El dolor de espalda en docentes no universitarios
Bibliographic record
Abstract
espanolEl dolor de espalda es uno de los males de salud mas comunes en la sociedad actual. Esta presente en todas las edades, sexo y profesiones. Asi, este estudio tiene como objetivo analizar la prevalencia de esta patologia en docentes no universitarios. Se trata de un estudio descriptivo en una muestra aleatoria estratificada de docentes de primaria y secundaria (30). Se utilizan principalmente el cuestionario validado de Oswestry, la Escala de Quebec y la Escala Visual Analogica. Se analizaron los porcentajes, las medias y la desviacion tipica mediante el programa SPSS v.18. Presentaron dolor el 87% de los cuales el 13% es un dolor muy intenso. En la Escala de Quebec el 67,67% obtiene menos de 20 puntos sobre 100 y segun el cuestionario de Quebec un 83,33% presenta una incapacidad leve. La prevalencia del dolor de espalda en los docentes es alta, por lo tanto, hay que incidir en este sector de la poblacion para que transmitan conocimientos correctos de higiene postural a su alumnado desde el ejemplo y la palabra. EnglishBack pain is the most common health ill in the society. It is presents in all ages, sex an professions. Thus, this article has like objective to analyze the prevalence of this disease in teacher’s no-university. This is a descriptive study with a stratified random sample of primary teachers and secondary (30). We used validated questionnaire Oswestry, Quebec Scale and the Visual Analogue Scale. We analyzed percentages, averages and standard deviation by SPSS v.18 program. We found pain in the 87% where the 13% had a very intense pain. In Quebec Scale the 67.67% got less than 20 point of 100 and according the Quebec Questionnaire the 83.33% presented mild disability. Back pain prevalence is high in teachers; therefore, we must work with them to transmit correct postural hygiene knowledge to theirs students by the example and the words.
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How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.004 |
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; both teacher heads agree on what is shown here.
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".