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Childhood predictors of lung function trajectories and future COPD risk: a prospective cohort study from the first to the sixth decade of life

Overview of attention for article published in The Lancet Respiratory Medicine, April 2018
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  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#50 of 2,887)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
94 news outlets
blogs
2 blogs
twitter
178 X users
facebook
2 Facebook pages

Citations

dimensions_citation
405 Dimensions

Readers on

mendeley
287 Mendeley
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Title
Childhood predictors of lung function trajectories and future COPD risk: a prospective cohort study from the first to the sixth decade of life
Published in
The Lancet Respiratory Medicine, April 2018
DOI 10.1016/s2213-2600(18)30100-0
Pubmed ID
Authors

Dinh S Bui, Caroline J Lodge, John A Burgess, Adrian J Lowe, Jennifer Perret, Minh Q Bui, Gayan Bowatte, Lyle Gurrin, David P Johns, Bruce R Thompson, Garun S Hamilton, Peter A Frith, Alan L James, Paul S Thomas, Deborah Jarvis, Cecilie Svanes, Melissa Russell, Stephen C Morrison, Iain Feather, Katrina J Allen, Richard Wood-Baker, John Hopper, Graham G Giles, Michael J Abramson, Eugene H Walters, Melanie C Matheson, Shyamali C Dharmage

Abstract

Lifetime lung function is related to quality of life and longevity. Over the lifespan, individuals follow different lung function trajectories. Identification of these trajectories, their determinants, and outcomes is important, but no study has done this beyond the fourth decade. We used six waves of the Tasmanian Longitudinal Health Study (TAHS) to model lung function trajectories measured at 7, 13, 18, 45, 50, and 53 years. We analysed pre-bronchodilator FEV1z-scores at the six timepoints using group-based trajectory modelling to identify distinct subgroups of individuals whose measurements followed a similar pattern over time. We related the trajectories identified to childhood factors and risk of chronic obstructive pulmonary disease (COPD) using logistic regression, and estimated population-attributable fractions of COPD. Of the 8583 participants in the original cohort, 2438 had at least two waves of lung function data at age 7 years and 53 years and comprised the study population. We identified six trajectories: early below average, accelerated decline (97 [4%] participants); persistently low (136 [6%] participants); early low, accelerated growth, normal decline (196 [8%] participants); persistently high (293 [12%] participants); below average (772 [32%] participants); and average (944 [39%] participants). The three trajectories early below average, accelerated decline; persistently low; and below average had increased risk of COPD at age 53 years compared with the average group (early below average, accelerated decline: odds ratio 35·0, 95% CI 19·5-64·0; persistently low: 9·5, 4·5-20·6; and below average: 3·7, 1·9-6·9). Early-life predictors of the three trajectories included childhood asthma, bronchitis, pneumonia, allergic rhinitis, eczema, parental asthma, and maternal smoking. Personal smoking and active adult asthma increased the impact of maternal smoking and childhood asthma, respectively, on the early below average, accelerated decline trajectory. We identified six potential FEV1trajectories, two of which were novel. Three trajectories contributed 75% of COPD burden and were associated with modifiable early-life exposures whose impact was aggravated by adult factors. We postulate that reducing maternal smoking, encouraging immunisation, and avoiding personal smoking, especially in those with smoking parents or low childhood lung function, might minimise COPD risk. Clinicians and patients with asthma should be made aware of the potential long-term implications of non-optimal asthma control for lung function trajectory throughout life, and the role and benefit of optimal asthma control on improving lung function should be investigated in future intervention trials. National Health and Medical Research Council of Australia; European Union's Horizon 2020; The University of Melbourne; Clifford Craig Medical Research Trust of Tasmania; The Victorian, Queensland & Tasmanian Asthma Foundations; The Royal Hobart Hospital; Helen MacPherson Smith Trust; and GlaxoSmithKline.

X Demographics

X Demographics

The data shown below were collected from the profiles of 178 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 287 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 287 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 55 19%
Student > Master 30 10%
Student > Ph. D. Student 28 10%
Other 17 6%
Student > Doctoral Student 17 6%
Other 60 21%
Unknown 80 28%
Readers by discipline Count As %
Medicine and Dentistry 90 31%
Biochemistry, Genetics and Molecular Biology 22 8%
Nursing and Health Professions 19 7%
Pharmacology, Toxicology and Pharmaceutical Science 11 4%
Agricultural and Biological Sciences 10 3%
Other 35 12%
Unknown 100 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 855. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 August 2023.
All research outputs
#21,258
of 25,584,565 outputs
Outputs from The Lancet Respiratory Medicine
#50
of 2,887 outputs
Outputs of similar age
#447
of 343,899 outputs
Outputs of similar age from The Lancet Respiratory Medicine
#1
of 71 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,887 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 78.8. This one has done particularly well, scoring higher than 98% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 343,899 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.