Understanding individual health-related social needs in the context of area-level social determinants of health: The case for granularity.

Introduction: Screening for health-related social needs (HRSNs) within health systems is a widely accepted recommendation, however challenging to implement. Aggregate area-level metrics of social determinants of health (SDoH) are easily accessible and have been used as proxies in the interim. However, gaps remain in our understanding of the relationships between these measurement methodologies. This study assesses the relationships between three area-level SDoH measures, Area Deprivation Index (ADI), Social Deprivation Index (SDI) and Social Vulnerability Index (SVI), and individual HRSNs among patients within one large urban health system. Methods: Patients screened for HRSNs between 2018 and 2019 (N = 45,312) were included in the analysis. Multivariable logistic regression models assessed the association between area-level SDoH scores and individual HRSNs. Bivariate choropleth maps displayed the intersection of area-level SDoH and individual HRSNs, and the sensitivity, specificity, and positive and negative predictive values of the three area-level metrics were assessed in relation to individual HRSNs. Results: The SDI and SVI were significantly associated with HRSNs in areas with high SDoH scores, with strong specificity and positive predictive values (∼83% and ∼78%) but poor sensitivity and negative predictive values (∼54% and 62%). The strength of these associations and predictive values was poor in areas with low SDoH scores. Conclusions: While limitations exist in utilizing area-level SDoH metrics as proxies for individual social risk, understanding where and how these data can be useful in combination is critical both for meeting the immediate needs of individuals and for strengthening the advocacy platform needed for resource allocation across communities.

Advancing social care integration in health systems with community health workers: an implementation evaluation based in Bronx, New York.

BACKGROUND: In recent years, health systems have expanded the focus on health equity to include health-related social needs (HRSNs) screening. Community health workers (CHWs) are positioned to address HRSNs by serving as linkages between health systems, social services, and the community. This study describes a health system's 12-month experience integrating CHWs to navigate HRSNs among primary care patients in Bronx County, NY. METHODS: We organized process and outcome measures using the RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) implementation framework domains to evaluate a CHW intervention of the Community Health Worker Institute (CHWI). We used descriptive and inferential statistics to assess RE-AIM outcomes and socio-demographic characteristics of patients who self-reported at least 1 HRSN and were referred to and contacted by CHWs between October 2022 and September 2023. RESULTS: There were 4,420 patients who self-reported HRSNs in the standardized screening tool between October 2022 and September 2023. Of these patients, 1,245 were referred to a CHW who completed the first outreach attempt during the study period. An additional 1,559 patients self-reported HRSNs directly to a clinician or CHW without being screened and were referred to and contacted by a CHW. Of the 2,804 total patients referred, 1,939 (69.2%) were successfully contacted and consented to work with a CHW for HRSN navigation. Overall, 78.1% (n = 1,515) of patients reported receiving social services. Adoption of the CHW clinician champion varied by clinical team (median 22.2%; IQR 13.3-39.0%); however, there was no difference in referral rates between those with and without a clinician champion (p = 0.50). Implementation of CHW referrals via an electronic referral order appeared successful (73.2%) and timely (median 11 days; IQR 2-26 days) compared to standard CHWI practices. Median annual cost per household per CHW for the intervention was determined to be $184.02 (IQR $134.72 - $202.12). CONCLUSIONS: We observed a significant proportion of patients reporting successful receipt of social services following engagement with an integrated CHW model. There are additional implementation factors that require further inquiry and research to understand barriers and enabling factors to integrate CHWs within clinical teams.

Children With Chronic Health Conditions and Social Needs: Investigating Outcomes to Drive Health System Improvements.

Children with chronic health conditions (CHCs) are a high-resource population, and further data are needed to identify associations between CHC diagnoses and social needs to optimize health outcomes. In this cross-sectional study of 19 779 pediatric patients screened for social needs in an urban health system, we used logistic regression to evaluate CHC diagnoses and social need. Our independent variables were CHC diagnoses. Our dependent variable was the presence of social need. In the study, 2247 of 11 071 (20%) children with CHCs identified need. Children with CHCs were more likely to have a social need than children without CHCs (adjusted odds ratio: 1.56; 95% confidence interval: 1.44-1.68). Children with autism/developmental delay were most likely to have a social need. Children with autism/developmental delay, anxiety/depression, and asthma were most likely to report specific social needs. Health systems should screen for these families' needs to improve health outcomes.

Change in Neighborhood Socioeconomic Status and Adherence to the Cancer Prevention Lifestyle Guidelines in Hispanic/Latino Adults: Results from the HCHS/SOL Study.

Neighborhood conditions are dynamic; the association of changing neighborhood socioeconomic factors with cancer preventive behaviors remains unclear. We examined associations of neighborhood socioeconomic deprivation, gentrification, and change in income inequality with adherence to the American Cancer Society Guidelines on Nutrition and Physical Activity for Cancer Prevention in The Hispanic Community Health Study/Study of Latinos (HCHS/SOL). The HCHS/SOL enrolled 16,415 adults, ages 18­74 years, at baseline (2008­2011), from communities in the Bronx, NY, Chicago, IL, Miami, FL, and San Diego, CA. Geocoded baseline addresses were linked to the 2000 decennial Census and 5-year American Community Survey (2005­2009 and 2012­2016) tracts to operationalize neighborhood deprivation index (NDI), gentrification, and income inequality. Complex survey multinominal logistic regression models estimated the relative risk ratio (RRR) with overall guideline adherence level (low, moderate, high) and by components­diet, physical activity, body mass index (BMI), and alcohol intake. Overall, 14%, 60%, and 26% of the population had low, moderate, and high ACS guideline adherence, respectively. NDI was negatively associated with risk of high (vs. low) guideline adherence [RRR = 0.87, 95% confidence interval (CI) = 0.78­0.98], although attenuated after controlling for individual socioeconomic status (SES; RRR = 0.89, 95% CI = 0.80­1.00), and associated with lower adherence to BMI recommendations (low vs. moderate RRR = 0.90, 95% CI = 0.84­0.97; high RRR = 0.86, 95% CI = 0.77­0.97). Gentrification was associated with higher likelihood of meeting the dietary recommendations (low vs. moderate RRR = 1.04, 95% CI = 1.01­1.07), but not with overall adherence or individual components. Change in income inequality was not associated with outcomes. Neighborhood deprivation may be negatively associated with ACS guideline adherence among Hispanic/Latino adults. SIGNIFICANCE: This study provides new evidence on the link between neighborhood gentrification, changing income inequality and adoption and maintenance of cancer preventive behaviors in an understudied population in cancer research. We observed that while neighborhood deprivation may deter from healthy lifestyle behaviors, positive changes in neighborhood SES via the process of gentrification, may not influence lifestyle guideline adherence among Hispanic/Latino adults.

Factors Influencing the Referral of Patients with Prediabetes to a Diabetes Prevention Program in the Bronx, New York.

INTRODUCTION: Disparate engagement in the Diabetes Prevention Program (DPP) may occur as early as the point of referral for certain subgroups, including Black and Hispanic men. We aimed to determine patient demographic and provider characteristics associated with referrals to a health system DPP in the Bronx, New York. METHODS: Patient and health system characteristics for DPP-eligible patients seen in primary care between July 1, 2015, and December 31, 2017, were obtained through the electronic health record. Generalized mixed-effects modeling was used to test the association between referral rate and clinical and sociodemographic variables. RESULTS: Of 26,727 eligible patients, 66% were female, 46% were Hispanic, and 39% were non-Hispanic Black. Only 10% (n = 2,785) of eligible patients were referred to DPP. In the adjusted analyses, lower odds of referral were observed for men versus women (OR = 0.60; 95% CI, 0.52-0.66), for non-Hispanic White versus Hispanic patients (OR = 0.53; 95% CI, 0.40-0.71), and for uninsured patients versus Medicaid patients (OR = 0.66; 95% CI, 0.54-0.80). The odds were higher for patients in the highest versus lowest hemoglobin A1c (OR = 2.49; 95% CI, 2.27-2.72) category; for those in the highest versus lowest body mass index categories (OR = 1.61; 95% CI, 1.45-1.79); for middle-aged patients (aged 45-64 y) versus those aged 18-26 y (OR =1.63; 95% CI, 1.33-2.00); and for patients being seen by a family versus an internal medicine physician (OR = 1.65; 95% CI, 1.22-2.22). CONCLUSION: We identified under-referral for men and highlighted other patient and health system factors associated with referral rates. Interventions to address bias in referrals and increase referrals for men at high risk for diabetes, not typically represented in DPP, are recommended.

Household Food Security and Consumption of Sugar-Sweetened Beverages among New York City (NYC) Children: A Cross-Sectional Analysis of 2017 NYC Kids' Data.

Food insecurity is a stressor associated with adverse health outcomes, including the consumption of sugar-sweetened beverages (SSBs). Our study tests the hypothesis that other socioeconomic vulnerabilities may magnify this effect using cross-sectional data from the 2017 New York City (NYC) Kids Survey. Households providing an affirmative response to one or both food security screener questions developed by the US Department of Agriculture were coded as households with low food security. The number of sodas plus other SSBs consumed was standardized per day and categorized as 1 = none, 2 = less than one, and 3 = one or more. We tested the joint effect of low food security with chronic hardship, receipt of federal aid, and immigrant head of household on a sample of n = 2362 kids attending kindergarten and beyond using ordinal logistic regression and accounting for the complex survey design. Only having a US-born parent substantially magnified the effect of low household food security on SSB consumption (OR = 4.2, 95%CI: 2.9-6.3, p < 0.001) compared to the reference group of high household food security with an immigrant parent. The effect of low food security on SSB consumption among NYC children warrants intersectional approaches, especially to elucidate US-based SSB norms in low-food-security settings.

Association of census-tract level gentrification and income inequality with 6-year incidence of metabolic syndrome in the Hispanic Community Health Study/Study of Latinos, an epidemiologic cohort study.

BACKGROUND: Metabolic syndrome varies by socio-demographic characteristics, with younger (18-29 years) and older (50-69 years) Hispanic/Latino having higher prevalence compared to other groups. While there is substantial research on neighborhood influences on cardiometabolic health, there are mixed findings regarding the effects of gentrification and few studies have included Hispanic/Latinos. The role of neighborhood income inequality on metabolic health remains poorly understood. OBJECTIVES: Examined associations of neighborhood gentrification and income inequality with metabolic syndrome (MetSyn) using data from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). DESIGN, SETTING AND PARTICIPANTS: The HCHS/SOL is a community-based cohort of adults of Hispanic/Latinos (aged 18-74). Analyses included 6710 adults who did not meet criteria for MetsS at baseline (2008-2011) and completed the visit 2 examination (2014-2017). Poisson regressions estimated odds ratios (IRR) and 95% confidence intervals (CI) for neighborhood gentrification and change in income inequality with MetSyn incidence. MAIN OUTCOME AND EXPOSURE MEASURES: Gentrification was measured with an index that included changes (2000 to 2006-2010) in education, poverty, and income. Change in neighborhood income inequality (2005-2009 to 2012-2016) was measured using the Gini coefficient of income distribution. MetSyn was defined using National Cholesterol Education Program Adult Treatment Panel III criteria. RESULTS: Among 6647 Hispanic/Latino adults, 23% (N = 1530) had incident MetSyn. In models adjusted for socio-demographic, health insurance status, and neighborhood characteristics, gentrification (IRR, 1.00, 95%CI, 0.96-1.03) and income inequality change (IRR, 1.00, 95%CI, 0.99-1.00) were not associated with MetSyn at visit 2. There was no association between cross-sectional income inequality (2005-2009) and MetSyn at visit 2 (IRR, 0.97, 95%CI, 0.82-1.15). CONCLUSION: Neighborhood gentrification and income inequality change were not associated with incidence of MetSyn over 6 years among Hispanic/Latino adults. This study demonstrated that income-based residential changes alone may not be sufficient to explain neighborhood influences on health outcomes among this population.

The Creation of a Multidomain Neighborhood Environmental Vulnerability Index Across New York City.

Compared to previous studies commonly using a single summary score, we aimed to construct a multidomain neighborhood environmental vulnerability index (NEVI) to characterize the magnitude and variability of area-level factors with the potential to modify the association between environmental pollutants and health effects. Using the Toxicological Prioritization Index framework and data from the 2015-2019 U.S. Census American Community Survey and the 2020 CDC PLACES Project, we quantified census tract-level vulnerability overall and in 4 primary domains (demographic, economic, residential, and health status), 24 subdomains, and 54 distinct area-level features for New York City (NYC). Overall and domain-specific indices were calculated by summing standardized feature values within the subdomains and then aggregating and weighting based on the number of features within each subdomain within equally-weighted primary domains. In citywide comparisons, NEVI was correlated with multiple existing indices, including the Neighborhood Deprivation Index (r = 0.91) and Social Vulnerability Index (r = 0.87) but provided additional information on features contributing to vulnerability. Vulnerability varied spatially across NYC, and hierarchical cluster analysis using subdomain scores revealed six patterns of vulnerability across domains: 1) low in all, 2) primarily low except residential, 3) medium in all, 4) high demographic, economic, and residential 5) high economic, residential, and health status, and 6) high demographic, economic and health status. Created using methods that offer flexibility for theory-based construction, NEVI provided detailed vulnerability metrics across domains that can inform targeted research and public health interventions aimed at reducing the health impacts from environmental exposures across urban centers.

Social Needs Assessment and Linkage to Community Health Workers in a Large Urban Hospital System.

OBJECTIVES: Identifying social needs is a growing priority in primary care, but there is significant variation in how patients access services to meet such needs. This study identifies predictors of successful linkage with a community health worker (CHW) among patients with social needs seen in an outpatient setting. METHODS: This study uses a cross-sectional analysis of social needs assessments administered in an urban health system between April 2018 and December 2019. Social needs included: food insecurity, housing quality, housing instability, healthcare cost, healthcare related transportation, utilities, care for dependents, legal assistance, safety, and getting along with household members. Patients with at least 1 social need and accepting help were included in the analysis. On contact with a CHW, patients were entered into a separate database. The primary outcome was successful "linkage," defined by having a positive social needs assessment in the medical record and a corresponding record in the CHW database. Multivariate logistic regression was used to assess predictors of linkage. RESULTS: Among patients with at least 1 social need accepting help, 25% (758/3064) were linked to a CHW. Positive predictors included female gender (OR 1.28 [95% CI 1.01-1.63]), Spanish language preference compared to English (1.51 [1.14-1.03]), and having a food related need (1.35 [1.03-1.79]). Negative predictors included age 18 to 65 (0.34 [0.17-0.71] for age 18-24) and 0 to 5 (0.45 [0.24-0.78]) compared to over 65, non-Hispanic White race compared to Hispanic race (0.39 [0.18-0.84]), and having needs of getting along with household members (0.52 [0.38-0.71]) and safety (0.64 [0.42-0.98]). CONCLUSIONS: Twenty-five percent of patients who had at least 1 social need and were accepting help had a successful CHW linkage. Predictors of linkage suggest areas of further system-level improvements to screening and referral interventions to target at risk patients and communities.

Unmet Social Needs and Pediatric Asthma Severity in an Urban Primary Care Setting.

OBJECTIVE: Community-level social determinants of health impact asthma outcomes among children; however, individual patient's priorities are not often included in designing social care interventions. Identifying connections between patient-prioritized unmet social needs and asthma severity status may allow for improved patient-centered approaches to asthma management. In this analysis, we examined the association between unmet social needs and asthma severity in an urban population of children. We hypothesized that those with a greater number of unmet social needs would report a more severe asthma status. METHODS: We conducted a secondary analysis of 4887 patients screened for unmet social needs and asthma severity status. Bivariate associations and adjusted logistic regression modeling were used to assess the association between unmet social needs and asthma severity. RESULTS: Persistent asthma severity status was associated with several unmet social needs, including housing quality and stability, lack of money for food, transportation, and healthcare costs. In the multivariable analysis, having 3 or more unmet social needs was associated with a 59% greater odds of persistent asthma status (CI, 1.18-2.14; P = .002), and having 2 unmet social needs was associated with a 33% greater odds of persistent asthma status (CI, 1.00-1.78; P = .05). CONCLUSIONS: Unmet social needs were associated with asthma severity status, with a greater number of unmet social needs associated with greater odds of severe asthma status. Additional studies are warranted to further evaluate the temporal relationship between unmet social needs and how they may compound one another in their relationship with asthma severity.

Neighborhood environmental vulnerability and pediatric asthma morbidity in US metropolitan areas.

BACKGROUND: Research suggests demographic, economic, residential, and health-related factors influence vulnerability to environmental exposures. Greater environmental vulnerability may exacerbate environmentally related health outcomes. We developed a neighborhood environmental vulnerability index (NEVI) to operationalize environmental vulnerability on a neighborhood level. OBJECTIVE: We explored the relationship between NEVI and pediatric asthma emergency department (ED) visits (2014-19) in 3 US metropolitan areas: Los Angeles County, Calif; Fulton County, Ga; and New York City, NY. METHODS: We performed separate linear regression analyses examining the association between overall NEVI score and domain-specific NEVI scores (demographic, economic, residential, health status) with pediatric asthma ED visits (per 10,000) across each area. RESULTS: Linear regression analyses suggest that higher overall and domain-specific NEVI scores were associated with higher annual pediatric asthma ED visits. Adjusted R2 values suggest that overall NEVI scores explained at least 40% of the variance in pediatric asthma ED visits. Overall NEVI scores explained more of the variance in pediatric asthma ED visits in Fulton County. NEVI scores for the demographic, economic, and health status domains explained more of the variance in pediatric asthma ED visits in each area compared to the NEVI score for the residential domain. CONCLUSION: Greater neighborhood environmental vulnerability was associated with greater pediatric asthma ED visits in each area. The relationship differed in effect size and variance explained across the areas. Future studies can use NEVI to identify populations in need of greater resources to mitigate the severity of environmentally related outcomes, such as pediatric asthma.

Doubled-Up Households, Self-Management Behaviors, Diabetes Preventive Care Services, and Hospital Use in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) 2015-2020.

OBJECTIVE: We investigated associations of living in a doubled-up household (i.e., adults living with adult children, other related adults, or other unrelated adults) with diabetes self-management behaviors, occurrence of diabetes preventive care services, and hospital use by Hispanic/Latino adults with diabetes. RESEARCH DESIGN AND METHODS: We analyzed data from the second clinical visit (2014-2017) through subsequent annual follow-up interviews completed through January 2020 of all participants with diabetes in the Hispanic Community Health Study/Study of Latinos. Multivariable regression was used to test associations between doubled-up status with diabetes self-management behaviors (i.e., checking blood glucose level, checking feet for sores), diabetes preventive care services done by a doctor (i.e., dilated-eye examination, feet checked, hemoglobin A1c measured, urine analysis for kidney function), and hospital use (i.e., emergency department [ED] visits and hospitalizations). RESULTS: Hispanic/Latino adults living doubled up were less likely to have their urine checked by a doctor for kidney disease compared with adults not in doubled-up households. Doubled-up status was not associated with diabetes self-management behaviors. Adults living doubled up in a household with other related adults had a 33% increased risk of ED visits compared with adults living doubled up in a household with adult children. CONCLUSIONS: Health care settings where Hispanic/Latino adults with diabetes receive trusted care should add housing characteristics such as doubled-up status to social-needs screening to identify residents in need of connecting with housing or social services and more targeted diabetes management services.

Association of neighborhood segregation with 6-year incidence of metabolic syndrome in the Hispanic community health study/study of Latinos.

PURPOSE: Examine the association between neighborhood segregation and 6-year incident metabolic syndrome (MetSyn) in the Hispanic Community Health Study/Study of Latinos. METHODS: Prospective cohort of adults residing in Miami, Chicago, the Bronx, and San Diego. The analytic sample included 6,710 participants who did not have MetSyn at baseline. The evenness and exposure dimensions of neighborhood segregation, based on the Gini and Isolation indices, respectively, were categorized into quintiles (Q). Racialized economic concentration was measured with the Index of Concentration at the Extremes (continuously and Q). RESULTS: Exposure, but not evenness, was associated with higher disease odds (Q1 (lower segregation) vs. Q4, OR = 1.53, 95% CI = 1.082.17; Q5, OR = 2.29, 95% CI = 1.493.52). Economic concentrationprivilege (continuous OR = 0.87, 95% CI = 0.770.98), racial concentrationracialized privilege (Q1 (greater concentration) vs. Q2 OR = 0.75, 95% CI = 0.541.04; Q3 OR = 0.68, 95% CI = 0.441.05; Q4 OR = 0.68, 95% CI = 0.451.01; Q5 OR = 0.64, 95% CI = 0.420.98)(continuous OR = 0.93, 95% CI = 0.821.04), and racialized economic concentrationprivilege (i.e., higher SES non-Hispanic White, continuous OR = 0.86, 95% CI = 0.760.98) were associated with lower disease odds. CONCLUSION: Hispanics/Latino adults residing in neighborhoods with high segregation had higher risk of incident MetSyn compared to those residing in neighborhoods with low segregation. Research is needed to identify the mechanisms that link segregation to poor metabolic health.

Perceived neighborhood factors, health behaviors, and related outcomes in the Hispanic Community Health Study/Study of Latinos.

Hispanic/Latino populations may experience significant neighborhood disadvantage, but limited research has explored whether these factors affect their health behaviors. Associations between perceived neighborhood factors at Visit 1 and health behaviors and related outcomes at Visit 2 in the Hispanic Community Health Study/Study of Latinos were evaluated. Multivariable logistic regression assessed cross-sectional and longitudinal relationships between perceived neighborhood social cohesion (NSC, 5 items), and neighborhood problems (NP, 7 items), with cancer screening, current smoking, excessive/binge drinking, hypertension, obesity, physical activity, and poor diet by gender and birthplace. NSC and NP scores were converted into quartiles. Mean age of participants was 42.5 years and 62.1% were women. Perceived NP, but not perceived NSC, differed by gender (p < 0.001). In unstratified models, no significant associations were observed between perceived NSC and any health behavior, whereas greater perceived NP was associated with less adherence to colon cancer screening (moderate level: aOR = 0.68, 95% CI = 0.51, 090) and more physical activity (very high level: aOR = 1.34, 95% CI = 1.06, 1.69) compared to low perceived NP. Women with moderate perceived NP, versus low NP, had a lower odds of colon cancer screening at Visit 1 (aOR = 0.62, 95% CI = 0.43, 0.91) and higher odds of mammogram adherence at Visit 2 (aOR = 2.86, 95% CI = 1.44, 5.68). Men with high perceived NP had a higher odds of excessive or binge drinking at Visit 2 (aOR = 1.99, 95% CI = 1.19, 3.31). We conclude that perceived NP were significantly related to health behaviors among HCHS/SOL individuals. Perceptions of neighborhood environment may be considered modifiable factors of structural neighborhood environment interventions.

Micro-scale pedestrian streetscapes and physical activity in Hispanic/Latino adults: Results from HCHS/SOL.

We examined associations of micro-scale environment attributes (e.g., sidewalks, street crossings) with three physical activity (PA) measures among Hispanic/Latino adults (n = 1776) living in San Diego County, CA. Systematic observation was used to quantify micro-scale environment attributes near each participant's home. Total PA was assessed with accelerometers, and PA for transportation and recreation were assessed by validated self-report. Although several statistically significant interactions between individual and neighborhood characteristics were identified, there was little evidence micro-scale attributes were related to PA. An important limitation was restricted environmental variability for this sample which lived in a small area of a single county.

ASSOCIATION OF SOCIAL NEEDS WITH UNCONTROLLED VIREMIA IN PEOPLE WITH HIV.

Using a tool integrated into the electronic health record, we determined prevalence of 10 social needs among 377 people with HIV (PWH) and 27,833 patients without HIV receiving care in the Montefiore Health System. PWH (median age 53) were 55% women, 41% Black, 44% Hispanic. 33% of PWH reported at least one social need vs. 18% among patients without HIV, with healthcare transportation and housing needs significantly higher among PWH in adjusted analyses. PWH reporting transportation needs were 27% less likely to be virologically suppressed (< 200 copies/mL, adjusted prevalence ratio 0.73, 95% CI 0.55-0.96) compared with PWH without transportation needs.

RESUMEN: Por medio del uso de encuestas integradas en el registro electrónico de salud, determinamos la prevalencia de 10 necesidades sociales entre 377 personas con VIH (PCV) y 27 833 pacientes sin VIH que reciben atención en el Montefiore Health System. PCV (edad mediana de 53 años) fueron 55% mujeres, 41% negras, 44% hispanas. 33% de PCV reportó al menos una necesidad social vs. 18% de los pacientes sin VIH, siendo las necesidades de transporte a cuidados de salud y de vivienda significativamente mayores en PCV en análisis multivariable ajustado. PCV con necesidades de transportación fueron 27% menos probables de tener supresión viral (< 200 copias/ml, razón de prevalencias ajustada 0.73, IC 95% 0.55­0.96) comparada con PCV sin necesidades de transportación.

Neighborhood Environment and Metabolic Risk in Hispanics/Latinos From the Hispanic Community Health Study/Study of Latinos.

INTRODUCTION: This study examines the associations of neighborhood environments with BMI, HbA1c, and diabetes across 6 years in Hispanic/Latino adults. METHODS: Participants from the Hispanic Community Health Study/Study of Latinos San Diego site (n=3,851, mean age=39.4 years, 53.3% women, 94.0% Mexican heritage) underwent assessment of metabolic risk factors and diabetes status (categorized as normoglycemia, prediabetes, and diabetes) at baseline (2008-2011) and approximately 6 years later (2014-2017). In the Study of Latinos Community and Surrounding Areas Study ancillary study (2015-2020), participant baseline addresses were geocoded, and neighborhoods were defined using 800-meter circular buffers. Neighborhood variables representing socioeconomic deprivation, residential stability, social disorder, walkability, and greenness were created using Census and other public databases. Analyses were conducted in 2020-2021. RESULTS: Complex survey regression analyses revealed that greater neighborhood socioeconomic deprivation was associated with higher BMI (ß=0.14, p<0.001) and HbA1c (ß=0.08, p<0.01) levels and a higher odds of worse diabetes status (i.e., having prediabetes versus normoglycemia and having diabetes versus prediabetes; OR=1.25, 95% CI=1.06, 1.47) at baseline. Greater baseline neighborhood deprivation also was related to increasing BMI (ß=0.05, p<0.01) and worsening diabetes (OR=1.27, 95% CI=1.10, 1.46) statuses, whereas social disorder was related to increasing BMI levels (ß=0.05, p<0.05) at Visit 2. There were no associations of expected protective factors of walkability, greenness, or residential stability. CONCLUSIONS: Neighborhood deprivation and disorder were related to worse metabolic health in San Diego Hispanic/Latino adults of mostly Mexican heritage. Multilevel interventions emphasizing individual and structural determinants may be most effective in improving metabolic health among Hispanic/Latino individuals.