Does Implementation Matter? Associations Between Implementation of Maine's Anti- Bullying Law and Bullying Victimization Among High School Youth

PURPOSE

To characterize the relationship between implementation of an antibullying law and bullying rates among high school youth.

METHODS

School staff (administrators, counselors, and teachers) from public high schools in Maine completed a survey assessing: (1) the frequency with which they implemented 17 components of their district's antibullying policy as mandated by state law; and (2) confidence in implementing the law. Their responses were linked to data on bullying victimization among high school respondents to the Maine Integrated Youth Health Survey, which created a population-based dataset of 84 high schools with 29,818 student responses.

RESULTS

Students in schools where administrators (adjusted odds ratio = 0.93; 95% CI: 0.89, 0.97) and counselors (adjusted odds ratio = 0.86; 95% CI: 0.81, 0.92) reported implementing more mandated components of the law experienced notable reductions in the odds of bullying, controlling for student-level characteristics (sex, race, grade) and for school-level bullying rates assessed prior to the passage of the law. With respect to specific implementation components, bullying was most consistently reduced in schools where staff reported increased referrals for counseling and other supports for targets of bullying and in schools where counselors and teachers were interviewed as part of bullying investigations. Students in schools where teachers reported increased confidence in implementing the antibullying law also had reduced odds of bullying.

DISCUSSION

These data provide some of the first evidence that the efficacy of a state's antibullying law depends in part on the extent to which school personnel implement the law.

Building A Comprehensive, Longitudinal Dataset to Advance Research on the Efficacy of State-Level Anti-bullying Legislation: 1999 to 2017

Bullying is one of the most common forms of youth violence and is associated with myriad adverse consequences over the life course. There has been increasing interest in examining whether anti-bullying legislation is effective in preventing bullying victimization and its negative effects. However, a lack of data structures that comprehensively and longitudinally assess anti-bullying legislation and its provisions has hampered this effort. We provide 18 years of data (1999-2017) on anti-bullying legislation and amendments across 50 U.S. states and the District of Columbia, which we are making publicly available at LawAtlas.org. This article describes how the legal content analysis was conducted, provides information on the reliability of the coding, and details provisions of the legislation that were coded, such as funding provisions and enumerated groups (a total of 122 individual codes are provided). Over 90% of states had at least one amendment to their legislation during this 18-year period (range: 0-22; Mean = 6.1), highlighting both the evolving content of anti-bullying statutes and the importance of tracking these changes with longitudinal data. Additionally, we offer illustrative examples of the kinds of research questions that might be pursued with these new data. For instance, using survival analyses, we show that a variety of state characteristics (e.g., political leaning of state legislatures) predict time to adoption of key provisions of anti-bullying legislation (e.g., the comprehensiveness of legal provisions). Finally, we end with a discussion of how the dataset might be used in future research on the efficacy of anti-bullying legislation.

Barriers and Facilitators to the Online Delivery of a School-Based Intervention to Reduce Racial Trauma

Students of color face disproportionate rates of adverse childhood experiences, including racial discrimination in school settings. Effective interventions strategies are needed to address school-based racial trauma. Link for Equity was designed to be a culturally-responsive trauma-informed intervention that includes universal cultural humility training for teachers. As a result of the COVID-19 pandemic, the in-person trauma-informed cultural humility training was adapted for online delivery. The purpose of this study was to assess barriers and facilitators that impacted online delivery of the training. We conducted semi-structured interviews with 25 high school teachers from three public school districts in the Midwestern United States who participated in the online training. Interview transcripts were coded by two team members, and thematic analysis was utilized. Barriers and facilitators to online delivery were identified across five domains: receptivity, logistics, engagement, comfort, and application. The implications of these barriers and facilitators are discussed and tailored recommendations for the virtual delivery of culturally-responsive trauma-informed interventions to reduce racial discrimination in schools are provided.

Impacts of COVID-19 on Stress in Middle School Teachers and Staff in Minnesota: An Exploratory Study Using Random Forest Analysis

While the COVID-19 pandemic has negatively impacted many occupations, teachers and school staff have faced unique challenges related to remote and hybrid teaching, less contact with students, and general uncertainty. This study aimed to measure the associations between specific impacts of the COVID-19 pandemic and stress levels in Minnesota educators. A total of 296 teachers and staff members from eight middle schools completed online surveys between May and July of 2020. The Epidemic Pandemic Impacts Inventory (EPII) measured the effects of the COVID-19 pandemic according to nine domains (i.e., Economic, Home Life). The Kessler-6 scale measured non-specific stress (range: 0-24), with higher scores indicating greater levels of stress. Random forest analysis determined which items of the EPII were predictive of stress. The average Kessler-6 score was 6.8, indicating moderate stress. Three EPII items explained the largest amount of variation in the Kessler-6 score: increase in mental health problems or symptoms, hard time making the transition to working from home, and increase in sleep problems or poor sleep quality. These findings indicate potential areas for intervention to reduce employee stress in the event of future disruptions to in-person teaching or other major transitions during dynamic times.

Opioid-related Mortality in United States Death Certificate Data: A Quantitative Bias Analysis With Expert Elicitation of Bias Parameters

BACKGROUND

Opioid-related mortality is an important public health problem in the United States. Incidence estimates rely on death certificate data generated by health care providers and medical examiners. Opioid overdoses may be underreported when other causes of death appear plausible. We applied physician-elicited death certificate bias parameters to quantitative bias analyses assessing potential age-related differential misclassification in US opioid-related mortality estimates.

METHODS

We obtained cause-of-death data (US, 2017) from the National Center for Health Statistics and calculated crude opioid-related outpatient death counts by age category (25-54, 55-64, 65+). We elicited beliefs from 10 primary care physicians on sensitivity of opioid-related death classification from death certificates. We summarized elicited sensitivity estimates, calculated plausible specificity values, and applied resulting parameters in a probabilistic bias analysis.

RESULTS

Physicians estimated wide sensitivity ranges for classification of opioid-related mortality by death certificates, with lower estimated sensitivities among older age groups. Probabilistic bias analyses adjusting for physician-estimated misclassification indicated 3.1 times more (95% uncertainty interval: 1.2-23.5) opioid-related deaths than the observed death count in the 65+ age group. All age groups had substantial increases in bias-adjusted death counts.

CONCLUSIONS

We developed and implemented a feasible method of eliciting physician expert opinion on bias parameters for sensitivity of a medical record-based death indicator and applied findings in quantitative bias analyses adjusting for differential misclassification. Our findings are consistent with the hypothesis that opioid-related mortality rates may be substantially underestimated, particularly among older adults, due to misclassification in cause-of-death data from death certificates.

Economic Hardship and Violence: A Comparison of County-Level Economic Measures in the Prediction of Violence-Related Injury

Economic hardship may lead to a wide range of negative outcomes, including violence. However, existing literature on economic hardship and violence is limited by reliance on official reports of violence and conflation of different measures of economic hardship. The goals of this study are to measure how violence-related injuries are associated with five measures of county-level economic shocks: unemployment rate, male mass layoffs, female mass layoffs, foreclosure rate, and unemployment rate change, measured cross-sectionally and by a 1-year lag. This study measures three subtypes of violence outcomes (child abuse, elder abuse, and intimate partner violence). Yearly county-level data were obtained on violence-related injuries and economic measures from 2005 to 2012 for all 87 counties in Minnesota. Negative binomial models were run regressing the case counts of each violence outcome at the county-year level on each economic indicator modeled individually, with population denominator offsets to yield incidence rate ratios. Crude models were run first, then county-level socio-demographic variables and year were added to each model, and finally fully-adjusted models were run including all socio-demographic variables plus all economic indicators simultaneously. In the fully-adjusted models, a county's higher foreclosure rate is the strongest and most consistently associated with an increase in all violence subtypes. Unemployment rate is the second strongest and most consistent economic risk factor for all violence subtypes. Lastly, there appears to be an impact of gender specific to economic impacts on child abuse; specifically, male mass-lay-offs were associated with increased rates while female mass-lay-offs were associated with decreased rates. Understanding the associations of different types of economic hardship with a range of violence outcomes can aid in developing more holistic prevention and intervention efforts.

Link for Equity, a community-engaged waitlist randomized controlled trial of a culturally responsive trauma-informed care program for BIPOC students: Design features and characteristics of baseline sample

BACKGROUND

Link for Equity is a multi-tiered, school-based program of trauma-informed care and cultural humility designed to reduce the impact of Adverse Child Experiences among Black Indigenous and other children of color (BIPOC). This report describes the program, its trial design, and the study participants' baseline characteristics.

METHODS

We designed a nested waitlist-controlled trial to evaluate Link for Equity's effectiveness in reducing school violence among BIPOC students. Three pairs of school districts, matched on suspension rates and enrollment of Black/African American, Hispanic/Latinx, and American Indian/Alaska Native children, were randomized into either an intervention or delayed intervention (waitlist control) group. A community-engaged approach guided the development of protocols. Within intervention sites, BIPOC students who screened positive for ACEs or posttraumatic stress were also randomized into an immediate and waitlist control group to receive additional one-on-one support from trained school staff.

RESULTS

The trial was implemented from 2019 to 2021, which overlapped with the pandemic and civil unrest in Minnesota. At baseline, 444 staff and 188 students enrolled in the study. Over a quarter of American Indian/Alaska Native students, 18% of multiple race, 12% of Black/African American, 14% of Hispanic/Latinx students reported 4+ ACEs. Between 44 and 53% of all the BIPOC students in the study were symptomatic for PTSD. Of the enrolled students, 78.7% qualified for one-on-one Link support.

CONCLUSION

We implemented a multilevel waitlist-controlled trial of Link for Equity using community-engaged methods. Despite school closures during the pandemic, the study persisted with its methods now being employed in an expanded cohort of middle schools.

TRIAL REGISTRATION

ClinicalTrials.gov (NCT04026477, NCT04026490).

Development of a Checklist to Identify Injury Hazards on Row Crop Farms in the Midwestern United States

Agriculture is among the most dangerous industries in the U.S., yet routine surveillance of injury hazards is not currently being conducted on a national level. The objectives of this study were to describe a new tool, called the Hazard Assessment Checklist (HAC), to identify and characterize farm hazards that increase injury risk to farmers and farm workers, and (2) report the inter-rater reliability of the new tool when administered on row-crop farms in Iowa. Based on a literature review and a consensus of expert opinion, the HAC included hazards related to self-propelled vehicles, powered portable implements, fixed machinery and equipment, farm buildings and structures, fall risks, and portable equipment associated with fall risk. A scoring metric indicating the extent of compliance with recommended safety guidelines and standards was developed for each item of the HAC, which included compliant, minimal improvement needed, substantial improvement needed, and not compliant. Inter-rater reliability was assessed from data collected by research staff on 52 row crop farms in Iowa. Cohen's weighted Kappa values demonstrated high inter-rater reliability, ranging between 0.86 and 0.94, for all HAC sections. The HAC can be completed in 1.5-2 hours on each farm and requires about three hours of training, two hours of which are spent in field training. The ability to monitor injury-related hazards over time using an empirically driven tool will contribute significantly to injury prevention efforts in an industry with consistently high rates of fatal and nonfatal injury.

Violence in the Great Recession

Substantial evidence suggests that economic hardship causes violence. However, a large majority of this research relies on observational studies that use traditional violence surveillance systems that suffer from selection bias and over-represent vulnerable populations, such as people of color. To overcome limitations of prior work, we employed a quasi-experimental design to assess the impact of the Great Recession on explicit violence diagnoses (injuries identified to be caused by a violent event) and proxy violence diagnoses (injuries highly correlated with violence) for child maltreatment, intimate partner violence, elder abuse, and their combination. We used Minnesota hospital data (2004-2014), conducting a difference-in-differences analysis at the county level (n = 86) using linear regression to compare changes in violence rates from before the recession (2004-2007) to after the recession (2008-2014) in counties most affected by the recession, versus changes over the same time period in counties less affected by the recession. The findings suggested that the Great Recession had little or no impact on explicitly identified violence; however, it affected proxy-identified violence. Counties that were more highly affected by the Great Recession saw a greater increase in the average rate of proxy-identified child abuse, elder abuse, intimate partner violence, and combined violence when compared with less-affected counties.

School-Based Diversity Education Activities and Bias-Based Bullying Among Secondary School Students

Bias-based bullying (e.g., bullying related to race, weight, sexual orientation) is a common experience among youth, yet few school-based prevention programs explicitly address this type of bullying. This study explores whether schools that offer diversity education activities have lower rates of bias-based bullying among students compared to schools that do not offer these activities. Data came from two sources: the 2018 CDC School Profiles Survey (N = 216 schools) and the 2019 Minnesota Student Survey (N = 64,510 students). Multilevel logistic regression tested associations between diversity education activities (diversity clubs, lessons, or special events) and eight types of bias-based bullying among students, with attention to effect modification by relevant demographic characteristics. Students attending schools that offer a wider variety of diversity education opportunities had significantly lower odds of bullying about race, ethnicity, or national origin among boys of color (OR = 0.89, CI: 0.80, 1.00), about sexual orientation for gay, bisexual, and questioning boys (OR = 0.81, CI: 0.67, 0.97), and about disability for boys with a physical health problem (OR = 0.86, CI: 0.76, 0.99). Attending a school with more types of diversity education activities may protect vulnerable students against specific types of bias-based bullying and advance health equity. A diversity education is recommended as a key component of antibullying efforts and policy.

Cognitive factors influenced physical distancing adherence during the COVID-19 pandemic in a population-specific way

Even early in the COVID-19 pandemic, adherence to physical distancing measures was variable, exposing some communities to elevated risk. While cognitive factors from the Health Belief Model (HBM) and resilience correlate with compliance with physical distancing, external conditions may preclude full compliance with physical distancing guidelines. Our objective was to identify HBM and resilience constructs that could be used to improve adherence to physical distancing even when full compliance is not possible. We examined adherence as expressed through 7-day non-work, non-household contact rates in two cohorts: 1) adults in households with children from Minnesota and Iowa; and 2) adults ≥50 years-old from Minnesota, one-third of whom had Parkinson's disease. We identified multiple cognitive factors associated with physical distancing adherence, specifically perceived severity, benefits, self-efficacy, and barriers. However, the magnitude, and occasionally the direction, of these associations was population-dependent. In Cohort 1, perceived self-efficacy for remaining 6-feet from others was associated with a 29% lower contact rate (RR 0.71; 95% CI 0.65, 0.77). This finding was consistent across all race/ethnicity and income groups we examined. The barriers to adherence of having a child in childcare and having financial concerns had the largest effects among individuals from marginalized racial and ethnic groups and high-income households. In Cohort 2, self-efficacy to quarantine/isolate was associated with a 23% decrease in contacts (RR 0.77; 95% CI 0.66, 0.89), but upon stratification by education level, the association was only present for those with at least a Bachelor's degree. Education also modified the effect of the barrier to adherence leaving home for work, increasing contacts among those with a Bachelor's degree and reducing contacts among those without. Our findings suggest that public health messaging tailored to the identified cognitive factors has the potential to improve physical distancing adherence, but population-specific needs must be considered to maximize effectiveness.

The association between drought conditions and increased occupational psychosocial stress among U.S. farmers: An occupational cohort study

BACKGROUND

Drought represents a globally relevant natural disaster linked to adverse health. Evidence has shown agricultural communities to be particularly susceptible to drought, but there is a limited understanding of how drought may impact occupational stress in farmers.

METHODS

We used repeated measures data collected in the Musculoskeletal Symptoms among Agricultural Workers Cohort study, including 498 Midwestern U.S. farmers surveyed with a Job Content Questionnaire (JCQ) at six-month intervals in 312 counties from 2012 through 2015. A longitudinal linear mixed effects model was used to estimate the change in job strain ratio, a continuous metric of occupational psychosocial stress, during drought conditions measured with a 12-month standardized precipitation index. We further evaluated associations between drought and psychological job demand and job decision latitude, the job strain components, and applied a stratified analysis to evaluate differences by participant sex, age, and geography.

RESULTS

During the growing season, the job strain ratio increased by 0.031 (95% CI: 0.012, 0.05) during drought conditions, an amount equivalent to a one-half standard deviation change (Cohen's D = 0.5), compared to non-drought conditions. The association between drought and the job strain ratio was driven mostly by increases in the psychological job demand (2.09; 95% CI: 0.94, 3.24). No risk differences were observed by sex, age group, or geographic region.

CONCLUSIONS

Our results suggest a previously unidentified association between drought and increased occupational psychosocial stress among farmers. With North American climate anticipated to become hotter and drier, these findings could provide important health effects data for federal drought early warning systems and mitigation plans.

Measuring the hidden burden of violence: use of explicit and proxy codes in Minnesota injury hospitalizations, 2004-2014

PURPOSE

Commonly-used violence surveillance systems are biased towards certain populations due to overreporting or over-scrutinized. Hospital discharge data may offer a more representative view of violence, through use of proxy codes, i.e. diagnosis of injuries correlated with violence. The goals of this paper are to compare the trends in violence in Minnesota, and associations of county-level demographic characteristics with violence rates, measured through explicitly diagnosed violence and proxy codes. It is an exploration of how certain sub-populations are overrepresented in traditional surveillance systems.

METHODS

Using Minnesota hospital discharge data linked with census data from 2004 to 2014, this study examined the distribution and time trends of explicit, proxy, and combined (proxy and explicit) codes for child abuse, intimate partner violence (IPV), and elder abuse. The associations between county-level risk factors (e.g., poverty) and county violence rates were estimated using negative binomial regression models with generalized estimation equations to account for clustering over time.

RESULTS

The main finding was that the patterns of county-level violence differed depending on whether one used explicit or proxy codes. In particular, explicit codes suggested that child abuse and IPV trends were flat or decreased slightly from 2004 to 2014, while proxy codes suggested the opposite. Elder abuse increased during this timeframe for both explicit and proxy codes, but more dramatically when using proxy codes. In regard to the associations between county level characteristics and each violence subtype, previously identified county-level risk factors were more strongly related to explicitly-identified violence than to proxy-identified violence. Given the larger number of proxy-identified cases as compared with explicit-identified violence cases, the trends and associations of combined codes align more closely with proxy codes, especially for elder abuse and IPV.

CONCLUSIONS

Violence surveillance utilizing hospital discharge data, and particularly proxy codes, may add important information that traditional surveillance misses. Most importantly, explicit and proxy codes indicate different associations with county sociodemographic characteristics. Future research should examine hospital discharge data for violence identification to validate proxy codes that can be utilized to help to identify the hidden burden of violence.

Comparative Effectiveness of Parent-Based Interventions to Support Injured Children

OBJECTIVES

A comparative effectiveness trial tested 2 parent-based interventions in improving the psychosocial recovery of hospitalized injured children: (1) Link for Injured Kids (Link), a program of psychological first aid in which parents are taught motivational interviewing and stress-screening skills, and (2) Trauma Education, based on an informational booklet about trauma and its impacts and resources.

METHODS

A randomized controlled trial was conducted in 4 children's hospitals in the Midwestern United States. Children aged 10 to 17 years admitted for an unintentional injury and a parent were recruited and randomly assigned to Link or Trauma Education. Parents and children completed questionnaires at baseline, 6 weeks, 3 months, and 6 months posthospitalization. Using an intent-to-treat analysis, changes in child-reported posttraumatic stress symptoms, depression, quality of life, and child behaviors were compared between intervention groups.

RESULTS

Of 795 injured children, 314 children and their parents were enrolled into the study (40%). Link and Trauma Education was associated with improved symptoms of posttraumatic stress, depression, and pediatric quality of life at similar rates over time. However, unlike those in Trauma Education, children in the Link group had notable improvement of child emotional behaviors and mild improvement of conduct and peer behaviors. Compared with Trauma Education, Link was also associated with improved peer behaviors in rural children.

CONCLUSION

Although children in both programs had reduced posttrauma symptoms over time, Link children, whose parents were trained in communication and referral skills, exhibited a greater reduction in problem behaviors.

A cross sectional study of non-medical use of prescription opioids and suicidal behaviors among adolescents

Background

Non-medical use of prescription opioids (NMUPO), defined as taking an opioid in a manner or dose other than prescribed, taking someone else’s, or for the feelings that it produces, has been reported by 5 to 20% of adolescents, and is associated with a two fold increase in suicidal behaviors among adolescents. Adolescents with long-term health problems (LTHP) have poorer mental health and may seek NMUPO for pain relief that is not obtained through standard care. For this study, we measured the association between NMUPO and suicidal behaviors, and further assessed effect modification by LTHP hypothesizing the association between NMUPO and suicidal behaviors was stronger for adolescents with LTHP.

Findings

For students with LTHP, 13.5% reported suicide ideation, while 8.0% of students without LTHP reported suicide ideation. For suicide attempt, 4.4% of students with LTHP reported a suicide attempt, while 2.1% of students without LTHP reported a suicide attempt. The proportion of students who reported suicide ideation and attempts increased with higher occasions of NMUPO. Adjusted logistic regression models found increased odds of suicide ideation (OR (95% CI): 1–5 occasions: 2.3 (2.0–2.6); > 6 occasions: 2.7 (2.2–3.8)) and suicide attempts (OR (95% CI): 1–5 occasions: 3.2 (2.7–3.7); > 6 occasions: 4.1 (3.1–5.3)) for students who reported NMUPO. An interaction term for NMUPO and LTHP was then added to the models. Effect modification was not present on the multiplicative scale. On the additive scale, evidence of effect modification was observed: higher risk was indicated for students with LTHP versus no LTHP for both suicide ideation (Predicted risk (95%CI): > 6 occasions NMUPO, LTHP: 0.24 (0.18–0.29); No LTHP: 0.16 (0.13–0.18)) and attempt (Predicted risk (95%CI): 1–5 occasions NMUPO, LTHP: 0.08 (0.07–0.10); No LTHP: 0.05 (0.05–0.06); > 6 occasions NMUPO, LTHP: 0.11 (0.07–0.15); No LTHP: 0.06 (0.05–0.08)).

Conclusions

The results affirmed that NMUPO is associated with suicidal behaviors among adolescents. A pattern also emerged of higher risk of suicidal behaviors for those with LTHP who reported NMUPO. Areas of further inquiry should explore chronic medical or pain conditions as possible modifying pathways that could exacerbate the effects of NMUPO on suicidal behaviors specific to an adolescent population.

Examining the Association Between Age and Tractor Driving Performance Measures Using a High-Fidelity Tractor Driving Simulator

HIGHLIGHTS This study uses a new tractor driving simulator to examine the impact of age on perception response time in an emergency braking situation. The results demonstrate increased risk for crash among older farm equipment operators. ABSTRACT. Transportation-related incidents are the leading cause of occupational fatalities for all industries in the U.S. In the agriculture industry, where tractor-related incidents are the leading cause of occupational fatality, fatal crashes occur more frequently among senior farm equipment operators (FEOs) than younger FEOs. This study examined the association between age and driving performance among FEOs using a simulated driving environment. We demonstrated that older FEOs have longer perception response times when encountering an incurring semi-truck during a simulated drive than younger FEOs. These results persisted when adjusted for selected medical diagnoses and medications, tractor generation, and tractor horsepower. However, due to the small sample size and limitations of the tractor driving simulator, its use for event perception response time research is questionable. The tractor driving simulator used in this study may be better suited for distracted driving studies and studies comparing the ways in which FEOs drive passenger vehicles compared to tractors.

Cost, Severity and Prevalence of Agricultural-Related Injury Workers' Compensation Claims in Farming Operations from 14 U.S. States

(1) Background: There is no national surveillance of agricultural injuries, despite agricultural occupations being among the most hazardous in the U.S. This effort uses workers' compensation (WC) data to estimate the burden of agricultural injuries and the likelihood of experiencing an injury by body part involved, cause, and nature in farming operations. (2) Methods: WC data from 2010 to 2016 provided by a large insurance company covering small to medium-sized farm operations from 14 U.S. states was used. We investigated the associations between injury characteristics and WC costs and the risk of having a more severe versus a less severe claim. The proportion of costs attributable to specific claim types was calculated. (3) Results: Of a total 1000 claims, 67% were medical only. The total cost incurred by WC payable claims (n = 866) was USD 21.5 million. Of this, 96% was attributable to more severe claims resulting in disabilities or death. The most common body part injured was the distal upper extremity. Falling or flying objects and collisions were the most expensive and common causes of injury. (4) Conclusions: Characterizing the cost and severity of agricultural injury by key injury characteristics may be useful when prioritizing prevention efforts in partnership with insurance companies and agricultural operations.

Approach to analysing correlated contextual factors: an application for studies on violence

BACKGROUND

Numerous public health studies, especially in the area of violence, examine the effects of contextual or group-level factors on health outcomes. Often, these contextual factors exhibit strong pairwise correlations, which pose a challenge when these factors are included as covariates in a statistical model. Such models may be characterised by inflated standard errors and unstable parameter estimates that may fluctuate drastically from sample to sample, where the excessive estimation variability is reflected by inflated standard errors.

METHODS

We propose a three-stage approach for analysing correlated contextual factors that proceeds as follows: (1) a principal components analysis (PCA) is performed on the original set of correlated variables, (2) the primary generated principal components are included in a multilevel multivariable model and (3) the estimated parameters for these components are transformed into estimates for each of the original contextual factors. Using school violence data, we examined the associations between school crime and correlated contextual school factors (ie, English proficiency, academic performance, pupil to teacher ratio, average class size and children on free and reduced meals).

RESULTS

From models ignoring correlations, school crime was not reliably associated with any of the contextual school factors. When models were fit with principal components, school crime was found to be positively associated with a school's student to teacher ratio, average classroom size and academic performance but negatively associated with the proportion of children who were on free and reduced meals.

CONCLUSION

Our multistep approach is one way to address multicollinearity encountered in social epidemiological studies of violence.

Rural Counties With Majority Black Or Indigenous Populations Suffer The Highest Rates Of Premature Death In The US

Despite well-documented health disparities by rurality and race/ethnicity, research investigating racial/ethnic health differences among US rural residents is limited. We used county-level data to measure and compare premature death rates in rural counties by each county's majority racial/ethnic group. Premature death rates were significantly higher in rural counties with a majority of non-Hispanic black or American Indian/Alaska Native (AI/AN) residents than in rural counties with a majority of non-Hispanic white residents. After we adjusted for community-level covariates, differences in premature death remained significant in counties with a majority of AI/AN residents but not those with a majority of non-Hispanic black residents. This study highlights the particular vulnerability of non-Hispanic black and AI/AN rural communities to high rates of premature mortality. Policies to improve rural health should focus on these racially diverse communities, addressing economic vitality and current and historical political context to mitigate health inequities and the harmful health effects of neglecting social determinants of health.

Workplace violence victimization in young workers: An analysis of the US National Crime Victimization Survey, 2008 to 2012

BACKGROUND

The aim of this study was to measure the frequency of workplace violence (WPV) victimization in 16 to 24-year olds in the United States and compare rates by occupation and demographics.

METHODS

As an open cohort, participants 12 years or older in the National Crime Victimization Survey were interviewed at 6-month intervals over a 3-year period from 2008 to 2012. WPV victimization rates were calculated. Weighted, multilevel Poisson regression was used to compare WPV victimization rates by occupation and demographics.

RESULTS

The rate of WPV victimization was 1.11 incidents per 1000 employed person-months (95% confidence interval: 0.95-1.27). The highest rates of WPV were in protective service occupations (5.24/1000 person-months), transportation (3.04/1000 person-months), and retail sales (2.29/1000 person-months). Compared with their respective counterparts, lower rates of WPV victimization were found among younger, black, and rural/suburban workers.

CONCLUSIONS

Findings identify occupations and target populations in need of future research and evidence-based interventions to improve the working conditions for young workers.

Public health application of predictive modeling: an example from farm vehicle crashes

Background

The goal of predictive modelling is to identify the likelihood of future events, such as the predictive modelling used in climate science to forecast weather patterns and significant weather occurrences. In public health, increasingly sophisticated predictive models are used to predict health events in patients and to screen high risk individuals, such as for cardiovascular disease and breast cancer. Although causal modelling is frequently used in epidemiology to identify risk factors, predictive modelling provides highly useful information for individual risk prediction and for informing courses of treatment. Such predictive knowledge is often of great utility to physicians, counsellors, health education specialists, policymakers or other professionals, who may then advice course correction or interventions to prevent adverse health outcomes from occurring. In this manuscript, we use an example dataset that documents farm vehicle crashes and conventional statistical methods to forecast the risk of an injury or death in a farm vehicle crash for a specific individual or a scenario.

Results

Using data from 7094 farm crashes that occurred between 2005 and 2010 in nine mid-western states, we demonstrate and discuss predictive model fitting approaches, model validation techniques using external datasets, and the calculation and interpretation of predicted probabilities. We then developed two automated risk prediction tools using readily available software packages. We discuss best practices and common limitations associated with predictive models built from observational datasets.

Conclusions

Predictive analysis offers tools that could aid the decision making of policymakers, physicians, and environmental health practitioners to improve public health.

Who Hurts More? A Multicenter Prospective Study of In-Hospital Opioid Use in Pediatric Trauma Patients in the Midwest

BACKGROUND

Despite increased national attention on misuse of prescription and nonprescription opioids for adolescents and children, little is known about opioid use in a pediatric population during hospitalization for injury. The purpose of this investigation is to describe opioid administration and magnitude of opioid exposure in the first 48 hours of hospitalization in a pediatric trauma population.

STUDY DESIGN

This is a secondary analysis of data collected for a randomized, prospective intervention study at 4 Midwestern children's trauma centers. Participants included children ages 10 to 17 years old, admitted to the hospital for unintentional injury. Descriptive statistics and multivariable modeling were used to characterize demographic factors and measure prevalence and magnitude of opioid use within the first 48 hours of hospitalization.

RESULTS

Among 299 participants, 82% received at least 1 opioid administration. Children had increased odds of receiving an opioid (odds ratio [OR] 4.25; 95% CI 2.16 to 8.35) for every log increase of Injury Severity Scores (ISS), yet the majority of children with minor injury (61%) also received an opioid. Children with fractures and older children had higher odds of receiving an opioid. Amount of opioid, expressed as morphine milligrams equivalent (MME), significantly increased with child age, ISS, and fracture.

CONCLUSIONS

Most pediatric trauma patients received an opioid in the first 48 hours of hospitalization, although prevalence and exposure varied by age, injury, and acuity. Aggressive pain management can be appropriate for injured pediatric patients; however, study results indicate areas for improvement, specifically for children with minor injuries and those receiving excessive opioid amounts.

Link for Schools: A System to Prevent Trauma and Its Adverse Impacts

School-age children experience trauma at alarming rates. Children's ability to attend, concentrate, and participate in the educational process can be adversely impacted by trauma. How can school staff, especially school nurses, best listen, support, and encourage a student with trauma in their lives? Link for Schools is an evidence-informed intervention program that provides information and training for school staff. Link provides tools for listening or responding to a traumatized student with a focus on the principles of trauma-informed care, psychological first aid, and elements of motivational interviewing. Link-trained staff are better equipped to develop a relationship with a student, but future research is recommended to supports its evidence base.

Consistency and Variation in School-Level Youth Sports Traumatic Brain Injury Policy Content

PURPOSE

The purpose of the study was to examine the consistency and variation in content of high school written traumatic brain injury (TBI) policies in relation to the three key tenets of youth sports TBI laws.

METHODS

A content analysis was conducted on written TBI policies retrieved from 71 high schools currently participating in High School Reporting Information Online. Each policy was independently analyzed by two trained coders. The number and percent of the policies reflecting the three key tenets of state youth sports TBI laws were described and compared on policy enforcement (i.e., strictness of language), policy description (i.e., details and definitions of the requirements), and policy implementation steps (i.e., specific steps for implementing the requirements). Direct quotes were identified to support quantitative findings.

RESULTS

All 71 high school TBI policies contained at least two of the three main TBI law tenets, where 98.6% (n = 70) included the return to play tenet, 83.1% (n = 59) included the removal from play tenet, and 59.2% (n = 42) specified the distribution of TBI information sheets to student-athletes and their parents. Nearly half of the policies (49.3%, n = 35) required parents' signature while only 39.4% (n = 28) required students' signature on the TBI information sheet. The language exhibited wide variance across the 71 TBI policies regarding policy enforcement, policy description, and policy implementation specifications.

CONCLUSIONS

All 71 TBI policies covered at least two of the three youth sports TBI law tenets, but with considerable variation. Future research should assess variations by schools within the same state and their impact on TBI rates in school athletics.

Anti-bullying Policies and Disparities in Bullying: A State-Level Analysis

INTRODUCTION

Recent research suggests that anti-bullying laws may be effective in reducing risk of bullying victimization among youth, but no research has determined whether these laws are also effective in reducing disparities in bullying. The aim of this paper was to evaluate the effectiveness of anti-bullying legislation in reducing disparities in sex- and weight-based bullying and cyberbullying victimization.

METHODS

Data on anti-bullying legislation were obtained from the U.S. Department of Education, which commissioned a systematic review of 16 key components of state laws in 2011. States were also categorized based on whether their legislation enumerated protected groups and, if so, which groups were enumerated. These policy variables from 28 states were linked to individual-level data on bullying and cyberbullying victimization from students in 9th through 12th grade participating in the 2011 Youth Risk Behavior Surveillance System study (N=79,577). Analyses were conducted in 2016.

RESULTS

There was an absence of any kind of moderating effect of anti-bullying legislation on weight-based disparities in bullying and cyberbullying victimization. Only state laws with high compliance to Department of Education enumeration guidelines were associated with lower sex-based disparities in bullying victimization.

CONCLUSIONS

Anti-bullying policies were not associated with lower weight-based disparities in bullying and cyberbullying victimization among youth, and only one form of policies (high compliance to Department of Education enumeration guidelines) was associated with lower sex-based disparities in bullying victimization. Results therefore suggest that anti-bullying legislation requires further refinement to protect youth who are vulnerable to bullying victimization.

Modeling Likert scale outcomes with trend-proportional odds with and without cluster data

Likert scales are commonly used in epidemiological studies employing surveys. In this tutorial we demonstrate how the proportional odds model and the trend odds model can be applied simultaneously to data measured in Likert scales, allowing for random cluster effects. We use two datasets as examples: an epidemiological study on aging and cognition among community-dwelling Black persons, and a clustered large survey data from 28,882 students in 81 middle schools. The first example models the Likert outcome from the question: "People act as if they think you are dishonest". The trend-proportional odds model indicates that Black men have higher odds than Black women of reporting being perceived dishonest. The second example models the Likert outcome from the question: "How often have you been beaten up at school?". The trend-proportional odds model indicates that children with disability have a higher odds of severe violence than other children. For both examples, the cumulative odds ratio increases by more than 60% at the higher Likert levels.

Associations Between Antibullying Policies and Bullying in 25 States

IMPORTANCE

Bullying is the most widespread form of peer aggression in schools. In an effort to address school bullying, 49 states have passed antibullying statutes. Despite the ubiquity of these policies, there has been limited empirical examination of their effectiveness in reducing students' risk of being bullied.

OBJECTIVE

To evaluate the effectiveness of antibullying legislation in reducing students' risk of being bullied and cyberbullied, using data from 25 states in the United States.

DESIGN, SETTING, AND PARTICIPANTS

A cross-sectional observational study was conducted using a population-based survey of 63 635 adolescents in grades 9 to 12 from 25 states participating in the 2011 Youth Risk Behavior Surveillance System study (September 2010-December 2011). Data on antibullying legislation were obtained from the US Department of Education (DOE), which commissioned a systematic review of state laws in 2011. The report identified 16 key components that were divided into the following 4 broad categories: purpose and definition of the law, district policy development and review, school district policy components (eg, responsibilities for reporting bullying incidents), and additional components (eg, how policies are communicated). Policy variables from 25 states were linked to individual-level data from the Youth Risk Behavior Surveillance System on experiencing bullying and cyberbullying. Analyses were conducted between March 1, 2014, and December 1, 2014.

EXPOSURE

State antibullying legislation.

MAIN OUTCOMES AND MEASURES

Exposure to bullying and cyberbullying in the past 12 months.

RESULTS

There was substantial variation in the rates of bullying and cyberbullying across states. After controlling for relevant state-level confounders, students in states with at least 1 DOE legislative component in the antibullying law had a 24% (95% CI, 15%-32%) reduced odds of reporting bullying and 20% (95% CI, 9%-29%) reduced odds of reporting cyberbullying compared with students in states whose laws had no DOE legislative components. Three individual components of antibullying legislation were consistently associated with decreased odds of exposure to both bullying and cyberbullying: statement of scope, description of prohibited behaviors, and requirements for school districts to develop and implement local policies.

CONCLUSIONS AND RELEVANCE

Antibullying policies may represent effective intervention strategies for reducing students' risk of being bullied and cyberbullied in schools.

Increased risk of alcohol and drug use among children from deployed military families

AIMS

To examine the association between military deployment of a parent and use of alcohol and drugs among children of deployed military personnel.

DESIGN

Observational and cross-sectional study.

SETTING

Data from the USA 2010 Iowa Youth Survey, a statewide survey of 6th, 8th and 11th graders, were analyzed during 2011.

PARTICIPANTS

Of all 6th-, 8th- and 11th-grade students enrolled in Iowa in 2010, 69% (n = 78 240) completed the survey.

MEASUREMENTS

Ever drink more than a few sips of alcohol and past 30-day: binge drinking, marijuana consumption, other illegal drug use and prescription drug misuse.

FINDINGS

The rates of alcohol use [risk difference (RD) = 7.85, 99.91% confidence interval (CI) = 4.44-11.26], binge drinking (RD = 8.02, 99.91% CI = 4.91-11.13), marijuana use (RD = 5.30, 99.91% CI = 2.83-7.77), other illegal drug use (RD = 7.10, 99.91% CI = 4.63-9.56) and prescription drug misuse (RD = 8.58, 99.91% CI = 5.64-11.51) are greater for children of currently or recently deployed parents than for children of parents who are not in the military. The magnitude of the effects is consistent across 6th, 8th and 11th grades. Disrupted living arrangements further accentuate increased substance use, with the largest effect seen in children with a deployed parent who was not living with a parent or relative.

CONCLUSIONS

Children of deployed military personnel should be considered at higher risk for substance use than children of non-military citizens.

Participation of hippocampal nicotinic receptors in acquisition, consolidation and retrieval of memory for one trial inhibitory avoidance in rats

One-trial step-down inhibitory avoidance in rats involves the activation of two separate memory types, a short-term system (STM) that lasts 3-6 h, and a long-term system (LTM) that takes 3-6 h to be formed and lasts for many days or even months. Here we investigate the effect of nicotinic receptor (nAChR) ligands infused bilaterally in the hippocampus on STM and LTM formation and on LTM retrieval of this task. Rats were implanted with chronic cannulae in the CA1 region of the dorsal hippocampus, trained using a 0.5 mA foot shock, and tested twice, first 1.5 h after training to measure STM, and again at 24 h to measure LTM. The drugs used were the nAChR antagonists, mecamylamine (1, 3 and 10 microg/side) and dihydro-beta-erythroidine (DHbetaE; 2, 6 and 18 microg/side) and the agonist, nicotine (0.6, 1 and 3 microg/side). They were given either 15 min before training, immediately after training or 15 min prior to LTM retrieval. Mecamylamine and DHbetaE impaired and nicotine enhanced STM, LTM and retrieval similarly. The results indicate that nAChRs in CA1 participate in the regulation of both STM and LTM formation, and on the retrieval of LTM.

GIS mapping of earthquake-related deaths and hospital admissions from the 1994 Northridge, California, Earthquake

PURPOSE

Earthquakes pose a persistent but unpredictable health threat. Although knowledge of geologic earthquake hazards for buildings has increased, spatial relations between injuries and seismic activity have not been explained.

METHODS

Fatal and hospital-admitted earthquake injuries due to the 1994 Northridge Earthquake were identified. Geographical Information Systems software was used to map all injury locations. Injuries were analyzed with regard to distance from the earthquake epicenter, the Modified Mercalli Intensity Index, peak ground acceleration, and proportion of damaged residential buildings.

RESULTS

Injury severity was inversely related to distance from the epicenter and increased with increasing ground motion and building damage. However, injury incidence and severity were not completely predicted by seismic hazard and building damage, and injuries of all severities occurred in a large geographic area. Average distance to the epicenter was smallest for injuries related to falling building parts and largest for cutting/piercing injuries and falls.

CONCLUSIONS

The injuries from the Northridge Earthquake extended beyond the areas of highest environmental activity. Factors such as age and activity during the earthquake may be equally important in predicting injury from earthquakes as seismic features.