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

  • Kieran S O’Brien (a1) (a2), Abdou Amza (a3), Boubacar Kadri (a3), Beido Nassirou (a3), Sun Y Cotter (a1), Nicole E Stoller (a1), Sheila K West (a4), Robin L Bailey (a5), Travis C Porco (a1) (a6) (a7), Jeremy D Keenan (a1) (a6), Thomas M Lietman (a1) (a6) (a7) and Catherine E Oldenburg (a1) (a7)...

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.

Copyright

Corresponding author

*Corresponding author: Email catherine.oldenburg@ucsf.edu

References

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