International Journal of
Environmental Research and Public Health Article
Association between Work Related Stress and Health Related Quality of Life: The Impact of Socio-Demographic Variables. A Cross Sectional Study in a Region of Central Italy Giuseppe La Torre 1, *, Cristina Sestili 1 , Alice Mannocci 1 ID , Alessandra Sinopoli 1 , Massimiliano De Paolis 1 , Sara De Francesco 1 , Laura Rapaccini 1 , Marco Barone 1 , Valentina Iodice 1 , Bruno Lojodice 1 , Sabina Sernia 1 , Simone De Sio 2 , Angela Del Cimmuto 1 and Maria De Giusti 1 1
2
*
Department of Public Health and Infectious Diseases, Sapienza University of Rome, 00185 Rome, Italy;
[email protected] (C.S.);
[email protected] (A.M.);
[email protected] (A.S.);
[email protected] (M.D.P.);
[email protected] (S.D.F.);
[email protected] (L.R.);
[email protected] (M.B.);
[email protected] (V.I.);
[email protected] (B.L.);
[email protected] (S.S.);
[email protected] (A.D.C.);
[email protected] (M.D.G.) Research Unit of Occupational Medicine, Sapienza University of Rome, 00185 Rome, Italy;
[email protected] Correspondence:
[email protected]; Tel.: +39-06-496943-08
Received: 30 October 2017; Accepted: 17 January 2018; Published: 19 January 2018
Abstract: The aim of this work is investigate relationship between health-related quality of life and work-related stress and the impact of gender, education level, and age on this relationship. A cross-sectional study was conducted among workers of various setting in Rome and Frosinone. Work-related stress was measured with a demand–control questionnaire and health-related functioning by SF (short form)-12 health survey. There were 611 participants. Men reported high mental composite summary (MCS) and physical composite summary (PCS). In multivariate analysis age, gender (p < 0.001) and job demand (0.045) predicted low PCS. Low MCS predicted poor PCS. Job demand and educational level resulted negatively associated with MCS. In an analysis stratified for age, gender, and educational level, gender and age resulted effect modifier for MCS, gender and education level for PCS. In women increase of decision latitude predict (p = 0.001) an increase in MCS; a low job demand predict high MCS in male (p ≤ 0.001). In younger workers, a lower level of job demand predicted high MCS (
