ObjectiveTo assess the availability and quality of population size estimations of female sex workers (FSW), men who have sex with men (MSM), people who inject drug (PWID) and transgender women.MethodsSize estimation data since 2010 were retrieved from global reporting databases, Global Fund grant application documents, and the peer-reviewed and grey literature. Overall quality and availability were assessed against a defined set of criteria, including estimation methods, geographic coverage, and extrapolation approaches. Estimates were compositely categorized into ‘nationally adequate’, ‘nationally inadequate but locally adequate’, ‘documented but inadequate methods’, ‘undocumented or untimely’ and ‘no data.’FindingsOf 140 countries assessed, 41 did not report any estimates since 2010. Among 99 countries with at least one estimate, 38 were categorized as having nationally adequate estimates and 30 as having nationally inadequate but locally adequate estimates. Multiplier, capture-recapture, census and enumeration, and programmatic mapping were the most commonly used methods. Most countries relied on only one estimate for a given population while about half of all reports included national estimates. A variety of approaches were applied to extrapolate from sites-level numbers to national estimates in two-thirds of countries.ConclusionsSize estimates for FSW, MSM, PWID and transgender women are increasingly available but quality varies widely. The different approaches present challenges for data use in design, implementation and evaluation of programs for these populations in half of the countries assessed. Guidance should be further developed to recommend: a) applying multiple estimation methods; b) estimating size for a minimum number of sites; and, c) documenting extrapolation approaches.

Objectives: Smartphone applications (''apps'') can be used to promote health behavior change and expand the reach of behavioral interventions. To date, only a few existing apps have been developed for health promotion among adolescent survivors of childhood cancer. To address this gap, we developed an app-based intervention, using game design characteristics, theory-based behavioral strategies, and assistance from a health coach to motivate health behavior change for adolescent survivors of childhood cancer. This article describes the development and initial feasibility evaluation of the intervention. Methods: Using a theoretical framework and an extensive formative process, we developed an app-based game (''Mila Blooms'') that promotes healthy eating and physical activity among adolescent survivors of childhood cancer. A single-arm 8-week intervention, using this app-based game, with assistance from a health coach, was conducted among a sample of pediatric cancer survivors (n = 15) to evaluate its initial feasibility for promoting health behavior change. Results: Results from the feasibility evaluation were encouraging. The majority of enrolled participants were retained throughout the 8-week intervention (93.8%). Participant satisfaction feedback indicated positive experiences, related to ease of use and enjoyment of the app. Although there was little evidence for behavior change attributable to the app in this first stage of development, there was a solid demonstration of the viability and appeal of the game features, and there were no adverse side effects. Conclusions: Results provide insights into how gamification can be used to promote health behaviors through an app-based intervention. Mila Blooms holds promise for promoting health behavior change. Lessons learned from our experiences could be useful for the future development and implementation of app-based adolescent health interventions.

This cohort study examines trends in concurrent gabapentin and opioid prescribing in the US, overall and by prescriber, patient, and county characteristics, between 2006 and 2018.

This study examines pre-pregnancy Body Mass Index (BMI) and gestational weight gain (GWG) in relation to early childhood Attention Deficit Hyperactivity Disorder (ADHD) symptoms and related executive self-regulation behaviors. The analyses sample (n = 331) included a subsample of participants from a birth cohort recruited from prenatal clinics and hospital facilities from April 2005 to June 2011 in Durham, North Carolina. Pre-pregnancy BMI was calculated from weight at the last menstrual period and height was extracted from medical records. Gestational weight gain was calculated from pre-pregnancy weight and weight measured at the time of delivery. ADHD symptoms and executive self-regulation behaviors were assessed by maternal report (mean age = 3 years). Multivariable regression methods with inverse probability weighting (IPW) were used to evaluate associations accounting for sample selection bias and confounding. Pre-pregnancy BMI at levels ≥35 was positively associated with higher ADHD symptoms and worse executive self-regulation behaviors (inhibitory control and attention). Compared to adequate GWG, less than adequate GWG was related to more ADHD hyperactive-impulsive symptoms, whereas greater than adequate GWG was related to more problematic behaviors related to working memory and planning. The findings support a link between maternal weight and child neurodevelopment. Continued research that help identify biological mechanisms are needed.

Background: Attention-deficit/hyperactivity disorder (ADHD) symptoms have been linked with eating behaviors and obesity adolescence and young adulthood. Yet, little is known about whether these associations occur during early childhood and few studies have examined these associations prospectively.Objectives: To assess magnitude and direction of associations between childhood ADHD symptoms and eating behaviors. Methods: Participants were from the Newborn Epigenetics Study (N = 470, M age = 4 years). Multivariable linear regression models were used to examine crosssectional associations between ADHD symptoms and eating behaviors. Latent Change Score (LCS) modeling was performed to examine prospective association among a subset of children with available follow-up data. (N = 100, M age = 7 years). Results:The cross-sectional results showed that attention problem (AP) and hyperactivity (HY) were positively associated with food responsiveness, emotional overeating, desire to drink, and slowness in eating. AP, but not HY, was inversely associated with enjoyment of food. Results of the LCS models revealed AP and HY were both positively associated with prospective changes in emotional overeating and satiety responsiveness. AP was further positively associated with prospective changes in food responsiveness. The reverse relationship predicting changes in ADHD symptoms from earlier assessments of eating behaviors was not significant. Conclusion:Results suggest a link between ADHD symptoms and obesity-related eating behaviors in early childhood, highlighting the need to address self-regulation and healthy eating behaviors in the prevention of childhood obesity. K E Y W O R D S