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Cohort Profile
Cohort profile: the Korean Youth Health Behavior Panel Survey (KYHPS)
Jun Hyun Hwang, Inho Park, Soon-Woo Park
Epidemiol Health. 2026;48:e2026017.   Published online April 22, 2026
DOI: https://doi.org/10.4178/epih.e2026017
  • 3,661 View
  • 93 Download
AbstractAbstract AbstractSummary PDF
Abstract
The identification of factors that predispose adolescents to adopt healthy lifestyles is essential because this developmental stage shapes long-term health trajectories. To address the lack of longitudinal data on adolescent health in Korea, the Korean Youth Health Behavior Panel Survey (KYHPS) was established in 2019. The KYHPS recruited 5,051 sixth-grade students from 260 elementary schools nationwide, excluding Jeju, and follows them annually for 10 years using a stratified multistage probability sampling design. Data were collected using tablet-assisted self-interviews, and the questionnaires were developed on the basis of the ecological model of health behaviors. The survey focused on 4 major domains—tobacco use, alcohol consumption, diet, and physical activity—along with psychosocial and contextual factors at the individual, family, peer, school, and community levels. Panel retention was 93.1% in Wave 2 and 82.0% in Wave 6. The KYHPS is the first national longitudinal survey specifically focused on adolescent health behaviors in Korea and provides a unique opportunity to examine health trajectories and their determinants across adolescence and into early adulthood, with important implications for prevention and policy.
Summary
Korean summary
청소년건강패널조사는 질병관리청이 2019년부터 전국 초등학교 6학년 5,051명을 10년간 추적하는 우리나라 최초의 청소년 건강행태 종단조사입니다. 본 조사는 흡연, 음주, 식생활, 신체활동 등 주요 건강행태와 이에 영향을 미치는 개인·가족·또래·학교·지역사회 요인을 반복적으로 측정하여 청소년기 건강행태의 변화과정과 결정요인을 규명할 수 있는 기반을 제공한다. 향후 청소년 건강정책 수립과 근거 기반 연구를 위한 핵심 자료원으로 활용될 것으로 기대된다.
Key Message
The Korean Youth Health Behavior Panel Survey (KYHPS) is the first national longitudinal study of adolescent health behaviors in Korea, conducted by the Korea Disease Control and Prevention Agency (KDCA). Since 2019, the survey has followed 5,051 sixth-grade students nationwide over a 10-year period. The KYHPS repeatedly assesses major health behaviors, including tobacco use, alcohol consumption, dietary behaviors, and physical activity, as well as individual, family, peer, school, and community factors that influence these behaviors. By providing longitudinal data on the development and determinants of adolescent health behaviors, the KYHPS serves as a valuable resource for future research and evidence-based adolescent health policy.
Brief Communication
A comparison of meta-analysis results with and without adjustment for the healthy worker effect: cancer mortality among workers in the semiconductor industry
Sung-Ho Hwang, Moon-Young Park, Won Jin Lee, Inho Park, Kimyong Hong, Donguk Park, Kyoung-Mu Lee
Epidemiol Health. 2021;43:e2021057.   Published online September 8, 2021
DOI: https://doi.org/10.4178/epih.e2021057
  • 25,644 View
  • 231 Download
  • 6 Web of Science
  • 6 Crossref
AbstractAbstract AbstractSummary PDF
Abstract
OBJECTIVES
This study compared the results of meta-analysis with and without adjustment for the healthy worker effect on the association between working in the semiconductor industry and cancer mortality.
METHODS
Six studies that reported standardized mortality ratios (SMRs) for cancers were selected for meta-analysis. Using a random-effects model, the SMR results from each study were combined for all cancers and leukemias to estimate the summary SMRs (95% confidence interval, CI). To adjust for the healthy worker effect, the relative standardized mortality ratio (rSMR=SMR<sub>x</sub>/SMR<sub>not x</sub>) were calculated using observed and expected counts for the specific cause of interest (i.e., all cancers and leukemias) and the observed and expected counts for all other causes of mortality. Then, the rSMR results were combined to estimate the summary rSMRs (95% CIs).
RESULTS
The SMRs for all causes of mortality among semiconductor industry workers ranged from 0.25 to 0.80, which reflects a significant healthy worker effect. A remarkable difference was found between the summary SMRs and the summary rSMRs. The summary SMR for all cancers was 0.70 (95% CI, 0.63 to 0.79) whereas the summary rSMR was 1.38 (95% CI, 1.20 to 1.59). The summary SMR for leukemia was 0.88 (95% CI, 0.72 to 1.07), and the summary rSMR was 1.88 (95% CI, 1.20 to 2.95).
CONCLUSIONS
Our results suggest that adjustment for the healthy worker effect (i.e., rSMR) may be useful in meta-analyses of cohort studies reporting SMRs.
Summary
Korean summary
본 연구에서는 반도체 근로자의 암사망률을 일반 인구와 비교하여 표준화사망비(SMR)를 제시한 연구를 대상으로 한 메타분석에서, summary SMR값(95% CI)과 건강근로자효과에 대해 보정한 rSMR을 산출한 후 종합한 summary rSMR값(95% CI)을 비교하였다. 모든 암의 경우 summary SMR=0.70 (0.63-0.79), summary rSMR=1.38(1.20-1.59)로 나타났으며, 백혈병의 경우 summary SMR=0.88 (0.72-1.07), summary rSMR=1.88(1.20-2.95)로 나타났다. 본 연구결과는 SMR 연구를 종합하는 메타분석 연구에서 rSMR과 같은 건강근로자효과에 대해 보정하는 방법론을 적용할 수 있음을 보여주는 사례이다.
Key Message
The relevance of epidemiological research reporting the standardized mortality ratios (SMRs) for workers in the semiconductor industry is often limited by the healthy worker effect. One of the simple correction methods in the relative standardized mortality ratio (rSMR). We observed significant rightward shift when the summary rSMRs were compared with the summary rSMRs, which suggest that adjustment for the healthy worker effect (i.e., rSMR) may be useful in meta-analyses of cohort studies reporting SMRs.

Citations

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