Abstract
Purpose: To evaluate the effects of physical exercise on neck and shoulder muscle strength and pain in military pilots.
Method: Embase, PubMed, and Cochrane Library databases were searched studies published up to April 1, 2022. Studies that met the screening criteria were included in the final meta-analysis. We calculated neck and shoulder maximal voluntary isometric contractions (MVICs), prevalence of pain, and pain intensity. Heterogeneity was explored by subgroup and sensitivity analyses.
Result: A total of 15 studies with 907 participants were included. In the exercise group, muscle strength was significantly increased in four directions of neck motion: flexion (standardized mean difference (SMD) = 0.45; 95% CI, 0.08–0.82), extension (SMD = 0.63; 95% CI, 0.27–1.00), right lateral flexion (Rtflx) (SMD = 0.53; 95% CI, 0.12–0.94), and left lateral flexion (Ltflx) (SMD = 0.50; 95% CI, 0.09–0.91). Subgroup analysis showed that fighter pilots, strength plus endurance training, and a follow-up period <20 weeks exhibited more significant muscle strength improvements than helicopter pilots, simple strength training, and a follow-up period ≥20 weeks. Overall, the pooled odds ratio (OR) for the effect of physical exercise on the prevalence of neck pain was not statistically significant (I2 = 60%). Sensitivity analysis revealed that the heterogeneity was restored after removing each of two studies (I2 = 47%), and the pooled OR was statistically significant (OR = 0.46; 95% CI, 0.23 to 0.94, or OR = 0.47; 95% CI, 0.24–0.91). Furthermore, compared with observational studies (OS), the reduction in the prevalence of neck pain was more significant in randomized controlled trials (RCTs) (OR = 0.37; 95% CI, 0.18–0.78). No significant differences in the effects of exercise on shoulder muscle strength and neck and shoulder pain intensity were observed.
Conclusion: Physical exercise can improve neck muscle strength in military pilots. After removing studies that may be the source of heterogeneity, exercise showed a protective effect on neck pain, especially in RCTs. The conclusion that exercise had no effects on shoulder muscle strength and pain intensity should be taken with caution.
1 Introduction
Flight-related neck and shoulder pain is a common symptoms in military pilots (). Neck disorders caused by flight have been afflicting pilots for a long time. Severe pain even leads to interruption or grounding of tasks, causing great harm to the physical and mental health of pilots (; ).
Previous studies have shown that pain is affected by a variety of factors. In-flight effects, such as acceleration, sedentary behavior, head-worn equipment, and seatback, are all risk factors for neck pain and cervical spondylosis in pilots (; Verde et al., 2015; ). In particular, sudden movements of the pilot’s head upon exposure to high Gz accelerations increase the risk of acute cervical spine injury (). Studies have shown that the neck muscles in pilots are significantly activated during flight, suggesting that the neck muscle is subjected to a high load (). When the load is applied for a long period, the muscle becomes fatigued, which increases the risk of neck muscle strains (). With the continuous improvement of aircraft performance, the load borne by pilots is also increasing. The acceleration of high-performance fighters can reach more than +9 Gz at present, which undoubtedly poses a greater challenge to pilot cervical spine health (Wallace et al., 2021).
Currently, measures to prevent flight-related neck and shoulder pain include warm-up and stretching before and after flight, head prepositioning, and exercise etc., all of which have been reported to provide protective effects (; Thoolen and van den Oord, 2015; ; Wallace et al., 2021). However, even so, the reporting rate of neck pain among pilots has remained high in recent years (; ; ). This increase rate is undoubtedly related to the improvement of aircraft performance. In addition, pain relief through special head positions in a confined cabin is not satisfactory (). The method of changing the design of seat backrest or cabin environment is not only time-consuming but also requires considerable economic investment. Under such a premise, the prevention and relief of neck and shoulder pain through one’s own exercise seems to be a relatively quick and effective method.
In many RCTs, strong evidence supports the effectiveness of physical exercise for neck pain (; ; ). The main purpose of exercise for pilots is to improve the ability to resist high Gz acceleration by improving the strength of the neck muscles and strengthening the control of the muscles (). In this study, we investigated the effects of physical exercise in military pilots on neck and shoulder muscle strength and pain base on a meta-analysis of previous studies, to provide more scientific and appropriate guidance for future training protocols.
2 Materials and methods
We followed the standards of PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) (; Zhang et al., 2021) and MOOSE (Meta-Analysis of Observational Studies in Epidemiology) (Stroup et al., 2000) guidelines during our research. The study protocol was registered with PROSPERO (International Prospective Register of Systematic Reviews: CRD42022336463).
2.1 Data sources and search strategy
The Embase, PubMed, and Cochrane Library databases were searched by three reviewers from inception to April 1st, 2022. Search items included medical subject headings (MeSH) and their following keywords: “pilot”, “exercise”, “training”, “neck”, and “shoulder”. The search strategy is provided in detail in Supplementary Table S1. Outcome measures were not used as search terms because reviewers wanted to comprehensively query relevant measures of exercising intervention in pilots to avoid omissions of important information. No language restrictions were employed during the search. Duplicate studies were removed by means of Endnote and manual secondary examination. During the whole process of literature retrieval, screening, assessment and data extraction, disagreements between the two reviewers were resolved by discussion with a third reviewer.
2.2 Selection criteria and data extraction
The literature screening process followed the PICOS principles, i.e., “population”, “intervention”, “comparison”, “outcome”, and “study”. The inclusion and exclusion criteria of the literature are provided in detail in Supplementary Table S2.
We extracted the following data from each included study: type of aircraft, total number of participants, age, height, weight, type of study, training site, training protocol, equipment, follow-up period, and outcomes. The primary outcomes were neck maximal voluntary isometric contractions (MVICs) (), including flexion, extension, left (Ltflx) and right (Rtflx) lateral flexion and the prevalence of neck pain (). When included in our analysis, the units of the MVIC are unified and are typically reported as N or Nm. Given the paucity of studies, MVIC of shoulder elevation and pain intensity of neck and shoulder expressed by visual analog scale (VAS) () were used as secondary outcomes. The relative outcomes in the figures were analyzed with the aid of GetData Graph Digitizer 2.26.
2.3 Quality and risk-of-bias assessment
We used the Newcastle-Ottawa Quality Assessment Scale (NOS) to evaluate the risk of bias of the included observational studies (). Of these, the NOS form has different terms for the case-control studies (CCS) and cohort studies. NOS scores ranged from 0 to 9, with a score of greater than 6 including a high-quality study. For randomized controlled trials (RCTs), we used the Cochrane Collaboration’s tool to assess the risk of bias in six domains: sequence generation, allocation concealment, blinding, incomplete outcome data, selective outcome reporting, and other issues (). Cross-sectional studies used an 11-item checklist with a full scale of 11 scores as recommended by the Agency for Healthcare Research and Quality (AHRQ) () as follows: low quality = 0–3; moderate quality = 4–7; high quality = 8–11.
2.4 Data synthesis and statistical analysis
We used Review Manager (Revman) software (version 5.4) for quantitative analysis of the following variables between the exercise group (EG) and the control group (CG) or between the exposure group (EG) and nonexposure group (NEG): MVIC, prevalence of pain, and VAS. As a result of the unit difference (N or Nm), we calculated pooled estimates of the standard mean differences (SMDs) with 95% confidence intervals (CIs) for MVIC. Pooled outcomes of the same unit and VAS were calculated using the MD. We calculated pooled odds ratios (ORs) and 95% confidence intervals (CIs) for the prevalence of pain, which served as a categorical variable. Random-effects models were used for the analysis of all outcomes, and the I2 statistic was used to test for heterogeneity (Wei et al., 2022). Sensitivity analysis and subgroup analysis were performed on the results with I2 > 50% to identify the source of heterogeneity. Leave-one-out sensitivity analysis and subgroup analysis were performed to address heterogeneity as much as possible. Subgroups were classified according to the type of study, aircraft, equipment, training protocol, and follow-up period. p values <0.05 were considered statistically significant. Due to the small number of included studies in each outcome, we did not perform a test for publication bias (Sterne et al., 2011).
3 Results
3.1 Literature search and study selection
Our search strategy identified a total of 1855 studies (PubMed = 505, Cochrane = 511, Embase = 839). After removing duplicates (n = 1186), 668 studies remained. After reading the titles and abstracts, 646 studies were excluded. Next, the full texts of 22 selected studies were reviewed. Seven studies were eliminated at this stage, and 15 studies were eligible for quantitative synthesis (; ; ; ; ; ; ; ; ; ; ; ; ; ; ). The PRISMA flow chart for study selection is presented in Figure 1.
FIGURE 1
3.2 Quality assessment of the included studies
Supplementary Figure S1 shows a summary of the risk of bias assessment for RCTs (; ; ; ; ; ; ; ; ; ). All studies were rated as high risk for the term “blinding of participants and personnel” due to the inability to conceal the intervention from the pilots who participated in the training program. We evaluated two case-control studies (; ) and two cohort studies (; ) using NOS. As a result, only one study was evaluated as high quality (total score = 6), two studies had a score of 5, and one study had a score of 4 (Supplementary Table S3). One cross-sectional study was evaluated using the 11-item checklist recommended by the AHRQ (), and its quality was evaluated as moderate (total score = 4).
3.3 Study characteristics
The characteristics of the studies included in the meta-analysis are reported in Supplementary Table S4. The study region included Denmark (n = 4) (; ; ; ); United States (n = 2) (; ); Australia (n = 2) (; ); Sweden (n = 2) (; ); Finland (n = 1) (); Belgium (n = 1) (), Canada (n = 1) (); Israel (n = 1) (), and Germany (n = 1) (). A total of 907 pilots, including 675 (74.4%) fighter crew members and 232 (25.6%) helicopter pilots, were analyzed. The training protocol included muscle strength training alone (n = 5) (; ; ; ; ), strength and endurance training (n = 5) (; ; ; ; ), and a combination of strength, endurance, and coordination training (n = 5) (; ; ; ; ). The equipment used included hands-free devices, small devices (elastic rubber bands, dumbbells, or body blades), and complex devices (multi-cervical units (MCUs). Given that two training groups were included in each of two studies (; ) using different training protocols or equipment, the studies were split into Group A and Group B for meta-analysis (Zhao et al., 2022).
3.4 Strength of neck muscles
Figure 2 shows the forest plot of the relationship between physical exercise and muscle strength. The results showed that the increase in muscle strength was more significant in the exercise group in the four directions of neck movement: flexion (SMD, 0.45; 95% CI, 0.08 to 0.82; I2 = 47%) (Figure 2A), extension (SMD, 0.63; 95% CI, 0.27 to 1.00; I2 = 44%) (Figure 2B), Rtflx (SMD, 0.53; 95% CI, 0.12 to 0.94; I2 = 0%) (Figure 2C), and Ltflx (SMD, 0.50; 95% CI, 0.09 to 0.91; I2 = 0%) (Figure 2D). The results of the unified unit of the muscle strength showed a higher change in the exercise group than the control group: 17.53 N (95% CI, 5.68 to 29.39; I2 = 35%) in flexion (Supplementary Figure S2A); 27.55 N (95% CI, 7.11 to 47.99; I2 = 35%) and 8.54 Nm (95% CI, 0.57 to 16.50; I2 = 72%) in extension (Supplementary Figure S3); 17.08 N (95% CI, 3.59 to 30.56; I2 = 0%) in Rtfix (Supplementary Figure S4); 19.25 N (95% CI, 5.54 to 32.96; I2 = 0%) in Ltflx (Supplementary Figure S5), except for the flexion in Nm (MD, 1.60; 95% CI, -0.62, 3.81; I2 = 0%) (Supplementary Figure S2B).
FIGURE 2
The subgroup analysis showed that muscle strength increases in neck flexion (SMD, 1.06; 95% CI, 0.32 to 1.80; I2 = 56%) (Supplementary Figure S6), neck extension (SMD, 1.22; 95% CI, 0.74 to 1.69; I2 = 0%) (Supplementary Figure S10), and Ltflx (SMD, 0.78; 95% CI, 0.15 to 1.41; I2 = 0%) (Supplementary Figure S17) were significantly greater than those noted in the control group, and Rtflx (SMD, 0.62; 95% CI, 0.00 to 1.24; I2 = 0%) (Supplementary Figure S14) approached a significant higher value. In contrast, the helicopter group exhibited no significant difference except for extension (SMD, 0.49; 95% CI, 0.12 to 0.85; I2 = 0%) (Supplementary Figure S10). In addition, except for the significant heterogeneity of the aircraft type in neck extension (p = 0.004) (Supplementary Figure S10), no significant heterogeneity in other directions was noted.
The subgroup analysis of training equipment showed that the strength increase in neck flexion (SMD, 0.33; 95% CI, 0.33 to 0.63; I2 = 0%) and extension (SMD, 0.68; 95% CI, 0.37 to 0.98; I2 = 0%) in the exercise group using a small device was significantly greater than that in the control group (Supplementary Figures S7, S11). However, the strength increase in Ltflx and Rtflx was not significantly different (Supplementary Figures S15, S18). In addition, the strength increase using the complex device was also significant in the neck flexion (SMD, 1.74; 95% CI, 0.75–2.73) (Supplementary Figure S7), extension (SMD, 1.52; 95% CI, 0.47–2.47) (Supplementary Figure S11), and Ltflx (SMD, 1.04; 95% CI, 0.16–1.92) (Supplementary Figure S18) with near significance in Rtflx (SMD, 0.83; 95% CI, -0.03–1.69) (Supplementary Figure S15). Training equipment had significant heterogeneity in neck flexion (p = 0.01) and extension (p = 0.02) (Supplementary Figures S7, S11).
The subgroup analysis of the training protocol showed that muscle strength in the strength plus endurance training group was significantly greater than simply strength training and comprehensive (strength+endurance+coordination) training in neck flexion (SMD, 0.80; 95% CI, 0.07 to 1.52; I2 = 65%) (Supplementary Figure S8), extension (SMD, 0.70; 95% CI, 0.47 to 1.51; I2 = 32%) (Supplementary Figure S12), Rtflx (SMD, 0.57; 95% CI, 0.06 to 1.09; I2 = 0%) (Supplementary Figure S16), and Ltflx (SMD, 0.62; 95% CI, 0.10 to 1.14; I2 = 0%) (Supplementary Figure S19). The comprehensive training protocol was significant only in extension strength (SMD, 0.55; 95% CI, 0.12 to 0.98; I2 = 0%) (Supplementary Figure S12), and the other protocols were not significantly different. The heterogeneity of the training protocol was not statistically significant.
The subgroup analysis of the follow-up period showed that there were statistically significant muscle strength increases in neck flexion (SMD, 0.55; 95% CI, 0.01 to 1.10; I2 = 59%) (Supplementary Figure S9) and neck extension (SMD, 0.52; 95% CI, 0.06 to 0.97; I2 = 39%) (Supplementary Figure S13) at a follow-up period of less than 20 weeks. Only the strength increase in extension (SMD, 0.87; 95% CI, 0.23 to 1.51; I2 = 59%) at a follow-up period of no less than 20 weeks was statistically significant (Supplementary Figure S13). The heterogeneity of the follow-up period was not statistically significant.
3.5 Prevalence of neck pain
Figure 3A presents the relationship between physical exercise and the prevalence of neck pain. The results showed that the prevalence of neck pain in the exercise group was not statistically significant compared with that in the control group (OR, 0.58; 95% CI, 0.28 to 1.22; I2 = 60%). Sensitivity analysis showed that heterogeneity was restored (I2 = 47%) after the exclusion of two studies (; ), and the pooled OR showed a significant association between physical exercise and the prevalence of neck pain (OR, 0.46; 95% CI, 0.23–0.94) (Figure 3B) (OR, 0.47; 95% CI, 0.24–0.91) (Figure 3C). The subgroup analysis of study type showed that the reduction in the prevalence of neck pain with the RCT compared with OS was statistically significant (OR, 0.37; 95% CI, 0.18 to 0.78; I2 = 0%) (Figure 4). The prevalence of neck pain was not significant based on the type of aircraft (Figure 5). In the training protocol subgroup, although comprehensive training (strength + endurance + coordination) was significant (OR, 0.25; 95% CI, 0.08–0.80) (Figure 6), the result was relatively conservative due to the small number of studies (n = 1). In addition, the prevalence of neck pain was not significant for the heterogeneity of all subgroups.
FIGURE 3
FIGURE 4

Subgroup analysis for prevalence of neck pain (type of study).
FIGURE 5

Subgroup analysis for prevalence of neck pain (type of aircraft).
FIGURE 6

Subgroup analysis for prevalence of neck pain (training protocol).
3.6 Strength of shoulder muscles
Figure 7 shows that physical exercise did not significantly improve right shoulder (Figure 7A) or left shoulder muscle strength (Figure 7B) compared with the control group.
FIGURE 7

Forest plot comparing MVIC of the shoulder in the physical exercise and control groups. (A) Right elevation. (B) Left elevation. MVIC, maximal voluntary isometric contractions.
3.7 Pain intensity of the neck and shoulder
Figure 8 shows that physical exercise did not significantly reduce pain intensity in the neck (Figure 8A), right shoulder (Figure 8B), or left shoulder (Figure 8C) compared with the control group.
FIGURE 8

Forest plot comparing the VAS scores of the neck and shoulder in the physical exercise and control groups. (A) Neck. (B) Right shoulder. (C) Left shoulder. VAS, visual analog scale.
4 Discussion
4.1 Association between exercise and neck and shoulder strength in pilots
Methods to improve neck muscle strength through exercise have become a consensus in the general working population. However, due to the particularity of a pilot’s profession, daily flights and routine training occupy most of his/her day. Can additional training programs significantly improve neck and shoulder muscle strength, and does training have the same effect on muscle strength in different parts of the neck? These issues need to be clarified urgently because they will help us to further develop more scientific training programs. Currently, there is no evidence-based exercise program that can specifically improve the strength of muscles around the spine to reduce physiological and perceived stress during high Gz flight (
However, the difference in shoulder elevation was not significant (Figure 7). Murray et al. (
4.2 Association between exercise and neck and shoulder pain in pilots
Although many studies have demonstrated that physical exercise can relieve work-related neck pain (
Our pooled OR showed no significant effect of physical exercise in reducing the prevalence of neck pain (Figure 3A). However, we noted high heterogeneity in this result (I2 = 63%). Fortunately, we found possible sources of heterogeneity through sensitivity analysis. After excluding the studies by Jones et al. (
Our analysis for pain intensity showed no difference in pain scores between the exercise and control groups, either in the neck or shoulder (Figure 8). However, the findings are cautious due to the small number of studies. The investigation by Lange et al. (
4.3 Association between subgroups and outcome
4.3.1 Type of aircraft
Our subgroup analysis found that the muscle strength changes in fighter pilots after exercise were more significant than those of helicopter pilots (Supplementary Figures S6, S10, S14, S17). Studies on the differences in muscle strength of pilots of different aircraft types are limited. Ang et al. (
The prevalence of neck pain varies among different types of aircraft. Grossman et al. (
4.3.2 Equipment
A commonly used device for neck training is an elastic band named the Thera-band (THER) (
Some studies applied virtual reality (VR) systems for training assistance and instruction (
4.3.3 Training protocol
In general occupational groups, work-related neck pain is reduced by various physical exercises (
In addition to endurance training, an increasing number of studies emphasize the importance of pilot coordination training (
4.3.4 Follow-up period
In the subgroup analysis of follow-up time, muscle strength was improved in the follow-up less than 20 weeks, while the follow-up group with no less than 20 weeks had a significant improvement in the extension but not in the flexion muscle. (Supplementary Figures S9, S13). However, we generally believe that the exercise period can accumulate higher changes in outcomes. However, the length of the training period greatly affects compliance. Ang et al. (
Therefore, we need to identify the optimal training period to achieve the maximum payoff.
4.4 Limitations
This study has some limitations. First, we included observational studies (cohort studies, case-control studies, and cross-sectional studies), when investigating the effects of exercise on neck pain. This design will cause an unavoidable bias due to the presence of potential confounding factors. Second, the number of studies included in each outcome was small, and the quality was uneven. The small sample size of each study leads to a wide confidence interval for the pooled effect value, which reduces the power of the results. Third, differences in the definition of outcomes and measurement criteria were noted. There were differences in the criteria for the pain and pain-free groups between studies. Fourth, differences in exercise programs were noted. To address the above limitations, we will continuously follow up the relevant research progress and try to identify more high-quality studies to expand the sample size. The mesh meta-analysis will be performed to compare the differences between types of exercise intervention.
5 Conclusion
Physical exercise can improve the neck muscle strength of military pilots and is significantly effective in flexion, extension, and left and right lateral flexion. Moreover, fighter pilots, complex devices, comprehensive training (strength plus endurance), and a follow-up period less than 20 weeks seemed to obtain more significant muscle strength improvement than helicopter pilots, small devices, simple strength training, and a follow-up period greater than 20 weeks. Overall, the pooled results did not show a significant effect of exercise on neck pain. However, sensitivity analysis revealed that the lack of a significant effect was due to heterogeneity. The sources of heterogeneity may include observational studies and studies with small samples. After removing the above studies, exercise showed a significant protective effect on neck pain. No significant differences in shoulder muscle strength or neck and shoulder pain intensity were noted between exercises. However, this conclusion should be taken with caution, and more studies need to be included to improve the persuasiveness of these findings. There are great challenges in the development of training programs for military pilots due to the differences in aircraft types and the uncertainty of working hours and locations. In the future, training protocols, equipment, periods and methods of supervision should be fully considered.
Statements
Data availability statement
The raw data supporting the conclusion of this article will be made available by the authors, without undue reservation.
Author contributions
JQ, CZ, and WH designed the study. WH, FW, and ZL performed the literature search. WH, FW, and ZL conducted the literature retrieval, screening, and assessment. XY, KZ and FY extracted data. WH, FW, ZL, XY and MD did the statistical analyses. WH, FW, and ZL drafted the manuscript. All authors reviewed and edited the manuscript. CZ and JQ supervised the study. All authors read and approved the submitted version.
Funding
This work was supported by grants from the National Natural Science Foundation of China (No. 81871818) and Natural Science Basic Research Plan in Shaanxi Province of China (No.2019JM-265).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fphys.2022.973304/full#supplementary-material
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Summary
Keywords
physical exercise, musculoskeletal disorders, neck pain, muscle strength, military pilots, meta-analysis
Citation
Heng W, Wei F, Liu Z, Yan X, Zhu K, Yang F, Du M, Zhou C and Qian J (2022) Physical exercise improved muscle strength and pain on neck and shoulder in military pilots. Front. Physiol. 13:973304. doi: 10.3389/fphys.2022.973304
Received
20 June 2022
Accepted
08 August 2022
Published
02 September 2022
Volume
13 - 2022
Edited by
Kwong Ming Tse, Swinburne University of Technology, Australia
Reviewed by
Aleksandra Truszczyńska-Baszak, Józef Piłsudski University of Physical Education in Warsaw, Poland
Haiyang Wu, Tianjin Medical University, China
Yujie Liu, Shanghai Changzheng Hospital, China
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© 2022 Heng, Wei, Liu, Yan, Zhu, Yang, Du, Zhou and Qian.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Chengpei Zhou, zhoucpei@126.com; Jixian Qian, pasmiss2012@163.com
† These authors have contributed equally to this work
This article was submitted to Exercise Physiology, a section of the journal Frontiers in Physiology
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