A 2023 survey conducted in the United States found that approximately 87 percent of young individuals had suffered from some mental health problem on a regular basis. The leading mental health challenge experienced by most youth respondents was anxiety, with 58 percent. This statistic illustrates the percentage of U.S. youth who experienced mental health challenges regularly as of 2023, by type.

The following datasets are based on the children and youth (under age 21) beneficiary population and consist of aggregate Mental Health Service data derived from Medi-Cal claims, encounter, and eligibility systems. These datasets were developed in accordance with California Welfare and Institutions Code (WIC) § 14707.5 (added as part of Assembly Bill 470 on 10/7/17). Please contact BHData@dhcs.ca.gov for any questions or to request previous years’ versions of these datasets. Note: The Performance Dashboard AB 470 Report Application Excel tool development has been discontinued. Please see the Behavioral Health reporting data hub at https://behavioralhealth-data.dhcs.ca.gov/ for access to dashboards utilizing these datasets and other behavioral health data.

These detailed tables present totals and prevalence estimates of mental health related issues among adolescents aged 12 to 17 from the 2012 National Survey on Drug Use and Health (NSDUH). Tables with data on ayouths include measures on mental health service utilization, MDE, treatment for depression (among youths with MDE), and co-occurrence of mental disorders with substance use or with substance use disorders. Results are provided by age group, gender, race/ethnicity, education level, county type, poverty level, insurance status, overal health, and geographic area. Comparisons are made between 2012 and 2011.

According to a survey conducted in 2023, finding a good job was the most commonly reported personal concern that impacted the mental health of young individuals in the United States, as indicated by nearly 50 percent of respondents. Another 42 percent also had their mental health affected by having to deal with a negative body image. This statistic illustrates the leading personal concerns negatively impacting the mental health of young individuals in the U.S. as of 2023.

The organizational data contains non-personally identifying information on clients referred to, served by, admitted to, and discharged from CPRI. The clinical assessment data included is collected using the interRAI Child and Youth Mental Health (ChYMH) and the ChYMH-Developmental Disability (ChyMH- DD) instruments. These assessment tools are designed for children and youth with mental health concerns receiving services from both inpatient and community-based mental health programs. The clinical assessment dataset is organized by Ministry of Children and Youth Services Regions: * Central * East * North * Toronto * West * Ontario See data dictionary for individual variables. *[CPRI]: Child and Parent Resource Institute

According to a 2023 survey, approximately ***** out of ten young individuals in the United States used some resource to address their mental health. As of that time, over a ***** of young respondents indicated they relied on self-help, such as meditation, exercise, or deep breathing, to treat their mental health. This statistic illustrates the percentage of U.S. youth who reported using select resources to address their mental health as of 2023, by type.

These are the detailed tables pertaining to adult mental health from the 2011 National Survey on Drug Use and Health (NSDUH). These detailed tables present totals and prevalence estimates for youths include major depressive episode (MDE), treatment for depression (among youths with MDE), mental health service utilization, and measures related to the co-occurrence of mental disorders with substance use or with substance use disorders. Results are provided for age group, gender, race/ethnicity, education level, government assistance status, poverty level, geographic area, insurance status. Comparisons are made between 2011 and 2002 to 2010.

This dataset was originally collected for a data science and machine learning project that aimed at investigating the potential correlation between the amount of time an individual spends on social media and the impact it has on their mental health.

The project involves conducting a survey to collect data, organizing the data, and using machine learning techniques to create a predictive model that can determine whether a person should seek professional help based on their answers to the survey questions.

This project was completed as part of a Statistics course at a university, and the team is currently in the process of writing a report and completing a paper that summarizes and discusses the findings in relation to other research on the topic.

The following is the Google Colab link to the project, done on Jupyter Notebook -

https://colab.research.google.com/drive/1p7P6lL1QUw1TtyUD1odNR4M6TVJK7IYN

The following is the GitHub Repository of the project -

https://github.com/daerkns/social-media-and-mental-health

Libraries used for the Project -

Pandas
Numpy
Matplotlib
Seaborn
Sci-kit Learn

A 2023 survey conducted among young people in the U.S. found that over 90 percent were using self-care methods for managing their mental health and emotions. This group of individuals mostly turned to listening to music as a self-care method for managing their mental health, as stated by about 72 percent of respondents. The statistic illustrates the percentage of U.S. youth who currently use self-care methods to manage their mental health as of 2023, by type.

This report presents findings from the third (wave 3) in a series of follow up reports to the 2017 Mental Health of Children and Young People (MHCYP) survey, conducted in 2022. The sample includes 2,866 of the children and young people who took part in the MHCYP 2017 survey. The mental health of children and young people aged 7 to 24 years living in England in 2022 is examined, as well as their household circumstances, and their experiences of education, employment and services and of life in their families and communities. Comparisons are made with 2017, 2020 (wave 1) and 2021 (wave 2), where possible, to monitor changes over time.

This map shows the access to mental health providers in every county and state in the United States according to the 2024 County Health Rankings & Roadmaps data for counties, states, and the nation. It translates the numbers to explain how many additional mental health providers are needed in each county and state. According to the data, in the United States overall there are 319 people per mental health provider in the U.S. The maps clearly illustrate that access to mental health providers varies widely across the country.The data comes from this County Health Rankings 2024 layer. An updated layer is usually published each year, which allows comparisons from year to year. This map contains layers for 2024 and also for 2022 as a comparison. County Health Rankings & Roadmaps (CHR&R), a program of the University of Wisconsin Population Health Institute with support provided by the Robert Wood Johnson Foundation, draws attention to why there are differences in health within and across communities by measuring the health of nearly all counties in the nation. This map's layers contain 2024 CHR&R data for nation, state, and county levels. The CHR&R Annual Data Release is compiled using county-level measures from a variety of national and state data sources. CHR&R provides a snapshot of the health of nearly every county in the nation. A wide range of factors influence how long and how well we live, including: opportunities for education, income, safe housing and the right to shape policies and practices that impact our lives and futures. Health Outcomes tell us how long people live on average within a community, and how people experience physical and mental health in a community. Health Factors represent the things we can improve to support longer and healthier lives. They are indicators of the future health of our communities. Some example measures are:Life ExpectancyAccess to Exercise OpportunitiesUninsuredFlu VaccinationsChildren in PovertySchool Funding AdequacySevere Housing Cost BurdenBroadband AccessTo see a full list of variables, definitions and descriptions, explore the Fields information by clicking the Data tab here in the Item Details of this layer. For full documentation, visit the Measures page on the CHR&R website. Notable changes in the 2024 CHR&R Annual Data Release:Measures of birth and death now provide more detailed race categories including a separate category for ‘Native Hawaiian or Other Pacific Islander’ and a ‘Two or more races’ category where possible. Find more information on the CHR&R website.Ranks are no longer calculated nor included in the dataset. CHR&R introduced a new graphic to the County Health Snapshots on their website that shows how a county fares relative to other counties in a state and nation. Data Processing:County Health Rankings data and metadata were prepared and formatted for Living Atlas use by the CHR&R team. 2021 U.S. boundaries are used in this dataset for a total of 3,143 counties. Analytic data files can be downloaded from the CHR&R website.

Publicly funded child and youth mental health services across the province including:

• child and youth mental health agencies
• child and youth mental health services offered through community agencies, including:
  • individual counselling
  • family counselling
  • group counselling
  • grief and loss counselling
  • anger management programs
  • suicide counselling
  • in person crisis intervention programs

The following information is provided for each service:

• name
• location
• hours of operation
• contact information
• description of program
• service area
• eligibility
• application process
• accessibility
• languages offered
• fee structure if applicable
• documents required

The Pittsburgh Youth Study (PYS) is part of the larger "Program of Research on the Causes and Correlates of Delinquency" initiated by the Office of Juvenile Justice and Delinquency Prevention in 1986. PYS aims to document the development of antisocial and delinquent behavior from childhood to early adulthood, the risk factors that impinge on that development, and help seeking and service provision of boys' behavior problems. The study also focuses on boys' development of alcohol and drug use, and internalizing problems. PYS consists of three cohorts of boys who were in the first, fourth, and seventh grades in Pittsburgh, Pennsylvania public schools during the 1987-1988 academic year (called the youngest, middle, and oldest cohorts, respectively). Using a screening risk score that measured each boy's antisocial behavior, boys identified at the top 30% within each grade cohort on the screening risk measure (n=~250), as well as an equal number of boys randomly selected from the remainder (n=~250), were selected for follow-up. Consequently, the final sample for the study consisted of 1,517 total students selected for follow-up. 503 of these students were in the oldest sample, 508 were in the middle sample, and 506 were in the youngest sample. Assessments were conducted semiannually and then annually using multiple informants (i.e., boys, parents, and teachers) between 1987 and 2010. The youngest cohort was assessed from ages 6-19 and again at ages 25 and 28. The middle cohort was assessed from ages 9-13 and again at age 23. The oldest cohort was assessed from ages 13-25, with an additional assessment at age 35. Information has been collected on a broad range of risk and protective factors across multiple domains (e.g., individual, family, peer, school, and neighborhood). Measures of conduct problems, substance use/abuse, criminal behavior, mental health problems have been collected. This collection contains data and syntax files for mental health constructs. The datasets include constructs on symptoms and contributing factors from both the DSM-IIIR and DSM-IV for Attention Deficit Hyperactivity Disorder (ADHD), Anxiety, Conduct Disorder, depressed mood, substance abuse, Major Depressive Episode and Dysthymia, Oppositional Defiant Disorder, Psychopathy with and without delinquency, Schizophrenia, help-seeking behavior, institutionalization, and other diagnoses and constructs. Additionally, the collection includes data on scores from the following scales: Problem Scale, DSM-Oriented Scale, Child Behavior Checklist (CBPRB), and Young Adult Problem Scales. The mental health constructs were created by using the PYS raw data. The raw data are available at ICPSR in the following studies: Pittsburgh Youth Study Youngest Sample (1987 - 2001) [Pittsburgh, Pennsylvania], Pittsburgh Youth Study Middle Sample (1987 - 1991) [Pittsburgh, Pennsylvania], and Pittsburgh Youth Study Oldest Sample (1987 - 2000) [Pittsburgh, Pennsylvania].

Data source description: YRBSS measures health-related behaviors and experiences that can lead to death and disability among youth and adults. Results help monitor health trends, identify emerging issues, and plan and evaluate programs that can help improve adolescent health. Responses from adolescents were used to produce estimates of experiences, behaviors, and conditions related to mental health and well-being for the nation and participating states.

For additional information, please see: https://www.cdc.gov/mental-health/about-data/mental-health-data-sources.html" target ="_blank">Mental Health Data Sources.

As of 2023, around 38 percent of U.S. LGBTQ youth who wanted mental health care were unable to get it because they could not afford it. The statistic illustrates the share of U.S. LGBTQ youth who wanted mental health care but were unable to get it for select reasons as of 2023.

Abstract

Mental disorders are significant contributors to illness, disability, and mortality, and they pose serious suicide risks. Many common mental disorders, including depression, anxiety, and behavioural issues, typically develop during adolescence and can lead to long-term mental and physical health challenges. Young people in Africa face a dual burden of HIV and mental health problems. This situation is further complicated by insufficient mental health resources, including data, and the need for locally validated, culturally appropriate screening tools to identify mental health issues. The UZIMA-DS Pilot study aims to consolidate various data sources to create a shared resource accessible to mental health researchers throughout Africa.

We harmonised data from existing studies conducted by the Africa Health Research Institute (AHRI) that assessed mental health in adolescents and young adults aged 10 to 24. The mental health outcomes examined included depression, probable common mental disorder (CMD), and suicidal ideation. Depression was assessed using a 9-item Patient Health Questionnaire (PHQ-9), while probable CMD was evaluated with a 14-item Shona Symptom Questionnaire (SSQ-14). Suicidal ideation was measured using both the PHQ-9 and SSQ-14. This harmonised dataset was integrated with migration data from AHRI's health and demographic surveillance system (HDSS) and clinic data from AHRI's clinical platform to provide insights into the long-term outcomes of study participants.

Analysis unit

Individuals

Universe

The harmonised data included adolescents and young adults aged 13-24 who were residents in the AHRI HDSS.

Kind of data

Survey data

Abstract The objective was to understand the difficulties and potential of a Mental Health (MH) network aimed at children and adolescents, identifying how professionals understand and operationalize the principles of the policy of SM for children and adolescents. Five Focus Groups were held, with the participation of 43 workers. We used lexical analysis through the Iramuteq software, originating four classes: “What is being a child and adolescent?”; “What do children and adolescents suffer from?”; “On the relationship between services” and “Potentials and challenges of the Mental Health Network”. Difficulties in sharing care were identified, articulating the network outside of oneself. Capsij is perceived as a priority for user embracement, and there is still difficulty in providing care in MH in Primary Care (AB). It is concluded that the complexity of care in MS for children and adolescents imposes the need to continue strategies to strengthen the AB and intersectoral actions aimed at an expanded clinic.

Emerging studies across the globe are reporting the impact of COVID-19 and its related virus containment measures, such as school closures and social distancing, on the mental health presentations and service utilization of children and youth during the early stages of lockdowns in their respective countries. However, there remains a need for studies which examine the impact of COVID-19 on children and youth's mental health needs and service utilization across multiple waves of the pandemic. The present study used data from 35,162 interRAI Child and Youth Mental Health (ChYMH) assessments across 53 participating mental health agencies in Ontario, Canada, to assess the mental health presentations and referral trends of children and youth across the first two waves of the COVID-19 pandemic in the province. Wave 1 consisted of data from March to June 2020, with Wave 2 consisting of data from September 2020 to January 2021. Data from each wave were compared to each other and to the equivalent period one year prior. While assessment volumes declined during both pandemic waves, during the second wave, child and youth assessments in low-income neighborhoods declined more than those within high-income neighborhoods. There were changes in family stressors noted in both waves. Notably, the proportion of children exposed to domestic violence and recent parental stressors increased in both waves of the pandemic, whereas there were decreases noted in the proportion of parents expressing feelings of distress, anger, or depression and reporting recent family involvement with child protection services. When comparing the two waves, while depressive symptoms and recent self-injurious attempts were more prevalent in the second wave of the pandemic when compared to the first, a decrease was noted in the prevalence of disruptive/aggressive behaviors and risk of injury to others from Wave 1 to Wave 2. These findings highlight the multifaceted impact of multiple pandemic waves on children and youth's mental health needs and underscore the need for future research into factors impacting children and youth's access to mental health agencies during this time.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. Secondary data analysis was performed on the Office of Juvenile Justice and Delinquency Prevention's Survey of Youth in Residential Placement (SYRP), which is the only national survey that gathers data directly from youth in the juvenile justice system. The Office of Juvenile Justice and Delinquency Prevention (OJJDP) designed the survey in 2000 and 2001 to survey offender youth between the ages of 10 and 20. SYRP asks the youth about their backgrounds, offense histories and problems; the facility environment; experiences in the facility; experiences with alcohol and drugs; experiences of victimization in placement; medical needs and services received; and their expectations for the future. The collection contains 1 syntax text file (Mplus syntax.txt). No data is included in this collection.

In 2023, venture funding into digital health start-ups focused on mental health among young people was just over *********** U.S. dollars in the United States. The last two years have witnessed a decrease in funding from a peak of *********** U.S. dollars being invested in digital start-ups for youth mental health.