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Jones, Emily J.; Schreier, Hannah M. C. – Journal of American College Health, 2023
Objective: To examine prospective associations between physical and mental self-rated health (SRH), college generation status and college adjustment among first-year college students. Participants and methods: Eighty-seven first-year college students (41 first-generation college students) reported their SRH when starting college, and then,…
Descriptors: Self Concept, Student Attitudes, Correlation, Physical Health
Brinkman, Jesse; Garnett, Bernice; Kolodinsky, Jane; Wang, Weiwei; Pope, Lizzy – Journal of School Health, 2021
Background: Food insecurity (FI) is a significant predictor of feelings of isolation in children, as well as suicide ideation and depression. Using a census of public middle school-aged children, we seek to determine whether FI is associated with suicide ideation and feelings of hopelessness and how individual and school community factors can…
Descriptors: Interpersonal Relationship, Hunger, Well Being, Mental Health
Kim, Eun-Mi; Park, Eunhee; Kim, Heejung – Journal of School Nursing, 2020
This study purpose was to investigate sex differences in multilevel factors associated with smoking experimentation and age of initiation among Korean adolescents. Based on the ecological model, this cross-sectional study used data from the 2016 Korea Youth Risk Behavior Web-Based Survey (N = 65,528). Among 33,803 males (51.6%) and 31,725 females…
Descriptors: Foreign Countries, Gender Differences, Smoking, Health Behavior
Govender, Kaymarlin; Naicker, Sara Naomi; Meyer-Weitz, Anna; Fanner, Joanne; Naidoo, Avanya; Penfold, Wendy Leigh – Journal of School Health, 2013
Background: This study investigated the relationship between school connectedness and health risk behaviors, specifically, substance abuse, violence-related behaviors, sexual risk behaviors, and suicidal ideation among school-going adolescents. School connectedness was understood to encompass a range of aspects pertaining to a learner's sense of…
Descriptors: Foreign Countries, Correlation, At Risk Persons, Health Behavior
Adwere-Boamah, Joseph – Journal of Case Studies in Education, 2011
A binary logistic regression analysis was performed to predict high school students' cigarette smoking behavior from selected predictors from 2009 CDC Youth Risk Behavior Surveillance Survey. The specific target student behavior of interest was frequent cigarette use. Five predictor variables included in the model were: a) race, b) frequency of…
Descriptors: Smoking, High School Students, Predictor Variables, At Risk Students