1School of Global Public Health, New York University, New York, NY, USA
2New York University Grossman School of Medicine, New York, NY, USA
3Department of Pediatrics, Yonsei University College of Medicine, Seoul, Republic of Korea
4Severance Underwood Meta-research Center, Institute of Convergence Science, Yonsei University, Seoul, Republic of Korea
5The Center for Medical Education Training and Professional Development, Yonsei Donggok Medical Education Institute, Seoul, Republic of Korea
6Institute for Global Engagement & Empowerment, Yonsei University, Seoul, Republic of Korea
7Centre for Health Performance and Wellbeing, Anglia Ruskin University, Cambridge, United Kingdom
© 2025 by the authors.
Submitted for possible open-access publication under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Funding
No financial support was provided for research conduct and/or preparation of the article.
Conflict of interests
This work was supported by the Yonsei Fellowship, funded by Lee Youn Jae (JIS). This project was undertaken within the framework of a research internship organized by the Severance Underwood Meta-research Center during the 2024 Yonsei International Summer School (Research Mentor: JAE IL SHIN).
Data Availability
The data supporting the findings of this review are based on previously published studies and publicly available data, as detailed in the references section.
| Author, Year | Study design | Main study findings |
|---|---|---|
| Ni et al., 2022 | Cross-sectional study in China | Children from low-income families were more likely to be diagnosed with cancer and had less access to appropriate treatment compared with wealthier peers. |
| Costa et al., 2022 | Multi-country household surveys in Latin America and the Caribbean | Afro-descendant children consistently showed poorer nutrition and well-being than non-Afro-descendants. |
| Musheiguza et al., 2021 | Cross-sectional survey in Tanzania | Disadvantaged households had higher rates of stunting in under-five children. |
| Ng & Evans, 2021 | Retrospective cohort study in the United Kingdom | Minority ethnic children with type 1 diabetes had worse HbA1c than white children, with inequalities widening. |
| Bardid et al., 2022 | Population-based study in Scotland | Children from disadvantaged families engaged less in physical activity. |
| Stahlmann et al., 2022 | Cross-sectional study in Germany | Poorer areas with fewer social facilities showed more frequent child mental health difficulties. |
| Ball et al., 2023 | Administrative records analysis in Scotland | Prescriptions and referrals for mental health were disproportionately higher among children from deprived areas. |
| Melchior, 2021 | Review/editorial in Europe | Socioeconomic inequalities in child mental health are long-standing and appear to be widening. |
| Author, Year | Study design | Main study findings |
|---|---|---|
| Takeuchi et al., 2024 | National cohort study in Japan | Infant mortality and adolescent suicide increased among low-income families, while higher-income households were less affected. |
| Maximova et al., 2023 | Cross-sectional study in Canada | Socioeconomic gaps in children’s diet and physical activity widened during the pandemic. |
| Geweniger et al., 2022 | Cross-sectional survey in Germany | Disadvantaged children had fewer opportunities for healthy behaviors and faced greater barriers to healthcare access during the pandemic. |
| Lorthe et al., 2023 | Population-based cohort in France | Socioeconomic disadvantage was associated with greater barriers to maternal and child healthcare during COVID-19. |
| Miall et al., 2023 | Longitudinal cohort in the United Kingdom | Mental health worsened in children aged 5–8 during the pandemic, although some disparities narrowed. |
| Weyers et al., 2023 | Population-based cohort in Europe | Socioeconomic inequalities widened in child development outcomes, such as overweight and language delay, during the pandemic. |
| Sancho et al., 2021 | Parental survey in Spain | Families with limited education and financial resources reported poorer housing conditions during lockdown, which negatively impacted children’s well-being. |
| Author, Year | Study design | Main study findings |
|---|---|---|
| Gautam et al., 2023 | Systematic literature review in multi-countries | Lower socioeconomic status was consistently linked to unhealthier behaviors and poorer access to resources, shaping child and adolescent health. |
| Srivastava et al., 2022 | Comparative DHS analysis in Bangladesh | Children from low-income households were significantly less likely to receive full vaccination, with disparities tied to parental education and employment. |
| Karam et al., 2023 | Birth cohort study in Brazil | Mothers from socioeconomically disadvantaged families were more likely to report negative perceptions of their children’s oral health, reflecting SES-driven disparities. |
| Blume et al., 2021 | Scoping review in multi-countries | Family factors such as parental mental health, conflict, and parenting styles mediated or reinforced socioeconomic health inequalities in children. |
| Shibre et al., 2021 | Repeated cross-sectional DHS analysis in Ethiopia | Under-five children from rural and less educated families were less likely to be hospitalized for pneumonia, reflecting SES and educational barriers. |
| Rittsteiger et al., 2021 | Cross-sectional survey in Germany | Children from wealthier families were more likely to access sports facilities and participate in physical activity, reducing mental health risks. |
| Okoli et al., 2022 | Cross-sectional analysis in Nigeria | Children in rural and underserved regions had significantly higher risks of under-five mortality, reflecting limited infrastructure and persistent poverty. |
| Wang et al., 2019 | Cross-sectional survey analysis in China | Rural and migrant children had poorer health outcomes (lower height-for-age scores) compared to urban peers; fathers’ education moderated these disparities. |
| Aravena et al., 2021 | Cross-sectional secondary data analysis in Peru | Access to dental services varied widely across natural regions, with rural and low-income children experiencing the most barriers. |
| Haag et al., 2021 | Secondary data analysis in Australia | Children from disadvantaged and remote households showed higher oral disease rates and greater reliance on acute rather than preventive dental care. |
| Viner et al., 2012 | Narrative review in multi-countries | Education shapes health through social determinants; adolescence is a key period where disparities form, influencing long-term outcomes. |
| Behrman & Rosenzweig, 2002 | Cohort study using U.S. twin data in the United States | Maternal education was a strong predictor of children’s health and schooling; higher maternal education broke cycles of disadvantage across generations. |
| Raghupathi & Raghupathi, 2020 | Cross-national analysis of OECD countries | Higher educational attainment was associated with lower chronic illness and better mental health; lower education was linked to wider disparities. |
| Elgar et al., 2015 | Time-series analysis of HBSC data in 34 countries | Socioeconomic inequalities in adolescent health persisted across decades, highlighting structural disadvantages. |
| Kennedy et al., 2020 | Cross-country comparative analysis in LMICs and global samples | Gender inequalities in health and well-being emerge in early childhood and persist through adolescence, with larger gaps in LMICs. |
| Daghagh Yazd, 2023 | Ecological analysis in global datasets | Higher societal gender inequality correlated with poorer child health outcomes, underscoring systemic gender effects. |
| Hunter & Flores, 2021 | Systematic review in the global literature | Poverty, parental education, and limited healthcare access increased the risk of adverse child outcomes, including maltreatment and chronic illness. |
| Van Cleave et al., 2022 | Narrative/clinical review in the United States | Children with special healthcare needs face compounded effects of poverty and structural barriers, magnifying inequality. |
| Viner et al., 2020 | Rapid systematic review in multi-country evidence | COVID-19 school closures and service disruptions disproportionately harmed disadvantaged children, amplifying existing disparities. |
| Author, Year | Study design | Main study findings |
|---|---|---|
| Brewster et al., 2024 | Qualitative study with hospital staff in England | Tackling inequalities is viewed as a shared yet ill-defined responsibility; clearer organisational frameworks and support are needed. |
| Hammami et al., 2022 | Longitudinal HBSC trend analysis in Canada | Socioeconomic and gender health gaps among adolescents persisted/widened, underscoring the need for robust, targeted policy action. |
| Holding et al., 2021 | Evidence synthesis/policy commentary in LMIC contexts | Funding, delivery, and monitoring gaps hinder implementation; calls for context-fit strategies. |
| Ball et al., 2023 | Retrospective cohort using administrative data in Scotland | Rising child mental-health prescribing/referrals post-COVID highlights the need for equitable, earlier access to support. |
| Griffin et al., 2022 | Narrative policy review in England | National inequality policies adopt narrow framings and omit key drivers; more inclusive, comprehensive frameworks are needed. |
| Sanhueza et al., 2021 | Comparative analysis of population estimates in Latin America/global | Regional/national averages mask subgroup gaps; disaggregated data are required to target vulnerabilities. |
| Cardoso et al., 2023 | Trend analysis of nutrition indicators in Brazil | Most preschool nutrition disparities narrowed (2006–2019), but childhood anaemia rose in the North, showing uneven progress. |
| Alderwick et al., 2024 | Qualitative interviews with system leaders in England | Conceptual, cultural, capacity, and resource barriers limit system-wide inequality work; alignment of policy, processes, and resources is required. |
| Brennan et al., 2024 | Grey-literature scoping review in international children’s hospitals | Children’s hospitals are mobilising public-health actions; success depends on governance, dedicated resources, and sustained commitment. |
| Besnier et al., 2019 | Global evidence review in LMICs | Infectious diseases remain major risks for disadvantaged children; hospitals must sustain prevention/treatment in low-resource settings. |
| Vik et al., 2019 | One-year school-meal intervention trial in Norway | Free, healthy school lunches increased nutritious intake, with larger gains among lower-SES pupils. |
| Cohen et al., 2021 | Systematic review of UFSM in multi-country evidence | UFSM improves participation and shows signals of health/behaviour benefits; effects vary, stressing rigorous implementation. |
| Spill et al., 2024 | Systematic review/meta-evidence on UFSM in multi-country evidence | UFSM is associated with improved meal uptake and several student outcomes; equity and program quality matter for scale-up. |
| Morgan et al., 2019 | Population-based study of adolescents in Wales | Summer experiences (hunger, loneliness, low activity) explain SES gaps in well-being; holiday provision can reduce disparities. |
| Heinrich et al., 2023 | Review of school mental-health implementation in multi-country/US-heavy settings | Funding, capacity, and evaluation-framework gaps commonly blunt program impact. |
| O’Byrne et al., 2024 | Process-evaluation framework for complex school PA/nutrition interventions in multi-country evidence | Practical guidance to design, implement, and evaluate programs for durable, equitable scaling. |