- Title
- Latent class analysis of multiple health risk behaviors among Australian university students and associations with psychological distress
- Creator
- Hutchesson, Melinda J.; Duncan, Mitch J.; Oftedal, Stina; Ashton, Lee M.; Oldmeadow, Christopher; Kay-Lambkin, Frances; Whatnall, Megan C.
- Relation
- NHMRC.1141606 http://purl.org/au-research/grants/nhmrc/1141606
- Relation
- Nutrients Vol. 13, Issue 2, no. 425
- Publisher Link
- http://dx.doi.org/10.3390/nu13020425
- Publisher
- MDPI
- Resource Type
- journal article
- Date
- 2021
- Description
- University students have high rates of health risk behaviors and psychological distress. This study explores patterns of health behaviors among a sample of Australian university students, and determines whether patterns of health behaviors are associated with psychological distress and demographic characteristics. Cross-sectional data from the University of Newcastle Student Healthy Lifestyle Survey 2019 were analyzed. Fruit and vegetable intake, sugar-sweetened beverage intake, physical activity, sitting time, smoking, alcohol intake, drug use, sleep and psychological distress were assessed. Latent class analysis (LCA) was used to identify patterns of health risk behaviors, and latent class regression to explore associations between psychological distress and demographic characteristics with health behavior classes. Analysis included 1965 students (mean age 25.8 ± 8.6 years, 70.7% female). Three patterns of health behaviors were identified: healthier (48.6%), moderate (40.2%) and unhealthy (11.2%) lifestyle classes. Students in the moderate and unhealthy lifestyle classes had higher odds of moderate (OR 1.43 and 2.37) and high/very high psychological distress risk (OR 2.71 and 11.69). Students in the unhealthy and moderate lifestyle classes had a higher odds of being male, younger, enrolled in transition to university and English language courses, Aboriginal or Torres Strait Islander descent and to report some financial difficulty. Study findings may be used to inform the design of mental health interventions for university students that target key health risk behaviors.
- Subject
- university students; college students; health behaviors; mental health; latent class analysis
- Identifier
- http://hdl.handle.net/1959.13/1428482
- Identifier
- uon:38633
- Identifier
- ISSN:2072-6643
- Rights
- © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
- Language
- eng
- Full Text
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