Student Smoking, Alcohol, and Psychological Wellness Data
Description
This dataset consists of 706 responses and 14 columns (features), focusing on the relationship between smoking, alcohol consumption, and psychological wellness among university students. It includes self-reported data on smoking and drinking habits, coping mechanisms, mental health, and help-seeking behaviors. The survey was designed to capture insights into how these behaviors impact students' overall well-being. Data Collection: The data was collected through an online survey administered via Google Forms in [month/year]. Respondents provided information about their lifestyle habits, reasons for engaging in these behaviors, and their psychological wellness. Key Features: 1. Demographics: Age, year of study, and field of study. 2. Smoking Habits: Frequency of smoking, age of starting, and reasons for smoking. 3. Alcohol Consumption: Frequency of alcohol use, typical weekly intake, and reasons for drinking. 4. Stress Management: Methods for coping with stress, including smoking and alcohol. 5. Mental Health: Self-reported psychological wellness and willingness to reduce or quit smoking and drinking. 6. Help-Seeking Behavior: Responses regarding help-seeking for mental health concerns. This dataset can be used for: 1. Machine learning analysis to model and predict psychological wellness based on lifestyle behaviors. 2. Statistical studies on the interplay between smoking, alcohol, and mental health. 3. Development of intervention strategies to improve student well-being and reduce harmful habits. Format: The dataset contains 14 columns with categorical, ordinal, and numerical data. It is formatted for ease of analysis and ready for use in statistical and machine learning applications.