Shift work schedule and night work load: Effects on body mass index - a four-year longitudinal study

OBJECTIVES: The aim of this study was to investigate changes in body mass index (BMI) between different work schedules and different average number of yearly night shifts over a four-year follow-up period. METHODS: A prospective study of Norwegian nurses (N=2965) with different work schedules was co...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Hogne Vikanes Buchvold (Συγγραφέας), Ståle Pallesen (Συγγραφέας), Siri Waage (Συγγραφέας), Bjørn Bjorvatn (Συγγραφέας)
Μορφή: Βιβλίο
Έκδοση: Nordic Association of Occupational Safety and Health (NOROSH), 2018-05-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Hogne Vikanes Buchvold  |e author 
700 1 0 |a Ståle Pallesen  |e author 
700 1 0 |a Siri Waage  |e author 
700 1 0 |a Bjørn Bjorvatn  |e author 
245 0 0 |a Shift work schedule and night work load: Effects on body mass index - a four-year longitudinal study 
260 |b Nordic Association of Occupational Safety and Health (NOROSH),   |c 2018-05-01T00:00:00Z. 
500 |a 0355-3140 
500 |a 1795-990X 
500 |a 10.5271/sjweh.3702 
520 |a OBJECTIVES: The aim of this study was to investigate changes in body mass index (BMI) between different work schedules and different average number of yearly night shifts over a four-year follow-up period. METHODS: A prospective study of Norwegian nurses (N=2965) with different work schedules was conducted: day only, two-shift rotation (day and evening shifts), three-shift rotation (day, evening and night shifts), night only, those who changed towards night shifts, and those who changed away from schedules containing night shifts. Paired student's t-tests were used to evaluate within subgroup changes in BMI. Multiple linear regression analysis was used to evaluate between groups effects on BMI when adjusting for BMI at baseline, sex, age, marital status, children living at home, and years since graduation. The same regression model was used to evaluate the effect of average number of yearly night shifts on BMI change. RESULTS: We found that night workers [mean difference (MD) 1.30 (95% CI 0.70-1.90)], two shift workers [MD 0.48 (95% CI 0.20-0.75)], three shift workers [MD 0.46 (95% CI 0.30-0.62)], and those who changed work schedule away from [MD 0.57 (95% CI 0.17-0.84)] or towards night work [MD 0.63 (95% CI 0.20-1.05)] all had significant BMI gain (P<0.01) during the follow-up period. However, day workers had a non-significant BMI gain. Using adjusted multiple linear regressions, we found that night workers had significantly larger BMI gain compared to day workers [B=0.89 (95% CI 0.06-1.72), P<0.05]. We did not find any significant association between average number of yearly night shifts and BMI change using our multiple linear regression model. CONCLUSIONS: After adjusting for possible confounders, we found that BMI increased significantly more among night workers compared to day workers. 
546 |a EN 
690 |a night worker 
690 |a obesity 
690 |a shift worker 
690 |a body mass index 
690 |a night shift 
690 |a body mass index 
690 |a cvd 
690 |a shift work schedule 
690 |a bmi 
690 |a night work load 
690 |a cardiovascular disease 
690 |a longitudinal study 
690 |a shift work 
690 |a night work 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Scandinavian Journal of Work, Environment & Health, Vol 44, Iss 3, Pp 251-257 (2018) 
787 0 |n  https://www.sjweh.fi/show_abstract.php?abstract_id=3702  
787 0 |n https://doaj.org/toc/0355-3140 
787 0 |n https://doaj.org/toc/1795-990X 
856 4 1 |u https://doaj.org/article/fd0c5a1535c94f42aa3d5e1cb4d1d2d0  |z Connect to this object online.