Trigger of a migraine headache among Thai adolescents smartphone users: a time series study

Wanna Chongchitpaisan; Phongtap Wiwatanadate; Surat Tanprawate; Assawin Narkpongphan; Nipapon Siripon

추천

검색

질문

자료유형: 학술저널

저자정보: Wanna Chongchitpaisan (Ministry of Public Health) Phongtap Wiwatanadate (Chiang Mai University) Surat Tanprawate (Chiang Mai University) Assawin Narkpongphan (Chiang Mai University) Nipapon Siripon (Chiang Mai University)

저널정보: 환경독성보건학회 Environmental Analysis Health and Toxicology Environmental Analysis Health and Toxicology Vol.36 No.1

발행연도: 2021.3

수록면: 56 - 63 (8page)

이용수

📌

연구주제

📖

연구배경

🔬

연구방법

🏆

연구결과

초록· 키워드

오류제보하기

The study aims to investigate the effect of modern technology in the trigger of migraine headaches in high school students by using generalized estimating equation analysis. The prospective time series study was conducted in one hundred and forty-five smartphones using high school students in Chiang Mai Province who each completed a headache diary giving a total of 12,969 data entries. The smartphone output power was measured and recorded by a smartphone application. Smartphone use, sleep quality, anxiety, and depression also were assessed. Results revealed that the prevalence of repeated headache be 13.4% and migraine 16.9%. The migraine had the strongest association with hand-free device use and internet use, followed by age and anxiety. Furthermore, the strongest effect of smartphone output power in triggering a migraine was found at ≤ 1.79×10<SUP>-5</SUP> and 1.80-1.99×10<SUP>-5</SUP> mW ranges. Meanwhile, Lag_6 of daily smartphone output power exposure produced the migraine effect in a reverse dose-response manner. The smartphone electromagnetic radiation was a primary migraine trigger. The study results led to the recommendation to avoid triggers by use of smartphone talking with hand-free devices to prevent a recurrent migraine.

#trigger #migraine #adolescents #smartphone users

참고문헌 (0)

참고문헌 신청

참고문헌이 DBpia에서 서비스 중이라면, [참고문헌 신청]을 통해 등록해보세요

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!