TY - JOUR
T1 - Depression, COVID-19 Anxiety, Subjective Well-being, and Academic Performance in University Students With COVID-19-Infected Relatives
T2 - A Network Analysis
AU - Ventura-León, José
AU - Caycho-Rodríguez, Tomás
AU - Talledo-Sánchez, Karim
AU - Casiano-Valdivieso, Kenia
N1 - Publisher Copyright:
Copyright © 2022 Ventura-León, Caycho-Rodríguez, Talledo-Sánchez and Casiano-Valdivieso.
PY - 2022/2/10
Y1 - 2022/2/10
N2 - 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.
AB - 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.
KW - COVID-19 anxiety
KW - COVID-19-infected relatives
KW - a network analysis
KW - academic performance
KW - depression
KW - subjective well-being
KW - university students
UR - http://www.scopus.com/inward/record.url?scp=85125234309&partnerID=8YFLogxK
U2 - 10.3389/fpsyg.2022.837606
DO - 10.3389/fpsyg.2022.837606
M3 - Artículo
AN - SCOPUS:85125234309
SN - 1664-1078
VL - 13
JO - Frontiers in Psychology
JF - Frontiers in Psychology
M1 - 837606
ER -