Additional file 1 of The impact of social determinants of health on obesity and diabetes disparities among Latino communities in Southern California
Creators: name: Cleveland, Joseph C.
name: Espinoza, Juan
name: Holzhausen, Elizabeth A.
name: Goran, Michael I.
name: Alderete, Tanya L.
Publisher: name: figshare
Year: 2023
Subjects: subject: Medicine
subject: Cell Biology
subject: Sociology
subject: FOS: Sociology

description: Additional file 1: Supplemental Table 1. HPI Domains and Indicators. This table summarizes the domains and indicators presented in the HPI. The weights of the domains are presented, and the component indicators are classified according to their related SDoH domains. Supplemental Table 2. SVI Domains and Indicators. This table summarizes the domains and indicators presented in the SVI. The weights of the domains are presented, and the component indicators are classified according to their related SDoH domains. Supplemental Table 3. CES Domains, Subdomains, and Indicators. This table summarizes the domains, subdomains, and indicators presented in the CES. The weights of the domains are presented, and the component indicators are classified according to their related SDoH domains. Supplemental Table 4. Health Outcomes. This table presents the source documentation and description of the nine adult and the single child health outcomes analyzed. Supplemental Table 5. Associations Between Population Weighted HPI and Simple Average HPI with Health Outcomes and Behaviors. R2 values for the population weighted HPI and the simple average HPI are presented. The population weighted HPI explained a similar level of variability in the health outcomes of interest compared to the simple average of the HPI. Supplemental Fig. 1. Comparison of Census Tract, City, and County Level Aggregation. In Panel A, each point on the scatterplot represents a census tract within the ten counties investigated in this analysis. The x-axis represents the percent Latino within each of the Southern California census tracts. The y-axis represents the HPI Score Percentile, with 0 representing the census tract with the least healthy community conditions and 100 representing the community with the healthiest community conditions. In Panel B, each point on the scatterplot represents a city within the ten counties investigated. The x-axis represents the percent Latino within each of the Southern California cities. The y-axis represents the HPI Score Percentile, with 0 representing the city with the least healthy community conditions and 100 representing the community with the healthiest community conditions. In Panel C, each point on the scatterplot represents a county within the ten counties investigated. The x-axis represents the percent Latino within each of the Southern California counties. The y-axis represents the HPI Score Percentile, with 0 representing the county with the least healthy community conditions and 100 representing the community with the healthiest community conditions. Supplemental Fig. 2. A Similar Negative Association is Observed in the SVI Score and Percent Latino. Each point on this scatterplot represents a city in Southern California considered in the analysis. Cities are grouped into counties, the colors of which are depicted on the righthand legend of the graph. The x-axis is percent Latino for each of the Southern California cities considered in this analysis. The y-axis represents the SVI Score percentile, with 0 representing the community with the healthiest SVI score and 100 representing the community with the least healthy SVI score. Relative to the HPI, the SVI score is interpreted in the opposite direction, with 0 representing communities with lowest vulnerability. Supplemental Fig. 3. A Similar Negative Association is Observed in the CES Score and Percent Latino. Each point on this scatterplot represents a city in Southern California considered in the analysis. Cities are grouped into counties, the colors of which are depicted on the righthand legend of the graph. The x-axis is percent Latino for each of the Southern California cities considered in this analysis. The y-axis represents the CES Score percentile, with 0 representing the community with the healthiest CES score and 100 representing the community with the least healthy CES score. Relative to the HPI, the CES score is interpreted in the opposite direction, with 0 representing communities with the lowest vulnerability and lowest exposure to pollution burden. Supplemental Fig. 4. SVI Demonstrates that Latinos Live in Less Healthy Community Conditions with Higher Prevalence of Disease. Each point on the scatterplot represents a city within the ten counties investigated in this analysis. The x-axis shows the percentile SVI score, and a higher percentile score indicates a less healthy community. The y-axis shows the percentile score of the prevalence of each health outcome relative to each other (i.e., a percentile score of 100 translates to the city with the highest prevalence of adult obesity or diabetes. Each point (i.e., city) on the scatterplot is colored based on the percent Latino in each city. A red shading indicates a higher percent Latino compared to a purple shading. Panel A shows the relationship between adults with diabetes and SVI score. Panel B shows the relationship between adults with obesity and SVI score. The directionality of the SVI score is opposite to the directionality of the HPI score, where a higher score indicates a greater level of community vulnerability. Supplemental Fig. 5. CES Demonstrates that Latinos Live in Less Healthy Community Conditions with Higher Prevalence of Disease. Each point on the scatterplot represents a city within the ten counties investigated in this analysis. The x-axis shows the percentile CES score, and a higher percentile score indicates a less healthy community. The y-axis shows the percentile score of the prevalence of each health outcome relative to each other (i.e., a percentile score of 100 translates to the city with the highest prevalence of adult obesity or diabetes). Each point (i.e., city) on the scatterplot is colored based on the percent Latino in each city. A red shading indicates a higher percent Latino compared to a purple shading. Panel A shows the relationship between adults with diabetes and CES score. Panel B shows the relationship between adults with obesity and CES score. Note that the CES score has the opposite directionality as the HPI score. A higher CES score indicates greater vulnerability and greater exposure to pollution burden. Supplemental Fig. 6. Young Latinos Live in Less Healthy Community Conditions and Face a Greater Burden of Obesity. Each point on the scatterplot represents a city within the ten counties investigated in this analysis. The x-axis shows the percentile SVI and CES score, and a higher percentile score indicates a less healthy community. The y-axis shows the percentile score of the prevalence of childhood obesity relative to each other (i.e., a percentile score of 100 translates to the city with the highest prevalence of childhood obesity). Each point (i.e., city) on the scatterplot is colored based on the percent Latino in each city. A red shading indicates a higher percent Latino compared to a purple shading. Panel A shows the relationship between children with obesity and SVI score. Panel B shows the relationship between children with obesity and CES score. Note that the SVI and CES scores have an opposite directionality compared to the HPI score. A higher SVI or CES score indicates greater vulnerability or greater exposure to pollution burden.