This statistic depicts the percentage of the population worldwide who had anxiety disorders from 1990 to 2019, by gender. According to the data, around **** percent of males and **** percent of females suffered from an anxiety disorder as of 2019.

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.

Phobia Statistics: Living with the fear of something, just like Ron in Harry Potter was afraid of spiders is what phobia is. There are thousands of phobia types, and millions of people around the world are suffering from the disorder. The most common phobia is fear of animals and closed-in spaces. There is no actual prevention of such disorders, but they are treatable. These Phobia Statistics are written in a way to understand the current situation around the world, with well-researched and recent insights from the United States of America. If you are one of the individuals who have any type of phobia, don’t get scared, it’s okay to talk about it! Editor’s choice 40% of the people suffering from Agoraphobia are suffering from severe issues. In the United States of America, the highest number of people have a fear of animals resulting in 40%. As a result of COVID-19, and following cases of Russia and Ukraine, in the month of July 2022, there were 63% of the people globally, had a fear of relative recession. 15 million Americans are suffering from social phobia, resulting in 7.1% of adults and 5.5% of teenagers. 7% of the worldwide population is suffering from panic disorder, 1.6% of these are male and 3.8% are female. According to Phobia Statistics, there are 31.9% of adolescents aged between 13 to 18 years suffer from anxiety disorders. Women are 2 times more likely to suffer from any specific phobias than men. Specific phobias have affected 9.1% of Americans resulting in 19 million of the population. Patients with anxiety disorder are 3 to 5 times more likely to go for a doctor’s visit, while patients with psychiatric disorders are 6 times more likely to be hospitalized for a similar problem. Around the world, 3.6% of the population is suffering from post-traumatic stress disorder, out of these 1.8% are men and 5.2% are women

A survey of people from 31 different countries around the world found that mental health was the biggest health problem respondents said was facing their country in 2024. Other health problems reported by respondents included cancer, stress, and obesity. The COVID-19 pandemic The COVID-19 pandemic impacted almost every country in the world and was the biggest global health crisis in recent history. It resulted in hundreds of millions of cases and millions of deaths, causing unprecedented disruption in health care systems. Lockdowns imposed in many countries to halt the spread of the virus also resulted in a rise of mental health issues as feelings of stress, isolation, and hopelessness arose. However, vaccines to combat the virus were developed at record speed, and many countries have now vaccinated large shares of their population. Nevertheless, in 2024, ** percent of respondents still stated that COVID-19 was the biggest health problem facing their country. Mental health issues One side effect of the COVID-19 pandemic has been a focus on mental health around the world. The two most common mental health issues worldwide are anxiety disorders and depression. In 2021, it was estimated that around *** percent of the global population had an anxiety disorder, while **** percent suffered from depression. Rates of depression are higher among females than males, with some *** percent of females suffering from depression, compared to *** percent of men. However, rates of suicide in most countries are higher among men than women. One positive outcome of the COVID-19 pandemic and the spotlight it shined on mental health may be a decrease in stigma surrounding mental health issues and seeking help for such issues. This would be a positive development as many people around the world do not or cannot receive the necessary treatment they need for their mental health.

The COVID-19 pandemic significantly affected elite athletes, leading to increased mental health issues such as stress, anxiety, and depression. Sex differences in mental health may exist among athletes during the COVID-19 crisis. This study aimed to perform a systematic review and meta-analysis to examine sex differences in mental health symptoms among elite athletes during the COVID-19 pandemic. We systematically searched the databases including Pubmed, EMBASE, and manually checked previous systematic reviews for relevant studies in March 2024. Authors were also contacted for sex-specific data. Studies were included if they compared mental health symptoms between male and female elite athletes during the COVID-19 pandemic. We used a random-effects model to summarize the rate ratio (RR) between female and male athletes across studies. Risk of bias in studies was assessed using a 9-item tool. We included 18 studies in this review. The results indicated that female athletes reported higher levels of anxiety (RR 1.24, 95% CI = 1.08 to 1.43) and depression (RR 1.36, 95% CI = 1.15 to 1.61) than male athletes during the pandemic. They also had a higher risk of stress or distress (RR 1.27, 95% CI = 0.99 to 1.63) than their male counterparts. No significant differences were found regarding alcohol use or misuse between female and male athletes (RR 1.01, 95% CI = 0.75 to 1.37). Limited evidence was available for eating disorders, gambling, substance use, and sleep problems. In conclusion, female and male athletes differed in mental health symptoms during the COVID-19 pandemic. Female athletes were more likely to report anxiety, depression, and distress. Incorporating mental health resources may be particularly important for women’s sports, which have smaller financial margins and greater career uncertainty than men’s sports.

A survey of college students in the United States in 2023-2024 found that around 38 percent had symptoms of depression. Symptoms of depression vary in severity and can include a loss of interest/pleasure in things once found enjoyable, feelings of sadness and hopelessness, fatigue, changes in sleep, and thoughts of death or suicide. Mental health among college students Due to the life changes and stress that often come with attending college, mental health problems are not unusual among college students. The most common mental health problems college students have been diagnosed with are anxiety disorders and depression. Fortunately, these are two of the most treatable forms of mental illness, with psychotherapy and/or medications the most frequent means of treatment. However, barriers to access mental health services persist, with around 22 percent of college students stating that in the past year financial reasons caused them to receive fewer services for their mental or emotional health than they would have otherwise received. Depression in the United States Depression is not only a problem among college students but affects people of all ages. In 2021, around ten percent of those aged 26 to 49 years in the United States reported a major depressive episode in the past year. Depression in the United States is more prevalent among females than males, but suicide is almost four times more common among males than females. Death rates due to suicide in the U.S. have increased for both genders in the past few years, highlighting the issue of depression and other mental health disorders and the need for easy access to mental health services.

Comorbidities are seen with obsessive-compulsive disorder (OCD) across the lifespan. Neurodevelopmental comorbidities are common in young children, followed by mood, anxiety, and obsessive-compulsive related disorders (OCRDs) in children, adolescents and adults, and neurological and degenerative disorders in the elderly. Understanding comorbidity prevalence and patterns has clinical and research implications. We conducted a systematic review and meta-analysis on comorbidities in OCD across the lifespan, with the objective to, first, estimate age-wise pattern and prevalence of comorbidities with OCD and, second, to examine associations of demographic (age at assessment, gender distribution) and clinical characteristics (age of onset, illness severity) with comorbidities. Four electronic databases (PubMed, EMBASE, SCOPUS, and PsycINFO) were searched using predefined search terms for articles published between 1979 and 2020. Eligible studies, across age, reported original findings on comorbidities and had an OCD sample size of ≥100. We excluded studies that did not use standardised diagnostic assessments, or that excluded patients on the basis of comorbidity. We adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The review protocol has been registered on the International Prospective Register of Systematic Reviews. A comorbidity rate of 69% was found in a pooled sample of more than 15,000 individuals. Mood disorders (major depressive disorder), anxiety disorders (generalised anxiety disorder), neurodevelopmental disorders (NDDs) and OCRDs were the commonest comorbidities. Anxiety disorders prevailed in children, mood disorders in adults, whereas NDDs were similarly prevalent. Higher comorbidity with any psychiatric illness, NDDs, and severe mental disorders was seen in males, vs. females. Illness severity was inversely associated with rates for panic disorder, tic disorders, OCRDs, obsessive compulsive personality disorder, and anorexia nervosa. This systematic review and meta-analysis provides base rates for comorbidities in OCD across the lifespan. This has implications for comprehensive clinical evaluation and management planning. The high variability in comorbidity rates suggests the need for quality, multi-centric, large studies, using prospective designs.Systematic Review Registration: Unique Identifier: CRD42020215904.

A survey carried out in 2022 (no) found that females were more likely to self report having moderate to extremely severe symptoms of mental health conditions such as stress, anxiety, or depression. That year, around ** percent of female respondents reported symptoms of stress, while the share of men with stress-related symptoms was ** percent. This statistic shows the percentage of people who reported moderate to extremely severe symptoms of mental health conditions in 2022 (no), by gender.

Across all surveyed age groups, females living in Australia were more likely than males to have a 12-month anxiety disorder in the 2021 financial year. The highest rates of anxiety disorders were experienced by young people aged 16-24 years.

This statistic displays the prevalence of anxiety disorders among young people in England in 2017, by gender. In this year, females aged between 5 and 19 years were more likely to be affected by anxiety disorders than males of the same age, with almost two percent of girls diagnosed with body dysmorphic disorder.

In 2019, around 19 percent of female adults in the United States reported having anxiety in the past two weeks, compared to around 12 percent of male adults. This statistic illustrates the percentage of adults in the United States who experienced symptoms of anxiety in the past two weeks as of 2019, by gender and severity.

It was estimated that in 2018 roughly 31 million men in the United States suffered from an anxiety disorder. The statistic illustrates the number of lifetime prevalent cases of anxiety disorders among adults in select countries worldwide in 2018, by gender.

Anxiety disorders are prevalent among people living with Human Immunodeficiency Virus (HIV) globally, but data on the prevalence and factors associated with this mental illness are limited among HIV patients on antiretroviral therapy (ART) in Kenya. This study determined the prevalence and correlates of anxiety disorder among HIV patients receiving care and treatment at the Comprehensive Care Clinic (CCC) in Mbagathi Hospital in Nairobi, Kenya. This was a cross-sectional study where 205 eligible and consenting participants were systematically enrolled. The Beck Anxiety Inventory (BAI) Questionnaire was used to assess anxiety levels, with a score of 8 or more indicating moderate to severe anxiety. Structured questionnaires were used to collect information on factors associated with anxiety disorder. Descriptive statistics and logistic regression models were used to analyze data. Of the enrolled 205 patients, 122 (59.5%) were female. The median age and household size were 49 years (Interquartile range IQR 39–54) and 3 people (IQR 2–3) respectively. A large proportion of the participants, 169 (82.4%) were on the first-line ART regimen and the median duration on ART was 13 years (IQR 7–18). Nearly a third of the participants 60 (29.3%) had anxiety disorder. Male participants (adjusted odds ratio—aOR 0.33; 95% confidence interval—CI 0.13–0.78) were less likely to have anxiety disorder. Self-employment (aOR 5.57; 95% CI 2.17–20.06), larger households (aOR 1.48; 95%CI 1.11–2.03) and no history of tuberculosis infection (aOR 2.9; 95% CI; 1.29–6.96) were factors associated with having anxiety disorder. Among PLHIV receiving ART in Nairobi County, Kenya, there is a considerable burden of anxiety disorder which was associated with gender, occupation, household population size and history of tuberculosis infection.

ObjectivesMindfulness-Based (non-contact) Boxing Therapy (MBBT) is a novel intervention designed to empower and promote self-agency through behavioral interventions, while reducing barriers to exercise for individuals with mental disorders. MBBT is an instructor-led, manualized, non-contact boxing group-exercise program (delivered in 90 min sessions, twice a week, over 10 weeks) that blends principles of mindfulness, meditation and group therapy. The current study tested the acceptability and feasibility of delivering MBBT to adults with major depressive disorder (MDD) or generalized anxiety disorder (GAD).MethodsNine adult outpatients with MDD or GAD were recruited from a psychiatric outpatient clinic in Toronto, Canada in a 10-week feasibility trial of MBBT using a pre-post design. Feasibility was assessed through recruitment and retention rates, while acceptability was assessed through the CSQ-8, and self-questionnaires. Secondary clinical outcomes included the PHQ-9, GAD-7, K10, CGI, and MAAS. Trial registry: ISRCTN23023309.ResultsEight participants (5 female, 3 male) were included in the final analysis. Results indicated a high user retention (89%), attendance (84%), and satisfaction (98%). The study observed a statistically significant mean percent reduction in depression (54%), anxiety (51%) and distress (36%), alongside a mean percent increase in mindfulness (79%). Post intervention qualitative feedback from participants revealed themes of inclusivity and accessibility, cathartic release and control of emotions, improved self-esteem and confidence, self-agency, community, and trust in leadership.ConclusionsGiven the limitation of the study, MBBT appeared to be feasible and acceptable as an exercise/behavioural intervention. Further well-designed randomized clinical trials are warranted to confirm the clinical benefits of MBBT.

As of October 2021, women had the highest share of mental health disorders in India, amounting to ** percent and ** percent for stress and anxiety health disorder respectively. Comparatively, ** percent of men had depression as compared to women with ** percent during the same time period.

It has been predicted that by the year 2020 total U.S. expenditure on mental health services will reach some 238 billion dollars. Mental health remains a relevant and difficult issue in the United States. Common mental disorders in the U.S. include anxiety disorders, depression, bipolar disorder, obsessive compulsive disorder (OCD), and dementia. As of 2017, around 15 percent of males and 22 percent of females reported some mental illness in the past year.

Depression

Depression is one of the most common and well-known mental disorders. Depression is a severe mood disorder marked by extended and persistent feelings of sadness, anxiety, hopelessness, irritability, worthlessness, hopelessness and a loss of interest in hobbies and activities. It is estimated that around 8 percent of adults in the U.S. suffer from depression. Depression is more common among women than men, with around 9.3 percent of women suffering from depression, compared to 5.4 percent of men.

Treatment

Mental health disorders are usually treated through therapy, medication, or a combination of both, depending on the disorder and severity. Access to quality and inexpensive mental health treatment is essential, but often lacking. As of 2017, the United States had around 11,582 mental health treatment facilities. However, it has been found that around 42 percent of adults with an unmet need for mental health care stated they did not receive mental health services in the past year because they could not afford the cost.

ObjectiveThe aim of our study was to delineate the differences in demographics, comorbidities, and hospital outcomes by eating disorder types in adolescents and transitional-age youth (15–26 years), and measure the association with psychiatric comorbidities.MethodsWe conducted a cross-sectional study using the nationwide inpatient sample (2018–2019) and included 7,435 inpatients (age 12–24 years) with a primary diagnosis of eating disorders: anorexia nervosa (AN, 71.7%), bulimia nervosa (BN, 4.7%), avoidant/restrictive food intake disorder (ARFID, 9.5%), and other. We used independent logistic regression models controlled for demographics to evaluate the adjusted odds ratio association of comorbidities with eating disorder types.ResultsThe mean age of BN inpatients was 17.5 years, which was significantly higher compared to the total number of inpatients with eating disorders (15.9 years). Approximately four-fifths of the inpatients with AN and BN were female patients whereas ARFID was seen in a higher proportion of male patients (32.6% vs. 13.7% overall). Anxiety (57.5%) and depressive (47.3%) disorders were prevalent in the total number of inpatients with eating disorders, with suicidal behaviors seen significantly higher in BN (25.7% vs. 12.9% overall). The likelihood of obsessive compulsive–related disorder was higher in all eating disorder types, i.e., AN (OR 2.14), BN (OR 1.79), and ARFID (OR 1.74); however, anxiety (OR 1.52) and neurodevelopmental (OR 1.70) disorders were significantly higher in ARFID. In terms of hospital outcomes, inpatients with ARFID had a longer mean length of stay (13.7 days vs. 8.4 days in BN) and higher mean total charges ($87,747 vs. $44,882 in BN).ConclusionOur findings identify notable demographic and clinical distinctions within inpatients diagnosed with AN, BN, and ARFID. Specifically, inpatients with BN belonging to older age brackets manifest elevated occurrences of depressive disorders and suicidal tendencies. ARFID is linked to prolonged hospitalization and increased costs, underscoring distinctive complexities in care. This highlights the significance of personalized interventions that account for demographic variations and psychiatric comorbidities, aiming to improve outcomes for diverse populations affected by eating disorders.

Background: The Coronavirus disease (COVID-19) has emphasised the critical need to investigate the mental well-being of healthcare professionals working during the pandemic. It has been highlighted that healthcare professionals display a higher prevalence of mental distress and research has largely focused on frontline professions. Social restrictions were enforced during the pandemic that caused rapid changes to the working environment (both clinically and remotely). The present study aims to examine the mental health of a variety of healthcare professionals, comparing overall mental wellbeing in both frontline and non-frontline professionals and the effect of the working environment on mental health outcomes.

Method: A cross-sectional mixed methods design, conducted through an online questionnaire. Demographic information was optional but participants were required to complete: (a) Patient Health Questionnaire, (b) Generalised Anxiety Disorder, (c) Perceived Stress Scale, and (d) Copenhagen Burnout Inventory. The questionnaire included one open-ended question regarding challenges experienced working during the pandemic.

Procedure:
Upon ethical approval the online questionnaire was advertised for six weeks from 1st May 2021 to 12th June 2021 to maximise the total number of respondents able to partake. The survey was hosted on the survey platform “Online Surveys”. It was not possible to determine a response rate because identifying how many people had received the link was unattainable information. The advert for the study was placed on social media platforms (WhatsApp, Instagram, Facebook and Twitter) and shared through emails.

Participants were recruited through the researchers’ existing professional networks and they shared the advertisement and link to questionnaire with colleagues. The information page explained the purpose of the study, eligibility criteria, procedure, costs and benefits of partaking and data storage. Participants were made aware on the information page that completing and submitting the questionnaire indicated their informed consent. It was not possible to submit complete questionnaires unless blank responses were optional demographic data. Participants were informed that completed questionnaires could not be withdrawn due to anonymity.

The questionnaire consisted of four sections: demographic data, mental health information and the four psychometric tools, PHQ-9, GAD-7, PSS-10 and CBI. Due to the sensitive nature of this research, only the psychometric measures required an answer for each question, thus all demographic information was optional to encourage participant contentment. Once participants had completed the questionnaire and submitted, they were automatically taken to a debrief page. This revealed the hypothesis of the questionnaire and rationalised why it was necessary to conceal this prior to completion. Participants were signposted to mental health charities and a self-referral form for psychological support. Participants could contact the researcher via email to express an interest in the results. It was explained that findings would be analysed using descriptive statistics to investigate any correlations or patterns in the responses. Data collected was stored electronically, on a password protected laptop. It will be kept for three years and then destroyed.

Instruments: PHQ-9, GAD-7, PSS-10 and CBI.

Other questions included:

Thank you for considering taking part in the questionnaire! Please remember by completing and submitting the questionnaire you are giving your informed consent to participate in this study.

Demographic:

Gender: please select one of the following:

Male Female Non-binary Prefer not to answer

Age: what is your age?

Open question: Prefer not to answer

What is your current region in the UK?

South West, East of England, South East, East Midlands, Yorkshire and the Humber, North West, West Midlands, North East, London, Scotland, Wales, Northern Ireland Prefer not to answer

Ethnicity: please select one of the following:

White English, Welsh, Scottish, Northern Irish or British Irish Gypsy or Irish Traveller Any other White background Mixed or Multiple ethnic groups White and Black Caribbean White and Black African White and Asian Any other Mixed or Multiple ethnic background Asian or Asian British Indian Pakistani Bangladeshi Chinese Any other Asian background Black, African, Caribbean or Black British African Caribbean Any other Black, African or Caribbean background Other ethnic group Arab Option for other please specify Prefer not to answer

Employment/environment:

What was your employment status in 2020 prior to COVID-19 pandemic?

Please select the option that best applies. Employed Self-employed Unpaid work (homemaker/carer) Out of work and looking for work Out of work but not currently looking for work Student Volunteer Retired Unable to work Prefer not to answer Option for other please specify

What is your current employment status?

Please tick the option that best applies. Employed Self-employed Unpaid work (homemaker/carer) Out of work and looking for work Out of work but not currently looking for work Student Volunteer Retired Unable to work Prefer not to answer Option for other please specify

What is your healthcare profession/helping profession?

Please state your job title. Open question

How often did you work from home before the COVID-19 pandemic?

Not at all, rarely, some, most, everyday Option for N/A

How often did you work from home during the first UK national lockdown for COVID-19?

Not at all, rarely, some, most, everyday Option for N/A

How often did you work from home during the second UK national lockdown during COVID-19?

Not at all, rarely, some, most, everyday Option for N/A

How often have you worked from home during the third UK national lockdown during COVID-19?

Not at all, rarely, some, most, everyday Option for N/A

How often are you currently working from home during the COVID-19 pandemic?

Not at all, rarely, some, most, everyday Option for N/A

Mental health:

How would you describe your mental health leading up to the COVID-19 pandemic?

Excellent, Very good, Good, Fair, Poor

How would you describe your mental health during the COVID-19 pandemic?

Excellent, Very good, Good, Fair, Poor

What have been the main challenges working as a healthcare professional/helping profession during COVID-19 pandemic? Open question

Data analysis: Firstly, any missing data was checked by the researcher and noted in the results section. The data was then analysed using a statistical software package called Statistical Package for the Social Sciences version 28 (SPSS-28). Descriptive statistics were collected to organise and summarise the data, and a correlation coefficient describes the strength and direction of the relationship between two variables. Inferential statistics were used to determine whether the effects were statistically significant. Responses to the open-ended question were coded and examined for key themes and patterns utilising the Braun and Clarke (2006) thematic analysis approach.

Ethical considerations: The study was approved by the Health Science, Engineering and Technology Ethical Committee with Delegated Authority at the University of Hertfordshire.

The potential benefits and risks of partaking in the research were contemplated and presented on the information page to promote informed consent. Precautions to prevent harm to participants included eligibility criteria, excluding those under eighteen years older or experiencing mental health distress. As the questionnaire was based around employment and the working environment, another exclusion involved experiencing a recent job change which caused upset.

An anonymous questionnaire and optional input of demographic data fostered the participants’ right to autonomy, privacy and respect. Specific employment and organisation or company information were not collected to protect confidentiality. Although participants were initially deceived regarding the hypotheses, they were provided with accurate information about the purpose of the study. Deceit was appropriate to collect unbiased information and participants were subsequently informed of the hypotheses on the debrief page.

University students frequently deal with different psychological changes in addition to coping with stressful academic and social obligations due to the facilities’ environment, structure, and functions. This makes students more likely to experience depression, an eminent problem in today’s world and particularly common among university studentsThe objective of this study was to evaluate the frequency of depression among university students in the Khulna region, taking into consideration the common symptoms of depression that occur with the transition from high school to university. The research involved a sample size of 1000 students representing from four universities located in the Khulna region. The random walk sampling technique was used for both sample selection and data collection. The Patient Health Questionnaire-9 was used to evaluate symptoms of depression. Descriptive statistics, chi-square followed by binary logistics regression were used to identify the associated factor contributing to the depression of the students. The findings show that 68% of students reported having moderate to severe depression, with female students reporting heightened rates (71.7%) than male students (62%). Binary logistic regression analysis results revealed that average and good result students reported depression difficulties that were 2.16 (95% CI 1.11-4.18) and 2.04 (95% CI 1.05-3.97) times greater than those of exceptional result students, respectively. The study finds an unusually high prevalence of depression among university students in the Khulna region. Further study should be conducted on the intricate factor such as anxiety, eating disorder, academic stress and social capital to better understand the overall factors responsible for this high prevalence of depression. Undoubtedly, there is a need to take immediate action to address and reduce the depression among university students through co-design approach.

The most common method of suicide among veterans in the United States is by firearm. Although this is true for both men and women who served in the military, suicide by firearm is more common among men, accounting for 75 percent of all suicide deaths. Given the strenuous and stressful nature of military work, and the trauma that can result from combat and serving in the military, mental health is a continuous problem among veterans. Suicide among veterans It is estimated that around 7.6 percent of veterans in the United States aged 18 to 49 have had serious thoughts of suicide, while 1.4 percent have made suicide plans, and .04 percent have attempted suicide. Recent surveys have indicated that veterans are much more likely to report considering taking their own life after joining the military compared to before joining. In 2021, around 44 percent of surveyed veterans stated they considered taking their own life since joining the military, with only nine percent saying they considered doing so before joining. Common mental health problems among veterans Some of the most common health problems reported during military service by veterans and active service military members include sleep problems, anxiety, depression, and post-traumatic stress disorder (PTSD). A survey from 2023 found that around three quarters of veteran and active service respondents who incurred a physical or mental injury, illness, or wound while serving in the military on or after September 11, 2001, reported experiencing PTSD. Health care for veterans in the United States is provided by the Department of Veterans Affairs (VA), which also provides mental health care. VA mental health professionals are the leading resource used for veterans with a service-connected mental health injury, followed by civilian (non-VA) mental health professionals and vet center counselors.