Psychosocial impacts of the COVID-19 pandemic among settled women: A longitudinal study / Os impactos psicossociais da pandemia de COVID-19 entre mulheres assentadas: estudo longitudinal / Impactos psicosociales de la pandemia de COVID-19 en mujeres de asentamientos rurales: estudio longitudinal

Abstract Objective: to analyze the psychosocial impacts of the COVID-19 pandemic among Brazilian women from rural settlements. Method: this is a quantitative and longitudinal study conducted with 13 settled women. The data were collected between January 2020 and September 2021 using questionnaires on the perception of the social environment (quality of life, social support, self-efficacy), common mental disorder symptoms and sociodemographic aspects. The data were analyzed using descriptive statistics, cluster analysis and variance analysis. Results: intersecting vulnerability conditions were identified that possibly intensified the challenges arising from the pandemic. The Quality of Life physical domain fluctuated differently and inversely according to the mental disorder symptoms. As for the psychological domain, at the end of the segment, an increase over time was identified in the entire sample, as the women's perception was better than before the pandemic. Conclusion: worsening of the participants' physical health deserves to be highlighted and, probably, it can be related to the difficulty accessing health services in this period as well as to the fear of contamination. Despite this, the participants were emotionally resilient throughout the period, including signs of improvement in terms of psychological aspects, suggesting a possible effect of the community organization of the settlement.

Resumo Objetivo: analisar os impactos psicossociais da pandemia de COVID-19 entre mulheres brasileiras de assentamentos rurais. Método: trata-se de um estudo quantitativo longitudinal com 13 mulheres assentadas. Os dados foram coletados entre janeiro de 2020 e setembro de 2021 utilizando questionários sobre a percepção do ambiente social (qualidade de vida, apoio social, autoeficácia), sintomas de transtorno mental comum e aspectos sociodemográficos. Os dados foram analisados por meio de estatística descritiva, análise de agrupamento e de variância. Resultados: foram identificadas condições de vulnerabilidade interseccionadas que, possivelmente, exacerbaram os desafios decorrentes da pandemia. O domínio físico da qualidade de vida oscilou diferentemente e inversamente de acordo com os sintomas de transtorno mental. Quanto ao domínio psicológico, no final do segmento, identificou-se em toda a amostra um incremento ao longo do tempo, pois a percepção das mulheres estava melhor do que antes da pandemia. Conclusão: a piora na saúde física das participantes merece destaque e, provavelmente, pode estar relacionada à dificuldade de acesso aos serviços de saúde neste período bem como ao medo da contaminação. Apesar disso, as participantes apresentaram-se emocionalmente resilientes em todo o período, inclusive, com sinais de melhora em relação aos aspectos psicológicos, sugerindo um possível efeito da organização comunitária do assentamento.

Resumen Objetivo: analizar los impactos psicosociales de la pandemia de COVID-19 en mujeres brasileñas de asentamientos rurales. Método: se trata de un estudio longitudinal cuantitativo con 13 mujeres asentadas. Los datos se recolectaron entre enero de 2020 y septiembre de 2021 mediante cuestionarios sobre percepción del entorno social (calidad de vida, apoyo social, autoeficacia), síntomas de trastorno mental común y aspectos sociodemográficos. Los datos se analizaron mediante estadística descriptiva, análisis de conglomerados y análisis de varianza. Resultados: se identificaron condiciones de vulnerabilidad entrelazadas que posiblemente exacerbaron los desafíos impuestos por la pandemia. El dominio físico de la calidad de vida fluctuó de manera diferente e inversa de acuerdo a los síntomas del trastorno mental. En cuanto al dominio psicológico, al final del segmento, se identificó un aumento en el tiempo en toda la muestra, dado que la percepción de las mujeres era mejor que antes de la pandemia. Conclusión: hay que destacar el empeoramiento de la salud física de las participantes que, probablemente, puede estar relacionado con la dificultad para acceder a los servicios de salud durante ese período y el miedo al contagio. A pesar de eso, las participantes fueron resilientes emocionalmente durante todo el período e, inclusive, tuvieron signos de mejoría en los aspectos psicológicos, lo que sugiere un posible efecto de la organización comunitaria del asentamiento.

Social vulnerability of the people exposed to wildfires in U.S. West Coast states.

Understanding of the vulnerability of populations exposed to wildfires is limited. We used an index from the U.S. Centers for Disease Control and Prevention to assess the social vulnerability of populations exposed to wildfire from 2000-2021 in California, Oregon, and Washington, which accounted for 90% of exposures in the western United States. The number of people exposed to fire from 2000-2010 to 2011-2021 increased substantially, with the largest increase, nearly 250%, for people with high social vulnerability. In Oregon and Washington, a higher percentage of exposed people were highly vulnerable (>40%) than in California (~8%). Increased social vulnerability of populations in burned areas was the primary contributor to increased exposure of the highly vulnerable in California, whereas encroachment of wildfires on vulnerable populations was the primary contributor in Oregon and Washington. Our results emphasize the importance of integrating the vulnerability of at-risk populations in wildfire mitigation and adaptation plans.

Social vulnerability, impacts and adaptations strategies in the face of natural hazards: insight from riverine islands of Bangladesh.

BACKGROUND: Bangladesh is one of the countries at risk of natural disasters due to climate change. In particular, inhabitants of its riverine islands (char) confront ongoing climatic events that heighten their vulnerability. This study aims to assess social vulnerability, impacts, and adaptation strategies to climate change in the riverine island areas of Bangladesh. METHODS: A mixed-method approach incorporating qualitative and quantitative procedures was used on data collected from 180 households of riverine islands in Gaibandha, Bangladesh. The social vulnerability of riverine island communities was assessed based on their adaptation capacity, sensitivity, and exposure to climatic stressors. RESULTS: The findings show that char dwellers' vulnerability, impacts, and adaptation capability to climate change vary significantly depending on their proximity to the mainland. Social vulnerability factors such as geographical location, fragile and low-grade housing conditions, illiteracy and displacement, climate-sensitive occupation and low-income level, and so on caused to the in-height vulnerability level of these particular areas. This study also displays that climate change and its associated hazards cause severe life and livelihood concerns for almost all households. In this case, the riverine dwellers employed several adaptation strategies to enhance their way of life to the disaster brought on changing climate. However, low education facilities, deficiency of useful information on climate change, poor infrastructure, and shortage of money are still the supreme hindrance to the sustainability of adaptation. CONCLUSION: The findings underscore the importance of evaluating the susceptibility of local areas to climate change and emphasize the need for tailored local initiatives and policies to reduce vulnerability and enhance adaptability in communities residing in char households.

Neighborhood Social Vulnerability and Interstage Weight Gain: Evaluating the Role of a Home Monitoring Program.

Background Poor interstage weight gain is a risk factor for adverse outcomes in infants with hypoplastic left heart syndrome. We sought to examine the association of neighborhood social vulnerability and interstage weight gain and determine if this association is modified by enrollment in our institution's Infant Single Ventricle Management and Monitoring Program (ISVMP). Methods and Results We performed a retrospective single-center study of infants with hypoplastic left heart syndrome before (2007-2010) and after (2011-2020) introduction of the ISVMP. The primary outcome was interstage weight gain, and the secondary outcome was interstage growth failure. Multivariable linear and logistic regression models were used to examine the association between the Social Vulnerability Index and the outcomes. We introduced an interaction term into the models to test for effect modification by the ISVMP. We evaluated 217 ISVMP infants and 111 pre-ISVMP historical controls. The Social Vulnerability Index was associated with interstage growth failure (P=0.001); however, enrollment in the ISVMP strongly attenuated this association (P=0.04). Pre-ISVMP, as well as high- and middle-vulnerability infants gained 4 g/d less and were significantly more likely to experience growth failure than low-vulnerability infants (high versus low: adjusted odds ratio [aOR], 12.5 [95% CI, 2.5-62.2]; middle versus low: aOR, 7.8 [95% CI, 2.0-31.2]). After the introduction of the ISVMP, outcomes did not differ by Social Vulnerability Index tertile. Infants with middle and high Social Vulnerability Index scores who were enrolled in the ISVMP gained 4 g/d and 2 g/d more, respectively, than pre-ISVMP controls. Conclusions In infants with hypoplastic left heart syndrome, high social vulnerability is a risk factor for poor interstage weight gain. However, enrollment in the ISVMP significantly reduces growth disparities.

Association between social vulnerability factors and unintentional fatal injury rates - United States, 2015-2019.

BACKGROUND: Differences in social and environmental factors can contribute to disparities in fatal injury rates. The purpose of this study was to examine the relationship between social and environmental factors and unintentional fatal injury across counties in the United States and how this relationship varies by geography. METHODS: County-level vital statistics on age-adjusted unintentional fatal injury rates for 2015-2019 were linked with county-level data from the 2018 Social Vulnerability Index (SVI), a dataset identifying socially vulnerable communities. We conducted linear regression to examine the association between SVI and unintentional fatal injury, overall and by Census region/division. We mapped county-level data for SVI and unintentional fatal injury rates in bivariate choropleth maps using quartiles. RESULTS: SVI was positively associated with unintentional fatal injury (ß = 18.29, p < 0.001) across U.S. counties. The geographic distribution of SVI and unintentional fatal injury rates varied spatially and substantially for U.S. counties, with counties in the South and West regions having the greatest levels of SVI and rates of unintentional fatal injury. CONCLUSIONS: Our findings demonstrate that the social vulnerability of counties is associated with unintentional fatal injury rates. Modification of the SVI for injury research could include additional social determinants and exclude variables not applicable to injuries. A modified SVI could inform unintentional injury prevention strategies by prioritizing efforts in areas with high levels of social vulnerability. PRACTICAL APPLICATIONS: This study is the first step in combining the SVI and injury mortality data to provide researchers with an index to investigate upstream factors related to injury.

Knowledge and Attitudes about Mother-to-Child Transmission of the Human Immunodeficiency Virus in a Context of Social Vulnerability: The Case of the Province of Essaouira, Morocco.

Background: Despite health education efforts, pregnant women still face major health problems.The aim of this study was to assess the knowledge and attitudes of pregnant women on measures to prevent mother-to-child transmission of the human immunodeficiency virus in a context of social vulnerability. Methods: This is a cross-sectional survey of 384 pregnant women randomly selected from the 20 health districts in the province of Essaouira. This study was carried out from January 2022 to June 2022. A questionnaire was used, and bivariable logistic regression analyses were done to identify factors associated with knowledge and attitudes of pregnant women about mother-to-child transmission of the human immunodeficiency virus. Results: Low knowledge (75.8%) and negative attitudes (72.7%) about preventing mother-to-child transmission of HIV were observed in study participants. The knowledge and attitudes of pregnant women about the prevention of mother-to-child transmission of HIV varied by education level, number of children, and source of information. There was a very significant correlation between knowledge and attitude (p=0.000). Conclusion: A significant number of pregnant women have incomplete knowledge and attitudes about preventing mother-to-child transmission of HIV. Actions to increase the knowledge of pregnant women are essential. The capacity of healthcare providers should also be strengthened to improve the quality of care.

Development of an individual index of social vulnerability that predicts negative healthcare events: a proposed tool to address healthcare equity in primary care research and practice.

PURPOSE: Socially disadvantaged patients may lack self-efficacy to navigate a complex health system making them vulnerable to healthcare inequity. We aimed to develop an Index of social vulnerability that predicts increased risk of negative healthcare events (e.g. emergency hospitalization), independent of chronic disease burden. The analysis illustrates the conceptual and practical steps leading to the development of a pragmatic Index of social vulnerability to limited healthcare self-efficacy. METHODS: Using data from a 3-year cohort of 2507 adult primary care patients in Québec (Canada), we applied two complementary structural equation modelling approaches-Partial Least Squares Path Modelling (PLS-PM) and Multiple indicators and Multiple Causes (MIMIC) modelling-to identify a minimal set of social characteristics that could be summed into an Index related to limited healthcare self-efficacy. We then used logistic regression to determine if the Index predicted: hospital emergency department use; hospital admissions; unmet need for care, and others. We privileged parsimony over explanatory capacity in our analytic decisions to make the Index pragmatic for epidemiologic and clinical use. RESULTS: The Individual Social Vulnerability Index is the weighted sum of five indicators: two indicators of social support; educational achievement; financial status; limited language proficiency. The Index predicts increased likelihood of all negative healthcare outcomes except unmet need, with a clear threshold at Index ≥ 2. The effect is independent of chronic disease burden. CONCLUSION: When social deficits outweigh social assets by two or more (Index ≥ 2), there is an increased risk of negative healthcare events beyond the risk attributable to poor health. The Index is a pragmatic tool to identify a minority of patients who will require additional support to receive equitable healthcare.

Linking Local-Level Chronic Disease and Social Vulnerability Measures to Inform Planning Efforts: A COPD Example.

INTRODUCTION: Data are publicly available to identify geographic differences in health outcomes, including chronic obstructive pulmonary disease (COPD), and social vulnerability; however, examples of combining data across sources to understand disease burden in the context of community vulnerability are lacking. METHODS: We merged county and census tract model-based estimates of COPD prevalence from PLACES (www.cdc.gov/PLACES) with social vulnerability measures from the Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry Social Vulnerability Index (https://www.atsdr.cdc.gov/placeandhealth/svi), including 4 themes (socioeconomic, household composition and disability, minority status and language, and housing type and transportation), and the overall Social Vulnerability Index (SVI). We used the merged data set to create vulnerability profiles by COPD prevalence, explore joint geographic patterns, and calculate COPD population estimates by vulnerability levels. RESULTS: Counties and census tracts with high COPD prevalence (quartile 4) had high median vulnerability rankings (range: 0-1) for 2 themes: socioeconomic (county, 0.81; tract, 0.77) and household composition and disability (county, 0.75; tract, 0.81). Concordant high COPD prevalence and vulnerability for these themes were clustered along the Ohio and lower Mississippi rivers. The estimated number of adults with COPD residing in counties with high vulnerability was 2.5 million (tract: 4.7 million) for the socioeconomic theme and 2.3 million (tract: 5.0 million) for the household composition and disability theme (high overall SVI: county, 4.5 million; tract, 4.7 million). CONCLUSION: Data from 2 publicly available tools can be combined, analyzed, and visualized to jointly examine local COPD estimates and social vulnerability. These analyses can be replicated with other measures to expand the use of these cross-cutting tools for public health planning.

Geospatial Assessment of Racial/Ethnic Composition, Social Vulnerability, and Lead Water Service Lines in New York City.

BACKGROUND: The state of New York expects to receive $115 million in 2022 alone from the U.S. Infrastructure Investment and Jobs Act to support the replacement of lead water service lines. OBJECTIVES: Our objective was to determine the number and proportion of potential lead water service lines across New York City (NYC) and to evaluate the association between census tract-level racial/ethnic composition, housing vulnerability, and child lead exposure vulnerability with service line type (Potential Lead, Unknown) for n=2,083 NYC tracts. METHODS: We conducted a descriptive analysis assessing water service line material recorded in the NYC Department of Environmental Protection's Lead Service Line Location Coordinates database. We used conditional autoregressive Bayesian Poisson models to assess the relative risk [RR; median posterior estimates, and 95% credible interval (CrI)] of service line type per 20% higher proportion of residents in a given racial/ethnic group and per higher housing vulnerability and child lead exposure vulnerability index scores corresponding to the interquartile range. We also evaluated the associations in flexible natural cubic spline models. RESULTS: Out of 854,672 residential service line records, 136,891 (16.0%) were Potential Lead, and 227,443 (26.6%) were Unknown. In fully adjusted models, higher proportions of Hispanic/Latino residents and higher child lead exposure vulnerability were associated with Potential Lead service lines in flexible spline models and linear models [RR=1.15 (95% CrI: 1.11, 1.21) and RR=1.11 (95% CrI: 1.02, 1.20), respectively]. Associations were modified by borough; Potential Lead service lines were associated with higher proportions of non-Hispanic White and non-Hispanic Asian residents in the Bronx and Manhattan, and with higher proportions of non-Hispanic Black residents in Queens. DISCUSSION: NYC has a high number of Potential Lead and Unknown water service lines. Communities with a high proportion of Hispanic/Latino residents and those with children who are already highly vulnerable to lead exposures from numerous sources are disproportionately impacted by Potential Lead service lines. These findings can inform equitable service line replacement across New York state and NYC. https://doi.org/10.1289/EHP12276.

Grupos en situación de vulnerabilidad

La desigualdad y la discriminación son elementos que permean en gran medida los desafíos de la Agenda 2030 y el desarrollo social inclusivo. La vitrina contribuye al cumplimiento de los ODS al promover el acceso a la información sobre el tema.

Association of social vulnerability on survival, treatment, and presentation in oral cavity cancer.

OBJECTIVE: This study utilized a population database to investigate how social environments are associated with outcomes including stage at diagnosis, multimodal treatment, and disease-specific survival for oral cavity squamous cell carcinomas. METHODS: Retrospective analysis of adults with oral cavity squamous cell carcinoma between 2007 and 2016 from the Surveillance, Epidemiology, End Results (SEER) registry was performed. The CDC's social vulnerability index (SVI) was used to characterize social vulnerability at the county level. Predictors of disease-specific survival, stage at diagnosis, and use of multimodal therapy were identified using Cox regression and logistic regression. RESULTS: Our analysis included 17 043 patients. On adjusted models, patients in the highest SVI quartile (most social vulnerability) exhibited worse disease-specific survival compared to the lowest quartile (HR 1.24, 95% CI 1.12-1.37, p < 0.001), and were more likely to be diagnosed at later stages (OR 1.24, 95% CI 1.11-1.38, p < 0.001) and less likely to receive multimodal therapy (OR 0.84, 95% CI 0.77-0.99, p = 0.037). CONCLUSION: High social vulnerability was associated with worse disease-specific survival and disease presentation in oral cavity cancer patients.

Artificial light at night and social vulnerability: An environmental justice analysis in the U.S. 2012-2019.

BACKGROUND: Artificial Light at Night (ALAN) is an emerging health risk factor that has been linked to a wide range of adverse health effects. Recent study suggested that disadvantaged neighborhoods may be exposed to higher levels of ALAN. Understanding how social disadvantage correlates with ALAN levels is essential for identifying the vulnerable populations and for informing lighting policy. METHODS: We used satellite data from the National Aeronautics and Space Administration's (NASA) Black Marble data product to quantify annual ALAN levels (2012-2019), and the Center for Disease Control and Prevention's (CDC) Social Vulnerability Index (SVI) to quantify social disadvantage, both at the US census tract level. We examined the relationship between the ALAN and SVI (overall and domain-specific) in over 70,000 tracts in the Contiguous U.S., and investigated the heterogeneities in this relationship by the rural-urban status and US regions (i.e., Northeast, Midwest, South, West). RESULTS: We found a significant positive relationship between SVI and ALAN levels. On average, the ALAN level in the top 20% most vulnerable communities was 2.46-fold higher than that in the 20% least vulnerable communities (beta coefficient (95% confidence interval) for log-transformed ALAN, 0.90 (0.88, 0.92)). Of the four SVI domains, minority and language status emerged as strong predictors of ALAN levels. Our stratified analysis showed considerable and complex heterogeneities across different rural-urban categories, with the association between greater vulnerability and higher ALAN primarily observed in urban cores and rural areas. We also found regional differences in the association between ALAN and both overall SVI and SVI domains. CONCLUSIONS: Our study suggested ALAN as an environmental justice issue that may carry important public health implications. Funding National Aeronautics and Space Administration.

Patients Living with Social Vulnerabilities Experience Reduced Access at Team-Based Primary Healthcare Clinics.

Objective: This study aims to explore differences in access to care as experienced by patients registered in team-based primary healthcare clinics according to their social vulnerability profile. Method: A total of 1,562 patients from four team-based primary healthcare clinics completed an e-survey conducted between June and November 2021. The social vulnerability index was used to compare the experiences. Results: Patients with low vulnerability consulted at emergency rooms three times more often because their family physician was not available (p = 0.006) than patients with no vulnerability. Lack of continuity was reported two times more often by patients with low vulnerability related to team members not knowing their recent medical history (p = 0.006) and by patients with high vulnerability related to no one being in charge of their file (p = 0.023). Both vulnerable groups reported receiving contradictory information more often than patients with no vulnerability. Conclusion: Patients with high vulnerability experienced more access difficulties related to continuity, interprofessional collaboration and communication with providers.

Social vulnerability and initial COVID-19 community spread in the US South: a machine learning approach.

BACKGROUND AND OBJECTIVES: More than 93 million COVID-19 cases and more than 1 million COVID-19 deaths have been reported in the USA by August 2022. The disproportionate effect of the pandemic and its severe impact on vulnerable communities raised concerns. This research aimed to identify and rank Social Vulnerability Index (SVI) factors highly predictive of the spread of COVID-19 in the US South at the beginning of the pandemic. METHODS: We used Extreme Gradient Boosting (XGBoost) machine learning methodology and SVI data, and the number of COVID-19 cases across all counties in the US South to predict the number of positive cases within 30 days of a county's first case. RESULTS: Our results showed that the percentage of mobile homes is the most important feature in predicting the increase in COVID-19. Also, population density per square mile, per capita income, percentage of housing in structures with 10+ units, percentage of people below poverty and percentage of people with no high school diploma are important predictors of COVID-19 community spread, respectively. CONCLUSIONS: SVI can help assess the vulnerability or resilience of communities to the spread of COVID-19 and can help identify communities at high risk of COVID-19 spread.

Social vulnerability among cancer patients and changes in vulnerability during their trajectories - A longitudinal population-based study.

BACKGROUND: Identification of socially vulnerable cancer patients in the health care system is difficult. Only little is known concerning changes in the patients' social circumstances during the trajectory. Such knowledge is valuable regarding the identification of socially vulnerable patients in the health care system. The objective of this study was to use administrative data to identify population-based characteristics of socially vulnerable cancer patients and investigate how social vulnerability changed during the cancer trajectory. METHODOLOGY: A registry-based social vulnerability index (rSVI) was applied to each cancer patient prior to their diagnosis, and used to assess changes in social vulnerability after the diagnosis. RESULTS: A total of 32,497 cancer patients were included. Short-term survivors (n = 13,994) died from cancer from one to three years after the diagnosis, and long-term survivors (n = 18,555) survived at least three years after the diagnosis. 2452 (18 %) short-term survivors and 2563 (14 %) long-term survivors were categorized as socially vulnerable at diagnosis, of these 22 % and 33 % changed category to not socially vulnerable during the first two years after the diagnosis, respectively. For patients changing status of social vulnerability, several social and health-related indicators changed, which is in line with the complexity of the multifactorial social vulnerability. Less than 6 % of the patients categorized as not vulnerable at diagnosis, changed to become vulnerable during the following two years. CONCLUSION: During the cancer trajectory, social vulnerability may change in both directions. Surprisingly, more patients, who were categorized as socially vulnerable when their cancer was diagnosed, changed status to not socially vulnerable during follow-up. Future research should attempt to increase knowledge on identifying cancer patients, who experience deterioration after the diagnosis.

New Orleans' school meals distribution in response to the COVID-19 pandemic: operational details and geographic coverage.

Introduction: To facilitate continuation of school feeding during COVID-19 school lockdowns, U.S. Congress authorized waivers to allow for school meals to be picked up by parents/guardians in non-school settings. We summarized school meals distribution and characterized reach in socially vulnerable neighborhoods in New Orleans, a city prone to environmental disasters, with a city-wide charter school system, and historically high levels of child poverty and food insecurity. Methods: School meals operations data were obtained from New Orleans, Louisiana (NOLA) Public Schools for 3/16/2020-5/31/2020. For each pick-up location, we estimated: average meals available (weekly), average meals served (weekly), number of weeks of operation, and rate of meal pick-up ([meals served/meals available]*100). These characteristics were mapped in QGIS v3.28.3, along with neighborhoods' Social Vulnerability Index (SVI). Pearson correlation and ANOVA were run to assess differences between operations characteristics and neighborhood SVI. Results: From 38 meal sites, 884,929 meals were available for pick-up; 74% of pick-up sites were in moderately/highly socially vulnerable areas. Correlations between average meals available and served, weeks of operation, rate of meal pick-up, and SVI were weak and not statistically significant. SVI was associated with average rate of meal pick-up but not other operations characteristics. Discussion: Despite the disaggregated nature of the charter school system, NOLA Public Schools successfully pivoted to providing children with pick-up meals due to COVID-19 lockdowns, with 74% of sites located in socially vulnerable neighborhoods. Future studies should describe the types of meals provided to students during COVID-19, in terms of diet quality and nutrient adequacy.

Geographically varying associations between mentally unhealthy days and social vulnerability in the USA.

OBJECTIVES: A growing body of research has incorporated the Social Vulnerability Index (SVI) into an expanded understanding of the social determinants of health. Although each component of SVI and its association with individual-level mental health conditions have been well discussed, variation in mentally unhealthy days (MUDs) at a county level is still unexplored. To systematically examine the geographically varying relationships between SVI and MUDs across the US counties, our study adopted two different methods: 1) aspatial regression modeling (ordinary least square [OLS]); and 2) locally calibrated spatial regression (geographically weighted regression [GWR]). STUDY DESIGN: This study used a cross-sectional statistical design and geospatial data manipulation/analysis techniques. Analytical unit is each of the 3109 counties in the continental USA. METHODS: We tested the model performance of two different methods and suggest using both methods to reduce potential issues (e.g., Simpson's paradox) when researchers apply aspatial analysis to spatially coded data sets. We applied GWR after checking the spatial dependence of residuals and non-stationary issues in OLS. GWR split a single OLS equation into 3109 equations for each county. RESULTS: Among 15 SVI variables, a combination of eight variables showed the best model performance. Notably, unemployment, person with a disability, and single-parent households with children aged under 18 years especially impacted the variation of MUDs in OLS. GWR showed better model performance than OLS and specified each county's varying relationships between subcomponents of SVI and MUDs. For example, GWR specified that 69.3% (2157 of 3109) of counties showed positive relationships between single-parent households and MUDs across the USA. Higher positive relationships were concentrated in Michigan, Kansas, Texas, and Louisiana. CONCLUSIONS: Our findings could contribute to the literature regarding social determinants of community mental health by specifying spatially varying relationships between SVI and MUDs across US counties. Regarding policy implementation, in counties containing more social and physical minorities (e.g., single-parent households and disabled population), policymakers should attend to these groups of people and increase intervention programs to reduce potential or current mental health illness. The results of GWR could help policymakers determine the specific counties that need more support to reduce regional mental health disparities.