High School Follow-Up of the Dating Matters® RCT: Effects on Teen Dating Violence and Relationship Behaviors.

Teen dating violence (TDV) is a significant public health problem that can have lifelong consequences. Using a longitudinal, cluster randomized controlled trial (RCT), this study examines whether the Dating Matters comprehensive prevention model, implemented in middle school, prevented TDV and negative relationship behaviors and promoted positive relationship behaviors in high school (9th-11th grades), when compared with a standard of care intervention. Dating Matters includes programs for sixth to eighth grade youth and their parents, training for school staff, a youth communications program, and policy and data activities implemented in the community. Self-report survey data were collected from students in 46 middle schools that were randomly assigned to condition within site. Students completed two surveys (fall and spring) in each middle school grade and a single survey in the spring of each high school grade. This study examined self-reported TDV perpetration and victimization, use of negative conflict resolution strategies, and positive relationship skills in the high school follow-up. While varying patterns emerged, latent panel models demonstrated significant program effects for all outcomes. Dating Matters students reported 19% reduced risk for TDV perpetration, 24% reduced risk for TDV victimization, 7% reduced risk for use of negative conflict strategies, and 3% more use of positive relationship skills, on average across time and cohort, than standard of care students. On average, Dating Matters, implemented in middle school, continued to be more effective at reducing TDV perpetration, TDV victimization, and use of negative conflict resolution strategies in high school than an evidence-based comparison program.Trial Registration: clinicaltrials.gov Identifier: NCT01672541.

Testing Cross-Generational Effects of the Raising Healthy Children Intervention on Young Adult Offspring of Intervention Participants.

This study tested whether effects of a preventive intervention delivered in elementary school showed benefits for the young adult offspring of intervention recipients over 20 years later. The Raising Healthy Children (RHC) intervention, trialed in 18 public schools in Seattle, Washington, from 1980-1986 (grades 1-6), sought to build strong bonds to family and school to promote school success and avoidance of substance use and illegal behavior. Four intervention groups were constituted: full, late, parent training only, and control. Participants were followed through 2014 (age 39 years). Those who became parents were enrolled in an intergenerational study along with their oldest offspring (10 assessments between 2002 and 2018). This study includes young adult offspring (ages 18-25 years; n = 169; 52% female; 4% Asian, 25% Black, 40% multiracial, 4% Native American, 2% Native Hawaiian/Pacific Islander, 25% White, and 14% Hispanic/Latinx) of participants in the original RHC trial. Offspring outcome measures included high school noncompletion, financial functioning, alcohol misuse, cannabis misuse, cigarette use, criminal behavior, internalizing behavior, social skills, and social bonding. A global test across all young adult outcome measures showed that offspring of parents who received the full RHC intervention reported better overall functioning compared to offspring of control group parents. Analyses of individual outcomes showed that offspring of full intervention group parents reported better financial functioning than offspring of control group parents. Findings show the potential of universal preventive interventions to provide long-term benefits that reach into the next generation. ClinicalTrials.gov Identifier: NCT04075019; retrospectively registered in 2019.

Prevalence of Violence Victimization and Perpetration During Middle and High School in Underresourced, Urban Communities.

This study describes rates of violence victimization, perpetration, and witnessing in 6th-11th grade for a multisite sample (N = 3,466) of predominantly Black and Hispanic middle- and high-school students from urban areas with high rates of crime and economic disadvantage. Students completed surveys in middle and high school assessing teen dating violence, stalking, sexual violence and harassment, bullying, cyberbullying, and physical violence perpetration and victimization, as well as witnessing violence. The highest prevalence rates are observed most often in 8th or 9th grade. Youth reported high rates of witnessing serious assault and severe community violence throughout adolescence. These findings suggest that efforts to prevent violence among youth living in under-resourced communities need to start early and address community-level socioeconomic disparities.

Associations of Cumulative and Point-in-Time Neighborhood Poverty and Walkability with Body Mass from Age 30 to 39.

Few studies examining the effects of neighborhood exposures have accounted for longitudinal residential history. This study examined associations of body mass index (BMI, kg/m2) with neighborhood-level walkability and poverty, both assessed concurrently and cumulatively in the years leading up to BMI assessment. Participants (N = 808) were from a cohort study of individuals originally recruited from public schools in Seattle, Washington, in fifth grade in 1985. Height and weight for BMI were obtained at four assessments at ages: 30 (in 2005), 33, 35, and 39. Participants also completed residential timelines listing each address where they lived from ages 28 to 39, creating a continuous record of addresses and moves. Neighborhood-level walkability and poverty were based on census block groups of each address. Generalized estimating equation models estimated associations of standardized neighborhood variables, both at point-in-time concurrently with assessment of BMI and cumulatively up to the time of BMI assessment. Mean BMI across observations was 28.8 (SD = 7.1). After adjusting for covariates, cumulative walkability was associated with lower BMI (b = - 0.28; 95% CI: - 0.55, - 0.02), and cumulative neighborhood poverty was associated with higher BMI (b = 0.35; 95% CI: 0.09, 0.60). When examining point-in-time concurrent walkability and poverty with BMI, adjusted associations were close to the null and non-significant. This study provides evidence for a significant role of cumulative exposure to neighborhood built and socioeconomic environments predicting BMI. It underscores the relative strength and importance of cumulative assessments to capture neighborhood exposure not captured through point-in-time assessments.

Neonatal Antiepileptic Medication Treatment Patterns: A Decade of Change.

OBJECTIVE: This study aims to describe the frequency and characteristics of anticonvulsant medication treatments initiated in the neonatal period. STUDY DESIGN: We analyzed a cohort of neonates with a seizure diagnosis who were discharged from institutions in the Pediatric Health Information System between 2007 and 2016. Adjusted risk ratios and 95% confidence intervals for characteristics associated with neonatal (≤ 28 days postnatal) anticonvulsant initiation were calculated via modified Poisson regression. RESULTS: A total of 6,245 infants from 47 institutions were included. There was a decrease in both phenobarbital initiation within the neonatal period (96.9 to 91.3%, p = 0.015) and continuation at discharge (90.6 to 68.6%, p <0.001). Levetiracetam (7.9 to 39.6%, p < 0.001) initiation within the neonatal period and continuation at discharge (9.4 to 49.8%, p < 0.001) increased. Neonates born at ≥ 37 weeks' gestation and those diagnosed with intraventricular hemorrhage, ischemic/thrombotic stroke, other hemorrhagic stroke, and hypoxic ischemic encephalopathy (HIE) had a higher probability of anticonvulsant administration. The most prevalent diagnosis was HIE (n = 2,223, 44.4%). CONCLUSION: Phenobarbital remains the most widely used neonatal seizure treatment. Levetiracetam is increasingly used as a second line therapy. Increasing levetiracetam use indicates a need for additional study to determine its effectiveness in reducing seizure burden and improving long-term outcomes.

Middle School Effects of the Dating Matters® Comprehensive Teen Dating Violence Prevention Model on Physical Violence, Bullying, and Cyberbullying: a Cluster-Randomized Controlled Trial.

Few comprehensive primary prevention approaches for youth have been evaluated for effects on multiple types of violence. Dating Matters®: Strategies to Promote Healthy Teen Relationships (Dating Matters) is a comprehensive teen dating violence (TDV) prevention model designed by the Centers for Disease Control and Prevention and evaluated using a longitudinal stratified cluster-randomized controlled trial to determine effectiveness for preventing TDV and promoting healthy relationship behaviors among middle school students. In this study, we examine the prevention effects on secondary outcomes, including victimization and perpetration of physical violence, bullying, and cyberbullying. This study examined the effectiveness of Dating Matters compared to a standard-of-care TDV prevention program in 46 middle schools in four high-risk urban communities across the USA. The analytic sample (N = 3301; 53% female; 50% Black, non-Hispanic; and 31% Hispanic) consisted of 6th-8th grade students who had an opportunity for exposure to Dating Matters in all three grades or the standard-of-care in 8th grade only. Results demonstrated that both male and female students attending schools implementing Dating Matters reported 11% less bullying perpetration and 11% less physical violence perpetration than students in comparison schools. Female Dating Matters students reported 9% less cyberbullying victimization and 10% less cyberbullying perpetration relative to the standard-of-care. When compared to an existing evidence-based intervention for TDV, Dating Matters demonstrated protective effects on physical violence, bullying, and cyberbullying for most groups of students. The Dating Matters comprehensive prevention model holds promise for reducing multiple forms of violence among middle school-aged youth. ClinicalTrials.gov Identifier: NCT01672541.

Effects of the Dating Matters® Comprehensive Prevention Model on Health- and Delinquency-Related Risk Behaviors in Middle School Youth: a Cluster-Randomized Controlled Trial.

Teen dating violence (TDV) is associated with a variety of delinquent behaviors, such as theft, and health- and delinquency-related risk behaviors, including alcohol use, substance abuse, and weapon carrying. These behaviors may co-occur due to shared risk factors. Thus, comprehensive TDV-focused prevention programs may also impact these other risk behaviors. This study examined the effectiveness of CDC's Dating Matters®: Strategies to Promote Healthy Teen Relationships (Dating Matters) comprehensive TDV prevention model compared to a standard-of-care condition on health- and delinquency-related risk behaviors among middle school students. Students (N = 3301; 53% female; 50% black, non-Hispanic; and 31% Hispanic) in 46 middle schools in four sites across the USA were surveyed twice yearly in 6th, 7th, and 8th grades. A structural equation modeling framework with multiple imputation to account for missing data was utilized. On average over time, students receiving Dating Matters scored 9% lower on a measure of weapon carrying, 9% lower on a measure of alcohol and substance abuse, and 8% lower on a measure of delinquency by the end of middle school than students receiving an evidence-based standard-of-care TDV prevention program. Dating Matters demonstrated protective effects for most groups of students through the end of middle school. These results suggest that this comprehensive model is successful at preventing risk behaviors associated with TDV. clinicaltrials.gov Identifier: NCT01672541.

Effects of Dating Matters® on Sexual Violence and Sexual Harassment Outcomes among Middle School Youth: a Cluster-Randomized Controlled Trial.

Sexual violence (SV), including sexual harassment (SH), is a significant public health problem affecting adolescent health and well-being. This study extends prior research by evaluating the effectiveness of a comprehensive teen dating violence prevention model, Dating Matters, on SV and SH perpetration and victimization, inclusive of any victim-perpetrator relationship, among middle school students. Dating Matters includes classroom-delivered programs for youth in 6th, 7th, and 8th grades; community-based programs for parents; a youth communications program; training for educators; and community-level activities. Middle schools in four urban areas in the USA were randomly assigned to receive Dating Matters (DM, N = 22) or a standard-of-care intervention (SC, N = 24) over four consecutive school years (2012-2016). The analytic sample included two cohorts who entered the study in 6th grade and completed 8th grade by the end of the study allowing for full exposure to Dating Matters (DM: N = 1662; SC: N = 1639; 53% female; 50% black, non-Hispanic; 6 waves of data collection for each cohort). Structural equation modeling was employed with multiple imputation to account for missing data. Dating Matters was associated with significant reductions in SV and SH perpetration and victimization scores in most-but not all-sex/cohort groups by the end of 8th grade relative to an evidence-based TDV prevention program. On average, students receiving Dating Matters scored 6% lower on SV perpetration, 3% lower on SV victimization, 4% lower on SH perpetration, and 8% lower on SH victimization by the end of middle school than students receiving an evidence-based violence prevention program. Overall, Dating Matters shows promise for reducing SV and SH, occurring both within and outside dating relationships, through middle school. Clinicaltrials.gov Identifier: NCT01672541.

Performances of the LBP Based Algorithm over CNN Models for Detecting Crops and Weeds with Similar Morphologies.

Weed invasions pose a threat to agricultural productivity. Weed recognition and detection play an important role in controlling weeds. The challenging problem of weed detection is how to discriminate between crops and weeds with a similar morphology under natural field conditions such as occlusion, varying lighting conditions, and different growth stages. In this paper, we evaluate a novel algorithm, filtered Local Binary Patterns with contour masks and coefficient k (k-FLBPCM), for discriminating between morphologically similar crops and weeds, which shows significant advantages, in both model size and accuracy, over state-of-the-art deep convolutional neural network (CNN) models such as VGG-16, VGG-19, ResNet-50 and InceptionV3. The experimental results on the "bccr-segset" dataset in the laboratory testbed setting show that the accuracy of CNN models with fine-tuned hyper-parameters is slightly higher than the k-FLBPCM method, while the accuracy of the k-FLBPCM algorithm is higher than the CNN models (except for VGG-16) for the more realistic "fieldtrip_can_weeds" dataset collected from real-world agricultural fields. However, the CNN models require a large amount of labelled samples for the training process. We conducted another experiment based on training with crop images at mature stages and testing at early stages. The k-FLBPCM method outperformed the state-of-the-art CNN models in recognizing small leaf shapes at early growth stages, with error rates an order of magnitude lower than CNN models for canola-radish (crop-weed) discrimination using a subset extracted from the "bccr-segset" dataset, and for the "mixed-plants" dataset. Moreover, the real-time weed-plant discrimination time attained with the k-FLBPCM algorithm is approximately 0.223 ms per image for the laboratory dataset and 0.346 ms per image for the field dataset, and this is an order of magnitude faster than that of CNN models.

Opioid-Prescribing Metrics in Washington State: Trends and Challenges.

CONTEXT: Analyses of prescribing trends using prescription drug monitoring programs (PDMP) are impacted by changes in reporting requirements and in the scheduling of medications by the Drug Enforcement Administration. In 2014, the Drug Enforcement Administration changed the status of tramadol from an unscheduled to a scheduled medication. The addition of tramadol to the PDMP may affect the prevalence of opioid-prescribing metrics and the interpretation of prescribing trends. OBJECTIVE: The objectives were to (1) examine trends in opioid prescribing in Washington State between 2012 and 2017, (2) assess the potential impact of adding tramadol to PDMP on these trends, and (3) describe challenges in defining and implementing opioid-prescribing metrics. DESIGN: Analysis of quarterly summary statistics of opioid prescribing. SETTING: Washington State. PARTICIPANTS: Washington State residents. MAIN OUTCOME MEASURES: The metrics include measures of opioid prescribing overall and by age group, chronic opioid prescribing, high-dose prescribing among those on chronic opioid therapy, prescribing of concurrent opioids and sedatives, days' supply of new opioid prescriptions, and transition from short-term to long-term use of opioids. RESULTS: In Washington, the prevalence of any opioid prescribing, chronic opioid prescribing, high-dose opioid prescribing, and prescribing of concurrent opioids and sedatives declined between 2012 and 2017. The prevalence of opioid prescribing was higher in older than in younger age groups. The addition of tramadol to the Washington PDMP in 2014 affected the observed prevalence of all opioid metrics and of all opioid-prescribing trends. Conclusions about trends in opioid prescribing differ substantially depending on whether tramadol is included or not, particularly in 2014 and 2015. CONCLUSIONS: The development of opioid-prescribing metrics is relatively new. There is likely much benefit of standard definitions of opioid metrics at the state and national levels to track important trends and compare progress from state to state.

Early prediction of spontaneous Patent Ductus Arteriosus (PDA) closure and PDA-associated outcomes: a prospective cohort investigation.

BACKGROUND: Patent ductus arteriosus (PDA), the most commonly diagnosed cardiovascular condition in preterm infants, is associated with increased mortality and harmful long-term outcomes (chronic lung disease, neurodevelopmental delay). Although pharmacologic and/or interventional treatments to close PDA likely benefit some infants, widespread routine treatment of all preterm infants with PDA may not improve outcomes. Most PDAs close spontaneously by 44-weeks postmenstrual age; treatment is increasingly controversial, varying markedly between institutions and providers. Because treatment detriments may outweigh benefits, especially in infants destined for early, spontaneous PDA closure, the relevant unanswered clinical question is not whether to treat all preterm infants with PDA, but whom to treat (and when). Clinicians cannot currently predict in the first month which infants are at highest risk for persistent PDA, nor which combination of clinical risk factors, echocardiographic measurements, and biomarkers best predict PDA-associated harm. METHODS: Prospective cohort of untreated infants with PDA (n=450) will be used to predict spontaneous ductal closure timing. Clinical measures, serum (brain natriuretic peptide, N-terminal pro-brain natriuretic peptide) and urine (neutrophil gelatinase-associated lipocalin, heart-type fatty acid-binding protein) biomarkers, and echocardiographic variables collected during each of first 4 postnatal weeks will be analyzed to identify those associated with long-term impairment. Myocardial deformation imaging and tissue Doppler imaging, innovative echocardiographic techniques, will facilitate quantitative evaluation of myocardial performance. Aim1 will estimate probability of spontaneous PDA closure and predict timing of ductal closure using echocardiographic, biomarker, and clinical predictors. Aim2 will specify which echocardiographic predictors and biomarkers are associated with mortality and respiratory illness severity at 36-weeks postmenstrual age. Aim3 will identify which echocardiographic predictors and biomarkers are associated with 22 to 26-month neurodevelopmental delay. Models will be validated in a separate cohort of infants (n=225) enrolled subsequent to primary study cohort. DISCUSSION: The current study will make significant contributions to scientific knowledge and effective PDA management. Study results will reduce unnecessary and harmful overtreatment of infants with a high probability of early spontaneous PDA closure and facilitate development of outcomes-focused trials to examine effectiveness of PDA closure in "high-risk" infants most likely to receive benefit. TRIAL REGISTRATION: ClinicalTrials.gov NCT03782610. Registered 20 December 2018.

Advanced Content Coverage at Kindergarten: Are There Trade-Offs Between Academic Achievement and Social-Emotional Skills?

Policymakers have advocated academic skills building at kindergarten as a way of improving student achievement. However, early childhood educators have concerns with this policy as gains in achievement may come at the expense of children's social-emotional skills. Using a nationally representative data set of kindergartners, we find that advanced academic content, defined as academic skills typically taught at a higher grade, was associated not only with improved math and English/language arts achievement but also with improved social-emotional outcomes. Greater exposure to advanced content was associated with better interpersonal skills, better approaches to learning, better attentional focus, and lower externalizing behaviors. The results suggest that advanced academic content can be taught without compromising children's social-emotional skills.

Using the Early Childhood Environment Rating Scale-Revised in High Stakes Contexts: Does Evidence Warrant the Practice?

Increasingly, states establish different thresholds on the Early Childhood Environment Rating Scale-Revised (ECERS-R), and use these thresholds to inform high-stakes decisions. However, the validity of the ECERS-R for these purposes is not well established. The objective of this study is to identify thresholds on the ECERS-R that are associated with preschool-aged children's social and cognitive development. Applying non-parametric modeling to the nationally-representative Early Childhood Longitudinal Study Birth Cohort (ECLS-B) dataset, we found that once classrooms achieved a score of 3.4 on the overall ECERS-R composite score, there was a leveling-off effect, such that no additional improvements to children's social, cognitive, or language outcomes were observed. Additional analyses found that ECERS-R subscales that focused on teaching and caregiving processes, as opposed to the physical environment, did not show leveling-off effects. The findings suggest that the usefulness of the ECERS-R for discerning associations with children's outcome may be limited to certain score ranges or subscales.

E-cigarette use of young adults motivations and associations with combustible cigarette alcohol, marijuana, and other illicit drugs.

BACKGROUND AND OBJECTIVES: Although the prevalence of e-cigarette use among adolescents and young adults has caught up to or eclipsed that of combustible cigarette use, there is relatively little known about (a) the link between e-cigarettes and other substances and (b) the reasons underlying this increase in e-cigarette use. To address this gap in knowledge, the current study examined associations between e-cigarette use and other substances and identified motives for e-cigarette use among young adults. METHODS: Participants included an ethnically diverse sample of African American, White, and Hispanic young adults (N = 662; 61% female) who were participating in an ongoing survey-based longitudinal study of health and risky behaviors. RESULTS: Hispanic, White, and male young adults reported significantly greater past year e-cigarette use compared to their African American and female counterparts. Bivariate correlations showed that use of e-cigarettes was positively associated with use of combustible cigarettes, alcohol, marijuana, cocaine, amphetamines, inhalants, hallucinogens, ecstasy, and misuse of over-the-counter and prescription medications. Furthermore, e-cigarette users reported a higher prevalence of substance use relative to those who did not use e-cigarettes. The taste of e-cigarettes was identified as an important motive for use. CONCLUSIONS AND SIGNIFICANCE: Although the potential harm associated with e-cigarettes remains largely unknown, e-cigarettes appear to be a risk marker for the use of substances that are known to pose substantial health problems. Health care providers should screen for e-cigarette use, and youth substance use prevention programs should target the reduction of e-cigarette use with particular attention to addressing their taste appeal. (Am J Addict 2017;26:343-348).

Utilization of Professional Mental Health Services Related to Population-Level Screening for Anxiety, Depression, and Post-traumatic Stress Disorder Among Public High School Students.

This study examines results from three mental health screening measures in a cohort of adolescent public school students in seven public schools in Southeast Texas affiliated with the Dating it Safe study. We estimated the odds of receiving professional mental health treatment in the previous year given results from different mental health screening batteries: the CES-D 10 battery for depression screening, the Screen for Child Anxiety Related Disorders, and the Primary Care Posttraumatic Stress Disorder screen. Overall, students with higher scores on screening instruments for depression, posttraumatic stress disorder, and combinations of screening instruments were more likely to have sought past-year professional mental health treatment than non-symptomatic youth. However, the proportion of students screening positive and receiving professional treatment was low, ranging from 11 to 16 %. This study emphasizes the need for broader evaluation of population-based mental health screening among adolescents.

Brief report: Teen sexting and psychosocial health.

The current study examines whether adolescents who report sexting exhibit more psychosocial health problems, compared to their non-sexting counterparts. Participants included 937 ethnically diverse male and female adolescents recruited and assessed from multiple high schools in southeast Texas. Measures included self-report of sexting, impulsivity, alcohol and drug use, and depression and anxiety symptoms. Teen sexting was significantly associated with symptoms of depression, impulsivity, and substance use. When adjusted for prior sexual behavior, age, gender, race/ethnicity, and parent education, sexting was only related to impulsivity and substance use. While teen sexting appears to correlate with impulsive and high-risk behaviors (substance use), we did not find sexting to be a marker of mental health.

Long-term Effects of the Raising Healthy Children Intervention on Family Functioning in Adulthood: A Nonrandomized Controlled Trial.

Some universal prevention programs, such as Raising Healthy Children (RHC), have shown persisting and wide-ranging benefits in adulthood, long after the intervention has ended. Recent studies suggest that benefits may continue into the next generation as well. This study examines whether the RHC intervention, delivered in childhood, may promote healthy family functioning among participants who now have families of their own. Participants were drawn from the Seattle Social Development Project (SSDP), a nonrandomized controlled trial of the RHC intervention prospectively following youths from 18 elementary schools in Seattle, Washington from 1985 to 2014. Participants who became parents were enrolled in an intergenerational study, along with their oldest biological child and an additional caregiver who shared responsibility for raising the child. Ten waves of data were collected between 2002 and 2018. The present analysis includes 298 SSDP parents, 258 caregivers who identified as a parent or partner of SSDP parent ("co-parent"), and 231 offspring. The SSDP parent sample was composed of 41.6% male, 21.1% Asian or Pacific Islander, 24.2% Black or African American, 6.4% Native American, and 48.3% white individuals. No significant intervention effects were found on adult romantic relationship quality; offspring bonding to co-parent; or co-parent past-month use of cannabis, cigarettes, or binge drinking. Findings highlight the continued need to understand how the benefits of theory-guided universal preventive interventions are sustained across the life course and how they may or may not shape family functioning for those who go on to have families and children of their own.ClinicalTrials.gov Identifier: NCT04075019.