Building Infrastructure for Surveillance of Adverse and Positive Childhood Experiences: Integrated, Multimethod Approaches to Generate Data for Prevention Action.

Adverse and positive childhood experiences have a profound impact on lifespan health and well-being. However, their incorporation into ongoing population-based surveillance systems has been limited. This paper outlines critical steps in building a comprehensive approach to adverse and positive childhood experiences surveillance, provides examples from the Preventing Adverse Childhood Experiences: Data to Action cooperative agreement, and describes improvements needed to optimize surveillance data for action. Components of a comprehensive approach to adverse and positive childhood experiences surveillance include revisiting definitions and measurement, including generating and using uniform definitions for adverse and positive childhood experiences across data collection efforts; conducting youth-based surveillance of adverse and positive childhood experiences; using innovative methods to gather and analyze near real-time data; leveraging available data, including from administrative sources; and integrating data on community- and societal-level risk and protective factors for adverse childhood experiences, including social and health inequities such as racism and poverty, as well as policies and conditions that create healthy environments for children and families. Comprehensive surveillance data on adverse and positive childhood experiences can inform data-driven prevention and intervention efforts, including focusing prevention programming and services to populations in greatest need. Data can be used to evaluate progress in reducing the occurrence of adverse childhood experiences and bolstering the occurrence of positive childhood experiences. Through expansion and improvement in adverse and positive childhood experiences surveillance-including at federal, state, territorial, tribal, and local levels-data-driven action can reduce children's exposure to violence and other adversities and improve lifelong health and well-being.

Pain Among Cancer Survivors.

INTRODUCTION: Pain is one of the most common symptoms that people with cancer experience. Identification of demographic, physiologic, and behavioral correlates of pain among cancer survivors could help identify subgroups most in need of pain management. METHODS: We analyzed data from the 2012, 2014, and 2016 Behavioral Risk Factor Surveillance System Cancer Survivorship Optional Module, which was completed by 18 states and territories, to describe demographic and physiologic characteristics of cancer survivors reporting physical pain caused by cancer or cancer treatment. Adjusted and unadjusted population-based estimates and 95% confidence intervals were calculated. RESULTS: Of 12,019 cancer survivor respondents, 9.5% reported current pain related to cancer or cancer treatment. Current pain differed significantly by sex, race/ethnicity, age, and cancer type. Current pain was reported most often among survivors with more than 3 chronic diseases (16.7%) compared with survivors with none (8.1%) or 1 or 2 (10.0%). Pain was higher among survivors reporting fair or poor general health (18.0%) than among survivors reporting otherwise, and higher among survivors reporting more than 14 days of poor physical health (16.6%) or poor mental health (14.8%) compared with less than 14 days (in the past 30 days). CONCLUSIONS: Our results suggest that approximately 10% of cancer survivors in the United States are experiencing pain that may have persisted for years after their initial diagnosis and may not be adequately controlled. Increasing knowledge of the most appropriate pain management planning and strategies for controlling short- and long-term chronic pain among cancer survivors could help reduce the prevalence of pain.

Characteristics of School-Associated Youth Homicides - United States, 1994-2018.

To understand trends and characteristics in school-associated homicides involving youths, data from CDC's School-Associated Violent Death Surveillance System were analyzed for 393 single-victim incidents that occurred during July 1994-June 2016 and 38 multiple-victim incidents (resulting in 121 youth homicides) during July 1994-June 2018. School-associated homicides consistently represent <2% of all youth homicides in the United States (1,2). The overall 22-year trend for single-victim homicide rates did not change significantly. However, multiple-victim incidence rates increased significantly from July 2009 to June 2018. Many school-associated homicides, particularly single-victim incidents, are similar to youth homicides unrelated to schools, often involving male, racial/ethnic minority youth victims, and occurring in urban settings. The majority of both single-victim (62.8%) and multiple-victim (95.0%) homicides were from a firearm-related injury. A comprehensive approach to violence prevention is needed to reduce risk for violence on and off school grounds.

Erbium, Chromium:Yttrium-Scandium-Gallium-Garnet Laser Effectively Ablates Single-Species Biofilms on Titanium Disks Without Detectable Surface Damage.

BACKGROUND: Increasing evidence implicates biofilms, consisting of species such as Porphyromonas gingivalis (Pg), in the etiology of peri-implantitis. Multiple approaches to ablate biofilms on failing implants have been proposed and include use of lasers, most recently the erbium, chromium:yttrium-scandium-gallium-garnet (Er,Cr:YSGG) laser. The purpose of this study is to establish an in vitro single-species biofilm model on implant surfaces and determine power settings of the Er,Cr:YSGG laser that remove biofilm without causing physical damage to disks. METHODS: Single-species biofilms consisting of Pg strain 381 were grown on titanium disks, including: 1) sandblasted, large-grit, acid-etched (SLA); 2) calcium phosphate nano-coated (CaP); 3) anodized; or 4) machined surfaces. Power settings from 0 to 1.5 W using an Er,Cr:YSGG laser equipped with radial firing tip were used. Biofilm formation/removal was quantitated using confocal and scanning electron microscopy. Surface changes in temperature, microroughness, and water contact angle were analyzed. RESULTS: Results show confluent Pg biofilm coating all disk surfaces. The laser removed biofilms from all surfaces, with CaP and SLA surfaces requiring power setting of 1.0 to 1.5 W for ablation of bacteria coating the disks. Within this power range, and with water spray, there were no changes in surface temperature, surface roughness, or contact angle on any surfaces tested. CONCLUSION: The Er,Cr:YSGG laser with radial firing tip and water spray was able to effectively ablate ≥95% of biofilm on all types of tested titanium surfaces, using clinically relevant power settings, without causing measurable physical changes to surfaces.

Diagnostic of laser-induced plasma using Abel inversion and radiation modeling.

A method based on matching synthetic and experimental emissivity spectra was applied to spatially resolved measurements of a laser-induced plasma ignited in argon at atmospheric pressure. The experimental emissivity spectra were obtained by Abel inversion of intensity spectra measured from a thin plasma slice perpendicular to the plasma axis. The synthetic spectra were iteratively calculated from an equilibrium model of plasma radiation that included free-free, free-bound, and bound-bound transitions. From both the experimental and synthetic emissivity spectra, spatial and temporal distributions of plasma temperature and number densities of plasma species (atoms, ions, and electrons) were obtained and compared. For the best-fit synthetic spectra, the temperature and number densities were read directly from the model; for experimental spectra, these parameters were obtained by traditional Boltzmann plot and Stark broadening methods. In both cases, the same spectroscopic data were used. Two approaches revealed a close agreement in electron number densities, but differences in plasma excitation temperatures and atom number densities. The trueness of the two methods was tested by the direct Abel transform that reconstructed the original intensity spectra for comparing them to the measured spectra. The comparison yielded a 9 and 13% difference between the reconstructed and experimental spectra for the numerical and traditional methods, respectively. It was thus demonstrated that the spectral fit method is capable of providing more accurate plasma diagnostics than the Boltzmann plot and Stark broadening methods.