Search Results (161)

Cancer disparities in low- and middle-income countries (LMICs) arise from multifaceted interactions between environmental exposures, infectious agents, and systemic inequities, such as limited access to care. The exposome, a framework encompassing the totality of non-genetic exposures throughout life, offers a powerful lens for understanding these disparities. In LMICs, populations are disproportionately affected by air and water pollution, occupational hazards, and oncogenic infections, including human papillomavirus (HPV), hepatitis B virus (HBV), Helicobacter pylori (H. pylori), human immunodeficiency virus (HIV), and neglected tropical diseases, such as schistosomiasis. These infectious agents contribute to increased cancer susceptibility and poor outcomes, particularly in immunocompromised individuals. Moreover, climate change, food insecurity, and barriers to healthcare access exacerbate these risks. This review adopts a population-level exposome approach to explore how environmental and infectious exposures intersect with genetic, epigenetic, and immune mechanisms to influence cancer incidence and progression in LMICs. We highlight the critical pathways linking chronic exposure and inflammation to tumor development and evaluate strategies such as HPV and HBV vaccination, antiretroviral therapy, and environmental regulation. Special attention is given to tools such as exposome-wide association studies (ExWASs), which offer promise for exposure surveillance, early detection, and public health policy. By integrating exposomic insights into national health systems, especially in regions such as sub-Saharan Africa (SSA) and South Asia, LMICs can advance equitable cancer prevention and control strategies. A holistic, exposome-informed strategy is essential for reducing global cancer disparities and improving outcomes in vulnerable populations. Full article

More than 50 years ago, children were viewed as naturally resilient and often labeled invulnerable or invincible. Resilience is now understood to be the result of dynamic interactions between individual, familial, social, and environmental systems, decentralizing the focus from the individual to the global society. Experiences with adversity may emanate from the youth’s family environment, their community, the school system, and larger structural challenges related to poverty, discrimination, health disparities, and educational inequities. Youth experiences with adversity, trauma, and tragedy have the potential to negatively impact youth well-being, with consequences manifesting across the lifespan. Children and adolescents generally hold limited power to change their circumstances and are often ill-equipped to resolve the adverse or traumatic experiences occurring within their ecosystem. The value of social supports in the young person’s ability to be resilient has been affirmed. This understanding is particularly important for children growing up in poverty or in Low- and Middle-Income Countries (LMICs) where significant challenges occur as a result of economic and social disadvantage. Resilience at the individual level is unlikely to eliminate macrolevel issues. Developing and deploying strategies to enhance the ability of youth to rebound from adversity represents a positive step at the micro level, but the larger issues of economic and social disadvantage are unlikely to change without macro-level interventions. Glancing toward the future, traumatized youth may grow into traumatized adults without appropriate interventions and changes in social policies, programs, and protections. Full article

Background/Objectives: Syphilis, a re-emerging global public health issue, has shown increasing incidence over the past decade, particularly among key populations such as men who have sex with men (MSM), people living with HIV, and pregnant women. This narrative review aimed to synthesize global epidemiological trends of syphilis from 2015 to 2025, with a focus on surveillance gaps, regional disparities, and structural determinants. Methods: A broad narrative approach was used to collect and analyze epidemiological data from 2015 to 2025. The literature was retrieved from databases (PubMed, Scopus) and official reports from the WHO, CDC, and ECDC. Included materials span observational studies, surveillance reports, and modeling data relevant to global trends and public health responses. Results: Globally, syphilis incidence has increased, with notable surges in North America, Europe, and Asia. MSM remain disproportionately affected, while congenital syphilis is resurging even in high-income countries. Low- and middle-income countries report persistent burdens, especially among women of reproductive age, often exacerbated by limited screening and surveillance infrastructure. The COVID-19 pandemic disrupted syphilis-related services and further exacerbated underreporting, hindering timely detection and response efforts. Surveillance systems vary widely in their completeness and quality, which significantly hinders global data comparability and coordinated public health responses. Conclusions: Despite its curability, syphilis continues to spread due to fragmented prevention strategies, inequities in access to care, and insufficient surveillance. Strengthening diagnostic access, integrating prevention efforts into broader health systems, and addressing social determinants are essential. Improved surveillance, equitable access, and innovation—including diagnostics and potential vaccine research—are critical to controlling the global syphilis epidemic. Full article

In the intersecting field of energy consumption and human well-being, many macro-level studies link national energy use with well-being. These studies often rely on aggregate data, however, limiting insights into intra-national inequities and diverse well-being outcomes. To bridge this gap, this study used a single Nordic survey that allowed for the calculation of consumption-based energy footprints alongside well-being measures, focusing on Icelandic participants. A factor analysis of well-being responses identifies four factors: Eudaimonic, Financial, Housing/Local, and Health-related well-being. We found that well-being in Iceland largely remains decoupled from energy footprints across income and consumption groups, except for financial well-being. However, these groups differ significantly in consumption lifestyles and associated footprints, with only a small fraction of consumers maintaining energy use within global sufficiency thresholds. Most exceed these levels, suggesting that Iceland could reduce energy consumption without significantly harming well-being. Future research should explore strategies to lower consumption without triggering negative social reactions or declines in well-being. Full article

Background/Objectives: Colorectal cancer (CRC) is a leading cause of cancer-related morbidity and mortality worldwide, posing a substantial health and economic burden. Despite advances in screening and treatment, significant socioeconomic and healthcare-related disparities persist across European Union (EU) member states. This study aims to identify trends and inequality in CRC burden over time and to explore the relationship between country-level socioeconomic and healthcare indicators and CRC burden across EU member states. Methods: Age-standardized mortality, years lived with disability (YLD), years of life lost (YLL), and disability-adjusted life years (DALY) rates were extracted from Global Burden of Diseases Study 2021 for 24 EU countries. Socioeconomic and healthcare indicators were extracted from Eurostat between 2005 and 2021. The Gini index was calculated to evaluate CRC-related health inequality, and generalized linear mixed models were used to assess the link between indicators and disease burden. Results: The Gini index for age-standardized YLDs declined from 0.19 to 0.12 between 1990 and 2021, while inequality in YLL (from 0.11 to 0.16), DALY (from 0.11 to 0.15), and mortality rates (from 0.12 to 0.14) increased. The number of practicing physicians (p < 0.05) and higher levels of education (p < 0.001) were related to lower death, DALY, YLD, and YLL rates. Conversely, greater income inequality was linked to higher mortality, DALY, and YLL rates (p < 0.05). Conclusions: Our findings underscore that, in addition to expanding organized screening programs, enhancing physician availability and addressing socioeconomic inequalities are essential for reducing the burden of CRC. Full article

Background: The present study seeks to examine how social disparities relate to the prevalence of poor glycemic control (HbA1c ≥ 7%), comorbidities such as hypertension and dyslipidemia, and diabetes-related complications (microvascular or macrovascular) among Saudi patients diagnosed with type 2 diabetes. Methods: A cross-sectional study was conducted among 574 patients with type 2 diabetes mellitus (T2DM) attending family medicine clinics at King Saud University Medical City in Riyadh. Participants were selected using a simple random sampling technique and interviewed via phone using a validated questionnaire. Data collected included demographic and clinical variables. Descriptive statistics and multivariate logistic regression analyses were performed to assess the association between socioeconomic status (SES) and cardiovascular complications, including stroke, dyslipidemia, hypertension, and acute coronary syndrome. Result: The analysis revealed that certain socioeconomic factors significantly increased the odds of cardiovascular complications among patients with T2DM. Being female was associated with higher odds of hypertension (OR = 2.29, p = 0.014), dyslipidemia (OR = 2.59, p = 0.012), acute coronary syndrome (ACS) (OR = 2.35, p = 0.001), and stroke (OR = 2.17, p = 0.003). Divorced or widowed participants had significantly increased odds of ACS (OR = 2.91, p = 0.001) and stroke (OR = 2.83, p = 0.002). A lower educational level (secondary school or less) was significantly associated with increased odds of hypertension (OR = 2.64, p = 0.031), dyslipidemia (OR = 2.22, p = 0.005), and stroke (OR = 2.88, p = 0.042). Monthly income between 3001 and 6000 SAR was significantly associated with higher odds of ACS (OR = 2.61, p = 0.003) and stroke (OR = 2.64, p = 0.012). Participants with diabetes duration >15 years had higher odds of dyslipidemia (OR = 2.86, p = 0.004) and stroke (OR = 2.89, p = 0.005). Being retired or not working increased the odds of all four cardiovascular outcomes, with stroke showing the highest risk (OR = 3.18, p < 0.001). Living outside the Riyadh region was also associated with elevated risk across outcomes, notably stroke (OR = 1.52, p = 0.046). Conclusions: The study concluded that notable social disparities exist among diabetic individuals affected by cardiovascular conditions, such as stroke and acute coronary syndrome (ACS), as well as risk factors for cardiovascular disease like dyslipidemia (DLD). These findings can inform targeted cardiovascular risk reduction strategies and address health inequities among diabetic populations in Saudi Arabia. Full article

Background: Health inequality is seen as a challenge for implementing the Healthy China Strategy. This study analyzes the income-related health inequality among urban–rural resident basic medical insurance (URRBMI) participants. Methods: This study utilized data from the 2019 China Household Finance Survey (CHFS), and the concentration index (CI) was employed to estimate the effects of income-related health inequality on participants. Results: Our findings provide clear evidence that health inequality among participants has fluctuated—narrowing, widening, and then narrowing again—in the areas of the contribution, medical treatment, and reimbursement of URRBMI, respectively. Overall, the analysis indicates a widening of health inequality post-reimbursement, with results remaining consistent. A heterogeneity analysis shows that health inequality is most pronounced among women and those with less than a middle school education. Finally, our study reveals a pro-rich trend in the actual utilization of medical services among participants, with persistent disparities in outpatient and inpatient service usage even after standardization, further exacerbating income-related health inequality. Conclusions: We recommend that the URRBMI design take participants’ income levels into account, with policies favoring disadvantaged individuals to enhance their medical security, improve access to healthcare services, and ultimately reduce health inequality. Full article

Objective: Low birth weight is a serious public health problem even in developed countries. The objective of this study was to assess the ability of machine learning to predict low birth weight rates in big cities in the USA on an ecological/population level. Study design: The study was based on publicly available data from the Big Cities Health Inventory Data Platform. The collected data related to the 35 largest, most urban cities in the United States from 2010 to 2022. The model-agnostic approach was used to assess and visualize the magnitude and direction of the most influential predictors. Results: The models showed excellent performance with R-squared values of 0.82, 0.81, 0.81, and 0.79, and residual root mean squared error values of 1.06, 0.87, 1.03, 0.99 for KNN, Best subset, Lasso, and XGBoost, respectively. It is noteworthy that the Best subset selection approach had a high RSq and the lowest residual root mean squared error, with only a four-predictor subset. Influential predictors that appeared in three/four models were rate of chlamydia infection, racial segregation, prenatal care, percentage of single-parent families, and poverty. Other important predictors were the rate of violent crimes, life expectancy, mental distress, income inequality, hazardous air quality, prevalence of hypertension, percent of foreign-born citizens, and smoking. This study was limited by the unavailability of data on gestational age. Conclusions: The machine learning algorithms showed excellent performance for the prediction of low birth weight rate in big cities. The identification of influential predictors can help local and state authorities and health policy decision makers to more effectively tackle this important health problem. Full article

Healthcare disparities in cancer care remain pervasive, driven by intersecting socioeconomic, racial, and insurance-related inequities. These disparities manifest in various forms such as limited access to medical resources, underrepresentation in clinical trials, and worse cancer outcomes for marginalized groups, including low-income individuals, racial minorities, and those with inadequate insurance coverage, who face significant barriers in accessing comprehensive cancer care. This manuscript explores the multifaceted nature of these disparities, examining the roles of socioeconomic status, race, ethnicity, and insurance status in influencing cancer care access and outcomes. Historical and contemporary data highlight that minority racial status correlates with reduced clinical trial participation and increased cancer-related mortality. Barriers such as insurance coverage, health literacy, and language further hinder access to cancer treatments. Addressing these disparities requires a systemic approach that includes regulatory reforms, policy changes, educational initiatives, and innovative trial and treatment designs. This manuscript emphasizes the need for comprehensive interventions targeting biomedicine, socio-demographics, and social characteristics to mitigate these inequities. By understanding the underlying causes and implementing targeted strategies, we can work towards a more equitable healthcare system. This involves improving access to high-quality care, increasing participation in research, and addressing social determinants of health. This manuscript concludes with policy recommendations and future directions to achieve health equity in cancer care, ensuring optimal outcomes for all patients. Full article

Human papillomavirus (HPV) is a leading cause of several cancers, most notably cervical cancer, but also anal, penile, vulvar, vaginal, and oropharyngeal malignancies. While vaccines and screening technologies offer highly effective prevention, the global burden of HPV-induced cancers remains disproportionately high in low- and middle-income countries (LMICs). This literature review provides a comprehensive synthesis of the types, mechanisms, treatments, and prevention strategies associated with HPV-related cancers, while also highlighting regional disparities in healthcare access and infrastructure. It critically examines the barriers LMICs face in adopting life-saving interventions, such as limited healthcare infrastructure, vaccine hesitancy, funding gaps, and cultural stigma. The review further explores recent scientific and policy advances—including single-dose vaccination, self-sampling HPV tests, and senolytic therapies—that have the potential to reduce global health inequities. By connecting molecular biology with public health systems, this paper underscores the need for interdisciplinary solutions and equity-centered approaches to combat HPV-induced cancers worldwide. The findings emphasize that eliminating cervical cancer and other HPV-related diseases is not only a scientific goal but also a moral imperative requiring global collaboration and local action. Full article

Analyzing the population’s access to ecosystem services offered by urban greening constitutes a measure of environmental justice, as it directly affects the quality of life and health of the population living in cities. This article is committed to proposing a geoenvironmental model in a geographic information system (GIS), envisaged to estimate the share of urban forests and green spaces in territorial planning units (TPUs), corresponding to neighborhoods of a pilot city, using high-spatial-resolution images of the China–Brazil Earth Resources Satellite (CBERS-4A) and the normalized difference vegetation index (NDVI). These data were combined by means of a Boolean analysis with social vulnerability indicators assessed from census data related to income, education, housing, and sanitation. This model ultimately aims to identify priority areas for urban afforestation in the context of environmental justice and is thus targeted to improve the inhabitants’ quality of life. The municipality of Goiânia, the capital of Goiás state, located in the Brazilian Central–West Region, was chosen as the study area for this experiment. Goiânia presents 19.5% of its urban territory (82.36 km²) covered by vegetation. The analyses indicate an inequity in the distribution of urban forest patches and green areas in this town, where 7.8% of the total TPUs have low priority, 28.2% have moderate to low priority, 42.2% have moderate to high priority, and 21.8% have high priority for urban afforestation. This urban greening imbalance is particularly observed in its most urbanized central nuclei, associated with a peripheralization of social vulnerability. These findings are meant to support initiatives towards sound territorial planning processes designed to promote more sustainable and equal development to ensure environmental justice and combat climate change. Full article

We present a systematic evaluation of population health reviews from the Cochrane Database (January 2013–February 2023) to evaluate how indicators of inequity or disadvantage are considered and reported in population health evidence syntheses. Descriptive analyses explored a representation of reviews across health-determinant categories (primary and secondary categories), summarised equity-focused reviews, and examined proportions and types of reviews that planned/completed a subgroup analysis using ≥1 indicators from the PROGRESS-Plus framework. Of 363 reviews included, a minority focused on interventions targeting wider determinants of health (n = 83, 22.9% as primary category), with a predominance related to individual lifestyle factors (n = 155, 42.7%) or health care services intervention (n = 97, 26.7%). An explicit equity focus was evident in 21 (5.8%) reviews that used PROGRESS/PROGRESS-Plus, and 28 (7.7%) targeting vulnerable groups. Almost half (n = 165, 45.6%) planned a subgroup analysis by ≥1 PROGRESS-Plus indicator, which was completed in 63 reviews (38.2% of 165). The non-completion of planned subgroup analyses was attributed to insufficient data (too few primary studies, data not reported by subgroups). Among the 165 reviews planning a subgroup analysis, age was the most cited indicator (n = 91, 55.2%), followed by gender/sex (n = 67, 40.6%), place (n = 47, 28.5%) and socio-economic status (n = 37, 22.4%). This study highlighted missed opportunities for learning about the impacts of health equity in population health evidence syntheses due to insufficient data. We recommend routine use of PROGRESS-Plus and greater consistency in socio-economic proxies (occupation, education, income, disadvantage measures) to facilitate meta-analyses and subgroup analyses. Full article

Advances in primary healthcare coverage for the improvement in health outcomes at the population level comprise a major goal of public policies of health, particularly considering increases in hospitalization costs linked to chronic diseases in recent decades. Previous evidence shows the positive effects of access to primary healthcare on hospitalization indicators in high-income countries; however, there is a lack of literature on the subject in Latin American countries. Thus, the present study proposes a quantitative investigation on connections between primary healthcare quality and effectiveness in relation to hospitalization indicators, in addition to the identification of its effects on inequalities in hospitalizations in Brazil. The study was based on an empirical analysis of data from five cross-sectional surveys representative at the population level conducted by the Brazilian Institute for Geography and Statistics (IBGE) in 1998, 2003, 2008, 2013, and 2019. Information on the demographic, socioeconomic, and health characteristics of individuals compatible across surveys were included in the analyses, in addition to data on household and survey characteristics. The statistical analyses were based on the estimation of logistic regression models for the exploration of effects of primary healthcare quality and effectiveness on hospitalizations, inpatient days, and perception of quality of hospital care. Furthermore, the estimation of concentration indexes and their disaggregation allowed to verify trends and determinants of inequalities in hospitalization indicators in Brazil throughout the period. The results indicate that primary healthcare effectiveness is associated with the lower occurrence and frequency of hospitalizations, and a lower length of stay in hospitals. Primary healthcare quality was associated with the perception of higher quality of hospital care. Trends in hospitalization indicators showed reduction in inequalities towards low-income individuals from 1998 to 2013, and primary healthcare quality presented minor influence on inequalities in hospitalizations, inpatient days, and perception of quality of hospital care. Full article

Background: The declaration of COVID-19 as a pandemic by the World Health Organization in 2020 led to the widespread suspension of clinical practices, including dentistry. This study aims to evaluate the impact of these restrictions on oral health and dietary habits. Methods: A retrospective cross-sectional study was conducted at Egas Moniz University Clinic (Lisbon Metropolitan Area), covering from June 2019 to June 2021. A total of 3380 participants were included and categorized into two cohorts: pre- and post-COVID-19 restrictions. Data were collected through a structured questionnaire assessing oral health behaviors and dietary habits. Results: Of 3469 incoming patients, 3380 met the inclusion criteria. Statistically significant post-lockdown changes were observed, including increased smoking prevalence, higher coffee with sugar consumption, reduced use of dental floss and mouthwash, and redistribution in tooth brushing frequency, with fewer individuals brushing 2–3 times daily. Conclusions: COVID-19-related restrictions had a heterogeneous impact on oral health and dietary behaviors. While some individuals reported improved hygiene routines, others showed negative changes, such as increased tobacco use or decreased use of oral hygiene products. These contrasting effects call for targeted public health strategies to reduce inequalities and support vulnerable groups during crises. Full article

Background/Objectives: Human papillomavirus (HPV) causes multiple types of cancer, and demographic-based inequities in HPV-related cancers persist. Behavioral interventions have increased HPV vaccination uptake, yet it is unclear how intervention effects vary by demographics. The purpose of this study was to examine whether existing HPV vaccine interventions for adolescents have unequal effects on HPV vaccine uptake. Methods: We searched MEDLINE via PubMed, PsycINFO, CINAHL, Scopus, and Cochrane CENTRAL in October 2023. The search strategy combined keywords and subject terms for HPV vaccine, interventions/health promotion, and adolescents. Studies were included in final analyses if they were peer-reviewed, published in the US between 2006 and 2023, included outcome measures from an evidence-based HPV vaccination intervention, included adolescents aged 9–17, and demographic variables for age, race/ethnicity, income/SES, or geographic region. Studies were excluded if they were review articles, abstract-only, dissertations or theses, non-English language, non-US-based, or outside the age range of 9–17. Studies were also excluded if they did not include an intervention, outcome evaluation measures, or demographic measures. The screening and extraction processes were independently performed by multiple reviewers using Covidence software. Results: Ultimately, 74 articles were included for full extraction. Sex was the most common demographic variable analyzed by the HPV vaccine (n = 38), followed by race/ethnicity (n = 15), income/SES (n = 6), and geographic region (n = 6). Conclusions: Few interventions assess whether intervention results differ by demographics, making it unclear whether these interventions reduce health inequities. This review included a wide variation in study designs, limiting our ability to uniformly assess study conclusions. Full article