Title |
mHealth for the Detection and Intervention in Adolescent and Young Adult Substance Use Disorder
|
---|---|
Published in |
Current Addiction Reports, February 2018
|
DOI | 10.1007/s40429-018-0192-0 |
Pubmed ID | |
Authors |
Stephanie Carreiro, Peter R. Chai, Jennifer Carey, Jeffrey Lai, David Smelson, Edward W. Boyer |
Abstract |
The goal of this review is to highlight recent research in mHealth based approaches to the detection and treatment of substance use disorders in adolescents and young adults. The main methods for mHealth based detection include mobile phone based self-report tools, GPS tracking, and wearable sensors. Wearables can be used to detect physiologic changes (e.g., heart rate, electrodermal activity) or biochemical contents of analytes (i.e. alcohol in sweat) with reasonable accuracy, but larger studies are needed. Detection methods have been combined with interventions based on mindfulness, education, incentives/goals and motivation. Few studies have focused specifically on the young adult population, although those that did indicate high rates of utilization and acceptance. Research that explores the pairing of advanced detection methods such as wearables with real time intervention strategies is crucial to realizing the full potential of mHealth in this population. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 57% |
United Kingdom | 1 | 14% |
Unknown | 2 | 29% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 5 | 71% |
Members of the public | 1 | 14% |
Scientists | 1 | 14% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 89 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 15 | 17% |
Student > Ph. D. Student | 13 | 15% |
Student > Bachelor | 8 | 9% |
Student > Master | 6 | 7% |
Student > Doctoral Student | 6 | 7% |
Other | 13 | 15% |
Unknown | 28 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 19 | 21% |
Medicine and Dentistry | 11 | 12% |
Computer Science | 9 | 10% |
Social Sciences | 7 | 8% |
Agricultural and Biological Sciences | 2 | 2% |
Other | 9 | 10% |
Unknown | 32 | 36% |