Prenatal and Childhood Smoke Exposure Associations with Cognition, Language, and Attention-Deficit/Hyperactivity Disorder.

OBJECTIVE: To assess the relationships of prenatal and childhood smoke exposure with specific neurodevelopmental and behavioral problems during early childhood. STUDY DESIGN: A subsample (n = 386) of mother-child dyads from the Newborn Epigenetic Study (NEST) prebirth cohort participated in the study. Cotinine concentrations were used to objectively measure prenatal and childhood smoke exposure when youth were aged 3-13 years. Multivariable regression models were used to estimate associations of prenatal and childhood cotinine concentrations with performance on the National Institutes of Health (NIH) Toolbox and attention-deficit/hyperactivity disorder and behavioral symptoms, measured using the Behavior Assessment System for Children, 2nd edition (BASC-2). RESULTS: After adjusting for confounders, childhood cotinine concentrations were associated with poorer cognitive performance on tasks measuring cognitive flexibility (B = -1.29; P = .03), episodic memory (B = -0.97; P = .02), receptive language development (B = -0.58; P = .01), and inhibitory control and attention (B = -1.59; P = .006). Although childhood cotinine concentration was associated with higher levels of attention problems (B = 0.83; P = .004) on the BASC-2, after adjustment for confounders, the association is nonsignificant. Although associations for maternal cotinine concentrations were null, an interaction was detected between prenatal and childhood cotinine concentrations on the NIH Toolbox Picture Vocabulary Task (P = .02). CONCLUSIONS: Our findings suggest that childhood tobacco smoke exposure may lead to poorer attention regulation and language acquisition, complex visual processing ability, and attention problems.

Identifying the Best Questions for Rapid Screening of Secondhand Smoke Exposure Among Children.

INTRODUCTION: Many children suffer from secondhand smoke exposure (SHSe), which leads to a variety of negative health consequences. However, there is no consensus on how clinicians can best query parents for possible SHSe among children. We employed a data-driven approach to create an efficient screening tool for clinicians to quickly and correctly identify children at risk for SHSe. METHODS: Survey data from mothers and biospecimens from children were ascertained from the Neurodevelopment and Improving Children's Health following Environmental Tobacco Smoke Exposure (NICHES) study. Included were mothers and their children whose saliva were assayed for cotinine (n = 351 pairs, mean child age = 5.6 years). Elastic net regression predicting SHSe, as indicated from cotinine concentration, was conducted on available smoking-related questions and cross-validated with 2015-2016 National Health and Nutrition Examination Survey (NHANES) data to select the most predictive items of SHSe among children (n = 1670, mean child age = 8.4 years). RESULTS: Answering positively to at least one of the two final items ("During the past 30 days, did you smoke cigarettes at all?" and "Has anyone, including yourself, smoked tobacco in your home in the past 7 days?") showed area under the curve = .82, and good specificity (.88) and sensitivity (.74). These results were validated with similar items in the nationally representative NHANES sample, area under the curve = .82, specificity = .78, and sensitivity = .77. CONCLUSIONS: Our data-driven approach identified and validated two items that may be useful as a screening tool for a speedy and accurate assessment of SHSe among children. IMPLICATIONS: The current study used a rigorous data-driven approach to identify questions that could reliably predict SHSe among children. Using saliva cotinine concentration levels as a gold standard for determining SHSe, our analysis employing elastic net regression identified two questions that served as good classifier for distinguishing children who might be at risk for SHSe. The two items that we validated in the current study can be readily used by clinicians, such as pediatricians, as part of screening procedures to quickly identify whether children might be at risk for SHSe.

Mila Blooms: A Mobile Phone Application and Behavioral Intervention for Promoting Physical Activity and a Healthy Diet Among Adolescent Survivors of Childhood Cancer.

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.

Associations between attention deficit hyperactivity disorder symptoms and eating behaviors in early childhood.

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 cross-sectional 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.

Hospital Use Declines After Implementation Of Virginia Medicaid's Addiction And Recovery Treatment Services.

Medicaid programs responded to the opioid crisis by expanding treatment coverage and reforming delivery systems. We assessed whether Virginia's Addiction and Recovery Treatment Services (ARTS) program, implemented in April 2017, influenced emergency department and inpatient use. Using claims for January 2016-June 2018 and difference-in-differences models, we compared beneficiaries with opioid use disorder before and after ARTS implementation to beneficiaries with no substance use disorder. After program implementation, the likelihood of having an emergency department visit in a quarter declined by 9.4 percentage points (a 21.1 percent relative decrease) among beneficiaries with opioid use disorder, compared to 0.9 percentage points among beneficiaries with no substance use disorder. Similarly, the likelihood of having an inpatient hospitalization declined among beneficiaries with opioid use disorder. In contrast to other states, Virginia has a new Medicaid expansion population whose beneficiaries enter a delivery system in which reforms of the addiction treatment system are well under way.

Pre-Pregnancy Weight and Symptoms of Attention Deficit Hyperactivity Disorder and Executive Functioning Behaviors in Preschool Children.

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.

Trends in Preventable Inpatient and Emergency Department Utilization in California Between 2012 and 2015: The Role of Health Insurance Coverage and Primary Care Supply.

BACKGROUND: Expansions of health insurance coverage tend to increase hospital emergency department (ED) utilization and inpatient admissions. However, provisions in the Affordable Care Act that expanded primary care supply were intended in part to offset the potential for increased hospital utilization. OBJECTIVES: To examine the association between health insurance coverage, primary care supply, and ED and inpatient utilization, and to assess how both factors contributed to trends in utilization in California between 2012 and 2015. METHODS: Population-based measures of ED and inpatient utilization, insurance coverage, and primary care supply were constructed for California counties for the years 2012 through 2015. Fixed effects regression analysis is used to examine the association between health insurance coverage, primary care supply, and rates of preventable ED and inpatient utilization. RESULTS: Higher levels of Medicaid coverage in a county are associated with higher levels of preventable ED and inpatient utilization, although greater numbers of primary care practitioners and Federally Qualified Health Centers reduce this type of utilization. CONCLUSIONS: Increases in coverage accelerated a long-term increase in ED visits and prevented an even larger decrease in inpatient admissions, but changes in coverage do not fully explain these underlying trends. Increases in primary care supply offset the effects of coverage changes only modestly. Policymakers should not overstate the impact of the Affordable Care Act on increasing ED visits, and should focus on better understanding the underlying factors that are driving the trends.

Availability and Quality of Size Estimations of Female Sex Workers, Men Who Have Sex with Men, People Who Inject Drugs and Transgender Women in Low- and Middle-Income Countries.

OBJECTIVE: To 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. METHODS: Size 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.' FINDINGS: Of 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. CONCLUSIONS: Size 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.

Polymorphisms of presenilin-1 gene associate with dilated cardiomyopathy susceptibility.

Dilated cardiomyopathy (DCM) is characterized by ventricular chamber enlargement and systolic dysfunction with normal left ventricular wall thickness. It is the third leading causes of heart failure and the most common cause of heart transplantation due to its ventricular dilatation and contractile dysfunction. Currently, four hypothesized pathogenic mechanisms have been proposed: genetic predisposition, persistent cardiotropic viral infection, autoimmunity, and cell apoptosis. Presenilin-1 gene has been previously found to be associated with cell apoptosis and cardiac development. To assess the role of presenilin-1 in DCM, we examined two single nucleotide polymorphisms (SNPs) in presenilin-1 gene, namely, rs1800844 and rs177415. A total of 282 DCM patients and 306 controls were included in the study, and all SNPs were genotyped by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). Compared with controls, the frequency of AA and AC genotypes and the A allele at SNP rs177415 were significantly increased in DCM patients. No difference of the SNP genotype and allele frequencies at SNP rs1800844 was detected between DCM and control groups. Unconditional logistic regression adjusting for type 2 diabetes, hyperlipidemia, cigarette smoking, and gender, confirmed the association between that SNP rs177415 of the presenilin-1 gene and the susceptibility of DCM (adjusted OR 1.300, 95% CI 1.013-1.669; P = 0.039). Our data indicate, for the first time, the association of the presenilin-1 gene SNPs with human DCM and the allele A at SNP rs177415 in presenilin-1 gene may increase the risk of DCM.