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Seasonality and determinants of child growth velocity and growth deficit in rural southwest Ethiopia

Overview of attention for article published in BMC Pediatrics, February 2018
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Title
Seasonality and determinants of child growth velocity and growth deficit in rural southwest Ethiopia
Published in
BMC Pediatrics, February 2018
DOI 10.1186/s12887-018-0986-1
Pubmed ID
Authors

Netsanet Fentahun, Tefera Belachew, Jennifer Coates, Carl Lachat

Abstract

Ethiopia faces cyclic food insecurity that alternates between pre- and post- harvest seasons. Whether seasonal variation in access to food is associated with child growth has not been assessed empirically. Understanding seasonality of child growth velocity and growth deficit helps to improve efforts to track population interventions against malnutrition. The aim of this study was assess child growth velocity, growth deficit, and their determinants in rural southwest Ethiopia. Data were obtained from four rounds of a longitudinal household survey conducted in ten districts in Oromiya Region and Southern Nations, Nationality and Peoples Region of Ethiopia, in which 1200 households were selected using multi-stage cluster sampling. Households with a child under 5 years were included in the present analyses (round 1 n = 579, round 2 n = 674, round 3 n = 674 and round 4 n = 680). The hierarchical nature of the data was taken into account during the statistical analyses by fitting a linear mixed effects model. A restricted maximum likelihood estimation method was employed in the analyses. Compared to the post-harvest season, a higher length and weight velocity were observed in pre-harvest season with an average difference of 6.4 cm/year and 0.6 kg/year compared to the post-harvest season. The mean height of children in post-harvest seasons was 5.7 cm below the WHO median reference height. The mean height of children increased an additional 3.3 cm [95% CI (2.94, 3.73)] per year in pre-harvest season compared to the post-harvest season. Similarly, the mean weight of children increased 1.0 kg [95% CI (0.91, 1.11)] per year more in the pre-harvest season compared to the post-harvest season. Children who had a low dietary diversity and were born during the lean season in both seasons had a higher linear growth deficit. Being member of a highly food insecure household was negatively associated with higher weight gain. Having experienced no illness during the previous 2 weeks was positively associated with linear growth and weight gain. Child growth velocities and child growth deficits were higher in the pre-harvest season and post- harvest season respectively. Low dietary diversity and being part of a highly food insecure household were significantly risk factors for decreased linear growth and weight gain respectively.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 127 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 15%
Researcher 17 13%
Student > Bachelor 14 11%
Student > Ph. D. Student 10 8%
Student > Postgraduate 7 6%
Other 17 13%
Unknown 43 34%
Readers by discipline Count As %
Medicine and Dentistry 21 17%
Nursing and Health Professions 20 16%
Social Sciences 11 9%
Agricultural and Biological Sciences 4 3%
Psychology 4 3%
Other 15 12%
Unknown 52 41%
Attention Score in Context

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 17 May 2021.
All research outputs
#14,966,095
of 23,020,670 outputs
Outputs from BMC Pediatrics
#1,939
of 3,037 outputs
Outputs of similar age
#255,616
of 440,103 outputs
Outputs of similar age from BMC Pediatrics
#65
of 95 outputs
Altmetric has tracked 23,020,670 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,037 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 32nd percentile – i.e., 32% 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 440,103 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 95 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.