Evidence map›Paper›PMID 41573994›Full record

ArticleJournal of education and health promotion2025

Utilizing the Finnish method to assessment the dentist's adaptability to physical, environmental, cognitive, and macro-ergonomic features in dental practice: A health promotion approach.

Mohsen Poursadeghiyan, Lida Sheikhlouei, Parvin Ahmadinejad, Roghayeh Esmali, Nouredin Gharari, Somayeh Hekmatfar

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Article in Journal of education and health promotion, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Mohsen PoursadeghiyanSocial Determinants of Health Research Center, School of Health, Ardabil University of Medical Sciences, Ardabil, Iran.
Lida SheikhloueiStudents Research Committee, School of Dentistry, Ardabil University of Medical Sciences, Ardabil, Iran.
Parvin AhmadinejadDepartment of Occupational Health Engineering, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
Roghayeh EsmaliStudents Research Committee, Faculty of Health, Ardabil University of Medical Sciences, Ardabil, Iran.
Nouredin GharariDepartment of Occupational Health Engineering, School of Health, Ardabil University of Medical Sciences, Ardabil, Iran.
Somayeh HekmatfarDepartment of Pediatric Dentistry, School of Dentistry, Ardabil University of Medical Sciences, Ardabil, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDentistry, as a profession with the high stress and high precision in execution, is crucial in establishing optimal working conditions. Given the limited studies on ergonomics and physical risk factors in the dental work environment, this research aims to quantitatively assess clinical dentistry's physical, environmental, cognitive, and macro-ergonomic aspects, focusing on improving physical interactions with the environment. MATERIALS AND

methodsThis descriptive-analytical study was conducted from March to December 2024 in Ardabil Dental Clinics, Iran. A total of 196 dentists were randomly selected through simple random sampling. Data collection involved direct observation using the standard ergonomic quantification checklist based on the Finnish method and environmental measurements. The dentist's adaptation and acceptance of existing working conditions were also examined. Instruments used included a photometer to assess illumination (lux), a sound level meter to evaluate noise (decibels), and a WBGT thermometer to measure workplace temperature (Celsius). Data were statistically analyzed using Wilcoxon signed-rank tests and one-sample

resultsAmong the evaluated dental offices, 81.1% were general dentists, and 18.9% were specialists, with 89.3% working in private and 10.7% in public clinics. Analysts' evaluations showed significant differences compared to the dentists' self-assessments in indicators such as physical activity, lifting loads, and satisfaction with work components. Analysts assessed these aspects as being in poorer conditions than the dentists themselves reported. Additionally, a comparison of environmental indicators with optimal standards revealed that the average illumination (1547.59 lux) was higher, while temperature (20.61°C) and noise levels72.61 dB) were lower than the standard values (1500 lux, 24.5°C, and85dB) (

conclusionAlthough some environmental factors in dental offices deviate from optimal standards-such as increased illumination and reduced temperature and noise levels-overall dentist evaluations indicate relative satisfaction with ergonomic conditions. Therefore, improving and optimizing these factors is recommended to enhance dentists' comfort and efficiency.

Indexed as

Clinical dentistryergonomicsFinnish methodphysical risk factorsworkplace assessment

Identifiers

PMID41573994
PMCPMC12822903

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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.