Estudio de prevalencia, conocimiento y control de la hipertensión arterial en barrios vulnerables de Argentina / Prevalence, knowledge and control of arterial hypertension in vulnerable neighborhoods of Argentina: A Cross-sectional Study

Introducción: La hipertensión arterial (HTA) representa el principal factor de riesgo individual, con mayor carga a nivel mundial de enfermedades cardiovasculares (ECV). En nuestro país, algunos trabajos epidemiológicos han mostrado marcadas diferencias en las prevalencias de estos factores de riesgo de acuerdo con la población evaluada. Sin embargo, no hay estudios epidemiológicos de evaluación de factores de riesgo cardiovascular exclusivos referentes a barrios vulnerables con muy bajos recursos económicos, socioculturales y poca accesibilidad a los sistemas de salud. Materiales y métodos: Estudio observacional de corte transversal multicéntrico en habitantes de comunas vulnerables de muy bajos recursos, como asentamientos populares y barrios carenciados con muestreo aleatorizado simple de casas. Se realizaron tomas de presión arterial (PA), medidas antropométricas, así como cuestionarios epidemiológicos, económicos y socioculturales. Se describen los hallazgos: prevalencia, conocimiento y control de la PA en las distintas regiones. Se efectuó una regresión logística para determinar las variables independientes a los resultados principales. Resultados: Se analizaron 989 participantes. La prevalencia de HTA global fue de 48,2%. Un total de 82% tenía un índice de masa corporal (IMC) >25 kg/m2. De estos pacientes, 45,3% tenían menos de seis años de educación. Este último aspecto se asoció a mayor prevalencia de HTA de forma independiente. De los hipertensos, 44% desconocían su padecimiento y solo en 17,2% estaba controlado, asociándose esto a tener obra social (OS) y mayor nivel educativo. Únicamente 24% estaban bajo tratamiento combinado. Conclusión: La prevalencia de HTA en barrios vulnerables es elevada, superando a la de otros estratos sociales con niveles de conocimiento, tratamiento y control de la HTA bajos, similar a otras poblaciones. Se detectó un uso insuficiente de la terapia combinada.

Introduction: Hypertension (HTN) represents the primary individual risk factor, contributing significantly to the global burden of cardiovascular diseases (CVD). In our country, epidemiological research has highlighted substantial variations in the prevalence of these risk factors across different populations. However, there is a lack of epidemiological studies assessing exclusive cardiovascular risk factors within vulnerable neighborhoods characterized by extremely limited economic resources, sociocultural challenges, and inadequate healthcare access. Methods: A multicenter cross-sectional observational study was conducted among individuals residing in economically deprived and marginalized communities, including informal settlements and underprivileged neighborhoods. Simple random sampling of households was employed. Blood pressure measurements, anthropometric assessments, and epidemiological, economic, and sociocultural questionnaires were administered. Results encompass prevalence rates, awareness levels, and blood pressure control across diverse regions. Logistic regression was utilized to identify independent variables influencing primary outcomes. Results: A total of 989 participants were analyzed. The overall prevalence of hypertension was 48.2%. About 82% had a body mass index (BMI) >25. Approximately 45.3% had less than 6 years of formal education. Independent association was established between education levels below 6 years and higher hypertension prevalence Among hypertensive individuals, 44% were unaware of their condition, with only 17.2% achieving control, correlated with having health insurance and a higher educational background. Merely 24% were receiving combined therapy. Conclusion: The prevalence of hypertension within vulnerable neighborhoods is alarmingly high, surpassing rates in other social strata. Knowledge, treatment, and control levels of hypertension are suboptimal, comparable to other populations... (AU)

Environmental Exposome and Atrial Fibrillation: Emerging Evidence and Future Directions.

There has been increased awareness of the linkage between environmental exposures and cardiovascular health and disease. Atrial fibrillation is the most common sustained cardiac arrhythmia, affecting millions of people worldwide and contributing to substantial morbidity and mortality. Although numerous studies have explored the role of genetic and lifestyle factors in the development and progression of atrial fibrillation, the potential impact of environmental determinants on this prevalent condition has received comparatively less attention. This review aims to provide a comprehensive overview of the current evidence on environmental determinants of atrial fibrillation, encompassing factors such as air pollution, temperature, humidity, and other meteorologic conditions, noise pollution, greenspace, and the social environment. We discuss the existing evidence from epidemiological and mechanistic studies, critically evaluating the strengths and limitations of these investigations and the potential underlying biological mechanisms through which environmental exposures may affect atrial fibrillation risk. Furthermore, we address the potential implications of these findings for public health and clinical practice and identify knowledge gaps and future research directions in this emerging field.

'Joining the Dots: Linking Prenatal Drug Exposure to Childhood and Adolescence' - research protocol of a population cohort study.

INTRODUCTION: Prenatal drug exposure (PDE) is one of the most important causes of child harm, but comprehensive information about the long-term outcomes of the families is difficult to ascertain. The Joining the Dots cohort study uses linked population data to understand the relationship between services, therapeutic interventions and outcomes of children with PDE. METHODS AND ANALYSIS: Information from routinely collected administrative databases was linked for all births registered in New South Wales (NSW), Australia between 1 July 2001 and 31 December 2020 (n=1 834 550). Outcomes for seven mutually exclusive groups of children with varying prenatal exposure to maternal substances of addiction, including smoking, alcohol, prescription/illicit drugs and neonatal abstinence syndrome will be assessed. Key exposure measures include maternal drug use type, maternal social demographics or social determinants of health, and maternal physical and mental health comorbidities. Key outcome measures will include child mortality, academic standardised testing results, rehospitalisation and maternal survival. Data analysis will be conducted using Stata V.18.0. ETHICS AND DISSEMINATION: Approvals were obtained from the NSW Population and Health Services Research Ethics Committee (29 June 2020; 2019/ETH12716) and the Australian Capital Territory Health Human Research Ethics Committee (11 October 2021; 2021-1231, 2021-1232, 2021-1233); and the Aboriginal Health and Medical Research Council (5 July 2022; 1824/21), and all Australian educational sectors: Board of Studies (government schools), Australian Independent Schools and Catholic Education Commission (D2014/120797). Data were released to researchers in September 2022. Results will be presented in peer-reviewed academic journals and at international conferences. Collaborative efforts from similar datasets in other countries are welcome.

A reassessment of trends and rural-urban/regional differences in the total fertility rate in China, 2000-2020: analyses of the 2020 national census data.

The decline in the total fertility rate (TFR) is a key driver of population change and has important implications for population health and social development. However, China's TFR has been a considerable controversy due to a lack of high-quality data. Therefore, this study used the 2020 national population census of China (NPCC) data and reverse survival method to reassess temporal trends in the TFRs and to reexamine rural-urban differences and regional variations in TFRs from 2000 to 2020 in China. Overall, there were significant gaps between the estimated and reported TFRs before 2020, and the estimated TFRs based on the 2020 NPCC data remained higher than the reported TFRs from government statistics. Although TFRs rebounded shortly in the years after the two-child policy, they have shown a wavelike decline since 2010. Additionally, the estimated TFRs fluctuated below 1.5 children per woman in urban areas compared to above 1.8 in rural areas, but the rural-urban differences continued to decrease. Regarding geographic regional variations, the estimated TFRs in all regions displayed a declining trend during 2010-2020, especially in rural areas. Large decreases of over 25% in TFRs occurred in the north, east, central, and northwest regions. In addition to changing the birth policy, the government and society should adopt comprehensive strategies, including reducing the costs of marriage, childbearing, and child education, as well as promoting work-family balance, to encourage and increase fertility levels.

Dose-Responsive Impacts of Social Frailty on Intrinsic Capacity and Healthy Aging among Community-Dwelling Middle-aged and Older Adults: Stronger Roles of Social Determinants over Biomarkers.

OBJECTIVE: The intricate relationship between social determinants, e.g., social frailty, biomarkers and healthy aging remains largely unexplored, despite the potential for social frailty to impact both intrinsic capacity (IC) and functional ability in the aging process. DESIGN: Retrospective longitudinal cohort study. SETTING AND PARTICIPANTS: Participants aged 50+ years from the Social Environment and Biomarkers of Aging Study (SEBAS) in Taiwan, stratified into three age groups: 50-64, 65-74 and 75+. MEASUREMENTS: Social frailty was defined based on a score derived from four domains: exclusion from general resources, social resources, social activity, and fulfillment of basic social needs. The scores were categorized as score=0 (no social frailty), 1 (social pre-frailty), and 2+ (social frailty). Multivariable logistic regression and Cox proportional hazard models were employed to examine the dose-responsive relationship between social frailty, low IC, functional and psychological health, and mortality. RESULTS: Of 1015 study participants, 24.9% and 7.9% were classified as social pre-frailty and social frailty, respectively. No significant differences were observed in most biomarkers between those with social frailty and those without. A dose-responsive relationship was found between social frailty and increased risk of low IC (social pre-frailty: aOR 2.20 [95% CI 1.59-3.04]; social frailty: 5.73 [3.39-9.69]). Similar results were found for functional and psychological health. However, no significant association between social frailty and all-cause mortality was found at the 4-year follow-up (social pre-frailty: aHR 1.52 [95% CI 0.94-2.43]; social frailty: 1.59 [0.81-3.09]). CONCLUSIONS: The significant association between social frailty and low IC, functional limitations, cognitive declines, and depressive symptoms underscores the pressing need for research on intervention strategies to enhance healthy aging in the lifespan course.

Loneliness Predicts Progression of Frailty in Married and Widowed, but Not Unmarried Community Dwelling Older Adults.

BACKGROUND: Loneliness is highly prevalent among older adults and is associated with frailty. Most studies consider loneliness in isolation without consideration for structural and functional measures of social relationships - and longitudinal studies are scarce. OBJECTIVES: This study examined longitudinal associations between loneliness and frailty and analyzed how structural and functional social measures influence these associations. DESIGN: Linear mixed effects models examined longitudinal associations between loneliness and frailty assessed with the frailty index (scale 0-100). Models were adjusted for baseline age, gender, education, depressive symptoms, global cognition, and structural (e.g., social network, marital status), and functional social measures (e.g., social, cognitive, and physical activity, and social support). PARTICIPANTS: Loneliness and frailty data from 1,931 older adults without dementia at baseline from the Rush Memory and Aging Project were examined (mean age 79.6 ± 7.7 years, 74.9% female). MEASUREMENTS: Baseline loneliness assessed by the de Jong Gierveld Loneliness Scale was the predictor of interest. RESULTS: Frailty increased significantly over a mean follow-up period of 4.6 years. Effects of loneliness on frailty were modified by marital status. Loneliness predicted an additional accumulation of 0.37 and 0.34 deficits on the frailty index per year in married and widowed individuals respectively, compared to those who were not lonely (married: p=0.009, CI 0.09, 0.64; widowed: p=0.005, CI 0.1, 0.58). Loneliness did not predict frailty progression in unmarried individuals. CONCLUSIONS: Loneliness predicts frailty progression, highlighting the importance of social determinants on physical health in aging.

A Novel Curriculum for Internal Medicine Residents to Care for High-Need, High-Cost Patients.

OBJECTIVES: High-need, high-cost (HNHC) patients represent a small proportion of patients in the US, but result in disproportionately higher healthcare utilization. Teaching Internal Medicine (IM) resident trainees to provide high value care for HNHC patients is critical. We sought to improve resident attitudes and increase clinical skills associated with treating HNHC patients by creating a curriculum that leveraged the UCLA Extensivist Program, a patient-centered medical home for HNHC patients. METHODS: We developed a curriculum for PGY-2 and PGY-3 IM residents centered on caring for HNHC patients over the course of 6, 4h sessions during 1 academic year. Participants completed pre- and post-intervention surveys assessing self-rated attitudes and skills associated with caring for an HNHC patient population. RESULTS: Twenty-one IM residents completed the curriculum and 41 were in the control group. There were no statistically significant differences in assessed attitudes and skills, but there were trends of improvement, including a decrease in participants who agreed or strongly agreed they felt overwhelmed when seeing patients for posthospital discharge follow up (45.0% pre- to 41.7% post-intervention) and an increase in participants who agreed or strongly agreed they have the skills to successfully transition HNHC patients between inpatient and ambulatory settings (20.0% pre- to 33.3% post-intervention). Participants reported better understanding of resources available to HNHC patients, effective coordination of transitions of care, and comprehensive assessment of social determinants of health. CONCLUSION: A curriculum to improve resident attitudes and skills associated with caring for HNHC patients was successfully implemented in an IM program at a large academic medical center. The curriculum may be adapted for other training programs; long-term training woven throughout training may be important to significantly improve resident education on how to care for HNHC patients.

A mixed-method evaluation of implementation determinants for chaplain intervention in a hospital setting.

Healthcare chaplains address broad social and emotional dimensions of care within a pluralistic religious landscape. Although the development and evaluation of chaplaincy interventions has advanced the field, little research has investigated factors influencing the implementation of new chaplain interventions. In this mixed-method study, we examined attitudes about evidence-based interventions held by chaplain residents (n = 39) at the outset of an ACPE-accredited residency program in the southeast United States. We also used semi-structured interviews (n = 9) to examine residents' attitudes, beliefs, and decision-making processes after they trained in the delivery of a novel manualized intervention, Compassion-Centered Spiritual Health (CCSH). Most residents reported favorable attitudes toward manualized approaches prior to training. Interviews revealed complex decision-making processes and highlighted personal motivations and challenges to learning and implementing CCSH. Implementation science can reveal factors related to motivation, intention, and training that may be optimized to improve the implementation of healthcare chaplaincy interventions.

Illuminating the landscape of high-level clinical trial opportunities in the All of Us Research Program.

OBJECTIVE: With its size and diversity, the All of Us Research Program has the potential to power and improve representation in clinical trials through ancillary studies like Nutrition for Precision Health. We sought to characterize high-level trial opportunities for the diverse participants and sponsors of future trial investment. MATERIALS AND METHODS: We matched All of Us participants with available trials on ClinicalTrials.gov based on medical conditions, age, sex, and geographic location. Based on the number of matched trials, we (1) developed the Trial Opportunities Compass (TOC) to help sponsors assess trial investment portfolios, (2) characterized the landscape of trial opportunities in a phenome-wide association study (PheWAS), and (3) assessed the relationship between trial opportunities and social determinants of health (SDoH) to identify potential barriers to trial participation. RESULTS: Our study included 181 529 All of Us participants and 18 634 trials. The TOC identified opportunities for portfolio investment and gaps in currently available trials across federal, industrial, and academic sponsors. PheWAS results revealed an emphasis on mental disorder-related trials, with anxiety disorder having the highest adjusted increase in the number of matched trials (59% [95% CI, 57-62]; P < 1e-300). Participants from certain communities underrepresented in biomedical research, including self-reported racial and ethnic minorities, had more matched trials after adjusting for other factors. Living in a nonmetropolitan area was associated with up to 13.1 times fewer matched trials. DISCUSSION AND CONCLUSION: All of Us data are a valuable resource for identifying trial opportunities to inform trial portfolio planning. Characterizing these opportunities with consideration for SDoH can provide guidance on prioritizing the most pressing barriers to trial participation.

Applying Social Practice Theory to Explore Australian Preschool Children's Oral Health.

INTRODUCTION: Despite substantial research and provision of dental care, significant morbidity remains for children's oral health. Guided by social practice theory (SPT), this research moves away from the often-ineffective focus on changing individual behavior to rethinking the centrality of the social world in promoting or undermining oral health outcomes. We define social practice as a routinized relational activity linking and integrating certain elements (competence, materials, and meanings) into the performance of a practice that is reproduced across time and space. OBJECTIVE: To investigate oral health in preschool children in Perth, Western Australia, using social practice theory. METHODS: With no definitive methodology for investigating SPT, we chose focused ethnography as a problem-focused, context-specific approach using mainly interviews to investigate participants' experience caring for their children's oral health. The focus of analysis was the practice of oral health care, not individual behavior, where themes identified from participants' transcripts were organized into categories of elements and performance. RESULTS: Eleven parents, all of whom were married or partnered, were interviewed in 2021. Findings identified social practices relevant to oral health within parenting and family relations linked to routine daily activities, including shopping, consumption of food and beverages, and toothbrushing. Oral health literacy was reflected in integrating competence, materials, and meanings into performing oral health care, notably preferences for children to drink water over sugary beverages and information often being sourced from social media and mothers' groups rather than health providers. CONCLUSION: Focusing on social practices as the unit of analysis offers a more layered understanding of elements in young children's oral health care that can indicate where the problem may lie. Findings provide an opportunity to consider future research and policy directions in children's oral health. KNOWLEDGE TRANSFER STATEMENT: Examining social practices related to young children's oral health care identifies parents/carers' knowledge about, for example, toothbrushing, the resources required, and why toothbrushing is important. Analyzing these separate elements can reveal both enablers and barriers to oral health care. This provides researchers, clinicians and policymakers an opportunity to focus on not changing individual behavior but understanding how social context impacts parents/carers' capacity to make optimum decisions around young children's oral health.

Assessing social disparities in inpatient vs. outpatient arthroplasty: a in-state database analysis.

INTRODUCTION: Given the growing emphasis on patient outcomes, including postoperative complications, in total joint arthroplasty (TJA), investigating the rise of outpatient arthroplasty is warranted. Concerns exist over the safety of discharging patients home on the same day due to increased readmission and complication rates. However, psychological benefits and lower costs provide an incentive for outpatient arthroplasty. The influence of social determinants of health disparities on outpatient arthroplasty remains unexplored. One metric that assesses social disparities, including the following individual components: socioeconomic status, household composition, minority status, and housing and transportation, is the Social Vulnerability Index (SVI). As such, we aimed to compare: (1) mean overall SVI and mean SVI for each component and (2) risk factors for total complications between patients undergoing inpatient and outpatient arthroplasty. METHODS: Patients who underwent TJA between January 1, 2022 and December 31, 2022 were identified. Data were drawn from the Maryland State Inpatient Database (SID). A total of 7817 patients had TJA within this time period. Patients were divided into inpatient arthroplasty (n = 1429) and outpatient arthroplasty (n = 6338). The mean SVI was compared between inpatient and outpatient procedures for each themed score. The SVI identifies communities that may need support cause by external stresses on human health based on four themed scores: socioeconomic status; household composition and disability; minority status and language; and housing and transportation. The SVI uses the United States Census data to rank census tracts for each individual theme, as well as an overall social vulnerability score. The higher the SVI, the more social vulnerability, or resources needed to thrive in that area. Multivariate logistic regression analyses were performed to identify independent risk factors for total complications following TJA after controlling for risk factors and patient comorbidities. Total complications included: infection, aseptic loosening, dislocation, arthrofibrosis, mechanical complication, pain, and periprosthetic fracture. RESULTS: Patients who had inpatient arthroplasty had higher overall SVI scores (0.45 vs. 0.42, P < 0.001). The SVI scores were higher for patients who had inpatient arthroplasty for socioeconomic status (0.36 vs. 0.32, P < 0.001), minority status and language (0.76 vs. 0.74, P < 0.001), and housing and transportation (0.53 vs. 0.50, P < 0.001) compared to outpatient arthroplasty, respectively. There was no difference between inpatient and outpatient arthroplasty for household composition and disability (0.41 vs. 0.41, P = 0.99). When controlling for comorbidities, inpatient arthroplasty [Odds Ratio (OR) 1.91, 95% Confidence Interval (CI) 1.23-2.95, P = 0.004], hypertension (OR 2.11, 95% CI 1.23-3.62, P = 0.007), and housing and transportation (OR 2.00, 95% CI 1.17-3.42, P = 0.012) were independent risk factors for total complications. CONCLUSION: Inpatient arthroplasty was associated with increased social disparities across several components of deprivation as well as an independent risk factor total complications following TJA. To the best of our knowledge, this study is the first to examine the negative repercussions of inpatient arthroplasty through the lens of social disparities and can target specific areas for intervention.

Advocating for population health: The role of public health practitioners in the age of artificial intelligence.

Over the past decade, artificial intelligence (AI) has begun to transform Canadian organizations, driven by the promise of improved efficiency, better decision-making, and enhanced client experience. While AI holds great opportunities, there are also near-term impacts on the determinants of health and population health equity that are already emerging. If adoption is unregulated, there is a substantial risk that health inequities could be exacerbated through intended or unintended biases embedded in AI systems. New economic opportunities could be disproportionately leveraged by already privileged workers and owners of AI systems, reinforcing prevailing power dynamics. AI could also detrimentally affect population well-being by replacing human interactions rather than fostering social connectedness. Furthermore, AI-powered health misinformation could undermine effective public health communication. To respond to these challenges, public health must assess and report on the health equity impacts of AI, inform implementation to reduce health inequities, and facilitate intersectoral partnerships to foster development of policies and regulatory frameworks to mitigate risks. This commentary highlights AI's near-term risks for population health to inform a public health response.

RéSUMé: Au cours de la dernière décennie, l'intelligence artificielle (IA) a commencé à transformer les organismes canadiens en leur promettant une plus grande efficience, de meilleurs processus décisionnels et une expérience client enrichie. Bien qu'elle recèle d'immenses possibilités, l'IA aura des effets à court terme ­ qui se font d'ailleurs déjà sentir ­ sur les déterminants de la santé et sur l'équité en santé des populations. Si son adoption n'est pas réglementée, il se peut très bien que les iniquités en santé continuent d'être exacerbées par les préjugés, intentionnels ou non, ancrés dans les systèmes d'IA. Les nouvelles possibilités économiques pourraient être démesurément exploitées par les travailleurs et les travailleuses déjà privilégiés et par les propriétaires des systèmes d'IA, renforçant ainsi la dynamique de pouvoir existante. L'IA pourrait aussi nuire au bien-être des populations en remplaçant les interactions humaines au lieu de favoriser la connexité sociale. De plus, la mésinformation sur la santé alimentée par l'IA pourrait réduire l'efficacité des messages de santé publique. Pour relever ces défis, la santé publique devra évaluer et communiquer les effets de l'IA sur l'équité en santé, en modérer la mise en œuvre pour réduire les iniquités en santé, et faciliter des partenariats intersectoriels pour éclairer l'élaboration de politiques et de cadres réglementaires d'atténuation des risques. Le présent commentaire fait ressortir les risques à court terme de l'IA pour la santé des populations afin d'éclairer la riposte de la santé publique.

Impact of COVID-19 Pandemic on Social Determinants of Health Issues of Marginalized Black and Asian Communities: A Social Media Analysis Empowered by Natural Language Processing.

PURPOSE: This study aims to understand the impact of the COVID-19 pandemic on social determinants of health (SDOH) of marginalized racial/ethnic US population groups, specifically African Americans and Asians, by leveraging natural language processing (NLP) and machine learning (ML) techniques on race-related spatiotemporal social media text data. Specifically, this study establishes the extent to which Latent Dirichlet Allocation (LDA) and Gibbs Sampling Dirichlet Multinomial Mixture (GSDMM)-based topic modeling determines social determinants of health (SDOH) categories, and how adequately custom named-entity recognition (NER) detects key SDOH factors from a race/ethnicity-related Reddit data corpus. METHODS: In this study, we collected race/ethnicity-specific data from 5 location subreddits including New York City, NY; Los Angeles, CA; Chicago, IL; Philadelphia, PA; and Houston, TX from March to December 2019 (before COVID-19 pandemic) and from March to December 2020 (during COVID-19 pandemic). Next, we applied methods from natural language processing and machine learning to analyze SDOH issues from extracted Reddit comments and conversation threads using feature engineering, topic modeling, and custom named-entity recognition (NER). RESULTS: Topic modeling identified 35 SDOH-related topics. The SDOH-based custom NER analyses revealed that the COVID-19 pandemic significantly impacted SDOH issues of marginalized Black and Asian communities. On average, the Social and Community Context (SCC) category of SDOH had the highest percent increase (366%) from the pre-pandemic period to the pandemic period across all locations and population groups. Some of the detected SCC issues were racism, protests, arrests, immigration, police brutality, hate crime, white supremacy, and discrimination. CONCLUSION: Reddit social media platform can be an alternative source to assess the SDOH issues of marginalized Black and Asian communities during the COVID-19 pandemic. By employing NLP/ML techniques such as LDA/GSDMM-based topic modeling and custom NER on a race/ethnicity-specific Reddit corpus, we uncovered various SDOH issues affecting marginalized Black and Asian communities that were significantly worsened during the COVID-19 pandemic. As a result of conducting this research, we recommend that researchers, healthcare providers, and governments utilize social media and collaboratively formulate responses and policies that will address SDOH issues during public health crises.

Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias.

OBJECTIVE: To develop a natural language processing (NLP) package to extract social determinants of health (SDoH) from clinical narratives, examine the bias among race and gender groups, test the generalizability of extracting SDoH for different disease groups, and examine population-level extraction ratio. METHODS: We developed SDoH corpora using clinical notes identified at the University of Florida (UF) Health. We systematically compared 7 transformer-based large language models (LLMs) and developed an open-source package - SODA (i.e., SOcial DeterminAnts) to facilitate SDoH extraction from clinical narratives. We examined the performance and potential bias of SODA for different race and gender groups, tested the generalizability of SODA using two disease domains including cancer and opioid use, and explored strategies for improvement. We applied SODA to extract 19 categories of SDoH from the breast (n = 7,971), lung (n = 11,804), and colorectal cancer (n = 6,240) cohorts to assess patient-level extraction ratio and examine the differences among race and gender groups. RESULTS: We developed an SDoH corpus using 629 clinical notes of cancer patients with annotations of 13,193 SDoH concepts/attributes from 19 categories of SDoH, and another cross-disease validation corpus using 200 notes from opioid use patients with 4,342 SDoH concepts/attributes. We compared 7 transformer models and the GatorTron model achieved the best mean average strict/lenient F1 scores of 0.9122 and 0.9367 for SDoH concept extraction and 0.9584 and 0.9593 for linking attributes to SDoH concepts. There is a small performance gap (∼4%) between Males and Females, but a large performance gap (>16 %) among race groups. The performance dropped when we applied the cancer SDoH model to the opioid cohort; fine-tuning using a smaller opioid SDoH corpus improved the performance. The extraction ratio varied in the three cancer cohorts, in which 10 SDoH could be extracted from over 70 % of cancer patients, but 9 SDoH could be extracted from less than 70 % of cancer patients. Individuals from the White and Black groups have a higher extraction ratio than other minority race groups. CONCLUSIONS: Our SODA package achieved good performance in extracting 19 categories of SDoH from clinical narratives. The SODA package with pre-trained transformer models is available at https://github.com/uf-hobi-informatics-lab/SODA_Docker.

Migration process of Venezuelan women to Brazil: living conditions and use of health services in Manaus and Boa Vista, 2018-2021.

BACKGROUND: The last decade saw the emergence of a new significant migration corridor due to the mass migration of Venezuelans to neighboring countries in South America. Since 2018, Brazil became the third host country of Venezuelan displaced populations. Little is known about how migratory processes affect needs, access to social programs, and public health services of migrant women. The goal of this study is to shed light on the socio-economic profile, living conditions, and use of health services of Venezuelan migrant women in two main reception cities in Brazil. METHODS: A survey was conducted using respondent-driven sampling (RDS) in the cities of Boa Vista (Roraima), and Manaus (Amazonas). The study included 2012 Venezuelan migrant women aged between 15 and 49 years old who migrated from Venezuela to Brazil between 2018 and 2021. Relative prevalence was calculated, and the χ2 test was used to analyse the homogeneity of proportions. All analyses considered the complex sampling. RESULTS: The main reasons for migrating relate to difficulties obtaining food (54%) and accessing health services (37.8%) in their country of origin. They were young and mixed race (65.7%) and had high school education (69.9%). In Manaus, 3.7% of the interviewees declared that they had no family income in the last month, while in Boa Vista, it was higher (66.2%) (p-value < 0.001). Almost one-third of them sought health care in the last 15 days, and 95% of them received care. The residents of Boa Vista arrived more recently and family income and access to paid work improved with time of residence in Brazil. CONCLUSIONS: Given the increasing flow of Venezuelan migrants crossing to Brazil, a reception system was established for the provision of food, shelter, access to health services, and income transfer programs to migrants. This was the case despite high unemployment and poverty levels and income inequality, particularly in the city of Boa Vista. However, the majority had legal migrant status and had access to the public and universal healthcare system in Brazil (SUS). The use of the SUS was similar in both cities, acting as a buffer for the differences in opportunities offered.

Psychosocial determinants of functional independence among older adults: A systematic review and meta-analysis.

Background: In current years, the increase in older population has led to creating one of the main public health challenges, worldwide. Because of the special characteristics of older adults, this age group is exposed to possible problems, such as mental and physical disorders, that usually affect their functional independence. The study aimed to determine the psychosocial determinants (e.g., depression, social support, and self-efficacy) affecting functional independence among older population. Methods: Our search was conducted on three international databases (Web of Sciences, PubMed/Medline, and Scopus) for all the observational studies (cross-sectional, cohort or longitudinal designs) on the social and psychological determinants of functional independence among older adults. Papers published in English without limitation of time were reviewed from inception to 26 August 2023. The quality assessment tool was the Newcastle-Ottawa Scale (NOS). The I2 index was used to quantify the degree of heterogeneity among the studies. In the case of heterogeneity higher than 50%, the random effects model has been used for overall estimation of the effects; otherwise, the fixed effects model was used. The pooled associations were expressed as odds ratio (OR) and 95% confidence intervals (CIs). Stata version 14 software (StataCorp LP) was used for data analysis. The significance level was considered at 0.05. Results: In the initial search, 6978 articles were retrieved, and finally, considering the inclusion criteria, 46 articles were examined. Finally, 18 articles were eligible for meta-analysis. The findings indicated that among all the determinants affecting functional independence among older adults, depression could lead to a 76% increase in functional dependence. Conclusion: The findings provide a statistically significant relationship between psychosocial factors and functional independence. Depression was the strongest determinant of functional dependence among older adults.

Assessing Differences in mHealth Usability and App Experiences Among Young African American Women: Secondary Analysis of a Randomized Controlled Trial.

BACKGROUND: In North Carolina, HIV continues to disproportionately affect young African American women. Although mobile health (mHealth) technology appears to be a tool capable of making public health information more accessible for key populations, previous technology use and social determinants may impact users' mHealth experiences. OBJECTIVE: The objective of this study was to evaluate mHealth usability, assessing differences based on previous technology use and social determinants among a sample of African American women in emerging adulthood. METHODS: As part of a National Institute on Drug Abuse-funded randomized controlled trial with African American women (aged 18-25 years), counties were assigned to receive an evidence-based HIV risk reduction intervention through mHealth and participants were asked to complete usability surveys at 6- and 12-month follow-ups. Participants' first survey responses were analyzed through 2-tailed t tests and linear regression models to examine associations with previous technology use and social determinants (P<.05). RESULTS: The mean System Usability Scale (SUS) score was 69.2 (SD 17.9; n=159), which was higher than the threshold of acceptability (68.0). Participants who had previously used a tablet indicated higher usability compared to participants without previous use (mean 72.9, SD 18.1 vs mean 57.6, SD 11.4; P<.001), and participants with previous smartphone use also reported higher usability compared to participants without previous use (mean 71.9, SD 18.3 vs mean 58.0, SD 10.7; P<.001). Differences in SUS scores were observed among those reporting homelessness (mean 58.3, SD 19.0 vs mean 70.8, SD 17.2; P=.01), unemployment (mean 65.9, SD 17.2 vs mean 71.6, SD 18.1; P=.04), or current school enrollment (mean 73.2, SD 18.5 vs mean 65.4, SD 16.5; P=.006). Statistically significant associations were not observed for food insecurity (mean 67.3, SD 18.6 vs mean 69.9, SD 17.7; P=.45). CONCLUSIONS: Although above-average usability was observed overall, these findings demonstrate differences in mHealth usability based on past and current life experiences. As mHealth interventions become more prevalent, these findings may have important implications for ensuring that mHealth apps improve the reach of evidence-based interventions. TRIAL REGISTRATION: ClinicalTrials.gov NCT02965014; https://clinicaltrials.gov/study/NCT02965014. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1186/s12889-018-5796-8.

Assessing cognitive impairment in home-dwelling Chinese elders aged 80+: a detailed survey of 13,000 participants focusing on demographic factors, social engagement, and disease prevalence.

Introduction: Cognitive Impairment (CI) in the elderly, encompassing conditions ranging from Mild Cognitive Impairment (MCI) to dementia, represents a growing public health concern globally. This study aims to investigate the prevalence and correlates of CI among individuals aged 80 and above. Methods: The study conducts 13,027 elderly individual's door-to-door surveys, followed by the cross-tabulation of analysis data, logistic regression analysis, and health condition assessments to examine various determinants of CI. Results: The current study's key findings demonstrate sub-statical correlations between CI and various factors, including educational attainment, marital status, and gender. Pronounced differences are evident between urban and rural demographics. Furthermore, aspects of social engagement, notably communication proficiency and sensory capabilities, exhibit a strong association with CI. Logistic regression analysis highlights that residing in rural areas (Odds Ratio [OR] = 0.637) and being female (OR = 0.71) are linked to a decreased risk of CI. In contrast, behavioral and health-related variables present a complex picture. Specifically, aggressive behavior (Adjusted OR = 1.881) and symptoms of depression (Adjusted OR = 0.549) contrast with conditions such as asthma (OR= 2.857) and cerebral infarction (OR=1.348), which elevate the risk of CI. Intriguingly, hyperlipidemia (OR= 0.671) appears to confer a protective effect against CI. Conclusion: The study highlights the complexity of factors affecting CI in the elderly, advocating for a comprehensive approach to understanding and managing cognitive health.

Intersectionality on the perception of health in two cross-national surveys (WVS and EVS).

This article focuses on the health perceptions of people across social strata and nations using the combined dataset of the World Values Survey and the European Values Study (EVS/WVS). An intercategorical intersectional analysis model was developed to examine the social determinants underlying differences in health perceptions. Using logistic regression of the interactions between sex, age, level of educational attainment and income, we calculated the impact of these variables (main effects) and their interactions within the intersecting categories on health perceptions. The group with the best perception of their health includes men aged 16-49, with a high income and an upper-middle level of education. Comparative analysis has been carried out to identify differences in the influence of intersectional categories across countries. Of particular relevance is the number of Eastern European countries where the perception of people aged 50 and over with low income is very poor.