungju_Vision_Basic status. [ONLINE]
|
14 |
The Korean Ministry of Education. 2009. Manual for measuring the PAPS (2009 revised version). [ONLINE] (in Korean)
|
15 |
RJ Kuczmarski, CL Ogden, SS Guo, LM Grummer-Strawn, KM Flegal, Z Mei, R Wei, LR Curtin, AF Roche, CL Johnson. 2000 CDC Growth Charts for the United States: methods and development. Vital Health Stat 11 2002; 246(246): 1–190
pmid: 12043359
|
16 |
American Heart Association. 2013. BMI in Children. [ONLINE]
|
17 |
TA Brown, TF Cash, PJ Mikulka. Attitudinal body-image assessment: factor analysis of the Body-Self Relations Questionnaire. J Pers Assess 1990; 55(1-2): 135–144
https://doi.org/10.1080/00223891.1990.9674053
pmid: 2231236
|
18 |
SM Cho, AR T Koh. The effects of sociocultural attitude toward appearance and body images on clothing benefits sought—the comparison of age difference in female adolescents. J Korean Soc Cloth Text 2001; 25(7): 1227–1238 (in Korean)
|
19 |
SG Lee, AR Koh. Formation models of body image, self-esteem, and clothing attitudes as related pubertal physical growth. J Korean Soc Cloth Text 2005; 29(3-4): 438–448 (in Korean)
|
20 |
BJ Jon. A study on the possibility of measuring self-indulgence. The Collection of Yonsei treatises 1974; 11: 107–129 (in Korean)
|
21 |
M Rosenberg. Society and adolescent self-image. Princeton, NJ: Princeton University Press, 1965
|
22 |
TM Achenbach, CS Edelbrock. Youth Self-report and Profile. University of Vermont, Department of Psychiatry, 1991
|
23 |
JW Varni, M Seid, PS Kurtin. PedsQL 4.0: reliability and validity of the Pediatric Quality of Life Inventory version 4.0 generic core scales in healthy and patient populations. Med Care 2001; 39(8): 800–812
https://doi.org/10.1097/00005650-200108000-00006
pmid: 11468499
|
24 |
ES Choi. Research: Psychometric test of the PedsQLTM 4.0 generic core scale in Korean adolescents. J Nurs Query 2005; 14: 166–182 (in Korean)
|
25 |
KM Chung, SK Yang. A study for the standardization of the Korean version of the pediatric quality of life inventory (PedsQLTM) 4.0 generic core scales, self-report. Korean J Health Psychol 2012; 17(3): 677–695 (in Korean)
https://doi.org/10.17315/kjhp.2012.17.3.007
|
26 |
Z Chaudhry, S Siddiqui. Health related quality of life assessment in Pakistani paediatric cancer patients using PedsQL™ 4.0 generic core scale and PedsQL™ cancer module. Health Qual Life Outcomes 2012; 10(1): 52
https://doi.org/10.1186/1477-7525-10-52
pmid: 22606940
|
27 |
AJ Venn, RJ Thomson, MD Schmidt, VJ Cleland, BA Curry, HC Gennat, T Dwyer. Overweight and obesity from childhood to adulthood: a follow-up of participants in the 1985 Australian Schools Health and Fitness Survey. Med J Aust 2007; 186(9): 458–460
pmid: 17484707
|
28 |
OECD.org (2017). Obesity Update—OECD. [online]
|
29 |
FW Booth, CK Roberts, MJ Laye. Lack of exercise is a major cause of chronic diseases. Compr Physiol 2012; 2(2): 1143–1211
pmid: 23798298
|
30 |
K Cuypers, K Kvaløy, G Bratberg, K Midthjell, J Holmen, TL Holmen. Being normal weight but feeling overweight in adolescence may affect weight development into young adulthood—an 11-year follow-up: the HUNT Study, Norway. J Obes 2012; 2012: 601872
https://doi.org/10.1155/2012/601872
pmid: 22666556
|
31 |
DK Voelker, JJ Reel, C Greenleaf. Weight status and body image perceptions in adolescents: current perspectives. Adolesc Health Med Ther 2015; 6: 149–158
pmid: 26347007
|
32 |
SJ Kim, EH Wee. Effect of sociocultural attitude toward appearance and appearance comparison on appearance management behavior of adolescents. J Korean Soc Cloth Text 2015; 39(1): 1–14 (in Korean)
https://doi.org/10.5850/JKSCT.2015.39.1.1
|
33 |
L Korn, E Gonen, Y Shaked, M Golan. Health perceptions, self and body image, physical activity and nutrition among undergraduate students in Israel. PLoS One 2013; 8(3): e58543
https://doi.org/10.1371/journal.pone.0058543
pmid: 23516503
|
34 |
AJ Blashill, S Wilhelm. Body image distortions, weight, and depression in adolescent boys: longitudinal trajectories into adulthood. Psychol Men Masc 2014; 15(4): 445–451
https://doi.org/10.1037/a0034618
pmid: 25383047
|
35 |
The Population Association of Korea. A Study on Time Structure of Daily Lives of Korean: Based on 2014 Korean Time Use Survey Data. Korea: Statistics Korea, 2015: 66–91
|
36 |
EF Gross. Adolescent Internet use: what we expect, what teens report. J Appl Dev Psychol 2004; 25(6): 633–649
https://doi.org/10.1016/j.appdev.2004.09.005
|
37 |
HT Kang, HR Lee, JY Shim, YH Shin, BJ Park, YJ Lee. Association between screen time and metabolic syndrome in children and adolescents in Korea: the 2005 Korean National Health and Nutrition Examination Survey. Diabetes Res Clin Pract 2010; 89(1): 72–78
https://doi.org/10.1016/j.diabres.2010.02.016
pmid: 20299120
|
38 |
W Byun, M Dowda, RR Pate. Associations between screen-based sedentary behavior and cardiovascular disease risk factors in Korean youth. J Korean Med Sci 2012; 27(4): 388–394
https://doi.org/10.3346/jkms.2012.27.4.388
pmid: 22468102
|
39 |
AM Morris, DK Katzman. The impact of the media on eating disorders in children and adolescents. Paediatr Child Health 2003; 8(5): 287–289
https://doi.org/10.1093/pch/8.5.287
pmid: 20020030
|
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