Suppr超能文献

倒班工作时间和夜班工作负荷对体重指数的影响:一项四年的纵向研究。

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

机构信息

Department of Global Public Health and Primary Care, University of Bergen, Kalfarlien 31, 5018 Bergen, Norway.

出版信息

Scand J Work Environ Health. 2018 May 1;44(3):251-257. doi: 10.5271/sjweh.3702. Epub 2018 Jan 7.

Abstract

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.

摘要

目的

本研究旨在调查在四年随访期间,不同工作时间表和每年平均夜班数量的变化对体重指数(BMI)的影响。

方法

对挪威护士(N=2965 人)进行了一项前瞻性研究,研究人员根据不同的工作时间表将护士分为:只上白班、两班倒(白天和晚上班)、三班倒(白天、晚上和夜班)、只上夜班、从其他班次转为夜班以及从包含夜班的班次转走。采用配对学生 t 检验评估亚组内 BMI 的变化。采用多元线性回归分析,在校正基线 BMI、性别、年龄、婚姻状况、是否有孩子在家、毕业年限等因素后,评估不同组别 BMI 的影响。采用相同的回归模型,评估每年平均夜班数量对 BMI 变化的影响。

结果

我们发现,夜班工作者(平均差值 [MD] 1.30 [95%置信区间 0.70-1.90])、两班倒工作者(MD 0.48 [95%置信区间 0.20-0.75])、三班倒工作者(MD 0.46 [95%置信区间 0.30-0.62])以及从其他班次转至非夜班或转至夜班工作的工作者(MD 0.57 [95%置信区间 0.17-0.84]或 MD 0.63 [95%置信区间 0.20-1.05])在随访期间 BMI 均显著增加(P<0.01)。然而,只上白班的工作者 BMI 则没有明显增加。采用多元线性回归分析,我们发现夜班工作者 BMI 增加量显著大于只上白班的工作者 [B=0.89(95%置信区间 0.06-1.72),P<0.05]。我们采用多元线性回归模型,未发现每年平均夜班数量与 BMI 变化之间存在显著关联。

结论

在校正可能的混杂因素后,我们发现夜班工作者 BMI 增加量显著大于只上白班的工作者。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验