Workability, quality of life and cardiovascular risk markers in aging nightshift workers: a pilot study.
Aging workers
Biomarkers
Night shift work
WAI
WHOQOL
Journal
Wiener klinische Wochenschrift
ISSN: 1613-7671
Titre abrégé: Wien Klin Wochenschr
Pays: Austria
ID NLM: 21620870R
Informations de publication
Date de publication:
Apr 2022
Apr 2022
Historique:
received:
11
05
2021
accepted:
21
07
2021
pubmed:
7
9
2021
medline:
26
4
2022
entrez:
6
9
2021
Statut:
ppublish
Résumé
In aging healthcare professionals, multiple stressors such as night work may affect life and work satisfaction and risk for chronic diseases (e.g. cardiovascular disease [CVD]). In this pilot study we compared workability, quality of life (QoL), and CVD risk markers between night shift and day workers. We included 70 hospital employees (mean age 52 ± 4 years, 91.4% female): 32 rotating night shift workers (> 3 nights/month) and 38 permanent day workers. In addition to sociodemographic, lifestyle, and sleep characteristics, we assessed i) workability index (WAI), ii) QoL (World Health Organization Quality of Life [WHOQOL-Bref]) and iii) CVD risk markers, i.e. carotid ultrasound measurements, and biomarkers (NTproBNP, CRP, IL‑6, LDL, ferritin, copper, zinc, and selenium). WAI, QoL, and CVD risk markers were compared between night and day workers. In a subgroup of participants (N = 38) with complete data, we used quantile regression analysis to estimate age and multivariate adjusted differences in biomarker levels. We found no differences in the domains of QoL (physical health, psychological, social relationships, and environment) and WAI scores between night and day workers. Night shift workers were less likely to report excellent workability than day workers, although differences were not statistically significant. Night shift workers reported more sleep problems (73.1% vs. 55.6%) and tended to have lower zinc levels and higher inflammatory markers (CRP, IL‑6, ferritin), but differences were not significant after adjusting for potential confounders. Workability, QoL and CVD markers did not significantly differ between rotating night shift and day workers in this small pilot study. Sleep problems and inflammatory marker levels carry implications for occupational health.
Sections du résumé
BACKGROUND
BACKGROUND
In aging healthcare professionals, multiple stressors such as night work may affect life and work satisfaction and risk for chronic diseases (e.g. cardiovascular disease [CVD]). In this pilot study we compared workability, quality of life (QoL), and CVD risk markers between night shift and day workers.
METHODS
METHODS
We included 70 hospital employees (mean age 52 ± 4 years, 91.4% female): 32 rotating night shift workers (> 3 nights/month) and 38 permanent day workers. In addition to sociodemographic, lifestyle, and sleep characteristics, we assessed i) workability index (WAI), ii) QoL (World Health Organization Quality of Life [WHOQOL-Bref]) and iii) CVD risk markers, i.e. carotid ultrasound measurements, and biomarkers (NTproBNP, CRP, IL‑6, LDL, ferritin, copper, zinc, and selenium). WAI, QoL, and CVD risk markers were compared between night and day workers. In a subgroup of participants (N = 38) with complete data, we used quantile regression analysis to estimate age and multivariate adjusted differences in biomarker levels.
RESULTS
RESULTS
We found no differences in the domains of QoL (physical health, psychological, social relationships, and environment) and WAI scores between night and day workers. Night shift workers were less likely to report excellent workability than day workers, although differences were not statistically significant. Night shift workers reported more sleep problems (73.1% vs. 55.6%) and tended to have lower zinc levels and higher inflammatory markers (CRP, IL‑6, ferritin), but differences were not significant after adjusting for potential confounders.
CONCLUSIONS
CONCLUSIONS
Workability, QoL and CVD markers did not significantly differ between rotating night shift and day workers in this small pilot study. Sleep problems and inflammatory marker levels carry implications for occupational health.
Identifiants
pubmed: 34487198
doi: 10.1007/s00508-021-01928-6
pii: 10.1007/s00508-021-01928-6
pmc: PMC9023427
doi:
Substances chimiques
Biomarkers
0
Interleukin-6
0
Ferritins
9007-73-2
Zinc
J41CSQ7QDS
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
276-285Informations de copyright
© 2021. The Author(s).
Références
Scand J Work Environ Health. 1997;23 Suppl 1:66-71
pubmed: 9247997
Rev Saude Publica. 2001 Dec;35(6):548-53
pubmed: 11799468
Work. 2020;65(1):137-143
pubmed: 31868720
Atherosclerosis. 2008 Nov;201(1):205-11
pubmed: 18321520
Int Arch Occup Environ Health. 2014 Nov;87(8):897-907
pubmed: 24526111
Am J Clin Nutr. 2006 Oct;84(4):762-73
pubmed: 17023702
Cerebrovasc Dis. 2007;23(1):75-80
pubmed: 17108679
Chronobiol Int. 2013 May;30(4):628-36
pubmed: 23445510
Chronobiol Int. 2008 Apr;25(2):425-42
pubmed: 18484372
Qual Life Res. 2001;10(8):711-21
pubmed: 11871592
Indian J Occup Environ Med. 2011 Jan;15(1):38-41
pubmed: 21808500
Int J Epidemiol. 1996 Apr;25(2):259-65
pubmed: 9119550
Ind Health. 2007 Apr;45(2):296-300
pubmed: 17485874
Chronobiol Int. 2017;34(7):876-885
pubmed: 28590149
Occup Med (Lond). 2006 Sep;56(6):362-4
pubmed: 16931565
Nutrition. 2010 Nov-Dec;26(11-12):1050-7
pubmed: 20950764
Scand J Work Environ Health. 1992;18 Suppl 2:8-10
pubmed: 1514096
PLoS One. 2009;4(2):e4589
pubmed: 19240794
Occup Med (Lond). 2010 May;60(3):193-204
pubmed: 20423950
Chronobiol Int. 2006;23(6):1165-79
pubmed: 17190703
Eur J Epidemiol. 2010 May;25(5):305-14
pubmed: 20237824
Eur J Prev Cardiol. 2018 Aug;25(12):1293-1302
pubmed: 29929393
J Intern Med. 2007 Mar;261(3):285-92
pubmed: 17305651
Scand J Work Environ Health. 2018 May 1;44(3):229-238
pubmed: 29247501
Appl Ergon. 2017 Mar;59(Pt A):320-325
pubmed: 27890143
Chronobiol Int. 2021 Jun;38(6):893-906
pubmed: 33757396
Int J Public Health. 2012 Apr;57(2):371-81
pubmed: 21901333
Emerg Med J. 2013 Apr;30(4):275-9
pubmed: 22573906
Biomed Res Int. 2019 Apr 11;2019:8327629
pubmed: 31111068
Saf Health Work. 2016 Mar;7(1):43-8
pubmed: 27014490
Atherosclerosis. 2020 Nov;313:156-169
pubmed: 33069952
Work. 2012;41 Suppl 1:316-9
pubmed: 22316742
Curr Diab Rep. 2018 Oct 20;18(12):132
pubmed: 30343445
Acta Med Croatica. 2010 Dec;64(5):391-5
pubmed: 21692263
BMC Res Notes. 2015 Dec 18;8:798
pubmed: 26682743
Int J Chronobiol. 1976;4(2):97-110
pubmed: 1027738
Int Arch Occup Environ Health. 2016 Nov;89(8):1169-1182
pubmed: 27379667
Workplace Health Saf. 2018 Apr;66(4):191-200
pubmed: 29241421
BMC Health Serv Res. 2016 Sep 05;16 Suppl 5:329
pubmed: 27609070
PLoS One. 2020 Apr 2;15(4):e0231037
pubmed: 32240254
Open Heart. 2018 Oct 8;5(2):e000784
pubmed: 30364437
Rev Lat Am Enfermagem. 2010 May-Jun;18(3):413-20
pubmed: 20721431
Appl Ergon. 2019 Nov;81:102906
pubmed: 31422269
Indian J Occup Environ Med. 2016 May-Aug;20(2):71-72
pubmed: 28194078
Scand J Work Environ Health. 2018 Jul 1;44(4):394-402
pubmed: 29641837