Evidence map›Paper›PMID 37309885›Full record

ArticleLa Medicina del lavoro2023

The Impact of Lower Extremity Fatigue on Lower Quadrant Dysfunction and Health Profile in Hairdressers.

Tuba İnce Parpucu, Sabriye Ercan, Zeliha Başkurt, Ferdi Başkurt

Open access · diamondAbstract read
In one paragraph

Article in La Medicina del lavoro, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 2 institutions in 2 countries.

Tuba İnce ParpucuSuleyman Demirel University. fzttubaince@gmail.com.
Sabriye ErcanSuleyman Demirel University . sabriyeercan@gmail.com.
Zeliha Başkurt. zelihatulum@gmail.com.
Ferdi BaşkurtSuleyman Demirel University . ferdibaskurt77@gmail.com.
Suleyman Demirel University · KZZhejiang Environmental Monitoring Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFatigue is also an important occupational condition for hairdressers.

objectiveThe purpose of this study was to determine the lower extremity fatigue and related factors in hairdressers.

methodsLower Extremity Fatigue was assessed with 2 questions containing a 5-point Likert scale. Numerical fatigue rating scale was used to assess general fatigue level, visual analogue scale was used to assess occupational satisfaction, Nottingham Health Profile (NHP) was used to assess health profile, and Cornell Musculoskeletal Discomfort Questionnaire (CMDQ) was used to assess lower quadrant pain profile.

resultsIn the assessment of lower extremity pain, statistically significant difference was found between Fatigue and Non-fatigue groups in waist (p:0.018), right knee (p:0.020), left knee (p:0.019) and right lower leg (p:0.023) parameters. In the lower extremity Weighted Scores, there were significant differences between the fatigue and non-fatigue groups in waist (p:0.0001), right upper leg (p:0.018), left upper leg (p:0.009), right knee (p:0.0001) left knee (p:0.0001), right lower leg (p:0.001) and left lower leg (p:0.002). The difference in the Energy, Pain and Physical Mobility sub-dimensions of the Nottingham Health Profile of the hairdressers in 'Fatigue Group' was at a significant level.

conclusionsIn conclusion, the rate of lower extremity fatigue found in hairdressers in the present study was quite high and lower extremity fatigue was associated with lower extremity pain and health profile.

Indexed as

Lower ExtremityOccupational DiseasesFatigueHumansPain

Identifiers

PMID37309885
PMCPMC10281072
OpenAlexW4380422952

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.