GENERAL HEALTH PREDICTION FROM BURNOUT AND EMPLOYMENT STATUS OF PRIVATE HEALTH AND FITNESS CENTERS’ EMPLOYEES

The aim of the present study was to investigate the prediction of the General Health from Burnout Syndrome’s (BS) dimensions, and from the employment status of the private health and fitness center employees. We used a stratified random sampling method, and a sample of 205 private health and fitness...

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Main Authors: Yannis Georgiou, Aggeliki Fotiou
Format: Article
Language:English
Published: Scientific Publishing House. NSA Press 2019-07-01
Series:Journal of Applied Sports Sciences
Subjects:
Online Access:https://journal.nsa.bg/article/33033/download/pdf/
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author Yannis Georgiou
Aggeliki Fotiou
author_facet Yannis Georgiou
Aggeliki Fotiou
author_sort Yannis Georgiou
collection DOAJ
description The aim of the present study was to investigate the prediction of the General Health from Burnout Syndrome’s (BS) dimensions, and from the employment status of the private health and fitness center employees. We used a stratified random sampling method, and a sample of 205 private health and fitness centers employees completed the Maslach Burnout Inventory–General Survey (MBI–GS), and the General Health Questionnaire (GHQ-12), and the Demographic Questionnaire. The statistical analysis showed that gender and employment status do not predict decrease in General Health (GH) levels, while exhaustion and depersonalization dimensions of BS create the background for emergence of the GH levels’ decrease.
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series Journal of Applied Sports Sciences
spelling doaj-art-dda56f35dea444319e7ca3d7d01c8b772025-08-20T02:17:20ZengScientific Publishing House. NSA PressJournal of Applied Sports Sciences2535-01452019-07-013115716310.37393/JASS.2019.01.1533033GENERAL HEALTH PREDICTION FROM BURNOUT AND EMPLOYMENT STATUS OF PRIVATE HEALTH AND FITNESS CENTERS’ EMPLOYEESYannis Georgiou0Aggeliki Fotiou1National and Kapodistrian University of AthensHellenic Open UniversityThe aim of the present study was to investigate the prediction of the General Health from Burnout Syndrome’s (BS) dimensions, and from the employment status of the private health and fitness center employees. We used a stratified random sampling method, and a sample of 205 private health and fitness centers employees completed the Maslach Burnout Inventory–General Survey (MBI–GS), and the General Health Questionnaire (GHQ-12), and the Demographic Questionnaire. The statistical analysis showed that gender and employment status do not predict decrease in General Health (GH) levels, while exhaustion and depersonalization dimensions of BS create the background for emergence of the GH levels’ decrease.https://journal.nsa.bg/article/33033/download/pdf/HealthBurnoutEmployment status
spellingShingle Yannis Georgiou
Aggeliki Fotiou
GENERAL HEALTH PREDICTION FROM BURNOUT AND EMPLOYMENT STATUS OF PRIVATE HEALTH AND FITNESS CENTERS’ EMPLOYEES
Journal of Applied Sports Sciences
Health
Burnout
Employment status
title GENERAL HEALTH PREDICTION FROM BURNOUT AND EMPLOYMENT STATUS OF PRIVATE HEALTH AND FITNESS CENTERS’ EMPLOYEES
title_full GENERAL HEALTH PREDICTION FROM BURNOUT AND EMPLOYMENT STATUS OF PRIVATE HEALTH AND FITNESS CENTERS’ EMPLOYEES
title_fullStr GENERAL HEALTH PREDICTION FROM BURNOUT AND EMPLOYMENT STATUS OF PRIVATE HEALTH AND FITNESS CENTERS’ EMPLOYEES
title_full_unstemmed GENERAL HEALTH PREDICTION FROM BURNOUT AND EMPLOYMENT STATUS OF PRIVATE HEALTH AND FITNESS CENTERS’ EMPLOYEES
title_short GENERAL HEALTH PREDICTION FROM BURNOUT AND EMPLOYMENT STATUS OF PRIVATE HEALTH AND FITNESS CENTERS’ EMPLOYEES
title_sort general health prediction from burnout and employment status of private health and fitness centers employees
topic Health
Burnout
Employment status
url https://journal.nsa.bg/article/33033/download/pdf/
work_keys_str_mv AT yannisgeorgiou generalhealthpredictionfromburnoutandemploymentstatusofprivatehealthandfitnesscentersemployees
AT aggelikifotiou generalhealthpredictionfromburnoutandemploymentstatusofprivatehealthandfitnesscentersemployees