In the United States around 22 percent of college or university students reported that in the past year, they could not use mental health services that they otherwise would have received due to financial reasons and 24 percent of students reported that they did not have enough time for such services. This statistic shows the percentage of college students experiencing barriers to mental health services in the United States in 2023-2024.

Student Mental Health Survey

Key aspects covered in the dataset include:

• Demographic details such as gender, age, and university.
• Academic details like degree level, major, academic year, and current CGPA.
• Student's residential status and experiences with discrimination, harassment, or bullying on campus.
• Student's lifestyle factors include frequency of sports engagement and average sleep hours per night.
• Student's satisfaction with their field of study and their perception of academic workload.
• Addressing the academic pressure, financial concerns, and the quality of social relationships on campus.
• Frequency of experiencing depression, anxiety, feelings of isolation, and insecurity about the future.
• Activities that students engage in to relieve stress.

This dataset is valuable for researchers, and policymakers interested in student well-being, mental health, and academic success.

This dataset appears to contain a variety of features related to text analysis, sentiment analysis, and psychological indicators, likely derived from posts or text data. Some features include readability indices such as Automated Readability Index (ARI), Coleman Liau Index, and Flesch-Kincaid Grade Level, as well as sentiment analysis scores like sentiment compound, negative, neutral, and positive scores. Additionally, there are features related to psychological aspects such as economic stress, isolation, substance use, and domestic stress. The dataset seems to cover a wide range of linguistic, psychological, and behavioural attributes, potentially suitable for analyzing mental health-related topics in online communities or text data.

Benefits of using this dataset:

• Insight into Mental Health: The dataset provides valuable insights into mental health by analyzing linguistic patterns, sentiment, and psychological indicators in text data. Researchers and data scientists can gain a better understanding of how mental health issues manifest in online communication.
• Predictive Modeling: With a wide range of features, including sentiment analysis scores and psychological indicators, the dataset offers opportunities for developing predictive models to identify or predict mental health outcomes based on textual data. This can be useful for early intervention and support.
• Community Engagement: Mental health is a topic of increasing importance, and this dataset can foster community engagement on platforms like Kaggle. Data enthusiasts, researchers, and mental health professionals can collaborate to analyze the data and develop solutions to address mental health challenges.
• Data-driven Insights: By analyzing the dataset, users can uncover correlations and patterns between linguistic features, sentiment, and mental health indicators. These insights can inform interventions, policies, and support systems aimed at promoting mental well-being.
• Educational Resource: The dataset can serve as a valuable educational resource for teaching and learning about mental health analytics, sentiment analysis, and text mining techniques. It provides a real-world dataset for students and practitioners to apply data science skills in a meaningful context.

The primary mental health concern of college students in the United States, as reported by mental health clinicians, for the academic school year 2023-2024 was anxiety. Around 24.4 percent of mental health clinicians stated anxiety was the top concern of their college student patients, followed by 13.3 percent who reported depression as the top concern. Relationship problems, stress, and family problems are also some of the leading mental health concerns among U.S. college students. At that same time, a total of 38 percent of college students reported having depression symptoms. Anxiety & depression Anxiety is the body’s response to stress regarding future uncertainty, and it can develop into a disorder if it starts interfering with daily activities, such as causing panic attacks or phobias. Depression is a constant feeling of sadness and a loss of interest, that may lead to extreme tiredness, loss of energy and motivation, and can cause difficulty in concentrating. As of 2021, around 31 percent of college students in the United States had been diagnosed with anxiety disorder, while around 27 percent had been diagnosed with depression or other mood disorders. Mental health treatment There are different treatment options for mental health issues depending on the severity of the problem, but therapy and medication remain the most common treatment options in the United States. In the academic school year 2021-2022, around 35 percent of college students in the U.S. who received mental health services took medication for their mental health concerns. Furthermore, almost nine percent of students who received mental health services had been hospitalized for their mental health concerns.

This dataset comprises mental health data from 1977 Bangladeshi university students across 15 top universities, collected from November to December 2023 using Google Forms. It includes assessments of academic anxiety, stress, and depression using widely used psychometric scales. The structured questionnaire covers sociodemographic variables and their associations, facilitating comprehensive analysis. Statistical analysis yielded satisfactory internal consistency (Cronbach’s alpha: 0.79), with anonymized participant data valuable for policymakers.

This is the dataset derived from the sistematic review describes at https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=330361

This dataset relates to a study looking at the correlation between undergraduate student mental health and work-life balance. It was found that work-life balance is a strong predictor of student anxiety and depression. It was also found that students that work longer hours have higher instances of anxiety. This was a primary research study replicating previously performed research. Data were collected using Qualtrix, an online survey platform. Participants were recruited via in-class announcements, university sponsored emails, and social media posts. Data includes demographics on participants, descriptive statistics, as well as correlation data.

This application provided a way for the public to explore and analyze VA Mental Health Statistics (FY2015 Annual Datasheet).

In Spring 2020, around 40.9 percent of college students in the United States reported having depression, compared to 35.7 percent in Fall 2019. This statistic illustrates the prevalence of select mental health and substance use issues among college students in the United States in Fall 2019 and Spring 2020.

Among U.S. college and university students, 25 percent strongly agreed that they knew where to go for on-campus professional mental health services. This statistic shows the percentage of postsecondary students with knowledge of on-campus mental health resources in the United States in 2023-2024.

ABSTRACT Introduction The isolation policy caused by COVID-19 is plaguing physical exercise behavior, which seems to affect college students’ physical and mental health. Objective Understand the current situation of college students’ exercise behavior during COVID-19, analyzing the physical and mental health status to provide policy guidance on formulating appropriate exercise behavior for college students in the context of the epidemic. Methods 250 students from 20 colleges and universities in China were randomly selected as observation volunteers. The adherents’ exercise-related behavior and physical and mental health were observed and analyzed by questionnaire, and subsequently evaluated according to statistical methods. Results The results showed that exercise motivation, exercise frequency, exercise duration, and exercise items of the surveyed individuals affected the physical and mental health of college students; these effects were statistically significant (p

This is a subset of data extracted from a larger data set on studnent wellness and wellbeing collected in November 2018 at a small liberal arts university in Northern California. The variables used in our manuscript submitted for publication are included in this file.

The University Student Mental Health data was gathered during the fall of 2020. This online survey included sections on demographics, mental health, changes in mental health during the pandemic, self-care habits (sleep, exercise, emotion regulation, social support, and mindfulness), and both recreation (athletics partying, games, and watching online videos) and academic hobbies (studying, participating in academic organizations, attending office hours, and using educational resources).

Historical Dataset of Mendota Mental Health Institution is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2003-2023),Total Classroom Teachers Trends Over Years (2002-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (2002-2023),American Indian Student Percentage Comparison Over Years (2003-2018),Asian Student Percentage Comparison Over Years (2001-2009),Hispanic Student Percentage Comparison Over Years (2001-2022),Black Student Percentage Comparison Over Years (2003-2023),White Student Percentage Comparison Over Years (2003-2023),Two or More Races Student Percentage Comparison Over Years (2017-2023),Diversity Score Comparison Over Years (2003-2023)

Historical Dataset of Mobile Mental Health Center is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (2009-2023),Distribution of Students By Grade Trends,Hispanic Student Percentage Comparison Over Years (2009-2021),Black Student Percentage Comparison Over Years (2009-2023),White Student Percentage Comparison Over Years (2009-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Diversity Score Comparison Over Years (2009-2023),Free Lunch Eligibility Comparison Over Years (2009-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2008-2015),Reading and Language Arts Proficiency Comparison Over Years (2010-2022),Math Proficiency Comparison Over Years (2010-2022),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2010-2022)

Cognitive behavioral therapy is an effective treatment for improving mental health problems among university students. However, intervention components have different effects on mental health problems. This paper is a meta-analysis of the data concerning the relationship between cognitive behavioral variables and mental health status among university students. A total of 4 electronic databases were reviewed, and 1,227 articles met the initial selection criteria. Reviewers applied standardized coding schemes to extract the correlational relationship between cognitive behavioral variables and mental health status. A total of 54 articles were included in the meta-analysis. Correlations were found for three cognitive behavioral variables (attention, thought, and behavior) across nine mental health domains (negative affect, positive affect, happiness, social function, stress response, psychological symptom, quality of life, well-being, and general health). Across each cognitive behavioral process and all mental health domains, the estimated mean correlation is modest (.29 - .41), and the correlation depended on the domain of mental health.

The U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of Covid-19 on American households. The Household Pulse Survey was designed to gauge the impact of the pandemic on employment status, consumer spending, food security, housing, education disruptions, and dimensions of physical and mental wellness. The survey was designed to meet the goal of accurate and timely weekly estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, gender, race and ethnicity, and educational attainment. All estimates shown meet the NCHS Data Presentation Standards for Proportions.

As of 2023, ************** of North American undergraduate students reported struggling more with burnout in the post-pandemic period. Other significant mental health concerns included COVID-related issues, ADHD, depression, and anxiety, each concerning at least ** percent of students in North America.

Between 2023 to 2024, around ** percent of college and university students who received mental health services took medication for their mental health concerns. This statistic shows the percentage of college and university students in the U.S. who received mental health services who took medication for mental health concerns from 2010 to 2024.

When the COVID-19 pandemic began, U.S. college students reported increased anxiety and depression. This study examines mental health among U.S college students during the subsequent 2020–2021 academic year by surveying students at the end of the fall 2020 and the spring 2021 semesters. Our data provide cross-sectional snapshots and longitudinal changes. Both surveys included the PSS, GAD-7, PHQ-8, questions about students’ academic experiences and sense of belonging in online, in-person, and hybrid classes, and additional questions regarding behaviors, living circumstances, and demographics. The spring 2021 study included a larger, stratified sample of eight demographic groups, and we added scales to examine relationships between mental health and students’ perceptions of their universities’ COVID-19 policies. Our results show higher-than-normal frequencies of mental health struggles throughout the 2020–2021 academic year, and these were substantially higher for female college students, but by spring 2021, the levels did not vary substantially by race/ethnicity, living circumstances, vaccination status, or perceptions of university COVID-19 policies. Mental health struggles inversely correlated with scales of academic and non-academic experiences, but the struggles positively correlated with time on social media. In both semesters, students reported more positive experiences with in-person classes, though all class types were rated higher in the spring semester, indicating improvements in college students’ course experiences as the pandemic continued. Furthermore, our longitudinal data indicate the persistence of mental health struggles across semesters. Overall, these studies show factors that contributed to mental health challenges among college students as the pandemic continued.