Literature DB >> 30254482

Pain quality descriptors and sex-related differences in patients with shoulder pain.

Chi-Lun Rau1, Jing-Lan Yang2, Jiu-Jenq Lin2,3, Pei-Chi Wu4, Chieh-Yi Hou5, Chen-Yi Song6, Ching-Lin Hsieh2,7,8.   

Abstract

BACKGROUND: Pain quality assessment is applicable to pain evaluation and treatment. However, shoulder pain quality descriptors mostly remain unknown. Furthermore, sex-related differences considerably affect clinical pain experience. The aim of this study was to investigate pain quality descriptors and to compare sex-related differences in using pain descriptors among patients with shoulder pain.
MATERIALS AND METHODS: A sample of 120 patients (41 males and 79 females) with shoulder pain was recruited from Department of Physical Medicine and Rehabilitation. Shoulder pain quality descriptors were investigated using a 36-item pain quality list. Sex-related differences in the number and frequency of pain quality descriptors were compared using independent t-test and X2 test, respectively.
RESULTS: Fifteen commonly used shoulder pain quality descriptors were identified. Among them, "sore" was the most frequently used, followed by "pulled". Deep pain sensations (eg, sore, pulled, torsion, and taut) were relatively more predominant than superficial pain sensations (eg, pricking and lacerating). In terms of sex-related differences, female patients used more pain quality descriptors than the male patients (5.5 vs 3.7, P<0.001). The frequency of paroxysmal, dullness, and constriction-related pain quality descriptors, such as "shooting", "faint", "clicking", and "squeezing", were higher in females than in males (all P<0.05).
CONCLUSION: The results provide commonly used shoulder pain quality descriptors that are useful for assessing shoulder pain and for developing a new shoulder pain assessment tool. Because the shoulder pain quality profiles differed between male and female participants, clinicians and researchers should consider sex-related differences in assessing and treating shoulder pain.

Entities:  

Keywords:  culture; measurement; musculoskeletal pain; pain assessment

Year:  2018        PMID: 30254482      PMCID: PMC6140732          DOI: 10.2147/JPR.S169006

Source DB:  PubMed          Journal:  J Pain Res        ISSN: 1178-7090            Impact factor:   3.133


Introduction

Pain is an individualized, subjective, and multidimensional experience that relies considerably on communication.1 Studies on words that patients use to describe chronic pain have indicated that pain quality descriptors are the most frequently used.2–4 Therefore, pain quality descriptors are crucial in describing pain. Implications of pain quality descriptors have received increasing attention. These descriptors have helped clinicians discriminate chronic pain conditions,4 pain mechanisms,5 and pain sensations6 and identify responses to treatments.7,8 These results suggest that pain quality assessment is applicable to pain evaluation and treatment. Pain quality descriptors of lower back pain 4,5,8,9 and arthritis-related pain5,8,10,11 have been studied. Although shoulder pain is a common musculoskeletal pain condition,12 shoulder pain quality descriptors mostly remain unknown. Because pain has multiple and distinct qualities,4 a variation in pain perception can be reasonably assumed among patients with different musculoskeletal diseases. Therefore, back pain and arthritic pain quality descriptors reported in previous studies cannot be generalized to shoulder pain. Furthermore, although musculoskeletal pain is traditionally considered nociceptive, several studies have suggested shared mechanisms of neuropathic pain in people with osteoarthritis and shoulder pain.13,14 Because pain quality descriptors have the potential to facilitate discrimination of pain mechanisms,5 exclusively assessing shoulder pain quality facilitates understanding nociceptive contributions and neuropathic pain components in overall shoulder pain. A mechanism-based classification of shoulder pain benefits shoulder pain management. The language used to describe pain may vary among men and women because they may have learned different words from earlier pain experiences for describing pain,15 and studies have shown that sex-related differences considerably affect clinical pain experience.16,17 However, few studies have examined sex-related differences in pain language, particularly in the sensory quality of pain.1,18 A study in Australia showed that female university students used more words and more McGill Pain Questionnaire (MPQ) descriptors and focused more on pain quality than male students did to describe their pain experiences.1 By contrast, Robinson et al18 found no sex-related differences in sensory subscale scores of the MPQ among patients with back and facial pain, indicating similar pain quality among men and women. Hence, no conclusive sex-related difference regarding pain quality descriptors was observed. Investigating sex-related differences in pain quality descriptors has clinical and research implications. Providing healthcare professionals with the knowledge of sex-specific pain terminologies can facilitate clinical communication with patients for pain-related assessment and treatment planning. Moreover, if sex-related differences exist, researchers should consider the differences during development of a pain quality assessment tool and the rating principles for clinical and research use. The purpose of this study was to investigate shoulder pain quality descriptors and compare sex-related differences. We hypothesize that sex-related differences exist in the number and frequency of shoulder pain quality descriptors.

Material and methods

Overview of study design

The study used a cross-sectional design in which 1) shoulder pain quality descriptors were investigated and 2) sex-related differences in the number and frequency of shoulder pain quality descriptors were compared.

Participants

The study included 120 patients who were undergoing physical therapy for shoulder pain in the Department of Physical Medicine and Rehabilitation at National Taiwan University (NTU) Hospital. Eligible patients were required to 1) have a primary shoulder diagnosis (eg, adhesive capsulitis, rotator cuff tear, or tendinitis), 2) be 18 years or older, and 3) use Mandarin Chinese as their primary language. Exclusion criteria were 1) presence of a concomitant illness likely to confound pain assessment (eg, a wound or an infection), 2) presence of a serious or unstable medical or psychological condition (eg, stroke, cancer, depression, and schizophrenia) that could compromise study participation, and 3) surgery within the past 30 days. The participants provided signed informed consent form prior to participation. The study protocol was approved by the Ethics Committee of the NTU Hospital.

Data collection

To obtain a comprehensive list of shoulder pain quality descriptors for prompting the participants, 116 rehabilitation staff members (therapists, physiatrists, and nurses) having comprehensive pain vocabularies acquired through clinical practice, personal pain experiences, and medical education were surveyed regarding Chinese pain quality descriptors. Staff members with clinical experiences exceeding 2 years and who were regularly involved in the care of patients with pain were requested to provide descriptors to describe various pain syndromes (Table 1). Based on their responses, 36 pain quality descriptors were obtained (Table 2), and a 36-item pain quality list was generated.
Table 1

List of 28 pain syndromes

Pain syndromePain syndrome
Head and neck painExtremity pain
 Headache Upper extremity joint pain
 Toothache Lower extremity joint pain
 Neck painMusculoskeletal pain
 Sore throat Palindromic rheumatism
 Shoulder pain Gout
Chest pain Muscular spasm (cramp)
 Chest wall pain Muscle soreness
 Angina Ligament sprain
Abdominal pain Fracture
 Stomach acheNeurological pain
 Abdominal pain Sciatica
 Pelvic pain Trigeminal neuralgia
 Menstrual pain Intercostal neuralgia
 Labor pain Postherpetic neuralgia
 Painful defecationOther pain
 Dysuria Surgical wound pain
Back pain
 Backache
Table 2

Frequency of pain quality descriptors among male (N =41) and female (N =79) patients with shoulder pain

Pain quality descriptorTotal n (%)Male n (%)Female n (%)P-value
Sore78 (65.0)24 (58.5)54 (68.4)0.285
Pulled61 (50.8)20 (48.8)41 (51.9)0.746
Torsion49 (40.8)15 (36.6)34 (43.0)0.495
Taut45 (37.5)11 (26.8)34 (43.0)0.082
Faint*44 (36.7)8 (19.5)36 (45.6)0.005
Shooting*38 (31.7)8 (19.5)30 (38.0)0.039
Pricking36 (30.0)9 (22.0)27 (34.2)0.166
Pressing35 (29.2)11 (26.8)24 (30.4)0.685
Clicking*35 (29.2)7 (17.1)28 (35.4)0.036
Lacerating23 (19.2)9 (22.0)14 (17.7)0.577
Pinch18 (15.0)5 (12.2)13 (16.5)0.535
Numb16 (13.3)2 (4.9)14 (17.7)0.050
Tension16 (13.3)2 (4.9)14 (17.7)0.050
Dull14 (11.7)2 (4.9)12 (15.2)0.135
Squeezing*14 (11.7)1 (2.4)13 (16.5)0.033
Sharp10 (8.3)4 (9.8)6 (7.6)0.734
Drilling8 (6.7)2 (4.9)6 (7.6)0.714
Spasm7 (5.8)2 (4.9)5 (6.3)1.000
Percussion7 (5.8)2 (4.9)5 (6.3)1.000
Throbbing5 (4.2)1 (2.4)4 (5.1)0.660
Hot5 (4.2)0 (0)5 (6.3)0.164
Burning5 (4.2)0 (0)5 (6.3)0.164
Cramping4 (3.3)2 (4.9)2 (2.5)0.605
Cutting3 (2.5)0 (0)3 (3.8)0.550
Explosive2 (1.7)0 (0)2 (2.5)0.546
Cold2 (1.7)0 (0)2 (2.5)0.546
Heavy2 (1.7)1 (2.4)1 (1.3)1.000
Itchy2 (1.7)1 (2.4)1 (1.3)1.000
Dizziness1 (0.8)0 (0)1 (1.3)1.000
Radiating1 (0.8)0 (0)1 (1.3)1.000
Scratchy1 (0.8)1 (2.4)0 (0)0.342
Dry0 (0)0 (0)0 (0)-
Electrical0 (0)0 (0)0 (0)-
Distension0 (0)0 (0)0 (0)-
Corrosive0 (0)0 (0)0 (0)-
Stinging0 (0)0 (0)0 (0)-

Note:

The frequency of this pain descriptor was higher in females than in males (P <0.05).

The participants were offered the 36-item pain quality list to select pain quality descriptors that corresponded to their shoulder pain. The participants were allowed to describe shoulder pain sensation characteristics that they experienced but were not in the list. They were incentivized with US$3 gift cards for completing the questionnaire. In addition to pain quality, the worst pain intensity experienced in the preceding week was assessed using an 11-point rating scale from 0 (no pain) to 10 (extreme pain).19 The pain duration and symptomatic side (shoulder) were also recorded.

Data analysis

Statistical analyses were performed using SPSS 20.0 for Windows. Descriptive statistics were used to determine the participants’ demographics and clinical characteristics. The number and frequency of pain quality descriptors used by the participants were also calculated separately by sex. Descriptors used by more than 10% of the participants were considered common pain descriptors.3 An independent t-test was used to compare the continuous variables (ie, age, pain intensity, duration, and number of pain quality descriptors), and the chi-squared (X2) or Fisher’s exact t-test was used to compare the categorical variables (ie, education level, diagnosis, symptomatic side, painful stage, and frequency of pain quality descriptors) between the male and female patients. Differences were considered significant at P <0.05. Additionally, two effect size (ES) measures (Cohen’s d and Cramér’s V) were calculated to quantify the magnitude of the differences between the male and female participants. Cohen’s d values of 0.20, 0.50, and 0.80 indicated small, moderate, and large ES, respectively, and Cramér’s V values of 0.10, 0.30, and 0.50 were considered small, moderate, and large ES, respectively.20

Results

Description of the study sample

Among the 120 participants, 41 were males and 79 were females. The participants were similar in age, educational level, and diagnosis (Table 3). In addition, we found no sex-related differences regarding the side of the shoulder pain, pain intensity, or pain duration (Table 3). Most participants were diagnosed with adhesive capsulitis (frozen shoulder), tenosynovitis, or tendinitis and experienced chronic pain with moderate pain intensity (Table 3).
Table 3

Demographic and clinical characteristics of patients with shoulder pain

CharacteristicMale (n = 41)Female (n = 79)P-value
Age (y)52.6 ± 15.055.1 ± 8.70.315
Height (cm)169.9 ± 6.4157.0 ± 5.4-
Weight (kg)69.8 ± 10.756.2 ± 8.9-
Education levela0.191
 Primary school45
 Junior high school28
 Senior high school29
 Professional school310
 Junior college312
 College1322
 Graduate school1412
Diagnosis0.725
 Adhesive capsulitis/frozen shoulder1532
 Tenosynovitis/tendinitis1020
 Rotator cuff tear (syndrome)55
 Sprain66
 Fracture01
 Bursitis25
 Arthritis310
Symptom side0.106
 Right2437
 Left1339
 Bilateral43
 Pain duration (mo)b8.9 ± 11.87.8 ± 5.40.453
Stage0.622
 Acute/subacute (0–3 mo)79
 Short-term chronic (3–12 mo)2860
 Long-term chronic (>12 mo)610
 Pain intensity (0–10 numeric rating scale)4.5 ± 2.05.4 ± 2.60.070

Note:

One female participant with missing data.

Shoulder pain quality descriptors

Table 2 lists the number and frequency of the shoulder pain quality descriptors in the order of the total frequency among all participants. A total of 31 shoulder pain quality descriptors were identified. Participants provided no supplementary descriptors. Fifteen quality descriptors—sore, pulled, torsion, taut, faint, shooting, pricking, pressing, clicking, lacerating, pinch, numb, tension, dull, and squeezing—were used by more than 10% of the participants. The participants on average used 4.9 (SD = 2.9) pain quality descriptors to describe shoulder pain.

Sex-related differences in the number and frequency of shoulder pain quality descriptors

The female participants provided more pain quality descriptors than male participants did. The average number of descriptors provided by female and male participants was 5.5 (SD 3.0) and 3.7 (SD 2.0), respectively (P <0.001, Cohen’s d = 0.67). Fifteen relatively common pain quality descriptors were used by the female participants, whereas 11 were used by the male participants (Table 2). “Sore” was the most common pain quality descriptor used by participants of both sexes, followed by “pulled”. The frequency of using other pain quality descriptors varied among men and women (Table 2). Four pain quality descriptors, “faint”, “shooting”, “clicking”, and “squeezing”, were used frequently by the female participants (all P <0.05, Cramér’s V = 0.19–0.26) along with “tension” and “numb” (both P = 0.05, Cramér’s V = 0.18).

Discussion

The current study discovered 15 common shoulder pain quality descriptors and identified different patterns or profiles of shoulder pain quality between male and female participants. The findings contribute to the growing research on various experiences of pain quality from a patient’s perspective. Because sex-related differences were observed in pain quality but not in pain intensity, our findings suggest that the scores based on global pain intensity may fail to reflect the diversity of pain manifestations and the complexity of underlying biological mechanisms in men and women. Shoulder pain was found to have a diverse pain quality (Table 2), comprising deep and superficial pain characteristics.9,11 Deep pain entails traction (eg, pulled and torsion), dullness (eg, sore, dull, faint, or slight), and constriction (eg, taut and squeezing) sensations, whereas superficial pain comprises puncturing or abrasive (eg, pricking), incisive (eg, lacerating),9,21 and numbness sensations.11 The presence of deep and superficial pain sensations (eg, dull, pressing, and pricking) suggests that shoulder pain is conducted through Aδ and C nerve fibers, the major pain-conducting nerve fibers.6 In addition to deep and superficial pain sensations, we found that paroxysmal pain sensations (eg, shooting)11 were frequently (>30%) noted in patients with shoulder pain; by contrast, “hot” and “cold” were rarely used (<5%). Similar findings were observed in a recent study on pain quality response profiles of treatment for shoulder impingement syndrome, which showed high intensities of deep (eg, dull and achy) or paroxysmal (eg, sharp and shooting) pain quality and relatively minor “hot” or “cold” pain at the baseline.7 The descriptor “cold” appears to be seldom used to describe musculoskeletal pain. Studies on lower back and knee pain have also found that the descriptor “cold” was rarely used.4,5,9 Combining the 15 common shoulder pain quality descriptors facilitates the study of shoulder pain of different etiologies. Various pain qualities are associated with different underlying pain mechanisms.8 Deep pains (eg, sore, pulled, and torsion), which are relatively predominant in nociceptive pain,5 are commonly used as shoulder pain descriptors. Although shoulder pain is traditionally considered nociceptive, 30% and 13% of our patients described their shoulder pain as “prick” and “numb”, respectively. Combined with other neuropathic pain-like descriptors (eg, burning and itchy),22,23 such pain qualities suggest a shared mechanism with neuropathic pain. A recent systemic review concluded that hypersensitivity of the central nervous system contributed to shoulder pain in a subgroup within the shoulder pain population.14 Thus, with increased awareness of central sensitization in shoulder pain, implementation of accessible and cost-effective pain quality assessment may be warranted. Consistent with our hypothesis, sex-related differences were evident in the number and frequency of shoulder pain descriptors, whereas the demographic and clinical characteristics (eg, education level, diagnosis, pain duration, and intensity) were comparable between male and female patients. The findings were similar to those of the study conducted in Australia.1 However, Robinson et al18 found no sex-related differences in pain quality among patients with back and facial pain. The discrepancy between Robinson et al’s study and the current study may be attributable to the differences in patient sampling and testing methods (questionnaire usage). Nevertheless, our findings support sex-related differences in clinical pain experiences, specifically regarding shoulder pain quality, in addition to prevalence of pain in the shoulder. The current study found that more shoulder pain quality descriptors were used by the female patients than by the male patients (5.5 vs 3.7) with moderate ES. We also discovered that several deep pain (eg, dullness and constriction-related sensations), paroxysmal pain (eg, shooting), and numb pain sensations were frequently reported by the female patients, although the differences appeared minor (small ES). Sex-stereotyped expectations among men and women may have a strong influence on pain response.24 Theoretically, men and women are predisposed to respond differently and have different expectations relative to pain perception. Men are expected to be less sensitive, more enduring, and reluctant to report pain than women.24 Men strive to maintain the stereotype of toughness and stoicism and were reticent to admit discomfort because of their masculinity. In addition, Confucianism, a system of ethics and philosophy inherent in the Chinese culture, may accentuate sex differences by promoting stoicism in males and allowing greater emotional expression and reports of physical distress in females.25 Sex role expectations may explain the differences in using shoulder pain descriptors. Although why female and male patients use different shoulder pain descriptors remain unclear¸ the preliminary findings suggest that future research should consider sex-related differences in studying shoulder pain, particularly pain quality. A partially open Chinese pain quality questionnaire was used to complete a comprehensive survey of shoulder pain quality descriptors, wherein patients were also allowed to provide voluntary descriptors. Several potential pain quality measures may be selected, including the MPQ and the pain quality assessment scale (PQAS).26,27 However, direct translations of measures that are developed using samples of patients from one country or culture are not necessarily content valid for use in other countries or cultures.28 Although the MPQ has 42 sensory descriptors, most were rarely used by patients with pain.3,4 Although the PQAS have demonstrated content validity as measures of pain quality in the western chronic pain populations,3,4 it contains the most common sensory descriptors, except “sore”. Because “sore” (suantong in Chinese) is a Chinese culture-specific descriptor of bone, muscle, and joint pain,29 the use of the PQAS was not considered in the current investigation. Future studies can reproduce the current study design in additional samples of patients with pain, and use the identified descriptors to further develop a specific (eg, shoulder pain) or generic pain quality assessment tool. Improving pain assessment by measuring pain quality in addition to pain intensity can completely capture a patient’s pain experience and response to pain treatment.30 This study has certain limitations. First, the investigation was conducted in clinical settings. Therefore, participants were patients who actively sought medical care for their shoulder pain. Physical therapy may somewhat affect their pain assessments. Second, the sample was heterogeneous consisting of distinctly different musculoskeletal conditions. Third, convenience sampling was adopted, through which more female patients were enrolled. Although this may challenge the obtained sex-related differences, the study nevertheless provides a favorable clinical picture that musculoskeletal pain, including shoulder pain, is generally highly prevalent in women.17 Finally, pain descriptors might be country-, language-, ethnicity-, or culture-specific.29,31 Therefore, the findings may not be generalized to other populations. Future studies should be conducted to explore correlations between pain quality, pain intensity, and motor function (eg, functional limitations and/or disability).

Conclusion

This study found 15 common descriptors for shoulder pain quality assessment. Because shoulder pain quality profiles differed between men and women in this study, clinicians and researchers should consider sex-related differences during shoulder pain management. Valid pain quality assessment tools are warranted in additional studies to further confirm the sex-related differences.
  28 in total

1.  The LANSS Pain Scale: the Leeds assessment of neuropathic symptoms and signs.

Authors:  M Bennett
Journal:  Pain       Date:  2001-05       Impact factor: 6.961

2.  Consensus analysis: reliability, validity, and informant accuracy in use of American and Mandarin Chinese pain descriptors.

Authors:  R Moore; I Brødsgaard; M L Miller; T K Mao; S F Dworkin
Journal:  Ann Behav Med       Date:  1997

3.  Validation of the Brief Pain Inventory in a Taiwanese population.

Authors:  L P Ger; S T Ho; W Z Sun; M S Wang; C S Cleeland
Journal:  J Pain Symptom Manage       Date:  1999-11       Impact factor: 3.612

4.  Adapting the Iconic Pain Assessment Tool Version 2 (IPAT2) for adults and adolescents with arthritis pain through usability testing and refinement of pain quality icons.

Authors:  Chitra Lalloo; Jennifer N Stinson; Jacqueline R Hochman; Jonathan D Adachi; James L Henry
Journal:  Clin J Pain       Date:  2013-03       Impact factor: 3.442

5.  Comparison of pain syndromes associated with nervous or somatic lesions and development of a new neuropathic pain diagnostic questionnaire (DN4).

Authors:  Didier Bouhassira; Nadine Attal; Haiel Alchaar; François Boureau; Bruno Brochet; Jean Bruxelle; Gérard Cunin; Jacques Fermanian; Patrick Ginies; Aurélie Grun-Overdyking; Hélène Jafari-Schluep; Michel Lantéri-Minet; Bernard Laurent; Gérard Mick; Alain Serrie; Dominique Valade; Eric Vicaut
Journal:  Pain       Date:  2005-01-26       Impact factor: 6.961

Review 6.  The role of central sensitization in shoulder pain: A systematic literature review.

Authors:  Marc N Sanchis; Enrique Lluch; Jo Nijs; Filip Struyf; Maija Kangasperko
Journal:  Semin Arthritis Rheum       Date:  2014-11-13       Impact factor: 5.532

7.  Describing pain with physical disability: narrative interviews and the McGill Pain Questionnaire.

Authors:  Brian J Dudgeon; Dawn M Ehde; Diana D Cardenas; Joyce M Engel; Amy J Hoffman; Mark P Jensen
Journal:  Arch Phys Med Rehabil       Date:  2005-01       Impact factor: 3.966

8.  The pain quality assessment scale: assessment of pain quality in carpal tunnel syndrome.

Authors:  Mark P Jensen; Arnold R Gammaitoni; David O Olaleye; Napoleon Oleka; Srinivas R Nalamachu; Bradley S Galer
Journal:  J Pain       Date:  2006-11       Impact factor: 5.820

Review 9.  Gender variations in clinical pain experience.

Authors:  A M Unruh
Journal:  Pain       Date:  1996 May-Jun       Impact factor: 6.961

10.  The words patients use to describe chronic pain: implications for measuring pain quality.

Authors:  Mark P Jensen; Linea E Johnson; Kevin J Gertz; Bradley S Galer; Arnold R Gammaitoni
Journal:  Pain       Date:  2013-08-08       Impact factor: 6.961

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Journal:  Eur J Pain       Date:  2021-11-16       Impact factor: 3.651

Review 2.  Non-Surgical and Rehabilitative Interventions in Patients with Frozen Shoulder: Umbrella Review of Systematic Reviews.

Authors:  Alessandro de Sire; Francesco Agostini; Andrea Bernetti; Massimiliano Mangone; Marco Ruggiero; Stefano Dinatale; Alessandro Chiappetta; Marco Paoloni; Antonio Ammendolia; Teresa Paolucci
Journal:  J Pain Res       Date:  2022-08-19       Impact factor: 2.832

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