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Individual and household risk factors of severe acute malnutrition among under-five children in Mao, Chad: a matched case-control study

Overview of attention for article published in Archives of Public Health, August 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)

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166 Mendeley
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Title
Individual and household risk factors of severe acute malnutrition among under-five children in Mao, Chad: a matched case-control study
Published in
Archives of Public Health, August 2018
DOI 10.1186/s13690-018-0281-5
Pubmed ID
Authors

Jovana Dodos, Chiara Altare, Mahamat Bechir, Mark Myatt, Brigitte Pedro, Francois Bellet, Jean Lapegue, Joachim Peeters, Mathias Altmann

Abstract

Severe acute malnutrition (SAM) is one of the leading causes of morbidity and mortality in Chad. The reasons behind persistently high prevalence of SAM in the Kanem region are still poorly understood, leaving national and international partners without clearly identified drivers to address. Current knowledge of SAM determinants in this context is largely based on very limited data. The aim of this study was thus to investigate individual and household-level risk factors for SAM among under-five children in Mao health district. A matched case-control study was conducted on 411 (137 cases and 274 controls) children aged 6-59 months with their caretakers from mid-February to August 2017. Data were collected by using a structured interviewer administered questionnaire, anthropometric measurements and through direct observations of household environment. Controls were matched to their cases on place of residence and on age (± 3 months). Data were double-entered, processed and analysed using Epi Info 7.2.0.1. Conditional logistic regression was used to analyse the association of independent variables with SAM. For multivariable analysis, two models were constructed to investigate risk factors for SAM, at individual and household level. A stepwise backwards elimination approach with a significance level of p = 0.05 was used to build the final models. At the individual level, SAM was significantly associated with diarrhoea [AOR (95% CI) = 10.7 (4.2-27.3)], fever [AOR (95% CI) = 8.4 (3.1-22.8)], vomiting [AOR (95% CI) = 7.6 (3.0-19.7)], being stunted [AOR (95% CI) = 5.3 (1.7-16.3)], and type of complementary meal [AOR (95% CI) = 4.4 (1.0-19.6)]. At the household level, SAM was significantly associated with undernourished caretaker [AOR (95% CI) = 2.6 (1.2-5.5)], caretaker's hand washing habits [AOR (95% CI) = 1.9 (1.2-3.1)], absence of toilet [AOR (95% CI) = 1.9 (1.1-3.6)], caretaker's marriage status [AOR (95% CI) = 7.7 (2.0-30.1)], and low household food diversity [AOR (95% CI) = 1.8 (1.0-3.1)]. The present study identified the need to address both treatment and prevention of infections in children through an integrated approach. Well-organized efforts to improve child feeding practices, household hygiene and sanitation conditions, women's nutritional status, along with increasing household food diversity are likely to lead to improved nutritional status of children in this setting.

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The data shown below were collected from the profiles of 3 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 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 166 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 14%
Researcher 15 9%
Student > Bachelor 13 8%
Other 9 5%
Student > Ph. D. Student 8 5%
Other 22 13%
Unknown 76 46%
Readers by discipline Count As %
Nursing and Health Professions 32 19%
Medicine and Dentistry 23 14%
Social Sciences 9 5%
Biochemistry, Genetics and Molecular Biology 5 3%
Economics, Econometrics and Finance 4 2%
Other 15 9%
Unknown 78 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 October 2018.
All research outputs
#4,169,998
of 25,385,509 outputs
Outputs from Archives of Public Health
#233
of 1,144 outputs
Outputs of similar age
#74,252
of 341,886 outputs
Outputs of similar age from Archives of Public Health
#20
of 26 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,144 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done well, scoring higher than 78% 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 341,886 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 78% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.