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Impact of Music on Mental Health Dataset
Public Health & Epidemiology
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About
Insights into individual music preferences and self-reported mental health information are provided, encompassing various streaming services, music genres, and the frequency of mental health conditions such as anxiety, depression, insomnia, and obsessive-compulsive disorder (OCD).
Features:
- Timestamp: Date and time when the survey response was submitted.
- Age: Age of the respondent.
- Primary Streaming Service: The main streaming platform used by the respondent (e.g., Spotify, Apple Music).
- Hours per Day Spent Listening: Average number of hours per day spent listening to music.
- Listening While Working: Indicates if the respondent listens to music while working (Yes/No).
- Instrumentalist: Whether the respondent plays a musical instrument (Yes/No).
- Composer: Whether the respondent composes music (Yes/No).
- Favorite Genre: Respondent's favorite music genre (e.g., Classical, Rock, Pop).
- Exploratory Listening Habits: Frequency with which the respondent seeks out new or unfamiliar music.
- Preferred Foreign Language Music: Whether the respondent listens to music in languages other than their primary language.
- Beats per Minute (BPM): Average BPM of the music the respondent typically listens to.
- Frequency of Listening to Various Genres: Frequency ratings for genres such as Classical, Rock, Pop, Jazz, etc.
- Self-reported Levels of Anxiety, Depression, Insomnia, and OCD: Respondent's self-assessed levels of specific mental health conditions.
- Music Effects on Mood: Respondent's perception of how music influences their mood.
Usage:
The dataset can be used for analyzing potential correlations between music preferences and mental health indicators. Researchers or therapists might use this to study the impact of music therapy, while businesses can target their streaming services more effectively based on listening habits and user demographics.
Coverage:
The survey includes respondents of all ages and covers multiple music streaming platforms, genres, and mental health data points.
License:
CC0 (Public Domain)
Who can use it:
Researchers, music therapists, and streaming service companies can utilize this dataset to better understand music consumption and its psychological effects.
How to use it:
The dataset could be used to explore music preferences and their potential impacts on mental health. This can provide insights for therapeutic practices, business strategies for streaming services, or general studies on music's influence on well-being.
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