Principal component regression of academic performance, substance use and sleep quality in relation to risk of anxiety and depression in young adults.


Journal

Trends in neuroscience and education
ISSN: 2211-9493
Titre abrégé: Trends Neurosci Educ
Pays: Germany
ID NLM: 101613233

Informations de publication

Date de publication:
06 2019
Historique:
received: 10 07 2018
revised: 08 03 2019
accepted: 27 03 2019
entrez: 10 6 2019
pubmed: 10 6 2019
medline: 25 8 2020
Statut: ppublish

Résumé

Adverse lifestyle factors increase risk of anxiety and depression in young adults. Consequently, neurochemical and neuroanatomical alterations ensue, and may initiate a vicious cycle of mental distress, poor lifestyle choices and academic performance. A total of 558 students from different US colleges completed an anonymous survey on academic performance, daytime sleepiness, substance use and mental distress. Low mental distress in college students positively associated with good academic efforts and limited daytime sleepiness. Mild mental distress correlated with borderline work neglect and with a marginal negative association with Grade-point average (GPA). Severe mental distress correlated with excessive daytime sleepiness and poor academic performance. A System Dynamic model was developed to reflect the integration of these variables with mental distress and academic performance. Our results demonstrate that manageable lifestyle factors contribute to mental health in college students, which become potentially cyclic events that may impact academic performance.

Identifiants

pubmed: 31176469
pii: S2211-9493(18)30032-2
doi: 10.1016/j.tine.2019.03.002
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

29-37

Informations de copyright

Copyright © 2019 Elsevier GmbH. All rights reserved.

Auteurs

Lina Begdache (L)

Binghamton University, Department of Health and Wellness Studies, USA. Electronic address: lina@binghamton.edu.

Hamed Kianmehr (H)

Binghamton University Thomas J. Watson School of Engineering and Applied Science, USA.

Nasim Sabounchi (N)

Binghamton University Thomas J. Watson School of Engineering and Applied Science, USA.

Anna Marszalek (A)

Binghamton University, Department of Biological Sciences, USA.

Ngawang Dolma (N)

Binghamton University, Department of Biological Sciences, USA.

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Classifications MeSH