Mental Health Surveillance Among Children - United States, 2013-2019.

Mental health encompasses a range of mental, emotional, social, and behavioral functioning and occurs along a continuum from good to poor. Previous research has documented that mental health among children and adolescents is associated with immediate and long-term physical health and chronic disease, health risk behaviors, social relationships, education, and employment. Public health surveillance of children's mental health can be used to monitor trends in prevalence across populations, increase knowledge about demographic and geographic differences, and support decision-making about prevention and intervention. Numerous federal data systems collect data on various indicators of children's mental health, particularly mental disorders. The 2013-2019 data from these data systems show that mental disorders begin in early childhood and affect children with a range of sociodemographic characteristics. During this period, the most prevalent disorders diagnosed among U.S. children and adolescents aged 3-17 years were attention-deficit/hyperactivity disorder and anxiety, each affecting approximately one in 11 (9.4%-9.8%) children. Among children and adolescents aged 12-17 years, one fifth (20.9%) had ever experienced a major depressive episode. Among high school students in 2019, 36.7% reported persistently feeling sad or hopeless in the past year, and 18.8% had seriously considered attempting suicide. Approximately seven in 100,000 persons aged 10-19 years died by suicide in 2018 and 2019. Among children and adolescents aged 3-17 years, 9.6%-10.1% had received mental health services, and 7.8% of all children and adolescents aged 3-17 years had taken medication for mental health problems during the past year, based on parent report. Approximately one in four children and adolescents aged 12-17 years reported having received mental health services during the past year. In federal data systems, data on positive indicators of mental health (e.g., resilience) are limited. Although no comprehensive surveillance system for children's mental health exists and no single indicator can be used to define the mental health of children or to identify the overall number of children with mental disorders, these data confirm that mental disorders among children continue to be a substantial public health concern. These findings can be used by public health professionals, health care providers, state health officials, policymakers, and educators to understand the prevalence of specific mental disorders and other indicators of mental health and the challenges related to mental health surveillance.

Suicidal Thoughts and Behaviors Among Adults Aged ≥18 Years - United States, 2015-2019.

PROBLEM/CONDITION: Suicidal thoughts and behaviors are important public health concerns in the United States. In 2019, suicide was the 10th leading cause of death among persons aged ≥18 years (adults); in that year, 45,861 adults died as a result of suicide, and an estimated 381,295 adults visited hospital emergency departments for nonfatal, self-inflicted injuries. Regional- and state-level data on self-inflicted injuries are needed to help localities establish priorities and evaluate the effectiveness of suicide prevention strategies. PERIOD COVERED: 2015-2019. DESCRIPTION OF SYSTEM: The National Survey on Drug Use and Health (NSDUH) is an annual survey of a representative sample of the civilian, noninstitutionalized U.S. population aged ≥12 years. NSDUH collects data on the use of illicit drugs, alcohol, and tobacco; initiation of substance use; substance use disorders and treatment; health care; and mental health. This report summarizes data on responses to questions concerning suicidal thoughts and behaviors contained in the mental health section among sampled persons aged ≥18 years in all 50 states and the District of Columbia. This report summarizes 2015-2019 NSDUH data collected from 254,767 respondents regarding national-, regional-, and state-level prevalence of suicidal thoughts, planning, and attempts by age group, sex, race and ethnicity, region, state, education, marital status, poverty level, and health insurance status. RESULTS: Prevalence estimates of suicidal thoughts and behaviors varied by sociodemographic factors, region, and state. During 2015-2019, an estimated 10.6 million (annual average) adults in the United States (4.3% of the adult population) reported having had suicidal thoughts during the preceding year. The prevalence of having had suicidal thoughts ranged from 4.0% in the Northeast and South to 4.8% in the West and from 3.3% in New Jersey to 6.9% in Utah. An estimated 3.1 million adults (1.3% of the adult population) had made a suicide plan in the past year. The prevalence of having made suicide plans ranged from 1.0% in the Northeast to 1.4% in the Midwest and West and from 0.8% in Connecticut and New Jersey to 2.4% in Alaska. An estimated 1.4 million adults (0.6% of the adult population) had made a suicide attempt in the past year. The prevalence of suicide attempts ranged from 0.5% in the Northeast to 0.6% in the Midwest, South, and West and from 0.3% in Connecticut to 0.9% in West Virginia. Past-year prevalence of suicidal thoughts, suicide planning, and suicide attempts was higher among females than among males, higher among adults aged 18-39 years than among those aged ≥40 years, higher among noncollege graduates than college graduates, and higher among adults who had never been married than among those who were married, separated, divorced, or widowed. Prevalence was also higher among those living in poverty than among those with a family income at or above the federal poverty threshold and higher among those covered by Medicaid or the Children's Health Insurance Program than among those with other types of health insurance or no health insurance coverage. INTERPRETATION: The findings in this report highlight differences in the adult prevalence of suicidal thoughts, plans to attempt suicide, and attempted suicide during the 12 months preceding the survey at the national, regional, and state levels during 2015-2019. Geographic differences in suicidal thoughts and behavior varied by sociodemographic characteristics and might be attributable to sociodemographic composition of the population, selective migration, or the local cultural milieu. These findings underscore the importance of ongoing surveillance to collect locally relevant data on which to base prevention and intervention strategies. PUBLIC HEALTH ACTION: Understanding the patterns of and risk factors for suicide is essential for designing, implementing, and evaluating public health programs for suicide prevention and policies that reduce morbidity and mortality related to suicidal thoughts and behaviors. State health departments and federal agencies can use the results from this report to assess progress toward achieving national and state health objectives in suicide prevention. Strategies might include identifying and supporting persons at risk, promoting connectedness, and creating protective environments.

Identifying profiles of need among psychiatric inpatients approaching discharge in New York City: a latent class analysis.

PURPOSE: Understanding the needs of individuals transitioning to the community following a psychiatric hospitalization can inform community service planning. This study is among the first to examine the needs of a sample of psychiatric inpatients approaching discharge in a large urban area in the USA. METHODS: Representative data were drawn from 1129 acutely hospitalized psychiatric inpatients from eight New York City hospitals. Descriptive statistics were used to estimate patient needs at discharge across nine domains: housing, employment, income, transportation, education, time use, social support, and help accessing medical and mental health care. Latent class analysis (LCA) was applied to identify subgroups of patients based on needs profiles. Multinomial logistic regression was used to investigate socio-demographic associations with class membership. RESULTS: Respondents were most likely to have needs related to income (50.7%), housing (49.2%), and employment (48.7%). Results from the LCA suggested a five class solution of patient needs: three domain-specific classes whose members endorsed needs for 'housing and employment' (22.5%), 'social support and time use' (15.0%) and 'access to care' (6.4%) and two classes where overall member needs were high ('high needs,'18.4%) or low ('low needs,' 37.7%) across all needs. Compared to the 'low needs' class, members of the 'high needs' class had significantly greater odds of being black or Latino, male, uninsured, and parents of a child under 18 years. CONCLUSION: Patients have unique profiles of need that are significantly associated with the socio-demographic characteristics. These findings may help practitioners and policymakers improve mental health services.

Identification of risk factors for early psychiatric rehospitalization.

Identifying risk factors for early psychiatric rehospitalization (EPR, rehospitalization within 90 days) can inform strategies to reduce rehospitalization rates. Random forest (RF), a tree-based classification algorithm, can be useful for identifying potential risk factors for EPR from a large number of patient factors. Patient characteristics were collected from 519 psychiatric inpatients at eight New York City hospitals. RF was used to identify potential risk factors for EPR. Multiple logistic regression was performed to assess the association between the identified risk factors and rehospitalization. Top risk factors identified by RF were previous psychiatric hospitalizations, number of post-discharge needs, social isolation, and sense of belonging in one's community. Follow-up analyses confirmed the significant association between EPR and number of previous psychiatric hospitalizations, number of endorsed post-discharge needs, and social isolation after adjusting for demographic variables. Understanding the contributors to EPR can better inform mental health service planning, policies, and programs that promote recovery.

Invited commentary: broadening the evidence for adolescent sexual and reproductive health and education in the United States.

Scientific research has made major contributions to adolescent health by providing insights into factors that influence it and by defining ways to improve it. However, US adolescent sexual and reproductive health policies-particularly sexuality health education policies and programs-have not benefited from the full scope of scientific understanding. From 1998 to 2009, federal funding for sexuality education focused almost exclusively on ineffective and scientifically inaccurate abstinence-only-until-marriage (AOUM) programs. Since 2010, the largest source of federal funding for sexual health education has been the "tier 1" funding of the Office of Adolescent Health's Teen Pregnancy Prevention Initiative. To be eligible for such funds, public and private entities must choose from a list of 35 programs that have been designated as "evidence-based" interventions (EBIs), determined based on their effectiveness at preventing teen pregnancies, reducing sexually transmitted infections, or reducing rates of sexual risk behaviors (i.e., sexual activity, contraceptive use, or number of partners). Although the transition from primarily AOUM to EBI is important progress, this definition of evidence is narrow and ignores factors known to play key roles in adolescent sexual and reproductive health. Important bodies of evidence are not treated as part of the essential evidence base, including research on lesbian, gay, bisexual, transgender, queer, and questioning (LGBTQ) youth; gender; and economic inequalities and health. These bodies of evidence underscore the need for sexual health education to approach adolescent sexuality holistically, to be inclusive of all youth, and to address and mitigate the impact of structural inequities. We provide recommendations to improve US sexual health education and to strengthen the translation of science into programs and policy.