Association Between Lifetime Sexual Violence and Recent Traumatic Brain Injury Among Adults: 2017 Connecticut Behavioral Risk Factor Surveillance System.

Sexual violence (SV) is a critical public health problem that is associated with numerous negative health consequences, including immediate- and long-term physical and mental health conditions and health-risk behaviors. Some of these health-risk behaviors (e.g., substance use, unsafe driving practices, poor mental health, lower impulse control, and abnormal brain circuitry) might increase the risk for sustaining a traumatic brain injury (TBI). A TBI causes neurological or neuropsychological changes and may also lead to various symptoms that affect a person's cognition, mobility, behavior, and mental health. Determining if those who have experienced SV are at increased risk of sustaining a TBI in their lifetime is critical given the high prevalence and health impacts of SV, the potential vulnerability to TBI after SV, and the known detrimental effects of TBI. This exploratory study examined data from the 2017 Connecticut behavioral risk factor surveillance system and found that lifetime SV victimization (controlling for age and sex) was associated with increased odds of reporting a recent TBI in the past 12 months (adjusted odds ratio [AOR] = 2.1; 95% confidence interval [CI] [1.03, 4.21]). Further research is needed to better understand how SV history is related to the risk of sustaining a TBI. Healthcare professionals can support patients who experience SV by providing resources to help reduce associated physical and mental health conditions and health-risk behaviors.

Model-based community health surveillance via multilevel small area estimation using state behavioral risk factor surveillance system (BRFSS): a case study in Connecticut.

PURPOSE: The main objective of state behavioral risk factor surveillance system (BRFSS) is to produce reliable state-level estimates of various population health outcomes. A multilevel Regression and Post-stratification (MRP) methodology for small area estimation has been applied to the 500 Cities Project to provide population estimates at both city-level and census tract-level using national BRFSS data. To date, MRP has not been applied to any state BRFSS to produce health data at local geographic areas. In addition, the use of single year BRFSS might produce temporary inconsistency in small area estimates (SAEs). The predicted standard errors (SEs) and confidence intervals (CIs) of SAEs using Monte Carlo simulation could be substantially underestimated or overestimated. METHODS: By extending the current MRP approach and applying a parametric bootstrapping approach to Connecticut BRFSS (CT BRFSS), we were able to produce SAEs as well as SEs and CIs of SAEs for Connecticut counties and towns. We also applied this model to 5-year CT BRFSS (2011-2015) with an aim to improve the temporary consistency of SAEs. RESULTS: Both single-year and 5-year estimates with SEs and CIs were generated for six selected population health indicators at town, county and state levels. Model-based SAEs were internally evaluated by comparing to single-year and 5-year direct BRFSS survey (2011-2015). SAEs were also externally validated when external data were available. CONCLUSIONS: Model-based SAEs are valid and could be used to characterize local geographic variations using single state BRFSS data.

Metal content in edible crops and agricultural soils due to intensive use of fertilizers and pesticides in Terras da Costa de Caparica (Portugal).

Soils and different vegetable species in Costa de Caparica (Portugal) are subject to the intensive use of inorganic fertilizers and pesticides. Thus, the concentrations of As, Cu, Fe, Mn, Pb, and Zn were evaluated. Lettuce, spinach, and potatoes collected in station 9 cause reason for concern due to their high Pb concentrations close to 20 µg g-1 which is probably related to an intensive use of copper and iron sulphate fertilizers. Additionally, the consumption of Portulaca oleracea collected in stations 3 and 4 must be avoided due to the high concentrations of Zn, and even Cu. The derived estimated daily intake (EDI) dose of Zn will be a risk to human consumption if P. oleracea was the single basis of a soup, although the addition of other ingredients might lower the tolerable upper intake (TUI) value of 39 mg/day of P. oleracea, to admissible levels, i.e., not exceeding 25 mg/day. Pumpkin collected in station 1 contained 44.1 µg g-1 Cu and a TUI value of 9.8 mg/day, when the recommendation must not exceed 5.0 mg/day. In this context, it is strongly advised to not include this vegetable in household menus.