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

Kieran S. O'Brien, Abdou Amza, Boubacar Kadri, Beido Nassirou, Sun Y. Cotter, Nicole E. Stoller, Sheila K West, Robin L. Bailey, Travis C. Porco, Jeremy D. Keenan, Thomas M. Lietman, Catherine E. Oldenburg

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
JournalPublic Health Nutrition
DOIs
StateAccepted/In press - Jan 1 2019

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Niger
circumferences
mortality
census
predictions
malnutrition
hazards
indicator
comparison
hazard
monitoring
trial

Keywords

  • Anthropometry
  • Malnutrition
  • Mortality
  • Niger

ASJC Scopus subject areas

  • Astronomy and Astrophysics
  • Space and Planetary Science

Cite this

Comparison of anthropometric indicators to predict mortality in a population-based prospective study of children under 5 years in Niger. / O'Brien, Kieran S.; Amza, Abdou; Kadri, Boubacar; Nassirou, Beido; Cotter, Sun Y.; Stoller, Nicole E.; West, Sheila K; Bailey, Robin L.; Porco, Travis C.; Keenan, Jeremy D.; Lietman, Thomas M.; Oldenburg, Catherine E.

In: Public Health Nutrition, 01.01.2019.

Research output: Contribution to journalArticle

O'Brien, KS, Amza, A, Kadri, B, Nassirou, B, Cotter, SY, Stoller, NE, West, SK, Bailey, RL, Porco, TC, Keenan, JD, Lietman, TM & Oldenburg, CE 2019, 'Comparison of anthropometric indicators to predict mortality in a population-based prospective study of children under 5 years in Niger', Public Health Nutrition. https://doi.org/10.1017/S1368980019002520
O'Brien, Kieran S. ; Amza, Abdou ; Kadri, Boubacar ; Nassirou, Beido ; Cotter, Sun Y. ; Stoller, Nicole E. ; West, Sheila K ; Bailey, Robin L. ; Porco, Travis C. ; Keenan, Jeremy D. ; Lietman, Thomas M. ; Oldenburg, Catherine E. / Comparison of anthropometric indicators to predict mortality in a population-based prospective study of children under 5 years in Niger. In: Public Health Nutrition. 2019.
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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.",
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AU - Amza, Abdou

AU - Kadri, Boubacar

AU - Nassirou, Beido

AU - Cotter, Sun Y.

AU - Stoller, Nicole E.

AU - West, Sheila K

AU - Bailey, Robin L.

AU - Porco, Travis C.

AU - Keenan, Jeremy D.

AU - Lietman, Thomas M.

AU - Oldenburg, Catherine E.

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