Abstract:Background: The use of palladium (Pd) is increasing in metal objects after the banning of nickel in items in prolonged contact with the skin. The properties of Pd make this metal useful in various industrial fields.Objective: The aim of the study was to evaluate the prevalence of Pd sensitization in patients who underwent patch tests for suspected allergic contact dermatitis in the Triveneto region from 2013 to 2018.Methods: A total of 4816 patients with symptoms and/or signs of suspected contact allergic derm… Show more
“…Such data are free from reporting or memory bias adding to earlier knowledge based on mainly survey data 15 18–23. However, a limitation is that we had no information on the reasons for part-time work which may be due to, for example, health, personal matters or unavailability of full-time work 45 46. We also cannot rule out the healthy worker bias but assume it might not play a major role.…”
ObjectivesTo investigate the concurrent changes in part-time work and sickness absence (SA) in healthcare. Another aim was to investigate the role of age and sex on different concurrent trajectory groups.DesignProspective cohort study.SettingPublic hospital districts (n=10) and cities (n=11) in Finland.ParticipantsPayroll-based objective working hour data of the healthcare sector in Finland for 28 969 employees in 2008–2019 were used. The final sample included those working shifts with 3 consecutive years of data and without baseline (≥14 days) SA.Primary outcomesPart-time work (yes or no) and months of SA.MeasuresGroup-based trajectory modelling to identify concurrent changes in part-time work, and months of SA while controlling the time-variant amount of night work and multinomial regression models for relative risk (RR) with 95% CIs were used.ResultsFour-group trajectory model was the best solution: group 1 (61.2%) with full-time work and no SA, group 2 (16.9%) with slowly increasing probability of part-time work and low but mildly increasing SA, group 3 (17.6%) with increasing part-time work and no SA, and group 4 (4.3%) with fluctuating, increasing part-time work and highest and increasing levels of SA. Men had a lower (RR 0.49–0.75) and older age groups had a higher likelihood (RRs 1.32–3.79) of belonging to trajectory groups 2–4.ConclusionsMost of the sample were in the trajectory group with full-time work and no SA. The probability of part-time work increased over time, linked with concurrent low increase or no SA. A minor group of employees had both an increased probability of part-time work and SA. Part-time work and other solutions might merit attention to promote sustainable working life among healthcare employees.
“…Such data are free from reporting or memory bias adding to earlier knowledge based on mainly survey data 15 18–23. However, a limitation is that we had no information on the reasons for part-time work which may be due to, for example, health, personal matters or unavailability of full-time work 45 46. We also cannot rule out the healthy worker bias but assume it might not play a major role.…”
ObjectivesTo investigate the concurrent changes in part-time work and sickness absence (SA) in healthcare. Another aim was to investigate the role of age and sex on different concurrent trajectory groups.DesignProspective cohort study.SettingPublic hospital districts (n=10) and cities (n=11) in Finland.ParticipantsPayroll-based objective working hour data of the healthcare sector in Finland for 28 969 employees in 2008–2019 were used. The final sample included those working shifts with 3 consecutive years of data and without baseline (≥14 days) SA.Primary outcomesPart-time work (yes or no) and months of SA.MeasuresGroup-based trajectory modelling to identify concurrent changes in part-time work, and months of SA while controlling the time-variant amount of night work and multinomial regression models for relative risk (RR) with 95% CIs were used.ResultsFour-group trajectory model was the best solution: group 1 (61.2%) with full-time work and no SA, group 2 (16.9%) with slowly increasing probability of part-time work and low but mildly increasing SA, group 3 (17.6%) with increasing part-time work and no SA, and group 4 (4.3%) with fluctuating, increasing part-time work and highest and increasing levels of SA. Men had a lower (RR 0.49–0.75) and older age groups had a higher likelihood (RRs 1.32–3.79) of belonging to trajectory groups 2–4.ConclusionsMost of the sample were in the trajectory group with full-time work and no SA. The probability of part-time work increased over time, linked with concurrent low increase or no SA. A minor group of employees had both an increased probability of part-time work and SA. Part-time work and other solutions might merit attention to promote sustainable working life among healthcare employees.
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