ProblemHealth-risk behaviors contribute to the leading causes of morbidity and mortality among youth and adults in the United States. In addition, significant health disparities exist among demographic subgroups of youth defined by sex, race/ethnicity, and grade in school and between sexual minority and nonsexual minority youth. Population-based data on the most important health-related behaviors at the national, state, and local levels can be used to help monitor the effectiveness of public health interventions designed to protect and promote the health of youth at the national, state, and local levels.Reporting Period CoveredSeptember 2016–December 2017.Description of the SystemThe Youth Risk Behavior Surveillance System (YRBSS) monitors six categories of priority health-related behaviors among youth and young adults: 1) behaviors that contribute to unintentional injuries and violence; 2) tobacco use; 3) alcohol and other drug use; 4) sexual behaviors related to unintended pregnancy and sexually transmitted infections (STIs), including human immunodeficiency virus (HIV) infection; 5) unhealthy dietary behaviors; and 6) physical inactivity. In addition, YRBSS monitors the prevalence of other health-related behaviors, obesity, and asthma. YRBSS includes a national school-based Youth Risk Behavior Survey (YRBS) conducted by CDC and state and large urban school district school-based YRBSs conducted by state and local education and health agencies. Starting with the 2015 YRBSS cycle, a question to ascertain sexual identity and a question to ascertain sex of sexual contacts were added to the national YRBS questionnaire and to the standard YRBS questionnaire used by the states and large urban school districts as a starting point for their questionnaires. This report summarizes results from the 2017 national YRBS for 121 health-related behaviors and for obesity, overweight, and asthma by demographic subgroups defined by sex, race/ethnicity, and grade in school and by sexual minority status; updates the numbers of sexual minority students nationwide; and describes overall trends in health-related behaviors during 1991–2017. This reports also summarizes results from 39 state and 21 large urban school district surveys with weighted data for the 2017 YRBSS cycle by sex and sexual minority status (where available).ResultsResults from the 2017 national YRBS indicated that many high school students are engaged in health-risk behaviors associated with the leading causes of death among persons aged 10–24 years in the United States. During the 30 days before the survey, 39.2% of high school students nationwide (among the 62.8% who drove a car or other vehicle during the 30 days before the survey) had texted or e-mailed while driving, 29.8% reported current alcohol use, and 19.8% reported current marijuana use. In addition, 14.0% of students had taken prescription pain medicine without a doctor’s prescription or differently than how a doctor told them to use it one or more times during their life. During the 12 months before the ...
Background Research has underscored the need to develop socioculturally tailored interventions to improve adherence behaviors in minority patients with hypertension (HTN) and type 2 diabetes (T2D). Novel mobile health (mHealth) approaches are potential methods for delivering tailored interventions to minority patients with increased cardiovascular risk. Objective This study aims to develop and evaluate the acceptability and preliminary efficacy of a tailored mHealth adherence intervention versus attention control (AC) on medication adherence, systolic blood pressure (SBP), diastolic blood pressure (DBP), and hemoglobin A1c (HbA1c) at 3 months in 42 Black patients with uncontrolled HTN and/or T2D who were initially nonadherent to their medications. Methods This was a two-phase pilot study consisting of a formative phase and a clinical efficacy phase. The formative phase consisted of qualitative interviews with 10 members of the target patient population (7/10, 70% female; mean age 65.8 years, SD 5.6) to tailor the intervention based on the Information-Motivation-Behavioral skills model of adherence. The clinical efficacy phase consisted of a 3-month pilot randomized controlled trial to evaluate the tailored mHealth intervention versus an AC. The tablet-delivered intervention included a tailoring survey, an individualized adherence profile, and a personalized list of interactive adherence-promoting modules, whereas AC included the tailoring survey and health education videos delivered on the tablet. Acceptability was assessed through semistructured exit interviews. Medication adherence was assessed using the 8-item Morisky Medication Adherence Scale, whereas blood pressure and HbA1c were assessed using automated devices. Results In phase 1, thematic analysis of the semistructured interviews revealed the following 5 major barriers to adherence: disruptions in daily routine, forgetfulness, concerns about adverse effects, preference for natural remedies, and burdens of medication taking. Patients recommended the inclusion of modules that address improving patient-provider communication, peer vignettes, and stress reduction strategies to facilitate adherence. A total of 42 Black patients (23/42, 55% male; mean age 57.6 years, SD 11.1) participated in the clinical efficacy pilot trial. At 3 months, both groups showed significant improvements in adherence (mean 1.35, SD 1.60; P<.001) and SBP (−4.76 mm Hg; P=.04) with no between-group differences (P=.50 and P=.10). The decreases in DBP and HbA1c over time were nonsignificant (−1.97 mm Hg; P=.20; and −0.2%; P=.45, respectively). Patients reported high acceptability of the intervention for improving their adherence. Conclusions This pilot study demonstrated preliminary evidence on the acceptability of a tailored mHealth adherence intervention among a sample of Black patients with uncontrolled HTN and T2D who were initially nonadherent to their medications. Future research should explore whether repeated opportunities to use the mHealth intervention would result in improvements in behavioral and clinical outcomes over time. Modifications to the intervention as a result of the pilot study should guide future efforts. Trial Registration ClinicalTrials.gov NCT01643473; http://clinicaltrials.gov/ct2/show/ NCT01643473
Although many siblings show resilience in the face of childhood cancer, others report clinical levels of distress during and after cancer treatment. Psychosocial care is recommended for siblings, but systematic screening to identify siblings currently experiencing or at-risk for psychosocial difficulties is not routine. As part of a program of research to develop feasible procedures for sibling screening, the current study used qualitative methods to gather the perspectives of parents and siblings regarding barriers to sibling psychosocial screening, ways to mitigate those barriers, and preferred screening procedures. A purposive sample of families of children with cancer (n ϭ 29 parents, n ϭ 17 siblings ages 8 -17) participated in semistructured qualitative interviews. Barriers to and preferences for sibling screening (e.g., timing, location, modality) were probed. Applied thematic analysis was used to distill findings. Families reported a strong need for sibling psychosocial screening but also reported barriers (i.e., family disruptions and separations, parental stress, and hesitancy to disclose emotional difficulties by both siblings and parents). Recommendations for addressing these barriers were provided. Sibling screening was preferred near diagnosis and every three months thereafter. Parent and sibling reports were both recommended. Preferred modalities included electronic questionnaire delivered in the hospital/clinic (parents) and clinical interview (siblings). In sum, families emphasized the importance of sibling psychosocial screening and suggested ways to achieve this. Involving families in the development of procedures to systematically screen siblings of children with cancer for psychosocial difficulties is an important step in developing feasible, effective strategies to identify siblings in need of clinical care.
Early initiation of influenza antiviral treatment to pregnant women hospitalized with influenza may reduce the length of stay, especially among those with severe influenza. Influenza during pregnancy is associated with maternal and infant morbidity, and annual influenza vaccination is warranted.
Traumatic event checklists typically ask respondents to indicate whether they have experienced particular types of potentially traumatic events (PTEs) and then sum these endorsements to gauge cumulative trauma exposure. However, the sum of these endorsements indicates the variety of PTEs respondents have experienced rather than the count of exposure events. The main objective of the present study was to explore the association between PTE count and variety to examine assumptions regarding the use of traumatic event checklists to measure cumulative trauma exposure. The limited empirical research suggests that count and variety are strongly associated; however, there may be variation in magnitude concerning whether participants' environments confer an increased or decreased risk of exposure. We present Life Event Checklist data from a large sample of Mexican and U.S. participants (n = 1,820), which allowed us to compare reports of count and variety. Count and variety were strongly correlated, Kendall's tau-b = .74, such that count accounted for 54.6% of the variance in variety. A negative binomial regression analysis revealed that this association was moderated by county and municipio homicide rate, used as a proxy for violent crime, but not by natural disaster history. Variety was more strongly associated with scores on the Posttraumatic Stress Checklist for DSM-5, Kendall's tau-b = .26, than was PTE count, Kendall's tau-b = .22, Fisher's z = −8.04, p < .001. Although there are challenges in estimating PTE counts, the present findings suggest that PTE variety is not a good proxy for cumulative trauma exposure.
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