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Health Behavior Factors Associated with Sugar-sweetened Beverage Intake among Adolescents
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Research Article
Health Behavior Factors Associated with Sugar-sweetened Beverage Intake among Adolescents
Hyae Min Gu, Jong Parkorcid, 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

Copyright © 2018 The Korean Society of Community Nutrition

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.

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  • 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.
This research was supported by research fund from Chosun University, 2017.
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Table 1

Social demography characteristics and sugar sweetened beverage consumption

kjcn-23-193-i001.jpg

Estimated % (%SE)

Table 2

Health behavior characteristics and sugar sweetened beverage consumption

kjcn-23-193-i002.jpg

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

kjcn-23-193-i003.jpg

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

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

    Social demography characteristics and sugar sweetened beverage consumption

    Estimated % (%SE)

    Health behavior characteristics and sugar sweetened beverage consumption

    1) Exercised times directly during physical education

    2) Average amount of sleep a week

    Estimated % (%SE)

    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

    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


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