Evidence map›Paper›PMID 39865446›Full record

ArticleRespirology (Carlton, Vic.)2025

Lifetime Body Mass Index Trajectories and Contrasting Lung Function Abnormalities in Mid-Adulthood: Data From the Tasmanian Longitudinal Health Study.

Gulshan B Ali, Adrian J Lowe, E Haydn Walters, Jennifer L Perret, Bircan Erbas, Caroline J Lodge, Gayan Bowatte, Paul S Thomas, Garun S Hamilton, Bruce R Thompson and 5 more

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In one paragraph

Article in Respirology (Carlton, Vic.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

15 authors.

Gulshan B AliCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia.ORCID 0000-0002-7376-9561
Adrian J LoweCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia.
E Haydn WaltersCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia.
Jennifer L PerretCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia.ORCID 0000-0001-7034-0615
Bircan ErbasSchool of Psychology and Public Health, La Trobe University, Victoria, Australia.
Caroline J LodgeCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia.
Gayan BowatteCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia.
Paul S ThomasPrince of Wales Clinical School, Faculty of Medicine, UNSW, New South Wales, Australia.
Garun S HamiltonMonash Lung, Sleep, Allergy and Immunology, Monash Health, Victoria, Australia.ORCID 0000-0002-1744-2839
Bruce R ThompsonMelbourne School of Health Science, The University of Melbourne, Melbourne, Victoria, Australia.ORCID 0000-0002-5885-0652
David P JohnsCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia.ORCID 0000-0002-1575-6850
John L HopperCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia.
Michael J AbramsonSchool of Public Health & Preventive Medicine, Monash University, Melbourne, Victoria, Australia.ORCID 0000-0002-9954-0538
Dinh S BuiCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia.ORCID 0000-0002-4388-784X
Shyamali C DharmageCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia.ORCID 0000-0001-6063-1937

Funding

Australian Lung FoundationClifford Craig Medical Research Trust of TasmaniaGlaxoSmithKlineHelen Macpherson Smith TrustNational Health and Medical Research Council of Australia #1021275National Health and Medical Research Council of Australia #299901National Health and Medical Research Council of Australia #454425National Health and Medical Research Council of Australia #566931National Health and Medical Research Council of Australia #628513NHMRC European 1101313Tasmanian Asthma FoundationUniversity of Melbourne; Royal Hobart Hospital Research FoundationVictorian, Queensland and Tasmanian Asthma Foundations
6 · The paper itself

Abstract

BACKGROUND AND

objectiveThe impact of lifetime body mass index (BMI) trajectories on adult lung function abnormalities has not been investigated previously. We investigated associations of BMI trajectories from childhood to mid-adulthood with lung function deficits and COPD in mid-adulthood.

methodsFive BMI trajectories (n = 4194) from age 5 to 43 were identified in the Tasmanian Longitudinal Health Study. Lung function outcomes were defined using spirometry at 45 and 53 years. Associations between these BMI trajectories and lung function outcomes were investigated using multivariable regression.

resultsCompared to the average BMI trajectory, the child's average-increasing BMI trajectory was associated with greater FVC decline from 45 to 53 years (β = -178 mL; 95% CI -300.6, -55.4), lower FRC, ERV and higher TLco at 45 years, lower FVC (-227 mL; -345.3, -109.1) and higher TLco at 53 years. The High BMI trajectory was also associated with lower FRC, ERV and higher TLco at 45 years, while spirometric restriction (OR = 6.9; 2.3, 21.1) and higher TLco at 53 years. The low BMI trajectory was associated with an obstructive picture: lower FEV

conclusionOur findings revealed contrasting lung function abnormalities were associated with high, subsequently increasing, and low BMI trajectories. These results emphasise the importance of tracking changes in BMI over time and the need to maintain an average BMI trajectory (BMI-Z-score 0 at each time point) throughout life.

Indexed as

Body Mass IndexLungPulmonary Disease, Chronic ObstructiveAdolescentAdultChildChild, PreschoolFemaleForced Expiratory VolumeHumansLongitudinal StudiesMaleMiddle AgedRespiratory Function TestsSpirometryTasmaniabody mass index trajectoriesCOPDlifetime growth patternslifetime obesitylung function declineobesity trajectoriesobstructive‐lung functionpoor lung functionrestrictive‐lung function

Identifiers

PMID39865446
PMCPMC11872284

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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.