Epidemiology and Health

Original article

Identifying adverse reactions following COVID-19 vaccination from data collected through active surveillance: a text mining approach: Hye Ah Lee, Bomi Park, Chung Ho Kim, Yeonjae Kim, Hyunjin Park, Seunghee Jun, Hyelim Lee, Seunghyun Lewis Kwon, Yesul Heo, Hyungmin Lee, Hyesook Park; Epidemiol Health. 2025;e2025034. Published online June 30, 2025; DOI: https://doi.org/10.4178/epih.e2025034 [Accepted]

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Abstract PDF: Abstract
OBJECTIVES
Unstructured text data collected through vaccine safety surveillance systems can identify previously unreported adverse reactions and provide critical information to enhance these systems. This study explored adverse reactions using text data collected through an active surveillance system following COVID-19 vaccination.
METHODS
We performed text mining on 2,608 and 2,054 records from 2 survey seasons (2023–2024 and 2024–2025), in which participants reported health conditions experienced within 7 days of vaccination using free-text responses. Frequency analysis was conducted to identify key terms, followed by subgroup analyses by sex, age, and concomitant influenza vaccination. In addition, semantic network analysis was used to examine terms reported together.
RESULTS
The analysis identified several common (≥1%) adverse events, such as respiratory symptoms, sleep disturbances, lumbago, and indigestion, which had not been frequently noted in prior literature. Moreover, less frequent (≥0.1% to <1%) adverse reactions affecting the eyes, ears, and oral cavity were also detected. These adverse reactions did not differ significantly in frequency based on the presence or absence of simultaneous influenza vaccination. Co-occurrence analysis and estimation of correlation coefficients further revealed associations between frequently co-reported symptoms.
CONCLUSIONS
This study utilized text mining to uncover previously unrecognized adverse reactions associated with COVID-19 vaccination, thereby broadening our understanding of the vaccine’s safety profile. The insights obtained may inform future investigations into vaccine-related adverse reactions and improve the processing of text data in surveillance systems.; Summary

Original Article

Prospective association between handgrip strength in childhood and the metabolic syndrome score and insulin resistance indices in adolescence: an analysis based on the Ewha Birth and Growth Study: Seunghee Jun, Hyunjin Park, Hyelim Lee, Hye Ah Lee, Young Sun Hong, Hyesook Park; Epidemiol Health. 2025;47:e2025001. Published online January 2, 2025; DOI: https://doi.org/10.4178/epih.e2025001

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Abstract Summary PDF Supplementary Material: Abstract
OBJECTIVES
Low handgrip strength (HGS) in children and adolescents might be associated with the risk of metabolic syndrome (MetS) and insulin resistance. This study prospectively evaluated the association between HGS in childhood and MetS in adolescence.
METHODS
Based on data from the Ewha Birth and Growth Study, this study analyzed HGS at ages 7 to 9 and metabolic indices at ages 13 to 15. In total, 219 participants were analyzed. The risk of MetS was evaluated using the continuous metabolic syndrome score (cMetS), and insulin resistance was assessed using fasting blood insulin and homeostasis model assessment of insulin resistance (HOMA-IR). Relative HGS in childhood was determined by dividing HGS by body weight and categorized as sex-specific quartiles.
RESULTS
This study found an inverse association between relative HGS levels in childhood and MetS and insulin resistance in adolescence. For each 1-group increase in relative HGS quartiles, cMetS (standarard [Std] β=-0.64, p<0.01), HOMA-IR (Std β=-0.21, p<0.01), and fasting blood insulin (Std β=-0.21, p<0.01) all decreased on average. These associations remained significant even after adjusting for confounding factors.
CONCLUSIONS
Our study showed a prospective association between HGS in childhood and the risk of MetS and insulin resistance in adolescence. It provides significant epidemiological evidence, emphasizing the importance of efforts to increase muscle strength from a young age to mitigate the risk of MetS and insulin resistance in adolescence.; Summary

Korean summary
본 연구는 소아기 악력 수준이 청소년기의 대사증후군 및 인슐린 저항성과 연관이 있음을 발견했음. 이러한 결과는 소아기 근력 향상이 향후 대사 위험을 완화하는데 중요함을 강조함.

Key Message
This study found that higher childhood relative handgrip strength was inversely associated with metabolic syndrome and insulin resistance in adolescence. The findings emphasize the importance of enhancing muscle strength early in life to mitigate metabolic risks.

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