Social jet lag and its influencing factors in helicopter pilots

Yan LIU; Xin YU; Haowu GU; Baoquan CHENG; Hua FENG; Jishu XIAN; Rui WANG; Yulian QUAN; Fei LI; Tunan CHEN; Lihua WANG

doi:10.16016/j.2097-0927.202201152

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Social jet lag and its influencing factors in helicopter pilots

Military Medicine | 更新时间：2026-01-09

- Social jet lag and its influencing factors in helicopter pilots
- Journal of Army Medical University Vol. 44, Issue 9, Pages: 855-861(2022)
- 作者机构：
  
  1.400038 重庆，陆军军医大学(第三军医大学)第一附属医院：院办
  2.610083 成都，西部战区陆军航空兵旅场站
  3.400038 重庆，陆军军医大学(第三军医大学)第一附属医院：神经外科
  4.400038 重庆，陆军军医大学(第三军医大学)第一附属医院：陆军航空医学教研室
- 作者简介：
- 基金信息：
  
  the Key Project of Application Basic Research of Logistic Support Department of Central Military Commission(BLJ18C008)
- DOI：10.16016/j.2097-0927.202201152
  CLC： R851.6; R871
- Received：17 January 2022，
  
  Revised：2022-03-08，
  
  Published：15 May 2022
- 稿件说明：
移动端阅览
Yan LIU, Xin YU, Haowu GU, et al. Social jet lag and its influencing factors in helicopter pilots[J]. Journal of Army Medical University, 2022, 44(9): 855-861.
DOI：

Yan LIU, Xin YU, Haowu GU, et al. Social jet lag and its influencing factors in helicopter pilots[J]. Journal of Army Medical University, 2022, 44(9): 855-861. DOI： 10.16016/j.2097-0927.202201152.

摘要

目的

了解某部队直升机飞行员作业期间的社交时差(social jet lag，SJL)并探讨其影响因素。

方法

通过智能手表收集2021年10月14~30日某直升机部队作业期间飞行员(

=41)的客观资料：睡眠时间、睡眠质量、压力、步数信息；采用自主研发的睡眠评估系统收集受试者的主观资料：一般资料、匹兹堡睡眠质量指数量表(Pittsburgh sleep quality index scale，PSQI)。通过SPSS 25.0分析数据，计量资料采用描述性分析，计数资料采用频率分析，Pearson相关分析变量间的相关性，逐步线性回归分析影响因素。

结果

共有33名男性飞行员的数据有效。平均SJL为(0.45±1.21) h；PSQI总分(6.64±2.70)分；总睡眠时长为(7.58±0.64) h，压力(35.45±10.76)分，步数(1.10±0.25)万步。与SJL相关的变量有：压力(

=0.45)、失眠程度(

=0.39)、疲劳状态(

=0.54)、睡眠效率(

=0.43)、清醒次数(

=0.52)、步数(

=-0.39)和深睡时长(

=-0.49)，

0.05。逐步线性回归分析结果提示疲劳、夜间清醒、运动、压力、婚姻和吸烟是SJL的相关因素。

结论

直升机飞行员的SJL严重，39%SJL＞1 h；疲劳、夜间睡眠质量差、压力、单身、吸烟会加重SJL，运动可以改善SJL。航空卫生保健应重视对飞行员SJL的评估。

Abstract

Objective

To investigate the current status of social jet lag (SJL) in army helicopter pilots and explore its influencing factors.

Methods

Objective data

including SJL

sleep time

sleep quality

pressure and number of daily steps in the army aviators were collected by a smart watch from December 14 to 30 in 2021. Subjective data including socio-demographic and results of Pittsburgh sleep quality index scale (PSQI) were collected by self-developed sleep assessment APP. SPSS statistics 25.0 was used for statistical analysis. Descriptive analysis was adopted for measurement data

and frequency analysis was employed for enumerate data. Pearson correlation analysis and stepwise linear regression analysis were performed respectively to analyze the correlation of variables and the influencing factors for SJL.

Results

Finally

eligible data were collected from 33 male pilots. Their average SJL was 0.45±1.21 h

total PSQI score 6.64±2.70

total sleep duration 7.58±0.64 h

average pressure score 35.45±10.76

and average daily steps (1

1.0±2.5)×10

steps. The variables correlated with SJL were stress (

=0.45)

insomnia severity (

=0.39)

fatigue status (

=0.54)

sleep efficiency (

=0.43)

times of waking (

=0.52)

daily steps (

=-0.39)

and duration of deep sleep (

=-0.49) (all

0.05). The results of stepwise linear regression analysis suggested that fatigue

wakeup time during night

exercise

stress

marriage and smoking were related factors of SJL.

Conclusion

Helicopter pilots have severe SJL

with 39% of them having SJL longer than 1 h. Fatigue

poor nighttime sleep quality

stress

singleness and smoking can aggravate SJL

while exercise can attenuate SJL. Special attention should be paid to SJL evaluation for pilots in aviation health care.

关键词

Keywords

references

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