Maternal and paternal employment in agriculture and early childhood development: A cross-sectional analysis of demographic and health survey data

Considerable literature from low- and lower-middle-income countries (LLMICs) links maternal employment to child nutritional status. However, less is known about the role of parental employment and occupation type in shaping child development outcomes. Additionally, little empirical work has examined...

Full description

Bibliographic Details
Main Authors: Bliznashka, Lilia, Jeong, Joshua, Jaacks, Lindsay M.
Format: Journal Article
Language:Inglés
Published: 2023
Subjects:
Online Access:https://hdl.handle.net/10568/140005
_version_ 1855535383049142272
author Bliznashka, Lilia
Jeong, Joshua
Jaacks, Lindsay M.
author_browse Bliznashka, Lilia
Jaacks, Lindsay M.
Jeong, Joshua
author_facet Bliznashka, Lilia
Jeong, Joshua
Jaacks, Lindsay M.
author_sort Bliznashka, Lilia
collection Repository of Agricultural Research Outputs (CGSpace)
description Considerable literature from low- and lower-middle-income countries (LLMICs) links maternal employment to child nutritional status. However, less is known about the role of parental employment and occupation type in shaping child development outcomes. Additionally, little empirical work has examined the mechanisms through which parental occupation influences child outcomes. Our objective was to investigate the associations between maternal and paternal employment (comparing agricultural and non-agricultural employment) and child development and to examine childcare practices and women’s empowerment as potential mechanisms. We pooled nine Demographic and Health Surveys (Benin, Burundi, Cambodia, Congo, Haiti, Rwanda, Senegal, Togo, and Uganda) with data on 8,516 children aged 36–59 months. We used generalised linear models to estimate associations between parental employment and child development, child stimulation (number of activities provided by the mother, father, and other household members), child supervision (not left alone or with older child for >1 hour), early childhood care and education programme (ECCE) attendance, and women’s empowerment. In our sample, all fathers and 85% of mothers were employed. In 40% of families, both parents were employed in agriculture. After adjusting for child, parental and household confounders, we found that parental agricultural employment, relative to non-agricultural employment, was associated with poorer child development (relative risk (RR) 0.86 (95% CI 0.80, 0.92), more child stimulation provided by other household members (mean difference (MD) 0.26 (95% CI 0.09, 0.42)), less adequate child supervision (RR, 0.83 (95% 0.78, 0.80)), less ECCE attendance (RR 0.46 (95% CI 0.39, 0.54)), and lower women’s empowerment (MD -1.01 (95% CI -1.18, -0.84)). Parental agricultural employment may be an important risk factor for early childhood development. More research using more comprehensive exposure and outcome measures is needed to unpack these complex relationships and to inform interventions and policies to support working parents in the agricultural sector with young children.
format Journal Article
id CGSpace140005
institution CGIAR Consortium
language Inglés
publishDate 2023
publishDateRange 2023
publishDateSort 2023
record_format dspace
spelling CGSpace1400052025-10-28T10:12:08Z Maternal and paternal employment in agriculture and early childhood development: A cross-sectional analysis of demographic and health survey data Bliznashka, Lilia Jeong, Joshua Jaacks, Lindsay M. maternal and child health education gender women's empowerment less favoured areas child development employment households agriculture nutrition risk women Considerable literature from low- and lower-middle-income countries (LLMICs) links maternal employment to child nutritional status. However, less is known about the role of parental employment and occupation type in shaping child development outcomes. Additionally, little empirical work has examined the mechanisms through which parental occupation influences child outcomes. Our objective was to investigate the associations between maternal and paternal employment (comparing agricultural and non-agricultural employment) and child development and to examine childcare practices and women’s empowerment as potential mechanisms. We pooled nine Demographic and Health Surveys (Benin, Burundi, Cambodia, Congo, Haiti, Rwanda, Senegal, Togo, and Uganda) with data on 8,516 children aged 36–59 months. We used generalised linear models to estimate associations between parental employment and child development, child stimulation (number of activities provided by the mother, father, and other household members), child supervision (not left alone or with older child for >1 hour), early childhood care and education programme (ECCE) attendance, and women’s empowerment. In our sample, all fathers and 85% of mothers were employed. In 40% of families, both parents were employed in agriculture. After adjusting for child, parental and household confounders, we found that parental agricultural employment, relative to non-agricultural employment, was associated with poorer child development (relative risk (RR) 0.86 (95% CI 0.80, 0.92), more child stimulation provided by other household members (mean difference (MD) 0.26 (95% CI 0.09, 0.42)), less adequate child supervision (RR, 0.83 (95% 0.78, 0.80)), less ECCE attendance (RR 0.46 (95% CI 0.39, 0.54)), and lower women’s empowerment (MD -1.01 (95% CI -1.18, -0.84)). Parental agricultural employment may be an important risk factor for early childhood development. More research using more comprehensive exposure and outcome measures is needed to unpack these complex relationships and to inform interventions and policies to support working parents in the agricultural sector with young children. 2023-01-06 2024-03-14T12:08:49Z 2024-03-14T12:08:49Z Journal Article https://hdl.handle.net/10568/140005 en Open Access Bliznashka, Lilia; Jeong, Joshua; and Jaacks, Lindsay M. 2023. Maternal and paternal employment in agriculture and early childhood development: A cross-sectional analysis of demographic and health survey data. Plos Global Public Health 3(1): e0001116. https://doi.org/10.1371/journal.pgph.0001116
spellingShingle maternal and child health
education
gender
women's empowerment
less favoured areas
child development
employment
households
agriculture
nutrition
risk
women
Bliznashka, Lilia
Jeong, Joshua
Jaacks, Lindsay M.
Maternal and paternal employment in agriculture and early childhood development: A cross-sectional analysis of demographic and health survey data
title Maternal and paternal employment in agriculture and early childhood development: A cross-sectional analysis of demographic and health survey data
title_full Maternal and paternal employment in agriculture and early childhood development: A cross-sectional analysis of demographic and health survey data
title_fullStr Maternal and paternal employment in agriculture and early childhood development: A cross-sectional analysis of demographic and health survey data
title_full_unstemmed Maternal and paternal employment in agriculture and early childhood development: A cross-sectional analysis of demographic and health survey data
title_short Maternal and paternal employment in agriculture and early childhood development: A cross-sectional analysis of demographic and health survey data
title_sort maternal and paternal employment in agriculture and early childhood development a cross sectional analysis of demographic and health survey data
topic maternal and child health
education
gender
women's empowerment
less favoured areas
child development
employment
households
agriculture
nutrition
risk
women
url https://hdl.handle.net/10568/140005
work_keys_str_mv AT bliznashkalilia maternalandpaternalemploymentinagricultureandearlychildhooddevelopmentacrosssectionalanalysisofdemographicandhealthsurveydata
AT jeongjoshua maternalandpaternalemploymentinagricultureandearlychildhooddevelopmentacrosssectionalanalysisofdemographicandhealthsurveydata
AT jaackslindsaym maternalandpaternalemploymentinagricultureandearlychildhooddevelopmentacrosssectionalanalysisofdemographicandhealthsurveydata