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1428 – Predictors Of Multidimensional Fatigue In General Population In Greece

Published online by Cambridge University Press:  15 April 2020

G.N. Lyrakos ,
I. Spyropoulos ,
E. Xatziagelaki ,
C. Tinas ,
G. Kostopanagiotou  and
V. Spinaris
G.N. Lyrakos
Affiliation:
2nd Dep of Anesthesiology-Pain Unit, School of Medicine, University of Athens, Attikon Hospital, Athens Psychiatric Department, General Hospital Nikaia Agios Panteleimon, Nikaia
I. Spyropoulos
Affiliation:
Psychiatric Department, General Hospital Nikaia Agios Panteleimon, Nikaia
E. Xatziagelaki
Affiliation:
2nd Department of Internal Medicine, Research Institute & Diabetes Center, School of Medicine, University of Athens, Attikon University Hospital, Athens, Greece
C. Tinas
Affiliation:
Psychiatric Department, General Hospital Nikaia Agios Panteleimon, Nikaia
G. Kostopanagiotou
Affiliation:
2nd Dep of Anesthesiology-Pain Unit, School of Medicine, University of Athens, Attikon Hospital, Athens
V. Spinaris
Affiliation:
Psychiatric Department, General Hospital Nikaia Agios Panteleimon, Nikaia

Abstract

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Introduction

Fatigue is of great clinical and investigational importance. It is a prevalent symptom in the general population and it is a central symptom in many diseases, while fatigue is considered a normal occurrence in daily life, it is also a symptom associated with a variety of physiological and psychological conditions.

Objectives

To compare levels of the various aspects of fatigue with sociodemografic characteristics in order to build a model explaining fatigue in general population.

Aims

To see if negative emotions are significant predictors of fatigue.

Methods

We conducted a survey in a random sample of 712 healthy adults (534 women and 169 men), using the Multidimensional Fatigue Inventory (MFI-20). Statistical analysis was conducted with SPSS 16 for windows. Multivariate linear regression analyses were performed to look for independent associations between the five domains of the MFI and the variables of interest.

Results

In general fatigue, stress (b = .217 p < .05) and satisfaction with life (b = -.143 p < .05) along with sex, education and PCS12 explained 47% of the variance. In reduced motivation stress (b = .246 p < .05) and depression (b = .266 p < .05) explained 34% of the variance. In mental fatigue, reduced activity and physical fatigue, only sociodemografic characteristics and health related quality of life had significant effect in the models.

Conclusions

A small part of fatigue in general population is explained from negative emotions, but a larger amount of the variance is explained by sex, education and age. Also limitations in day activities pay a significant role in the model of fatigue.

Type
Abstract
Information
European Psychiatry , Volume 28 , Issue S1: Abstracts of the 21th European Congress of Psychiatry , 2013 , 28-E750
Copyright
Copyright © European Psychiatric Association 2013
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