Search Results (93)

Autism Spectrum Disorder (ASD) remains significantly underdiagnosed in women, resulting in a persistent gender gap with important clinical, functional, and psychosocial implications. This narrative review explores the multifactorial barriers contributing to diagnostic disparities, including the male-oriented structure of current diagnostic criteria, the prevalence of co-occurring psychiatric conditions, and the phenomenon of social camouflaging shaped by culturally reinforced gender norms. These factors frequently lead to delayed identification, clinical misinterpretation, and suboptimal care. The review synthesizes evidence from clinical, psychological, and sociocultural research to demonstrate how the under-recognition of ASD in women impacts mental health outcomes, access to education, occupational stability, and overall quality of life. Special emphasis is placed on the consequences of missed or late diagnoses for healthcare delivery and the educational needs of clinicians involved in ASD assessment and care. This article concludes with actionable, evidence-based recommendations for enhancing diagnostic sensitivity, developing gender-responsive screening strategies, and integrating training on female autism presentation into medical and allied health education. Addressing these challenges is essential to reducing diagnostic inequities and ensuring timely, accurate, and person-centered care for autistic women throughout their lifespan. Full article

The COVID-19 pandemic precipitated unprecedented social isolation measures, profoundly disrupting daily life, educational routines, and mental health worldwide. University students, already susceptible to psychological distress, encountered intensified challenges under remote learning and prolonged confinement. This longitudinal study examined fluctuations in anxiety and mood among 102 Brazilian university students during the pandemic, distinguishing between those solely engaged in academic pursuits and those simultaneously balancing work and study. Data collected via the Brunel Mood Scale and State-Trait Anxiety Inventory in April and July 2021 revealed that students exclusively focused on studies exhibited significant increases in depressive symptoms, anger, confusion, and anxiety, alongside diminished vigor. Conversely, participants who combined work and study reported reduced tension, fatigue, confusion, and overall mood disturbance, coupled with heightened vigor across the same period. Notably, women demonstrated greater vulnerability to anxiety and mood fluctuations, with socioeconomic disparities particularly pronounced among females managing dual roles, who reported lower family income. These findings suggest that occupational engagement may serve as a protective factor against psychological distress during crises, underscoring the urgent need for tailored mental health interventions and institutional support to mitigate the enduring impacts of pandemic-related adversities on the student population. Full article

This article describes the design, methods, and baseline characteristics of the social needs assessment (SNA) of participants enrolled in an ongoing randomized clinical trial implementing a comprehensive approach to improving diabetes self-management and providing an intensive Diabetes Self-Management Education and Support (iDSMES) Program at St. Vincent’s House Clinic, a primary care practice serving resource-challenged diverse populations in Galveston, Texas. Standardized SNA was conducted to collect information on financial needs, psychosocial well-being, and other chronic health conditions. Based on their identified needs, participants were referred to non-medical existing community resources. A series of in-depth interviews were conducted with a subset of participants. A team member independently categorized these SNA narratives and aggregated them into two overarching groups: medical and social needs. Fifty-nine participants (with a mean age of 53 years and equal representation of men and women) completed an SNA. Most (71%) did not have health insurance. Among 12 potential social needs surveyed, the most frequently requested resources were occupational therapy (78%), utility assistance (73%), and food pantry services (71%). SNA provided data with the potential to address barriers that may hinder participation, retention, and outcomes in diabetes self-management. SNA findings may serve as tertiary prevention to mitigate diabetes-related complications and disparities. Full article

Background/Objectives: Agricultural workers in Spain with a migratory background face challenging working and living conditions that significantly affect their health. This study aimed to explore how professionals in healthcare, social services, civil society organisations, and labour institutions perceive that the working conditions affect the physical health of this population. Methods: A qualitative descriptive study was conducted through 92 semi-structured interviews with professionals from six provinces in Spain. Data were analysed using thematic analysis following Braun and Clarke’s six-phase framework. Rigour was ensured through triangulation, independent coding, and interdisciplinary consensus. Results: Two overarching themes were identified: (1) the health consequences of workplace demands and environmental hazards, and (2) navigating health services such as sick leave and disability permits. These findings highlight how the impact of precarious working conditions and limited access to healthcare affect the physical health of migrant agricultural workers. Conclusions: The professionals interviewed described and relate precarious working conditions with adverse health outcomes among migrant agricultural workers. Their insights reveal the need for systemic reforms to enforce labour rights, ensure access to health services, and address the structural factors that contribute to exclusion and vulnerability. Full article

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

Background: Hearing loss is increasingly prevalent and poses a significant public health concern. While both aging and occupational noise exposure are recognized contributors, their interactive effects and gender-specific patterns remain underexplored. Methods: This cross-sectional study analyzed data from 135,251 employees in Jiangsu Province, China. Demographic information, noise exposure metrics, and hearing thresholds were obtained through field measurements, questionnaires, and audiometric testing. Multivariate logistic regression, restricted cubic spline modeling, and interaction analyses were conducted. Machine learning models were employed to assess feature importance. Results: A nonlinear relationship between age and high-frequency hearing loss (HFHL) was identified, with a critical inflection point at 37.8 years. Noise exposure significantly amplified HFHL risk, particularly in older adults (OR = 2.564; 95% CI: 2.456–2.677, p < 0.001), with consistent findings across genders. Men exhibited greater susceptibility at high frequencies, even after adjusting for age and co-exposures. Aging and noise exposure have a joint association with hearing loss (OR = 2.564; 95% CI: 2.456–2.677, p < 0.001) and an interactive association (additive interaction: RERI = 2.075, AP = 0.502, SI = 2.967; multiplicative interaction: OR = 1.265; 95% CI: 1.176–1.36, p < 0.001). And machine learning also confirmed age, gender, and noise exposure as key predictors. Conclusions: Aging and occupational noise exert synergistic effects on auditory decline, with distinct gender disparities. These findings highlight the need for integrated, demographically tailored occupational health strategies. Machine learning approaches further validate key risk factors and support targeted screening for hearing loss prevention. Full article

Gender harassment is the most common variant of sexual harassment and is often seen in male-dominated workplaces. Importantly, persistent gender harassment produces pronounced impairment in psychological and occupational domains. The current study aimed to examine the degree to which male dominated academic degree programs are associated with higher rates of sexual harassment compared to female dominated programs. Four academic fields were chosen for their gender disparity—business, engineering, health sciences, and education. Consistent with hypotheses, cisgender women students in the college of engineering were most likely to experience gender harassment by peers and faculty. Implications and future directions are discussed. Full article

Objective: This study aimed to explore the burden attributable to different groups of risk factors (environmental/occupational, behavioral, and metabolic) in Saudi Arabia that were stratified by gender and year and measured by summary exposure values (SEVs) and disability-adjusted life years (DALYs) per 100,000. Design: This study was structured as a systematic analysis. Methods: Using the GBD 2021 data, we extracted information on different risk factors attributed to the disease burden in Saudi Arabia to quantify the differences in exposure value (SEV) and disability-adjusted life year (DALY) rates (per 100,000) between females and males across different years. Results: Over the years, sustained progress in reducing the number of DALYs attributable to specific environmental and occupational risks has been observed, as well as a slight decrease in some behavioral risks. The highest disease burden was attributed to metabolic and behavioral risk factors, with body mass index being the leading risk factor for both genders. Between 1990 and 2021, the age-standardized DALY rate in those with high body mass indices increased by 168.4% and reached 3436.23 (95% UI 1878.7–5031.5) in males and increased by 125.2% to reach 2952.6 (95% UI 1456.9–4.407) in females. The age-standardized SEVs were the highest in females with a high body mass index, reaching an SEV of 57.98 (95% UI: 64.1–49.2), and in males, an SEV of 50.75 (95% UI: 57.1–42.3) was achieved. Regarding their attributable deaths in 2021, metabolic risk factors were identified as the primary contributors to NCD mortality in 2021. Conclusions: These results reveal persistent health disparities between males and females, underscoring the urgent need for gender-specific research, policies, and interventions. Strategies aimed at promoting health and reducing disease burden should acknowledge the unique health challenges encountered by males and females. Full article

Background: In rapidly aging societies like Japan, socioeconomic status (SES) plays a critical role in shaping older adults’ health behaviors. Disparities in SES influence access to healthcare, engagement in health-promoting activities, and the adoption of digital health technologies. This narrative review synthesizes current evidence on how SES affects health behaviors among older adults and highlights challenges in promoting equitable and sustainable healthcare in aging populations. Methods: A PubMed search was conducted for English-language articles published up to May 2025 using the keywords “socioeconomic status”, “older adults”, and terms related to health behaviors. Studies were included if they focused on individuals aged 65 or older and examined associations between SES and healthcare use, digital health, complementary and alternative medicine (CAM), supplements, or lifestyle behaviors. Results: A total of 24 articles were identified. Higher SES—typically measured by income, education, and occupation—was consistently associated with an increased use of preventive services, digital health tools, CAM, and healthier lifestyle behaviors such as diet, physical activity, and sleep. In contrast, lower SES was linked to healthcare underuse or overuse, digital exclusion, and less healthy behaviors. Structural and regional disparities often reinforce individual-level SES effects. Comorbidity burden and shifting health perceptions with age may also modify these associations. Conclusions: SES is a key determinant of health behavior in older adults. Policies should focus on redistributive support, digital inclusion, and SES-sensitive health system strategies to reduce disparities and promote healthy aging in super-aged societies. Full article

Volatile Organic Compounds (VOCs) are important contributors to indoor and occupational air pollution, such as environments involving the extensive use of paints and solvents. The routine measurement of VOCs is often limited by resource constraints, creating a need for indirect estimation techniques. This work presents the need for a predictive framework that offers a practical, interpretable alternative to a full-spectrum chemical analysis and supports early exposure detection in resource-limited settings, contributing to environmental health monitoring and occupational risk assessment. This study explores the capability of machine learning to simultaneously predict the concentrations of five paint-related VOCs using other co-emitted VOCs along with demographic variables. Three models—Multi-Output Gaussian Process Regression (MOGP), CatBoost Multi-Output Regressor, and Multi-Output Neural Networks—were calibrated and each achieved a high predictive performance. Further, a feature importance analysis is conducted and showed that certain VOCs and some demographic variables consistently influenced the predictions across all models, pointing to common exposure determinants for individuals, regardless of their specific exposure setting. Additionally, a subgroup analysis identified the exposure disparities across demographic groups, supporting targeted risk mitigation efforts. Full article

Background: the distribution of human papillomavirus (HPV) infection, vaccination rates, and awareness levels varies across China. Methods: this study examined HPV infection prevalence, vaccine uptake, and barriers among 2440 women aged 30–64 in Shenzhen, China, using partial least squares structural equation modeling (PLS-SEM) to analyze associated factors. Results: The overall HPV prevalence was 14.2% (347/2440), with HPV52 being the most common type, followed by HPV58 and HPV53. Factors significantly associated with HPV infection included more sexual partners, genital tract infections, manual labor, and single marital status (p < 0.05), whereas higher education demonstrated a protective association (p < 0.05). The HPV vaccination rate was 41.8% in ages 30–45. There were direct effect indicators of younger age, fewer pregnancies, and premenopausal status (p < 0.05) on HPV vaccine uptake, whereas inversely associated factors included divorce/widowed, lower household income, irregular menstruation, more deliveries, no contraception, and lack of HPV knowledge. Among 828 unvaccinated individuals, 47.9% of those aged 46–64 were willing if the age restrictions were expanded, with the main barrier being a lack of vaccine knowledge (40.7%). Willingness was significantly associated with younger age and healthcare occupation (p < 0.05), but negatively with eastern Shenzhen residence, lower household income, no HPV disease awareness, abnormal leucorrhea, lack of HPV knowledge, and belief against post-vaccination screening (p < 0.05). Conclusions: Socioeconomic disparities in HPV infection and vaccination rates in Shenzhen highlight intervention priorities. The impact of HPV knowledge underscores the need for effective health communication. The vaccination willingness and infection status among women aged 45+ provide supporting evidence for expanding HPV vaccination to older age groups. Full article

Introduction: Dyslipidemia, characterized by abnormal blood lipid levels, is a key risk factor for cardiovascular disease. Socioeconomic status can play a role in the development of chronic disease, including as an influence on risk factors for chronic diseases such as cardiovascular disease. Methods: This study analyzes the relationship between socioeconomic status and dyslipidemia using a population-based cross-sectional survey (NHANES 2017–2020 data). A cohort of 5862 adults was examined, focusing on socioeconomic factors (income, education, occupation) and their association with lipid profiles while controlling for sociodemographic, lifestyle, and medical variables, contributing to understanding how health disparities may affect chronic disease outcomes. Results: Low socioeconomic status was consistently associated with higher dyslipidemia risk, while high socioeconomic status demonstrated a modest protective effect. Age, BMI, hypertension, and diabetes were key predictors, highlighting the need for targeted interventions. Conclusions: This study underscores the critical role of socioeconomic status in dyslipidemia risk. Low socioeconomic status consistently increased the odds of dyslipidemia. While high socioeconomic status demonstrated some protective effects, these were diminished when accounting for lifestyle and clinical factors, highlighting the complex interplay of socioeconomic status and health behaviors. Full article

Background and Objectives: Maxillofacial trauma represents a significant global health challenge with substantial physical, psychological, and socioeconomic consequences. Materials and Methods: This narrative review analyzed 112 articles published between 2000 and 2024 examining epidemiology, prevention, economics, and outcomes of maxillofacial trauma in critical care settings. Results: Road traffic accidents remain the primary cause globally, followed by interpersonal violence and occupational injuries. Effective prevention strategies include seat belt laws, helmet legislation, and violence prevention programs. Economic burden encompasses direct healthcare costs (averaging USD 55,385 per hospitalization), productivity losses (11.8 workdays lost per incident), and rehabilitation expenses (USD 3800–18,000 per patient). Surgical management has evolved toward early intervention, minimally invasive approaches, and advanced techniques using computer-aided design and 3D printing. Complications affect 3–33% of patients, with significant functional disabilities and psychological sequelae (post-traumatic stress disorder in 27%, depression/anxiety in 20–40%). Conclusion: Maxillofacial trauma management requires multidisciplinary approaches addressing both immediate treatment and long-term rehabilitation. Despite technological advances, disparities in specialized care access persist globally. Future efforts should implement evidence-based prevention strategies, reduce care disparities, and develop comprehensive approaches addressing physical, psychological, and socioeconomic dimensions through collaboration among healthcare professionals, policymakers, and community stakeholders. Full article

This study investigates residential segregation and housing types in Craiova, Romania, with a particular focus on the disparities shaped by historical and contemporary urban developments. Using collected data from former hostels built for young workers during the communist era, this research maps and analyzes the spatial distribution and living conditions of these housing types at a neighborhood level. Key metrics such as the number of inhabitants, the surface area of rooms, the current occupancy rates, and the number of unoccupied rooms were collected. Additionally, residential segregation is measured using indices of dissimilarity, isolation, exposure, concentration, and centralization, providing a comprehensive view of the socio-spatial divides within the city. The findings indicate significant disparities between these buildings with unsuitable living conditions and the newer residential developments, revealing a clear urban divide. No differences have been identified in terms of access to urban services like education, health, green areas, banks, or supermarkets, despite the appropriate location differences being noted in access to water and gas supply, and internet services. This study contributes to the understanding of how housing types and access to services in Craiova shape patterns of residential segregation, and it suggests policy interventions aimed at mitigating the negative impacts of these urban divides. Full article

Work is a key social determinant of mental health, and adverse organizational conditions in healthcare settings increase psychosocial risks. Leadership influences workplace well-being, yet its impact on mental health and gender inequalities remains underexplored. Despite the feminization of the health sector, disparities persist in leadership access, role expectations, and work–family reconciliation, exacerbating occupational stress. Aims: This study examines leadership practices in public hospitals, focusing on their relationship with mental health, organizational dimensions (recognition and role stress), and gender disparities. It explores the perspectives of both workers and managers to understand how leadership shapes workplace conditions and well-being. Methods: A qualitative, cross-sectional study was conducted as part of the FONDECYT project 1220547. Semi-structured interviews were conducted with 64 workers from public hospitals in Santiago, Chile, including clinical and administrative staff. The analysis supported by Grounded Theory identified key categories: constructive and destructive leadership, recognition, role stress, and gender disparities in leadership. Results: Constructive leadership—characterized by communication, fairness, and recognition—was linked to a healthier work environment and improved well-being. In contrast, destructive leadership (characterized by abuse of power and imposition, or inaction, lack of support, and absence of effective direction) contributed to role stress, workplace mistreatment, and job dissatisfaction. Recognition was a crucial but insufficient motivator, as the lack of formal mechanisms led to frustration. Role stress emerged as a significant risk for well-being, with subordinates experiencing overload, ambiguity, and conflicting expectations. Gender inequalities persisted as women faced more tremendous barriers to leadership and difficulties balancing work and family responsibilities. Workers and managers had differing perspectives, with subordinates prioritizing fairness and recognition while managers emphasized operational constraints. Conclusions: Leadership training should emphasize trust, equity, and recognition to enhance workplace well-being. Institutional policies must address role stress, strengthen formal recognition systems, and promote gender equity in leadership. Future research should integrate quantitative methods to explore leadership’s impact on organizational conditions and mental health outcomes. Full article