On-body ergonomic lifting aid: It's effectiveness, safety and user acceptability
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
T purpose of this presentation is to summarize 14 research studies involving an on-body ergonomic aid called the Personal Lift-Assist Device (PLAD). Three major questions asked were: 1) Is PLAD effective? 2) Is PLAD safe? 3) Is PLAD user-friendly? Data were collected using several different measurement tools: Liberty® electromagnetic sensors, Delsys® and Bortec® electromyography, Optotrak® position sensors, AEI Moxus® metabolic cart and subjective questionnaires. Measures of effectiveness revealed a 13.2-19.4% (p<0.05) reduction in back moments under the PLAD condition and 17-27% (p<0.05) in lumbar and thoracic EMG. During a fatiguing test, erector spinae EMG amplitudes were reduced by ~70% (p<0.001) over the No-PLAD condition. Measures of safety demonstrated that the PLAD altered the lifting technique so that lifts had less lumbar spine flexion and greater hip rotation (p<0.05). In addition, there was increased lumbar spine-hip coordination (p<0.05) and greater dynamic stability (p<0.05). In terms of user-acceptability, 83% of workers stated that they believed PLAD was effective and 67% said they would wear it for specific jobs. When energy consumption demands were evaluated, there was no significant difference between the PLAD and No-PLAD conditions indicating that the same amount of work was being done by specific leg muscles rather than the back. In conclusion, the PLAD is effective at reducing numerous risk factors and safety-related factors that are predispose workers to low back pain. It is also inexpensive, durable and suitable to many manual handling tasks including specific tasks in farming, construction, warehouse distribution, and assembly work.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it