Update on the Implementation of the WHO Child Growth Standards

Author(s):  
Mercedes de Onis
Children ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 133
Author(s):  
Perpetua Modjadji ◽  
Mpinane Pitso

Tobacco and alcohol use among mothers is associated with numerous adverse consequences for affected offspring, including poor growth and development. This study determined the association between maternal tobacco and alcohol use, and malnutrition, among infants aged ≤ 12 months (n = 300), in selected health facilities situated in Gauteng, South Africa. Data on alcohol and tobacco use were collected using a validated questionnaire, in addition to mothers’ socio-demographic characteristics and obstetric history. Stunting (low height/length-for-age), underweight (low weight-for-age) and thinness (low body mass index-for-age) were calculated using z-scores based on the World Health Organization child growth standards. The association of tobacco and alcohol use with stunting, underweight and thinness was analysed using logistic regression analysis. The results showed a mean age of 29 years (24.0; 35.0) for mothers and 7.6 ± 3 months for infants, and over half of the mothers were unemployed (63%). Approximately 18.7% of mothers had used tobacco and 3% had used alcohol during pregnancy. The prevalence of current tobacco and alcohol use among mothers were estimated at 14.3% and 49.7%, respectively, and almost three-quarters (67.3%) of them were still breastfeeding during the study period. Stunting (55%) was the most prevalent malnutrition indicator among infants, while underweight was 41.7%, and thinness was 22%. Current tobacco use was associated with increased odds of being thin [OR = 2.40, 95% CI: 1.09–5.45), and after adjusting for confounders, current alcohol use was associated with the likelihood of being underweight [AOR = 1.96, 95% CI: 1.06–3.63] among infants. Future prospective cohort studies that examine growth patterns among infants who are exposed to maternal tobacco and alcohol use from the intrauterine life to infancy are necessary to inform, partly, the public health programmes, to reduce malnutrition among children.


2005 ◽  
Vol 25 (2) ◽  
pp. 247-265 ◽  
Author(s):  
E. Borghi ◽  
M. de Onis ◽  
C. Garza ◽  
J. Van den Broeck ◽  
E. A. Frongillo ◽  
...  

Nutrients ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 3146
Author(s):  
Catherine Schwinger ◽  
Ranadip Chowdhury ◽  
Shakun Sharma ◽  
Nita Bhandari ◽  
Sunita Taneja ◽  
...  

High-quality protein has been associated with child growth; however, the role of the amino acid cysteine remains unclear. The aim was to measure the extent to which plasma total cysteine (tCys) concentration is associated with anthropometric status in children aged 6–30 months living in New Delhi, India. The study was a prospective cohort study including 2102 children. We calculated Z-scores for height-for-age (HAZ), weight-for-height (WHZ), or weight-for-age (WAZ) according to the WHO Child Growth Standards. We used multiple regression models to estimate the association between tCys and the anthropometric indices. A high proportion of the children were categorized as malnourished at enrolment; 41% were stunted (HAZ ≤ −2), 19% were wasted (WHZ ≤ −2) and 42% underweight (WAZ ≤ −2). Plasma total cysteine (tCys) was significantly associated with HAZ, WHZ and WAZ after adjusting for relevant confounders (p < 0.001). Low tCys (≤25th percentile) was associated with a decrease of 0.28 Z-scores for HAZ, 0.10 Z-scores for WHZ, and 0.21 Z-scores for WAZ compared to being >25th percentile. In young Indian children from low-to-middle socioeconomic neighborhoods, a low plasma total cysteine concentration was associated with an increased risk of poor anthropometric status.


2007 ◽  
Vol 137 (1) ◽  
pp. 149-152 ◽  
Author(s):  
Adelheid W. Onyango ◽  
Mercedes de Onis ◽  
Margherita Caroli ◽  
Uzma Shah ◽  
Yanina Sguassero ◽  
...  

Nutrients ◽  
2019 ◽  
Vol 11 (7) ◽  
pp. 1654
Author(s):  
Jacques Rigo ◽  
Stefanie Schoen ◽  
Marc Verghote ◽  
Bart van Overmeire ◽  
Wivinne Marion ◽  
...  

The current study aimed to investigate growth, safety and tolerance of partially hydrolysed infant formulae in healthy full-term infants. Fully formula-fed infants were randomised ≤14 days of age to receive a partially hydrolysed whey formula with 2.27 g protein/100 kcal (pHF2.27) or the same formula with 1.8 g or 2.0 g protein/100 kcal (pHF1.8 and pHF2.0) until 4 months of age. The primary outcome was equivalence in daily weight gain within margins of ± 3 g/day; comparison with WHO Child Growth Standards; gastrointestinal tolerance parameters and number of (serious) adverse events were secondary outcomes. A total of 207 infants were randomised, and 61 (pHF1.8), 46 (pHF2.0) and 48 (pHF2.27) infants completed the study per protocol. Equivalence in daily weight gain was demonstrated for the comparison of pHF1.8 and pHF2.27, i.e., the estimated difference was −1.12 g/day (90% CI: [−2.72; 0.47]) but was inconclusive for the comparisons of pHF2.0 and pHF2.27 with a difference of −2.52 g/day (90% CI: [−4.23; −0.81]). All groups showed adequate infant growth in comparison with the World Health Organization (WHO) Child Growth Standards. To conclude, the evaluated partially hydrolysed formulae varying in protein content support adequate growth and are safe and well tolerated in healthy infants.


Author(s):  
Nandita Perumal ◽  
Daniel E Roth ◽  
Donald C Cole ◽  
Stanley H Zlotkin ◽  
Johnna Perdrizet ◽  
...  

Abstract Child growth standards are commonly used to derive age- and sex-standardized anthropometric indices but are often inappropriately applied to preterm-born children (&lt;37 weeks of gestational age (GA)) in epidemiology studies. Using the 2004 Pelotas Birth Cohort, we examined the impact of correcting for GA in the application of child growth standards on the magnitude and direction of associations in 2 a priori–selected exposure-outcome scenarios: infant length-for-age z score (LAZ) and mid-childhood body mass index (scenario A), and infant LAZ and mid-childhood intelligence quotient (scenario B). GA was a confounder that had a strong (scenario A) or weak (scenario B) association with the outcome. Compared with uncorrected postnatal age, using GA-corrected postnatal age attenuated the magnitude of associations, particularly in early infancy, and changed inferences for associations at birth. Although differences in the magnitude of associations were small when GA was weakly associated with the outcome, model fit was meaningfully improved using corrected postnatal age. When estimating population-averaged associations with early childhood growth in studies where preterm- and term-born children are included, incorporating heterogeneity in GA at birth in the age scale used to standardize anthropometric indices postnatally provides a useful strategy to reduce standardization errors.


2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1174-1174
Author(s):  
Paraskevi Massara ◽  
Robert Bandsma ◽  
Celine Bourdon ◽  
Jonathon Maguire ◽  
Elena Comelli ◽  
...  

Abstract Objectives Eliminating anthropometry measurement error and employing outlier and biological implausible values (BIV) detection methods adapted to longitudinal measurements is important for the study of growth. This work aimed to review and assess the accuracy of the available BIV and outlier detection methods and propose a growth trajectory outlier detection method. Methods We included 2354 infants from the Applied Research Group for Kids (TARGet Kids! ) cohort-based in Toronto (ON, Canada) that recruits healthy children from birth to 5 years of age. We considered infants with at least 8 length and weight measurements available between the 1st and the 24th month of age. Weight-for-length z-scores (wflz) were calculated using the WHO growth standards. Outlier measurements were randomly introduced in 5% of the wflz measurements using a normal distribution (μ = 0, σ = 1). We employed 4 outlier detection methods; an empirical detection method for BIV using the cut-offs derived from the WHO Child Growth Standards, a clustering method, a method based on cluster prototypes for individual outlier measurements and a method based on cluster prototypes for entire growth trajectories. Each method was applied individually and evaluated using the sensitivity and specificity indexes based on the manually introduced outliers. We also calculated the Kappa statistic to evaluate the agreement of each method against the manual outliers. Results After excluding premature (&lt;37 weeks), low birth weight (&lt;1500 g) neonates and children with missing length and weight measurements, we analyzed 393 children with a total of 3144 measurements. Sensitivity and specificity for the four methods ranged between 4.4%–55.0% and 83.7% −99.7%, respectively, with kappa being non-significant (P &gt; 0.05) only for the empirical. The clustering detection method reported a higher finding rate, while the empirical method found most of the BIV, but few of the rest of the outliers. Conclusions BIV account for a small portion of the possible outliers in growth datasets. We show that additional statistical or model-based methods are required for a more comprehensive outlier detection process, which has implications for growth analysis and nutritional assessment. Funding Sources Joannah and Brian Lawson Center for Child Nutrition, Connaught Fund, Onassis Foundation.


The Lancet ◽  
1980 ◽  
Vol 315 (8179) ◽  
pp. 1195-1196 ◽  
Author(s):  
J-P. Manshande

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