» Articles » PMID: 35992151

The Best Tool for the Assessment of Developmental Disorders in Children with Down Syndrome: Comparison of Standard and Specialized Growth Charts - Cross Sectional Study

Overview
Specialty Endocrinology
Date 2022 Aug 22
PMID 35992151
Authors
Affiliations
Soon will be listed here.
Abstract

Down Syndrome (DS) is a chromosomal abnormality associated with a spectrum of cognitive and physical disabilities. Children with DS are exposed to both lower and excess body weight and follow distinct growth-curve patterns that deviate significantly from those of children without chromosomal defects. Anthropometric parameters are assessed in the pediatric population with the use of growth charts. The study is based on data from 411 children and adults with DS from Poland. Detailed information concerning children and online survey results were also analyzed. Centiles and standard deviation scores (SDS) of obtained anthropometric parameters were aligned with the data using the LMS method. The study aims to identify which type of growth chart (standard vs specialized) is a leading tool for earlier detection of developmental disorders in DS. The results obtained in the two types of growth charts differed. The advantage of the specialized growth charts over the standard ones cannot be unequivocally determined. Only the combination of both tools allows to detect the development disorders early in the broadest possible way.

Citing Articles

Down syndrome and outcomes in critically ill pediatric patients.

Tantalean Da Fieno J, Leon Paredes R, Palomo Luck P, Del Aguila Villar C, Rizo Patron E Front Pediatr. 2025; 12:1483944.

PMID: 39925460 PMC: 11802518. DOI: 10.3389/fped.2024.1483944.


The Role of Diet and Physical Activity in Obesity and Overweight in Children with Down Syndrome in Developed Countries.

Belleri P, Mazzuca G, Pietrobelli A, Zampieri N, Piacentini G, Zaffanello M Children (Basel). 2024; 11(9).

PMID: 39334589 PMC: 11430638. DOI: 10.3390/children11091056.


Predisposition to atherosclerosis in children and adults with trisomy 21: biochemical and metabolomic studies.

Hetman M, Mielko K, Placzkowska S, Bodetko A, Mlynarz P, Barg E Pediatr Endocrinol Diabetes Metab. 2023; 29(3):143-155.

PMID: 38031830 PMC: 10679913. DOI: 10.5114/pedm.2023.131162.


Pediatric Population with Down Syndrome: Obesity and the Risk of Cardiovascular Disease and Their Assessment Using Omics Techniques-Review.

Hetman M, Barg E Biomedicines. 2022; 10(12).

PMID: 36551975 PMC: 9775395. DOI: 10.3390/biomedicines10123219.

References
1.
Hermon C, Alberman E, Beral V, Swerdlow A . Mortality and cancer incidence in persons with Down's syndrome, their parents and siblings. Ann Hum Genet. 2001; 65(Pt 2):167-76. DOI: 10.1017/S0003480001008508. View

2.
Cole T . The LMS method for constructing normalized growth standards. Eur J Clin Nutr. 1990; 44(1):45-60. View

3.
Myrelid A, Gustafsson J, Ollars B, Anneren G . Growth charts for Down's syndrome from birth to 18 years of age. Arch Dis Child. 2002; 87(2):97-103. PMC: 1719180. DOI: 10.1136/adc.87.2.97. View

4.
Nordstrom M, Retterstol K, Hope S, Kolset S . Nutritional challenges in children and adolescents with Down syndrome. Lancet Child Adolesc Health. 2020; 4(6):455-464. DOI: 10.1016/S2352-4642(19)30400-6. View

5.
Cole T . Growth monitoring with the British 1990 growth reference. Arch Dis Child. 1997; 76(1):47-9. PMC: 1717048. DOI: 10.1136/adc.76.1.47. View