ORCID Profile
0000-0002-8847-2779
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Publisher: Elsevier BV
Date: 2008
DOI: 10.1016/S0004-9514(08)70026-6
Abstract: Are use and perceived load of school bags and the prevalence of spinal pain different between male and female adolescents? Is use of school bags related to perceived load of school bags? Are use and perceived load of school bags related to spinal pain? Cross-sectional observational study. 1202 adolescents recruited from the 'Raine' Cohort Study. Use and perceived load of school bags as well as spinal pain were measured by questionnaire. The prevalence of back and neck pain was approximately 50% 53% of females reported neck pain compared with 44% of males (p < 0.01). Almost half of participants carried their school bag for more than 30 minutes per day with 85% carrying their bag over both shoulders. School bags were felt to be heavy by 54% and to cause fatigue by 51%. Carrying a school bag for more than 30 minutes daily and taking an inactive form of transport to school (car or bus) increased the odds of having both back (OR 1.40, 95% CI 1.08 to 1.82) and neck pain (OR 1.47, 95% CI 1.13 to 1.91). Neck pain is as common as back pain amongst adolescents. Perceived school bag load, duration of carriage and method of transport to school are associated with back and neck pain. Physical activity in the form of walking or riding to school may offset the potentially provocative effects of prolonged bag carriage and warrants further investigation.
Publisher: Springer Science and Business Media LLC
Date: 20-04-2023
Publisher: Elsevier BV
Date: 11-2008
DOI: 10.1016/J.IJNURSTU.2008.03.001
Abstract: Nurses are known to be a high risk group for occupational low back pain (LBP). The periods of greatest risk for developing low back pain in this population are not well defined. Recent literature suggests current preventative strategies are not consistently effective in improving low back injury statistics among health care populations. To identify the relative contributions of age and occupational exposure on the prevalence, duration and severity of low back pain episodes among undergraduate nursing students and recently graduated nurses. Cross-sectional survey. Two university undergraduate nursing schools and one public teaching hospital graduate nurse training program in Western Australia. 897 undergraduate nursing students (years 1, 2 and 3) and 111 graduate nurses recruited by personal invitation during lectures. Using a modified version of the Nordic Low Back Questionnaire, information regarding low back pain episode prevalence, impact, duration, frequency and causes was obtained. Mean age was consistent across all groups (26.7+/-9.0 years) and had no significant effect on lifetime low back pain prevalence (p=0.30). Very high lifetime (79%), 12 month (71%) and 7 day (31%) low back pain prevalence rates were consistent across all 3 year groups of undergraduate nursing students, but were significantly higher after 12 months of full-time employment [lifetime (95.5%), 12 month (90%) and 7 day (39%)]. Around 60% of all respondents with low back pain utilised at least one of (a) treatment, (b) medication, or (c) a reduction in activity. Nursing students and graduate nurses attributed the majority of their low back pain to bending or lifting despite recent efforts to reduce manual workplace demands (lifting) on nurses. Strategies for managing low back pain differed between nursing students and graduate nurses. These results may suggest a rise in occupational exposure from student to working nurse is the primary cause of the increase in low back pain. Increased exposure may be to physical as well as psychological stressors. Given that prevalence rates are very high prior to commencing work, nursing student populations should be a target group for low back pain preventative strategies.
Publisher: Journal of Spatial Information Science
Date: 21-12-2020
Publisher: The University of Auckland
Date: 2019
Publisher: Informa UK Limited
Date: 09-2008
Publisher: Elsevier BV
Date: 12-2021
Publisher: Copernicus GmbH
Date: 27-09-2017
DOI: 10.5194/ISPRS-ARCHIVES-XLII-4-W4-447-2017
Abstract: Abstract. Traffic big data has brought many opportunities for traffic management applications. However several challenges like heterogeneity, storage, management, processing and analysis of traffic big data may hinder their efficient and real-time applications. All these challenges call for well-adapted distributed framework for smart traffic management that can efficiently handle big traffic data integration, indexing, query processing, mining and analysis. In this paper, we present a novel, distributed, scalable and efficient framework for traffic management applications. The proposed cloud computing based framework can answer technical challenges for efficient and real-time storage, management, process and analyse of traffic big data. For evaluation of the framework, we have used OpenStreetMap (OSM) real trajectories and road network on a distributed environment. Our evaluation results indicate that speed of data importing to this framework exceeds 8000 records per second when the size of datasets is near to 5 million. We also evaluate performance of data retrieval in our proposed framework. The data retrieval speed exceeds 15000 records per second when the size of datasets is near to 5 million. We have also evaluated scalability and performance of our proposed framework using parallelisation of a critical pre-analysis in transportation applications. The results show that proposed framework achieves considerable performance and efficiency in traffic management applications.
Publisher: Informa UK Limited
Date: 2008
Publisher: Springer Science and Business Media LLC
Date: 18-11-2008
Location: Iran (Islamic Republic of)
No related grants have been discovered for Masoud Rahimi.