Exploring Factors Associated With Mobile Phone Behaviors and Attitudes Toward Technology Among Adults With Alcohol Use Disorder and Implications for mHealth Interventions: Exploratory Study.
| Autor: | Sillice MA; City University of New York School of Public Health & Health Policies, Center for Systems and Community Design, New York, NY, United States., Stein M; Department of Health Law, Policy, and Management, Boston University, Boston, MA, United States., Battle CL; Department of Psychiatry and Human Behavior, Warren Alpert School of Medicine of Brown University, Providence, RI, United States., Meshesha LZ; Department of Psychology, University of Central Florida, Orlando, FL, United States., Lindsay C; Department of Radiology, University of Massachusetts Medical School, Worcester, MA, United States., Agu E; Computer Science Department, Worcester Polytechnic Institute, Worcester, MA, United States., Abrantes AM; Department of Psychiatry and Human Behavior, Warren Alpert School of Medicine of Brown University, Providence, RI, United States. |
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| Jazyk: | angličtina |
| Zdroj: | JMIR formative research [JMIR Form Res] 2022 Aug 15; Vol. 6 (8), pp. e32768. Date of Electronic Publication: 2022 Aug 15. |
| DOI: | 10.2196/32768 |
| Abstrakt: | Background: Alcohol use disorder (AUD) is associated with severe chronic medical conditions and premature mortality. Expanding the reach or access to effective evidence-based treatments to help persons with AUD is a public health objective. Mobile phone or smartphone technology has the potential to increase the dissemination of clinical and behavioral interventions (mobile health interventions) that increase the initiation and maintenance of sobriety among individuals with AUD. Studies about how this group uses their mobile phone and their attitudes toward technology may have meaningful implications for participant engagement with these interventions. Objective: This exploratory study examined the potential relationships among demographic characteristics (race, gender, age, marital status, and income), substance use characteristics (frequency of alcohol and cannabis use), and clinical variables (anxiety and depression symptoms) with indicators of mobile phone use behaviors and attitudes toward technology. Methods: A sample of 71 adults with AUD (mean age 42.9, SD 10.9 years) engaged in an alcohol partial hospitalization program completed 4 subscales from the Media Technology Usage and Attitudes assessment: Smartphone Usage measures various mobile phone behaviors and activities, Positive Attitudes and Negative Attitudes measure attitudes toward technology, and the Technological Anxiety/Dependence measure assesses level of anxiety when individuals are separated from their phone and dependence on this device. Participants also provided demographic information and completed the Epidemiologic Studies Depression Scale (CES-D) and the Generalized Anxiety Disorder (GAD-7) scale. Lastly, participants reported their frequency of alcohol use over the past 3 months using the Drug Use Frequency Scale. Results: Results for the demographic factors showed a significant main effect for age, Smartphone Usage (P=.003; η Conclusions: Findings indicate differences in mobile phone use patterns and attitudes toward technology across demographic, substance use, and clinical measures among patients with AUD. These results may help inform the development of future mHealth interventions among this population. (©Marie Aline Sillice, Michael Stein, Cynthia L Battle, Lidia Z Meshesha, Clifford Lindsay, Emmanuel Agu, Ana M Abrantes. Originally published in JMIR Formative Research (https://formative.jmir.org), 15.08.2022.) |
| Databáze: | MEDLINE |
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