Skip to main content
Top
Published in: BMC Pediatrics 1/2017

Open Access 01-12-2017 | Research article

Characterizing early child growth patterns of height-for-age in an urban slum cohort of Bangladesh with functional principal component analysis

Authors: Yin Zhang, Jianhui Zhou, Feiyang Niu, Jeffrey R. Donowitz, Rashidul Haque, William A. Petri Jr, Jennie Z. Ma

Published in: BMC Pediatrics | Issue 1/2017

Login to get access

Abstract

Background

Early childhood is a critical stage of physical and cognitive growth that forms the foundation of future wellbeing. Stunted growth is presented in one of every 4 children worldwide and contributes to developmental impairment and under-five mortality. Better understanding of early growth patterns should allow for early detection and intervention in malnutrition. We aimed to characterize early child growth patterns and quantify the change of growth curves from the World Health Organization (WHO) Child Growth Standards.

Methods

In a cohort of 626 Bangladesh children, longitudinal height-for-age z-scores (HAZ) were modelled over the first 24 months of life using functional principal component analysis (FPCA). Deviation of individual growth from the WHO standards was quantified based on the leading functional principal components (FPCs), and growth faltering was detected as it occurred. The risk factors associated with growth faltering were identified in a linear regression.

Results

Ninety-eight percent of temporal variation in growth trajectories over the first 24 months of life was captured by two leading FPCs (FPC1 for overall growth and FPC2 for change in growth trajectory). A derived index, adj-FPC2, quantified the change in growth trajectory (i.e., growth faltering) relative to the WHO standards. In addition to HAZ at birth, significant risk factors associated with growth faltering in boys included duration of breastfeeding, family size and income and in girls maternal weight and water source.

Conclusions

The underlying growth patterns of HAZ in the first 2 years of life were delineated with FPCA, and the deviations from the WHO standards were quantified from the two leading FPCs. The adj-FPC2 score provided a meaningful measure of growth faltering in the first 2 years of life, which enabled us to identify the risk factors associated with poor growth that would have otherwise been missed. Understanding faltering patterns and associated risk factors are important in the development of effective intervention strategies to improve childhood growth globally.

Trial registration

ClinicalTrials.gov Identifier: NCT02734264, registered 22 March, 2016.
Appendix
Available only for authorised users
Literature
1.
go back to reference WHO Multicentre Growth Reference Study Group. WHO Child Growth Standards: Length/height-for-age, weight-for-age, weight-for-length, weight-for-height and body mass index-for-age: Methods and development. Geneva: World Health Organization; 2006. WHO Multicentre Growth Reference Study Group. WHO Child Growth Standards: Length/height-for-age, weight-for-age, weight-for-length, weight-for-height and body mass index-for-age: Methods and development. Geneva: World Health Organization; 2006.
2.
go back to reference Black RE, Allen LH, Bhutta ZA, Caulfield LE, de Onis M, Ezzati M, Mathers C, Rivera J, Maternal and Child Undernutrition Study Group. Maternal and child undernutrition: global and regional exposures and health consequences. Lancet. 2008;371(9608):243–60.CrossRefPubMed Black RE, Allen LH, Bhutta ZA, Caulfield LE, de Onis M, Ezzati M, Mathers C, Rivera J, Maternal and Child Undernutrition Study Group. Maternal and child undernutrition: global and regional exposures and health consequences. Lancet. 2008;371(9608):243–60.CrossRefPubMed
3.
go back to reference Dewey KG, Begum K. Long-term consequences of stunting in early life. Matern Child Nutr. 2011;7 Suppl 3:5–18.CrossRefPubMed Dewey KG, Begum K. Long-term consequences of stunting in early life. Matern Child Nutr. 2011;7 Suppl 3:5–18.CrossRefPubMed
4.
go back to reference Petri Jr WA, Miller M, Binder HJ, Levine MM, Dillingham R, Guerrant RL. Enteric infections, diarrhea, and their impact on function and development. J Clin Invest. 2008;118(4):1277–90.CrossRefPubMedPubMedCentral Petri Jr WA, Miller M, Binder HJ, Levine MM, Dillingham R, Guerrant RL. Enteric infections, diarrhea, and their impact on function and development. J Clin Invest. 2008;118(4):1277–90.CrossRefPubMedPubMedCentral
6.
go back to reference Jiang NM, Tofail F, Moonah SN, Scharf RJ, Taniuchi M, Ma JZ, Hamadani JD, Gurley ES, Houpt ER, Azziz-Baumgartner E, Haque R, Petri Jr WA. Febrile illness and pro-inflammatory cytokines are associated with lower neurodevelopmental scores in Bangladeshi infants living in poverty. BMC Pediatr. 2014;14:50.CrossRefPubMedPubMedCentral Jiang NM, Tofail F, Moonah SN, Scharf RJ, Taniuchi M, Ma JZ, Hamadani JD, Gurley ES, Houpt ER, Azziz-Baumgartner E, Haque R, Petri Jr WA. Febrile illness and pro-inflammatory cytokines are associated with lower neurodevelopmental scores in Bangladeshi infants living in poverty. BMC Pediatr. 2014;14:50.CrossRefPubMedPubMedCentral
7.
go back to reference Grantham-McGregor S, Cheung YB, Cueto S, Glewwe P, Richter L, Strupp B, International Child Development Steering Group. Developmental potential in the first 5 years for children in developing countries. Lancet. 2007;369(9555):60–70.CrossRefPubMedPubMedCentral Grantham-McGregor S, Cheung YB, Cueto S, Glewwe P, Richter L, Strupp B, International Child Development Steering Group. Developmental potential in the first 5 years for children in developing countries. Lancet. 2007;369(9555):60–70.CrossRefPubMedPubMedCentral
8.
go back to reference Walker SP, Wachs TD, Gardner JM, Lozoff B, Wasserman GA, Pollitt E, Carter JA, International Child Development Steering Group. Child development: risk factors for adverse outcomes in developing countries. Lancet. 2007;369(9556):145–57.CrossRefPubMed Walker SP, Wachs TD, Gardner JM, Lozoff B, Wasserman GA, Pollitt E, Carter JA, International Child Development Steering Group. Child development: risk factors for adverse outcomes in developing countries. Lancet. 2007;369(9556):145–57.CrossRefPubMed
9.
go back to reference Mondal D, Minak J, Alam M, Liu Y, Dai J, Korpe P, Liu L, Haque R, Petri Jr WA. Contribution of enteric infection, altered intestinal barrier function, and maternal malnutrition to infant malnutrition in Bangladesh. Clin Infect Dis. 2012;54(2):185–92.CrossRefPubMed Mondal D, Minak J, Alam M, Liu Y, Dai J, Korpe P, Liu L, Haque R, Petri Jr WA. Contribution of enteric infection, altered intestinal barrier function, and maternal malnutrition to infant malnutrition in Bangladesh. Clin Infect Dis. 2012;54(2):185–92.CrossRefPubMed
10.
go back to reference Lundeen EA, Behrman JR, Crookston BT, Dearden KA, Engle P, Georgiadis A, Penny ME, Stein AD, Young Lives Determinants and Consequences of Child Growth Project Team. Growth faltering and recovery in children aged 1–8 years in four low- and middle-income countries: young lives. Public Health Nutr. 2014;17(9):2131–7.CrossRefPubMed Lundeen EA, Behrman JR, Crookston BT, Dearden KA, Engle P, Georgiadis A, Penny ME, Stein AD, Young Lives Determinants and Consequences of Child Growth Project Team. Growth faltering and recovery in children aged 1–8 years in four low- and middle-income countries: young lives. Public Health Nutr. 2014;17(9):2131–7.CrossRefPubMed
11.
12.
go back to reference Yao F, Müller H, Wang J. Functional data analysis for sparse longitudinal data. J Am Stat Assoc. 2005;100(470):577–90.CrossRef Yao F, Müller H, Wang J. Functional data analysis for sparse longitudinal data. J Am Stat Assoc. 2005;100(470):577–90.CrossRef
13.
go back to reference Müller H. Functional modelling and classification of longitudinal data. Scand J Stat. 2005;32(2):223–40.CrossRef Müller H. Functional modelling and classification of longitudinal data. Scand J Stat. 2005;32(2):223–40.CrossRef
14.
go back to reference Viviani R, Gron G, Spitzer M. Functional principal component analysis of fMRI data. Hum Brain Mapp. 2005;24(2):109–29.CrossRefPubMed Viviani R, Gron G, Spitzer M. Functional principal component analysis of fMRI data. Hum Brain Mapp. 2005;24(2):109–29.CrossRefPubMed
15.
go back to reference Illian JB, Prosser JI, Baker KL, Rangel-Castro JI. Functional principal component data analysis: a new method for analysing microbial community fingerprints. J Microbiol Methods. 2009;79(1):89–95.CrossRefPubMed Illian JB, Prosser JI, Baker KL, Rangel-Castro JI. Functional principal component data analysis: a new method for analysing microbial community fingerprints. J Microbiol Methods. 2009;79(1):89–95.CrossRefPubMed
16.
go back to reference Froslie KF, Roislien J, Qvigstad E, Godang K, Bollerslev J, Henriksen T, Veierod MB. Shape information in repeated glucose curves during pregnancy provided significant physiological information for neonatal outcomes. Plos One. 2014;9(3):e90798.CrossRefPubMedPubMedCentral Froslie KF, Roislien J, Qvigstad E, Godang K, Bollerslev J, Henriksen T, Veierod MB. Shape information in repeated glucose curves during pregnancy provided significant physiological information for neonatal outcomes. Plos One. 2014;9(3):e90798.CrossRefPubMedPubMedCentral
17.
go back to reference Shrimpton R, Victora CG, de Onis M, Lima RC, Blossner M, Clugston G. Worldwide timing of growth faltering: implications for nutritional interventions. Pediatrics. 2001;107(5):E75.CrossRefPubMed Shrimpton R, Victora CG, de Onis M, Lima RC, Blossner M, Clugston G. Worldwide timing of growth faltering: implications for nutritional interventions. Pediatrics. 2001;107(5):E75.CrossRefPubMed
18.
go back to reference Victora CG, de Onis M, Hallal PC, Blossner M, Shrimpton R. Worldwide timing of growth faltering: revisiting implications for interventions. Pediatrics. 2010;125(3):e473–80.CrossRefPubMed Victora CG, de Onis M, Hallal PC, Blossner M, Shrimpton R. Worldwide timing of growth faltering: revisiting implications for interventions. Pediatrics. 2010;125(3):e473–80.CrossRefPubMed
20.
go back to reference Cole TJ. Presenting information on growth distance and conditional velocity in one chart: practical issues of chart design. Stat Med. 1998;17(23):2697–707.CrossRefPubMed Cole TJ. Presenting information on growth distance and conditional velocity in one chart: practical issues of chart design. Stat Med. 1998;17(23):2697–707.CrossRefPubMed
21.
go back to reference Santos IS, Matijasevich A, Domingues MR, Barros AJ, Victora CG, Barros FC. Late preterm birth is a risk factor for growth faltering in early childhood: a cohort study. BMC Pediatr. 2009;9:71.CrossRefPubMedPubMedCentral Santos IS, Matijasevich A, Domingues MR, Barros AJ, Victora CG, Barros FC. Late preterm birth is a risk factor for growth faltering in early childhood: a cohort study. BMC Pediatr. 2009;9:71.CrossRefPubMedPubMedCentral
22.
23.
go back to reference Korpe PS, Liu Y, Siddique A, Kabir M, Ralston K, Ma JZ, Haque R, Petri Jr WA. Breast milk parasite-specific antibodies and protection from amebiasis and cryptosporidiosis in Bangladeshi infants: a prospective cohort study. Clin Infect Dis. 2013;56(7):988–92.CrossRefPubMed Korpe PS, Liu Y, Siddique A, Kabir M, Ralston K, Ma JZ, Haque R, Petri Jr WA. Breast milk parasite-specific antibodies and protection from amebiasis and cryptosporidiosis in Bangladeshi infants: a prospective cohort study. Clin Infect Dis. 2013;56(7):988–92.CrossRefPubMed
24.
go back to reference Peterson KM, Buss J, Easley R, Yang Z, Korpe PS, Niu F, Ma JZ, Olortegui MP, Haque R, Kosek MN, Petri Jr WA. REG1B as a predictor of childhood stunting in Bangladesh and Peru. Am J Clin Nutr. 2013;97(5):1129–33.CrossRefPubMedPubMedCentral Peterson KM, Buss J, Easley R, Yang Z, Korpe PS, Niu F, Ma JZ, Olortegui MP, Haque R, Kosek MN, Petri Jr WA. REG1B as a predictor of childhood stunting in Bangladesh and Peru. Am J Clin Nutr. 2013;97(5):1129–33.CrossRefPubMedPubMedCentral
25.
go back to reference Haque R, Snider C, Liu Y, Ma JZ, Liu L, Nayak U, Mychaleckyj JC, Korpe P, Mondal D, Kabir M, Alam M, Pallansch M, Oberste MS, Weldon W, Kirkpatrick BD, Petri Jr WA. Oral polio vaccine response in breast fed infants with malnutrition and diarrhea. Vaccine. 2014;32(4):478–82.CrossRefPubMed Haque R, Snider C, Liu Y, Ma JZ, Liu L, Nayak U, Mychaleckyj JC, Korpe P, Mondal D, Kabir M, Alam M, Pallansch M, Oberste MS, Weldon W, Kirkpatrick BD, Petri Jr WA. Oral polio vaccine response in breast fed infants with malnutrition and diarrhea. Vaccine. 2014;32(4):478–82.CrossRefPubMed
26.
go back to reference Mei Z, Grummer-Strawn LM. Standard deviation of anthropometric Z-scores as a data quality assessment tool using the 2006 WHO growth standards: a cross country analysis. Bull World Health Organ. 2007;85(6):441–8.CrossRefPubMedPubMedCentral Mei Z, Grummer-Strawn LM. Standard deviation of anthropometric Z-scores as a data quality assessment tool using the 2006 WHO growth standards: a cross country analysis. Bull World Health Organ. 2007;85(6):441–8.CrossRefPubMedPubMedCentral
27.
go back to reference de Onis M, Onyango A, Borghi E, Siyam A, Blossner M, Lutter C, WHO Multicentre Growth Reference Study Group. Worldwide implementation of the WHO Child Growth Standards. Public Health Nutr. 2012;15(9):1603–10.CrossRefPubMed de Onis M, Onyango A, Borghi E, Siyam A, Blossner M, Lutter C, WHO Multicentre Growth Reference Study Group. Worldwide implementation of the WHO Child Growth Standards. Public Health Nutr. 2012;15(9):1603–10.CrossRefPubMed
28.
go back to reference Hoddinott J, Maluccio JA, Behrman JR, Flores R, Martorell R. Effect of a nutrition intervention during early childhood on economic productivity in Guatemalan adults. Lancet. 2008;371(9610):411–6.CrossRefPubMed Hoddinott J, Maluccio JA, Behrman JR, Flores R, Martorell R. Effect of a nutrition intervention during early childhood on economic productivity in Guatemalan adults. Lancet. 2008;371(9610):411–6.CrossRefPubMed
30.
go back to reference Peng J, Müller H. Distance-Based Clustering of Sparsely Observed Stochastic Processes, with Applications to Online Auctions. Ann Appl Stat. 2008;2(3):1056–77.CrossRef Peng J, Müller H. Distance-Based Clustering of Sparsely Observed Stochastic Processes, with Applications to Online Auctions. Ann Appl Stat. 2008;2(3):1056–77.CrossRef
31.
go back to reference Müller H. Functional modeling of longitudinal data. Longit Data Anal. 2008;1:223–52.CrossRef Müller H. Functional modeling of longitudinal data. Longit Data Anal. 2008;1:223–52.CrossRef
32.
go back to reference Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc B Methodol. 1995;57(1):289–300. Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc B Methodol. 1995;57(1):289–300.
33.
go back to reference Shields B, Wacogne I, Wright CM. Weight faltering and failure to thrive in infancy and early childhood. BMJ. 2012;345:e5931.CrossRefPubMed Shields B, Wacogne I, Wright CM. Weight faltering and failure to thrive in infancy and early childhood. BMJ. 2012;345:e5931.CrossRefPubMed
34.
go back to reference Black MM, Dubowitz H, Krishnakumar A, Starr Jr RH. Early intervention and recovery among children with failure to thrive: follow-up at age 8. Pediatrics. 2007;120(1):59–69.CrossRefPubMed Black MM, Dubowitz H, Krishnakumar A, Starr Jr RH. Early intervention and recovery among children with failure to thrive: follow-up at age 8. Pediatrics. 2007;120(1):59–69.CrossRefPubMed
35.
go back to reference Marchand V, Canadian Paediatric Society, Nutrition and Gastroenterology Committee. The toddler who is falling off the growth chart. J Paediatr Child Health. 2012;17(8):447–54. Marchand V, Canadian Paediatric Society, Nutrition and Gastroenterology Committee. The toddler who is falling off the growth chart. J Paediatr Child Health. 2012;17(8):447–54.
36.
go back to reference Bryce J, Coitinho D, Darnton-Hill I, Pelletier D, Pinstrup-Andersen P, Maternal and Child Undernutrition Study Group. Maternal and child undernutrition: effective action at national level. Lancet. 2008;371(9611):510–26.CrossRefPubMed Bryce J, Coitinho D, Darnton-Hill I, Pelletier D, Pinstrup-Andersen P, Maternal and Child Undernutrition Study Group. Maternal and child undernutrition: effective action at national level. Lancet. 2008;371(9611):510–26.CrossRefPubMed
37.
go back to reference Black RE, Victora CG, Walker SP, Bhutta ZA, Christian P, de Onis M, Ezzati M, Grantham-McGregor S, Katz J, Martorell R, Uauy R, Maternal and Child Nutrition Study Group. Maternal and child undernutrition and overweight in low-income and middle-income countries. Lancet. 2013;382(9890):427–51.CrossRefPubMed Black RE, Victora CG, Walker SP, Bhutta ZA, Christian P, de Onis M, Ezzati M, Grantham-McGregor S, Katz J, Martorell R, Uauy R, Maternal and Child Nutrition Study Group. Maternal and child undernutrition and overweight in low-income and middle-income countries. Lancet. 2013;382(9890):427–51.CrossRefPubMed
38.
39.
go back to reference de Onis M. Timing of growth faltering: a critical window for healthy growth. Indian Pediatr. 2011;48(11):851–2.CrossRefPubMed de Onis M. Timing of growth faltering: a critical window for healthy growth. Indian Pediatr. 2011;48(11):851–2.CrossRefPubMed
Metadata
Title
Characterizing early child growth patterns of height-for-age in an urban slum cohort of Bangladesh with functional principal component analysis
Authors
Yin Zhang
Jianhui Zhou
Feiyang Niu
Jeffrey R. Donowitz
Rashidul Haque
William A. Petri Jr
Jennie Z. Ma
Publication date
01-12-2017
Publisher
BioMed Central
Published in
BMC Pediatrics / Issue 1/2017
Electronic ISSN: 1471-2431
DOI
https://doi.org/10.1186/s12887-017-0831-y

Other articles of this Issue 1/2017

BMC Pediatrics 1/2017 Go to the issue