, Inho Park2
, Soon-Woo Park1
1Department of Preventive Medicine, Daegu Catholic University School of Medicine, Daegu, Korea
2Department of Statistics & Data Science, Pukyong National University College of Information Technology and Convergence, Busan, Korea
© 2026, Korean Society of Epidemiology
This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Conflict of interest
The authors have no conflicts of interest to declare for this study.
Funding
This research was supported by the Korea Disease Control and Prevention Agency (No. 2019-E3415-00, 2019-E3415-01, 2021-12-102, 2022-12-101, 2023-12-102).
Acknowledgements
The authors are grateful to all participating panelists and their families for their continued involvement in the Korean Youth Health Behavior Panel Survey. We also thank Hankook Research for their assistance in survey administration and data collection.
Author contributions
Conceptualization: Hwang JH, Park SW. Data curation: Hwang JH, Park I. Formal analysis: Hwang JH. Funding acquisition: Hwang JH, Park SW. Methodology: Hwang JH, Park I, Park SW. Project administration: Hwang JH. Visualization: Hwang JH. Writing – original draft: Hwang JH. Writing – review & editing: Hwang JH, Park I, Park SW.
| Classification | n |
Unweighted % |
p-value | |
|---|---|---|---|---|
| Participants (n=4,141)1 | Non-participants (n=910) | |||
| Sex | 0.009 | |||
| Male | 2,634 | 83.3 | 16.7 | |
| Female | 2,417 | 80.5 | 19.5 | |
| Subjective academic performance | 0.141 | |||
| High | 687 | 83.7 | 16.3 | |
| Upper-middle | 1,944 | 82.0 | 18.0 | |
| Middle | 2,053 | 82.2 | 17.8 | |
| Lower-middle | 319 | 78.4 | 21.6 | |
| Low | 48 | 72.9 | 27.1 | |
| Subjective economic status | 0.002 | |||
| High | 573 | 77.8 | 22.2 | |
| Upper-middle | 1,340 | 80.2 | 19.8 | |
| Middle | 2,851 | 83.2 | 16.8 | |
| Lower-middle | 256 | 86.3 | 13.7 | |
| Low | 31 | 90.3 | 9.7 | |
| Health behaviors | ||||
| Lifetime tobacco product use | 16 | 0.3 | 0.6 | 0.187 |
| Lifetime alcohol use (sip-based) | 1,852 | 36.9 | 35.5 | 0.418 |
| Lifetime alcohol use (drink-based) | 408 | 8.0 | 8.4 | 0.738 |
| Skipping breakfast ≥5 day/wk | 929 | 18.0 | 20.3 | 0.096 |
| Fast food consumption ≥3 times/wk | 1,061 | 21.1 | 20.8 | 0.847 |
| Physical activity for at least 60 min ≥5 times/wk | 1,516 | 30.3 | 28.6 | 0.294 |
| Classification | n | Unweighted % | Weighted % |
|---|---|---|---|
| Sex | |||
| Male | 2,634 | 52.1 | 51.5 |
| Female | 2,417 | 47.9 | 48.5 |
| Residential area | |||
| Seoul | 516 | 10.2 | 15.9 |
| Busan | 359 | 7.1 | 5.7 |
| Daegu | 301 | 6.0 | 4.9 |
| Incheon | 368 | 7.3 | 5.9 |
| Gwangju | 284 | 5.6 | 3.4 |
| Daejeon | 212 | 4.2 | 3.1 |
| Ulsan | 221 | 4.4 | 2.9 |
| Sejong | 90 | 1.8 | 0.9 |
| Gyeonggi-do | 801 | 15.9 | 28.1 |
| Gangwon-do | 210 | 4.2 | 2.9 |
| Chungcheongbuk-do | 346 | 6.9 | 3.2 |
| Chungcheongnam-do | 235 | 4.7 | 4.5 |
| Jeollabuk-do | 273 | 5.4 | 3.7 |
| Jeollanam-do | 261 | 5.2 | 3.5 |
| Gyeongsangbuk-do | 296 | 5.9 | 4.6 |
| Gyeongsangnam-do | 278 | 5.5 | 6.7 |
| Subjective academic performance | |||
| High | 687 | 13.6 | 14.3 |
| Upper-middle | 1,944 | 38.5 | 38.9 |
| Middle | 2,053 | 40.7 | 40.2 |
| Lower-middle | 319 | 6.3 | 5.8 |
| Low | 48 | 1.0 | 0.9 |
| Subjective economic status | |||
| High | 573 | 11.3 | 10.9 |
| Upper-middle | 1,340 | 26.5 | 26.7 |
| Middle | 2,851 | 56.4 | 56.4 |
| Lower-middle | 256 | 5.1 | 5.4 |
| Low | 31 | 0.6 | 0.6 |
| Health behaviors | |||
| Lifetime tobacco product use | 16 | 0.3 | 0.4 |
| Lifetime alcohol use (sip-based) | 1,852 | 36.7 | 36.4 |
| Lifetime alcohol use (drink-based) | 408 | 8.1 | 7.5 |
| Skipping breakfast ≥5 day/wk | 929 | 18.4 | 17.9 |
| Fast food consumption ≥3 times/wk | 1,061 | 21.0 | 20.9 |
| Physical activity for at least 60 min ≥5 times/wk | 1,516 | 30.0 | 29.8 |
| Classification | n | Unweighted % |
p-value | |
|---|---|---|---|---|
| Participants (n=4,141) |
Non-participants (n=910) | |||
| Sex | 0.009 | |||
| Male | 2,634 | 83.3 | 16.7 | |
| Female | 2,417 | 80.5 | 19.5 | |
| Subjective academic performance | 0.141 | |||
| High | 687 | 83.7 | 16.3 | |
| Upper-middle | 1,944 | 82.0 | 18.0 | |
| Middle | 2,053 | 82.2 | 17.8 | |
| Lower-middle | 319 | 78.4 | 21.6 | |
| Low | 48 | 72.9 | 27.1 | |
| Subjective economic status | 0.002 | |||
| High | 573 | 77.8 | 22.2 | |
| Upper-middle | 1,340 | 80.2 | 19.8 | |
| Middle | 2,851 | 83.2 | 16.8 | |
| Lower-middle | 256 | 86.3 | 13.7 | |
| Low | 31 | 90.3 | 9.7 | |
| Health behaviors | ||||
| Lifetime tobacco product use | 16 | 0.3 | 0.6 | 0.187 |
| Lifetime alcohol use (sip-based) | 1,852 | 36.9 | 35.5 | 0.418 |
| Lifetime alcohol use (drink-based) | 408 | 8.0 | 8.4 | 0.738 |
| Skipping breakfast ≥5 day/wk | 929 | 18.0 | 20.3 | 0.096 |
| Fast food consumption ≥3 times/wk | 1,061 | 21.1 | 20.8 | 0.847 |
| Physical activity for at least 60 min ≥5 times/wk | 1,516 | 30.3 | 28.6 | 0.294 |
| Survey domains | 1st (2019) |
2nd (2020) |
3rd (2021) |
4th (2022) |
5th (2023) |
6th (2024) |
|---|---|---|---|---|---|---|
| Sep 2019–Jan 2020 | Jul–Dec 2020 | Jul– Dec 2021 | May–Sep 2022 | May–Nov 2023 | Apr–Oct 2024 | |
| Tobacco use | ||||||
| Lifetime tobacco product use | X | X | X | X | - | - |
| Lifetime cigarette/e-cigarette/heated tobacco product use | X | X | X | X | X | X |
| Past 30 days cigarette/e-cigarette/heated tobacco product use | X | X | X | X | X | X |
| Age at tobacco initiation | X | X | X | X | X | X |
| Reason for initiation | X | X | X | X | X | X |
| Quit attempts and quit intention | X | X | X | X | X | X |
| First type of tobacco product used | X | X | X | X | X | X |
| Flavored tobacco product use (at initiation/past 30 days) | X | X | X | X | X | X |
| Future intention to use tobacco products | X | X | X | X | X | X |
| Relative harmfulness of e-cigarettes and heated tobacco products | - | - | - | - | X | X |
| Exposure to advertising and promotion for e-cigarettes and heated tobacco products | - | - | - | - | X | X |
| Attitudes toward e-cigarettes and heated tobacco products | - | - | - | - | X | X |
| Alcohol use | ||||||
| Lifetime alcohol use (sip-based) | X | X | X | X | X | X |
| Lifetime alcohol use (drink-based) | X | X | X | X | X | X |
| Age at drinking initiation | X | X | X | X | X | X |
| Reason for initiation | X | X | X | X | X | X |
| Past 30 days drinking frequency | X | X | X | X | X | X |
| Average drinking amount | X | X | X | X | X | X |
| Future drinking intention | X | X | X | X | X | X |
| Dietary behaviors | ||||||
| Breakfast skipping | X | X | X | X | X | X |
| Fruit intake | X | X | X | X | X | X |
| Vegetable intake | X | X | X | X | X | X |
| Fast food consumption | X | X | X | X | X | X |
| Sugar-sweetened beverage consumption | X | X | X | X | X | X |
| Physical activity | ||||||
| Physical activity (≥60 min) per day | X | X | X | X | X | X |
| Vigorous physical activity | X | X | X | X | X | X |
| Muscle strengthening exercise | X | X | X | X | X | X |
| Walking duration | X | X | X | X | X | X |
| Sedentary time | X | X | X | X | X | X |
| Psychosocial factors and others | ||||||
| Perceived stress | X | X | X | X | X | X |
| Depressive symptoms | X | X | X | X | X | X |
| Smartphone use time | X | X | X | X | X | X |
| Smartphone dependency | - | - | - | - | - | X |
| Sleep duration | X | X | X | X | X | X |
| Subjective academic achievement | X | X | X | X | X | X |
| Subjective economic status | X | X | X | X | X | X |
| Self-reported height and weight | X | X | X | X | X | X |
| Additional module | ||||||
| COVID-19 related behavioral changes | - | - | X | X | - | - |
| GAD-7 | - | - | X | X | X | X |
| FAS | - | - | X | X | X | X |
| Subjective health status | - | - | - | - | X | X |
| Physician-diagnosed asthma | - | - | - | - | X | X |
| Physician-diagnosed allergic rhinitis | - | - | - | - | X | X |
Included discontinuous participants (n=277).
COVID-19, coronavirus disease 2019; GAD-7, Generalized Anxiety Disorder 7-item; FAS, Family Affluence Scale.