ArticleFrontiers in public health2026
Longitudinal associations of occupational cumulative noise exposure duration and hearing loss with lipid profiles: a 9-year cohort study.
Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Occupational noise exposure causes auditory damage and is also closely associated with systemic metabolic abnormalities. The impact of long-term noise exposure on longitudinal lipid changes remains unclear. Objective: This longitudinal study examined the association of baseline cumulative noise exposure duration with serum triglycerides (TG) and total cholesterol (TC) in male workers, and further examined whether binaural high-frequency average hearing threshold (BHFTA), an objective marker of noise-induced cochlear damage, modified longitudinal lipid trends. Methods: In this retrospective longitudinal cohort study, 431 male workers were followed for 9 years. Occupational noise exposure was defined according to the Chinese national standard GBZ/T 224-2010 as exposure to an 8-hour equivalent continuous A-weighted sound level of at least 80 dB(A) (Lex, 8h), and was operationalized as the cumulative duration of employment in noise-exposed positions ascertained from plant administrative records. Linear mixed-effects models were used to analyze the effects of follow-up time, baseline cumulative noise exposure duration (mean-centered, time-invariant), and their interaction on natural log-transformed TG and TC, adjusted for age, body mass index, lipid-lowering medication use, smoking, and alcohol consumption. Simple slopes were estimated at representative exposure durations (3, 10, and 20 years). Because individual biological noise dose could not be directly measured, BHFTA was used as an objective marker of accumulated biological dose and individual susceptibility in sensitivity analyses, with simple slopes estimated at BHFTA values of mean ± 1 standard deviation (SD). Results: Baseline cumulative noise exposure duration was significantly and positively associated with serum TG levels, with each additional year of exposure corresponding to an approximately 2.0% higher TG level (β = 0.0203 per year on ln(TG), 95% CI: 0.0029-0.0377, Conclusions: Baseline cumulative noise exposure duration was associated with elevated TG levels, and the attenuated rate of lipid increase over time may partly reflect a healthy worker survivor effect. In contrast, BHFTA may be more sensitive than administrative exposure records in revealing the metabolic consequences of chronic noise exposure. Hearing conservation and metabolic monitoring should be integrated into occupational health surveillance.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.