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Effect of correcting for gestational age at birth on population prevalence of early childhood undernutrition

Overview of attention for article published in Emerging Themes in Epidemiology, February 2018
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  • Above-average Attention Score compared to outputs of the same age (55th percentile)

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Title
Effect of correcting for gestational age at birth on population prevalence of early childhood undernutrition
Published in
Emerging Themes in Epidemiology, February 2018
DOI 10.1186/s12982-018-0070-1
Pubmed ID
Authors

Nandita Perumal, Daniel E. Roth, Johnna Perdrizet, Aluísio J. D. Barros, Iná S. Santos, Alicia Matijasevich, Diego G. Bassani

Abstract

Postmenstrual and/or gestational age-corrected age (CA) is required to apply child growth standards to children born preterm (< 37 weeks gestational age). Yet, CA is rarely used in epidemiologic studies in low- and middle-income countries (LMICs), which may bias population estimates of childhood undernutrition. To evaluate the effect of accounting for GA in the application of growth standards, we used GA-specific standards at birth (INTERGROWTH-21st newborn size standards) in conjunction with CA for preterm-born children in the application of World Health Organization Child Growth Standards postnatally (referred to as 'CA' strategy) versus postnatal age for all children, to estimate mean length-for-age (LAZ) and weight-for-age (WAZ)zscores at 0, 3, 12, 24, and 48-months of age in the 2004 Pelotas (Brazil) Birth Cohort. At birth (n = 4066), mean LAZ was higher and the prevalence of stunting (LAZ < -2) was lower using CA versus postnatal age (mean ± SD): - 0.36 ± 1.19 versus - 0.67 ± 1.32; and 8.3 versus 11.6%, respectively. Odds ratio (OR) and population attributable risk (PAR) of stunting due to preterm birth were attenuated and changed inferences using CA versus postnatal age at birth [OR, 95% confidence interval (CI): 1.32 (95% CI 0.95, 1.82) vs 14.7 (95% CI 11.7, 18.4); PAR 3.1 vs 42.9%]; differences in inferences persisted at 3-months. At 12, 24, and 48-months, preterm birth was associated with stunting, but ORs/PARs remained attenuated using CA compared to postnatal age. Findings were similar for weight-for-agezscores. Population-based epidemiologic studies in LMICs in which GA is unused or unavailable may overestimate the prevalence of early childhood undernutrition and inflate the fraction of undernutrition attributable to preterm birth.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 25%
Student > Master 6 25%
Student > Bachelor 3 13%
Researcher 3 13%
Professor 1 4%
Other 3 13%
Unknown 2 8%
Readers by discipline Count As %
Medicine and Dentistry 8 33%
Nursing and Health Professions 4 17%
Agricultural and Biological Sciences 3 13%
Social Sciences 2 8%
Mathematics 1 4%
Other 3 13%
Unknown 3 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 08 February 2018.
All research outputs
#6,764,817
of 12,481,741 outputs
Outputs from Emerging Themes in Epidemiology
#64
of 103 outputs
Outputs of similar age
#145,837
of 340,119 outputs
Outputs of similar age from Emerging Themes in Epidemiology
#1
of 1 outputs
Altmetric has tracked 12,481,741 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 103 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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 340,119 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 55% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them