TY - JOUR
T1 - Psychological distress and workload as predictors of satisfaction with life in Peruvian female university professors with a family burden
AU - Carranza Esteban, Renzo Felipe
AU - Mamani-Benito, Oscar
AU - Turpo Chaparro, Josué Edison
AU - Lingán-Huamán, Susana K.
AU - Pajares, Ana Elguera
N1 - Publisher Copyright:
© 2021
PY - 2022/1
Y1 - 2022/1
N2 - This study aims to determine whether psychological distress and workload predict satisfaction with life in Peruvian female university professors caring for dependent relatives. A total of 157 Peruvian female university professors aged 26–58 years who were caring for dependent relatives (M = 40.50; SD = 7.72) participated in the study. Of the female university professors participating in the study, 87.3% worked in a private university. The Psychological Distress Scale (K6), the Workload Scale (ECT) and the Satisfaction with Life Scale (SWLS) were applied to them. Through a multiple regression analysis, it was found that psychological distress (β =.559, p <.01) and workload (β =.173, p <.01) are variables that significantly predict satisfaction with life in university professors who are also housewives (adjusted R2 =.43), being psychological distress the variable with the highest predictive power. These findings provide evidence for the usefulness of considering both psychological distress and workload as predictors of satisfaction with life in female Peruvian university professors.
AB - This study aims to determine whether psychological distress and workload predict satisfaction with life in Peruvian female university professors caring for dependent relatives. A total of 157 Peruvian female university professors aged 26–58 years who were caring for dependent relatives (M = 40.50; SD = 7.72) participated in the study. Of the female university professors participating in the study, 87.3% worked in a private university. The Psychological Distress Scale (K6), the Workload Scale (ECT) and the Satisfaction with Life Scale (SWLS) were applied to them. Through a multiple regression analysis, it was found that psychological distress (β =.559, p <.01) and workload (β =.173, p <.01) are variables that significantly predict satisfaction with life in university professors who are also housewives (adjusted R2 =.43), being psychological distress the variable with the highest predictive power. These findings provide evidence for the usefulness of considering both psychological distress and workload as predictors of satisfaction with life in female Peruvian university professors.
KW - Psychological distress
KW - Satisfaction with life
KW - University professor
KW - Workload
UR - http://www.scopus.com/inward/record.url?scp=85122639305&partnerID=8YFLogxK
U2 - 10.1016/j.heliyon.2021.e08711
DO - 10.1016/j.heliyon.2021.e08711
M3 - Artículo
C2 - 35071805
AN - SCOPUS:85122639305
SN - 2405-8440
VL - 8
SP - e08711
JO - Heliyon
JF - Heliyon
IS - 1
M1 - e08711
ER -