학술논문

Comparison of anthropometric indicators to predict mortality in a population-based prospective study of children under 5 years in Niger
Document Type
article
Source
Public Health Nutrition. 23(3)
Subject
Biomedical and Clinical Sciences
Public Health
Health Sciences
Nutrition and Dietetics
Obesity
Pediatric
Clinical Trials and Supportive Activities
Clinical Research
Nutrition
Zero Hunger
Good Health and Well Being
Anthropometry
Arm
Body Height
Body Weight
Child
Child Mortality
Child
Preschool
Female
Humans
Infant
Longitudinal Studies
Male
Malnutrition
Niger
Prospective Studies
Mortality
Medical and Health Sciences
Nutrition & Dietetics
Biomedical and clinical sciences
Health sciences
Language
Abstract
ObjectiveIn the present study, we aimed to compare anthropometric indicators as predictors of mortality in a community-based setting.DesignWe conducted a population-based longitudinal study nested in a cluster-randomized trial. We assessed weight, height and mid-upper arm circumference (MUAC) on children 12 months after the trial began and used the trial's annual census and monitoring visits to assess mortality over 2 years.SettingNiger.ParticipantsChildren aged 6-60 months during the study.ResultsOf 1023 children included in the study at baseline, height-for-age Z-score, weight-for-age Z-score, weight-for-height Z-score and MUAC classified 777 (76·0 %), 630 (61·6 %), 131 (12·9 %) and eighty (7·8 %) children as moderately to severely malnourished, respectively. Over the 2-year study period, fifty-eight children (5·7 %) died. MUAC had the greatest AUC (0·68, 95 % CI 0·61, 0·75) and had the strongest association with mortality in this sample (hazard ratio = 2·21, 95 % CI 1·26, 3·89, P = 0·006).ConclusionsMUAC appears to be a better predictor of mortality than other anthropometric indicators in this community-based, high-malnutrition setting in Niger.