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Ageing shift workers’ sleep and working‐hour characteristics after implementing ergonomic shift‐scheduling rules

We studied whether implementing binding ergonomic shift‐scheduling rules change ageing (≥45 years) social and healthcare employees’ (mean age 52.5 years, 95% women) working‐hour characteristics (e.g. weekly working hours, number and length of night shifts, and short shift intervals) and sleep. We co...

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Autores principales: Karhula, Kati, Hakola, Tarja, Koskinen, Aki, Lallukka, Tea, Ojajärvi, Anneli, Puttonen, Sampsa, Oksanen, Tuula, Rahkonen, Ossi, Ropponen, Annina, Härmä, Mikko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8365717/
https://www.ncbi.nlm.nih.gov/pubmed/33166038
http://dx.doi.org/10.1111/jsr.13227
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author Karhula, Kati
Hakola, Tarja
Koskinen, Aki
Lallukka, Tea
Ojajärvi, Anneli
Puttonen, Sampsa
Oksanen, Tuula
Rahkonen, Ossi
Ropponen, Annina
Härmä, Mikko
author_facet Karhula, Kati
Hakola, Tarja
Koskinen, Aki
Lallukka, Tea
Ojajärvi, Anneli
Puttonen, Sampsa
Oksanen, Tuula
Rahkonen, Ossi
Ropponen, Annina
Härmä, Mikko
author_sort Karhula, Kati
collection PubMed
description We studied whether implementing binding ergonomic shift‐scheduling rules change ageing (≥45 years) social and healthcare employees’ (mean age 52.5 years, 95% women) working‐hour characteristics (e.g. weekly working hours, number and length of night shifts, and short shift intervals) and sleep. We compared an intervention group (n = 253) to a control group (n = 1,234) by survey responses (baseline 2007/2008, follow‐up 2012) and objective working‐hour characteristics (intervention group n = 159, control group n = 379) from 91 days preceding the surveys. Changes in working‐hour characteristics were analysed with repeated measures general linear models. The fully adjusted model (sociodemographics and full‐/part‐time work) showed that proportion of short shift intervals (<11 hr, p = .033) and weekend work (p = .01) decreased more in the intervention than in the control group. Changes in sleep outcomes were analysed with generalised logit model to binomial and multinomial variables. The fully adjusted model (sociodemographics, full‐/part‐time work, job strain, health behaviours, and perceived health) revealed higher odds in the intervention group for long sleep (≥9 hr; odds ratio [OR] 5.53, 95% confidence interval [CI] 2.21–13.80), and lower odds of short sleep (<6 hr; OR 0.72, 95% CI 0.57–0.92), having at least two sleep difficulties often (OR 0.55, 95% CI 0.43–0.70), and more specifically difficulties in falling asleep (OR 0.56, 95% CI 0.41–0.77), waking up several times per night (OR 0.43, 95% CI 0.34–0.55), difficulties in staying asleep (OR 0.64, 95% CI 0.49–0.82), and non‐restorative sleep (OR 0.70, 95% CI 0.54–0.90) than the control group. In conclusion, implementation of ergonomic shift‐scheduling rules resulted in minor changes in ageing employees’ objective working hours and a consistent buffering effect against worsening of sleep.
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spelling pubmed-83657172021-08-23 Ageing shift workers’ sleep and working‐hour characteristics after implementing ergonomic shift‐scheduling rules Karhula, Kati Hakola, Tarja Koskinen, Aki Lallukka, Tea Ojajärvi, Anneli Puttonen, Sampsa Oksanen, Tuula Rahkonen, Ossi Ropponen, Annina Härmä, Mikko J Sleep Res Shift Work and Sleep Loss We studied whether implementing binding ergonomic shift‐scheduling rules change ageing (≥45 years) social and healthcare employees’ (mean age 52.5 years, 95% women) working‐hour characteristics (e.g. weekly working hours, number and length of night shifts, and short shift intervals) and sleep. We compared an intervention group (n = 253) to a control group (n = 1,234) by survey responses (baseline 2007/2008, follow‐up 2012) and objective working‐hour characteristics (intervention group n = 159, control group n = 379) from 91 days preceding the surveys. Changes in working‐hour characteristics were analysed with repeated measures general linear models. The fully adjusted model (sociodemographics and full‐/part‐time work) showed that proportion of short shift intervals (<11 hr, p = .033) and weekend work (p = .01) decreased more in the intervention than in the control group. Changes in sleep outcomes were analysed with generalised logit model to binomial and multinomial variables. The fully adjusted model (sociodemographics, full‐/part‐time work, job strain, health behaviours, and perceived health) revealed higher odds in the intervention group for long sleep (≥9 hr; odds ratio [OR] 5.53, 95% confidence interval [CI] 2.21–13.80), and lower odds of short sleep (<6 hr; OR 0.72, 95% CI 0.57–0.92), having at least two sleep difficulties often (OR 0.55, 95% CI 0.43–0.70), and more specifically difficulties in falling asleep (OR 0.56, 95% CI 0.41–0.77), waking up several times per night (OR 0.43, 95% CI 0.34–0.55), difficulties in staying asleep (OR 0.64, 95% CI 0.49–0.82), and non‐restorative sleep (OR 0.70, 95% CI 0.54–0.90) than the control group. In conclusion, implementation of ergonomic shift‐scheduling rules resulted in minor changes in ageing employees’ objective working hours and a consistent buffering effect against worsening of sleep. John Wiley and Sons Inc. 2020-11-09 2021-08 /pmc/articles/PMC8365717/ /pubmed/33166038 http://dx.doi.org/10.1111/jsr.13227 Text en © 2020 The Authors. Journal of Sleep Research published by John Wiley & Sons Ltd on behalf of European Sleep Research Society https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Shift Work and Sleep Loss
Karhula, Kati
Hakola, Tarja
Koskinen, Aki
Lallukka, Tea
Ojajärvi, Anneli
Puttonen, Sampsa
Oksanen, Tuula
Rahkonen, Ossi
Ropponen, Annina
Härmä, Mikko
Ageing shift workers’ sleep and working‐hour characteristics after implementing ergonomic shift‐scheduling rules
title Ageing shift workers’ sleep and working‐hour characteristics after implementing ergonomic shift‐scheduling rules
title_full Ageing shift workers’ sleep and working‐hour characteristics after implementing ergonomic shift‐scheduling rules
title_fullStr Ageing shift workers’ sleep and working‐hour characteristics after implementing ergonomic shift‐scheduling rules
title_full_unstemmed Ageing shift workers’ sleep and working‐hour characteristics after implementing ergonomic shift‐scheduling rules
title_short Ageing shift workers’ sleep and working‐hour characteristics after implementing ergonomic shift‐scheduling rules
title_sort ageing shift workers’ sleep and working‐hour characteristics after implementing ergonomic shift‐scheduling rules
topic Shift Work and Sleep Loss
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8365717/
https://www.ncbi.nlm.nih.gov/pubmed/33166038
http://dx.doi.org/10.1111/jsr.13227
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