Night shift work characteristics are associated with several elevated metabolic risk factors and immune cell counts in a cross-sectional study

Astrid A. Streng, Bette Loef, Martijn E.T. Dollé, Gijsbertus T.J. van der Horst, Inês Chaves, Karin I. Proper, Linda W.M. van Kerkhof*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

21 Citations (Scopus)
39 Downloads (Pure)

Abstract

Night shift work is associated with increased health risks. Here we examined the association of metabolic risk factors and immune cell counts, with both night shift work and particular characteristics thereof: frequency, duration and consecutive night shifts. We performed a cross-sectional study using data from 10,201 non-shift workers and 1062 night shift workers of the Lifelines Cohort study. Linear regression analyses, adjusted for demographic, lifestyle and occupational factors, were used to study associations of night shift work characteristics with metabolic risk factors and immune cell counts. Night shift workers had an increased BMI, waist circumference and immune cell counts compared to non-shift workers. This was especially seen in night shift workers who had a higher frequency of night shifts per month (≥ 5: BMI: B = 0.81 kg/m2 (95%-CI = 0.43–1.10); waist circumference: B = 1.58 cm (95%-Cl = 0.34–1.71; leukocytes: B = 0.19 × 109 cells/L (95%-CI = 0.04–0.34 × 109)) and worked more consecutive night shifts (> 3: BMI: B = 0.92 kg/m2 (95%-CI = 0.41–1.43); waist circumference: B = 1.85 cm (95%-Cl = 0.45–3.24); leukocytes: B = 0.32 × 109 cells/L (95%-CI = 0.09–0.55 × 109)). This association was less pronounced in long-term night shift workers (≥ 20 years). Our findings provide evidence for the association between night shift work characteristics and BMI, waist circumference and leukocytes (including, monocytes, lymphocytes, and basophil granulocytes).

Original languageEnglish
Article number2022
JournalScientific Reports
Volume12
Issue number1
DOIs
Publication statusPublished - 7 Feb 2022

Bibliographical note

Funding Information:
This study was funded by the SPR Programme of the Dutch National Institute for Public Health and the Environment (RIVM) (grant S015012), the Dutch Ministry of Social Affairs and Employment (KV11.16), Worldwide Cancer Research (grant 16-1345, title: Social jet lag: a cancer risk factor?) and the BioClock Consortium is funded by the NWA-ORC programme of the Dutch Research Council (project number 1292.19.077). The Lifelines Biobank initiative has been made possible by subsidy from the Dutch Ministry of Health, Welfare and Sport, the Dutch Ministry of Economic Affairs, the University Medical Center Groningen (UMCG the Netherlands), University Groningen and the Northern Provinces of the Netherlands. The authors wish to acknowledge the services of the Lifelines Cohort Study, the contributing research centres delivering data to Lifelines, and all the study participants.

Funding Information:
This study was funded by the SPR Programme of the Dutch National Institute for Public Health and the Environment (RIVM) (grant S015012), the Dutch Ministry of Social Affairs and Employment (KV11.16), Worldwide Cancer Research (grant 16-1345, title: Social jet lag: a cancer risk factor?) and the BioClock Consortium is funded by the NWA-ORC programme of the Dutch Research Council (project number 1292.19.077). The Lifelines Biobank initiative has been made possible by subsidy from the Dutch Ministry of Health, Welfare and Sport, the Dutch Ministry of Economic Affairs, the University Medical Center Groningen (UMCG the Netherlands), University Groningen and the Northern Provinces of the Netherlands. The authors wish to acknowledge the services of the Lifelines Cohort Study, the contributing research centres delivering data to Lifelines, and all the study participants.

Publisher Copyright:
© 2022, The Author(s).

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