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Gulnur Tyulepberdinova; Madina Mansurova; Talshyn Sarsembayeva; Sulu Issabayeva; Darazha Issabayeva – Journal of Computer Assisted Learning, 2024
Background: This study aims to assess how well several machine learning (ML) algorithms predict the physical, social, and mental health condition of university students. Objectives: The physical health measurements used in the study include BMI (Body Mass Index), %BF (percentage of Body Fat), BSC (Blood Serum Cholesterol), SBP (Systolic Blood…
Descriptors: Artificial Intelligence, Algorithms, Predictor Variables, Physical Health
Amy M. Kemp; Gabriella Norton; Madison Neese; Yalian Pei; Katy H. O'Brien – Journal of American College Health, 2025
Objective: This mixed method study examined how psychosocial factors from the Theory of Planned Behavior and Reasoned Action (TPB/RA) influence health-seeking behaviors after concussion, expanding from student-athlete TPB/RA research to assess the influence of psychosocial factors within a general college population. Participants: Two hundred and…
Descriptors: Health Behavior, Head Injuries, Brain, Student Athletes
Cris E. Haltom; Tate F. Halverson – Journal of American College Health, 2024
Objective: This study examined relationships between eating disorder risk (EDR), lifestyle variables (e.g., exposure to healthy eating media), and differences among male and female college students. Participants: College students (N = 323) completed survey questionnaires (Fall, 2016). Fifty-three participants retook the survey at a later time.…
Descriptors: Eating Disorders, Life Style, At Risk Students, Gender Differences
Joseph Lobo; Kirth Teodosio; Kristia Estilo; Michael Achas; Johnlenon Aliser; Christie Lynne Codod – Journal of Educators Online, 2025
This predictive-causal study determined the factors affecting students' Behavioral Intention (BI) and Actual Use (AU) of Canvas Learning Management System (LMS) and Zoom for both synchronous and asynchronous classes in a private higher education institution in the Philippines adopting Technology Acceptance Mode (TAM). After surveying 496 students,…
Descriptors: Learning Management Systems, Videoconferencing, Physical Activities, Health Promotion
Kitt Lee; Dominic Siaw; Gladys Ekong – Journal of American College Health, 2025
Objectives: This study assessed the uptake of the COVID-19 vaccine and factors related to vaccination coverage among college students in a university setting. Methods: A cross-sectional study design included undergraduate and graduate students in a university community as study participants. Survey questions assessed the uptake of the COVID-19…
Descriptors: Predictor Variables, COVID-19, Pandemics, Immunization Programs
Harini Krishnamurti; Catherine A. Forestell – Journal of American College Health, 2025
Objective: This study investigated collegians' (N = 466) vegetable consumption as a function of their food choice motivations, gender, and dietary habits. Method: Vegetarians and vegans (veg*ns, n = 94, 60% women), occasional meat eaters (n = 90, 66% women), and omnivores (n = 282, 43% women) completed the Food Choice Questionnaire and reported…
Descriptors: Eating Habits, Food, Gender Differences, Motivation
Shay X. Yao; Nikki McClaran; Funmilayo Ogunsanwo; Minara Nazmin; Md Nurul Karim Bhuiyan; Poulami Seal; Yinxin Sun; Priscilla Cotton – Health Education Journal, 2025
Objective: Extending previous research on sleep quality and college students' mental health, this study tested behavioural and cognitive precedents to sleep quality to inform future health interventions and programmes. Design: Cross-sectional surveys. Setting: The study took place in a large US Midwestern university. Method: Data were collected…
Descriptors: Sleep, College Students, Mental Health, Predictor Variables
Nicole McKenzie; Tavis Glassman; Joseph A. Dake; Ling Na; S. Maggie Maloney – Journal of American College Health, 2025
Background: Cannabis vaping has become increasingly popular among college students. The purpose of this study was to use the Integrated Behavioral Model to better understand students' motivations for engaging in this high-risk behavior. Methods: A survey instrument was developed to assess six IBM constructs, as well as past use of cannabis and…
Descriptors: Marijuana, Smoking, Electronic Equipment, Health Behavior
Collin A. Webster; Diana Mîndrila; Anthony D. Murphy; Ivana Banicevic; Dušan Peric; Dragan Stankic; Željko Banicevic – Psychology in the Schools, 2025
Health behavior, mental health, and school satisfaction are associated in school-aged youth. However, most previous research examining such associations does not account for unique groupings of these variables based on person-centered analyses. This study examined student mental health profiles and their association with health behaviors and…
Descriptors: Foreign Countries, International Schools, Elementary School Students, Mental Health
George B. Richardson; Daniel Bates; Amy Ross; Hexuan Liu; Brian B. Boutwell – Developmental Psychology, 2024
Many developmental theories have not been sufficiently evaluated using designs that control for unobserved familial confounds. Our long-term goal is to determine the causal structure underlying associations between early environmental conditions and later psychosocial and health outcomes. Our overall objective in this study was to further evaluate…
Descriptors: Early Experience, Females, Individual Development, Sexuality
Cynthia Gangi; Danusia Mryczko – Journal of American College Health, 2025
Stress is a health-compromising issue for undergraduate students that has only seemed to worsen during the COVID-19 pandemic. While most universities offer traditional medicinal treatments, prior research has suggested that some students prefer to utilize complementary and alternative medicine (CAM) to cope with stress and illness. Given the…
Descriptors: Undergraduate Students, COVID-19, Pandemics, Medicine
Andrew S. Tubbs; Krishna Taneja; Sadia B. Ghani; Michael R. Nadorff; Christopher W. Drapeau; Jordan F. Karp; Fabian-Xosé Fernandez; Michael L. Perlis; Michael A. Grandner – Journal of American College Health, 2024
Objective: To evaluate sleep continuity, timing, quality, and disorder in relation to suicidal ideation and attempts among college students. Participants: Eight hundred eighty-five undergraduates aged 18-25 in the southwestern United States. Methods: Participants completed questionnaires on sleep, suicide risk, mental health, and substance use.…
Descriptors: College Students, Student Behavior, Health Behavior, Sleep
Abby Marshall; Grace Mackson; Farnaz Kaighobadi; Neal D. Hoffman; Adam Ciarleglio; Theo G. M. Sandfort – Health Education & Behavior, 2025
This study explored sexual orientation and gender identity as predictors of health literacy among adolescents attending New York City (NYC) public high schools. Many studies have demonstrated disparities in sexual health among sexual and gender minority (SGM) adolescents. However, little is known about their health literacy. Health literacy,…
Descriptors: Health, Knowledge Level, Health Behavior, LGBTQ People
Valerie A. Ubbes; Miguel A. Miranda; Michael O’Connell – International Electronic Journal of Elementary Education, 2025
One year after the COVID-19 quarantine, we conducted an eight-week pilot study with third graders (n = 246), who took a repeating knowledge, attitude, and behavior pretest and a reading comprehension posttest from the eBook for Oral Health Literacy© curriculum. Our research questions were: 1) Will the knowledge, attitude, and behaviors of third…
Descriptors: Dental Health, Knowledge Level, Reading Comprehension, Grade 3
Emilia A. Glodici; Monica G. Brînzac; Andreea Rusu; Razvan M. Chereches; Marius I. Ungureanu; Madalina A. Coman – SAGE Open, 2024
In addition to the infectious disease, the COVID-19 pandemic was accompanied by an infodemic that worsened the outbreak. Increased digital health literacy (DHL) skills and information-seeking behaviors are crucial for accessing, understanding, and evaluating online health information, especially during a pandemic, where misinformation imposes…
Descriptors: Health Behavior, Digital Literacy, Predictor Variables, COVID-19

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