INTRODUCTION: In compliance with the Italian occupational health and safety regulatory framework, as provided by the Lgs. Decree 81/2008, the "work-related stress" risk assessment should follow the same principles as other risk assessments, in accordance with the European Agreement of 8 October 2004; therefore, validated and scientifically proven methodological tools are needed to conduct an adequate work-related stress risk assessment. The UK's Health Safety and Executive (HSE) Indicator Tool (IT) is used for assessing the risk of work-related stress. The aim of this study is to test the factor structure of IT as a measure of work-related stress in a sample of Italian workers. METHODS: Data collected from 65 Italian organizations (6378 workers) was used for a Confirmatory Factor Analysis (CFA) on the 35-item seven-factor model. RESULTS: The results showed acceptable fit to the data (CFI .90; TLI .89, RMSEA .045). A second CFA was done to test a 35-item six-factor model (CFI .89, TLI .87, RMSEA .047). Both models were tested after removing six items (factor loadings less than .50.), resulting in a 29-item model. Here again, there was an acceptable fit to the data (29-item seven-factor model: CFI .93, TLI .91, RMSEA .044; 29-item six-factor model: CFI .92, TLI .90, RMSEA .046). DISCUSSIONS: These findings show that the HSE model satisfactorily adapts to use in a sample of Italian workers. One of the most important innovations introduced in the assessment of work-related stress with the HSE IT is the global approach for identifying work-related stress risk factors, aimed at establishing the best strategy from the viewpoints of prevention officers and also of workers.
INTRODUCTION: In compliance with the Italian occupational health and safety regulatory framework, as provided by the Lgs. Decree 81/2008, the "work-related stress" risk assessment should follow the same principles as other risk assessments, in accordance with the European Agreement of 8 October 2004; therefore, validated and scientifically proven methodological tools are needed to conduct an adequate work-related stress risk assessment. The UK's Health Safety and Executive (HSE) Indicator Tool (IT) is used for assessing the risk of work-related stress. The aim of this study is to test the factor structure of IT as a measure of work-related stress in a sample of Italian workers. METHODS: Data collected from 65 Italian organizations (6378 workers) was used for a Confirmatory Factor Analysis (CFA) on the 35-item seven-factor model. RESULTS: The results showed acceptable fit to the data (CFI .90; TLI .89, RMSEA .045). A second CFA was done to test a 35-item six-factor model (CFI .89, TLI .87, RMSEA .047). Both models were tested after removing six items (factor loadings less than .50.), resulting in a 29-item model. Here again, there was an acceptable fit to the data (29-item seven-factor model: CFI .93, TLI .91, RMSEA .044; 29-item six-factor model: CFI .92, TLI .90, RMSEA .046). DISCUSSIONS: These findings show that the HSE model satisfactorily adapts to use in a sample of Italian workers. One of the most important innovations introduced in the assessment of work-related stress with the HSE IT is the global approach for identifying work-related stress risk factors, aimed at establishing the best strategy from the viewpoints of prevention officers and also of workers.
Authors: A Ranavolo; M Serrao; T Varrecchia; C Casali; A Filla; A Roca; A Silvetti; C Marcotulli; B M Rondinone; S Iavicoli; F Draicchio Journal: Cerebellum Date: 2019-10 Impact factor: 3.847
Authors: Valerio Ghezzi; Tahira M Probst; Laura Petitta; Valeria Ciampa; Matteo Ronchetti; Cristina Di Tecco; Sergio Iavicoli; Claudio Barbaranelli Journal: Int J Environ Res Public Health Date: 2020-05-21 Impact factor: 3.390
Authors: Cristina Di Tecco; Karina Nielsen; Monica Ghelli; Matteo Ronchetti; Ivan Marzocchi; Benedetta Persechino; Sergio Iavicoli Journal: Int J Environ Res Public Health Date: 2020-05-23 Impact factor: 3.390
Authors: Stephen Wood; Valerio Ghezzi; Claudio Barbaranelli; Cristina Di Tecco; Roberta Fida; Maria Luisa Farnese; Matteo Ronchetti; Sergio Iavicoli Journal: Front Psychol Date: 2019-12-20
Authors: Benedetta Persechino; Antonio Valenti; Matteo Ronchetti; Bruna Maria Rondinone; Cristina Di Tecco; Sara Vitali; Sergio Iavicoli Journal: Saf Health Work Date: 2013-05-16