Journal article
Examining associations of mindfulness with early-life trauma and risky health behaviors using a network analysis approach in a sample of U.S. college students
Journal of contextual behavioral science, Vol.37, 100917
07/2025
DOI: 10.1016/j.jcbs.2025.100917
PMCID: PMC12288842
PMID: 40718019
Abstract
•Network analysis allows for understanding of complex relationships among variables•Network analysis was used for mindfulness, early-life trauma, and risky health behaviors•Act with Awareness and Nonjudgment are central mindfulness facets•Drug Use is an especially influential risky health behavior•Mindfulness for college students may be crucial for risky health behaviors
Details
- Title: Subtitle
- Examining associations of mindfulness with early-life trauma and risky health behaviors using a network analysis approach in a sample of U.S. college students
- Creators
- Micah A. Williams - University of IowaHana-May Eadeh - Hennepin Healthcare Research InstituteKristian Markon - University of MinnesotaJenna L. Adamowicz - Pain Research, Informatics, Multi-morbidities, and Education (PRIME) Center, VA Connecticut Healthcare System: West Haven, West Haven, CT 06516Emily B.K. Thomas - Department of Psychological and Brain Sciences, University of Iowa, Iowa City, IA 52242
- Resource Type
- Journal article
- Publication Details
- Journal of contextual behavioral science, Vol.37, 100917
- DOI
- 10.1016/j.jcbs.2025.100917
- PMID
- 40718019
- PMCID
- PMC12288842
- NLM abbreviation
- J Contextual Behav Sci
- ISSN
- 2212-1447
- eISSN
- 2212-1455
- Publisher
- Elsevier Inc
- Grant note
- National Institutes of Health (NIH): NIGMS T32GM108540
Support was provided by the National Institutes of Health (NIH), NIGMS T32GM108540 (PI: Lutgendorf) in the form of fellowship and professional development for JLA. The NIH had no input on the study measures, methods, design, or analyses.
- Language
- English
- Electronic publication date
- 06/2025
- Date published
- 07/2025
- Academic Unit
- Psychological and Brain Sciences
- Record Identifier
- 9984843247202771
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