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Iron, folate and vitamin B12 status of Ethiopian professional runners

Overview of attention for article published in Nutrition & Metabolism, December 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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17 X users
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1 Facebook page

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19 Dimensions

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120 Mendeley
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Title
Iron, folate and vitamin B12 status of Ethiopian professional runners
Published in
Nutrition & Metabolism, December 2015
DOI 10.1186/s12986-015-0056-8
Pubmed ID
Authors

Kifle Habte, Abdulaziz Adish, Dilnesaw Zerfu, Aweke Kebede, Tibebu Moges, Biniyam Tesfaye, Feyissa Challa, Kaleab Baye

Abstract

Better macro and micro nutrient status and their adequate intake by the athletes have great role in balancing losses associated with strenuous exercise, then for better performance. The objective of this study was to determine iron, folate and vitamin B12 status of Ethiopian professional athletes. A cross sectional study was conducted using a point time convenient sample of 101 male and female Ethiopian professional athletes of different distance categories in the period of February to April 2014. Biochemical samples, detail health and exercise related interview, performance data, 24 h dietary diversity and weekly food frequency were collected. The low, medium and high dietary diversity terciles were 36.1, 60.9 and 3.3 % respectively. The mean ± Sd of dietary diversity was 5.44 ± 1.8. Prevalence of iron overload (Serum ferritin >200 μg/L) was 11 %, whereas that of anemia (Hb < 12 g/dL), iron deficiency (ferritin < 12 μg/L) and moderate folate deficiency (<5.9 ng/mL) was 3, 2 and 20.8 % respectively. There was no iron deficiency anemia case in the study. In this study, the mean serum vitamin B12 concentration was 561 ± 231 pg/ml with a minimum and maximum value of 210 and 1736 pg/ml respectively, and there was no deficiency for this nutrient (>210 pg/ml). The iron status of male athletes was significantly different by running-distance categories. In contrast, such difference was absent for female athletes. Performance of the athletes was associated with their red blood cell count (RBC) at p = 0.03. The high performer athletes exhibited high mean value of micronutrient status and hematological variables than their counter parts. However, the RBC of the athletes was the only parameter whose association was statistically significant. The observed gender difference in the association of running-distance category with iron and folate in this study needs further investigation. Given the 11 % iron overload in the present study; there is a need of awarance creation activities and diet intervention in the athletics federation, the athletes and the coaches in order not aggravate the present overload. Prescription of supplements such as iron-folate, multivitamins and minerals should not be based on broad spectrum rather it should be based on recent history of confirmed deficiency, clinical signs and/or laboratory testing to prevent trace element toxicity.

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Zimbabwe 1 <1%
Unknown 118 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 18%
Student > Ph. D. Student 15 13%
Student > Bachelor 15 13%
Researcher 10 8%
Lecturer 7 6%
Other 14 12%
Unknown 37 31%
Readers by discipline Count As %
Sports and Recreations 17 14%
Medicine and Dentistry 16 13%
Nursing and Health Professions 14 12%
Agricultural and Biological Sciences 9 8%
Biochemistry, Genetics and Molecular Biology 8 7%
Other 16 13%
Unknown 40 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 April 2016.
All research outputs
#2,679,400
of 22,836,570 outputs
Outputs from Nutrition & Metabolism
#277
of 949 outputs
Outputs of similar age
#47,990
of 393,178 outputs
Outputs of similar age from Nutrition & Metabolism
#11
of 28 outputs
Altmetric has tracked 22,836,570 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 949 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.5. This one has gotten more attention than average, scoring higher than 70% 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 393,178 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.