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.

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.

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 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.

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.

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.

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 is the second (wave 2) in a series of follow up reports to the Mental Health and Young People Survey (MHCYP) 2017, exploring the mental health of children and young people in February/March 2021, during the Coronavirus (COVID-19) pandemic and changes since 2017. Experiences of family life, education, and services during the COVID-19 pandemic are also examined. The sample for the Mental Health Survey for Children and Young People, 2021 (MHCYP 2021), wave 2 follow up was based on 3,667 children and young people who took part in the MHCYP 2017 survey, with both surveys also drawing on information collected from parents. Cross-sectional analyses are presented, addressing three primary aims: Aim 1: Comparing mental health between 2017 and 2021 – the likelihood of a mental disorder has been assessed against completion of the Strengths and Difficulties Questionnaire (SDQ) in both years in Topic 1 by various demographics. Aim 2: Describing life during the COVID-19 pandemic - Topic 2 examines the circumstances and experiences of children and young people in February/March 2021 and the preceding months, covering: COVID-19 infection and symptoms. Feelings about social media use. Family connectedness. Family functioning. Education, including missed days of schooling, access to resources, and support for those with Special Educational Needs and Disabilities (SEND). Changes in circumstances. How lockdown and restrictions have affected children and young people’s lives. Seeking help for mental health concerns. Aim 3: Present more detailed data on the mental health, circumstances and experiences of children and young people by ethnic group during the coronavirus pandemic (where sample sizes allow). The data is broken down by gender and age bands of 6 to 10 year olds and 11 to 16 year olds for all categories, and 17 to 22 years old for certain categories where a time series is available, as well as by whether a child is unlikely to have a mental health disorder, possibly has a mental health disorder and probably has a mental health disorder. This study was funded by the Department of Health and Social Care, commissioned by NHS Digital, and carried out by the Office for National Statistics, the National Centre for Social Research, University of Cambridge and University of Exeter.

This is a behavioral health report for HHS Region I of the United States and utilizes data from the National Survey on Drug Use and Health (NSDUH) and the National Survey of Substance Abuse Treatment (N-SSATS), collected annually. The topics addressed in the reports include youth substance use, youth mental health and treatment, adult mental health, substance use and substance use treatment.

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.

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.

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

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.

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.

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.

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

This statistic shows the percentage of Canadian First Nations youth that had been diagnosed with select mental health disorders as of *********. According to the data, *** percent of First Nations youth had been diagnosed with anxiety.

Experimental statistics from the Mental Health Services Data Set (MHSDS) - Children & Young People