Cargando…

The role of sociodemographic and psychosocial variables in early childhood development: A secondary data analysis of the 2014 and 2019 Multiple Indicator Cluster Surveys in the Dominican Republic

The association between sociodemographic factors—poverty, lack of maternal schooling, being male at birth—, childhood developmental delay, and poor educational outcomes has been established in the Dominican Republic (DR). However, family moderating factors present or introduced to buffer sociodemogr...

Descripción completa

Detalles Bibliográficos
Autores principales: Sánchez-Vincitore, Laura V., Castro, Arachu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021185/
https://www.ncbi.nlm.nih.gov/pubmed/36962194
http://dx.doi.org/10.1371/journal.pgph.0000465
_version_ 1784908422022430720
author Sánchez-Vincitore, Laura V.
Castro, Arachu
author_facet Sánchez-Vincitore, Laura V.
Castro, Arachu
author_sort Sánchez-Vincitore, Laura V.
collection PubMed
description The association between sociodemographic factors—poverty, lack of maternal schooling, being male at birth—, childhood developmental delay, and poor educational outcomes has been established in the Dominican Republic (DR). However, family moderating factors present or introduced to buffer sociodemographic factors effects on early childhood development (ECD) are still unknown. We conducted a secondary analysis of the DR’s 2014 and 2019 Multiple Indicator Cluster Surveys. We had four study aims: 1) confirm the relationship between socioeconomic position (SP), parenting practices, and ECD; 2) determine if a sociodemographic model predicted ECD; 3) determine if a psychosocial model (family childrearing practices, discipline, and early childhood stimulation) predicted ECD above and beyond the sociodemographic model; 4) explore mothers’ beliefs about physical punishment and its relationship with ECD and psychosocial variables. We found that both models predicted ECD significantly, but the psychosocial model explained more variance than the sociodemographic model (6.3% in 2014 and 4.4% in 2019). The most relevant sociodemographic predictors were SP (explaining 21.6% of ECD variance in 2014 and 18.6% in 2019) and mother’s education (explaining 13.9% in 2014 and 14.1% in 2019). The most salient ECD psychosocial predictors were: negative discipline, number of children’s books at home, stimulating activities at home, and attendance to an early childhood education program. The predicting weights of the independent variables were similar for both years. These results have multiple implications for social programs that aim to improve children’s potential in contexts of poverty. Although the results show a protective effect of psychosocial factors, sustainable and large-scale interventions should not be limited to just buffering effects, but to solve the underlying problem, which is that poverty prevents children from reaching their developmental potential and exposes them to life-long greater risk for chronic disease. Addressing delays early in life can therefore contribute to achieving health equity.
format Online
Article
Text
id pubmed-10021185
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-100211852023-03-17 The role of sociodemographic and psychosocial variables in early childhood development: A secondary data analysis of the 2014 and 2019 Multiple Indicator Cluster Surveys in the Dominican Republic Sánchez-Vincitore, Laura V. Castro, Arachu PLOS Glob Public Health Research Article The association between sociodemographic factors—poverty, lack of maternal schooling, being male at birth—, childhood developmental delay, and poor educational outcomes has been established in the Dominican Republic (DR). However, family moderating factors present or introduced to buffer sociodemographic factors effects on early childhood development (ECD) are still unknown. We conducted a secondary analysis of the DR’s 2014 and 2019 Multiple Indicator Cluster Surveys. We had four study aims: 1) confirm the relationship between socioeconomic position (SP), parenting practices, and ECD; 2) determine if a sociodemographic model predicted ECD; 3) determine if a psychosocial model (family childrearing practices, discipline, and early childhood stimulation) predicted ECD above and beyond the sociodemographic model; 4) explore mothers’ beliefs about physical punishment and its relationship with ECD and psychosocial variables. We found that both models predicted ECD significantly, but the psychosocial model explained more variance than the sociodemographic model (6.3% in 2014 and 4.4% in 2019). The most relevant sociodemographic predictors were SP (explaining 21.6% of ECD variance in 2014 and 18.6% in 2019) and mother’s education (explaining 13.9% in 2014 and 14.1% in 2019). The most salient ECD psychosocial predictors were: negative discipline, number of children’s books at home, stimulating activities at home, and attendance to an early childhood education program. The predicting weights of the independent variables were similar for both years. These results have multiple implications for social programs that aim to improve children’s potential in contexts of poverty. Although the results show a protective effect of psychosocial factors, sustainable and large-scale interventions should not be limited to just buffering effects, but to solve the underlying problem, which is that poverty prevents children from reaching their developmental potential and exposes them to life-long greater risk for chronic disease. Addressing delays early in life can therefore contribute to achieving health equity. Public Library of Science 2022-07-19 /pmc/articles/PMC10021185/ /pubmed/36962194 http://dx.doi.org/10.1371/journal.pgph.0000465 Text en © 2022 Sánchez-Vincitore, Castro https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Sánchez-Vincitore, Laura V.
Castro, Arachu
The role of sociodemographic and psychosocial variables in early childhood development: A secondary data analysis of the 2014 and 2019 Multiple Indicator Cluster Surveys in the Dominican Republic
title The role of sociodemographic and psychosocial variables in early childhood development: A secondary data analysis of the 2014 and 2019 Multiple Indicator Cluster Surveys in the Dominican Republic
title_full The role of sociodemographic and psychosocial variables in early childhood development: A secondary data analysis of the 2014 and 2019 Multiple Indicator Cluster Surveys in the Dominican Republic
title_fullStr The role of sociodemographic and psychosocial variables in early childhood development: A secondary data analysis of the 2014 and 2019 Multiple Indicator Cluster Surveys in the Dominican Republic
title_full_unstemmed The role of sociodemographic and psychosocial variables in early childhood development: A secondary data analysis of the 2014 and 2019 Multiple Indicator Cluster Surveys in the Dominican Republic
title_short The role of sociodemographic and psychosocial variables in early childhood development: A secondary data analysis of the 2014 and 2019 Multiple Indicator Cluster Surveys in the Dominican Republic
title_sort role of sociodemographic and psychosocial variables in early childhood development: a secondary data analysis of the 2014 and 2019 multiple indicator cluster surveys in the dominican republic
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021185/
https://www.ncbi.nlm.nih.gov/pubmed/36962194
http://dx.doi.org/10.1371/journal.pgph.0000465
work_keys_str_mv AT sanchezvincitorelaurav theroleofsociodemographicandpsychosocialvariablesinearlychildhooddevelopmentasecondarydataanalysisofthe2014and2019multipleindicatorclustersurveysinthedominicanrepublic
AT castroarachu theroleofsociodemographicandpsychosocialvariablesinearlychildhooddevelopmentasecondarydataanalysisofthe2014and2019multipleindicatorclustersurveysinthedominicanrepublic
AT sanchezvincitorelaurav roleofsociodemographicandpsychosocialvariablesinearlychildhooddevelopmentasecondarydataanalysisofthe2014and2019multipleindicatorclustersurveysinthedominicanrepublic
AT castroarachu roleofsociodemographicandpsychosocialvariablesinearlychildhooddevelopmentasecondarydataanalysisofthe2014and2019multipleindicatorclustersurveysinthedominicanrepublic