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Cited by 312

The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.

Characterization of Home Working Population during COVID-19 Emergency: A Cross-Sectional Analysis

Open access
Moretti, Antimo, Menna, Fabrizio, Aulicino, Milena, Paoletta, Marco, Liguori, Sara, Iolascon, Giovanni·2020·International Journal of Environmental Research and Public Health

Abstract

Evidence about the characterization of home workers in terms of both work-related outcomes and health issues is lacking. The purpose of this cross-sectional study was to examine the impact of home working on perceived job productivity and satisfaction, work-related stress, and musculoskeletal (MSK) issues. We included 51 mobile workers, collecting data about demographic characteristics, working experience, job productivity, and stress. Job satisfaction was assessed through the Utrecht Work Engagement Scale (UWES), while MSK pain was investigated by the Brief Pain Inventory (BPI) and Fear Avoidance Beliefs Questionnaire (FABQ). Moreover, a home workplace analysis had to be carried out according to current Italian regulations. Participants declared that they were less productive (39.2%) but less stressed (39.2%) and equally satisfied (51%) compared to the time of office working. Regarding MSK disorders, low back pain (LBP) was referred by 41.2% of home workers and neck pain by 23.5% of them. Neck pain worsened in 50% of home workers, while LBP did not exacerbate in 47.6% of cases. Home workers with MSK pain reported a lower job satisfaction. Depending on our data, the home environment seems to be not adequate in the mobile worker population, with an increased risk for mental health and MSK problems, particularly affecting the spine. Addressing these issues can significantly reduce risks for health, thus, improving job productivity and satisfaction and reducing cost.

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Crossref · 10.3390/ijerph17176284

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Metadata

Authors
Moretti, A., Menna, F., Aulicino, M., Paoletta, M., Liguori, S., & Iolascon, G.
Venue
International Journal of Environmental Research and Public Health
Publisher
MDPI AG
Published
2020-08-28
Volume
17
Issue
17
Pages
6284
ISSN
1660-4601 (ISSN-L)
OpenAlex
W3082404666
Cited by
312
References
26
FWCI
58.98
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Characterization of Home Working Population during COVID-19 Emergency: A Cross-Sectional Analysis. https://app.cochat.ai/papers/10.3390/ijerph17176284
The paper
Moretti, A., Menna, F., Aulicino, M., Paoletta, M., Liguori, S., & Iolascon, G. (2020). Characterization of Home Working Population during COVID-19 Emergency: A Cross-Sectional Analysis. International Journal of Environmental Research and Public Health. https://doi.org/10.3390/ijerph17176284

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.