In the United States, the prevalence of mental illness in the past year is more common among females than males and more common among the young than the old. As of 2023, some 26.4 percent of females reported some type of mental illness in the past year, compared to 19 percent of males. Common forms of mental illness include depression, anxiety disorders, and mood disorders. Depression Depression is one of the most common mental illnesses in the United States. Depression is defined by prolonged feelings of sadness, hopelessness, and despair leading to a loss of interest in activities once enjoyed, a loss of energy, trouble sleeping, and thoughts of death or suicide. It is estimated that around five percent of the U.S. population suffers from depression. Depression is more common among women with around six percent of women suffering from depression compared to four percent of men. Mental illness and substance abuse Data has shown that those who suffer from mental illness are more likely to suffer from substance abuse than those without mental illness. Those with mental illness are more likely to use illicit drugs such as heroin and cocaine, and to abuse prescription drugs than those without mental illness. As of 2023, around 7.9 percent of adults in the United States suffered from co-occuring mental illness and substance use disorder.

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.

In 2023, it was estimated that nearly 32 percent of men aged 30 to 34 suffered from some mental illness, and 8.7 percent of those in this age group suffered from serious mental illness. This statistic shows the percentage of U.S. men with any or serious mental illness in the past year in 2023, by age.

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.

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.

Introduction

Social Media Mental Health Statistics: Social media has many uses, but it often causes the most harm to younger users. Teens face significant mental health issues due to social media, and the COVID-19 pandemic made things worse by increasing screen time and social media use. This created more opportunities for teens to encounter online problems, worsening the situation.

Teens also use social media to find communities and interest groups, watch live streams, and support good causes. It’s important to US teens that they feel welcome and safe online. Despite some problems, social media offers many chances for connection and entertainment. We shall shed more light on the Social Media Mental Health Statistics through this article.

In 2023, around 9.4 percent of males and 27.3 percent of females in the United States aged 12 to 17 years reported that they had a major depressive episode in the past year. This statistic depicts the percentage of U.S. youths with a major depressive episode in the past year from 2004 to 2023, by gender.

In 2021, the percentage of children and adolescents who received treatment or counseling from a mental health professional in the past year varied across the United States. Vermont was the state with the highest percentage of children and adolescents who received mental health treatment, while Hawaii was the lowest. Across the U.S. the average rate was **** percent. This graph shows the percentage of children and adolescents in United States aged **** who received treatment or counseling from a mental health professional in the past 12 months as of 2021.

In a survey carried out in March 2020, 51 percent of young people in the United Kingdom (UK) reported that the current coronavirus (COVID-19) pandemic and the resulting public health measures have made their mental health a bit worse. Furthermore, 32 percent say the impact of the coronavirus crisis has made their mental health much worse, while only seven percent state that their mental health has improved in this time. The number of current coronavirus cases in the UK can be found here. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

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.

This is a report on NHS-funded Community Services for children and young people aged 18 years or under using data from the new Children and Young People's Health Services (CYPHS) data set reported in England for activity between October 2015 and March 2016. The CYPHS is a patient-level dataset providing information relating to NHS-funded community services for children and young people aged 18 years or under. These services can include health centres, schools and mental health trusts. The data collected includes personal and demographic information, diagnoses including long-term conditions and childhood disabilities and care events plus screening activities. It has been developed as part of the Maternity and Children's Data Set (MCDS) Project to achieve better outcomes of care for children and young people. It provides data that will be used to improve clinical quality and service efficiency, in a way that improves health and reduces inequalities. These statistics are classified as experimental and should be used with caution. Experimental statistics are new official statistics undergoing evaluation. They are published in order to involve users and stakeholders in their development and as a means to build in quality at an early stage. More information about experimental statistics can be found on the UK Statistics Authority website.

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.

BackgroundPredicting which children will go on to develop mental health symptoms as adolescents is critical for early intervention and preventing future, severe negative outcomes. Although many aspects of a child’s life, personality, and symptoms have been flagged as indicators, there is currently no model created to screen the general population for the risk of developing mental health problems. Additionally, the advent of machine learning techniques represents an exciting way to potentially improve upon the standard prediction modelling technique, logistic regression. Therefore, we aimed to I.) develop a model that can predict mental health problems in mid-adolescence II.) investigate if machine learning techniques (random forest, support vector machines, neural network, and XGBoost) will outperform logistic regression.MethodsIn 7,638 twins from the Child and Adolescent Twin Study in Sweden we used 474 predictors derived from parental report and register data. The outcome, mental health problems, was determined by the Strengths and Difficulties Questionnaire. Model performance was determined by the area under the receiver operating characteristic curve (AUC).ResultsAlthough model performance varied somewhat, the confidence interval overlapped for each model indicating non-significant superiority for the random forest model (AUC = 0.739, 95% CI 0.708–0.769), followed closely by support vector machines (AUC = 0.735, 95% CI 0.707–0.764).ConclusionUltimately, our top performing model would not be suitable for clinical use, however it lays important groundwork for future models seeking to predict general mental health outcomes. Future studies should make use of parent-rated assessments when possible. Additionally, it may not be necessary for similar studies to forgo logistic regression in favor of other more complex methods.

A survey conducted in 2022 found that young adults aged between 18 and 24 were more likely to suffer from moderate to severe stress, depression, and anxiety symptoms. That year, around 66 percent of respondents from this age group reported stress-related symptoms, while 25 percent of those aged 65 and older had similar symptoms. Similar age group trends were also noted for negative effects on wellbeing from feelings of loneliness. Additionally, fewer men than women were likely to report having mental health conditions such as stress, anxiety, and depression. Anxiety, depression, and stress in Europe In Europe, there is a notable variation in the prevalence of mental illnesses. Throughout the epidemic, depression and anxiety increased in all EU nations, affecting young people, particularly young women and those in financial difficulties. A study published by the OECD reported that 55 percent of adults residing in the EU were at risk of depression in 2022. Another study, published in the same year, found that more than half of the respondents surveyed in Ireland, the United Kingdom, and Italy had reported experiencing stress. Anxiety, depression, and loneliness in the U.S. In the United States, anxiety, depression, and loneliness are prevalent issues affecting a significant portion of the population. According to a survey done in 2022, one-third of U.S. adults aged between 18 and 29 years mentioned that they “always” or “often” felt depressed or lonely in the past year. Over half of U.S. adults in the same age group reported that they felt anxious. Furthermore, adults with lower household incomes were more likely than those with higher household incomes to mention that they felt anxious, lonely, or depressed.

Number and percentage of persons based on the perception of their mental health status, by age group and sex.

1997-2014. Substance Abuse and Mental Health Services Administration (SAMHSA). Synar Reports: Youth Tobacco Sales. Policy – Youth Tobacco Sales. SAMHSA’s Synar Report on Youth Tobacco Sales presents findings on compliance of the Synar Amendment aimed at decreasing youth access to tobacco, and reviews progress in enforcing State youth tobacco access laws and in reducing the percentage of retailers selling tobacco products to minors.

Of U.S. adults surveyed in 2021, 68 percent agreed that mental health problems among children and teens have increased over the last 10 years. This statistic shows the percentage of U.S. adults who agreed or disagreed with the statement "children and teens now have more mental health problems than they did 10 years ago" as of 2021.

According to a study conducted in England in 2023, over ** percent of young people aged between 17 and 19 years had a likelihood of probable mental disorder. Furthermore, over a fifth of children aged from 11 to 16 years were also assessed to have a probable disorder. Results of the Strengths and Difficulties Questionnaire (SDQ) were used to judge the mental health status of children and young people.

BackgroundWhile most existing studies reveal left-behind children (LBC) are prone to suffering from mental health issues, some other literature fails to develop a statistical significance between being left-behind and facing mental health dilemmas. In further detail, it is noteworthy that suicide ideation is a gendered issue. Here girls, relative to their male counterparts, are more likely to experience emotional and affective challenges, alongside a higher risk of suicide ideation. Aside from suicide ideation, the rate of suicide attempts is also higher among Chinese female than among male LBC. However, Chang et al. counter-argue that, within the LBC cohorts, it is not statistically significant to state that girls were more likely for suicide attempts than boys.MethodsIn this paper, a systematic review of relevant literature and a meta-analysis of all qualified randomised controlled trial (RCT) studies were conducted. The authors aim to examine all relevant studies with similar methodologies to observe the nuanced relationships between being left-behind and mental health issues in Chinese contexts. Specifically, the authors will, grounded on the findings from the systematic review and meta-analysis, assess whether the relationship between mental health issues and being left-behind is gendered in Chinese contexts by analysing all relevant findings derived from similar methodologies and the same method (i.e., RCT).ResultsAside from Wanjie et al.’s studies, it is noticeable that the rest of the studies share similar point estimates and their CIs overlapped to a large extent. As per the I2, given the presence of Wanjie et al.’s studies that demonstrate an observably higher degree of heterogeneity than the rest of the studies, the I2 values, each for the measurement of anxiety and depression, are 74.8 percent and 34.7 percent respectively. This shows that there is a considerable heterogeneity level for anxiety, while the heterogeneity level for depression is moderate. However, both p-values for the I2 statistics are larger than 0.05. Therefore, at the 0.05 significance level, it is statistically insignificant to reject the null hypothesis that there is no heterogeneity between individual studies in both the subgroups of anxiety and depression. Therefore, the concern of the potentially substantial heterogeneity should be irrelevant in this meta-analysis.Beyond the discussion from the forest plot, when looking at the single study addressing the relationship between being left-behind and having suicide attempts (note: LBC—OR is 1.22; 95 percent CI is 1.22 –and NLBC—OR is 1.42; 95 percent CI is 1.09–1.86 –at the p-value of 0.34), the findings demonstrate that such a relationship per se is not gendered at the 0.05 statistical significance level.However, when examining the relationship between being resilient and left-behind, such an association is gendered where the OR of female left-behind university students being resilient, relative to male left-behind university students, is slightly higher than that of female non-left-behind university students being resilient, relative to their male non-left-behind university student counterparts. It is noteworthy that this study focuses on studying left-behind and non-left-behind samples who entered universities. Since a raft of LBC are socially, educationally disadvantaged, they lack the opportunities to receive higher education. Therefore, the findings of this study might not be indicative of the LBC population at large.ConclusionsWhile the findings of this meta-analysis project fail to reflect any gendered issues statistically, the authors are aware of the fact that the data included in this project were collected based on perception. Here samples, or their parents and teachers, were responsible for answering the questions with respect to samples’ mental health status and demographic details. In China, especially in less developed rural regions, the discourse on mental health challenges might continue to be seen as taboo, so individuals giving responses might, consciously or not, tend to give socially desirable answers to avoid any potential social stigmatisation. Therefore, there is some extent of reservation regarding the validity of the included studies’ data.

BackgroundThe impact of screen time on mental health, including depression, has attracted increasing attention from not only children and adolescents but also the elderly. Thus, we conducted a meta-analysis of cohort studies to evaluate the association between screen time and depression risk.MethodsThe PubMed, Embase, Web of Science, and China National Knowledge Infrastructure databases were searched for cohort studies up to May 2022, and the reference lists of the included studies were also retrieved. A random-effect model was used to estimate the combined effect size. Heterogeneity was assessed with the I2 statistic. Potential publication bias was evaluated using a funnel plot and Begg’s and Egger’s tests.ResultsThe final analysis included 18 cohort studies with a combined total of 241,398 participants. The pooled risk ratio (RR) was 1.10 (95% confidence interval: 1.05–1.14), with significant heterogeneity (I2 = 82.7%, P < 0.001). The results of subgroup analyses showed that the pooled RRs varied according to geographic locations, gender, age group, screen time in the control group, depression at the baseline, and whether the study was conducted during the COVID-19 pandemic. No obvious evidence of publication bias was found.ConclusionThis study indicates that screen time is a predictor of depressive symptoms. The effects of screen time on depression risk may vary based on the participant’s age, gender, location, and screen time duration. The findings could have important implications for the prevention of depression.