Evidence map›Paper›PMID 41379839›Full record

ArticlePloS one2025

Prevalence and determinants of work-related ocular symptoms among dentists of Bangladesh: A cross-sectional study.

Taslima Rafique, Fahima Nasrin Eva, Md Shah Fattehullah Bhuyan, Shourov Barua, Jyotie Malakar, Arpita Biswangree, Dilruba Alam Chowdhury, Tasin Afrose, Parikshit Dutta, Jannatun Nahar and 5 more

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Article in PloS one, 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

15 authors.

Taslima RafiqueDepartment of Public Health, North South University, Dhaka, Bangladesh.
Fahima Nasrin EvaDepartment of Public Health, North South University, Dhaka, Bangladesh.
Md Shah Fattehullah BhuyanSchool of Research, Chattogram, Bangladesh.ORCID https://orcid.org/0009-0006-1234-1613
Shourov BaruaSchool of Research, Chattogram, Bangladesh.ORCID https://orcid.org/0009-0005-8188-3435
Jyotie MalakarSchool of Research, Chattogram, Bangladesh.
Arpita BiswangreeSchool of Research, Chattogram, Bangladesh.ORCID https://orcid.org/0009-0009-5502-744X
Dilruba Alam ChowdhurySchool of Research, Chattogram, Bangladesh.
Tasin AfroseSchool of Research, Chattogram, Bangladesh.ORCID https://orcid.org/0009-0008-6969-4668
Parikshit DuttaSchool of Research, Chattogram, Bangladesh.
Jannatun NaharSchool of Research, Chattogram, Bangladesh.
Disha Mony DeySchool of Research, Chattogram, Bangladesh.
Sreshtha ChowdhuryDepartment of Public Health, North South University, Dhaka, Bangladesh.ORCID https://orcid.org/0000-0003-3482-8204
Mohammad Azmain IktidarDepartment of Public Health, North South University, Dhaka, Bangladesh.
Simanta RoyDepartment of Public Health, North South University, Dhaka, Bangladesh.
Mohammad Delwer Hossain HawladerDepartment of Public Health, North South University, Dhaka, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe present study aims to investigate the prevalence of work-related ocular symptoms and their associated factors among Bangladeshi dentists.

methodsThis cross-sectional study was conducted among 747 practicing dental surgeons working in government and private facilities across Bangladesh. Participants were recruited using snowball sampling, and an online semi-structured questionnaire was used for data collection. The study collected sociodemographic information, clinical practice details, and ocular symptoms-related information. Regarding ocular symptoms, the participants were asked to report the occurrence of common ocular symptoms (e.g., eye itching, eye pain, blurring) in the last month.

resultsThe study found a high prevalence of ocular symptoms among dentists, with the most common being eye itching (46.85%), blurring of vision (41.1%), and eye pain (40.7%). Female dentists were more likely to report ocular symptoms, with males having lower odds of eye pain (AOR: 0.53, 95% CI: 0.40-0.85) and itching (AOR: 0.58, 95% CI: 0.40-0.85). Smoking was a strong predictor of eye pain (AOR: 1.33, 95% CI: 1.19-3.11) and itching (AOR: 1.92, 95% CI: 1.19-3.11). Dentists working > 28 hours per week (AOR: 1.91, 95% CI: 1.07-3.44) and attending >5 patients/day (AOR: 1.51, 95% CI: 1.08-2.12) had higher odds of developing eye pain, while routine ocular checkups were associated with lower odds of eye pain (AOR: 0.62, 95% CI: 0.44-0.89).

conclusionOcular symptoms are highly prevalent among Bangladeshi dentists, emphasizing the need for regular eye checkups, ergonomic practices, and workload adjustments to mitigate occupational risk factors and protect visual health.

Indexed as

DentistsEye DiseasesEye PainOccupational DiseasesAdultBangladeshCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsSurveys and Questionnaires

Identifiers

PMID41379839
PMCPMC12697935

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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.