DOI: https://doi.org/10.21203/rs.3.rs-224871/v1
Objectives: It is unclear which factors increase the risk of developing pressure pain hypersensitivity, a type of neurophysiological hyperexcitability. The present study investigated the relative contributions of physical and psychological factors to pressure pain hypersensitivity of the upper trapezius for each sex.
Methods: In total, 154 individuals with neck/shoulder myofascial pain participated, among 372 food service workers. Participants completed a questionnaire (age, sex, Beck Depression Inventory, and Borg Rating of Perceived Exertion scale) and then were photographed to measure posture. Pressure pain sensitivity, two range of motions (cervical lateral-bending and rotation), and four muscle strengths (serratus anterior, lower trapezius, biceps, and glenohumeral external rotator) were measured by a pressure algometer, iPhone application, and handheld dynamometer. For each sex, forward multivariate logistic regression was used to test our a priori hypothesis among selected variables that a combination of psychosocial and physical factors contributed to the risk for pressure pain hypersensitivity.
Results: In multivariate analyses, lower trapezius strength (odds ratio = 0.94, 95% confidence interval = 0.91–0.97, p = 0.001) was the only significant risk factor for pressure pain hypersensitivity in men. Dominant painful ipsilateral cervical rotation range of motion (odds ratio = 0.96, 95% confidence interval = 0.92–0.99, p = 0.037) was the only risk factor for pressure pain hypersensitivity in women.
Discussion: Lower trapezius strength and dominant painful ipsilateral cervical rotation range of motion could serve as guidelines for preventing and managing pressure pain hypersensitivity of the upper trapezius in food service workers with nonspecific neck/shoulder myofascial pain.
Trial registration: Research Information Service (CRIS) under the code KCT0002810 (granted on 20/04/2018) and the registration timing was retrospective.
Food service workers (FWs), such as cooks and restaurant employees, are at high risk for musculoskeletal pain because of the high strain related to serving, preparing raw materials, washing dishes, and cooking [1–3]. A high prevalence of musculoskeletal pain in FWs has been reported. Among 905 individuals in two previous studies, the neck (54.3%) and shoulders (57.9%) were more involved than other body regions (22.3–52.75%) [4, 5]. A Norwegian study found that 80% of hotel FWs reported lifelong musculoskeletal pain, including 42.4% with neck/shoulder pain [6].
Myofascial pain (MP) is one of the most common causes of musculoskeletal pain [7]. The origin of MP is located at myofascial trigger points, which are hyperirritable regions of tenderness in the taut bands of skeletal muscles [8] that become painful when stimulated (e.g., via compression or other mechanical stimulations) and can contribute to the generation of pain, motor dysfunction, and autonomic responses [8–10]. Among postural muscles, the upper trapezius muscle (UT) is most affected by MP [7, 11, 12].
Tenderness over muscles is a common clinical finding in painful conditions of presumed muscular origin [13, 14]. Pressure pain sensitivity (PPS) is a quantitative sensory test for assessing pain sensitivity in deep tissues [15]. This neurophysiological test may be suitable to measure PPS and tissue tenderness because these conditions are believed to reduce the test values [15].
Although the pathophysiologic mechanism of MP has not been identified, it may involve central sensitization (hyperresponsiveness and hyperexcitability of the central nervous system) [16, 17]. However, it is unclear which factors increase the risk of developing pressure pain hypersensitivity (PPH) in terms of neurophysiological hyperresponsiveness and hyperexcitability. Suggested factors include individual factors (e.g., sex) [18], physical factors (e.g., posture) [19], and psychosocial factors (e.g., depression and stress) [20]. Previous studies have investigated the influences of individual factors on PPS. Thus, there is a need to investigate the combined influences of multiple factors on the risk for PPS.
Physical risk factors are useful and potentially could be modified with interventions such as exercise [21]. Conversely, individual characteristics (e.g., sex and age) cannot be modified. To determine a specific management approach for neck/shoulder pain, Donatelli proposed examination of the following aspects: cervical and shoulder posture, muscle length, rotator cuff muscle strength, and scapular rotator strength [22]. Psychological, biological, and social domains could explain differences in pain severity and perception between men and women with MP [18, 23]. Concerning sex differences in pain outcomes, PPS has demonstrated the greatest effect size [24] and women are more sensitive to pressure pain than men [25]. Because of sex differences in pain perception and PPS, as well as differences in food service tasks, the relative contributions of physical and psychological risk factors to PPH should be identified for each sex.
Therefore, the present study investigated differences in physical and psychosocial factors between participants according to PPH status for each sex, and the relative contributions of physical and psychological factors to PPH for each sex.
Participants were recruited through a questionnaire to confirm their experience of neck/shoulder MP as FWs. In total, 154 individuals with neck/shoulder MP participated, from among 372 FWs in a theme park. A flowchart for recruitment of the participants is shown in Fig. 1. Inclusion criteria were non-traumatic neck/shoulder pain, > 6 months of work in food service, presence of neck/shoulder pain for ≥ 3 months, and visual analog scale score > 30 mm. Exclusion criteria were shoulder fractures, a prior diagnosis of shoulder instability, a history of surgery in the shoulder, any systemic disease, untreated psychiatric condition, examination suggesting the presence of neurological diseases or internal diseases, hypertension (resting systolic blood pressure > 150 mm Hg or diastolic blood pressure > 90 mm Hg), and/or pregnancy. Participant characteristics are shown in Table 1. The experimental protocol was established according to the ethical guidelines of the Helsinki Declaration. The study protocol was approved by the Yonsei University Mirae Campus Institutional Review Board (certification number: #1041849–201603-BM-005–02). Before assessment, the investigator explained the entire experimental procedure and all participants voluntarily provided informed consent.
Men (n = 61) |
Women (n = 93) |
Total (n = 154) |
|||||
---|---|---|---|---|---|---|---|
Age (year) |
32.05 |
(8.90) |
26.15 |
(7.11) |
28.49 |
(8.36) |
|
Height (cm) |
173.82 |
(5.40) |
163.57 |
(6.06) |
167.63 |
(7.67) |
|
Weight (kg) |
73.00 |
(8.44) |
56.32 |
(7.75) |
62.93 |
(11.45) |
|
Body mass index (kg/m2) |
24.18 |
(2.79) |
20.93 |
(2.08) |
22.22 |
(2.87) |
|
Work duration (month) |
62.00 |
(70.16) |
41.72 |
(59.49) |
50.30 |
(64.80) |
|
Pain dominant side |
Rt: 30 |
Lt: 31 |
Rt: 46 |
Lt: 47 |
Rt:76 |
Lt:78 |
|
Pressure pain hypersensitivity |
47/61 |
69/93 |
116/154 |
||||
Visual analog scale |
54.02 |
(23.09) |
53.99 |
(19.12) |
54.00 |
(20.71) |
PPS was measured with the participant seated upright using a pressure algometer (FPK 60, Wagner Instruments, Inc., Greenwich, CT, USA) with a 1 cm diameter rubber tip attached to a strain gauge that displayed values in kg/cm2. The tip was applied to the UT at a standardized location containing the midpoint between C7 and the acromion process, in the dominant painful side (intraclass correlation coefficient of inter-rater reliability: 0.91) [26, 27]. PPS was defined as the lowest pressure at which the sensation of pressure turned to slight pain or discomfort [18, 26, 27]. The mean value of three trials was calculated and used for the main analyses. A 1 min resting period was allowed between each recording. Both the participant and examiner were blind to force readings during the assessment. A standard metronome was also used to control the rate of increase in pressure. Men with pressure pain sensitivity < 2.9 kg/cm2 in the UT and women with pressure pain sensitivity < 2.0 kg/cm2 in the UT were presumed to have PPH [28].
The Beck Depression Inventory (BDI) is widely used to measure depression. The BDI consists of 21 items based on symptoms and attitudes that Beck considered common among patients with depression, but not among non-depressed individuals [29]. Statements were ranked to indicate the range of depression severity from neutral to maximal.
Exertion of work intensity was measured using the Borg Rating of Perceived Exertion (BRPE) scale. Participants were asked to self-rate their exertion of work intensity on a scale between 6 and 20 [30].
For cervical range of motion (ROM), the dominant painful contralateral cervical side-bending and dominant painful ipsilateral cervical rotation ROM were measured using an iPhone with Clinometer and Compass applications [31]. Using a belt strap, participants were blocked from performing trunk and shoulder movements during measurements of cervical-lateral bending and rotation movement. The measurements of cervical ROM were made for the total range (i.e., difference between initial and final measures). The mean value of three trials was calculated and used for the main analyses.
For muscle strength, serratus anterior (SA), lower trapezius (LT), biceps and glenohumeral external rotator (GHER) strengths were measured using a handheld dynamometer (JTECH Medical, Salt Lake City, UT, USA) in the dominant painful side. The unit of measurement was a Newton (N) generated by isometric contraction. Muscle strength values were normalized according to participant body weight. The mean value of three trials was calculated and used for analyses. SA strength was measured in scapular protraction and the shoulder was flexed to 125°. Participants were instructed to hold the upper extremity position while the examiner provided a downward force with the handheld dynamometer immediately over the distal humerus. In the prone position, LT strength was measured with the upper extremity diagonally overhead, in line with the LT fibers. The handheld dynamometer was applied to the distal one-third of the participant’s radial forearm, and force toward the floor was applied by the examiner. Biceps strength was measured with participants in the sitting position with their elbow flexed to 90°. The handheld dynamometer force sensor was applied to the distal one-third of the participant’s forearm, and force toward the floor was applied by the examiner. GHER was measured in the side-lying position with the shoulder flexed and internally rotated to 90°, and the elbow flexed to 90°. Then the dynamometer was applied to the distal one-third of the participant’s radial forearm, and force toward the floor was applied by the examiner.
For posture analyses, forward head posture, rounded shoulder angle, shoulder slope angle, and scapular downward rotation ratio were measured using kinematic analyses of photographs using ImageJ software (National Institutes of Health, Bethesda, MD, USA). Forward head posture was quantified by the craniovertebral angle (angle between the horizontal line passing through C7 and a line extending from the tragus of the ear to C7). The rounded shoulder angle was quantified using the angle (θ) between two lines (from a horizontal line in the medial roots of the scapula to the acromion, and from the root of the scapula to the acromion). The angle θ, composed of the two distances, is one apex of a right-angled triangle. Therefore, 90 – θ was defined as the rounded shoulder angle. Shoulder slope angle was quantified by the angle between two lines (a horizontal line with the acromion and a line between the spinous process of the seventh cervical vertebrae and acromion). Scapular downward rotation ratio was quantified by the ratio between two lines (a vertical line from the center to the root of the scapula, and a vertical line from the center to the scapular inferior angle).
The present study was performed from March 2016 to November 2016. Participants were assessed at the work conditioning center in a theme park. Variables were measured in the following order: psychological and physical domains (posture, ROM, and strength). Participants were asked to complete a questionnaire (age, sex, BDI, and BRPE scale) and then were photographed to measure posture. PPS, two ROMs (cervical lateral-bending and rotation), and four muscle strengths (SA, LT, biceps, and GHER) were measured in that order.
The Kolmogorov–Smirnov Z-test was used to assess the assumption of distribution normality. Demographic characteristics are shown as means. Independent t-tests were used to compare psychological and physical domains between participants with PPH and participants without PPH, and to identify significant predictors for cut-off in each sex, because of sex differences in demographic and clinical features. Variables with significant differences between participants according to PPH status in men and women were selected. For each sex, variables associated with PPH were selected from univariate analyses. Finally, for each sex, forward multivariate logistic regression was used to test our a priori hypothesis among selected variables that a combination of psychosocial and physical factors contributed to the risk for PPH. The analyses were adjusted for previously established covariates of age and body mass index. Goodness-of-fit was calculated using the Hosmer–Lemeshow test. Statistical analyses were conducted using SPSS Statistics (ver. 18.0; IBM Corp., Armonk, NY, USA) and the significance level was set at p < 0.05.
Table 2 shows comparisons of psychological and physical domains between men with PPH and men without PPH. There were no significant differences in BDI, BRPE scale, forward head posture, rounded shoulder angle, shoulder slope angle, or scapular downward rotation ratio between men with PPH and men without PPH. For cervical ROM, the dominant painful contralateral cervical side-bending (p = 0.02) and dominant painful ipsilateral cervical rotation ROM (p = 0.01) were significantly greater in men without PPH than in men with PPH. For muscle strengths, SA (p = 0.005), LT (p = 0.002), biceps (p < 0.001), and GHER strength (p = 0.001) were significantly greater in men without PPH than in men with PPH.
Variables |
Group |
Mean (SD) |
p |
95% CI |
|||
---|---|---|---|---|---|---|---|
Pressure pain threshold (kg/cm2) |
–PPHa |
3.03 |
(0.19) |
0.000* |
1.03 |
– |
1.31 |
+PPH |
1.86 |
(0.33) |
|||||
Beck Depression Inventory |
–PPH |
25.64 |
(3.25) |
0.988 |
-2.35 |
– |
2.32 |
+PPH |
25.66 |
(5.17) |
|||||
Borg Rating of Perceived Exertion Scale |
–PPH |
13.50 |
(2.21) |
0.938 |
-1.47 |
– |
1.36 |
+PPH |
13.55 |
(2.33) |
|||||
Cervical side-bending ROMb (°) |
–PPH |
54.68 |
(8.07) |
0.007* |
2.32 |
– |
13.46 |
+PPH |
46.79 |
(11.46) |
|||||
Cervical rotation ROM (°) |
–PPH |
72.18 |
(7.01) |
0.058 |
− .26 |
– |
14.94 |
+PPH |
64.84 |
(13.63) |
|||||
Serratus anterior strength (normalize:%) |
–PPH |
242.06 |
(57.65) |
0.003* |
22.66 |
– |
99.43 |
+PPH |
181.01 |
(72.53) |
|||||
Lower trapezius strength (normalize:%) |
–PPH |
57.81 |
(24.95) |
0.000* |
15.19 |
– |
37.21 |
+PPH |
31.61 |
(15.58) |
|||||
Biceps strength (normalize:%) |
–PPH |
362.99 |
(73.88) |
0.000* |
62.66 |
– |
171.59 |
+PPH |
245.86 |
(93.32) |
|||||
GHERc strength (normalize:%) |
–PPH |
76.32 |
(26.68) |
0.005* |
8.26 |
– |
41.38 |
+PPH |
51.50 |
(23.78) |
|||||
Rounded shoulder angle (°) |
–PPH |
36.56 |
(4.59) |
0.286 |
-4.50 |
– |
1.39 |
+PPH |
38.11 |
(4.92) |
|||||
Froward head posture (°) |
–PPH |
58.77 |
(11.95) |
0.233 |
-3.00 |
– |
11.57 |
+PPH |
54.49 |
(9.23) |
|||||
Shoulder slope angle (°) |
–PPH |
18.46 |
(2.09 |
0.939 |
-1.39 |
– |
1.50 |
+PPH |
18.40 |
(2.96) |
|||||
Scapular downward rotation ratio |
–PPH |
0.90 |
(0.15) |
0.526 |
-0.07 |
– |
0.13 |
+PPH |
0.87 |
(0.15) |
|||||
aPPH, pressure pain hypersensitivity; bROM, range of motion; cGHER, glenohumeral external rotator;*p < 0.05 |
Table 3 shows comparisons of psychological and physical domains between women with PPH and women without PPH. Most variables were not significantly different, but dominant painful ipsilateral cervical rotation ROM (p = 0.033) was significantly greater in women without PPH than in women with PPH.
Variables |
Group |
Mean (SD) |
p |
95% CI |
|||
---|---|---|---|---|---|---|---|
Pressure pain threshold (kg/cm2) |
–PPHa |
2.36 |
(0.38) |
0.000* |
0.64 |
– |
0.90 |
+PPH |
1.60 |
(0.23) |
|||||
Beck Depression Inventory |
–PPH |
31.21 |
(5.91) |
0.666 |
-2.24 |
– |
3.47 |
+PPH |
30.59 |
(6.09) |
|||||
Borg Rating of Perceived Exertion Scale |
–PPH |
13.29 |
(2.40) |
0.432 |
-1.59 |
– |
0.69 |
+PPH |
13.74 |
(2.31) |
|||||
Cervical side-bending ROMb (°) |
–PPH |
50.38 |
(7.42) |
0.328 |
-2.47 |
– |
7.30 |
+PPH |
47.96 |
(11.20) |
|||||
Cervical rotation ROM (°) |
–PPH |
69.71 |
(9.52) |
0.019* |
1.02 |
– |
10.78 |
+PPH |
63.81 |
(12.13) |
|||||
Serratus anterior strength (normalize: %) |
–PPH |
176.17 |
(50.09) |
0.500 |
-16.20 |
– |
32.71 |
+PPH |
167.91 |
(54.17) |
|||||
Lower trapezius strength (normalize: %) |
–PPH |
31.51 |
(11.39) |
0.349 |
-2.82 |
– |
7.79 |
+PPH |
29.03 |
(10.00) |
|||||
Biceps strength (normalize: %) |
–PPH |
212.91 |
(58.75) |
0.088 |
-3.72 |
– |
51.24 |
+PPH |
189.15 |
(52.51) |
|||||
GHERc strength (normalize: %) |
–PPH |
49.29 |
(21.55) |
0.995 |
-8.00 |
– |
8.05 |
+PPH |
49.26 |
(15.23) |
|||||
Rounded shoulder angle (°) |
–PPH |
37.62 |
(6.78) |
0.363 |
-1.74 |
– |
4.63 |
+PPH |
36.17 |
(6.21) |
|||||
Froward head posture (°) |
–PPH |
51.87 |
(9.12) |
0.083 |
-8.82 |
– |
0.56 |
+PPH |
56.00 |
(11.75) |
|||||
Shoulder slope angle (°) |
–PPH |
16.43 |
(3.95) |
0.065 |
-0.11 |
– |
3.64 |
+PPH |
14.67 |
(3.81) |
|||||
Scapular downward rotation ratio |
–PPH |
0.87 |
(0.15) |
0.726 |
-0.08 |
– |
0.06 |
+PPH |
0.88 |
(0.14) |
|||||
aPPH, pressure pain hypersensitivity; bROM, range of motion; cGHER, glenohumeral external rotator; *p < 0.05 |
By comparison of psychological and physical domains between participants with PPH and participants without PPH, the following variables were selected: dominant painful contralateral cervical side-bending, dominant painful ipsilateral cervical rotation ROM, SA, LT, biceps, and GHER strength. The results of univariate analyses of predictors of PPH of UT in men and women are shown in Table 4 and Supplemental Digital Content 1. In univariate analyses, dominant painful contralateral cervical side-bending (odds ratio (OR) = 0.93, 95% confidence interval (CI) = 0.87–0.99), SA (OR = 0.99, 95% CI = 0.98–1.00), LT (OR = 0.94, 95% CI = 0.91–0.97), biceps (OR = 0.98, 95% CI = 0.96–0.99), and GHER strength (OR = 0.96, 95% CI = 0.94–0.99) were significantly associated with PPH in men. Moreover, only dominant painful ipsilateral cervical rotation ROM (OR = 0.96, 95% CI = 0.92–1.00) was significantly associated with PPH in women.
Sex |
Variables |
p |
OR |
95% CI |
||
---|---|---|---|---|---|---|
Male |
Cervical side-bending ROMa |
0.027* |
0.93 |
0.87 |
– |
0.99 |
Cervical rotation ROM |
0.065 |
0.95 |
0.90 |
– |
1.00 |
|
Serratus anterior strength |
0.011* |
0.99 |
0.98 |
– |
1.00 |
|
Lower trapezius strength |
0.001* |
0.94 |
0.91 |
– |
0.97 |
|
Biceps strength |
0.002* |
0.98 |
0.96 |
– |
0.99 |
|
GHERb strength |
0.005* |
0.96 |
0.94 |
– |
0.99 |
|
Female |
Cervical side-bending ROM |
0.325 |
0.98 |
0.93 |
– |
1.02 |
Cervical rotation ROM |
0.037* |
0.96 |
0.92 |
– |
1.00 |
|
Serratus anterior strength |
0.510 |
1.00 |
0.99 |
– |
1.01 |
|
Lower trapezius strength |
0.313 |
0.98 |
0.94 |
– |
1.02 |
|
Biceps strength |
0.072 |
0.99 |
0.98 |
– |
1.00 |
|
GHER strength |
0.995 |
1.00 |
0.97 |
– |
1.03 |
|
aROM, range of motion; bGHER, glenohumeral external rotator; *p < 0.05 |
The results of adjusted multivariate analyses of predictors of PPH of UT in men and women are shown in Table 5 and Supplemental Digital Content 1. In the adjusted multivariate model, LT strength (OR = 0.94, 95% CI = 0.91–0.97, p = 0.001) was the only significant risk factor for PPH of the UT in men. In addition, dominant painful ipsilateral cervical rotation ROM (OR = 0.96, 95% CI = 0.92–0.99, p = 0.037) was the only risk factor for PPH of the UT in women. Goodness-of-fit statistics indicated that model fitting was appropriate for each sex-adjusted regression model (men: p = 0.290, women: p = 0.061).
Sex |
Variables |
p |
OR |
95% CI |
||
---|---|---|---|---|---|---|
Male |
Lower trapezius strength |
0.001* |
0.94 |
0.91 |
– |
0.97 |
Female |
Cervical rotation ROMa |
0.037* |
0.96 |
0.92 |
– |
1.00 |
aROM, range of motion; *p < 0.05 |
PPS can result from impairments at multiple levels throughout the neuromuscular system [32]. There is increasing evidence that changes in pain processing may enhance sensitivity to noxious stimuli among individuals with chronic pain, compared to pain-free controls [14, 33]. The present study investigated whether physical and psychological domains were related to PPH of the UT in each sex among FWs with nonspecific neck/shoulder MP, because biological differences have been suggested to cause sex differences in pain perception [34–36]. LT strength and dominant painful ipsilateral cervical rotation ROM were characterized as risk factors for PPH of the UT in male and female FWs with nonspecific neck/shoulder MP in adjusted multivariate analyses. Although our interpretations are limited because of the cross-sectional study design, the LT strength and dominant painful ipsilateral cervical rotation ROM identified in the present study could be useful for establishing guidelines for the prevention and management of PPH in FWs with nonspecific neck/shoulder MP.
Concerning LT strength as risk factor for PPH, scapulothoracic muscle imbalances could be cause of impaired biomechanics, postural adaptations, and neck/shoulder pain [37, 38]. These imbalances may occur when the UT becomes tight and the LT becomes weak [39, 40]. Conversely, LT weakness could result in UT overload because of poor scapular mechanics (e.g., increasing scapular elevation and decreasing scapular upward rotation and posterior tilting) [37, 38] and weakly synergistic acceleration of UT overactivation (e.g., involving the SA and LT) [41]. LT strength was significantly different between the ipsilateral (mean ± standard deviation (SD): 21.8 ± 10.0 N) and contralateral sides (mean ± SD: 25.7 ± 11.5 N) in individuals with unilateral neck and shoulder pain [40]. In the current study, LT strength in male FWs with PPH was 31.61 ± 15.58% normalized by body weight. Before LT strength was divided by body weight, LT strength was 23.50 N, which was similar to the results of a previous study involving individuals with neck/shoulder pain [40]. However, Shahidi et al. investigated physical risk factors for chronic neck pain [32]. They found that LT strength was not a risk factor, using a multivariate prediction model that involved cervical active ROM, cervical muscle strength and endurance, and scapular muscle strength. Although this explanation is limited by the cross-sectional study design, LT could be linked to PPH of the UT and could potentially be weaker in terms of PPH of the UT. The process may function in an inverse manner.
Cervical mobility as a risk factor for neck/shoulder pain has been suggested in prospective studies of other populations, but the results have been conflicting. Reduced cervical flexion mobility was more likely to cause neck/shoulder pain in laundry workers (risk ratio: 3.1; 95% CI: 1.2–8.3) [42] and increased cervical flexion-extension mobility was protective against neck/shoulder pain in office workers (hazard ratio: 0.97; 95% CI: 0.94–0.99) [43]. With respect to dominant painful ipsilateral cervical rotation ROM as a risk factor for PPH, cervical rotation ROM is related to pain intensity in patients with chronic neck/shoulder pain [44, 45]. Moreover, patients with nonspecific neck/shoulder pain show less cervical rotation ROM, compared to asymptomatic controls [46, 47]. Reduced extensibility of upper quadrant neural structures evaluated by the median nerve tension test has been related to decreasing UT length [48]. Furthermore, the presence of PPH of the UT was associated with cervical intervertebral joint dysfunctions [49]. Although interpretations are restricted by the cross-sectional study design, dominant painful side ipsilateral cervical rotation ROM could be linked to PPH of the UT and could potentially cause shortness involving PPH of the UT, or the process could function in an inverse manner. UT length affects ipsilateral cervical rotation ROM and contralateral cervical side-bending ROM because of the muscle attachment locations [50]. Thus, tenderness or PPH of the UT could affect the restriction of cervical ipsilateral rotation ROM. Conversely, reduced UT length could affect PPH by scapular dyskinesis (e.g., scapular elevation during arm lifting) [50]. UT shortness and scapular dyskinesis could generate reduced activity of the SA and/or LT, as well as enhanced activity of the UT, resulting in UT overactivation [51, 52].
The psychological domain (depressed mood), as measured using the BDI, was not significantly different between FWs with PPH of the UT and FWs without PPH of the UT in both men (p = 0.988) and women (p = 0.666). This might have been due to limited statistical power resulting from the small sample size in this study. Psychological depressed mood was reportedly associated with an enhanced risk for neck pain in office workers (OR = 3.36; 95% CI: 1.10–10.31; p = 0.03) [32] and others [53, 54]. Although it is difficult to directly compare our findings with the results of previous studies, a possible reason for exclusion of the psychological domain from the variable selection process was that the psychological domain could more weakly influence PPH among workers with repetitive and high physical load tasks, compared to white-collar office workers. Furthermore, physical domains of cervical and scapular posture were not significantly different between FWs with PPH of the UT and FWs without PPH of the UT in both men and women. Forward head posture [55, 56] and scapular posture [19] have been previously associated with neck/shoulder pain. Because cervical and scapular posture are static characteristics, dynamic physical domains could more strongly influence PPH among workers with repetitive and high physical load tasks, rather than static physical domains.
The main limitations of the present study were its small sample size and cross-sectional study design. Furthermore, this study involved a relatively homogeneous sample of FWs. Future studies are necessary to determine whether the risk factors identified in this study can be generalized to other demographic populations and professions. Future studies should also determine whether improvements in LT strength and cervical rotation ROM are effective for reducing PPH among individuals with neck/shoulder MP.
The present study investigated physical and psychological risk factors for PPH of the UT in each sex among FWs with nonspecific neck/shoulder MP. LT strength and dominant painful ipsilateral cervical rotation ROM were risk factors for PPH of the UT in men and women in adjusted multivariate analyses. Improvements of LT strength and dominant painful ipsilateral cervical rotation ROM may be protective against PPH in FWs with nonspecific neck/shoulder MP.
BDI, Beck depression inventory
BRPE, Borg rating of perceived exertion
CI, confidence interval
GHER, glenohumeral external rotator
FW, food service worker
LT, lower trapezius
MP, myofascial pain
OR, odds ratio
PPH, pressure pain hypersensitivity
PPS, pressure pain sensitivity
ROM, range of motion
SA, serratus anterior
UT, upper trapezius
Ethic approval and consent to participate
The experimental protocol was established according to the ethical guidelines of the Helsinki Declaration. The study protocol was approved by the Yonsei University Mirae Campus Institutional Review Board (certification number: #1041849–201603-BM-005–02). The participants were then asked to sign a written informed consent. The informed consent was made in two identical copies that the participants could retain one.
Consent for publication
Not applicable.
Availability of data and materials
The datasets analyzed during the current study are available from the corresponding author on reasonable request.
Competing interest
The authors declare that they have no potential conflicts of interest with respect to the research, authorship, and publication of this article. The results are presented clearly, honestly, and without fabrication, falsification, or inappropriate data manipulation.
Funding
Yonsei University Research Fund (grant numbers: 2020–52–0016) provided funding for this study.
Author contributions
UJH contributes to conceptualization, project administration, writing-original draft, data curation, investigation, methodology and formal analysis in the present study. OYK contributes to conceptualization, funding acquisition, project administration and writing-original draft in the current study. All authors reviewed the manuscript.
Acknowledgments
We would like to thank all of the participants for their time and commitment to the present study.