https://github.com/mcguinlu/prevsci-data-sharing-exemplar
https://github.com/mcguinlu/prevsci-data-sharing-exemplar
adolescents college-student emerging-adult mental-health mindfulness-meditation mindfulness-training phone-application quality-of-life randomized-controlled-trial smartphone-app stress-reduction
Last synced: 7 months ago
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- Host: GitHub
- URL: https://github.com/mcguinlu/prevsci-data-sharing-exemplar
- Owner: mcguinlu
- License: cc-by-4.0
- Created: 2020-08-28T14:02:21.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2021-03-08T16:57:45.000Z (over 4 years ago)
- Last Synced: 2025-02-08T08:15:10.670Z (8 months ago)
- Topics: adolescents, college-student, emerging-adult, mental-health, mindfulness-meditation, mindfulness-training, phone-application, quality-of-life, randomized-controlled-trial, smartphone-app, stress-reduction
- Language: Stata
- Homepage:
- Size: 7.43 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: License.txt
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README
# Data repository for: "Randomized 1-month study to compare the efficacy of meditating with EEG-neurofeedback tool and meditation app on mental and physical health and health behaviors in university students"
## Study description
Taken from the `Study protocol.docx` document, which describes the study approach in detail:
> "Young adults in college experience high levels of stress, anxiety, and depression, which can lead to maladaptive behaviors and chronic health issues including inflammation and HPA-axis dysregulation. University mental health centers are seeking effective programs that teach coping skills to self-manage stress, with low stigma, that are easy to implement in large scale. The aim of this protocol is to describe the design of a study aiming to evaluate the effectiveness of a one-month self-guided meditation program for university students comparing various tools to improve mental health, physical health and health behaviors, and explore moderators. Secondary aims include reaching a diverse audience and documenting adverse experiences."
## PICOTS
__Population__ - 140 university undergraduate or postgraduate students studying at an American university.
__Intervention__ - 10 minutes of self-guided meditation daily for four weeks, faciliated by the 10% Happier App, in combination with neurofeedback from the Muse Neurofeedback Tool.
__Comparison__ - 10 minutes of self-guided meditation daily for four weeks, faciliated by the 10% Happier App.
__Outcomes__ - Outcome measures included those related to Personality, Stress, Distress, Resilience (coping), Mindfulness, Emotion regulation, Sleep, Self-Regulation of Eating, Motivation Survey, and Student Adherence (for more details, see Section 2.4 of the `Study protocol.docx` document and the `Instrument List.xlsx` document).
__Time__ - 4 week intervention followed by post-intervention surveys (1-, 6- and 12-months). See `Study Timeline.xlsx` for more details on the tasks performed and the data collected at each timepoint.
__Study Design__ - randomized controlled trial with two intervention groups
## Data source files
All data files are available as Excel spreadsheets in the `data/` subdirectory. The relationships between each data file, and between data files and other information contained in this repository, are described below:
* `RECAP_data.xlsx` (Data dictionary: `Data Dictionary for REDCAP Data.pdf`) contains the raw survey data exported from the [REDCAP](https://www.project-redcap.org/) software.
* `External_data.xlsx` (Data dictionary: `Data Dictionary for External Data.xlsx`) contains additional variables on each participant which were not captured by the REDCAP survey. Note some variables, such as C-Reactive protein or cortisol levels, are only available for a subset of participants, based on the availablility of saliva samples for that participant. See Section 2.2.1 in `Study protocol.docx` for more details.
* `Combined_data.xlsx` was created by merging the `RECAP_data.xlsx` and `External_data.xlsx`, and is used as the complete dataset from which composite variables are created using the `create_composite_variables.do` STATA do file. The crosswalk between the individual measures and the composite variables are described in more detail in `Stata Variable Crosswalk.xlsx`
* `Debriefing Interview - Wave 1.xlsx`: contains qualitative reponses from "Wave 1" participants to the debriefing interview questions. _Note: the interview was only done for Wave 1 participants._
In addition, we provided a work example of programmatically creating a list of keywords for this project, using the `litsearchr` R package. All files related to this aspect can be found in the [`keyword_generation`](keyword_generation/) subfolder.
## Permanent contact about this data
Rebeca L. Acabchuk, University of Connecticut, Institute for Collaboration on Health, Intervention, & Policy, Department of Psychological Sciences, United States. ORCID: [0000-0001-8254-2396](https://orcid.org/0000-0001-8254-2396)
## Registration
This study was prospectively registered on 17 January 2018 on [clinicaltrials.gov](https://clinicaltrials.gov/ct2/show/NCT03402009) [NCT03402009].
## Licence
The materials in this repository are licensed under the Creative Commons Attribution 4.0 (CC-BY-4.0) International. The full license file can be found [here](/License.txt).