Disparities in violent fatal injury among racial and ethnic minorities, 2009-2019: a portfolio analysis of United States-National Institutes of Health.

The excess mortality burden due to violent fatal injuries is an urgent public health issue for adolescents and young adults, especially those from racial and ethnic minority populations. We examined the research portfolio of the United States National Institutes of Health (NIH) related to violent fatal injuries between 2009 and 2019 to focus on adolescents and young adults from NIH-designated populations experiencing health disparities and to identify trends and research gaps. We analyzed funded projects by populations covered, geographic location of the study population, type of research (etiology, intervention, methodology), type of determinants, and publications generated. In 10 years, NIH funded 17 grants that produced 90 publications. Researchers used socioecological frameworks most to study violent crime, except in rural locations. Research gaps include the direct impact of violent crime among those victimized and health care (the least studied determinant) and premature mortality disparities caused by hate crimes.

The Economic Burden of Racial, Ethnic, and Educational Health Inequities in the US.

Importance: Health inequities exist for racial and ethnic minorities and persons with lower educational attainment due to differential exposure to economic, social, structural, and environmental health risks and limited access to health care. Objective: To estimate the economic burden of health inequities for racial and ethnic minority populations (American Indian and Alaska Native, Asian, Black, Latino, and Native Hawaiian and Other Pacific Islander) and adults 25 years and older with less than a 4-year college degree in the US. Outcomes include the sum of excess medical care expenditures, lost labor market productivity, and the value of excess premature death (younger than 78 years) by race and ethnicity and the highest level of educational attainment compared with health equity goals. Evidence Review: Analysis of 2016-2019 data from the Medical Expenditure Panel Survey (MEPS) and state-level Behavioral Risk Factor Surveillance System (BRFSS) and 2016-2018 mortality data from the National Vital Statistics System and 2018 IPUMS American Community Survey. There were 87 855 survey respondents to MEPS, 1 792 023 survey respondents to the BRFSS, and 8 416 203 death records from the National Vital Statistics System. Findings: In 2018, the estimated economic burden of racial and ethnic health inequities was $421 billion (using MEPS) or $451 billion (using BRFSS data) and the estimated burden of education-related health inequities was $940 billion (using MEPS) or $978 billion (using BRFSS). Most of the economic burden was attributable to the poor health of the Black population; however, the burden attributable to American Indian or Alaska Native and Native Hawaiian or Other Pacific Islander populations was disproportionately greater than their share of the population. Most of the education-related economic burden was incurred by adults with a high school diploma or General Educational Development equivalency credential. However, adults with less than a high school diploma accounted for a disproportionate share of the burden. Although they make up only 9% of the population, they bore 26% of the costs. Conclusions and Relevance: The economic burden of racial and ethnic and educational health inequities is unacceptably high. Federal, state, and local policy makers should continue to invest resources to develop research, policies, and practices to eliminate health inequities in the US.

Measuring Multimorbidity: Selecting the Right Instrument for the Purpose and the Data Source.

BACKGROUND: Adults have a higher prevalence of multimorbidity-or having multiple chronic health conditions-than having a single condition in isolation. Researchers, health care providers, and health policymakers find it challenging to decide upon the most appropriate assessment tool from the many available multimorbidity measures. OBJECTIVE: The objective of this study was to describe a broad range of instruments and data sources available to assess multimorbidity and offer guidance about selecting appropriate measures. DESIGN: Instruments were reviewed and guidance developed during a special expert workshop sponsored by the National Institutes of Health on September 25-26, 2018. RESULTS: Workshop participants identified 4 common purposes for multimorbidity measurement as well as the advantages and disadvantages of 5 major data sources: medical records/clinical assessments, administrative claims, public health surveys, patient reports, and electronic health records. Participants surveyed 15 instruments and 2 public health data systems and described characteristics of the measures, validity, and other features that inform tool selection. Guidance on instrument selection includes recommendations to match the purpose of multimorbidity measurement to the measurement approach and instrument, review available data sources, and consider contextual and other related constructs to enhance the overall measurement of multimorbidity. CONCLUSIONS: The accuracy of multimorbidity measurement can be enhanced with appropriate measurement selection, combining data sources and special considerations for fully capturing multimorbidity burden in underrepresented racial/ethnic populations, children, individuals with multiple Adverse Childhood Events and older adults experiencing functional limitations, and other geriatric syndromes. The increased availability of comprehensive electronic health record systems offers new opportunities not available through other data sources.

National Institutes of Health Advancing Multimorbidity Research.

BACKGROUND: Multimorbidity, the co-occurrence of 2 or more chronic diseases, is more common than having a single chronic disease, especially among persons age 65 years and older. The routine measurement of multimorbidity can facilitate a better understanding of potential causes and interactions and promote more effective treatment and improved outcomes. OBJECTIVES: To present a multimorbidity research framework and identify gaps in the research literature related to multimorbidity. DESIGN: In preparation for an expert panel workshop convened in September 2018, planning committee members reviewed the literature and developed a guiding framework that informed the selection of topics and speakers. RESULTS: The framework, grounded in a patient-centered approach, incorporates the concept of concordant and discordant comorbidity, and includes potential causes, interactions, and outcomes. This work informed workshop presentations and discussion related to identifying and selecting the best available multimorbidity instruments and determining future research needs. CONCLUSIONS: Multimorbidity research can be advanced by addressing gaps in study design and target populations, and by increasing attention to universal outcome measurement.

Inadequate Data Limit the Analysis of Health Disparities and Causes: A Call for Research on Youth Interpersonal Violence.

Interpersonal violence among racial and ethnic minority youth is of great concern in health disparity research. Child maltreatment (CM), adolescent dating abuse (ADA), sexual abuse, and polyvictimization are key forms of interpersonal violence that require surveillance and national epidemiological data. However, national data systems and published evidence do not depict this health burden for all racial and ethnic populations. Prevalence and incidence rates for American Indians, Eskimo, and Asian youth are absent from most estimates. This commentary provides a brief overview of the gaps in the literature and offers suggestions for addressing these gaps.

NIH Portfolio of Unintentional Injury Research Among Racial and Ethnic Minority Children: Current Landscape and Future Opportunities.

Unintentional injuries (UIs) caused by accidental suffocation, burns, drowning, falls, poisoning, and motor vehicle accidents are the leading causes of morbidity and mortality among children (Dellinger and Gilchrist. Am J Lifestyle Med; 2017). Notable racial and ethnic disparities exist in accidental suffocation among infants and in motor vehicle injuries (MVI) among youth. The purpose of this study is to examine the National Institutes of Health's funded research projects addressing UIs, using a socioecological framework, and to determine whether funded projects align with key priorities for unintentional injuries among racial and ethnic minorities as identified by the research community. Between 2011 and 2018, a total of 130 grants that examined UIs were identified, thirty-four of which focused on UI research among children. Of those 34 grants, eight focused on UIs among racial and ethnic minority children. The analyses suggest four areas of opportunities, where more research is needed to (1) prevent accidental suffocation among American Indians and Alaska Natives; (2) strengthen the role of the health care sector to prevent UIs; (3) promote the use of an integrative multilevel social ecological approach to characterize UIs and help shape interventions; and (4) promote the collection and dissemination of local injury-specific data to develop interventions in community settings. Identifying gaps and opportunities for reducing the health burden of UI among racial and ethnic minorities can inform prevention efforts and guide the development of interventions that target these populations.

The Importance of Evaluating Health Disparities Research.

Health disparity populations are socially disadvantaged, and the multiple levels of discrimination they often experience mean that their characteristics and attributes differ from those of the mainstream. Programs and policies targeted at reducing health disparities or improving minority health must consider these differences. Despite the importance of evaluating health disparities research to produce high-quality data that can guide decision-making, it is not yet a customary practice. Although health disparities evaluations incorporate the same scientific methods as all evaluations, they have unique components such as population characteristics, sociocultural context, and the lack of health disparity common indicators and metrics that must be considered in every phase of the research. This article describes evaluation strategies grouped into 3 components: formative (needs assessments and process), design and methodology (multilevel designs used in real-world settings), and summative (outcomes, impacts, and cost). Each section will describe the standards for each component, discuss the unique health disparity aspects, and provide strategies from the National Institute on Minority Health and Health Disparities Metrics and Measures Visioning Workshop (April 2016) to advance the evaluation of health disparities research.

Behavioral Interventions Using Consumer Information Technology as Tools to Advance Health Equity.

The digital divide related to consumer information technologies (CITs) has diminished, thus increasing the potential to use CITs to overcome barriers of access to health interventions as well as to deliver interventions situated in the context of daily lives. However, the evidence base regarding the use and impact of CIT-enabled interventions in health disparity populations lags behind that for the general population. Literature and case examples are summarized to demonstrate the use of mHealth, telehealth, and social media as behavioral intervention platforms in health disparity populations, identify challenges to achieving their use, describe strategies for overcoming the challenges, and recommend future directions. The evidence base is emerging. However, challenges in design, implementation, and evaluation must be addressed for the promise to be fulfilled. Future directions include (1) improved design methods, (2) enhanced research reporting, (3) advancement of multilevel interventions, (4) rigorous evaluation, (5) efforts to address privacy concerns, and (6) inclusive design and implementation decisions.

Structural Interventions to Reduce and Eliminate Health Disparities.

Health disparities research in the United States over the past 2 decades has yielded considerable progress and contributed to a developing evidence base for interventions that tackle disparities in health status and access to care. However, health disparity interventions have focused primarily on individual and interpersonal factors, which are often limited in their ability to yield sustained improvements. Health disparities emerge and persist through complex mechanisms that include socioeconomic, environmental, and system-level factors. To accelerate the reduction of health disparities and yield enduring health outcomes requires broader approaches that intervene upon these structural determinants. Although an increasing number of innovative programs and policies have been deployed to address structural determinants, few explicitly focused on their impact on minority health and health disparities. Rigorously evaluated, evidence-based structural interventions are needed to address multilevel structural determinants that systemically lead to and perpetuate social and health inequities. This article highlights examples of structural interventions that have yielded health benefits, discusses challenges and opportunities for accelerating improvements in minority health, and proposes recommendations to foster the development of structural interventions likely to advance health disparities research.

Building the Evidence Base to Inform Planned Intervention Adaptations by Practitioners Serving Health Disparity Populations.

Many evidence-based interventions (EBIs) have been developed to prevent or treat major health conditions. However, many EBIs have exhibited limited adoption, reach, and sustainability when implemented in diverse community settings. This limitation is especially pronounced in low-resource settings that serve health disparity populations. Often, practitioners identify problems with existing EBIs originally developed and tested with populations different from their target population and introduce needed adaptations to make the intervention more suitable. Although some EBIs have been extensively adapted for diverse populations and evaluated, most local adaptations to improve fit for health disparity populations are not well documented or evaluated. As a result, empirical evidence is often lacking regarding the potential effectiveness of specific adaptations practitioners may be considering. We advocate an expansion in the emphasis of adaptation research from researcher-led interventions to research that informs practitioner-led adaptations. By presenting a research vision and strategies needed to build this area of science, we aim to inform research that facilitates successful adaptation and equitable implementation and delivery of EBIs that reduce health disparities.

Designing and Assessing Multilevel Interventions to Improve Minority Health and Reduce Health Disparities.

Multilevel interventions can be uniquely effective at addressing minority health and health disparities, but they pose substantial methodological, data analytic, and assessment challenges that must be considered when designing and applying interventions and assessment. To facilitate the adoption of multilevel interventions to reduce health disparities, we outline areas of need in filling existing operational challenges to the design and assessment of multilevel interventions. We discuss areas of development that address overarching constructs inherent in multilevel interventions, with a particular focus on their application to minority health and health disparities. Our approach will prove useful to researchers, as it allows them to integrate information related to health disparities research into the framework of broader constructs with which they are familiar. We urge researchers to prioritize building transdisciplinary teams and the skills needed to overcome the challenges in designing and assessing multilevel interventions, as even small contributions can accelerate progress toward improving minority health and reducing health disparities. To make substantial progress, however, a concerted and strategic effort, including work to advance analytic techniques and measures, is needed.

Stigma, Obesity and Adolescent Risk Behaviors: Current Research and Future Directions.

Adolescents are particularly vulnerable to risk behaviors as, in this life stage, they are experiencing intense physical, psychological and social changes. Adolescents who are overweight/obese, but particularly those who perceive themselves as such, are more likely to engage in risk behaviors than those who are or perceive themselves of normal-weight. Weight stigma and discrimination may contribute to this association as they reinforce poor body image and create intense stress. Stress is associated with poor emotion regulation, more impulsive, contextually-determined, and less rational decision-making, leading to greater engagement in risk behaviors. However, pathways from weight stigma/discrimination to risk behavior may be moderated by adolescents' social networks. This review provides a conceptual model and empirical evidence to illustrate the proposed pathways from weight stigma and discrimination to risk behaviors. Public health implications and future research directions are also discussed.

Weight, Weight Perceptions, and Health-Related Quality of Life Among a National Sample of US Girls.

OBJECTIVE: To examine associations between 3 weight indices (weight status, perceived weight, and weight status perception accuracy) and heath-related quality of life (HRQOL). METHODS: Data are for girls in the 2009 Health Behaviors in School-Age Children survey, a nationally representative sample of students in Grades 5 to 10 during the 2009/2010 school year (n = 5018). Controlling for sociodemographics, multivariate linear regressions examined associations between self-reported weight status (underweight/normal/overweight/obese), perceived weight (how children categorize their weight), weight status perception accuracy (underestimate/accurate perception/overestimate), and dimensions of HRQOL, including physical, emotional, social, and school functioning. RESULTS: Although obesity was only associated with poor physical and emotional HRQOL, perceptions of being overweight were associated with worse physical, emotional, school, and social HRQOL. Furthermore, girls who overestimated their weight reported poorer HRQOL than those with accurate weight perceptions. Associations of perceptions of being overweight and weight status overestimation with poor HRQOL despite, in most instances, the absence of associations between weight status and HRQOL suggest that weight status perceptions may not merely be a mediator of a weight status-HRQOL association but a significant independent correlate of poor HRQOL. CONCLUSION: These findings raise the issue of whether there is a need to prioritize intervention efforts to promote better HRQOL by redefining the population of girls most at risk. Parents, teachers, and clinicians should be aware that, rather than overweight status, perceptions of being overweight (accurately or not) are associated with a poor HRQOL among girls. Future research should examine the potential negative effect of using specific body image terminologies on adolescents' psychological health.

Decreases in adolescent weekly alcohol use in Europe and North America: evidence from 28 countries from 2002 to 2010.

BACKGROUND: This study examined trends in adolescent weekly alcohol use between 2002 and 2010 in 28 European and North American countries. METHODS: Analyses were based on data from 11-, 13- and 15-year-old adolescents who participated in the Health Behaviour in School-Aged Children (HBSC) study in 2002, 2006 and 2010. RESULTS: Weekly alcohol use declined in 20 of 28 countries and in all geographic regions, from 12.1 to 6.1% in Anglo-Saxon countries, 11.4 to 7.8% in Western Europe, 9.3 to 4.1% in Northern Europe and 16.3 to 9.9% in Southern Europe. Even in Eastern Europe, where a stable trend was observed between 2002 and 2006, weekly alcohol use declined between 2006 and 2010 from 12.3 to 10.1%. The decline was evident in all gender and age subgroups. CONCLUSIONS: These consistent trends may be attributable to increased awareness of the harmful effects of alcohol for adolescent development and the implementation of associated prevention efforts, or changes in social norms and conditions. Although the declining trend was remarkably similar across countries, prevalence rates still differed considerably across countries.

Weight perceptions, misperceptions, and dating violence victimization among U.S. adolescents.

Dating violence is a major public health issue among youth. Overweight/obese adolescents experience peer victimization and discrimination and may be at increased risk of dating violence victimization. Furthermore, given the stigma associated with overweight/obesity, perceptions and misperceptions of overweight may be more important than actual weight status for dating violence victimization. This study examines the association of three weight indices (weight status, perceived weight, and weight perception accuracy) with psychological and physical dating violence victimization. The 2010 baseline survey of the 7-year NEXT Generation Health Study used a three-stage stratified clustered sampling design to select a nationally representative sample of U.S. 10th-grade students (n = 1,983). Participants who have had a boyfriend/girlfriend reported dating violence victimization and perceived weight. Weight status was computed from measured height/weight. Weight perception accuracy (accurate/underestimate/overestimate) was calculated by comparing weight status and perceived weight. Gender-stratified regressions examined the association of weight indices and dating violence victimization. Racial/ethnic differences were also examined. The association of weight indices with dating violence victimization significantly differed by gender. Overall, among boys, no associations were observed. Among girls, weight status was not associated with dating violence victimization, nor with number of dating violence victimization acts; however, perceived weight and weight perception accuracy were significantly associated with dating violence victimization, type of victimization, and number of victimization acts. Post hoc analyses revealed significant racial/ethnic differences. White girls who perceive themselves (accurately or not) to be overweight, and Hispanic girls who are overweight, may be at increased risk of dating violence victimization. These findings suggest a targeted approach to dating violence victimization prevention.

Macro-level age norms for the timing of sexual initiation and adolescents' early sexual initiation in 17 European countries.

PURPOSE: To examine the relationship between country-level age norms for sexual initiation timing and early sexual initiation (ESI) among adolescent boys and girls. METHODS: Nationally representative data from 17 countries that participated in the 2006/2007 European Social Survey (ESS-3, n = 33,092) and the 2005/2006 Health Behaviour in School-Aged Children Study (HBSC, n = 27,702) were analyzed. Age norms were measured as the average country-level response to an item asking the age at which ESS respondents believed someone is too young to have sexual intercourse. HBSC respondents (aged 14-16 years) self-reported age at sexual initiation, which we defined as early (<15 years) or not early (≥15 years or no initiation). Control variables included age, family affluence, perceived socioeconomic status, family living arrangement, substance use, school attachment, and country-level legal age of consent. Multivariable three-level logistic models with random intercepts were run separately by sex. RESULTS: In multivariable analyses, higher overall age norms were associated with reduced likelihood of ESI among girls (AOR .60, 95% CI .45-.79); associations with ESI were stronger for parent cohort (ages 31-65 years) norms (AOR .37, 95% CI .23-.58) than for peer cohort (ages 15-20 years) norms (AOR .60, 95% CI .49-.74). For boys, overall norms were also significantly negatively associated with ESI (AOR .68, 95% CI .46-.99), as were parent cohort norms (AOR .66, 95% CI .45-.96). Peer cohort norms were not significantly related to boys' ESI. CONCLUSION: Macrolevel cultural norms may impact adolescents' sexual initiation timing. Research exploring the sexual health outcomes of early initiators in countries with contrasting age norms is warranted.

Adolescent overweight, obesity and chronic disease-related health practices: mediation by body image.

BACKGROUND/AIMS: To examine whether body image mediates the association between overweight/obesity and chronic disease-related health practices (CDRHP), including lack of physical activity (PA), infrequent breakfast consumption (IBC), screen-based media use (SBM), and smoking. METHODS: The 2006 Health Behaviors in School-Age Children survey was administered to a nationally representative sample of US students (n = 8,028) in grades 6-10 (mean age = 14.3 years). Outcome variables included self-reported measures of PA, SBM, IBC, and smoking. Body image was assessed with 5 items from the Body Investment Scale (α = 0.87) asking for agreement/disagreement with statements about one's body. Stratifying on gender, an initial regression model estimated the association between overweight/obesity and CDRHP. Mediation models that included body image were then compared to the initial model to determine the role of body image in the relationship between overweight/obesity and CDRHP. RESULTS: Among boys, body image mediated the relationships of overweight/obesity with SBM, and of obesity with IBC. Among girls, it mediated the relationships of obesity with PA, IBC, and smoking, and of overweight with SBM. CONCLUSION: As the prevalence of overweight/obesity among adolescent boys and girls remains high, efforts to improve their body image could result in less frequent engagement in CDRHP.

Trends in Substance Use Among 6th- to 10th-Grade Students From 1998 to 2010: Findings From a National Probability Study.

Of the handful of national studies tracking trends in adolescent substance use in the United States, only the Health Behavior in School-Aged Children (HBSC) study collects data from 6th through 10th graders. The purpose of this study was to examine trends from 1998 to 2010 (four time points) in the prevalence of tobacco, alcohol, and marijuana use among 6th through 10th graders. Differences in trends by grade, gender, and race/ethnicity were examined for each substance use behavior, with a primary focus on trends for sixth and seventh graders. Overall, there were significant declines in tobacco, alcohol, and marijuana use from 1998 to 2010. The declines were largest for the younger grades, which suggest promise for future declines among high school students as these cohorts age into high school.