Firearm-Related Lead Exposure and Child Lead Levels in the United States, 2012-2018.

OBJECTIVE: To determine if firearm ownership is positively related to elevated child lead levels at a state-level, even when accounting for other sources of lead. STUDY DESIGN: For this cross-sectional ecological study, we investigated whether household firearm ownership rates (a proxy for firearm-related lead exposure) was associated with the prevalence of elevated child blood lead levels in 44 US States between 2012 and 2018. To account for potential confounding, we adjusted for other known lead exposures, poverty rate, population density, race, and calendar year. To address missing data, we used multiple imputation by chained equations. RESULTS: Prevalence of elevated child blood lead positively correlated with household firearm ownership and established predictors of lead exposure. In fully adjusted negative binomial regression models, child blood lead was positively associated with household firearm ownership and older housing; each IQR (14%) increase in household firearm ownership rate was associated with a 41% higher prevalence of childhood elevated blood lead (prevalence ratio: 1.41, 95% CI: 1.11-1.79). CONCLUSION: These data provide state-level evidence that firearms may be an important source of child lead exposure. More research is needed to substantiate this relationship and identify modifiable pathways of exposure at the individual level.

Firearm licensure, lead levels and suicides in Massachusetts.

Nationally, between 2011 and 2019, suicide was the second leading cause of injury death, and about half of all suicides were firearm related. An overlooked factor connecting firearms and suicide is lead exposure. Lead bullets and primers are used throughout the US and pose danger to adults and children. Most (not all) studies link lead to mental illness, while others link lead with suicide. Research has linked lead and firearm violence, but rarely examined the relationship among firearms, lead exposure, and suicide. We collected data for cities/towns in Massachusetts between 2011 and 2019 regarding the number of firearm licenses, suicides, prevalence of blood lead levels, and covariates. We hypothesized that; 1) towns with higher levels of licensure will have higher levels of firearm suicides but licensure will have little relationship with non-firearm suicide; 2) towns with higher levels of licensures would have higher rates of lead exposure; 3) higher lead levels would be associated with higher rates of suicide by all methods. Individuals living in towns with higher rates of licensure were significantly more likely to die in firearm suicides and all suicide types. They were not more or less likely to die from non-firearm suicides. Lead was a predictor of all suicide types. Our study appears to be the first to show the established firearm suicide relationships holds within municipalities in a single state. We provide evidence concerning the link between lead exposure and suicide, particularly from firearms, and provide a glimpse into the relationship between firearm prevalence and elevated blood lead levels.

Firearm-related lead exposure and pediatric lead levels in Massachusetts: A decade of evidence (2010-2019).

The US has more firearms than any other country in the world and uses lead ammunition almost exclusively. Lead exposure is a significant public health concern and children are at the greatest risk given their exposure to take-home lead. Firearm-related take-home lead exposure may be one of the greatest influences on elevated pediatric blood lead levels. For this ecological and spatial investigation of the relationship between firearm licensure rates as a proxy for firearm-related lead exposure and prevalence of children with blood lead levels ≥5 µg/dL in 351 cities/towns in Massachusetts, we used 10 years of data (2010-2019). We examined this relationship against other known contributors to pediatric lead exposure including old housing stock (lead paint/dust), occupations, and lead in water. Pediatric blood lead levels were positively correlated with licensure, poverty, and certain occupations and negatively correlated with lead in water and police or firefighter employment. Firearm licensure was a major significant predictor of pediatric blood lead alone (ß = 0.13; 95% CI, 0.10, 0.17) and across all regression models. The final model predicted over half the variation in pediatric blood lead (Adjusted R2 = 0.51). Negative binomial analysis found cities/towns with more firearms had higher pediatric blood lead levels (highest quartile fully adjusted prevalence ratio ((aPR) = 1.18; 95% CI, 1.09, 1.30) with a significant increase in pediatric blood lead per increase in firearms (p < 0.001). There were no significant spatial effects, suggesting that although there could be other factors impacting elevated pediatric blood lead, they are unlikely to influence spatial associations. Our paper provides compelling evidence of a potential and dangerous link between lead ammunition and child blood lead levels and is the first to do so using multiple years' worth of data. More research is required to substantiate this relationship on the individual-level and into prevention/mitigation.

Firearm licenses associated with elevated pediatric blood lead levels in Massachusetts.

OBJECTIVE: To determine the association between firearm-related lead exposure and pediatric blood lead levels. METHODS: Using data available through the Massachusetts Departments of Public Health and Criminal Justice Information Services, we examined the association between active class A firearm licenses in a community with the prevalence of elevated blood lead levels in children aged 0-4. Correlational and hierarchical multiple regression analyses were conducted with potential confounders and other exposures such as lead paint, lead in water, presence of firing ranges, and social, economic, and occupational variables. RESULTS: Data from 351 Massachusetts sub-counties were examined. Sub-counties with higher rates of firearm licensure also report higher rates of lead exposure among children. Children in the highest quartile communities were 2.16 times more likely to have elevated BLLs when compared to their peers in the lower quartiles. A one standard deviation change in firearm licensure percentage was found to reflect a 0.96% increase in elevated pediatric blood lead levels. Regression analyses demonstrated that the inclusion of firearm licensure significantly improved the prediction of pediatric BLL. Models were adjusted for percent of a population employed in construction, agriculture, forestry, fishing, hunting, and mining, income distribution, and potential lead paint exposure, which were found to be the primary predictors of elevated pediatric blood lead levels. DISCUSSION: Firearm use and ownership remains one of the least researched areas in the public health sphere. While the risks of childhood lead exposure are widely understood, including the mechanisms of firearm-related lead exposure and tracking, to date no research has extensively examined it in children and on the community level. Our findings indicate a dire need for continued research on the risks associated with firearm use, ownership, and lead exposure.

Mesoscale texture of cement hydrates.

Strength and other mechanical properties of cement and concrete rely upon the formation of calcium-silicate-hydrates (C-S-H) during cement hydration. Controlling structure and properties of the C-S-H phase is a challenge, due to the complexity of this hydration product and of the mechanisms that drive its precipitation from the ionic solution upon dissolution of cement grains in water. Departing from traditional models mostly focused on length scales above the micrometer, recent research addressed the molecular structure of C-S-H. However, small-angle neutron scattering, electron-microscopy imaging, and nanoindentation experiments suggest that its mesoscale organization, extending over hundreds of nanometers, may be more important. Here we unveil the C-S-H mesoscale texture, a crucial step to connect the fundamental scales to the macroscale of engineering properties. We use simulations that combine information of the nanoscale building units of C-S-H and their effective interactions, obtained from atomistic simulations and experiments, into a statistical physics framework for aggregating nanoparticles. We compute small-angle scattering intensities, pore size distributions, specific surface area, local densities, indentation modulus, and hardness of the material, providing quantitative understanding of different experimental investigations. Our results provide insight into how the heterogeneities developed during the early stages of hydration persist in the structure of C-S-H and impact the mechanical performance of the hardened cement paste. Unraveling such links in cement hydrates can be groundbreaking and controlling them can be the key to smarter mix designs of cementitious materials.

Portable x-ray fluorescence for bone lead measurement: Current approaches and future directions.

PURPOSE OF REVIEW: Legacy lead exposures persist as a widespread problem. Blood lead is traditionally used for lead exposure surveillance; however, bone lead proves to be a cheaper, more accessible, and more revealing tool for surveillance that can be measured using portable x-ray fluorescence techniques. We outline how this approach excels for bone lead measurements. RECENT FINDINGS: Portable XRF offers quick, non-invasive in vivo quantification of bone lead. Compared to traditional KXRF systems, pXRF is limited to cortical bone but allows for quicker and similar results. Current methodologies of lead exposure need re-evaluation as lead-related disease burden and trends are dependent on both cumulative and acute impacts. We examined the evolution of XRF techniques for measuring bone lead, comparing current methods with previous ones. We assessed their accuracy, identified limitations, and discussed potential advances in future techniques. Legacy lead exposures call for a revitalization of lead surveillance methods, and pXRF measurement of bone lead offers such a solution.

High surface area and interconnected nanoporosity of clay-rich astromaterials.

Porosity affects key astromaterial processes from disruption in our atmosphere and impact with the ground, to the comminution of boulders by thermal and impact processes and slope mechanics on asteroid surfaces, to access and utilization of in-situ resources. Whereas the bulk porosity of clay-rich meteorites is well established, the magnitude of their surface area and nano-scale porosity is poorly known. Here we use N2 BET gas adsorption to measure the specific surface area and nanoscale pore distribution in several clay-rich meteorites. Two recent falls Tarda (C2-ung) and Aguas Zarcas (CM2) have specific surface areas of 72.5 and 16.5 m2/g, respectively. However, the specific surface area of Tarda ranges from 33.7 to 81.6 m2/g depending on outgassing conditions. The Tarda surface area is dominated by an interconnected network of ~ 3-nm-sized pores, whereas Aguas Zarcas shows a lower density of ~ 3 nm pores and broader size distribution around 40 nm. In contrast, Ivuna and Orgueil (CI1) have surface areas of ~ 15 to 18 m2/g: the low values compared to Tarda are likely due to the neoformation of pore-blocking minerals during atmospheric exposure. These data suggest that returned samples from asteroids Ryugu and Bennu, which are mineralogically and texturally similar to Tarda, also have interconnected nano-scale porosity with high surface area.

Neural markers of depression risk predict the onset of depression.

Although research highlights neural correlates of Major Depressive Disorder (MDD), it is unclear whether these correlates reflect the state of depression or a pre-existing risk factor. The current study examined whether baseline differences in brain activations, resting-state connectivity, and brain structural differences between non-symptomatic children at high- and low-risk for MDD based on familial depression prospectively predict the onset of a depressive episode or increases in depressive symptomatology. We re-assessed 44 participants (28 high-risk; 16 low-risk) who had undergone neuroimaging in a previous study 3-4 years earlier (Mean age at follow-up = 14.3 years, SD = 1.9 years; 45% females; 70% Caucasian). We investigated whether baseline brain imaging data (including an emotional face match task fMRI, resting-state fMRI and structural MRI) that differentiated the risk groups also predicted the onset of depression. Resting-state functional connectivity abnormalities in the default mode and cognitive control network that differentiated high-risk from low-risk youth at baseline predicted the onset of MDD during adolescence, after taking risk status into account. Increased functional activation to both happy and fearful faces was associated with greater decreases in self-reported depression symptoms at follow-up. This preliminary evidence could be used to identify youth at-risk for depression and inform early intervention strategies.

Predicting the Young's Modulus of Silicate Glasses using High-Throughput Molecular Dynamics Simulations and Machine Learning.

The application of machine learning to predict materials' properties usually requires a large number of consistent data for training. However, experimental datasets of high quality are not always available or self-consistent. Here, as an alternative route, we combine machine learning with high-throughput molecular dynamics simulations to predict the Young's modulus of silicate glasses. We demonstrate that this combined approach offers good and reliable predictions over the entire compositional domain. By comparing the performances of select machine learning algorithms, we discuss the nature of the balance between accuracy, simplicity, and interpretability in machine learning.