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Abstract Objective We describe the most frequently used musculoskeletal diagnoses in Veterans Health Administration care. We report the number of visits and patients associated with common musculoskeletal International Classification of Diseases (ICD)-10 codes and compare trends across primary and specialty care settings. Design Secondary analysis of a longitudinal cohort study. Subjects Veterans included in the Musculoskeletal Diagnosis Cohort with a musculoskeletal diagnosis from October 1, 2015, through September 30, 2017. Methods We obtained counts and proportions of all musculoskeletal diagnosis codes used and the number of unique patients with each musculoskeletal diagnosis. Diagnosis use was compared between primary and specialty care settings. Results Of more than 6,400 possible ICD-10 M-codes describing “Diseases of the Musculoskeletal System and Connective Tissue,” 5,723 codes were used at least once. The most frequently used ICD-10 M-code was “Low Back Pain” (18.3%), followed by “Cervicalgia” (3.6%). Collectively, the 100 most frequently used codes accounted for 80% of M-coded visit diagnoses, and 95% of patients had at least one of these diagnoses. The most common diagnoses (spinal pain, joint pain, osteoarthritis) were used similarly in primary and specialty care settings. Conclusion A diverse sample of all available musculoskeletal diagnosis codes were used; however, less than 2% of all possible codes accounted for 80% of the diagnoses used. This trend was consistent across primary and specialty care settings. The most frequently used diagnosis codes describe the types of musculoskeletal conditions, among a large pool of potential diagnoses, that prompt veterans to present to the Veterans Health Administration for musculoskeletal care.

Background Musculoskeletal disorders particularly in the back and lower extremities are common among marines. Here, movement-control tests are considered clinically useful for screening and follow-up evaluation. However, few studies have addressed the reliability of clinical tests, and no such published data exists for marines. The present aim was therefore to determine the inter- and intra-observer reliability of clinically convenient tests emphasizing movement control of the back and hip among marines. A secondary aim was to investigate the sensitivity and specificity of these clinical tests for discriminating musculoskeletal pain disorders in this group of military personnel. Methods This inter- and intra-observer reliability study used a test-retest approach with six standardized clinical tests focusing on movement control for back and hip. Thirty-three marines (age 28.7 yrs, SD 5.9) on active duty volunteered and were recruited. They followed an in-vivo observation test procedure that covered both low- and high-load (threshold) tasks relevant for marines on operational duty. Two independent observers simultaneously rated performance as “correct” or “incorrect” following a standardized assessment protocol. Re-testing followed 7–10 days thereafter. Reliability was analysed using kappa (κ) coefficients, while discriminative power of the best-fitting tests for back- and lower-extremity pain was assessed using a multiple-variable regression model. Results Inter-observer reliability for the six tests was moderate to almost perfect with κ-coefficients ranging between 0.56-0.95. Three tests reached almost perfect inter-observer reliability with mean κ-coefficients > 0.81. However, intra-observer reliability was fair-to-moderate with mean κ-coefficients between 0.22-0.58. Three tests achieved moderate intra-observer reliability with κ-coefficients > 0.41. Combinations of one low- and one high-threshold test best discriminated prior back pain, but results were inconsistent for lower-extremity pain. Conclusions Our results suggest that clinical tests of movement control of back and hip are reliable for use in screening protocols using several observers with marines. However, test-retest reproducibility was less accurate, which should be considered in follow-up evaluations. The results also indicate that combinations of low- and high-threshold tests have discriminative validity for prior back pain, but were inconclusive for lower-extremity pain.

Physiological and psychological mechanisms have been proposed to link stress and musculoskeletal pain (MSP), and a number of stress biomarkers in patients with chronic pain have shown to be associated with stress-related disorders as well as health and recovery. The aim was to study if similar results might be found in a working population, in stress and computer intensive occupations with mild/moderate pain in neck, shoulder and back. The questions were if there are: (1) associations between self rated neck, shoulder and back pain (VAS) on one hand and stress-related (catabolic), recovery related (anabolic) variables, cardiovascular/lifestyle factors and immune markers on the other hand. (2) associations between long term changes in pain and stress marker values (6 month period). (3) predictive values in stress biomarkers for pain (12 month period) A study group with 121 media workers, 67 males (average 45 years) and 53 females (average 43 years), at three news departments of a media company was recruited. Pain occurrence and pain level in neck, shoulder, upper and low back were self-rated at three times with a 6-month interval towards the last month. Stress biomarker sampling was performed, at the same intervals. An additional similar questionnaire with momentary ratings focusing on “at present” i.e. within the same hour as stress biomarker sampling was performed. There were no changes in medicine intake or computer working hours during the 12 month study period. The total pain level and prevalence of pain decreased between baseline and 12 months´ follow-up. The rate of participation was 95%. Cross-sectional analyses on differences in stress biomarkers in groups of “no pain” and “pain” showed less beneficial stress biomarker levels ( P  < 0.05) in the “pain” group after age and gender adjustments in: S-DHEA-S and P-endothelin, S-insulin and P-fibrinogen. Analyses of each gender separately, adjusted for age, revealed in males differences in S-insulin, saliva cortisol 3, and P-endothelin. Furthermore, tendencies were seen in BMI, P-fibrinogen, and S-testosterone. In the female “pain” group a less beneficial P-BNP level was found. Longitudinal analysis of changes in pain levels and stress biomarkers within an interval of 6 months showed beneficial changes in the following stress markers: P-NPY, S-albumin, S-growth hormone and S-HDL when pain decreased, and vice versa when pain increased. Linear regression analyses showed statistically significant predicting values at the initial test instance for pain 12 months later in lower S-DHEA-S and S-albumin and higher B-HbA1c and P-fibrinogen. In stepwise regression and after age and gender adjustments, the associations with S-DHEA-S remained statistically significant. The present study shows that individuals in working life with a high level of regenerative/anabolic activity have less pain than other subjects, and that decreased regenerative/anabolic activity is associated with increasing pain. The levels of NPY, albumin, GH and HDL increased when pain decreased and vice versa. Low DHEA-S predicted pain 12 months later. These findings might contribute to increased knowledge about strategies to prevent further progression of neck/shoulder/back pain in persons who are “not yet in chronic pain”.

Background In the literature there are discussions on the choice of outcome and the need for more longitudinal studies of musculoskeletal disorders. The general aim of this longitudinal study was to analyze musculoskeletal neck pain, in a group of young adults. Specific aims were to determine whether psychosocial factors, computer use, high work/study demands, and lifestyle are long-term or short-term factors for musculoskeletal neck pain, and whether these factors are important for developing or ongoing musculoskeletal neck pain. Methods Three regression models were used to analyze the different outcomes. Pain at present was analyzed with a marginal logistic model, for number of years with pain a Poisson regression model was used and for developing and ongoing pain a logistic model was used. Presented results are odds ratios and proportion ratios (logistic models) and rate ratios (Poisson model). The material consisted of web-based questionnaires answered by 1204 Swedish university students from a prospective cohort recruited in 2002. Results Perceived stress was a risk factor for pain at present (PR = 1.6), for developing pain (PR = 1.7) and for number of years with pain (RR = 1.3). High work/study demands was associated with pain at present (PR = 1.6); and with number of years with pain when the demands negatively affect home life (RR = 1.3). Computer use pattern (number of times/week with a computer session ≥ 4 h, without break) was a risk factor for developing pain (PR = 1.7), but also associated with pain at present (PR = 1.4) and number of years with pain (RR = 1.2). Among life style factors smoking (PR = 1.8) was found to be associated to pain at present. The difference between men and women in prevalence of musculoskeletal pain was confirmed in this study. It was smallest for the outcome ongoing pain (PR = 1.4) compared to pain at present (PR = 2.4) and developing pain (PR = 2.5). Conclusion By using different regression models different aspects of neck pain pattern could be addressed and the risk factors impact on pain pattern was identified. Short-term risk factors were perceived stress, high work/study demands and computer use pattern (break pattern). Those were also long-term risk factors. For developing pain perceived stress and computer use pattern were risk factors.

Atlas of Musculoskeletal Ultrasound Anatomy provides an essential grounding in normal ultrasound anatomy, enabling the reader to assess whether anatomy is disrupted through injury or disease. The book is structured systematically, with all commonly imaged areas illustrated by high quality ultrasound scans with accompanying concise descriptive text. Features of the second edition: • Over 100 individual anatomical descriptions • Numerous new images from the latest generation ultrasound machines • Improved surface anatomy diagrams indicating limb and probe optimal positions for each area of anatomy • Numerous radiographic anatomical diagrams showing ultrasound probe overlying the anatomical structure for improved visual understanding Atlas of Musculoskeletal Ultrasound Anatomy appeals to a wide range of practitioners who need to visualize the musculoskeletal system to diagnose injuries or locate blood vessels or nerves while undertaking clinical procedures. Radiologists, sonographers, anaesthetists, physiotherapists, rheumatologists, and orthopaedic surgeons will find this an invaluable practical reference.

Work-related musculoskeletal disorders (WMSDs) are a major contributor to disability worldwide and substantial societal costs. The use of wearable motion capture instruments has a role in preventing WMSDs by contributing to improvements in exposure and risk assessment and potentially improved effectiveness in work technique training. Given the versatile potential for wearables, this article aims to provide an overview of their application related to the prevention of WMSDs of the trunk and upper limbs and discusses challenges for the technology to support prevention measures and future opportunities, including future research needs. The relevant literature was identified from a screening of recent systematic literature reviews and overviews, and more recent studies were identified by a literature search using the Web of Science platform. Wearable technology enables continuous measurements of multiple body segments of superior accuracy and precision compared to observational tools. The technology also enables real-time visualization of exposures, automatic analyses, and real-time feedback to the user. While miniaturization and improved usability and wearability can expand the use also to more occupational settings and increase use among occupational safety and health practitioners, several fundamental challenges remain to be resolved. The future opportunities of increased usage of wearable motion capture devices for the prevention of work-related musculoskeletal disorders may require more international collaborations for creating common standards for measurements, analyses, and exposure metrics, which can be related to epidemiologically based risk categories for work-related musculoskeletal disorders.

Background Musculoskeletal disorders (MSD) are one of the most important problems among physiotherapists worldwide. However, there is no meta-analysis of the MSD prevalence in all body areas among physiotherapists. Objectives The purpose was to investigate and estimate the worldwide prevalence of MSD among physiotherapists using a systematic review-, meta-analysis and meta-regression. Methods The systematic review, meta-analysis and meta-regression were performed in 2022 using the PRISMA guidelines. Data sources The search was performed on PubMed/Medline, ScienceDirect, Google Scholar, Medeley and Science.gov databases. Study appraisal The quality appraisal of the included articles was assessed using the critical appraisal tool for cross-sectional studies AXIS. Results A total of 722 articles were found. After screening and comparison with the inclusion criteria, 26 studies were retained. Based on the random-effects model, the worldwide MSD prevalence in neck, upper back, mid back, lower back, shoulders, elbows, wrists/hands, thumb, hips/thighs, knees/legs, and ankles/feet was 26.4% (CI 95%: 21.0–31.9%), 17.7% (CI 95%: 13.2–22.2%), 14.9% (CI 95%: 7.7–22.1%), 40.1% (CI 95%: 32.2–48.0%), 20.8% (CI 95%: 16.5–25.1), 7.0% (CI 95%: 5.2–8.9), 18.1% (CI 95%: 14.7–21.5%), 35.4% (CI 95%: 23.0–47.8), 7.0% (CI 95%: 5.2–8.8), 13.0% (CI 95%: 10.3–15.8), and 5% (CI 95%: 4.0–6.9) respectively. The neck and shoulder prevalence of four continents were close to the world prevalence. No effect of continent was found on MSD prevalence. The heterogeneity of the results obtained in the meta-analysis and meta-regression was discussed. Conclusions Based on the random effects model, the results of the worldwide meta-analysis showed that lower back pain, thumb, neck and shoulder were the area most at risk for MSD and were therefore those to be monitored as a priority. Recommendations were proposed for future reviews and meta-analyses.

BackgroundNon-adherence to treatment could preclude reaching an optimal outcome. Thirty to 80% of patients with rheumatic and musculoskeletal diseases (RMDs) do not adhere to the agreed treatment.ObjectivesThe objective was to establish points to consider (PtCs) for the prevention, screening, assessment and management of non-adherence to (non-)pharmacological treatments in people with RMDs.MethodsAn EULAR task force (TF) was established, and the EULAR standardised operating procedures for the development of PtCs were followed. The TF included healthcare providers (HCPs), comprising rheumatologists, nurses, pharmacists, psychologists, physiotherapists, occupational therapists and patient-representatives from 12 European countries. A review of systematic reviews was conducted in advance to support the TF in formulating the PtCs. The level of agreement among the TF was established by anonymous online voting.ResultsFour overarching principles and nine PtCs were formulated. The PtCs reflect the phases of action on non-adherence. HCPs should assess and discuss adherence with patients on a regular basis and support patients to treatment adherence. As adherence is an agreed behaviour, the treatment has to be tailored to the patients’ needs. The level of agreement ranged from 9.5 to 9.9 out of 10.ConclusionsThese PtCs can help HCPs to support people with RMDs to be more adherent to the agreed treatment plan. The basic scheme being prevent non-adherence by bonding with the patient and building trust, overcoming structural barriers, assessing in a blame-free environment and tailoring the solution to the problem.

Background We have previously reported quantitative exposure-response relationships between physical exposures recorded by technical methods, and complaints and diagnoses in the neck/shoulders, and the elbows/hands, based on group data. In the present study the number of workers was doubled, and information on individual factors, and psychosocial working conditions was used. Relationships between various kinds of exposure and response have been analysed in this larger and more detailed sample. Methods The prevalence of complaints (Nordic Questionnaire) and diagnoses (clinical examination) were recorded in a number of occupational groups within which the participants had similar work tasks, 34 groups of female employees ( N  = 4733 women) and 17 groups of male employees ( N  = 1107 men). Age and other individual characteristics were recorded, as well as psychosocial work environment factors (job-content questionnaire) for most participants. Postures and velocities (inclinometry) of the head ( N  = 505) and right upper arm ( N  = 510), right wrist postures and velocities (electrogoniometry; N  = 685), and muscular activity (electromyography; EMG) in the right trapezius muscle ( N  = 647) and forearm extensors ( N  = 396) were recorded in representative sub-groups. Exposure-response relationships between physical exposure and musculoskeletal disorders, adjusted for individual factors with Poisson regression were then calculated. The effect of introducing psychosocial conditions into the models was also assessed. Results Associations were found between head velocity, trapezius activity, upper arm velocity, forearm extensor activity and wrist posture and velocity, and most neck/shoulder and elbow/hand complaints and diagnoses. Adjustment for age, other individual characteristics and psychosocial work conditions had only a limited effect on these associations. For example, the attributable fraction for tension neck syndrome among female workers with the highest quintile of trapezius activity was 58%, for carpal tunnel syndrome versus wrist velocity it was 92% in men in the highest exposure quintile. Conclusions Based on the findings, we propose threshold limit values for upper arm and wrist velocity.