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BMI at school age and incident asthma admissions in early adulthood: a prospective study of 310,211 children

Overview of attention for article published in Clinical Epidemiology, May 2018
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  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
BMI at school age and incident asthma admissions in early adulthood: a prospective study of 310,211 children
Published in
Clinical Epidemiology, May 2018
DOI 10.2147/clep.s156310
Pubmed ID
Authors

Charlotte Suppli Ulrik, Søren N Lophaven, Zorana Jovanovic Andersen, Thorkild IA Sørensen, Jennifer L Baker

Abstract

Excess body weight in adulthood is associated with risk for asthma admission (AA). Our aim was to investigate if this association also applies to the relation between body mass index (BMI) in childhood and AAs in early adulthood (age 20-45 years). This was a prospective study of 310,211 schoolchildren (born 1930-1989) from the Copenhagen School Health Records Register. Height and weight were measured annually, and generated BMI z-scores were categorized as low (lower quartile), normal (interquartile) and high (upper quartile). Associations between BMI at ages 7-13 and AA were estimated by Cox regressions, and presented as hazard ratios (HRs) and 95% confidence intervals (CI). Main outcome was incident hospital AAs (extracted from the Danish National Patient Register) in early adulthood. During 4,708,607 person-years of follow-up, 1,813 incident AAs were observed. Nonlinear associations were detected between childhood BMI and AAs. The risk of AA increased for females in the highest BMI category in childhood, with the highest HR of 1.3 (95% CI 1.16-1.55) at the age of 13 years. By contrast, males in the low BMI category had a higher risk of AA in early adulthood, with the highest HR of 1.24 (95% CI 1.03-1.51) at the age of 12 years. Females with an increase in BMI between ages 7 and 13 years had an increased risk of AA compared with females with stable BMI (HR 1.28, 95% CI 1.10-1.50). The association between childhood BMI and AA in early adulthood is non-linear. High BMI increases the risk of AA in females, whereas low BMI increases the risk in males.

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The data shown below were collected from the profiles of 5 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 13%
Professor > Associate Professor 2 13%
Student > Master 2 13%
Librarian 1 6%
Student > Bachelor 1 6%
Other 2 13%
Unknown 6 38%
Readers by discipline Count As %
Medicine and Dentistry 3 19%
Nursing and Health Professions 2 13%
Business, Management and Accounting 1 6%
Psychology 1 6%
Arts and Humanities 1 6%
Other 0 0%
Unknown 8 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 10 June 2018.
All research outputs
#7,378,900
of 24,138,997 outputs
Outputs from Clinical Epidemiology
#286
of 758 outputs
Outputs of similar age
#121,351
of 330,169 outputs
Outputs of similar age from Clinical Epidemiology
#15
of 24 outputs
Altmetric has tracked 24,138,997 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 758 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one has gotten more attention than average, scoring higher than 62% 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 330,169 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.