直升机飞行员脑力负荷、睡眠和疲劳的典型相关分析

刘艳; 程宝权; 于鑫; 顾昊武; 汪睿; 鲜继淑; 全玉莲; 李飞; 冯华; 陈图南; 王丽华

doi:10.16016/j.2097-0927.202201151

您当前的位置：

首页 >

文章列表页 >

直升机飞行员脑力负荷、睡眠和疲劳的典型相关分析

军事医学 | 更新时间：2026-01-09

- 直升机飞行员脑力负荷、睡眠和疲劳的典型相关分析
- Mental workload, sleep and fatigue in helicopter pilots: a canonical correlation analysis
- 陆军军医大学学报 2022年44卷第11期页码：1087-1093
- 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：
  
  [陈图南，E-mail: 417560002@qq.comCHEN Tunan, E-mail: 417560002@qq.com
  [王丽华，E-mail: 773569612@qq.comWANG Lihua, E-mail: 773569612@qq.com
- 基金信息：
  
  军委后勤保障部应用基础研究重点项目(BLJ18C008)
- DOI：10.16016/j.2097-0927.202201151
  中图分类号： B845.66;R338.6;R851.1
- 收稿：2022-01-17，
  
  修回：2022-03-08，
  
  纸质出版：2022-06-15
- 稿件说明：
移动端阅览
刘艳, 程宝权, 于鑫, 等. 直升机飞行员脑力负荷、睡眠和疲劳的典型相关分析[J]. 陆军军医大学学报, 2022,44(11):1087-1093.

Yan LIU, Baoquan CHENG, Xin YU, et al. Mental workload, sleep and fatigue in helicopter pilots: a canonical correlation analysis[J]. Journal of Army Medical University, 2022, 44(11): 1087-1093.
刘艳, 程宝权, 于鑫, 等. 直升机飞行员脑力负荷、睡眠和疲劳的典型相关分析[J]. 陆军军医大学学报, 2022,44(11):1087-1093. DOI： 10.16016/j.2097-0927.202201151.

Yan LIU, Baoquan CHENG, Xin YU, et al. Mental workload, sleep and fatigue in helicopter pilots: a canonical correlation analysis[J]. Journal of Army Medical University, 2022, 44(11): 1087-1093. DOI： 10.16016/j.2097-0927.202201151.

摘要

目的

了解直升机飞行员脑力负荷与睡眠、疲劳的关系，为进一步干预研究提供参考依据。

方法

采用整群抽样法，随机抽取某部队2021年9月12日至10月12日有航空作业的直升机飞行员，使用一般资料问卷、匹兹堡睡眠质量指数量表表(Pittsburgh sleep quality index

PSQI)、多维疲劳量表(multidimensional fatigue inventory

MFI)和脑力负荷量表(mental workload

MWL)，通过自主研发的“飞行员睡眠-疲劳-脑力负荷测量”APP进行调查。采用SPSS 26对一般资料以及各量表得分进行分析，脑力负荷与睡眠、疲劳进行典型相关分析。

结果

共有112名飞行员参与了本次调研，PSQI、MFI和MWL总得分分别为5.04±2.66、55.13±19.27和36.69±17.09。典型相关分析结果表明MWL与MFI之间的典型相关系数达到0.50，主要表现在体力需求和疲劳关系较大；MWL与PSQI的典型相关系数达到0.59，主要表现在体力需求和努力程度与睡眠效率关系较大；PSQI与MFI之间的相关系数达到0.58，主要表现在睡眠时长和疲劳关系较大。

结论

直升机飞行员的脑力负荷、睡眠质量和疲劳三者相互关系，应注重三者对直升机飞行员作训期间身心健康的共同影响，并根据主要的因素，为其提供全面、精准的干预方法。

Abstract

Objective

To investigate the relationships of mental workload with sleep quality and fatigue in army helicopter pilots in order to provide references for further intervention studies.

Methods

Cluster sampling was adopted to randomly select helicopter pilots from a military aviation unit who had training missions from September 12 to October 12

2021. The survey was conducted through the self-developed "Pilot Sleep-Fatigue-Brain Work Measurement" APP with the evaluation tools of general information questionnaire

Pittsburgh sleep quality index scale (PSQI)

multidimensional fatigue index (MFI-20) and NASA Task Index (MWL). SPSS statistics 26.0 was used to perform the statistical analysis for general data and the results of above scales. Canonical correlation analysis (CCA) was carried out to explore the interrelationship of sleep

fatigue and mental workload.

Results

A total of 112 pilots were subjected in this survey. The total scores of PSQI

MFI and MWL were 5.04±2.66

55.13±19.27 and 36.69±17.09

respectively. The results of CCA showed that the canonical correlation coefficient was 0.50 between MWL and MFI (indicating a strong correlation between physical demand and fatigue)

0.59 between MWL and PSQI (correlation of physical demand and effort with sleep efficiency)

and 0.58 between PSQI and MFI (correlation of sleep duration and fatigue).

Conclusion

Mental workload

sleep quality

and fatigue are related to each other in helicopter pilots. We should pay attention to the mutual influence of them on the physical and mental health in helicopter pilots

and provide them with comprehensive and precise intervention according to the main factors.

关键词

Keywords

references

于洮, 刘德宝, 孙梦婷, 等. 陆军航空兵飞行员睡眠状况与疲劳程度的相关性分析[J]. 华南国防医学杂志, 2018, 32(9): 639-641, 653. DOI:10.13730/j.issn.1009-2595.2018.09.011.

YU T, LIU D B, SUN M T, et al . Correlation analysis between sleep condition and fatigue degree of army aviation pilots[J ] . Mil Med J South China, 2018, 32(9): 639-641, 653. DOI:10.13730/j.issn.1009-2595.2018.09.011.

KIEFFER J W, STAHLMAN S. Mental health disorders, behavioral health problems, fatigue and sleep outcomes in remotely piloted aircraft/manned aircraft pilots, and remotely piloted aircraft crew, US Air Force, 1 October 2003-30 June 2019[J]. MSMR, 2021, 28(8): 14-21.

KELLEY A M, FELTMAN K A, CURRY I P. A survey of fatigue in army aviators[J]. Aerosp Med Hum Perform, 2018, 89(5): 464-468. DOI:10.3357/AMHP.5044.2018.

YOUNG M S, STANTON N A. Malleable attentional resources theory: a new explanation for the effects of mental underload on performance[J]. Hum Factors, 2002, 44(3): 365-375. DOI:10.1518/0018720024497709.

WEI Z M, ZHUANG D M, WANYAN X R, et al . A model for discrimination and prediction of mental workload of aircraft cockpit display interface[J ] . Chin J Aeronaut, 2014, 27(5): 1070-1077. DOI:10.1016/j.cja.2014.09.002.

CLEMENTE FUENTES R W, CHUNG C. Military, Civil and international regulations to decreasehuman factor errors in aviation[M]. Treasure Island; StatPearls Publishing 2021.

ZICKO C J M, SCHROEDER L R A, BYERS C W S, et al . Behavioral emergency response team: implementation improves patient safety, staff safety, and staff collaboration[J ] . Worldviews Evid Based Nurs, 2017, 14(5): 377-384. DOI:10.1111/wvn.12225.

IANIRO G, MULLISH B H, KELLY C R, et al . Reorganisation of faecal microbiota transplant services during the COVID-19 pandemic[J ] . Gut, 2020, 69(9): 1555-1563. DOI:10.1136/gutjnl-2020-321829.

FAN M Y, SUN D, ZHOU T, et al . Sleep patterns, genetic susceptibility, and incident cardiovascular disease: a prospective study of 385 292 UK biobank participants[J ] . Eur Heart J, 2020, 41(11): 1182-1189. DOI:10.1093/eurheartj/ehz849.

SHEN Y C, KUNG S C, CHANG E T, et al . The impact of obesity in cognitive and memory dysfunction in obstructive sleep apnea syndrome[J ] . Int J Obes (Lond), 2019, 43(2 ): 355-361. DOI:10.1038/s41366-018-0138-6.

FLYNN-EVANS E E, AHMED O, BERNEKING M, et al . Industrial regulation of fatigue: lessons learned from aviation[J ] . J Clin Sleep Med, 2019, 15(4): 537-538. DOI:10.5664/jcsm.7704.

RAINIERI G, FRABONI F, RUSSO G, et al . Visual scanning techniques and mental workload of helicopter pilots during simulated flight[J ] . Aerosp Med Hum Perform, 2021, 92(1): 11-19. DOI:10.3357/amhp.5681.2021.

李有梅, 梁珣. 典型相关分析综述[J]. 中国计量大学学报, 2017, 28(1): 113-118. DOI:10.3969/j.issn.2096-2835.2017.01.020.

LI Y M, LIANG X. Survey on canonical correlation analysis[J]. J China Univ Metrol, 2017, 28(1): 113-118. DOI:10.3969/j.issn.2096-2835.2017.01.020.

HART S G, STAVELAND L E. Development of NASA-TLX (task load index): results of empirical and theoretical research[J]. Adv Psychol, 1988, 52: 139-183. DOI:10.1016/S0166-4115(08)62386-9.

黄杨森, 程耀萍, 王艳微, 等. 应用NASA-TLX量表与心率变异性指标评价女飞行学员脑力负荷的研究[J]. 中华航空航天医学杂志, 2018, 29(1): 14-21. DOI:10.3760/cma.j.issn.1007-6239.2018.01.004.

HUANG Y S, CHENG Y P, WANG Y W, et al . Evaluating female pilot cadets & #39;mental workload by National Aeronautics and Space Administration-task load index and heart rate variability index[J ] . Chin J Aerosp Med, 2018, 29(1): 14-21. DOI:10.3760/cma.j.issn.1007-6239.2018.01.004.

BUYSSE D J, REYNOLDS C F 3rd, MONK TH, et al . The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research[J ] . Psychiatry Res, 1989, 28(2): 193-213. DOI:10.1016/0165-1781(89)90047-4.

刘贤臣, 唐茂芹, 胡蕾, 等. 匹兹堡睡眠质量指数的信度和效度研究[J]. 中华精神科杂志, 1996, 29(2): 103-107. DOI:10.1007/BF02951625.

LIU X C, TANG M Q, HU L, et al . Reliability and validity of the Pittsburgh sleep quality index[J ] . Chin J Psychiatry, 1996, 29(2): 103-107. DOI:10.1007/BF02951625.

SMETS E M, GARSSEN B, BONKE B, et al . The Multidimensional Fatigue Inventory (MFI) psychometric qualities of an instrument to assess fatigue[J ] . J Psychosom Res, 1995, 39(3): 315-325. DOI:10.1016/0022-3999(94)00125-o.

苗雨. 多维疲劳量表中文版的修订及在军队基层医护人员中的应用研究[D]. 上海: 第二军医大学, 2008.

MIAO Y. Revision of the Chinese version of the multidimensional fatigue inventory-20 and its application in medical members of military basic level[D]. Shanghai: Second Military Medical University, 2008.

阮琳, 常雁, 贾锐. 多维疲劳量表中文版应用于飞行员的信度和效度验证[J]. 中国疗养医学, 2016, 25(3): 332-334. DOI:10.13517/j.cnki.ccm.2016.03.053.

RUAN L, CHANG Y, JIA R. The reliability and validity of the Chinese version of the Multidimensional Fatigue Scale for pilots[J]. Chin J Conval Med, 2016, 25(3): 332-334. DOI:10.13517/j.cnki.ccm.2016.03.053.

张裕婕. 模拟飞行任务中的飞行学员眼动特征分析[D]. 天津: 中国民航大学, 2018.

ZHANG Y J. Analysis of eye-movement characteristic for student pilots during simulated flight tasks[D]. Tianjin: Civil Aviation University of China, 2018.

董燕, 方玉婷, 陈虹汝, 等. 歼击机飞行员睡眠质量危险因素分析[J]. 中华航空航天医学杂志, 2016, 27(3): 174-179. DOI:10.3760/cma.j.issn.1007-6239.2016.03.004.

DONG Y, FANG Y T, CHEN H R, et al . Analysis on risk factors of sleep quality in fighter pilots[J ] . Chin J Aerosp Med, 2016, 27(3): 174-179. DOI:10.3760/cma.j.issn.1007-6239.2016.03.004.

ARSINTESCU L, CHACHAD R, GREGORY K B, et al . The relationship between workload, performance and fatigue in a short-haul airline[J ] . Chronobiol Int, 2020, 37(9/ 10): 1492-1494. DOI:10.1080/07420528.2020.1804924.

HROZANOVA M, KLÖCKNER C A, SANDBAKK Ø, et al . Reciprocal associations between sleep, mental strain, and training load in junior endurance Athletes and the role of poor subjective sleep quality[J ] . Front Psychol, 2020, 11: 545581. DOI:10.3389/fpsyg.2020.545581.

JANSEN E C, PETERSON K E, O'BRIEN L, et al . Associations between mental workload and sleep quality in a sample of young adults recruited from a US college town[J ] . Behav Sleep Med, 2020, 18(4): 513-522. DOI:10.1080/15402002.2019.1626728.

KRATZKE I M, CAMPBELL A, YEFIMOV M N, et al . Pilot study using neurofeedback as a tool to reduce surgical resident burnout[J ] . J Am Coll Surg, 2021, 232(1): 74-80. DOI:10.1016/j.jamcollsurg.2020.08.762.

WU T C, JIA X Q, SHI H F, et al . Prevalence of mental health problems during the COVID-19 pandemic: a systematic review and meta-analysis[J ] . J Affect Disord, 2021, 281: 91-98. DOI:10.1016/j.jad.2020.11.117.

GUPTA B, SHARMA V, KUMAR N, et al . Anxiety and sleep disturbances among health care wor kers during the COVID-19 pandemic in India: cross-sectional online survey[J ] . JMIR Public Health Surveill, 2020, 6(4): e24206. DOI:10.2196/24206.

MYSLIWIEC V, MARTIN J L, ULMER C S, et al . The management of chronic insomnia disorder and obstructive sleep apnea: synopsis of the 2019 US department of veterans affairs and US department of defense clinical practice guidelines[J ] . Ann Intern Med, 2020, 172(5): 325-336. DOI:10.7326/M19-3575.

WINGELAAR-JAGT Y Q, WINGELAAR T T, RIEDEL W J, et al . Fatigue in aviation: safety risks, preventive strategies and pharmacological interventions[J ] . Front Physiol, 2021, 12: 712628. DOI:10.3389/fphys.2021.712628.

孙瑞山, 陈汇宇, 皇甫光霞. 货航飞行员睡眠质量与疲劳状况调查研究[J]. 安全与环境学报: 1-8. DOI: 10.13637/j.issn.1009-6094.2021.0291

SUN R S, CHEN H Y, HUANGFU G X. Investigation on Sleep Quality and Fatigue of Cargo Pilots[J]. J Safety Environ: 1-8. DOI: 10.13637/j.issn.1009-6094.2021.0291

ZASLONA J L, O'KEEFFE K M, SIGNAL T L, et al . Shared responsibility for managing fatigue: hearing the pilots[J ] . PLoS One, 2018, 13(5): e0195530. DOI:10.1371/journal.pone.0195530.

SATEIA M J. International classification of sleep disorders-third edition: highlights and modifications[J]. Chest, 2014, 146(5): 1387-1394. DOI:10.1378/chest.14-0970.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

环境音乐改善神经质人格倾向大学生睡眠质量及认知能力的随机对照研究

正念减压联合音乐疗法改善方舱患者负性情绪、睡眠质量和生活质量

抗洪抢险任务期官兵的睡眠质量和创伤后应激障碍水平及其相关关系研究

抑郁情绪对高原新兵新训期睡眠质量的影响：负性认知加工偏向的纵向调节作用

直升机飞行员社交时差现况调查及影响因素分析