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Showing 1 to 15 of 24 results Save | Export
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Phillip A. Morris; Keston G. Lindsay; Patience Agana; Kathryn Watson; Dale Willson – Journal of American College Health, 2025
Objective: Investigate sleep health for student servicemember/veterans (SSM/Vs). Method: Data from the National College Health Assessment was used, including 88,178 participants in 2018 and 67,972 in 2019. Propensity score matching was used to compare SSM/Vs (n = 2984) to their most similar non-SSM/V counterparts (n = 1,355). Responses were…
Descriptors: Sleep, Veterans Education, Military Personnel, College Students
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Qin, Yao; Liu, Shun Jia; Xu, Xin Long – Social Psychology of Education: An International Journal, 2023
This study explored how self-control and eudaimonic orientation are associated with learning burnout and internet addiction risk (IAR). Our results demonstrate that learning burnout has a significant and positive impact on IAR. The impulse system and control system play parallel mediating roles in the relationship between learning burnout and IAR.…
Descriptors: Middle School Students, Learning, Burnout, Internet
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Chu, Kuo-Ming – Psychology in the Schools, 2023
As a novel type of mobile game, addictive behavior has attracted the attention of researchers due to its possible negative impacts on several forms of psychological problems. In this research, we tested the relationship between academic performance, mobile game addiction (MGA), and mobile self-efficacy among undergraduates in Taiwan. An academic…
Descriptors: College Students, Handheld Devices, Computer Games, Addictive Behavior
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Gezgin, Deniz Mertkan; Mihci, Can; Gedik, Sinem – Journal of Education in Science, Environment and Health, 2021
The purpose of this study is to investigate the effect of free time management skills upon smartphone addiction risk in university students. The study follows a relational screening model of research and makes use of descriptive analyses alongside correlation and stepwise regression statistical methods. The study group consists of 591 university…
Descriptors: Time Management, Addictive Behavior, Handheld Devices, Telecommunications
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Kwon, Soo Jin; Kim, Yoonjung; Kwak, Yeunhee – Journal of American College Health, 2022
Objective: This study examined the relationship between attention-deficit hyperactivity disorder ((ADHD)) symptoms, smartphone addiction, and poor sleep quality in university students, and identified factors affecting ADHD symptoms. Participants: Data were collected from 197 students from March to June 2017. Methods: We adopted a descriptive…
Descriptors: Attention Deficit Hyperactivity Disorder, Telecommunications, Handheld Devices, Addictive Behavior
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Sayi, Aysin Kaplan; Sahin, Filiz – Pegem Journal of Education and Instruction, 2021
Internet and games can have some adverse effects if used unconsciously. Especially for gifted students, internet and games can be risky and result in addiction due to their cognitive and social characteristics. Since the game and internet addiction conduce to social problems as well. In this vein, the purpose of the study is to examine the…
Descriptors: Academically Gifted, Internet, Computer Games, Addictive Behavior
Welsh, Justine W.; Rappaport, Nancy; Tretyak, Valeria – Educational Leadership, 2018
Opioid abuse has become an epidemic in America and exposure to the drugs often begins in high school. This article shares some facts about opioid use and some signs and symptoms to look for in students who may be addicted to the drug. The authors also offer tips for educators on how to deal with the legal issues involved in assessing, reporting,…
Descriptors: Drug Abuse, Narcotics, High School Students, At Risk Students
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Bernabéu, Elena; Marchena, Carlos A.; González-Pizzio, Adriana; Lubrini, Genny – Electronic Journal of Research in Educational Psychology, 2020
Internet addiction is a growing public health problem and university students have number of characteristics which make them a population at risk. Numerous studies suggest a relation between addiction and the impairment of executive functions. This bibliographical review aims to identify neuropsychological variables which indicate a risk of…
Descriptors: Internet, Computer Use, Addictive Behavior, Executive Function
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Peña-Purcell, Ninfa C.; Rahn, Rhonda N.; Atkinson, Taylor Dailey – American Journal of Health Education, 2018
Background: College students are susceptible to cigarette smoking initiation, and those who smoke are at risk for a lifetime addiction. Purpose: This study examined the differences in college student smoker and nonsmoker perceptions about cigarette smoking in relation to emotional benefits, health hazards, self-confidence, and body image. Methods:…
Descriptors: Student Attitudes, Smoking, Prevention, At Risk Students
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McDaniel, Sara C.; Bruhn, Allison L. – Elementary School Journal, 2019
This study examined the effects of coping power (CP) and the combination of CP with check-in/check-out (CICO) to determine whether the addition of CICO as a classroom component enhances the effects of CP alone. CP was delivered outside the classroom by research assistants, and all CICO components were implemented by classroom teachers. We…
Descriptors: Addictive Behavior, Coping, Elementary School Students, At Risk Students
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Kumcagiz, Hatice – SAGE Open, 2019
The purpose of this study was to examine university students' Internet addiction in relation to their parental attachment and sociodemographics. The participants consisted of 402 university students aged 17 to 25 years, 249 (61.9%) of whom were female and 153 (38.1%) of whom were male. The participants completed a questionnaire comprising the…
Descriptors: Foreign Countries, Internet, Addictive Behavior, Attachment Behavior
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DiRosa, Francesca; Scoles, Pascal – Journal of Student Affairs Research and Practice, 2020
In this article, the authors present a collegiate recovery model of service that prioritizes a programmatic approach and intentionally designed services, activities, and mentoring that is structured upon a foundation of what we identify as five "Healing Pillars of Collegiate Recovery." The guiding principle of service is to provide…
Descriptors: Community Colleges, Student Personnel Services, College Environment, Program Effectiveness
Yang, Joanna – ProQuest LLC, 2017
Mental illnesses are often deemed low in health priority despite their large burden of disease. Because many chronic mental illnesses have early onset, youth present a high-risk cohort for disproportionate health burden. Stigma and literacy are two potential barriers to care, so pre-K to 12 schools offer an efficient platform for disseminating…
Descriptors: Adolescents, Mental Health, Mental Disorders, At Risk Students
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Powell, Michael; Newgent, Rebecca A. – Measurement and Evaluation in Counseling and Development, 2016
This article describes the development and psychometrics of the Juvenile Addiction Risk Rating. The Juvenile Addiction Risk Rating is a brief screening of addiction potential based on 10 risk factors predictive of youth alcohol and drug-related problems that assists examiners in more accurate treatment planning when self-report information is…
Descriptors: Addictive Behavior, At Risk Students, Substance Abuse, Adolescents
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Lee, Jeewon; Sung, Min-Je; Song, Sook-Hyung; Lee, Young-Moon; Lee, Je-Jung; Cho, Sun-Mi; Park, Mi-Kyung; Shin, Yun-Mi – Journal of Early Adolescence, 2018
The smartphone has many attractive attributes and characteristics that could make it highly addictive, particularly in adolescents. The purpose of this study was to examine the prevalence of young adolescents in risk of smartphone addiction and the psychological factors associated with smartphone addiction. Four hundred ninety middle school…
Descriptors: Foreign Countries, Psychological Patterns, Handheld Devices, Telecommunications
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