pone.0278980.s007.docx (21.72 kB)
Univariate models between anthropometric indicators and risk factors for malnutrition.
journal contribution
posted on 2022-12-12, 18:33 authored by Ali-Mohamed Nassur, Oussama Daanouni, Gwenaelle Luc, Alexandra Humphreys, Lenka Blanarova, Grace Heymsfield, Firmin Kouassi, Suvi T. Kangas, Dieynaba S. N’Diaye***p-value < 0.001; **p-value < 0.01; *p-value < 0.05; ●p-value < 0.20; Ref: the reference class for a qualitative variable; OR: Odds ratio; CI 95%: confidence interval at 5% alpha risk; WHZ: Weight for Height Z-score; MUAC: Mid-upper Arm Circumference; GAM: Global Acute Malnutrition; MAM: Moderate Acute Malnutrition; SAM: Severe Acute Malnutrition; cGAM: combined Global Acute Malnutrition; cMAM: combined Moderate Acute Malnutrition; cSAM: combined Severe Acute Malnutrition.
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upper arm circumferencestage cluster samplingadjusted odds ratio5 years worldwide0 &# 8211recommended anthropometric thresholds2 ], 1115 &# 88041 &# 8211lt ;- 2larger sample sizeslarge sample contributexlink "> crosssevere acute malnutritionmoderate acute malnutritionmortality among childrenci ): 1lt ;- 3identify factors associatedxlink ">acute malnutritionamong childrenanthropometric indicator115 mm356 childrensignificantly associatedfactors associatedalso associatedunwashed facestudied factorsresults obtainedmultivariate analysesheight zdifferent indicatorsconfidence intervalburkina faso59 months125 mm
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