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Haucke M, Heinzel S, Liu S. Social mobile sensing and problematic alcohol consumption: Insights from smartphone metadata. Int J Med Inform 2024; 188:105486. [PMID: 38754285 DOI: 10.1016/j.ijmedinf.2024.105486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 05/07/2024] [Accepted: 05/13/2024] [Indexed: 05/18/2024]
Abstract
BACKGROUND Alcohol is often consumed in a social context. We aim to investigate whether social mobile sensing is associated with real-world social interactions and alcohol consumption. In addition, we investigate how social restriction policies implemented during the COVID-19 pandemic have influenced these associations. METHODS We conducted a smartphone-based ecological momentary assessment (EMA) study for 7 days over a 213-day period from 8 August 2020 to 9 March 2021 in Germany, including both no-lockdown and lockdown stages. Participants used a smartphone application which passively collects data on social behavior (e.g., app usage, phone calls, SMS). Moreover, we assessed real-world social interactions and alcohol consumption via daily questionnaires. RESULTS We found that each one-hour increase in social media usage was associated with a 40.2% decrease in the average number of drinks consumed. Mediation analysis suggested that social media usage decreases alcohol intake through decreased real-world social interactions. Notably, we did not find that any significant influence of the lockdown stage on the association between social mobile sensing and alcohol intake. CONCLUSIONS Our study suggests that people who use more social media drink less, likely due to reduced face-to-face social interactions. This highlights the potential of social mobile sensing as an objective measure of social activity and its implications for understanding alcohol consumption behavior.
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Affiliation(s)
- Matthias Haucke
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin (Campus Charité Mitte), Berlin, Germany; Department of Education and Psychology, Clinical Psychology and Psychotherapy, Freie Universität Berlin, Berlin, Germany.
| | - Stephan Heinzel
- Department of Education and Psychology, Clinical Psychology and Psychotherapy, Freie Universität Berlin, Berlin, Germany; Departement of Educational Sciences and Psychology, Clinical and Biological Psychology, Technische Universität Dortmund, Dortmund, Germany
| | - Shuyan Liu
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin (Campus Charité Mitte), Berlin, Germany.
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Thornton L, Osman B, Champion K, Green O, Wescott AB, Gardner LA, Stewart C, Visontay R, Whife J, Parmenter B, Birrell L, Bryant Z, Chapman C, Lubans D, Slade T, Torous J, Teesson M, Van de Ven P. Measurement Properties of Smartphone Approaches to Assess Diet, Alcohol Use, and Tobacco Use: Systematic Review. JMIR Mhealth Uhealth 2022; 10:e27337. [PMID: 35175212 PMCID: PMC8895282 DOI: 10.2196/27337] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 06/23/2021] [Accepted: 09/16/2021] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Poor diet, alcohol use, and tobacco smoking have been identified as strong determinants of chronic diseases, such as cardiovascular disease, diabetes, and cancer. Smartphones have the potential to provide a real-time, pervasive, unobtrusive, and cost-effective way to measure these health behaviors and deliver instant feedback to users. Despite this, the validity of using smartphones to measure these behaviors is largely unknown. OBJECTIVE The aim of our review is to identify existing smartphone-based approaches to measure these health behaviors and critically appraise the quality of their measurement properties. METHODS We conducted a systematic search of the Ovid MEDLINE, Embase (Elsevier), Cochrane Library (Wiley), PsycINFO (EBSCOhost), CINAHL (EBSCOHost), Web of Science (Clarivate), SPORTDiscus (EBSCOhost), and IEEE Xplore Digital Library databases in March 2020. Articles that were written in English; reported measuring diet, alcohol use, or tobacco use via a smartphone; and reported on at least one measurement property (eg, validity, reliability, and responsiveness) were eligible. The methodological quality of the included studies was assessed using the Consensus-Based Standards for the Selection of Health Measurement Instruments Risk of Bias checklist. Outcomes were summarized in a narrative synthesis. This systematic review was registered with PROSPERO, identifier CRD42019122242. RESULTS Of 12,261 records, 72 studies describing the measurement properties of smartphone-based approaches to measure diet (48/72, 67%), alcohol use (16/72, 22%), and tobacco use (8/72, 11%) were identified and included in this review. Across the health behaviors, 18 different measurement techniques were used in smartphones. The measurement properties most commonly examined were construct validity, measurement error, and criterion validity. The results varied by behavior and measurement approach, and the methodological quality of the studies varied widely. Most studies investigating the measurement of diet and alcohol received very good or adequate methodological quality ratings, that is, 73% (35/48) and 69% (11/16), respectively, whereas only 13% (1/8) investigating the measurement of tobacco use received a very good or adequate rating. CONCLUSIONS This review is the first to provide evidence regarding the different types of smartphone-based approaches currently used to measure key behavioral risk factors for chronic diseases (diet, alcohol use, and tobacco use) and the quality of their measurement properties. A total of 19 measurement techniques were identified, most of which assessed dietary behaviors (48/72, 67%). Some evidence exists to support the reliability and validity of using smartphones to assess these behaviors; however, the results varied by behavior and measurement approach. The methodological quality of the included studies also varied. Overall, more high-quality studies validating smartphone-based approaches against criterion measures are needed. Further research investigating the use of smartphones to assess alcohol and tobacco use and objective measurement approaches is also needed. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) RR2-https://doi.org/10.1186/s13643-020-01375-w.
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Affiliation(s)
- Louise Thornton
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia
- School of Medicine and Public Health, The University of Newcastle, Newcastle, Australia
- School of Public Health and Community Medicine, University of New South Wales, Kensington, Australia
| | - Bridie Osman
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia
| | - Katrina Champion
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia
| | - Olivia Green
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia
| | - Annie B Wescott
- Galter Health Sciences Library & Learning Center, Northwestern University, Feinberg School of Medicine, Chicago, IL, United States
| | - Lauren A Gardner
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia
| | - Courtney Stewart
- National Drug Research Institute, Curtin University, Perth, Australia
| | - Rachel Visontay
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia
| | - Jesse Whife
- National Drug Research Institute, Curtin University, Perth, Australia
| | - Belinda Parmenter
- School of Health Sciences, The University of New South Wales, Sydney, Australia
| | - Louise Birrell
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia
| | - Zachary Bryant
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia
| | - Cath Chapman
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia
| | - David Lubans
- Priority Research Centre for Physical Activity and Nutrition, The University of Newcastle, Newcastle, Australia
| | - Tim Slade
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia
| | - John Torous
- Beth Israel Deaconness Medical Centre, Harvard Medical School, Boston, MA, United States
| | - Maree Teesson
- The Matilda Centre for Research in Mental Health and Substance Use, The University of Sydney, Sydney, Australia
| | - Pepijn Van de Ven
- Health Research Institute, University of Limerick, Limerick, Ireland
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Realising the technological promise of smartphones in addiction research and treatment: An ethical review. THE INTERNATIONAL JOURNAL OF DRUG POLICY 2016; 36:47-57. [PMID: 27455467 DOI: 10.1016/j.drugpo.2016.05.013] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2015] [Revised: 05/25/2016] [Accepted: 05/25/2016] [Indexed: 01/20/2023]
Abstract
BACKGROUND Smartphone technologies and mHealth applications (or apps) promise unprecedented scope for data collection, treatment intervention, and relapse prevention when used in the field of substance abuse and addiction. This potential also raises new ethical challenges that researchers, clinicians, and software developers must address. AIMS This paper aims to identify ethical issues in the current uses of smartphones in addiction research and treatment. METHODS A search of three databases (PubMed, Web of Science and PsycInfo) identified 33 studies involving smartphones or mHealth applications for use in the research and treatment of substance abuse and addiction. A content analysis was conducted to identify how smartphones are being used in these fields and to highlight the ethical issues raised by these studies. RESULTS Smartphones are being used to collect large amounts of sensitive information, including personal information, geo-location, physiological activity, self-reports of mood and cravings, and the consumption of illicit drugs, alcohol and nicotine. Given that detailed information is being collected about potentially illegal behaviour, we identified the following ethical considerations: protecting user privacy, maximising equity in access, ensuring informed consent, providing participants with adequate clinical resources, communicating clinically relevant results to individuals, and the urgent need to demonstrate evidence of safety and efficacy of the technologies. CONCLUSIONS mHealth technology offers the possibility to collect large amounts of valuable personal information that may enhance research and treatment of substance abuse and addiction. To realise this potential researchers, clinicians and app-developers must address these ethical concerns to maximise the benefits and minimise risks of harm to users.
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Matsumura K, Noguchi H, Nishi D, Matsuoka Y. The effect of omega-3 fatty acids on psychophysiological assessment for the secondary prevention of posttraumatic stress disorder: an open-label pilot study. Glob J Health Sci 2011; 4:3-9. [PMID: 22980098 PMCID: PMC4777038 DOI: 10.5539/gjhs.v4n1p3] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2011] [Accepted: 08/04/2011] [Indexed: 02/01/2023] Open
Abstract
Our recent pilot study has shown that the supplementation of omega-3 fatty acids (fish oil) immediately after a traumatic event may be effective toward the secondary prevention of post-traumatic disorder (PTSD). To lay the groundwork for addressing the mechanism by which omega-3 fatty acids can prevent PTSD, we analyzed its psychophysiological data. The psychophysiological data included heart rate, skin conductance, and continuous blood pressure during patient subjection to startling tones and idiographic trauma-related cues. Of the 8 patients, 1 met the diagnostic criteria for PTSD. Compared to the seven patients without PTSD, one patient with PTSD showed relatively large reactivity to the startle tones. In contrast, this patient did not show large reactivity to the trauma-related cue during script-driven imagery. The combination of psychophysiological measurements in our randomized control trial should shed light on the underlying mechanisms by which omega-3 fatty acids can prevent PTSD.
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