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Communication with superiors and colleagues and other occupational stressors. Correlations with work ability, self-efficacy and health in employees from primary and secondary education

International Symposium on Work Ability, Helsinki 2004 (pp. 1-25). 9. Tuomi K, Ilmarinen J, Jahkola A, Katajarinne L, Tulkki A. Work ability index. Helsinki: Institute of Occupational Health; 1994. 10. 36-Item Short Form Survey (SF-36). Avalaible at: https://www.rand.org/health/surveys_tools/mos/36-item-short-form.html (downloaded on 22.07.2019). 11. The SF-36 scoring. Avalaible at: http://www.alswh.org.au/images/content/pdf/InfoData/Data_Dictionary_Supplement/DDSSection2SF36.pdf (downloaded on 22.07.2019).

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The “ECG modifications induced by the disturbance of the circadian rhythm in night-shift workers (ECGNoct)” study protocol

, O’Brien CS, Ng KT, Rajaratnam SM. Validation of a questionnaire to screen for shift work disorder. Sleep.2012;35:1693–1703. 19. European Society of Cradiology.Score risk charts. https://www.escardio.org/Education/Practice-Tools/CVD-prevention-toolbox/SCORE-Risk-Charts,pdf dowloaded 10.02.2019. 20. Prineas R, Crow R, Blackburn H. The Minnesota Code Manual of Electrocardiographic Findings. 2nd edition, London: Springer-Verlag; 2010. 21. Sagie A, Larson MG, Goldberg RJ, Bengtson JR, Levy D. An improved method for adjusting the QT interval for

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Stress vulnerability assessment among medical and political science and public administration students

Abstract

Context. Stress is a complex psychosocial phenomenon that significantly influences health. The individual differences in stress response depend on sensitivity to stressors, named “stress vulnerability”.

Objectives. The aims of the study were to determine the level of perceived vulnerability to stress and compare stress vulnerability among students from 2 universities in Bucharest: University of Medicine “Carol Davila” and National University of Political Studies and Public Administration.

Methods. An approximately equal number of students from the two selected universities completed the Romanian version of the Miller-Smith stress vulnerability questionnaire.

Results. A number of 86 (60 women and 26 men) students agreed to participate. Average age was 23.56 years with a standard deviation of 4.86 years. The high vulnerability group included 18 (38%) medical students and 27 (60%) political science and public administration students. The difference was statistically significant (chi2 test, p=0.02) between the two groups. The average health score for medical students (MS) was 15.97, with a median of 15, while for the political science and administration students (PSPAS) the average health score was 24.91, with a median of 26. The average psychosocial score for MS group was 20.41 and the median was 20. In the PSAPS group, the psychosocial score was 26.14 and the median 24. The difference was statistically significant for both health score (p<0.00001) and psychosocial score (p=0.0006).

Conclusions: Stress is a common problem among undergraduated students. In this study the vulnerability to stress was higher for students PSAPS group compared to the students from MS group.

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Efficacy of physical exercise program in patients with work-related knee osteoarthritis

Abstract

Quality of life studies in patients with knee osteoarthritis (OA) attest to the significant impact of the disease on day-to-day activities and social interactions. The aim of this study was to assess the efficacy of a physical exercise program on functional status and quality of life in patients with work-related knee osteoarthritis. The present study included 144 participants with knee osteoarthritis, 72% women, mean age (SD) 47.2 (11.1) years. The patients were randomly assigned in two lots based on the type of kinetic treatment: lot A-with knee OA and medication (72 patients) and lot B- with knee OA, medication and exercise program (72 patients). They followed for 12 days ambulatory exercise programs based on increasing knee flexion, muscular strength and endurance, improving balance, coordination, and respiratory exercises. The patients in the control group continued their daily living activities. The evaluation was made at the beginning of the study (T0), after 2 weeks (T1) and 8 weeks after the 12 days of exercise program (T2) and was based on the following parameters: knee mobility (knee flexion), muscular strength, pain assessment on a Visual Analogue Scale (VAS), functional status (Western Ontario &McMaster Universities Osteoarthritis Index - WOMAC) and quality of life evaluation using SF-36 Questionnaire (36-Item Short Form Survey). Out of 144 participants who completed the initial evaluation, 138 also completed the 2 weeks and the 8 weeks follow-up assessments: 70 patients from the control lot and 68 patients from the exercise lot. The benefits of the kinetic programs were shown by a significant improvement in knee mobility and muscular strength for knee extensors (quadriceps muscle) and knee flexor muscles. Testing the linear correlations between the SF-36 score and the VAS (r=0.71, p<0.05) and WOMAC (r=0.83, p<0.05) indicators demonstrates a highly positive relationship between the quality of life expression, the pain assessment score and the functional status score in patients with knee OA. The physical exercise program improves both functional status and quality of life in patients with work-related knee osteoarthritis by increasing the range of motion and muscular strength and by reducing pain.

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Obstructive sleep apnea: from the beginnings, to the risk factors and to occupational medicine assessment

.Dancey DR, Hanly PJ, Soong C. Gender differences in sleep apnea: the role of neck circumference. Chest 2003;123:1544–50. 41.Kohler M, Bloch KE, Stradling JR. The role of the nose in the pathogenesis of obstructive sleep apnoea and snoring. Eur Respir J 2007;30:1208-15. 42.Nuckton TJ, Glidden DV, Browner WS. Physical examination: Mallampati score as an independent predictor of obstructive sleep apnea. Sleep 2006;29:903-8. 43.Gaudette E, Kimoff RJ. Pathophysiology of OSA. Eur Respir Monogr 2010;50:31-50. 44.Redline S, Tishler PV. The genetics of

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