Evidence map›Paper›PMID 30026592›Full record

ArticleInternational journal of obesity (2005)2018

How body composition influences hearing status by mid-childhood and mid-life: The Longitudinal Study of Australian Children.

Jing Wang, Valerie Sung, Kate Lycett, Peter Carew, Richard S Liu, Anneke Grobler, Stephen R Zubrick, Tim Olds, Melissa Wake

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In one paragraph

Article in International journal of obesity (2005), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Polygenic Risk Scores and Hearing Loss Phenotypes in Children.JAMA otolaryngology-- head & neck surgery · 2024
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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

9 authors at 3 institutions in 1 country.

Jing WangMurdoch Children's Research Institute, Parkville, VIC, Australia.
Valerie SungMurdoch Children's Research Institute, Parkville, VIC, Australia.
Kate LycettMurdoch Children's Research Institute, Parkville, VIC, Australia.
Peter CarewMurdoch Children's Research Institute, Parkville, VIC, Australia.
Richard S LiuMurdoch Children's Research Institute, Parkville, VIC, Australia.
Anneke GroblerMurdoch Children's Research Institute, Parkville, VIC, Australia.
Stephen R ZubrickTelethon Kids Institute, The University of Western Australia, West Perth, WA, Australia.
Tim OldsMurdoch Children's Research Institute, Parkville, VIC, Australia.
Melissa WakeMurdoch Children's Research Institute, Parkville, VIC, Australia. melissa.wake@mcri.edu.au.
Murdoch Children's Research Institute · AUUniversity of Melbourne · AUThe Kids Research Institute Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHearing loss is a disabling condition whose prevalence rises with age. Obesity-a risk factor common to many non-communicable diseases-now appears to be implicated. We aimed to determine: (1) cross-sectional associations of body composition measures with hearing in mid-childhood and mid-life and (2) its longitudinal associations with 10-year body mass index (BMI) trajectories.

methodsDesign & Participants: There were 1481 11-12-year-old children and 1266 mothers in the population-based cross-sectional CheckPoint study nested within the Longitudinal Study of Australian Children (LSAC). Anthropometry (CheckPoint): BMI, fat/fat-free mass indices, waist-to-height ratio; LSAC wave 2-6-biennial measured BMI. Audiometry (CheckPoint): Mean hearing threshold across 1, 2 and 4 kHz; hearing loss (threshold > 15 dB HL, better ear). ANALYSIS: Latent class models identifying BMI trajectories; linear/logistic regression quantifying associations of body composition/trajectories with hearing threshold/loss.

resultsMeasures of adiposity, but not fat-free mass, were cross-sectionally associated with hearing. Fat mass index predicted the hearing threshold and loss in children (β 0.6, 95% confidence interval (CI) 0.3-0.8, P < 0.001;, odds ratio (OR) 1.2, 95% CI 1.0-1.4, P = 0.05) and mothers (β 0.8, 95% CI 0.5-1.2, P < 0.001; OR 1.2, 95% CI 1.1-1.4, P = 0.003). Concurrent obesity (OR 1.5, 95% CI 1.1-2.1, P = 0.02) and waist-to-height ratio (WHtR) ≥ 0.6 (OR 1.6, 95% CI 1.2-2.3, P = 0.01) predicted maternal hearing, with similar but attenuated patterns in children. In longitudinal analyses, mothers', but not children's, BMI trajectories predicted hearing (OR for severely obese 3.0, 95% CI 1.4-6.6, P = 0.01).

conclusionsConcurrent adiposity and decade-long BMI trajectories showed small, but clear, associations with poor hearing in mid-life women, with emergent patterns by mid-childhood. This suggests that obesity may play a role in the rising global burden of hearing loss. Replication and mechanistic and body compositional studies could elucidate possible causal relationships.

Indexed as

MothersAdiposityAdultAustraliaBody CompositionBody Mass IndexChildCross-Sectional StudiesFemaleHearing LossHumansLongitudinal StudiesMalePediatric ObesityPrevalenceRisk Factors

Identifiers

PMID30026592
OpenAlexW2883519855

What OpenQuestion holds

Textmetadata
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.