HIV community viral load trends in South Carolina.

Community viral load is an aggregate measure of HIV viral load in a particular geographic location, community, or subgroup. Community viral load provides a measure of disease burden in a community and community transmission risk. This study aims to examine community viral load trend in South Carolina and identify differences in community viral load trends between selected population subgroups using a state-wide surveillance dataset that maintains electronic records of all HIV viral load measurements reported to the state health department. Community viral load trends were examined using random mixed effects models, adjusting for age, race, gender, residence, CD4 counts, HIV risk group, and initial antiretroviral regimen during the study period, and time. The community viral load gradually decreased from 2004 to 2013 ( p < 0.0001). The number of new infections also decreased ( p = 0.0001) over time. A faster rate of decrease was seen among men compared to women ( p < 0.0001), men who have sex with men ( p = 0.0001) compared to heterosexuals, patients diagnosed in urban areas compared to that in rural areas ( p = 0.0004), and patients prescribed single-tablet regimen compared to multiple-tablet regimen ( p < 0.0001). While the state-wide community viral load decreased over time, the decline was not uniform among residence at diagnosis, HIV risk group, and single-tablet regimen versus multiple-tablet regimen subgroups. Slower declines in community viral load among females, those in rural areas, and heterosexuals suggest possible disparities in care that require further exploration. The association between using single-tablet regimen and faster community viral load decline is noteworthy.

Assessment of sociodemographic and geographic disparities in cancer risk from air toxics in South Carolina.

Populations of color and low-income communities are often disproportionately burdened by exposures to various environmental contaminants, including air pollution. Some air pollutants have carcinogenic properties that are particularly problematic in South Carolina (SC), a state that consistently has high rates of cancer mortality for all sites. The purpose of this study was to assess cancer risk disparities in SC by linking risk estimates from the U.S. Environmental Protection Agency's 2005 National Air Toxics Assessment (NATA) with sociodemographic data from the 2000 US Census Bureau. Specifically, NATA risk data for varying risk categories were linked by tract ID and analyzed with sociodemographic variables from the 2000 census using R. The average change in cancer risk from all sources by sociodemographic variable was quantified using multiple linear regression models. Spatial methods were further employed using ArcGIS 10 to assess the distribution of all source risk and percent non-white at each census tract level. The relative risk (RR) estimates of the proportion of high cancer risk tracts (defined as the top 10% of cancer risk in SC) and their respective 95% confidence intervals (CIs) were calculated between the first and latter three quartiles defined by sociodemographic factors, while the variance in the percentage of high cancer risk between quartile groups was tested using Pearson's chi-square. The average total cancer risk for SC was 26.8 people/million (ppl/million). The risk from on-road sources was approximately 5.8 ppl/million, higher than the risk from major, area, and non-road sources (1.8, 2.6, and 1.3 ppl/million), respectively. Based on our findings, addressing on-road sources may decrease the disproportionate cancer risk burden among low-income populations and communities of color in SC.

Rural-urban differences in HIV viral loads and progression to AIDS among new HIV cases.

OBJECTIVE: The human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) epidemic in the United States has shifted to the South, where an increasing proportion is occurring in rural areas. We sought to gain a better understanding of the affected rural population in this region. METHODS: The statewide HIV/AIDS Electronic Reporting System database was used to examine the epidemiological characteristics of newly diagnosed HIV cases in South Carolina from 2005 to 2011. Rural-urban differences were examined in sociodemographic and clinical characteristics, including progression to AIDS and a decline in HIV viral load (VL) to undetectable levels within 1 year of diagnosis. RESULTS: Of the 5336 individuals newly diagnosed as having HIV, 1433 (26.9%) were from rural areas. Compared with urban residents, a higher proportion of rural residents were black, non-Hispanic (80.1% vs 68.5%; P ≤ 0.0001) and reported heterosexual risk (28.8% vs 22.9%; P = 0.0007). The proportion of female patients was higher in rural areas (29.7% vs 26.4%; P = 0.016). No significant rural-urban differences were found in initial CD4(+) T-cell and VL counts or proportion obtaining an undetectable VL at 1 year. Rural residents were significantly more likely than urban residents to have AIDS at diagnosis or within 1 year of the HIV diagnosis (adjusted odds ratio 1.15; 95% confidence interval 1.007-1.326). CONCLUSIONS: The reasons behind differences in proportions of rural and urban residents who were diagnosed as having AIDS or progressed to AIDS despite similar initial CD4(+) T-cell counts and VL suppression at 1 year are unclear and should be explored in future studies. Future prevention and treatment efforts may need to consider the unique characteristics of rural populations in the South.

Disparities in viral load and CD4 count trends among HIV-infected adults in South Carolina.

On a population level, trends in viral load (VL) and CD4 cell counts can provide a marker of infectivity and an indirect measure of retention in care. Thus, observing the trend of CD4/VL over time can provide useful information on disparities in populations across the HIV care continuum when stratified by demography. South Carolina (SC) maintains electronic records of all CD4 cell counts and HIV VL measurements reported to the state health department. We examined temporal trends in individual HIV VLs reported in SC between January 1, 2005 and December 31, 2012 by using mixed effects models adjusting for gender, race/ethnicity, age, baseline CD4 count, HIV risk category, and residence. Overall VL levels gradually decreased over the observation period. There were significant differences in the VL decline by gender, age groups, rural/urban residence, and HIV risk exposure group. There were significant differences in CD4 increases by race/ethnicity, age groups, and HIV risk exposure group. However, the population VL declines were slower among individuals aged 13-19 years compared to older age groups (p<0.0001), among men compared to women (p=0.002), and among people living with HIV/AIDS (PLWHA) with CD4 count ≤200 cell/mm(3) compared to those with higher CD4 counts (p<0.0001). Significant disparities were observed in VL decline by gender, age, and CD4 counts among PLWHA in SC. Population based data such as these can help streamline and better target local resources to facilitate retention in care and adherence to medications among PLWHA.

Use of segregation indices, Townsend Index, and air toxics data to assess lifetime cancer risk disparities in metropolitan Charleston, South Carolina, USA.

BACKGROUND: Studies have demonstrated a relationship between segregation and level of education, occupational opportunities, and risk behaviors, yet a paucity of research has elucidated the association between racial residential segregation, socioeconomic deprivation, and lifetime cancer risk. OBJECTIVES: We examined estimated lifetime cancer risk from air toxics by racial composition, segregation, and deprivation in census tracts in Metropolitan Charleston. METHODS: Segregation indices were used to measure the distribution of groups of people from different races within neighborhoods. The Townsend Index was used to measure economic deprivation in the study area. Poisson multivariate regressions were applied to assess the association of lifetime cancer risk with segregation indices and Townsend Index along with several sociodemographic measures. RESULTS: Lifetime cancer risk from all pollution sources was 28 persons/million for half of the census tracts in Metropolitan Charleston. Isolation Index and Townsend Index both showed significant correlation with lifetime cancer risk from different sources. This significance still holds after adjusting for other sociodemographic measures in a Poisson regression, and these two indices have stronger effect on lifetime cancer risk compared to the effects of sociodemographic measures. CONCLUSIONS: We found that material deprivation, measured by the Townsend Index and segregation measured by the Isolation index, introduced high impact on lifetime cancer risk by air toxics at the census tract level.

Defining the rural HIV epidemic: correlations of 3 definitions--South Carolina, 2005-2011.

PURPOSE: To gain a better understanding of the HIV epidemic in rural South Carolina (SC) by contrasting 3 definitions of rural and urban areas. METHODS: The sample included newly diagnosed HIV cases aged ≥18 years in SC between January 1, 2005, and December 31, 2011. Each individual was assigned a rural or urban status as defined by the Office of Management and Budget (OMB), Census Bureau (CB), and Rural Urban Commuting Area (RUCA) classifications. Descriptive statistics were conducted to compare sociodemographic characteristics, CD4 counts, viral loads, and time to AIDS diagnosis between rural and urban populations. Kappa statistics measured the agreement between the 3 definitions of rurality. FINDINGS: Depending on the definition used, the proportion of newly diagnosed HIV cases in rural areas varied from 23.3% to 32.0%. Based on the OMB and RUCA definitions, rural residents with HIV were more likely to be older, women, black, and non-Hispanic, report heterosexual contact, and have an AIDS diagnosis within 1 year of their HIV diagnosis. The OMB and RUCA definitions had a nearly perfect agreement (kappa = 0.8614; 95% CI = 0.8457, 0.8772), while poor agreements were noted between the OMB and CB or the RUCA and CB definitions. CONCLUSION: When examining the rural HIV epidemic, how "rural" is defined matters. Using 3 definitions of rurality, statistically significant differences were found in demographic characteristics, timing of HIV diagnosis and the proportion of rural residents diagnosed with HIV in SC. The findings suggest possible misclassification biases that may adversely influence services and resource distribution.

Spatial disparity in the distribution of superfund sites in South Carolina: an ecological study.

BACKGROUND: According to the US Environmental Protection Agency (EPA), Superfund is a federal government program implemented to clean up uncontrolled hazardous waste sites. Twenty-six sites in South Carolina (SC) have been included on the National Priorities List (NPL), which has serious human health and environmental implications. The purpose of this study was to assess spatial disparities in the distribution of Superfund sites in SC. METHODS: The 2000 US census tract and block level data were used to generate population characteristics, which included race/ethnicity, socioeconomic status (SES), education, home ownership, and home built before 1950. Geographic Information Systems (GIS) were used to map Superfund facilities and develop choropleth maps based on the aforementioned sociodemographic variables. Spatial methods, including mean and median distance analysis, buffer analysis, and spatial approximation were employed to characterize burden disparities. Regression analysis was performed to assess the relationship between the number of Superfund facilities and population characteristics. RESULTS: Spatial coincidence results showed that of the 29.5% of Blacks living in SC, 55.9% live in Superfund host census tracts. Among all populations in SC living below poverty (14.2%), 57.2% were located in Superfund host census tracts. Buffer analyses results (0.5mi, 1.0mi, 5.0mi, 0.5km, 1.0km, and 5.0km) showed a higher percentage of Whites compared to Blacks hosting a Superfund facility. Conversely, a slightly higher percentage of Blacks hosted (30.2%) a Superfund facility than those not hosting (28.8%) while their White counterparts had more equivalent values (66.7% and 67.8%, respectively). Regression analyses in the reduced model (Adj. R2 = 0.038) only explained a small percentage of the variance. In addition, the mean distance for percent of Blacks in the 90th percentile for Superfund facilities was 0.48mi. CONCLUSION: Burden disparities exist in the distribution of Superfund facilities in SC at the block and census tract levels across varying levels of demographic composition for race/ethnicity and SES.

Leaking Underground Storage Tanks and Environmental Injustice: Is There a Hidden and Unequal Threat to Public Health in South Carolina?

There are approximately 590,000 underground storage tanks (USTs) nationwide that store petroleum or hazardous substances. Many of these tanks are leaking, which may increase the risk of exposure to contaminants that promote health problems in host neighborhoods. Within this study, we assessed disparities in the spatial distribution of leaking underground storage tanks (LUSTs) based on socioeconomic status (SES) and race/ethnicity in South Carolina (SC). Chi-square tests were used to evaluate the difference in the proportion of populations who host a LUST compared to those not hosting a LUST for all sociodemographic factors. Linear regression models were applied to examine the association of distance to the nearest LUST with relevant sociodemographic measures. As percent black increased, the distance (both in kilometers and miles) to the nearest LUST decreased. Similar results were observed for percent poverty, unemployment, persons with less than a high school education, blacks in poverty, and whites in poverty. Furthermore, chi-square tests indicated that blacks or non-whites or people with low SES were more likely to live in LUST host areas than in non-host areas. As buffer distance increased, percent black and non-white decreased. SES variables demonstrated a similar inverse relationship. Overall, burden disparities exist in the distribution of LUSTs based on race/ethnicity and SES in SC.