Depression, COVID-19 Anxiety, Subjective Well-being, and Academic Performance in University Students With COVID-19-Infected Relatives: A Network Analysis

José Ventura-León, Tomás Caycho-Rodríguez, Karim Talledo-Sánchez, Kenia Casiano-Valdivieso

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

This study aimed to examine the relationship between anxiety, depression, subjective well-being, and academic performance in Peruvian university health science students with COVID-19-infected relatives. Eight hundred two university students aged 17–54 years (Mean 21.83; SD = 5.31); 658 females (82%) and 144 males (18%); who completed the Patient Health Questionnaire-2, Coronavirus Anxiety Scale, Subjective Well-being Scale (SWB), and Self-reporting of Academic Performance participated. A partial unregularized network was estimated using the ggmModSelect function. Expected influence (EI) values were calculated to identify the central nodes and a two-tailed permutation test for the difference between the two groups (COVID-19 infected and uninfected). The results reveal that a depression and well-being node (PHQ1-SWB3) presents the highest relationship. The most central nodes belonged to COVID-19 anxiety, and there are no global differences between the comparison networks; but at the local level, there are connections in the network of COVID-19-infected students that are not in the group that did not present this diagnosis. It is concluded that anxious–depressive symptomatology and its relationship with well-being and evaluation of academic performance should be considered in order to understand the impact that COVID-19 had on health sciences students.

Original languageEnglish
Article number837606
JournalFrontiers in Psychology
Volume13
DOIs
StatePublished - 10 Feb 2022
Externally publishedYes

Keywords

  • COVID-19 anxiety
  • COVID-19-infected relatives
  • a network analysis
  • academic performance
  • depression
  • subjective well-being
  • university students

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