BackgroundThe proportion of people in the United States who are members of at least two ethnic groups is projected to increase to 10% by the year 2050. This makes addressing health disparities and health inequities in minority populations increasingly more difficult. Minority populations, including those who classify themselves as African American and Hispanic, are using mobile phones to access health information via the internet more frequently than those who classify themselves as white, providing unique opportunities for those in public health and health education to reach these traditionally underserved populations using mobile health (mHealth) interventions.ObjectiveThe objective of this review was to assess studies conducted in the United States that have used mHealth tools and strategies to develop and implement interventions in underserved populations. This review also examines the ways in which mHealth strategies are being employed in public health interventions to these priority population groups, as mobile phone capabilities include text messaging, mobile apps, internet access, emails, video streaming, social media, instant messaging, and more.MethodsA systematic literature review was conducted using key search phrases, the matrix method, and Preferred Reporting Items for Systematic Reviews and Meta-Analyses flowchart diagram to identify key studies conducted between the years of 2009-2016 in the United States. These studies were reviewed for their use of mHealth interventions in historically underserved and minority populations.ResultsA total of 16,270 articles were initially identified using key search phrases in three databases. Titles were reviewed and articles not meeting criteria were excluded, leaving 156 articles for further review. After additional review for relevance and inclusion criteria, 16 articles were qualified and analyzed.ConclusionsmHealth is a promising area of development for public health and health education. While successful research has been done using text messaging (short message service, SMS) and other mHealth strategies, there is a need for more research using mobile phones and tablet applications. This literature review demonstrates mHealth technology has the ability to increase prevention and health education in health disparate communities and concludes that more specified research is needed.

Institutional decisions for implementing meaningful use requirements can align with goals of adolescent health. Patient portals can enhance adolescent health care quality and adolescents readily use a confidential portal. Implementation of meaningful use requirements should be checked against adolescent health care needs to maximize confidentiality and promote health communication.

Despite evidence that over 40% of youth in the United States have one or more adverse childhood experiences (ACEs), and that ACEs have cumulative, pernicious effects on lifelong health, few primary care clinicians routinely ask about ACEs. Lack of standardized and accurate clinical assessments for ACEs, combined with no point-of-care biomarkers of the "toxic stress" caused by ACEs, hampers prevention of the health consequences of ACEs. Thus, there is no consensus regarding how to identify, screen, and track ACEs, and whether early identification of toxic stress can prevent disease. In this review, we aim to clarify why, for whom, when, and how to identify ACEs in pediatric clinical care. To do so, we examine the evidence for such identification; describe the efficacy and accuracy of potential screening instruments; discuss current trends in, and potential barriers to, the identification of ACEs and the prevention of downstream effects; and recommend next steps for research, practice, and policy.

A progressive, treadmill-based VO 2max is the gold standard of cardiorespiratory fitness determination but is rarely used in pediatric clinics due to time requirements and cost. Simpler and shorter fitness tests such as the Squat Test or Step Test may be feasible and clinically useful alternatives. However, performance comparisons of these tests to treadmill VO 2max tests are lacking. The primary aim of this cross-sectional study was to assess the correlation between Squat and Step Test scores and VO 2max in a pediatric population. As secondary outcomes, we calculated correlations between Rated Perceived Exertion Scale (RPE) scores, NIH PROMIS Physical Activity scores, and BMI z-score with VO 2max , and we also evaluated the ability of each fitness test to discriminate low and high-risk patients based on the FITNESSGram. Forty children aged 10-17 completed these simple cardiorespiratory fitness tests. Statistically significant correlations were observed between VO 2max and the Step Test (r =-0.549) and Squat Test (r =-0.429) scores, as well as participant BMI z-score (r =-0.458). RPE and PROMIS scores were not observed to be correlated with VO 2max. Area Under the Receiver Operator Curve was relatively high for BMI z-scores and the Step Test (AUC = 0.813, 0.713 respectively), and lower for the Squat Test (AUC = 0.610) in discriminating risk according to FITNESSGram Scores. In this sample, the Step Test performed best overall. These tests were safe, feasible, and may add great value in assessing cardiorespiratory fitness in a clinical setting.