The Influence of Occupational and Non-Occupational Factors on the Prevalence of Musculoskeletal Complaints in Users of Portable Computers

Introduction. One of the priority socio-economic and medical-demographic problems in Russia is the high mortality. The study aim is to identify the most significant factors that determine the mortality on the example of two single-industry towns. Materials and methods. Mortality in two single-industry towns specializing in copper-nickel production, differenced in climate, environmental, and socio-economic indicators, was studied using age-standardized indicators averaged over 8 years (2010-2017). Results. In Monchegorsk, compared to Russia, with similar non-production characteristics, working-age mortality from cardiovascular diseases (CVD) was higher by 49.0%, from malignant neoplasms (MN) by 34.7%, from diseases of the digestive system by 35.5%, which confirms the negative impact of occupational factors on the mortality of the population of a single-industry city. In Norilsk city, with the worst characteristics of the environment and climate, compared to Monchegorsk, mortality from CVD was lower in working age by 40.6%, in post-working age by 41.4%; from MN - in working age lower by 37.2% that shows the compensating influence of socio-economic factors on mortality. Conclusion. Risk factors for increased mortality rates in single-industry towns with copper-nickel enterprises are the influence of harmful occupational factors, as well as environmental pollution. Along with primary prevention, an effective mechanism for reducing mortality is to improve socio-economic well-being, and the quality of medical care.

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OP0147 RHEUMATIC? - A DIGITAL DIAGNOSTIC DECISION SUPPORT TOOL FOR INDIVIDUALS SUSPECTING RHEUMATIC DISEASES: A MULTICENTER VALIDATION STUDY

Annals of the Rheumatic Diseases ◽

10.1136/annrheumdis-2021-eular.1118 ◽

2021 ◽

Vol 80 (Suppl 1) ◽

pp. 87.1-88

Author(s):

R. Knevel ◽

J. Knitza ◽

A. Hensvold ◽

A. Circiumaru ◽

T. Bruce ◽

...

Keyword(s):

Health Care ◽

Decision Support ◽

Rheumatic Disease ◽

Rheumatic Diseases ◽

Receiver Operating Curve ◽

Musculoskeletal Complaints ◽

Immune Mediated ◽

Diagnostic Decision ◽

Ocean Observations ◽

Receiver Operating

Background:Digital diagnostic decision support tools promise to accelerate diagnosis and increase health care efficiency in rheumatology. Rheumatic? is an online tool developed by specialists in rheumatology and general medicine together with patients and patient organizations for individuals suspecting a rheumatic disease.1,2 The tool can be used by people suspicious for rheumatic diseases resulting in individual advise on eventually seeking further health care.Objectives:We tested Rheumatic? for its ability to differentiate symptoms from immune-mediated diseases from other rheumatic and musculoskeletal complaints and disorders in patients visiting rheumatology clinics.Methods:The performance of Rheumatic? was tested using data from 175 patients from three university rheumatology centers covering two different settings:A.Risk-RA phase setting. Here, we tested whether Rheumatic? could predict the development of arthritis in 50 at risk-individuals with musculoskeletal complaints and anti-citrullinated protein antibody positivity from the KI (Karolinska Institutet)B.Early arthritis setting. Here, we tested whether Rheumatic? could predict the development of an immune-mediated rheumatic disease in i) EUMC (Erlangen) n=52 patients and ii) LUMC (Leiden) n=73 patients.In each setting, we examined the discriminative power of the total score with the Wilcoxon rank test and the area-under-the-receiver-operating-characteristic curve (AUC-ROC).Results:In setting A, the total test score clearly differentiated between individuals developing arthritis or not, median 245 versus 163, P < 0.0001, AUC-ROC = 75.3 (Figure 1). Also within patients with arthritis the Rheumatic? total score was significantly higher in patients developing an immune-mediated arthritic disease versus those who did not: median score EUMC 191 versus 107, P < 0.0001, AUC-ROC = 79.0, and LUMC 262 versus 212, P < 0.0001, AUC-ROC = 53.6.Figure 1.(Area under) the receiver operating curve for the total Rheumatic? scoreConclusion:Rheumatic? is a web-based patient-centered multilingual diagnostic tool capable of differentiating immune-mediated rheumatic conditions from other musculoskeletal problems. A following subject of research is how the tool performs in a population-wide setting.References:[1]Knitza J. et al. Mobile Health in Rheumatology: A Patient Survey Study Exploring Usage, Preferences, Barriers and eHealth Literacy. JMIR mHealth and uHealth. 2020.[2]https://rheumatic.elsa.science/en/Acknowledgements:This project has received funding from EIT Health. EIT Health is supported by the European Institute of Innovation and Technology (EIT), a body of the European Union that receives support from the European Union’s Horizon 2020 Research and Innovation program.This project has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 777357, RTCure.Disclosure of Interests:Rachel Knevel: None declared, Johannes Knitza: None declared, Aase Hensvold: None declared, Alexandra Circiumaru: None declared, Tor Bruce Employee of: Ocean Observations, Sebastian Evans Employee of: Elsa Science, Tjardo Maarseveen: None declared, Marc Maurits: None declared, Liesbeth Beaart- van de Voorde: None declared, David Simon: None declared, Arnd Kleyer: None declared, Martina Johannesson: None declared, Georg Schett: None declared, Thomas Huizinga: None declared, Sofia Svanteson Employee of: Elsa Science, Alexandra Lindfors Employee of: Ocean Observations, Lars Klareskog: None declared, Anca Catrina: None declared

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Office work and stretch training (OST) study: effects on the prevalence of musculoskeletal diseases and gender differences: a non-randomised control study

BMJ Open ◽

10.1136/bmjopen-2020-044453 ◽

2021 ◽

Vol 11 (5) ◽

pp. e044453

Author(s):

Fabian Holzgreve ◽

Laura Fraeulin ◽

Jasmin Haenel ◽

Helmut Schmidt ◽

Andreas Bader ◽

...

Keyword(s):

Musculoskeletal Diseases ◽

Workplace Health Promotion ◽

Intervention Group ◽

Subjective Health ◽

Office Workers ◽

Secondary Outcome ◽

Full Time ◽

Office Work ◽

Musculoskeletal Complaints ◽

Control Study

ObjectivesFor the prevention of musculoskeletal diseases (MSDs), stretch training can be a measure of the workplace health promotion (WHP) for office workers. This can lead to an increase in mobility and, ultimately, reduce or prevent MSD. The aim of the study was to examine a standardised and individualised stretch training on a device, specifically ‘five Business’, for the prevalence of MSD.DesignThis study is a non-randomised control study.SettingWHP programme with clerical employees of a German car manufacturer.Participants252 (110 women; 142 men) subjects (median age of 44 (X∼ 21 years) finished the study successfully. Inclusion criteria included a full-time employment in the office workplace and subjective health.InterventionThe intervention group completed 22–24 training units of 10 min each on the ‘five-Business’ device two times a week for 12 weeks.Primary and secondary outcome measuresData were collected in the form of a pre–post study Nordic Questionnaire.ResultsAfter the intervention, significantly fewer subjects reported pain in the area of the neck (−17.79), shoulder (−11.28%), upper back (−14.7%), lower back (−12.78%) and feet (−8.51%). The gender analysis revealed that women are, in general, more often affected by musculoskeletal complaints than men, especially in the neck (+29.5%) and feet (+15.03%). Both sexes had significant reductions of MSD in the most commonly affected regions. Thus, 27.12% less women reported having neck pain, while 13.14% less men reported having low back pain.ConclusionsThe results suggest that a stretching programme performed for 3 months can reduce musculoskeletal complaints in the most commonly affected areas in office workers. Both men and women benefited from the stretch training to a similar extent, suggesting that this would be a promising measure for therapy and prevention as part of WHP.

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Advances in the diagnosis and the management of primary hyperparathyroidism

Therapeutic Advances in Chronic Disease ◽

10.1177/20406223211015965 ◽

2021 ◽

Vol 12 ◽

pp. 204062232110159

Author(s):

Ana Kashfia Islam

Keyword(s):

Renal Function ◽

Parathyroid Hormone ◽

Bone Loss ◽

Primary Hyperparathyroidism ◽

Kidney Stones ◽

Parathyroid Glands ◽

Definitive Treatment ◽

Indications For Surgery ◽

Musculoskeletal Complaints ◽

Parathyroid Cancer

The parathyroid glands, one of the last organs to be discovered, are responsible for maintaining calcium homeostasis, and they continue to present the clinician with diagnostic and management challenges that are reviewed herein. Primary hyperparathyroidism (PHPT) comprises the vast majority of pathology of the parathyroid glands. The classic variant, presenting with elevated calcium and parathyroid hormone levels, has been studied extensively, but the current body of literature has added to our understanding of normocalcemic and normohormonal variants of PHPT, as well as syndromic forms of PHPT. All variants can lead to bone loss, kidney stones, declining renal function, and a variety of neurocognitive, gastrointestinal, and musculoskeletal complaints, although the majority of PHPT today is asymptomatic. Surgery remains the definitive treatment for PHPT, and advances in screening, evolving indications for surgery, new imaging modalities, and improvements in intra-operative methods have greatly changed the landscape. Surgery continues to produce excellent results in the hands of an experienced parathyroid surgeon. For those patients who are not candidates for surgery, therapeutic advances in medical management allow for improved control of the hypercalcemic state. Parathyroid cancer is extremely rare; the diagnosis is often made intra-operatively or on final pathology, and recurrence is common. The mainstay of treatment is normalization of serum calcium via surgery and medical adjuncts.

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Implications of Lifestyle and Occupational Factors on the Risk of Breast Cancer in Shiftwork Nurses

Healthcare ◽

10.3390/healthcare9060649 ◽

2021 ◽

Vol 9 (6) ◽

pp. 649

Author(s):

Javier Fagundo-Rivera ◽

Regina Allande-Cussó ◽

Mónica Ortega-Moreno ◽

Juan Jesús García-Iglesias ◽

Adolfo Romero ◽

...

Keyword(s):

Breast Cancer ◽

Shift Work ◽

Regression Tree ◽

Night Work ◽

Circadian Disruption ◽

Classification And Regression Tree ◽

Baseline Risk ◽

Unhealthy Lifestyle ◽

Cross Sectional ◽

Occupational Factors

Shift work that involves circadian disruption has been highlighted as a likely carcinogenic factor for breast cancer in humans. Also, unhealthy lifestyle habits observed in night work nurses could be causally related to an increase in the incidence of estrogen-positive breast tumours in this population. Assessing baseline risk of breast cancer in nurses is essential. The objective of this study was to analyze the risk of breast cancer that nurses had in relation to their lifestyle and labour factors related to shift work. A cross-sectional descriptive study through a questionnaire about sociodemographic variables, self-perception of health, and working life was designed. The sample consisted of 966 nurses. The relationship between variables was tested. A binary logistic regression and a classification and regression tree were performed. The most significant labour variables in relation to the risk of breast cancer were the number of years worked (more than 16 years; p < 0.01; OR = 8.733, 95% CI = 2.811, 27.134) and the total years performing more than 3 nights per month (10 or more years; p < 0.05; OR = 2.294, 95% CI = 1.008, 5.220). Also, the nights worked throughout life (over 500; OR = 4.190, 95% CI = 2.118, 8.287) were significant in the analysis. Nurses who had or ever had breast cancer valued their self-perceived health more negatively (p < 0.001) and referred a lower quality of sleep (p < 0.001) than the non-cases nurses. The occupational factors derived from night work could have several impacts on nurses’ health and their family-work balance. Promoting healthy lifestyles, informing about shift work risks, and adjusting shift work schedules are critical methods to decrease the possible effects of circadian disruption in nurses.

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