Evidence map›Paper›PMID 39618636›Full record

ArticleCureus2024

Prevalence of Noise-Induced Hearing Loss Among Construction Workers in Puducherry, India.

Anbukarasi Ramalingam, Prem Davis, Pournima Ganesan, Prabu Velayutham

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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.

Anbukarasi RamalingamOtorhinolaryngology, Head and Neck Surgery, Panimalar Medical College Hospital and Research Institute, Chennai, IND.
Prem DavisHealth Centre, Central University of Tamil Nadu, Thiruvarur, IND.
Pournima GanesanOtorhinolaryngology, Head and Neck Surgery, Army Medical Corps, Leh, IND.
Prabu VelayuthamOtorhinolaryngology, Head and Neck Surgery, Sri Venkateshwaraa Medical College Hospital and Research Centre, Puducherry, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Noise-induced hearing loss (NIHL) is one of the emerging health problems in today's world. NIHL results from multifactorial damage to auditory structures due to exposure to loud sounds from occupational, environmental, or recreational causes. The World Health Organisation (WHO) indicates that workplace NIHL is second to accidental harm for years of healthy life lost. It causes significant impairment in patients' daily activities and quality of life. Aim This study aimed to find the prevalence of NIHL among construction site workers in Puducherry, a southern state of India, and to find the association between the degree of hearing loss and various demographic factors. Methods This cross-sectional study was conducted among construction workers in a tertiary care center in Puducherry. The study was conducted for 18 months, from January 2021 to June 2022. After the initial assessment, all the workers were subjected to pure tone audiometry, and findings were recorded. Results A total of 500 construction site workers participated in the study. The prevalence of the NIHL was found to be 13.2%. The study also showed that the majority of the patients (6.6%) had a mild-degree hearing loss. The study also showed a significant association exist between age (p = 0.002), gender (p = 0.001), work experience (p < 0.001), and the number of hours of work per day (p < 0.001) with the degree of hearing loss. Conclusion The prevalence of NIHL is growing day by day, so proper preventive measures should be taken by enhancing knowledge of the disease, adopting protective tactics, and creating therapies to prevent the disease.

Indexed as

constructionhearing lossimpairmentnoiseworkers

Identifiers

PMID39618636
PMCPMC11608287

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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.