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"CHILD LABOR"
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Relationship of parental caregiving and child labour with developmental problems and mental health in children in low-to-middle-income countries using the socioecological resilience model
Background
The socioecological resilience (SER) model explains that individual, relational, and structural factors influence child development and mental health. Children in low-to middle-income countries (LMICs) are affected by multiple risk factors on different SER levels. This cross-sectional study aimed assess the influence of experience of child labour and poor caregiving practices on child development in LMICs using the SER model.
Method
Data regarding child development, caregiving practices, and child labour collected through Multiple Indicator Cluster Surveys (MICS) by UNICEF were analysed. Differences in prevalence of developmental delays, mental illness, child labour, and poor caregiving practices were compared across countries and across different sociodemographic index (SDI) levels. Multi-level modelling was used to determine factors associated with developmental difficulties, and anxiety, and depression symptoms in children.
Results
251,681 children were included in the analysis. Significant variations in child labour engagement existed across low to upper-middle SDI countries. Prevalence of anxiety (30.8%), depression (40.8%) and socio-emotional difficulties (mean score = 0.115) were highest in low SDI countries. Poor physical caregiving, engagement in child labour, and low maternal education was significantly associated with higher socio-emotional difficulties, anxiety, and depression.
Conclusion
To address the complex interplay between extreme poverty and adverse child health outcomes across low SDI countries, a multifaceted approach aimed at alleviating poverty, improving access to education, strengthening social protection systems, and promoting effective caregiving practices are required.
Journal Article
A Public health wound: health and work among children engaged in the worst forms of child labour in the informal sector in Dhaka, Bangladesh: a retrospective analysis of Médecins Sans Frontières occupational health data from 2014 to 2023
Background
Bangladesh has the second highest burden of child labour in South Asia. The informal sector employs most of the children however, data on health including injuries and place of work for children are limited. As the deadline for the Sustainable Development Goals to end child labour is upon us, it is paramount to document the impact of child labour on health. This study aims to contribute to this knowledge gap by presenting medical data from occupational health clinics (OHCs) set up by Médecins Sans Frontières (MSF) in a peri-urban area of Dhaka, Bangladesh.
Methods
We did a retrospective analysis of health care records of children attending MSF OHCs between February 2014 and December 2023. We stratified the analysis by sex and age (< 14 years and ≥ 14- < 18 years). We looked at morbidities according to type of factory, whether children reported working with machinery, and examined nutritional and mental health (2018–2023) status.
Results
Over the study period, there were 10,200 occupational health consultations among children < 18 years, of which 4945 were new/first time consultations. The average age of children attending their first consultation was 14.7 years, of which 61% were male. Fifteen percent reported living inside the factory. Children worked in all prohibited categories of the informal sector. Almost all children reported operating machinery. Musculoskeletal (26%) and dermatological (20%) were the most identified conditions, and 7.5% of consultations were for work-related injuries. A higher proportion of male children had injuries (11% vs 2.5% in girls). Children working in metal factories accounted for most injuries (65%). Mood-related disorders accounted for 86% of the 51 mental health consultations. Half of all children were malnourished with higher levels in boys and those < 14 years.
Conclusions
Findings suggest that children face hazardous realities; engaged in the worst form of labour, bearing important morbidity and injury burden, with vulnerabilities varying by sex and age. Despite their economic contributions to the informal sector, they remain largely invisible and exploited. This study highlights the urgent need for child rights-based research and cross-sectoral approaches that actively involve children to develop sustainable, targeted solutions to eliminate child labour.
Journal Article
Measuring Child Labor: The Who’s, the Where’s, the When’s, and the Why’s
Measuring child labor accurately is a major challenge: parents’ and children’s reports tend to differ dramatically, and there is typically no way to verify whose reports are truthful (if any). To overcome this challenge, this paper uses novel data from a cocoa certifier in Côte d’Ivoire that draws on satellite imagery to minimize under-reporting. Concretely, aerial photos allow them to select remote and hard-to-reach communities—where parents typically have not been sensitized by government or NGOs, averting social desirability biases—and to visit these communities while cocoa is being harvested—precisely when children in employment are very visible, making it easier for enumerators to impute it if parents still fail to report it. We compare their figures with those obtained from business-as-usual surveys with parents and children in these regions, and find that (1) reporting inconsistencies between parents and their children in fact decrease with household remoteness; (2) adults dramatically under-report child labor relative to the certifier data, by a factor of at least 60%; and (3) in turn, children self-reports are statistically identical to the latter. Taking advantage of an experiment that randomly assigned a text-message campaign to discourage child labor, we further show that parents’ reports not only underestimate its prevalence, but can even lead to the wrong conclusions about the effects of policy interventions.
Journal Article
Household Choices and Child Development
The growth in labour market participation among women with young children has raised concerns about its implications for child cognitive development. We estimate a model of the cognitive development process of children nested within an otherwise standard model of household behaviour. The household makes labour supply decisions and provides time and money inputs into the child quality production process during the development period. Our empirical results indicate that both parents' time inputs are important for the cognitive development of their children, particularly when the child is young. Money expenditures are less productive in terms of producing child quality. Comparative statics exercises demonstrate that cash transfers to households with children have small impacts on child quality due to the relatively low impact of money investments on child outcomes and the fact that a significant fraction of the transfer is spent on other household consumption and the leisure of the parents.
Journal Article
Child labor in the British Victorian entertainment industry : 1875-1914
\"The Victorian preoccupation with childhood fed a desire to see children perform. Quick to respond, theatrical entrepreneurs recruited thousands of girls and boys to work in the industry. Although exploited, beguiled by wages and the possibility of fame, children coveted the opportunities the stage offered. This book tells their story\"-- Provided by publisher.
Book
Breaking the cycle: long-term socio economic determinants of child labour in SAARC countries
Background
Child labour remains a critical issue in SAARC countries, driven by various socio-economic factors. While previous studies have explored individual determinants, limited research has been conducted on their collective long-term impact. Understanding how structural and economic conditions shape child labour trends is essential for designing effective policy interventions.
Methods
This study engages panel cointegration techniques to examine the long-term relationship between child labour and key socio-economic drivers in SAARC countries. It assesses the impact of education, access to healthcare, economic conditions, labour market dynamics, foreign investment, and urbanisation on the prevalence of child labour.
Results
The findings confirm a stable, long-term relationship between child labour and these determinants in each SAARC country. Improvements in education and health significantly reduce child labour. However, economic growth and urbanisation have complex, country-specific effects. Higher unemployment and increased FDI may also influence child labour, emphasising the need for targeted policy responses.
Conclusions
The study highlights the significance of ongoing investments in education and healthcare. Labour market reforms are crucial to mitigate the impact of unemployment, while inclusive economic policies ensure that growth benefits vulnerable populations. Targeted strategies for FDI and urbanisation are necessary to prevent unintended consequences on child labour. Combating child labour in SAARC countries requires a multi-sectoral approach. Regional collaboration is crucial for sharing best practices, developing unified strategies, and enhancing cross-border initiatives. Holistic policies integrating education, health, and economic planning are key to reducing child labour.
Journal Article