» Articles » PMID: 26843152

Using Growth Velocity to Predict Child Mortality

Overview
Journal Am J Clin Nutr
Publisher Elsevier
Date 2016 Feb 5
PMID 26843152
Citations 15
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Growth assessment based on the WHO child growth velocity standards can potentially be used to predict adverse health outcomes. Nevertheless, there are very few studies on growth velocity to predict mortality.

Objectives: We aimed to determine the ability of various growth velocity measures to predict child death within 3 mo and to compare it with those of attained growth measures.

Design: Data from 5657 children <5 y old who were enrolled in a cohort study in the Democratic Republic of Congo were used. Children were measured up to 6 times in 3-mo intervals, and 246 (4.3%) children died during the study period. Generalized estimating equation (GEE) models informed the mortality risk within 3 mo for weight and length velocity z scores and 3-mo changes in midupper arm circumference (MUAC). We used receiver operating characteristic (ROC) curves to present balance in sensitivity and specificity to predict child death.

Results: GEE models showed that children had an exponential increase in the risk of dying with decreasing growth velocity in all 4 indexes (1.2- to 2.4-fold for every unit decrease). A length and weight velocity z score of <-3 was associated with an 11.8- and a 7.9-fold increase, respectively, in the RR of death in the subsequent 3-mo period (95% CIs: 3.9, 35.5, and 3.9, 16.2, respectively). Weight and length velocity z scores had better predictive abilities [area under the ROC curves (AUCs) of 0.67 and 0.69] than did weight-for-age (AUC: 0.57) and length-for-age (AUC: 0.52) z scores. Among wasted children (weight-for-height z score <-2), the AUC of weight velocity z scores was 0.87. Absolute MUAC performed best among the attained indexes (AUC: 0.63), but longitudinal assessment of MUAC-based indexes did not increase the predictive value.

Conclusion: Although repeated growth measures are slightly more complex to implement, their superiority in mortality-predictive abilities suggests that these could be used more for identifying children at increased risk of death.

Citing Articles

Weight Velocity in Addition to Latest Weight Does Not Improve the Identification of Wasting or the Prediction of Stunting and Mortality: A Longitudinal Analysis Using Data from Malawi, South Africa, and Pakistan.

Wright C, Petermann-Rocha F, Bland R, Ashorn P, Zaman S, Ho F J Nutr. 2024; 154(8):2583-2589.

PMID: 38936551 PMC: 11375462. DOI: 10.1016/j.tjnut.2024.06.011.


Growth monitoring and mortality risk in low birthweight infants: a birth cohort study in Burkina Faso.

Mwangome M, Ngari M, Bahwere P, Kabore P, McGrath M, Berkley J Gates Open Res. 2024; 5:82.

PMID: 38544843 PMC: 10967696. DOI: 10.12688/gatesopenres.13231.2.


Evaluating preschool linear growth velocities: an interim reference illustrated in Nepal.

Manohar S, Colantuoni E, Thorne-Lyman A, Shrestha B, Adhikari R, Kc A Public Health Nutr. 2023; 26(12):2704-2716.

PMID: 37932904 PMC: 10755438. DOI: 10.1017/S1368980023002409.


The association of central and extremity circumference with all-cause mortality and cardiovascular mortality: a cohort study.

Liu J, Jin X, Feng Z, Huang J Front Cardiovasc Med. 2023; 10:1251619.

PMID: 37719982 PMC: 10501716. DOI: 10.3389/fcvm.2023.1251619.


Arm Circumference, Arm-to-Waist Ratio in Relation to Cardiovascular and All-Cause Mortality among Patients with Diabetes Mellitus.

Xiao X, Yu X, Zhu H, Zhai X, Li S, Ma W Nutrients. 2023; 15(4).

PMID: 36839318 PMC: 9959583. DOI: 10.3390/nu15040961.


References
1.
Mwangome M, Fegan G, Fulford T, Prentice A, Berkley J . Mid-upper arm circumference at age of routine infant vaccination to identify infants at elevated risk of death: a retrospective cohort study in the Gambia. Bull World Health Organ. 2013; 90(12):887-94. PMC: 3524961. DOI: 10.2471/BLT.12.109009. View

2.
de Onis M, Wijnhoven T, Onyango A . Worldwide practices in child growth monitoring. J Pediatr. 2004; 144(4):461-5. DOI: 10.1016/j.jpeds.2003.12.034. View

3.
. Anthropometric assessment of young children's nutritional status as an indicator of subsequent risk of dying. J Trop Pediatr. 1983; 29(2):69-75. DOI: 10.1093/tropej/29.2.69. View

4.
. A health professional's guide for using the new WHO growth charts. Paediatr Child Health. 2011; 15(2):84-98. PMC: 2865941. DOI: 10.1093/pch/15.2.84. View

5.
Briend A, Van den Broeck J, Fadnes L . Target weight gain for moderately wasted children during supplementation interventions--a population-based approach. Public Health Nutr. 2011; 14(12):2117-23. DOI: 10.1017/S1368980011001777. View