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Do Early Infant Feeding Practices and Modifiable Household Behaviors Contribute to Age-Specific Interindividual Variations in Infant Linear Growth? Evidence from a Birth Cohort in Dhaka, Bangladesh

BACKGROUND: Causes of infant linear growth faltering in low-income settings remain poorly understood. Identifying age-specific risk factors in observational studies might be influenced by statistical model selection. OBJECTIVES: To estimate associations of selected household factors and infant feedi...

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Autores principales: Silverberg, Sarah L, Qamar, Huma, Keya, Farhana K, Shanta, Shaila S, Islam, M Munirul, Ahmed, Tahmeed, Shi, Joy, Hamer, Davidson H, Zlotkin, Stanley, Mahmud, Abdullah Al, Roth, Daniel E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8163422/
https://www.ncbi.nlm.nih.gov/pubmed/34084995
http://dx.doi.org/10.1093/cdn/nzab077
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author Silverberg, Sarah L
Qamar, Huma
Keya, Farhana K
Shanta, Shaila S
Islam, M Munirul
Ahmed, Tahmeed
Shi, Joy
Hamer, Davidson H
Zlotkin, Stanley
Mahmud, Abdullah Al
Roth, Daniel E
author_facet Silverberg, Sarah L
Qamar, Huma
Keya, Farhana K
Shanta, Shaila S
Islam, M Munirul
Ahmed, Tahmeed
Shi, Joy
Hamer, Davidson H
Zlotkin, Stanley
Mahmud, Abdullah Al
Roth, Daniel E
author_sort Silverberg, Sarah L
collection PubMed
description BACKGROUND: Causes of infant linear growth faltering in low-income settings remain poorly understood. Identifying age-specific risk factors in observational studies might be influenced by statistical model selection. OBJECTIVES: To estimate associations of selected household factors and infant feeding behaviors within discrete age intervals with interval-specific changes in length-for-age z-scores (LAZs) or attained LAZ, using 5 statistical approaches. METHODS: Data from a birth cohort in Dhaka, Bangladesh (n = 1157) were analyzed. Multivariable-adjusted associations of infant feeding patterns or household factors with conditional LAZ (cLAZ) were estimated for 5 intervals in infancy. Two alternative approaches were used to estimate differences in interval changes in LAZ, and differences in end-interval attained LAZ and RRs of stunting (LAZ < −2) were estimated. RESULTS: LAZ was symmetrically distributed with mean ± SD = −0.95 ± 1.02 at birth and −1.00 ± 1.04 at 12 mo. Compared with exclusively breastfed infants, partial breastfeeding (difference in cLAZ: −0.11; 95% CI: −0.20, −0.02) or no breastfeeding (−0.30; 95% CI: −0.54, −0.07) were associated with slower growth from 0 to 3 mo. However, associations were not sustained beyond 6 mo. Modifiable household factors (smoking, water treatment, soap at handwashing station) were not associated with infant growth, attained size, or stunting. Alternative statistical approaches yielded mostly similar results as conditional growth models. CONCLUSIONS: The entire infant LAZ distribution was shifted down, indicating that length deficits were mostly caused by ubiquitous or community-level factors. Early-infant feeding practices explained minimal variation in early growth, and associations were not sustained to 12 mo of age. Statistical model choice did not substantially alter the conclusions. Modifications of household hygiene, smoking, or early infant feeding practices would be unlikely to improve infant linear growth in Bangladesh or other settings where growth faltering is widespread.
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spelling pubmed-81634222021-06-02 Do Early Infant Feeding Practices and Modifiable Household Behaviors Contribute to Age-Specific Interindividual Variations in Infant Linear Growth? Evidence from a Birth Cohort in Dhaka, Bangladesh Silverberg, Sarah L Qamar, Huma Keya, Farhana K Shanta, Shaila S Islam, M Munirul Ahmed, Tahmeed Shi, Joy Hamer, Davidson H Zlotkin, Stanley Mahmud, Abdullah Al Roth, Daniel E Curr Dev Nutr ORIGINAL RESEARCH BACKGROUND: Causes of infant linear growth faltering in low-income settings remain poorly understood. Identifying age-specific risk factors in observational studies might be influenced by statistical model selection. OBJECTIVES: To estimate associations of selected household factors and infant feeding behaviors within discrete age intervals with interval-specific changes in length-for-age z-scores (LAZs) or attained LAZ, using 5 statistical approaches. METHODS: Data from a birth cohort in Dhaka, Bangladesh (n = 1157) were analyzed. Multivariable-adjusted associations of infant feeding patterns or household factors with conditional LAZ (cLAZ) were estimated for 5 intervals in infancy. Two alternative approaches were used to estimate differences in interval changes in LAZ, and differences in end-interval attained LAZ and RRs of stunting (LAZ < −2) were estimated. RESULTS: LAZ was symmetrically distributed with mean ± SD = −0.95 ± 1.02 at birth and −1.00 ± 1.04 at 12 mo. Compared with exclusively breastfed infants, partial breastfeeding (difference in cLAZ: −0.11; 95% CI: −0.20, −0.02) or no breastfeeding (−0.30; 95% CI: −0.54, −0.07) were associated with slower growth from 0 to 3 mo. However, associations were not sustained beyond 6 mo. Modifiable household factors (smoking, water treatment, soap at handwashing station) were not associated with infant growth, attained size, or stunting. Alternative statistical approaches yielded mostly similar results as conditional growth models. CONCLUSIONS: The entire infant LAZ distribution was shifted down, indicating that length deficits were mostly caused by ubiquitous or community-level factors. Early-infant feeding practices explained minimal variation in early growth, and associations were not sustained to 12 mo of age. Statistical model choice did not substantially alter the conclusions. Modifications of household hygiene, smoking, or early infant feeding practices would be unlikely to improve infant linear growth in Bangladesh or other settings where growth faltering is widespread. Oxford University Press 2021-04-30 /pmc/articles/PMC8163422/ /pubmed/34084995 http://dx.doi.org/10.1093/cdn/nzab077 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the American Society for Nutrition. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle ORIGINAL RESEARCH
Silverberg, Sarah L
Qamar, Huma
Keya, Farhana K
Shanta, Shaila S
Islam, M Munirul
Ahmed, Tahmeed
Shi, Joy
Hamer, Davidson H
Zlotkin, Stanley
Mahmud, Abdullah Al
Roth, Daniel E
Do Early Infant Feeding Practices and Modifiable Household Behaviors Contribute to Age-Specific Interindividual Variations in Infant Linear Growth? Evidence from a Birth Cohort in Dhaka, Bangladesh
title Do Early Infant Feeding Practices and Modifiable Household Behaviors Contribute to Age-Specific Interindividual Variations in Infant Linear Growth? Evidence from a Birth Cohort in Dhaka, Bangladesh
title_full Do Early Infant Feeding Practices and Modifiable Household Behaviors Contribute to Age-Specific Interindividual Variations in Infant Linear Growth? Evidence from a Birth Cohort in Dhaka, Bangladesh
title_fullStr Do Early Infant Feeding Practices and Modifiable Household Behaviors Contribute to Age-Specific Interindividual Variations in Infant Linear Growth? Evidence from a Birth Cohort in Dhaka, Bangladesh
title_full_unstemmed Do Early Infant Feeding Practices and Modifiable Household Behaviors Contribute to Age-Specific Interindividual Variations in Infant Linear Growth? Evidence from a Birth Cohort in Dhaka, Bangladesh
title_short Do Early Infant Feeding Practices and Modifiable Household Behaviors Contribute to Age-Specific Interindividual Variations in Infant Linear Growth? Evidence from a Birth Cohort in Dhaka, Bangladesh
title_sort do early infant feeding practices and modifiable household behaviors contribute to age-specific interindividual variations in infant linear growth? evidence from a birth cohort in dhaka, bangladesh
topic ORIGINAL RESEARCH
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8163422/
https://www.ncbi.nlm.nih.gov/pubmed/34084995
http://dx.doi.org/10.1093/cdn/nzab077
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