Results 261 to 270 of about 68,595 (287)
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Journal of Psychiatric Research
Despite the negative health impact of multiple risk-taking behaviors (RTBs), there is a lack of understanding of adolescents who are more prone to multiple RTBs. This study aimed to identify sociodemographic, mental, and physical health variables associated with increased susceptibility to multiple RTBs in each sex.Cross-sectional data from the 2020 ...
In Hee Cho +3 more
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Despite the negative health impact of multiple risk-taking behaviors (RTBs), there is a lack of understanding of adolescents who are more prone to multiple RTBs. This study aimed to identify sociodemographic, mental, and physical health variables associated with increased susceptibility to multiple RTBs in each sex.Cross-sectional data from the 2020 ...
In Hee Cho +3 more
openaire +2 more sources
Journal of the Korean society for Wellness, 2017
본 연구는 우리나라 청소년의 정신건강 특성이 흡연에 미치는 영향을 파악하기 위하여 수행되었다. 이를 위해 제 12차(2016년) 청소년건강행태온라인조사 원시자료에서 61,086명의 자료를 분석에 사용하였다. 자료분석은 SPSS 21.0 프로그램을 이용하여 빈도분석, χ2-test, 로지스틱 회귀분석을 실시하였다. 연구결과 정신건강 특성인 우울감 경험, 스트레스 인지, 주관적 수면충족이 흡연에 영향을 미치는 요인으로 나타났다. 그리고 개인적 특성인 성별과 가족적 특성인 주거형태가 흡연에 영향을 미치는 주요 요인으로 나타났다. 그러므로 청소년의 흡연예방교육을 진행할 때 정신건강과 개인적 · 가족적 특성을 고려한 예방프로그램 개발이
Hyun-Ju Lee, Duck-Jin Kim
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본 연구는 우리나라 청소년의 정신건강 특성이 흡연에 미치는 영향을 파악하기 위하여 수행되었다. 이를 위해 제 12차(2016년) 청소년건강행태온라인조사 원시자료에서 61,086명의 자료를 분석에 사용하였다. 자료분석은 SPSS 21.0 프로그램을 이용하여 빈도분석, χ2-test, 로지스틱 회귀분석을 실시하였다. 연구결과 정신건강 특성인 우울감 경험, 스트레스 인지, 주관적 수면충족이 흡연에 영향을 미치는 요인으로 나타났다. 그리고 개인적 특성인 성별과 가족적 특성인 주거형태가 흡연에 영향을 미치는 주요 요인으로 나타났다. 그러므로 청소년의 흡연예방교육을 진행할 때 정신건강과 개인적 · 가족적 특성을 고려한 예방프로그램 개발이
Hyun-Ju Lee, Duck-Jin Kim
openaire +1 more source
Journal of The Korean Society of Living Environmental System, 2015
Hyang-Seok Lee +2 more
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Hyang-Seok Lee +2 more
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Journal of the American Academy of Child & Adolescent Psychiatry, 2023
In Hee Cho +4 more
openaire +1 more source
In Hee Cho +4 more
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Korean Home Economics Education Association
This study analyzed the association between smartphone usage time and dietary behavior, demographic characteristics, physical activity, and mental health among adolescents. Data from 101,051 adolescents participating in the 18th (2022) and 19th (2023) Korea Youth Risk Behavior Surveys were analyzed. Participants were classified into two groups based on
Yookyung Kim, Jung Woo Lee, Ju Oh Park
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This study analyzed the association between smartphone usage time and dietary behavior, demographic characteristics, physical activity, and mental health among adolescents. Data from 101,051 adolescents participating in the 18th (2022) and 19th (2023) Korea Youth Risk Behavior Surveys were analyzed. Participants were classified into two groups based on
Yookyung Kim, Jung Woo Lee, Ju Oh Park
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Forum of Public Safety and Culture
This study investigated seat belt non-use among Korean adolescents by seat type and examined its associations with sociodemographic and emotional characteristics, risk behaviors, and experiences of school-based safety and health education. Using raw data from the 20th Korea Youth Risk Behavior Survey (2024), which included 54,653 middle and high school
openaire +1 more source
This study investigated seat belt non-use among Korean adolescents by seat type and examined its associations with sociodemographic and emotional characteristics, risk behaviors, and experiences of school-based safety and health education. Using raw data from the 20th Korea Youth Risk Behavior Survey (2024), which included 54,653 middle and high school
openaire +1 more source
Overview and Methods for the Youth Risk Behavior Surveillance System — United States, 2021
MMWR Supplements, 2023exaly

