ABSTRACT Background: work-related musculoskeletal disorders represent an important occupational health issues among dentists especially neck and low back complaints. Biomarkers of tissue damage as results of occupational physical demands could be used for detection of work related musculoskeletal disorders. Aim: The aim of this study was to assess work- related musculoskeletal disorders, physical work load index, selected salivary biomarkers (Creatine kinase and C - reactive protein) and to find the relation among them. Subjects and Methods: Study participants are consisted of 112 dentists. They were selected from college of dentistry /Baghdad University, health care center in Bagdad city. They were of both gender and aged between 40-45 years .they should fit the study criteria. Self-administered standardized Nordic questionnaires were used to evaluate musculoskeletal complaints. Physical work load was evaluated by used physical work load index. Stimulated saliva were collected from subsample (87) dentists drawn randomly from the total sample, for whom biochemical analysis (measurement of creatine kinase and C - reactive protein) were done. Results: Results showed that low back and neck complaints is the most complaint experienced by the dentists with percentages of ( 69.6% and 66.1% ), followed by the shoulder complaint (49.1% ) while the hip complaint showed the lowest percentage (13.4%).According to severity scores ,both low back and neck musculoskeletal complaints were of score 3 severity (score 3 constituted the highest percentages in both area (27.7% ,23.2%respectively) as compared to other severity scors.For shoulder complaint it was of score 2 severity (score 2 constituted the highest percentage 23.2% as compared to other severity scores, The musculoskeletal complaints(proximal ,neck, shoulder and low back) had higher mean rank values in the highest quartile of Physical work load index with non – significant differences (P<0.05). Regarding salivary creatine kinase the proximal ,total and low back complaints had higher mean rank values among dentists with highest Creatine kinase quartile , while distal manifestations ,neck and shoulder complaints had higher mean rank value in the average interquartile range of Creatine kinase with non – significant differences( P<0.05). For c- reactive protein almost all the complaints(proximal , total ,neck and shoulder) had higher mean rank values in the first lowest quartile with non – significant differences( P<0.05). Conclusions: Physical work load increase the risk of musculoskeletal disorders occurrence. Salivary creatine kinase could serve as a biomarker that reflects the underlying of musculoskeletal complaints more than C - reactive protein. Further studies that used more objective tools for assessing musculoskeletal disorders is needed.
The current research aims to identify the most important green productivity tools GPT and the possibility of applied in industrial companies in general and the companies operating in the province of Nineveh, in particular, as well as the study of some personality characteristics and functional, which is believed to be an impact on the application of these tools in industrial companies. Accordingly, the research community of managers in the company of medicines and medical supplies ready-made clothes _ operating in the province of Nineveh, who are (80) while the manager was subjected to research procedures (49) Director representing (61.25%)
... Show Moreهدفت الدراسة الى التعرف على درجة اتخاذ القرار وعلاقتها ببعض المهارات الأساسية الهجومية بكرة السلة للطالبات ، اذ يعد اتخاذ القرار قدرة الفرد على التوصل لحل مشكلة اعتراضية أو موقف محير، وذلك باختيار حل من البدائل الموجودة أو المبتكرة، وهذا الاختيار يعتمد على المعلومات التي جمعها الفرد حول المشكلة وعلى القيم والعادات والخبرة والتعليم والمهارات الفردية وتمتاز لعبة كرة السلة بوجود الكثير من المواقف المتغ
... Show MoreA field study was conducted in Al-Khalis district, Diyala Governorate in 2019 to test the sensitivity of three varieties of pepper to the population density of the whitefly B. tabaci, Anaheim pepper, Aleppo and local variety, and the results showed that the Anaheim variety was the most infested with the whitefly density 4.08 whitefly/ leaf and then the local variety 2.7 whitefly/ leaf. The lowest population density was 1.25 whitefly/ leaf of Aleppo variety. Variety Aleppo also recorded the lowest percentage of whitefly infection B. tabaci of 39.22%, but not have significant differences in the percentage of whitefly infestation, as it reached 53.64% and 54.85% for the Anaheim and local varieties, respectively. The resistance of variety Alepp
... Show MoreTwo locally isolated microalgae (Chlorella vulgaris Bejerinck and Nitzschia palea (Kützing) W. Smith) were used in the current study to test their ability to production biodiesel through stimulated in different nitrogen concentration treatments (0, 2, 4, 8 gl ), and effect of nitrogen concentration on the quantity of primary product (carbohydrate, protein ), also the quantity and quality of lipid. The results revealed that starvation of nitrogen led to high lipid yielding, in C. vulgaris and N. palea the lipid content increased from 6.6% to 40% and 40% to 60% of dry weight (DW) respectively.Also in C. vulgaris, the highest carbohydrate was 23% of DW from zero nitrate medium and the highest protein was 50% of DW in the treatment 8gl. Whil
... Show MoreAW Ali T, Journal of the Faculty of Medicine, 2015 - Cited by 3
This paper proposes two hybrid feature subset selection approaches based on the combination (union or intersection) of both supervised and unsupervised filter approaches before using a wrapper, aiming to obtain low-dimensional features with high accuracy and interpretability and low time consumption. Experiments with the proposed hybrid approaches have been conducted on seven high-dimensional feature datasets. The classifiers adopted are support vector machine (SVM), linear discriminant analysis (LDA), and K-nearest neighbour (KNN). Experimental results have demonstrated the advantages and usefulness of the proposed methods in feature subset selection in high-dimensional space in terms of the number of selected features and time spe
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