Technostress, anxiety, and depression among university students: A report from Paraguay.


Journal

The International journal of social psychiatry
ISSN: 1741-2854
Titre abrégé: Int J Soc Psychiatry
Pays: England
ID NLM: 0374726

Informations de publication

Date de publication:
08 2022
Historique:
pubmed: 3 6 2022
medline: 28 7 2022
entrez: 2 6 2022
Statut: ppublish

Résumé

Although technologies (including information, e-learning, and communication) have been daily employed by University students in the last years, the COVID-19 pandemic has led to a considerable increase in their use. Technostress is a modern term referring to levels of stress caused by the prolonged exposure to technology. The aim of this study is to assess the technostress and related anxiety and depression among Paraguayan University students, describing their sociodemographic characteristics and relevant associations. A cross-sectional and descriptive study has been conducted. Participants were recruited through an Internet-based survey. Technostress, anxiety, and depression have been assessed with the Technostress Questionnaire (TechQ), the Generalized Anxiety Disorder-7 (GAD-7) questionnaire, and the Patient Health Questionnaire-2 (PHQ-2), respectively. A total of 378 participants were included, 74.1% of whom were women. According to the TechQ scores, 47.4% of the participants reported a low/moderate level of technostress whereas 5.2% showed severe scores. About 58.5% of participants reported a GAD-7 score ⩾10, meeting diagnostic criteria for generalized anxiety. About 60.3% scored ⩾3 at the PHQ-2 reporting significant levels of depression. Technostress has been significantly associated with levels of anxiety ( Our results suggest further research regarding the implications of technostress on the well-being of University students. Specific measures aimed to improve students' coping with the challenges of technology and technostress should be promoted.

Sections du résumé

BACKGROUND
Although technologies (including information, e-learning, and communication) have been daily employed by University students in the last years, the COVID-19 pandemic has led to a considerable increase in their use. Technostress is a modern term referring to levels of stress caused by the prolonged exposure to technology.
AIM
The aim of this study is to assess the technostress and related anxiety and depression among Paraguayan University students, describing their sociodemographic characteristics and relevant associations.
METHODS
A cross-sectional and descriptive study has been conducted. Participants were recruited through an Internet-based survey. Technostress, anxiety, and depression have been assessed with the Technostress Questionnaire (TechQ), the Generalized Anxiety Disorder-7 (GAD-7) questionnaire, and the Patient Health Questionnaire-2 (PHQ-2), respectively.
RESULTS
A total of 378 participants were included, 74.1% of whom were women. According to the TechQ scores, 47.4% of the participants reported a low/moderate level of technostress whereas 5.2% showed severe scores. About 58.5% of participants reported a GAD-7 score ⩾10, meeting diagnostic criteria for generalized anxiety. About 60.3% scored ⩾3 at the PHQ-2 reporting significant levels of depression. Technostress has been significantly associated with levels of anxiety (
CONCLUSION
Our results suggest further research regarding the implications of technostress on the well-being of University students. Specific measures aimed to improve students' coping with the challenges of technology and technostress should be promoted.

Identifiants

pubmed: 35652309
doi: 10.1177/00207640221099416
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1063-1070

Auteurs

Julio Torales (J)

Department of Medical Psychology, School of Medical Sciences, National University of Asunción, San Lorenzo, Paraguay.
Department of Psychiatry, School of Medical Sciences, National University of Asunción, San Lorenzo, Paraguay.

Anthon Daniel Torres-Romero (AD)

Neuroscience Research Students Network, School of Medical Sciences, National University of Asunción, San Lorenzo, Paraguay.

Matías Franco Di Giuseppe (MF)

Neuroscience Research Students Network, School of Medical Sciences, National University of Asunción, San Lorenzo, Paraguay.

Elías René Rolón-Méndez (ER)

Neuroscience Research Students Network, School of Medical Sciences, National University of Asunción, San Lorenzo, Paraguay.

Patricia Lorena Martínez-López (PL)

Neuroscience Research Students Network, School of Medical Sciences, National University of Asunción, San Lorenzo, Paraguay.

Katja Victoria Heinichen-Mansfeld (KV)

Neuroscience Research Students Network, School of Medical Sciences, National University of Asunción, San Lorenzo, Paraguay.

Iván Barrios (I)

Department of Statistics (Santa Rosa Campus), School of Medical Sciences, National University of Asunción, Paraguay.

Marcelo O'Higgins (M)

Department of Psychiatry, School of Medical Sciences, National University of Asunción, San Lorenzo, Paraguay.

José Almirón-Santacruz (J)

Department of Psychiatry, School of Medical Sciences, National University of Asunción, San Lorenzo, Paraguay.

Osvaldo Melgarejo (O)

Department of Psychiatry, School of Medical Sciences, National University of Asunción, San Lorenzo, Paraguay.

Noelia Ruiz Díaz (N)

Department of Psychiatry, School of Medical Sciences, National University of Asunción, San Lorenzo, Paraguay.

João Mauricio Castaldelli-Maia (JM)

Department of Neuroscience, Fundação do ABC, Santo André, Brazil.
Department of Psychiatry, University of São Paulo, Brazil.

Antonio Ventriglio (A)

Department of Clinical and Experimental Medicine, University of Foggia, Italy.

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