Awareness of Awkward Posture and Repetitive Motion as Ergonomic Factors Associated With Musculoskeletal Disorders by Health Promotion Professionals
Bibliographic record
Abstract
Musculoskeletal disorders –MSD, particularly on the muscles, tendons, ligaments, joints and cartilage decline the general physiological efficiency of the human body systems. The study aimed to ascertain the status of awareness of awkward posture and repetitive motion as ergonomic factors associated with MSD by health promotion professionals -HPP. The study adopted descriptive survey approach and was carried out in Enugu State of Nigeria, from August 2019 to February 2020. The participants were experts in health promotion through physical exercises. A well-structured questionnaire with reliability index of 0.86 was the only instrument used for data collection. The data analysis was completed using SPSS version 21. All the participants were Nigerians totaling 323 and responded to the questionnaire items completely and correctly. Majority of them were: females 196(60.7%) and rural dwellers 183(56.7%). The study revealed that the health promotion professionals were aware of awkward posture (M=3.22; SD=0.80) and repetitive motion (M=3.18; SD=0.79) as ergonomic factors associated with MSD. The status of awareness of the study phenomenon varied within variables of gender and location. A statistically significant difference was observed with regards to location (P-value <0.05) while none existed on gender (P-value >0.05). Although, the awareness status varied within variables, there is clear demonstration that the status of awareness regarding awkward posture and repetitive motion as ergonomic factors associated with MSD was encouraging. This translates the actual application of the rehabilitative and remedial measures in health promoting exercises involved in improving the quality of life and wellness. Indeed, there is need for routine workshops, seminars and conferences organized for these professionals on addressing ergonomic factors associated with MSD.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".