Using Geospatial Analysis to Identify Priority Communities for Cervical Cancer Prevention in Texas.

Introduction: Despite being almost entirely preventable, cervical cancer is the fourth most frequently diagnosed cancer among women worldwide. Cervical cancer incidence suggests missed opportunities for prevention. Geospatial analysis could strategically guide public health interventions. This study aimed to identify geographic clusters of cervical cancer incidence in Texas, a state with higher than national rates of cervical cancer incidence and mortality. Methods: In this population-based cross-sectional study, the authors analyzed incident cervical cancer data among Texas women aged 30-64 years, from 2014 to 2018. The authors conducted a purely spatial Poisson-based analysis function in SaTScan to examine geographic clusters of higher-than-expected proportions of cervical cancer incidence (i.e., hot spots) and adjusted for age. Results: A total of 5,060 women aged 30-64 years with incident cervical cancer diagnosis (mean age: 45.7 years, SD=9.6), including 1,840 (36.4%) Hispanic, 591 (11.7%) non-Hispanic Black, 2,397 (47.4%) non-Hispanic White, and 232 (4.6%) other races, were analyzed. Spatial scan analysis detected 7 significant hot spots of cervical cancer incidence. Hot spots were identified in the South Texas Plains (near Mexico border), Gulf Coast (Houston), Prairies and Lakes (North Texas), Panhandle Plains (Northwest Texas), and Piney Woods (Southeast Texas) regions of Texas. Hot spots, compared with the rest of Texas, had higher proportions of Hispanic population and individuals with socioeconomic disadvantages. Conclusions: This study found spatial variation in cervical cancer incidence in Texas. The hot spot areas can benefit from targeted, novel, scalable, and cost-effective interventions to increase human papillomavirus vaccination and screening and early detection and treatment of precancerous cervical lesions.

Residential proximity to oil and gas developments and childhood cancer survival.

BACKGROUND: Environmental toxicants may impact survival in children with cancer, but the literature investigating these associations remains limited. Because oil and gas developments emit several hazardous air pollutants, the authors evaluated the relationship between residential proximity to oil or gas development and survival across 21 different pediatric cancers. METHODS: The Texas Cancer Registry had 29,730 children (≤19 years old) diagnosed with a primary cancer between 1995 to 2017. Geocoded data were available for 285,266 active oil or gas wells and 109,965 horizontal wells. The authors calculated whether each case lived within 1000 m (yes/no) from each type of oil or gas development. Survival analyses were conducted using Cox regression, adjusting for potential confounders. RESULTS: A total of 14.2% of cases lived within 1000 m of an oil or gas well or horizontal well. Living within 1000 m of an oil or gas well was associated with risk of mortality in cases with acute myeloid leukemia (AML) (adjusted hazard ratio [aHR], 1.36; 95% confidence interval [CI], 1.01-1.84) and hepatoblastoma (aHR, 2.13; 95% CI, 1.03-4.39). An inverse association was observed with Ewing sarcoma (aHR, 0.35; 95% CI, 0.13-0.95). No associations were observed with horizontal well. There was evidence of a dose-response effect in children with AML or hepatoblastoma and residential proximity to oil or gas wells. In general, the magnitude of association increased with decreasing distance and with higher number of wells across the three distances. CONCLUSIONS: Residential proximity to oil or gas wells at diagnosis is associated with the risk of mortality in children with AML or hepatoblastoma.

Socioeconomic disparities based on shooting intent in pediatric firearm injury.

BACKGROUND: Pediatric firearm injury is often associated with socioeconomically disadvantaged neighborhoods. Most studies only include fatal injuries and do not differentiate by shooting intent. We hypothesized that differences in neighborhood socioeconomic disadvantage would be observed among shooting intents of fatal and nonfatal cases. METHODS: A linked integrated database of pediatric fatal and nonfatal firearm injuries was developed from trauma center and medical examiner records in Harris County, Texas (2018-2020). Geospatial analysis was utilized to map victim residence locations, stratified by shooting intent. Area Deprivation Index (ADI), a composite measure of neighborhood socioeconomic disadvantage at the census tract level was linked to shooting intent. Differences in high ADI (more deprived) versus low ADI among the shooting intents were assessed. Unadjusted and adjusted regression models assessed differences in ADI scores across shooting intent, adjusted models controlled for age, gender, and race/ethnicity. RESULTS: Of 324 pediatric firearm injuries, 28% were fatal; 77% were classified as interpersonal violence, 15% unintentional, and 8% self-harm. Differences were noted among shooting intent across the ADI quartiles; with increases in ADI score, the odds of interpersonal violence injuries compared to self-harm injuries significantly increased by 5%; however, when adjusting for individual-level variables of age, gender, and race and ethnicity, no significant differences in ADI were noted. CONCLUSIONS: Our results suggest that children living in disadvantaged neighborhoods are more likely to be affected by interpersonal firearm violence compared to self-harm; however, when differences in race/ethnicity are considered, the differences attributable to neighborhood-level disadvantage disappeared. Resources should be dedicated to improving structural aspects of neighborhood disadvantage, which disproportionately impact racial/ethnic minoritized populations. Furthermore, firearm self-harm injuries occurred among children living in the less disadvantaged neighborhoods. Understanding the associations among individual and neighborhood-level factors are important for developing streamlined injury prevention interventions by shooting intent. LEVEL OF EVIDENCE: Level IVStudy TypePrognostic/Epidemiological.