Depression and Lifestyle Dataset

Features

• Name: Full name of the individual.
• Age: Individual’s age in years.
• Marital Status: Relationship status; values include Single, Married, Divorced, and Widowed.
• Education Level: Highest education achieved, including High School, Associate Degree, Bachelor’s, Master’s, and PhD.
• Number of Children: Count of children the individual has.
• Smoking Status: Indicates smoking behavior; options include Smoker, Former Smoker, and Non-Smoker.
• Physical Activity Level: Categorizes physical activity levels as Sedentary, Moderate, or Active.
• Employment Status: Reflects whether the individual is employed or unemployed.
• Income: Annual income in USD, reflecting socio-economic background.
• Alcohol Consumption: Classified into Low, Moderate, or High consumption levels.
• Dietary Habits: Reflects eating patterns as Healthy, Moderate, or Unhealthy.
• Sleep Patterns: Sleep quality, categorized as Good, Fair, or Poor.
• Mental Health History: History of mental illness; values include Yes and No.
• Substance Abuse History: Whether the individual has a past of substance abuse.
• Family History of Depression: Indicates a family history of depression, a potential risk factor.
• Chronic Medical Conditions: Whether the individual has chronic health conditions.

Extended Features

• Social Support Network: Measures the strength of the individual’s social relationships and support systems.
• Access to Healthcare: Indicates the individual’s accessibility to mental and physical healthcare.
• Stress Levels: Self-reported stress levels; options include Low, Moderate, and High.
• Coping Mechanisms: Lists common coping strategies for stress and mental health management.

Usage

This enhanced dataset enables researchers and healthcare analysts to assess the connections between lifestyle, mental health, and socio-economic factors, and is useful for tasks like predictive analytics, social determinants research, and mental health policy development.