Work Ability among Italian Bank Video Display Terminal Operators: Socio-Demographic, Lifestyle, and Occupational Correlates.
Giacomo GarzaroIlaria SottimanoMatteo Di MasoEnrico BergamaschiMaurizio CoggiolaDaniela ConversoSergio IavicoliEnrico PiraSara ViottiPublished in: International journal of environmental research and public health (2019)
Bank employees, especially video display terminal (VDT) operators, are constantly exposed to various occupational risks, such as the adoption of awkward postures, repetitive finger movements, and utilization of software with poor usability, which may lead to computer visual syndrome, tension headache, lower back pain, and/or stress, which compromises their overall health and work ability (WA). Thus, in this cross-sectional study, we aimed to establish that the determinants among socio-demographic, lifestyle, and occupational characteristics are associated with impaired WA in bank VDT operators. To this end, we administered a set of socio-demographic, lifestyle, occupational, and Work Ability Index (WAI) questionnaires to 2077 Italian bank VDT operators. Univariate linear regression models reveal that their mean WAI score is inversely associated with gender, age, dependent family members, and a part-time job, whereas it is directly associated with the educational level and physical activity. In addition, multivariate analysis shows that their mean WAI score is inversely associated with age and a part-time job, but was directly associated with the educational level, the marital status, and physical activity. Overall, VDT operators working in Italian banks display high WA even though this latter tends to decline with aging. In light of the progressive aging of the workforce in Italy, our results provide the rationale for the design of interventions aimed to mitigate the detrimental effects of aging on WA of bank VDT operators.
Keyphrases
- physical activity
- metabolic syndrome
- public health
- cardiovascular disease
- healthcare
- body mass index
- mental health
- multiple sclerosis
- electronic health record
- health information
- social support
- data analysis
- sleep quality
- gene expression
- deep learning
- human health
- genome wide
- type diabetes
- high frequency
- depressive symptoms
- climate change