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Direct linkHannah R. Thompson; Joni Ladawn Ricks-Oddie; Margaret Schneider; Sophia Day; Kira Argenio; Kevin Konty; Shlomit Radom-Aizik; Yawen Guo; Dan M. Cooper – Journal of School Health, 2025
Background: Data missingness can bias interpretation and outcomes resulting from data use. We describe data missingness in the longest-standing US-based youth fitness surveillance system (2006/07-2019/20). Methods: This observational study uses the New York City FITNESSGRAM (NYCFG) database from 1,983,629 unique 4th-12th grade students (9,147,873…
Descriptors: Physical Fitness, Data Interpretation, Statistical Bias, Youth
Mike C. Parent; Nathaniel W. Woznicki; Jackie Yang – Journal of American College Health, 2024
Objective: Kratom use represents a growing risk for public health. The present study examined demographic and behavioral factors linked with kratom use. Participants: Participants were college students in the United States who participated in the 2019-2020 Healthy Minds Study. Methods: Participants completed survey-based assessment of kratom use…
Descriptors: Drug Abuse, College Students, Student Characteristics, Mental Health
Jaclyn Inel Hadfield; Lucia Guerra-Reyes; Lesa Huber; Lesa Major; Carol Kennedy-Armbruster – Journal of American College Health, 2024
Objective: This study explores college women's beliefs and experiences about exercise informed by different framing strategies, and how they may influence exercise engagement. Participants: Four focus groups were conducted with 19 undergraduate women at a large public Midwestern university. Methods: Four differently framed group exercise…
Descriptors: Females, Undergraduate Students, Student Attitudes, Exercise
