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Building on our strategic framework and operational model, we will discuss findings from our ethnographic study entitled, "The Impact of Catastrophic Injury Exposure on Resilience in Special Operations Surgical Teams (SOST)." Our goal is to establish that medical-martial creativity supports Special Operation Forces (SOF) medics' ability to fluidly modulate pressure amid real-time military medical decision-making in austere environments. We will use qualitative quotes to explore how SOST medics express medical-martial creativity in support of unconventional resilience. We continue to highlight tactical engagement by using bag sets as a metaphor for understanding the practical performance of this social determinant. To achieve our goals, we will: 1) define the social determinant of medical-martial creativity and provide a brief background on creativity; 2) thematize various ways in which medical-martial creativity is optimized or degraded; and 3) relate tactical engagement with medical-martial creativity to our metaphor of bag sets. We conclude by gesturing to how medical-martial creativity enables SOF medics' ingenuity, which allows them to freely maneuver complex real-time decision-making to support SOF mission success.

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BACKGROUND: Social determinants of health (SDoH) are increasingly recognized as crucial factors affecting the well-being of pediatric chronic kidney disease (CKD) patients. This study explores the impact of SDoH on the quality of life (QoL) of children with CKD in Saudi Arabia. METHODS: This observational, descriptive, cross-sectional study included 50 participants with CKD stages three to five, as well as children with end-stage renal disease (ESRD) undergoing peritoneal dialysis (PD) or hemodialysis (HD) in Riyadh, Saudi Arabia. Data were collected from children and their caregivers using a validated Arabic-adapted version of the Pediatric Quality of Life Inventory (PedsQL) 3.0 and an SDoH survey. RESULTS: The study revealed that access to education significantly affects pediatric QoL (H/Z score 2.825; P-value 0.005), and the lack of dietary recommendations was identified as a critical factor (H/Z score 1.441; P-value 0.029). ESRD patients on PD from larger families reported better QoL, whereas lower family income was associated with reduced QoL in PD patients (P-value 0.048). Compared to those in earlier stages of CKD, ESRD patients showed lower QoL (H/Z score 2.154; P-value 0.031). CONCLUSION: Our study provides initial insights into the relationship between SDoH and the QoL of children with CKD in Saudi Arabia. It calls for a comprehensive approach that includes these determinants in care strategies to improve patient outcomes and QoL.

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OBJECTIVE: Food insecurity (FI) is a critical social determinant of poor psychosocial health. While data on the specific roles of sex and age in the FI-loneliness link among older adults are limited, the underlying mechanisms are largely unknown. This study examines the age-sex-specific associations of FI with loneliness among older adults in Ghana and quantifies the extent to which psychosomatic factors mediate the association. METHODS: We analyzed cross-sectional data from the Aging, Health, Psychological, and Health-seeking Behavior Study in Ghana. The past 30-day FI was assessed using items on hunger and breakfast skipping frequency due to a lack of resources. We assessed loneliness severity with the University of California, Los Angeles 3-item Loneliness Scale. Multivariable OLS regressions and bootstrapping mediation analysis using the Hayes PROCESS macro plug-in were used to evaluate the associations. RESULTS: We included 1,201 individuals aged ≥50 years (mean = 62.9 [SD = 11.9]; women = 63.3%). The prevalence of loneliness was 17.7%. The prevalence of moderate and severe FI was 44.0% and 8.5%, respectively. In the adjusted model, greater FI was significantly associated with loneliness severity (B = .22, SE = .029, p < .001). We found significant interactive effects of FI × age (B = -.17, SE = .023, p < .01) and FI × sex (B = -.28, SE = .036, p < .001) on loneliness. Thus, the FI-loneliness link was respectively more marked among women (B = .25, SE = .035, p < .001) and ≥65 age groups (B = .34, SE = .041, p < .001) than men (B = .16, SE = .051, p < .01) and those aged 50-64 (B = .22; SE = .040, p < .001). Finally, comorbid depression/anxiety (41.07%), hopelessness (48.6%), worthlessness (42.1%), functional limitations (8.2%), and pain severity (6.4%) mediated the FI-loneliness association. CONCLUSIONS: Age- and sex-specific associations between FI and loneliness exist among older Ghanaians. Addressing FI in concert with psychosomatic problems in older adults may contribute meaningfully to reducing loneliness in later life.

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Background: Adverse social determinants of health (SDoH) have been associated with cardiometabolic disease; however, disparities in cardiometabolic outcomes are rarely the result of a single risk factor. Objective: This study aimed to identify and characterize SDoH phenotypes based on patient-reported and neighborhood-level data from the institutional electronic medical record and evaluate the prevalence of diabetes, obesity, and other cardiometabolic diseases by phenotype status. Methods: Patient-reported SDoH were collected (January to December 2020) and neighborhood-level social vulnerability, neighborhood socioeconomic status, and rurality were linked via census tract to geocoded patient addresses. Diabetes status was coded in the electronic medical record using International Classification of Diseases codes; obesity was defined using measured BMI ≥30 kg/m2. Latent class analysis was used to identify clusters of SDoH (eg, phenotypes); we then examined differences in the prevalence of cardiometabolic conditions based on phenotype status using prevalence ratios (PRs). Results: Complete data were available for analysis for 2380 patients (mean age 53, SD 16 years; n=1405, 59% female; n=1198, 50% non-White). Roughly 8% (n=179) reported housing insecurity, 30% (n=710) reported resource needs (food, health care, or utilities), and 49% (n=1158) lived in a high-vulnerability census tract. We identified 3 patient SDoH phenotypes: (1) high social risk, defined largely by self-reported SDoH (n=217, 9%); (2) adverse neighborhood SDoH (n=1353, 56%), defined largely by adverse neighborhood-level measures; and (3) low social risk (n=810, 34%), defined as low individual- and neighborhood-level risks. Patients with an adverse neighborhood SDoH phenotype had higher prevalence of diagnosed type 2 diabetes (PR 1.19, 95% CI 1.06-1.33), hypertension (PR 1.14, 95% CI 1.02-1.27), peripheral vascular disease (PR 1.46, 95% CI 1.09-1.97), and heart failure (PR 1.46, 95% CI 1.20-1.79). Conclusions: Patients with the adverse neighborhood SDoH phenotype had higher prevalence of poor cardiometabolic conditions compared to phenotypes determined by individual-level characteristics, suggesting that neighborhood environment plays a role, even if individual measures of socioeconomic status are not suboptimal.

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OBJECTIVE: Precarious employment is a plausible stressor, which may adversely affect health. We investigated the association between multidimensional precarious employment and perceived and biological stress in the U.S. METHODS: We used data from waves 4 (2008-2009) and 5 (2016-2018) of the National Longitudinal Study of Adolescent to Adult Health. Eight indicators were mapped to five dimensions of precarious employment to create a continuous score (PES, range: 0-5): material rewards, working-time arrangements, stability, workers' rights, and interpersonal relationships. Perceived stress was constructed from the four-item Cohen's perceived stress score (PSS; range: 0-16; wave 4). We measured biological stress in waves 4 and 5 via C-reactive protein (CRP). Given variability in CRP collection between waves, we treated wave 4 and 5 as cross-sectional. We employed adjusted linear regression models to estimate whether the PES was associated with the PSS in wave 4 (n = 11,510) and CRP in waves 4 (n = 10,343) and 5 (n = 3452). RESULT: Individuals were aged 28 and 37 years on average in wave 4 and 5, respectively. Half were female and most identified as non-Hispanic (NH)-White (∼73 %), followed by NH-Black (∼14 %), Hispanic (∼9 %) and NH-other (∼4 %). Average PES was inversely related to education. The PSS averaged 8.1 (Interquartile Range [IQR] = 7.0,9.0). Average CRP was 4.4 mg/L (IQR = 0.8,5.0) in wave 4 and 3.6 mg/L (IQR = 0.8,4.2) in wave 5. The PES was associated with perceived stress (ß=0.06; 95 % CI = 0.01,0.10) and CRP in wave 5 (ß=0.34; 95 % CI = 0.07,0.62). CONCLUSIONS: Given the deleterious effects of stress on health, policies to reduce precarious employment warrant consideration.

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BACKGROUND: Employment quality stands as a crucial social determinant impacting workers' health. In this study, we investigate the association between low-quality employment and the emergence of suicidal thoughts and planning. METHODS: We analyzed data from 7,797 Korean workers, amounting to 30,945 observations. Low-quality employment was characterized by three primary dimensions: employment insecurity, income inadequacy, and a lack of rights and protection. We employed a generalized estimating equation to probe the link between experiencing low-quality employment and the occurrence of suicidal thought and planning within the subsequent year. Odds ratios (OR) and 95% confidence intervals (CI) were estimated. RESULTS: The overall incidence rates for suicidal thought and planning were 1.5% and 0.2%, respectively, across the observations. Workers with the lowest employment quality demonstrated higher propensities to develop both suicidal thought (OR: 2.05, 95% CI: 1.37-3.06) and planning (OR: 3.39, 95% CI: 1.08-10.64) at the following year, compared with workers with the highest overall employment quality. Specifically, daily employment exhibited associations with the onset of suicidal thought (OR: 1.64, 95% CI: 1.17-2.31) and suicide planning (OR: 3.49, 95% CI: 1.54-7.92) when compared to permanent employment. Additionally, individuals in the lowest monthly wage quartile displayed a heightened likelihood of developing suicidal thought (OR: 2.09, CI: 1.36-3.23) compared with those in the highest quartile. CONCLUSION: Our findings suggest that low-quality employment is associated with the onset of suicidal thought and suicide planning at follow-up. Therefore, employment quality is a critical social determinant of workers' mental health.

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In France, the health status of the population is marked by a paradox: good health on average, but significant health inequalities from childhood and throughout life. Social inequalities in health result from unequal distribution of social determinants, which refer to the social, political, economic, cultural and environmental factors that shape the living conditions in which people are born, grow up, live and age.

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Objective: Neighborhood disadvantage is associated with worse health and cognitive outcomes. Morphological similarity network (MSN) is a promising approach to elucidate cortical network patterns underlying complex cognitive functions. We hypothesized that MSNs could capture intricate changes in cortical patterns related to neighborhood disadvantage and cognitive function, potentially explaining some of the risk for later life cognitive impairment among individuals who live in disadvantaged contexts. Methods: This cross-sectional study included cognitively unimpaired participants (n=524, age=62.96±8.377, gender (M:F)=181:343, ADI(L:H) =450,74) from the Wisconsin Alzheimer's Disease Research Center or Wisconsin Registry for Alzheimer's Prevention. Neighborhood disadvantage status was obtained using the Area Deprivation Index (ADI). Cognitive performance was assessed through six tests evaluating memory, executive functioning, and the modified preclinical Alzheimer's cognitive composite (mPACC). Morphological Similarity Networks (MSN) were constructed for each participant based on the similarity in distribution of cortical thickness of brain regions, followed by computation of local and global network features. We used linear regression to examine ADI associations with cognitive scores and MSN features. The mediating effect of MSN features on the relationship between ADI and cognitive performance was statistically assessed. Results: Neighborhood disadvantage showed negative association with category fluency, implicit learning speed, story recall and mPACC scores, indicating worse cognitive function among those living in more disadvantaged neighborhoods. Local network features of frontal and temporal brain regions differed based on ADI status. Centrality of left lateral orbitofrontal region showed a partial mediating effect between association of neighborhood disadvantage and story recall performance. Conclusion: Our findings suggest differences in local cortical organization by neighborhood disadvantage, which also partially mediated the relationship between ADI and cognitive performance, providing a possible network-based mechanism to, in-part, explain the risk for poor cognitive functioning associated with disadvantaged neighborhoods. Future work will examine the exposure to neighborhood disadvantage on structural organization of the brain.

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BACKGROUND: Health has historically been adversely affected by social, economic, and political pandemics. In parallel with the spread of diseases, so do the risks of comorbidity and death associated with their consequences. As a result of the current pandemic, shifting resources and services in resource-poor settings without adequate preparation has intensified negative consequences, which global service interruptions have exacerbated. Pregnant women are especially vulnerable during infectious disease outbreaks, and the current pandemic has significantly impacted them. METHODS: This study used an interpretive phenomenological analysis study with a feminist lens to investigate how women obtained healthcare in Ebonyi, Ogun, and Sokoto states Nigeria during the COVID-19 pandemic. We specifically investigated whether the epidemic influenced women's decisions to seek or avoid healthcare and whether their experiences differed from those outside of it. RESULTS: We identified three superordinate themes: (1) the adoption of new personal health behaviour in response to the pandemic; (2) the pandemic as a temporal equalizer for marginalized individuals; (3) the impacts of the COVID-19 pandemic on maternal health care. In Nigeria, pregnant women were affected in a variety of ways by the COVID-19 epidemic. Women, particularly those socially identified as disabled, had to cross norms of disadvantage and discrimination to seek healthcare because of the pandemic's impact on prescribed healthcare practices, the healthcare system, and the everyday landscapes defined by norms of disadvantage and discrimination. CONCLUSION: It is clear from the current pandemic that stakeholders must begin to strategize and develop plans to limit the effects of future pandemics on maternal healthcare, particularly for low-income women.

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Education is correlated with health literacy, which is a combination of reading and listening skills, data analysis, and decision-making during the necessary health situations. This study aims to evaluate the effect of education on the risk of type 2 diabetes mellitus (T2DM). This is a population-based cross-sectional study using the 2019 nationwide survey data in Korea. There were 3951 study subjects, after excluding participants with missing data for key exposures and outcome variables. Descriptive statistics, χ2 (chi-square) test, and logistic regression were performed to analyze the data. The prevalence of T2DM was associated with educational attainment, sex, age, smoking status, physical activity, carbohydrate intake, and obesity. In the logistic regression model, the odds ratio (OR) of having T2DM was much lower among people educated in college or higher (OR = 0.49, 95% confidence interval [95% CI] = 0.34-0.64) than those with only or without primary education after adjusting for biological factors (sex, age) and health behaviors (smoking status, physical activity, carbohydrate intake, and obesity). This study shows that educational attainment is a significant social determinant influencing health outcomes both directly and indirectly. Therefore, it is necessary to develop policies to reduce the health inequity of T2DM caused by differences in educational attainment.

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OBJECTIVES: We introduce a widely applicable model-based approach for estimating individual-level Social Determinants of Health (SDoH) and evaluate its effectiveness using the All of Us Research Program. MATERIALS AND METHODS: Our approach utilizes aggregated SDoH datasets to estimate individual-level SDoH, demonstrated with examples of no high school diploma (NOHSDP) and no health insurance (UNINSUR) variables. Models are estimated using American Community Survey data and applied to derive individual-level estimates for All of Us participants. We assess concordance between model-based SDoH estimates and self-reported SDoHs in All of Us and examine associations with undiagnosed hypertension and diabetes. RESULTS: Compared to self-reported SDoHs, the area under the curve for NOHSDP is 0.727 (95% CI, 0.724-0.730) and for UNINSUR is 0.730 (95% CI, 0.727-0.733) among the 329 074 All of Us participants, both significantly higher than aggregated SDoHs. The association between model-based NOHSDP and undiagnosed hypertension is concordant with those estimated using self-reported NOHSDP, with a correlation coefficient of 0.649. Similarly, the association between model-based NOHSDP and undiagnosed diabetes is concordant with those estimated using self-reported NOHSDP, with a correlation coefficient of 0.900. DISCUSSION AND CONCLUSION: The model-based SDoH estimation method offers a scalable and easily standardized approach for estimating individual-level SDoHs. Using the All of Us dataset, we demonstrate reasonable concordance between model-based SDoH estimates and self-reported SDoHs, along with consistent associations with health outcomes. Our findings also underscore the critical role of geographic contexts in SDoH estimation and in evaluating the association between SDoHs and health outcomes.

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BACKGROUND: Childcare needs are an understudied social determinant of health. The effect of childcare needs on access to healthcare must be understood to inform health system interventions and policy reform. This study sought to characterize childcare needs, access to childcare, and prior experience with navigating childcare needs in healthcare settings among women in a safety-net population. METHODS: We conducted a cross-sectional study of patient-reported survey data collected in-person between April and October 2019. Surveys were administered in waiting rooms of ambulatory services in a large, urban safety-net health system in Dallas, Texas. Survey respondents were derived from a random convenience sample of women waiting for outpatient appointments. Participants were screened for having children under the age of 13 and/or childcare responsibilities for inclusion in the sample. Outcomes of interest included self-reported delayed or missed care, reasons for delayed or missed care, perceived difficulty in accessing childcare, prior methods for managing childcare during healthcare appointments, and prior experience with childcare centers. RESULTS: Among the 336 respondents (96.7% response rate), 121 (36.0%) reported delaying or missing a mean 3.7 appointments/year. Among women with delayed or missed care, 54.5% reported childcare barriers as the primary reason for deferral of care, greater than transportation (33%) or insurance (25%) barriers. Respondents rated childcare access as more difficult than healthcare access. Delayed or missed care due to childcare was more common among White (68.8%) and Black (55.0%) women compared to Hispanic women (34.3%). Common methods of navigating childcare needs during scheduled appointments included bringing children to appointments (69.1%) and re-scheduling or missing the scheduled appointment (43.0%). 40.6% of patients reported leaving an appointment before completion due to childcare needs. CONCLUSIONS: Childcare needs are a leading barrier to healthcare among women accessing care in safety-net settings. Unmet childcare needs result in deferral of care, which may impact health outcomes. Childcare access is perceived as more challenging than healthcare access itself. Health system and policy interventions are needed to address childcare as a social determinant of health.

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BACKGROUND: Structural racism produces mental health disparities. While studies have examined the impact of individual factors such as poverty and education, the collective contribution of these elements, as manifestations of structural racism, has been less explored. Milwaukee County, Wisconsin, with its racial and socioeconomic diversity, provides a unique context for this multifactorial investigation. OBJECTIVE: This research aimed to delineate the association between structural racism and mental health disparities in Milwaukee County, using a combination of geospatial and deep learning techniques. We used secondary data sets where all data were aggregated and anonymized before being released by federal agencies. METHODS: We compiled 217 georeferenced explanatory variables across domains, initially deliberately excluding race-based factors to focus on nonracial determinants. This approach was designed to reveal the underlying patterns of risk factors contributing to poor mental health, subsequently reintegrating race to assess the effects of racism quantitatively. The variable selection combined tree-based methods (random forest) and conventional techniques, supported by variance inflation factor and Pearson correlation analysis for multicollinearity mitigation. The geographically weighted random forest model was used to investigate spatial heterogeneity and dependence. Self-organizing maps, combined with K-means clustering, were used to analyze data from Milwaukee communities, focusing on quantifying the impact of structural racism on the prevalence of poor mental health. RESULTS: While 12 influential factors collectively accounted for 95.11% of the variability in mental health across communities, the top 6 factors-smoking, poverty, insufficient sleep, lack of health insurance, employment, and age-were particularly impactful. Predominantly, African American neighborhoods were disproportionately affected, which is 2.23 times more likely to encounter high-risk clusters for poor mental health. CONCLUSIONS: The findings demonstrate that structural racism shapes mental health disparities, with Black community members disproportionately impacted. The multifaceted methodological approach underscores the value of integrating geospatial analysis and deep learning to understand complex social determinants of mental health. These insights highlight the need for targeted interventions, addressing both individual and systemic factors to mitigate mental health disparities rooted in structural racism.

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BACKGROUND: Social prescription is seen as a public health intervention tool with the potential to mitigate social determinants of health. On one side, social prescription is not yet well developed in France, where social workers usually attend to social needs, and historically, there is a deep divide between the health and social sectors. On the other side, discharge coordination is gaining attention in France as a critical tool to improve the quality of care, assessed indirectly using unplanned rehospitalization rates. OBJECTIVE: This study aims to combine social prescription and discharge coordination to assess the need for social prescription and its effect on unplanned rehospitalization rates. METHODS: We conducted a quasi-experimental study in two departments of medicine in a French university hospital in a disadvantaged suburb of Paris over 2 years (October 2019-October 2021). A discharge coordinator screened patients for social prescribing needs and provided services on the spot or referred the patient to the appropriate service when needed. The primary outcome was the description of the services delivered by the discharge coordinator and of its process, as well as the characteristics of the patients in terms of social needs. The secondary outcome was the comparison of unplanned rehospitalization rates after data chaining. RESULTS: A total of 223 patients were included in the intervention arm, with recruitment being disrupted by the COVID-19 pandemic. More than two-thirds of patients (n=154, 69.1%) needed help understanding discharge information. Slightly less than half of the patients (n=98, 43.9%) seen by the discharge coordinator needed social prescribing, encompassing language, housing, health literacy, and financial issues. The social prescribing covered a large range of services, categorized into finding a general practitioner or private sector nurse, including language-matching; referral to a social worker; referral to nongovernmental organization or group activities; support for transportation issues; support for health-related administrative procedures; and support for additional appointments with nonmedical clinicians. All supports were delivered in a highly personalized way. Ethnic data collection was not legally permitted, but for 81% (n=182) of the patients, French was not the mother tongue. After data chaining, rehospitalization rates were compared between 203 patients who received the intervention (n=5, 3.1%) versus 2095 patients who did not (n=51, 2.6%), and there was no statistical difference. CONCLUSIONS: First, our study revealed the breadth of patient's unmet social needs in our university hospital, which caters to an area where the immigrant population is high. The study also revealed the complexity of the discharge coordinator's work, who provided highly personalized support and managed to gain trust. Hospital discharge could be used in France as an opportunity in disadvantaged settings. Eventually, indicators other than the rehospitalization rate should be devised to evaluate the effect of social prescribing and discharge coordination.

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BACKGROUND: For people from asylum-seeking and refugee backgrounds, housing and the re-establishment of home are key social determinants of health. Research highlights the inequities faced by asylum seekers and refugees in the housing markets of high-income resettlement countries, resulting in their overrepresentation in precarious housing. There is also emerging evidence of the relationship between housing and health for this population relating to lack of affordability, insecurity of tenure, and poor suitability (physical and social). The mechanisms by which housing impacts health for this group within these housing contexts, is however, understudied - especially overtime. This qualitative longitudinal study aimed to address this gap. METHODS: Semi-structured interviews were conducted with 25 people from asylum-seeking and refugee backgrounds in South Australia, recruited through a community survey. Thematic analysis of interview data across three time points over three years identified four material and psychosocial mechanisms through which housing contributed to health outcomes via psychological and physical stressors - physical environment; stability; safety; and social connections, support and services. The study also identified additional health promoting resources, particularly elements of ontological security. The dynamics of these indirect and direct mechanisms were further illuminated by considering the impact of international, national and local contexts and a range of intersecting social factors including gender, country/culture of origin, family circumstances, immigration status, language skills, income, and health status. CONCLUSIONS: Rebuilding a sense of home and ontological security is a key resettlement priority and crucial for wellbeing. More comprehensive strategies to facilitate this for refugees and asylum seekers are required.

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The COVID-19 pandemic resulted in significant disruptions for children and youth around the world, especially given school closures and shifts in teaching modes (on-line and hybrid). However, the impact of these disruptions remains unclear given data limitations such as a reliance on cross-sectional and/or short-interval surveys as well as a lack of broad indicators of key outcomes of interest. The current research employs a quasi-experimental design by using an Australian four-year longitudinal survey with student responses from Grade 7 to 10 (aged 12-15 years old) (N = 8,735 from 20 schools) in one education jurisdiction. Responses are available pre-pandemic (2018 and 2019) and during the pandemic (2020 and 2021). Importantly the survey included measures of well-being, mental health and learning engagement as well as potential known school-environment factors that could buffer against adversity: school climate and school identification. The findings were generally in line with key hypotheses; 1) during COVID-19 students' learning engagement and well-being significantly declined and 2) students with more positive school climate or stronger school identification pre-COVID-19 fared better through the disruption of the pandemic. However, these same students suffered from a steeper decline in well-being and engagement which may be explained through the impact of losing meaningful social or group connections. This decline was evident after controlling for gender, academic grade (as a proxy of age), parental education, and socioeconomic status. It is concluded that investing in the social environment of schools is important in crisis preparedness and can facilitate better crisis response among youth.

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Background: Respiratory syncytial virus (RSV) can cause hospitalization in young children and older adults. With vaccines and monoclonal antibody prophylaxis increasingly available, identifying social factors associated with severe illnesses can guide mitigation efforts. Methods: Using data collected by the RSV Hospitalization Surveillance Network from 2016 to 2023, we identified RSV hospitalizations in Tennessee. We linked hospitalization information (eg, patient demographic characteristics and outcome) with population-level variables (eg, social vulnerability and health care insurance coverage) from publicly available data sets using census tract of residence. Hospitalization incidence was calculated and stratified by period (2016-2020 and 2020-2023). We modeled social vulnerability effect on hospitalization incidence using Poisson regression. Results: Among 2687 RSV hospitalizations, there were 677 (25.2%) intensive care unit admissions and 38 (1.4%) deaths. The highest RSV hospitalization incidences occurred among children aged <5 years and adults aged ≥65 years: 272.8 per 100 000 person-years (95% CI, 258.6-287.0) and 60.6 (95% CI, 56.0-65.2), respectively. Having public health insurance was associated with higher hospitalization incidence as compared with not having public insurance: 60.5 per 100 000 person-years (95% CI, 57.6-63.4) vs 14.3 (95% CI, 13.4-15.2). Higher hospitalization incidence was associated with residing in a census tract in the most socially vulnerable quartile vs the least vulnerable quartile after adjusting for age, sex, and period (incidence rate ratio, 1.4; 95% CI, 1.3-1.6). Conclusions: RSV hospitalization was associated with living in more socially vulnerable census tracts. Population measures of social vulnerability might help guide mitigation strategies, including vaccine and monoclonal antibody promotion and provision to reduce RSV hospitalization.

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Introduction Burn injuries are a major mechanism of trauma worldwide, caused by friction, cold, heat, radiation, chemical, or electric sources. Most often, burn injuries occur due to heat contact from hot liquids, solids, or fire, termed scald burns and flame burns, respectively. These types of injuries are complex and carry major injury and mortality risks, especially in pediatric populations. Burn trauma prevention has been a major focus in the US, with initiatives to increase public health outreach and safety measures. Unfortunately, children in socioeconomically disadvantaged situations may face these types of injuries at disproportionately higher rates, and we aim to highlight these disparities, if any, within our Florida community. Materials and methods This study was designed as a retrospective observational analysis using publicly available data from the Florida Health Community Health Assessment Resource Tool Set (CHARTS). Data was extracted for nonfatal burn injuries resulting in ED visits in the years 2018-2020. This data was limited to those ranging from 0 to 19 years old and converted to rates of burn injuries per 100,000. Sociodemographic details for each county were recorded from County Health Rankings & Roadmaps and compared with burn data in each respective county. Frequencies were generated for categorical data, and statistical analyses for burn rates and sociodemographic details were performed with a generalized linear model using a Poisson distribution and bivariate correlation for a p < 0.05. Results In Florida, the median annual burn rate per 100,000 was 136 (IQR: 96-179), with Jackson county holding the highest rate of 323 and Glades, Hardee, and Lafayette each holding a rate of 0. Of the 18 socioeconomic factors examined, a total of five were found to have no statistically significant effect on nonfatal burn injury ED visits: severe housing problems, percentage of Asians, teen births, percentage of children (<18 years) in poverty, and severe housing cost burden. The two most important factors to be found in nonfatal burn ED visits of pediatric patients were the percentage of those younger than 19 years old without health insurance and the average grade level performance of third-grader reading scores. When adjusting for the small sample size using Firth's bias-adjusted estimates and overdispersion, both reading scores and those without insurance play a significant role in pediatric burn injuries. For each increase in a single point in reading scores, the incidence rate ratio decreases by 97.1% (95% CI). For every percentage increase in children insured, there is a 28.8% decrease in pediatric burn injuries (95% CI). Conclusions This analysis highlights increased pediatric burn rates across multiple social determinants of health (SDOH) in all 67 Florida counties. The findings here demonstrate that there may continue to be a disproportionate distribution of burn rates among lower and higher sociodemographic areas. This study further highlights this trend within the Florida community, and continued research will be necessary to meet the needs of lower sociodemographic areas to improve burn rates in vulnerable populations, such as children, who are at increased risk of injury.

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AIMS: Increasing social concern surrounds the potential adverse health effects of precarious employment (PE). In this study, we explored the association between PE and the onset of depressive symptoms. METHODS: A total of 11,555 Korean waged workers (5700 females) contributed 62,217 observations from 2009 to 2022. PE was operationalized as a multidimensional construct, including employment insecurity, income inadequacy and lack of rights and protection. Depressive symptoms were evaluated using the Center for Epidemiological Studies-Depression Scale (11-item version). The association between PE and the onset of depressive symptoms in the subsequent year was estimated using generalized estimating equations. Effect sizes were reported as odds ratio (OR) and 95% confidence interval (CI). RESULTS: The overall incidence of depressive symptoms was 8.3% during the study period. In cross-sectional analysis, daily employment, disguised employment, lower monthly wages and lack of social insurance coverage were associated with concurrent depressive symptoms in both men and women. Longitudinally, fixed-term employment (OR: 1.17, 95% CI: 1.07-1.29), daily employment (OR: 1.64, 95% CI: 1.45-1.85) and disguised employment (OR: 1.36, 95% CI: 1.17-1.57) were associated with the onset of depressive symptoms among the overall sample. Among men, the lowest quartiles of wage were associated with the onset of depressive symptoms (OR: 1.34, 95% CI: 1.13-1.60), while the absence of a trade union was associated among women (OR: 1.18, 95% CI: 1.01-1.39). CONCLUSIONS: Employment insecurity, inadequate income and lack of rights and protection may contribute to depressive symptoms. Therefore, PE serves as a significant social determinant of mental health among workers in Korea. Active policy efforts are warranted to improve the overall quality of employment in the workforce.

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BACKGROUND: Tuberculosis (TB) remains a major public health problem in Nepal, high in settings marked by prevalent gender and social inequities. Various social stratifiers intersect, either privileging or oppressing individuals based on their characteristics and contexts, thereby increasing risks, vulnerabilities and marganilisation associated with TB. This study aimed to assess the inclusiveness of gender and other social stratifiers in key health related national policies and the Health Management Information System (HMIS) of National Tuberculosis Programme (NTP) by conducting an intersectional analysis of TB cases recorded via HMIS. METHODS: A desk review of key policies and the NTP's HMIS was conducted. Retrospective intersectional analysis utilized two secondary data sources: annual NTP report (2017-2021) and records of 628 TB cases via HMIS 6.5 from two TB centres (2017/18-2018/19). Chi-square test and multi-variate analysis was used to assess the association between social stratifers and types of TB, registration category and treatment outcome. RESULTS: Gender, social inclusion and concept of intersectionality are incorporated into various health policies and strategies but lack effective implementation. NTP has initiated the collection of age, sex, ethnicity and location data since 2014/15 through the HMIS. However, only age and sex disaggregated data are routinely reported, leaving recorded social stratifiers of TB patients static without analysis and dissemination. Furthermore, findings from the intersectional analysis using TB secondary data, showed that male more than 25 years exhibited higher odds [adjusted odds ratio (aOR) = 4.95, 95% confidence interval (CI): 1.60-19.06, P = 0.01)] of successful outcome compared to male TB patients less than 25 years. Similarly, sex was significantly associated with types of TB (P < 0.05) whereas both age (P < 0.05) and sex (P < 0.05) were significantly associated with patient registration category (old/new cases). CONCLUSIONS: The results highlight inadequacy in the availability of social stratifiers in the routine HMIS. This limitation hampers the NTP's ability to conduct intersectional analyses, crucial for unveiling the roles of other social determinants of TB. Such limitation underscores the need for more disaggregated data in routine NTP to better inform policies and plans contributing to the development of a more responsive and equitable TB programme and effectively addressing disparities.

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