From well-rested to wrecked: identifying college sleep patterns with latent profile analysis.

Saved in:
Bibliographic Details
Title: From well-rested to wrecked: identifying college sleep patterns with latent profile analysis.
Authors: Peltz, Jack S. (AUTHOR), Rogge, Ronald (AUTHOR)
Source: Journal of American College Health. May2026, Vol. 74 Issue 5, p1391-1402. 12p.
Subjects: Mental depression risk factors, Psychological resilience, Risk assessment, Cross-sectional method, Substance abuse, Health attitudes, Health status indicators, Smartphones, Compulsive behavior, Chronotype, Self-efficacy, Risk-taking behavior, Undergraduates, Mindfulness, Multiple regression analysis, Questionnaires, Psychological adaptation, Structural equation modeling, Descriptive statistics, Chi-squared test, Severity of illness index, Health surveys, Sleep, Health behavior, Analysis of variance, Sociodemographic factors, Student attitudes, Interpersonal relations, Sleep quality, Alcohol drinking in college, Comparative studies, Data analysis software, Psychological tests, Sleep disorders, Sleep hygiene, Disease risk factors
Abstract: Objective: This study sought to classify the myriad profiles that might exist of undergraduate sleepers by examining diverse sleep and sleep-related indicators. Methods: A total of 642 undergraduates (77.3% female; Mage=21.3 years; SD = 2.4) completed measures of sleep disturbance and sleep-related behaviors, in addition to critical sleep correlates (e.g., problematic smartphone use, chronotype) during the Spring 2023 semester. Results: Based on latent profile analysis of 19 indicator variables, five unique profiles of undergraduate sleepers were identified: 1) "great" (i.e., high sleep self-efficacy, low sleep disturbance; 22.6%), 2) "average" (34.7%), 3) "poor" (i.e., poor sleep hygiene, high sleep disturbance; 20.1%), 4) "poor, but conscientious" (i.e., moderate sleep hygiene, multiple barriers to quality sleep; 19.2%), and 5) "high-risk behavior" (i.e., poor sleep quality/hygiene, notable substance use; 3.4%). Conclusions: This study identifies critical differences amongst types of undergraduate sleepers. These efforts may support more targeted interventions to support their sleep and functioning. [ABSTRACT FROM AUTHOR]
Copyright of Journal of American College Health is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
Full text is not displayed to guests.
Description
Abstract:Objective: This study sought to classify the myriad profiles that might exist of undergraduate sleepers by examining diverse sleep and sleep-related indicators. Methods: A total of 642 undergraduates (77.3% female; Mage=21.3 years; SD = 2.4) completed measures of sleep disturbance and sleep-related behaviors, in addition to critical sleep correlates (e.g., problematic smartphone use, chronotype) during the Spring 2023 semester. Results: Based on latent profile analysis of 19 indicator variables, five unique profiles of undergraduate sleepers were identified: 1) "great" (i.e., high sleep self-efficacy, low sleep disturbance; 22.6%), 2) "average" (34.7%), 3) "poor" (i.e., poor sleep hygiene, high sleep disturbance; 20.1%), 4) "poor, but conscientious" (i.e., moderate sleep hygiene, multiple barriers to quality sleep; 19.2%), and 5) "high-risk behavior" (i.e., poor sleep quality/hygiene, notable substance use; 3.4%). Conclusions: This study identifies critical differences amongst types of undergraduate sleepers. These efforts may support more targeted interventions to support their sleep and functioning. [ABSTRACT FROM AUTHOR]
ISSN:07448481
DOI:10.1080/07448481.2025.2577656