Comparison of anthropometric indicators to predict mortality in a population-based prospective study of children under 5 years in Niger

Public Health Nutr. 2020 Feb;23(3):538-543. doi: 10.1017/S1368980019002520. Epub 2019 Sep 9.

Abstract

Objective: In the present study, we aimed to compare anthropometric indicators as predictors of mortality in a community-based setting.

Design: We 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.

Setting: Niger.

Participants: Children aged 6-60 months during the study.

Results: Of 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).

Conclusions: MUAC appears to be a better predictor of mortality than other anthropometric indicators in this community-based, high-malnutrition setting in Niger.

Keywords: Anthropometry; Malnutrition; Mortality; Niger.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Anthropometry*
  • Arm / anatomy & histology*
  • Body Height
  • Body Weight
  • Child
  • Child Mortality*
  • Child, Preschool
  • Female
  • Humans
  • Infant
  • Longitudinal Studies
  • Male
  • Malnutrition / mortality*
  • Niger
  • Prospective Studies