Objectives To use the latest data to estimate the prevalence and correlates of currently diagnosed depression, anxiety problems, and behavioral or conduct problems among children, and the receipt of related mental health treatment. Study design We analyzed data from the 2016 National Survey of Children's Health (NSCH) to report nationally representative prevalence estimates of each condition among children aged 3-17 years and receipt of treatment by a mental health professional. Parents/caregivers reported whether their children had ever been diagnosed with each of the 3 conditions and whether they currently have the condition. Bivariate analyses were used to examine the prevalence of conditions and treatment according to sociodemographic and health-related characteristics. The independent associations of these characteristics with both the current disorder and utilization of treatment were assessed using multivariable logistic regression. Results Among children aged 3-17 years, 7.1% had current anxiety problems, 7.4% had a current behavioral/ conduct problem, and 3.2% had current depression. The prevalence of each disorder was higher with older age and poorer child health or parent/caregiver mental/emotional health; condition-specific variations were observed in the association between other characteristics and the likelihood of disorder. Nearly 80% of those with depression received treatment in the previous year, compared with 59.3% of those with anxiety problems and 53.5% of those with behavioral/conduct problems. Model-adjusted effects indicated that condition severity and presence of a comorbid mental disorder were associated with treatment receipt. Conclusions The latest nationally representative data from the NSCH show that depression, anxiety, and behavioral/ conduct problems are prevalent among US children and adolescents. Treatment gaps remain, particularly for anxiety and behavioral/conduct problems.

To estimate the national prevalence of parent-reported autism spectrum disorder (ASD) diagnosis among US children aged 3 to 17 years as well as their treatment and health care experiences using the 2016 National Survey of Children's Health (NSCH). METHODS: The 2016 NSCH is a nationally representative survey of 50 212 children focused on the health and well-being of children aged 0 to 17 years. The NSCH collected parentreported information on whether children ever received an ASD diagnosis by a care provider, current ASD status, health care use, access and challenges, and methods of treatment. We calculated weighted prevalence estimates of ASD, compared health care experiences of children with ASD to other children, and examined factors associated with increased likelihood of medication and behavioral treatment. RESULTS: Parents of an estimated 1.5 million US children aged 3 to 17 years (2.50%) reported that their child had ever received an ASD diagnosis and currently had the condition. Children with parent-reported ASD diagnosis were more likely to have greater health care needs and difficulties accessing health care than children with other emotional or behavioral disorders (attention-deficit/hyperactivity disorder, anxiety, behavioral or conduct problems, depression, developmental delay, Down syndrome, intellectual disability, learning disability, Tourette syndrome) and children without these conditions. Of children with current ASD, 27% were taking medication for ASD-related symptoms, whereas 64% received behavioral treatments in the last 12 months, with variations by sociodemographic characteristics and co-occurring conditions. CONCLUSIONS: The estimated prevalence of US children with a parent-reported ASD diagnosis is now 1 in 40, with rates of ASD-specific treatment usage varying by children's sociodemographic and co-occurring conditions.

This article examines literature reviews of research articles and dissertations focused on the effectiveness of college- or university-based sexual violence prevention programs. Literature reviews were eligible for inclusion in this article if they examined empirical published peer-reviewed research articles or dissertation research that reported original data; focused on examining the effectiveness of programs that were developed to reduce sexual violence that occurred in college or university settings; offered recommendations for developing and implementing effective college- or university-based sexual assault prevention programs; and reviewed studies that occurred in the United States. Eight review articles met the inclusion criteria. The results suggest that the effectiveness of college- or university-based sexual violence prevention programs varies depending on the type of audience, facilitator, format, and program content. Recommendations from existing reviews of empirical research concerning these program characteristics should be considered by college or university administrators when designing and implementing their own programs on campus.

Background Meta‐analyses of observational studies have shown that women with a shorter interpregnancy interval (the time from delivery to start of a subsequent pregnancy) are more likely to experience adverse pregnancy outcomes, such as preterm delivery or small for gestational age birth, than women who space their births further apart. However, the studies used to inform these estimates have methodological shortcomings. Methods In this commentary, we summarise the discussions of an expert workgroup describing good practices for the design, analysis, and interpretation of observational studies of interpregnancy interval and adverse perinatal health outcomes. Results We argue that inferences drawn from research in this field will be improved by careful attention to elements such as: (a) refining the research question to clarify whether the goal is to estimate a causal effect vs describe patterns of association; (b) using directed acyclic graphs to represent potential causal networks and guide the analytic plan of studies seeking to estimate causal effects; (c) assessing how miscarriages and pregnancy terminations may have influenced interpregnancy interval classifications; (d) specifying how key factors such as previous pregnancy loss, pregnancy intention, and maternal socio‐economic position will be considered; and (e) examining if the association between interpregnancy interval and perinatal outcome differs by factors such as maternal age. Conclusion This commentary outlines the discussions of this recent expert workgroup, and describes several suggested principles for study design and analysis that could mitigate many potential sources of bias.

Background Stress has been shown to suppress ovulation in experimental models, but its effect on human reproduction at the population level is unclear. Methods Healthy women (n=259), aged 18–44 years from Western New York, were followed for two menstrual cycles (2005–2007). Women completed daily perceived stress assessments, a 4-item Perceived Stress Scale (PSS-4) up to four times each cycle, and a 14-item PSS at baseline. Mixed model analyses were used to assess effects of stress on log reproductive hormone concentrations and sporadic anovulation. Results High versus low daily stress was associated with lower estradiol (-9.5%; 95% confidence interval (CI)= -15.6% to -3.0%), free estradiol (-10.4% [-16.5% to -3.9%]), and LH (-14.8% = [-21.3% to -7.7%]), and higher FSH (6.2% [2.0% to 10.5%]) after adjusting for age, race, percent body fat, depression score, and time-varying hormones and vigorous exercise. High versus low daily stress was also associated with lower luteal progesterone (-10.4% [-19.7% to -0.10%]) and higher odds of anovulation (adjusted OR = 2.2 [95% CI=1.0 to 4.7]). For each unit increase in daily stress level, women had a 70% higher odds of an anovulatory episode (OR=1.7 [1.1 to 2.4]). Similar but attenuated results were found for the association between the PSS-4 and reproductive hormones, while null findings were found for the baseline PSS. Conclusion Daily perceived stress does appear to interfere with menstrual cycle function among women with no known reproductive disorders, warranting further research to explore potential population-level impacts and causal biologic mechanisms.