Student Mental
Frequency of experiencing depression, anxiety, feelings of isolation,insecurity.
@kaggle.willianoliveiragibin_student_mental
Frequency of experiencing depression, anxiety, feelings of isolation,insecurity.
@kaggle.willianoliveiragibin_student_mental
This dataset provides comprehensive demographic and academic insights, encompassing a diverse range of variables relevant to student well-being, mental health, and academic success. Key demographic details include gender, age, and university affiliation, helping to create a foundation for understanding the student population. Academic factors are detailed through degree level, major, academic year, and current CGPA, offering a clear snapshot of the academic performance and trajectory of students across various fields of study.
In addition to these core academic variables, the dataset also explores students' residential status, providing information on whether they reside on or off-campus. This is particularly valuable in examining how different living arrangements may impact students' experiences and well-being. The dataset also captures important personal experiences related to discrimination, harassment, or bullying within the campus environment. These experiences are critical for researchers looking to understand how adverse social encounters may contribute to mental health challenges or affect academic success.
Lifestyle factors are carefully integrated into the dataset, offering insight into how often students engage in physical activities such as sports and the average number of sleep hours per night. These factors are known to significantly impact both physical and mental health, thus providing important context for understanding student well-being. Students’ satisfaction with their chosen field of study and their perception of the academic workload are also examined, giving researchers insight into how passion for a subject and perceived academic pressure influence students' overall happiness and engagement.
The dataset also addresses significant stressors faced by students, including academic pressure, financial concerns, and the quality of social relationships on campus. Financial worries can be a major burden, potentially affecting not only academic performance but also mental health. Similarly, the quality of social relationships—whether supportive or strained—plays a crucial role in students' emotional and psychological well-being.
One of the most important aspects of the dataset is its inclusion of mental health indicators. It records the frequency of students experiencing depression, anxiety, feelings of isolation, and insecurity about their future. These metrics are invaluable for understanding the mental health landscape of the student body, enabling policymakers and institutions to identify trends, vulnerable groups, and potential areas for intervention. Alongside these challenges, the dataset also highlights activities students engage in to relieve stress, offering insight into coping mechanisms and their effectiveness.
Overall, this dataset provides a rich source of information for researchers and policymakers interested in the intersection of student well-being, mental health, and academic success. The data can be used to inform interventions aimed at improving student support services, enhancing mental health resources, and promoting a healthier, more inclusive campus environment.
CREATE TABLE mentalhealthsurvey_new (
"gender" VARCHAR,
"age" BIGINT,
"university" VARCHAR,
"degree_level" VARCHAR,
"degree_major" VARCHAR,
"academic_year" VARCHAR,
"cgpa" VARCHAR,
"residential_status" VARCHAR,
"campus_discrimination" VARCHAR,
"sports_engagement" VARCHAR,
"average_sleep" VARCHAR,
"study_satisfaction" BIGINT,
"academic_workload" BIGINT,
"academic_pressure" BIGINT,
"financial_concerns" BIGINT,
"social_relationships" BIGINT,
"depression" BIGINT,
"anxiety" BIGINT,
"isolation" BIGINT,
"future_insecurity" BIGINT,
"stress_relief_activities" VARCHAR
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