Evidence map›Paper›PMID 22003301›Full record

ArticleJournal of pain research2011

Poor sitting posture and a heavy schoolbag as contributors to musculoskeletal pain in children: an ergonomic school education intervention program.

Ai Syazwan, Mn Mohamad Azhar, Ar Anita, Hs Azizan, Ms Shaharuddin, J Muhamad Hanafiah, Aa Muhaimin, Am Nizar, B Mohd Rafee, A Mohd Ibthisham and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of pain research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
5.5field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 71 citations in OpenAlex.

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  12. Intervention Study for Reducing Schoolbag Weights in Two Rural Schools in Maharashtra.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2018
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 2 countries.

Ai SyazwanEnvironmental and Occupational Medicine Unit, Department of Community Health, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.
Mn Mohamad Azhar
Ar Anita
Hs Azizan
Ms Shaharuddin
J Muhamad Hanafiah
Aa Muhaimin
Am Nizar
B Mohd Rafee
A Mohd Ibthisham
Adam Kasani
Universiti Putra Malaysia · MYNational Institutes of Biotechnology Malaysia · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe purpose of this study was to evaluate a multidisciplinary, interventional, ergonomic education program designed to reduce the risk of musculoskeletal problems by reducing schoolbag weight and correcting poor sitting posture.

methodsData were collected twice before and twice following intervention using the Standardized Nordic Body Map Questionnaire, a rapid upper limb assessment for posture evaluation, and schoolbag weight measurement in children aged 8 and 11 years attending two schools within the central region of Malaysia.

resultsStudents who received the ergonomic intervention reported significant improvements in their sitting posture in a classroom environment and reduction of schoolbag weight as compared with the controls.

conclusionA single-session, early intervention, group ergonomics education program for children aged 8 and 11 years is appropriate and effective, and should be considered as a strategy to reduce musculoskeletal pain among schoolchildren in this age group.

Indexed as

assessmentawarenesseducationergonomicinterventionmusculoskeletal painschool children

Identifiers

PMID22003301
PMCPMC3191927
OpenAlexW2045494115

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.