Abstract Is engaging with music good for your mental health? This question has long been the topic of empirical clinical and nonclinical investigations, with studies indicating positive associations between music engagement and quality of life, reduced depression or anxiety symptoms, and less frequent substance use. However, many earlier investigations were limited by small populations and methodological limitations, and it has also been suggested that aspects of music engagement may even be associated with worse mental health outcomes. The purpose of this scoping review is first to summarize the existing state of music engagement and mental health studies, identifying their strengths and weaknesses. We focus on broad domains of mental health diagnoses including internalizing psychopathology (e.g., depression and anxiety symptoms and diagnoses), externalizing psychopathology (e.g., substance use), and thought disorders (e.g., schizophrenia). Second, we propose a theoretical model to inform future work that describes the importance of simultaneously considering music-mental health associations at the levels of (1) correlated genetic and/or environmental influences vs. (bi)directional associations, (2) interactions with genetic risk factors, (3) treatment efficacy, and (4) mediation through brain structure and function. Finally, we describe how recent advances in large-scale data collection, including genetic, neuroimaging, and electronic health record studies, allow for a more rigorous examination of these associations that can also elucidate their neurobiological substrates.
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Towards Quantifying the Strength of Music Scenes Using Live Event Data
There are many benefits for a community when there is a vibrant local music scene (e.g., increased mental & physical well-being, increased economic activity) and there are many factors that contribute to an environment in which a live music scene can thrive (e.g., available performance spaces, helpful government policies). In this paper, we explore using an estimate of the live music event rate (LMER) as a rough indicator to measure the strength of a local music scene. We define LMER as the number of music shows per 100,000 people per year and then explore how this indicator is (or is not) correlated with 28 other socioeconomic indicators. To do this, we analyze a set of 308,051 music events from 2019 across 1,139 cities in the United States. Our findings reveal that factors related to transportation (e.g., high walkability), population (high density), economics (high employment rate), age (high proportion of individuals age 20-29), and education (bachelor's degree or higher) are strongly correlated with having a high number of live music events. Conversely, we did not find statistically significant evidence that other indica- tors (e.g., racial diversity) are correlated.
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- Award ID(s):
- 1901330
- PAR ID:
- 10435999
- Date Published:
- Journal Name:
- International Society for Music Information Retrieval Conference
- Page Range / eLocation ID:
- 583-590
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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