Caffeine consumption of medical students in Korea: amount and symptoms based on a 2023 survey

Caffeinated beverage consumption was routine among current medical students, with 20% consuming more than the recommended daily amount. Most students experienced at least one caffeine-induced symptom, with two symptoms in half, suggesting the need for policy measures and warnings about caffeine-containing foods.

Authors

Institutions

Publication Details

Journal
Korean journal of medical education
Published
2024-08-29
DOI
https://doi.org/10.3946/kjme.2024.301
Primary Topic
Coffee research and impacts
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Caffeine consumption of medical students in Korea: amount and symptoms based on a 2023 survey

Ye Won Kim, Young Hwii Ko, Chang Yong Lee, Hee Seung Chae et al.
Korean journal of medical education
Coffee research and impacts
article

Caffeine consumption of medical students in Korea: amount and symptoms based on a 2023 survey

Ye Won Kim, Young Hwii Ko, Chang Yong Lee, Hee Seung Chae, Ju Ha Choi, Seong Woo Choi, Hyung Su Jang
article en

Abstract

Caffeinated beverage consumption was routine among current medical students, with 20% consuming more than the recommended daily amount. Most students experienced at least one caffeine-induced symptom, with two symptoms in half, suggesting the need for policy measures and warnings about caffeine-containing foods.

Korean journal of medical educationVol. 36(3)
Yeungnam University College, Yeungnam University (KR)
Openalex Percentile: Top 86%
Coffee research and impacts
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.