Evidence map›Paper›PMID 35969449›Full record

ArticleJMIR formative research2022

Exploring Factors Associated With Mobile Phone Behaviors and Attitudes Toward Technology Among Adults With Alcohol Use Disorder and Implications for mHealth Interventions: Exploratory Study.

Marie Aline Sillice, Michael Stein, Cynthia L Battle, Lidia Z Meshesha, Clifford Lindsay, Emmanuel Agu, Ana M Abrantes

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.6field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. The role and reach of alcohol reduction apps.Health affairs scholar · 2025
    Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 6 institutions in 1 country.

Marie Aline Sillice *City University of New York School of Public Health & Health Policies, Center for Systems and Community Design, New York, NY, United States.ORCID https://orcid.org/0000-0003-1361-7416
Michael SteinDepartment of Health Law, Policy, and Management, Boston University, Boston, MA, United States.ORCID https://orcid.org/0000-0002-2466-5192
Cynthia L BattleDepartment of Psychiatry and Human Behavior, Warren Alpert School of Medicine of Brown University, Providence, RI, United States.ORCID https://orcid.org/0000-0002-0594-5164
Lidia Z MesheshaDepartment of Psychology, University of Central Florida, Orlando, FL, United States.ORCID https://orcid.org/0000-0002-9086-1263
Clifford LindsayDepartment of Radiology, University of Massachusetts Medical School, Worcester, MA, United States.ORCID https://orcid.org/0000-0003-3249-2807
Emmanuel AguComputer Science Department, Worcester Polytechnic Institute, Worcester, MA, United States.ORCID https://orcid.org/0000-0002-3361-4952
Ana M AbrantesDepartment of Psychiatry and Human Behavior, Warren Alpert School of Medicine of Brown University, Providence, RI, United States.ORCID https://orcid.org/0000-0001-6854-140X
Brown University · USBoston University · USCity University of New York · USUniversity of Central Florida · USUniversity of Massachusetts Chan Medical School · USWorcester Polytechnic Institute · US

Funding

Mobile Health Intervention to Increase Substance-Free Activities During Alcohol TreatmentK23AA028269 · NIAAA · UNIVERSITY OF CENTRAL FLORIDA · PI MESHESHA, LIDIA · 2020 to 2024
$924k
Developing a Tailored, Theoretically-Driven Smartphone Physical Activity Intervention for African American WomenK23MD014164 · NIMHD · STATE UNIVERSITY NEW YORK STONY BROOK · PI SILLICE, MARIE ALINE · 2019 to 2023
$892k
A Tailored Physical Activity Smartphone App for Patients with Alcohol DependenceR33AA024295 · NIAAA · BUTLER HOSPITAL (PROVIDENCE, RI) · PI ABRANTES, ANA M · 2018 to 2020
$742k
A Tailored Physical Activity Smartphone App for Patients with Alcohol DependenceR21AA024295 · NIAAA · BUTLER HOSPITAL (PROVIDENCE, RI) · PI ABRANTES, ANA M · 2016 to 2017
$467k
NIAAA NIH HHS K23 AA028269NIAAA NIH HHS R21 AA024295NIAAA NIH HHS R33 AA024295NIMHD NIH HHS K23 MD014164NIMHD NIH HHS L60 MD017889
6 · The paper itself

Abstract

backgroundAlcohol 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.

objectiveThis 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.

methodsA 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.

resultsResults for the demographic factors showed a significant main effect for age, Smartphone Usage (P=.003; η

conclusionsFindings 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.

Indexed as

alcoholalcohol use disorderanxietydemographic differencesdepressionmobile phonemobile phone use patternspatient attitudesubstance usetechnological attitude

Identifiers

PMID35969449
PMCPMC9425165
OpenAlexW4291900727

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.