Sociodemographic predictors of early postnatal growth: evidence from a Chilean infancy cohort

Objectives Infant anthropometric growth varies across socioeconomic factors, including maternal education and income, and may serve as an indicator of environmental influences in early life with long-term health consequences. Previous research has identified sociodemographic gradients in growth with...

Full description

Bibliographic Details
Main Authors: Annie Green Howard, Kari E North, Estela Blanco, Sheila Gahagan, Betsy Lozoff, Ann Von Holle, Raquel A Burrows, Anne Justice, Misa Graff, Venkata Saroja Voruganti
Format: Article
Language:English
Published: BMJ Publishing Group 2020-06-01
Series:BMJ Open
Online Access:https://bmjopen.bmj.com/content/10/6/e033695.full
_version_ 1828977373622566912
author Annie Green Howard
Kari E North
Estela Blanco
Sheila Gahagan
Betsy Lozoff
Ann Von Holle
Raquel A Burrows
Anne Justice
Misa Graff
Venkata Saroja Voruganti
author_facet Annie Green Howard
Kari E North
Estela Blanco
Sheila Gahagan
Betsy Lozoff
Ann Von Holle
Raquel A Burrows
Anne Justice
Misa Graff
Venkata Saroja Voruganti
author_sort Annie Green Howard
collection DOAJ
description Objectives Infant anthropometric growth varies across socioeconomic factors, including maternal education and income, and may serve as an indicator of environmental influences in early life with long-term health consequences. Previous research has identified sociodemographic gradients in growth with a focus on the first year and beyond, but estimates are sparse for growth before 6 months. Thus, our objective was to examine the relationship between sociodemographic factors and infant growth patterns between birth and 5 months of age.Design Prospective cohort study.Settings Low-income to middle-income neighbourhoods in Santiago, Chile (1991–1996).Participants 1412 participants from a randomised iron-deficiency anaemia preventive trial in healthy infants.Main outcome measures Longitudinal anthropometrics including monthly weight (kg), length (cm) and weight-for-length (WFL) values. For each measure, we estimated three individual-level growth parameters (size, timing and velocity) from SuperImposition by Translation and Rotation models. Size and timing changes represent vertical and horizontal growth curve shifts, respectively, and velocity change represents growth rate shifts. We estimated the linear association between growth parameters and gestational age, maternal age, education and socioeconomic position (SEP).Results Lower SEP was associated with a slower linear (length) velocity growth parameter (−0.22, 95% CI –0.31 to –0.13)—outcome units are per cent change in velocity from the average growth curve. Lower SEP was associated with later WFL growth timing as demonstrated through the tempo growth parameter for females (0.25, 95% CI 0.05 to 0.42)—outcome units are shifts in days from the average growth curve. We found no evidence of associations between SEP and the weight size, timing or velocity growth rate parameters.Conclusion Previous research on growth in older infants and children shows associations between lower SEP with slower length velocity. We found evidence supporting this association in the first 5 months of life, which may inform age-specific prevention efforts aimed at infant length growth.
first_indexed 2024-12-14T14:55:58Z
format Article
id doaj.art-7c92495ceb084945bc37f2e9e2771f95
institution Directory Open Access Journal
issn 2044-6055
language English
last_indexed 2024-12-14T14:55:58Z
publishDate 2020-06-01
publisher BMJ Publishing Group
record_format Article
series BMJ Open
spelling doaj.art-7c92495ceb084945bc37f2e9e2771f952022-12-21T22:56:58ZengBMJ Publishing GroupBMJ Open2044-60552020-06-0110610.1136/bmjopen-2019-033695Sociodemographic predictors of early postnatal growth: evidence from a Chilean infancy cohortAnnie Green Howard0Kari E NorthEstela Blanco1Sheila Gahagan2Betsy LozoffAnn Von Holle3Raquel A Burrows4Anne Justice5Misa Graff6Venkata Saroja Voruganti74 Department of Biostatistics, University of North Carolina at Chapel Hill Gillings School of Global Public Health, Chapel Hill, North Carolina, USA 2 Child Development and Community Health Division, University of California San Diego, La Jolla, California, USA2 Child Development and Community Health Division, University of California San Diego, La Jolla, California, USADepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USAInstitute of Nutrition and Food Technology, University of Chile, Santiago, ChileCenter for Biomedical and Translational Informatics, Geisinger Health, Danville, Pennsylvania, USADepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USADepartment of Nutrition and UNC Nutrition Research Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USAObjectives Infant anthropometric growth varies across socioeconomic factors, including maternal education and income, and may serve as an indicator of environmental influences in early life with long-term health consequences. Previous research has identified sociodemographic gradients in growth with a focus on the first year and beyond, but estimates are sparse for growth before 6 months. Thus, our objective was to examine the relationship between sociodemographic factors and infant growth patterns between birth and 5 months of age.Design Prospective cohort study.Settings Low-income to middle-income neighbourhoods in Santiago, Chile (1991–1996).Participants 1412 participants from a randomised iron-deficiency anaemia preventive trial in healthy infants.Main outcome measures Longitudinal anthropometrics including monthly weight (kg), length (cm) and weight-for-length (WFL) values. For each measure, we estimated three individual-level growth parameters (size, timing and velocity) from SuperImposition by Translation and Rotation models. Size and timing changes represent vertical and horizontal growth curve shifts, respectively, and velocity change represents growth rate shifts. We estimated the linear association between growth parameters and gestational age, maternal age, education and socioeconomic position (SEP).Results Lower SEP was associated with a slower linear (length) velocity growth parameter (−0.22, 95% CI –0.31 to –0.13)—outcome units are per cent change in velocity from the average growth curve. Lower SEP was associated with later WFL growth timing as demonstrated through the tempo growth parameter for females (0.25, 95% CI 0.05 to 0.42)—outcome units are shifts in days from the average growth curve. We found no evidence of associations between SEP and the weight size, timing or velocity growth rate parameters.Conclusion Previous research on growth in older infants and children shows associations between lower SEP with slower length velocity. We found evidence supporting this association in the first 5 months of life, which may inform age-specific prevention efforts aimed at infant length growth.https://bmjopen.bmj.com/content/10/6/e033695.full
spellingShingle Annie Green Howard
Kari E North
Estela Blanco
Sheila Gahagan
Betsy Lozoff
Ann Von Holle
Raquel A Burrows
Anne Justice
Misa Graff
Venkata Saroja Voruganti
Sociodemographic predictors of early postnatal growth: evidence from a Chilean infancy cohort
BMJ Open
title Sociodemographic predictors of early postnatal growth: evidence from a Chilean infancy cohort
title_full Sociodemographic predictors of early postnatal growth: evidence from a Chilean infancy cohort
title_fullStr Sociodemographic predictors of early postnatal growth: evidence from a Chilean infancy cohort
title_full_unstemmed Sociodemographic predictors of early postnatal growth: evidence from a Chilean infancy cohort
title_short Sociodemographic predictors of early postnatal growth: evidence from a Chilean infancy cohort
title_sort sociodemographic predictors of early postnatal growth evidence from a chilean infancy cohort
url https://bmjopen.bmj.com/content/10/6/e033695.full
work_keys_str_mv AT anniegreenhoward sociodemographicpredictorsofearlypostnatalgrowthevidencefromachileaninfancycohort
AT karienorth sociodemographicpredictorsofearlypostnatalgrowthevidencefromachileaninfancycohort
AT estelablanco sociodemographicpredictorsofearlypostnatalgrowthevidencefromachileaninfancycohort
AT sheilagahagan sociodemographicpredictorsofearlypostnatalgrowthevidencefromachileaninfancycohort
AT betsylozoff sociodemographicpredictorsofearlypostnatalgrowthevidencefromachileaninfancycohort
AT annvonholle sociodemographicpredictorsofearlypostnatalgrowthevidencefromachileaninfancycohort
AT raquelaburrows sociodemographicpredictorsofearlypostnatalgrowthevidencefromachileaninfancycohort
AT annejustice sociodemographicpredictorsofearlypostnatalgrowthevidencefromachileaninfancycohort
AT misagraff sociodemographicpredictorsofearlypostnatalgrowthevidencefromachileaninfancycohort
AT venkatasarojavoruganti sociodemographicpredictorsofearlypostnatalgrowthevidencefromachileaninfancycohort