Hyae Min Gu; Jong Park; So Yeon Ryu

doi:10.5720/kjcn.2018.23.3.193

Articles

Page Path: HOME > Korean J Community Nutr > Volume 23(3); 2018 > Article

Research Article
Health Behavior Factors Associated with Sugar-sweetened Beverage Intake among Adolescents: Hyae Min Gu, Jong Park, So Yeon Ryu; Korean Journal of Community Nutrition 2018;23(3):193-201.
DOI: https://doi.org/10.5720/kjcn.2018.23.3.193
Published online: June 30, 2018

¹Department of Health Science, Graduate School of Chosun University, Korea.

²Department of Preventive Medicine, College of Medicine, Chosun University, Korea.

Corresponding author: Jong Park. Department of Preventive Medicine, College of Medicine, Chosun University, 309 Pilmundae-ro, Dong-gu, Gwangju 61452, Korea. Tel: (062) 230-6482, Fax: (062) 225-8293, jpark@chosun.ac.kr

• Received: April 11, 2018 • Revised: June 12, 2018 • Accepted: June 12, 2018

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.

240 Views
1 Download
4 Crossref

Full Article

Download PDF

Abstract
Acknowledgments
Acknowledgments
REFERENCES

Abstract

Objectives
This study was conducted to measure the intake rate of SSBs (sugar sweetened beverages) and examine the relationship between health behavior factors and SSBs intake by adolescents.
Methods
This study used data from the 2016 Korea Youth Risk Behavior Web-based Survey, which included 65,528 study participants. SSBs intake frequency was measured by asking respondents if they consumed soda, high-caffeinated beverages, and sugary drinks during the previous week. Type of intake was categorized into three groups according to the number of consumed drinks [SSBs (0): None; SSBs (1–2): 1 or 2 consumed; SSBs (3): 3 consumed]. Multinomial logistic regression analysis was used to examine health behaviors that affected SSBs consumption.
Results
Increased SSBs intake was significantly correlated with current smoking (OR=2.4, 95% CI=1.82–3.17), current drinking (OR=2.13, 95% CI=1.82–2.51), sedentary time increase (OR=1.31, 95% CI=1.15–1.49), three days or more physical activity per week (OR=1.12, 95% CI=1.02–1.24), <8 hours sleep (OR=1.6, 95% CI=1.43–1.78), increased internet usage time (OR=1.44, 95% CI=1.25–1.65).
Conclusions
Sugar-sweetened beverages intake by Korean adolescents was associated with health behaviors such as smoking, drinking, sedentary time increase, more physical activity, poor sleeping time, and increased internet use time. Based on these results, it is necessary to recognize the influence of SSBs intake and to intervene to reduce consumption of SSBs.
Keywords: sugar-sweetened beverages; adolescents; health behaviors

Acknowledgments

This research was supported by research fund from Chosun University, 2017.

REFERENCES

1. Centers for Disease Control and Prevention. The CDC guide to strategies for reducing the consumption of sugar-sweetened beverages. Atlanta: CDC; 2010.
2. Ha KH, Joung HJ, Song YJ. Intake of dietary sugar and its influence on chronic disease in the Korean population. Food Sci Ind 2016; 49(3): 2-11.
3. Lee HS. Sugar database compilation for commonly consumed foods. Chungbuk: Korea Health Industry Development Institute; 2015.
4. World Health Organization. Guideline: sugars intake for adults and children. Geneba: World Health Organization; 2015.
5. Moynihan P, Petersen PE. Diet, nutrition and the prevention of dental diseases. Public Health Nutr 2004; 7(1a): 201-226.Article PubMed
6. Meyer BD, Lee JY. The confluence of sugar, dental caries, and health policy. J Dent Res 2015; 94(10): 1338-1340.PubMed
7. Malik VS, Popkin BM, Bray GA, Després JP, Hu FB. Sugar-sweetened beverages, obesity, type 2 diabetes mellitus, and cardiovascular disease risk. Circulation 2010; 121(11): 1356-1364.PubMed PMC
8. Funtikova AN, Subirana I, Gomez SF, Fitó M, Elosua R, Benítez-Arciniega AA. Soft drink consumption is positively associated with increased waist circumference and 10-year incidence of abdominal obesity in Spanish adults. J Nutr 2015; 145(2): 328-334.PubMed
9. Shearrer GE, Daniels MJ, Toledo-Corral CM, Weigensberg MJ, Spruijt-Metz D, Davis JN. Associations among sugar sweetened beverage intake, visceral fat, and cortisol awakening response in minority youth. Physiol Behav 2016; 167: 188-193.Article PubMed PMC
10. Bucher Della Torre S, Keller A, Depeyre JL, Kruseman M. Sugar-sweetened beverages and obesity risk in children and adolescents: a systematic analysis on how methodological quality may influence conclusions. J Acad Nutr Diet 2016; 116(4): 638-659.PubMed
11. Van Rompay MI, McKeown NM, Goodman E, Eliasziw M, Chomitz VR, Gordon CM. Sugar-sweetened beverage intake is positively associated with baseline triglyceride concentrations, and changes in intake are inversely associated with changes in HDL cholesterol over 12 months in a multi-ethnic sample of children. J Nutr 2015; 145(10): 2389-2395.PubMed PMC
12. Zhang Z, Gillespie C, Welsh JA, Hu FB, Yang Q. Usual intake of added sugars and lipid profiles among the US adolescents: National Health and Nutrition Examination Survey, 2005–2010. J Adolesc Health 2015; 56(3): 352-359.PubMed PMC
13. Welsh JA, Sharma A, Cunningham SA, Vos MB. Consumption of added sugars and indicators of cardiovascular disease risk among US adolescents. Circulation 2011; 123(3): 249-257.PubMed PMC
14. Rodríguez LA, Madsen KA, Cotterman C, Lustig RH. Added sugar intake and metabolic syndrome in US adolescents: cross-sectional analysis of the National Health and Nutrition Examination Survey 2005–2012. Public Health Nutr 2016; 19(13): 2424-2434.PubMed PMC
15. Kenney EL, Gortmaker SL. United States adolescents' television, computer, videogame, smartphone, and tablet use: associations with sugary drinks, sleep, physical activity, and obesity. J Pediatr 2017; 182: 144-149.PubMed
16. Ranjit N, Evans MH, Byrd-Williams C, Evans AE, Hoelscher DM. Dietary and activity correlates of sugar-sweetened beverage consumption among adolescents. Pediatrics 2010; 126(4): e754-e761.PubMed
17. Scully M, Morley B, Niven P, Crawford D, Pratt IS, Wakefield M. Factors associated with high consumption of soft drinks among Australian secondary-school students. Public Health Nutr 2017; 20(13): 2340-2348.PubMed PMC
18. Brug J, van Stralen MM, te Velde SJ, Chinapaw MJ, De Bourdeaudhuij I, Lien N. Differences in weight status and energy-balance related behaviors among schoolchildren across Europe: the ENERGY-project. PLoS One 2012; 7(4): e34742.PubMed PMC
19. Vereecken CA, Inchley J, Subramanian S, Hublet A, Maes L. The relative influence of individual and contextual socio-economic status on consumption of fruit and soft drinks among adolescents in Europe. Eur J Public Health 2005; 15(3): 224-232.
20. Doo YT. Health behavior and status associated with junk food consumption in adolescents: Data from the Korea youth risk behavior web-based survey. Korean J Health Educ Promot 2016; 33(2): 15-25.
21. Shin EK, Doo YT. The sugars intake through processed foods and its related factors in college students. J Agric Med Community Health 2016; 41(2): 85-97.
22. Yun HS. Factors affecting energy drinks consumption among adolescents. J Korean Soc Sch Health 2016; 29(3): 218-225.
23. Ko I. Survey on energy drink intake of middle school students and recognition of the risk of high caffeine intake [master's thesis]. Kyung Hee University; 2013.
24. Costa BM, Hayley A, Miller P. Adolescent energy drink consumption: an Australian perspective. Appetite 2016; 105: 638-642.PubMed
25. Park S, Blanck HM, Sherry B, Brener N, O'Toole T. Factors associated with sugar-sweetened beverage intake among United States high school students. J Nutr 2012; 142(2): 306-312.PubMed
26. Lee SJ, Kim HC, Kim MR. Analysis on intake of energy drinks of high school students in Gyeoungbuk region. J East Asian Soc Diet Life 2014; 24(6): 924-932.
27. Oh JW, Jang JS. Associating factors on energy drinks intake of some middle school students in Incheon area. Korean J Food Nutr 2017; 30(3): 618-626.
28. Terry-McElrath YM, O'Malley PM, Johnston LD. Energy drinks, soft drinks, and substance use among US secondary school students. J Addict Med 2014; 8(1): 6.PubMed PMC
29. Oteri A, Salvo F, Caputi AP, Calapai G. Intake of energy drinks in association with alcoholic beverages in a cohort of students of the School of Medicine of the University of Messina. Alcohol Clin Exp Res 2007; 31(10): 1677-1680.PubMed
30. Attila S, Çakir B. Energy-drink consumption in college students and associated factors. Nutrition 2011; 27(3): 316-322.
31. Shin KO, An CH, Hwang HJ, Choi KS, Chung KH. Effect of smoking and drinking habits on the nutrient intakes and health of middle and high school boy students. J Korean Soc Food Sci Nutr 2009; 38(6): 694-708.
32. Kim YS. Validation of a Korean version of the POSIT PRS to measure peer relations of adolescents who drink alcohol or smoke cigarettes. Ment Health Soc Work 2015; 43(1): 198-224.
33. Ryu SH. Energy drink consumption status and associated factors among male and female high school students in Deajon area. J Korean Soc Food Nutr 2016; 29(6): 899-910.
34. Keast RS, Swinburn BA, Sayompark D, Whitelock S, Riddell LJ. Caffeine increases sugar-sweetened beverage consumption in a free-living population: a randomised controlled trial. Br J Nutr 2015; 113(2): 366-371.PubMed PMC
35. Kim H, Pae MK. 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.
36. Gebremariam MK, Chinapaw MJ, Bringolf-Isler B, Bere E, Kovacs E, Verloigne M. Screen-based sedentary time: Association with soft drink consumption and the moderating effect of parental education in European children: the ENERGY study. PLoS One 2017; 12(2): e0171537.
37. Jo AR, Khil JM. Relationship of TV watching, internet usage and dietary habits of elementary school children in Gwangju and Jeonnam area. J Korean Soc Food Cult 2010; 25(2): 160-169.
38. Ahn SH, Lee EJ, Jeong KH. An analysis relationship between computer using habit and sleeping and eating habits in case of children. J Korean Assoc Comput Educ 2013; 16(6): 103-109.
39. Larson N, DeWolfe J, Story M, Neumark-Sztainer D. Adolescent consumption of sports and energy drinks: linkages to higher physical activity, unhealthy beverage patterns, cigarette smoking, and screen media use. J Nutr Educ Behav 2014; 46(3): 181-187.PubMed PMC
40. Kumar G, Park S, Onufrak S. Perceptions about energy drinks are associated with energy drink intake among US youth. Am J Health Promot 2015; 29(4): 238-244.PubMed
41. Ra JS, Yun HK, Kim HS, Ryu JL. Associated factors on energy drink consumption among Korean high school students. J Korean Soc Sch Health 2017; 30(1): 48-58.

Table 1

Social demography characteristics and sugar sweetened beverage consumption

Estimated % (%SE)

Table 2

Health behavior characteristics and sugar sweetened beverage consumption

1) Exercised times directly during physical education

2) Average amount of sleep a week

Estimated % (%SE)

Table 3

Odds ratio (OR) and 95% confidence intervals (CI) from multinominal logistic regression for the relation between health behavior characteristics and sugar sweetened beverage consumption

1) Average amount of sleep a week

Adjusted for sex, Type of Grade, Academic Performance, Household Income, Live with family, Weekly allowance, Eating breakfast (≥5 d/week), Fruit consume (≥1 t/day), Vegetable consume (≥3 t/day), Fast-food consume (≥3 d/week), Walking day (≥10 min consecutively), Physical education

Figure & Data

REFERENCES

Citations

Citations to this article as recorded by

Health-Related Behaviors and Perceived Health Status According to Water and Sugar-Sweetened Beverage Intake in Korean Adolescents
Yoon Sun Kim, Hyun Ja Kim
Nutrients.2024; 16(17): 3038. CrossRef
Dietary behavior of school-going adolescents in Bhutan: Findings from the global school-based student health survey in 2016
Tshering Choeda, Kathiresan Jeyashree, Soundappan Kathirvel, Thinley Dorji, Kinley Dorjee, Karma Tenzin, Sangay Thinley, Tashi Tenzin, Mongal Singh Gurung
Nutrition.2021; 90: 111290. CrossRef
Association between Sugar-Sweetened Beverage Intake and Dietary Quality using Nutritional Quotient among Adults in Daegu, Korea
Kilye Kim, Yeon-Kyung Lee
Korean Journal of Community Nutrition.2021; 26(5): 350. CrossRef
Sugar-sweetened beverage consumption and influencing factors in Korean adolescents: based on the 2017 Korea Youth Risk Behavior Web-based Survey
Ayoung Kim, Jinhee Kim, Seunghee Kye
Journal of Nutrition and Health.2018; 51(5): 465. CrossRef

PubReader

Cite

CITE: export Copy Download Format; Close

Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format:

RIS — For EndNote, ProCite, RefWorks, and most other reference management software
BibTeX — For JabRef, BibDesk, and other BibTeX-specific software

Include:

Citation for the content below
Citation and abstract for the content below

Health Behavior Factors Associated with Sugar-sweetened Beverage Intake among Adolescents

Korean J Community Nutr. 2018;23(3):193-201. Published online June 30, 2018

DOI: https://doi.org/10.5720/kjcn.2018.23.3.193

XML Download

We recommend

Health Behavior Factors Associated with Sugar-sweetened Beverage Intake among Adolescents

Table 1

Social demography characteristics and sugar sweetened beverage consumption

Estimated % (%SE)

Table 2

Health behavior characteristics and sugar sweetened beverage consumption

1) Exercised times directly during physical education

2) Average amount of sleep a week

Estimated % (%SE)

Table 3

Odds ratio (OR) and 95% confidence intervals (CI) from multinominal logistic regression for the relation between health behavior characteristics and sugar sweetened beverage consumption

1) Average amount of sleep a week

Table 1 Social demography characteristics and sugar sweetened beverage consumption

Estimated % (%SE)

Table 2 Health behavior characteristics and sugar sweetened beverage consumption

1) Exercised times directly during physical education

2) Average amount of sleep a week

Estimated % (%SE)

Table 3 Odds ratio (OR) and 95% confidence intervals (CI) from multinominal logistic regression for the relation between health behavior characteristics and sugar sweetened beverage consumption

1) Average amount of sleep a week