TY  - JOUR
AU  - Rossi, Gemma Caterina Maria
AU  - Bettio, Federica
AU  - González Pérez, Mariano
AU  - Briola, Aba
AU  - Pasinetti, Gemma Ludovica Maria
AU  - Scudeller, Luigia
PY  - 2022
DO  - 10.3390/ijerph19052517
SN  - 1660-4601
UR  - https://hdl.handle.net/20.500.14352/72074
T2  - International Journal of Environmental Research and Public Health
AB  - Background. To validate the 17-item Computer Vision Symptom Scale questionnaire (CVSS17) in Italian. Methods. Cross-sectional validation study on video terminal (VDT) users and a reference sample of subjects not working at a VDT (control group),...
LA  - eng
M2  - 2517
PB  - MPDI
KW  - video display terminal workers
KW  - VDT
KW  - quality of life
KW  - ocular surface
KW  - asthenopia
KW  - computer vision symptom scale questionnaire
KW  - CVSS17
KW  - computer vision syndrome
KW  - dry eye
KW  - ocular surface disease
KW  - COVID-19
TI  - The 17-Item Computer Vision Symptom Scale Questionnaire (CVSS17): Translation, Validation and Reliability of the Italian Version
TY  - journal article
VL  - 19
ER  -