Socioeconomic disadvantage has consistently been associated with reduced maternal healthcare utilization; however, the extent to which individual-level socioeconomic and demographic characteristics explain antenatal care (ANC) access remains uncertain. This study examined associations between socioeconomic status (SES), basic demographic factors, and ANC completion, while synthesizing global evidence on social vulnerability and maternal healthcare access among disadvantaged pregnant women. The analysis combined secondary data from 2,019 women obtained from the Institute for Health Metrics and Evaluation (IHME) dataset with a systematic review and meta-analysis conducted in accordance with the PRISMA 2020 guidelines. Multivariable logistic regression and exploratory machine learning approaches (K-Nearest Neighbors and XGBoost) were applied to assess the discriminative capacity of individual-level variables for ANC completion. A random-effects me-ta-analysis was used to synthesize adjusted odds ratios (aORs) from eligible observational studies. In the IHME dataset, SES was not significantly associated with ANC completion after adjustment (aOR = 0.97; 95% CI: 0.78–1.21), and individual-level models demonstrated limited discriminatory performance (AUC range: 0.49–0.50). In contrast, the meta-analysis of six studies showed that socioeconomic disadvantage was significantly associated with inadequate or delayed prenatal care (pooled aOR = 1.96; 95% CI: 1.26–3.07), with substantial heterogeneity across studies. Although conceptually distinct, indicators such as migrant status and neighborhood risk were synthesized as proxies of broader social vulnerability. Overall, these findings suggest that individual-level so-cioeconomic and demographic variables alone provide limited explanatory value for maternal healthcare utilization, highlighting the potential importance of broader structural and health system-level factors influencing access to antenatal care.
Background Older adults in Ghana who experience socioeconomic disadvantage characterized by limited in-come, low educational attainment, inadequate housing, insecure or absent employment face obstacles to main-taining social connections, increasing their vulnerability to isolation and adverse health outcomes. Prolonged loneliness has been likened to the health impact of smoking 15 cigarettes per day (Shafiq et al., 2020). This review and meta-analysis examined cross-sectional studies showing differing relationships between social isola-tion/loneliness and low socioeconomic status (SES) among Ghanaian older adults. The objective was to synthesize quantitative evidence on associations between socioeconomic factors and social isolation or loneliness among older adult populations in Ghana.
Methods: We searched PubMed/MEDLINE, Embase and African Journals Online (AJOL) for peer-reviewed English-language studies published from 1 January 2019 to December 2024. Eligible studies were quantitative, included Ghanaian older adults, reported associations between social isolation or loneliness and at least one socioeconomic factor, and provided extractable effect measures (OR/PR or raw counts). Two reviewers independently screened titles/abstracts and full texts. Data extracted covered study characteristics, exposures, outcomes, and adjusted effect estimates. We pooled odds ratios using random-effects meta-analysis (DerSi-monian–Laird) in R (meta/metafor); heterogeneity was quantified with I². Risk-of-bias visualizations were produced with robvis.
Results
Ten cross-sectional Ghanaian studies met inclusion criteria. All indicated that lower SES was associated with elevated odds of social isolation or loneliness (individual ORs 1.60–2.30). The pooled OR was 1.90 (95% CI: 1.69–2.14), indicating approximately a 90% higher likelihood of social isolation or loneliness among soci-oeconomically disadvantaged older adults. The findings suggest that aside cultural enablers, rural-urban migration effects are more severe in low-SES groups, potentially explaining the heightened ORs com-pared to global estimates.
Conclusion
Socioeconomic disadvantage is a substantial correlate of social isolation and loneliness among Ghanaian older adults. Interventions and policies addressing poverty, food insecurity, and broader socio-cultural determinants are needed to support social connectedness and healthy aging.
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Health inequalities, defined as systematic, avoidable, and unfair differences in health outcomes between populations, pose a major challenge to public health. This review examined how socioeconomic status, geographical location, and educational attainment affect children’s physical and mental health. It also highlights how the COVID-19 pandemic has exacerbated these inequalities. Children from lower socioeconomic backgrounds experience less access to healthcare and a higher rate of chronic diseases compared to those from higher socioeconomic backgrounds. Differences in geographical location also increase these gaps, particularly in rural or underdeveloped areas where resources are limited. Limitations in Educational attainment also have a further impact on health by limiting opportunities for health literacy and access to services. The present review explores interventions implemented by governments, hospitals, and schools to address these disparities. While nutritional programs and hospital-based initiatives have achieved some positive progress, challenges remain due to inconsistencies in implementation and funding allocation. In particular, differences in oral health and access to cancer care highlight gaps in existing measures. To overcome these disparities, a coordinated strategy that tackles the socioeconomic determinants of health is required. Politicians, healthcare providers, and educators must work together to guarantee fair allocation of resources and services. Thus, sustained commitment to these activities is required to ensure a healthier and more equitable future for all children.