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      Passive Sensing of Preteens’ Smartphone Use: An Adolescent Brain Cognitive Development (ABCD) Cohort Substudy

      research-article
      , PhD 1 , , , BA 2 , , MSc 3 , , PhD 4 , , MSc 5 , , PhD 6 , , PhD 7 , , PhD 8 , , PhD 3 , , PhD 9 , , PhD 10 , , PhD 7 , , PhD 4 , , PhD 8 , , PhD 1 , , MD 11 , ABCD Novel Technologies Workgroup 12
      (Reviewer), (Reviewer), (Reviewer), (Reviewer)
      JMIR Mental Health
      JMIR Publications
      preadolescents, smartphone use, passive sensing, screen use, screen time, mobile phone

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          Abstract

          Background

          Concerns abound regarding childhood smartphone use, but studies to date have largely relied on self-reported screen use. Self-reporting of screen use is known to be misreported by pediatric samples and their parents, limiting the accurate determination of the impact of screen use on social, emotional, and cognitive development. Thus, a more passive, objective measurement of smartphone screen use among children is needed.

          Objective

          This study aims to passively sense smartphone screen use by time and types of apps used in a pilot sample of children and to assess the feasibility of passive sensing in a larger longitudinal sample.

          Methods

          The Adolescent Brain Cognitive Development (ABCD) study used passive, objective phone app methods for assessing smartphone screen use over 4 weeks in 2019-2020 in a subsample of 67 participants (aged 11-12 years; 31/67, 46% female; 23/67, 34% White). Children and their parents both reported average smartphone screen use before and after the study period, and they completed a questionnaire regarding the acceptability of the study protocol. Descriptive statistics for smartphone screen use, app use, and protocol feasibility and acceptability were reviewed. Analyses of variance were run to assess differences in categorical app use by demographics. Self-report and parent report were correlated with passive sensing data.

          Results

          Self-report of smartphone screen use was partly consistent with objective measurement ( r=0.49), although objective data indicated that children used their phones more than they reported. Passive sensing revealed the most common types of apps used were for streaming (mean 1 hour 57 minutes per day, SD 1 hour 32 minutes), communication (mean 48 minutes per day, SD 1 hour 17 minutes), gaming (mean 41 minutes per day, SD 41 minutes), and social media (mean 36 minutes per day, SD 1 hour 7 minutes). Passive sensing of smartphone screen use was generally acceptable to children (43/62, 69%) and parents (53/62, 85%).

          Conclusions

          The results of passive, objective sensing suggest that children use their phones more than they self-report. Therefore, use of more robust methods for objective data collection is necessary and feasible in pediatric samples. These data may then more accurately reflect the impact of smartphone screen use on behavioral and emotional functioning. Accordingly, the ABCD study is implementing a passive sensing protocol in the full ABCD cohort. Taken together, passive assessment with a phone app provided objective, low-burden, novel, informative data about preteen smartphone screen use.

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          Most cited references52

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          Systematic review of the Hawthorne effect: New concepts are needed to study research participation effects☆

          Objectives This study aims to (1) elucidate whether the Hawthorne effect exists, (2) explore under what conditions, and (3) estimate the size of any such effect. Study Design and Setting This systematic review summarizes and evaluates the strength of available evidence on the Hawthorne effect. An inclusive definition of any form of research artifact on behavior using this label, and without cointerventions, was adopted. Results Nineteen purposively designed studies were included, providing quantitative data on the size of the effect in eight randomized controlled trials, five quasiexperimental studies, and six observational evaluations of reporting on one's behavior by answering questions or being directly observed and being aware of being studied. Although all but one study was undertaken within health sciences, study methods, contexts, and findings were highly heterogeneous. Most studies reported some evidence of an effect, although significant biases are judged likely because of the complexity of the evaluation object. Conclusion Consequences of research participation for behaviors being investigated do exist, although little can be securely known about the conditions under which they operate, their mechanisms of effects, or their magnitudes. New concepts are needed to guide empirical studies.
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            Recruiting the ABCD sample: Design considerations and procedures

            The ABCD study is a new and ongoing project of very substantial size and scale involving 21 data acquisition sites. It aims to recruit 11,500 children and follow them for ten years with extensive assessments at multiple timepoints. To deliver on its potential to adequately describe adolescent development, it is essential that it adopt recruitment procedures that are efficient and effective and will yield a sample that reflects the nation’s diversity in an epidemiologically informed manner. Here, we describe the sampling plans and recruitment procedures of this study. Participants are largely recruited through the school systems with school selection informed by gender, race and ethnicity, socioeconomic status, and urbanicity. Procedures for school selection designed to mitigate selection biases, dynamic monitoring of the accumulating sample to correct deviations from recruitment targets, and a description of the recruitment procedures designed to foster a collaborative attitude between the researchers, the schools and the local communities, are provided.
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              Demographic, physical and mental health assessments in the adolescent brain and cognitive development study: Rationale and description

              The Adolescent Brain and Cognitive Development (ABCD) Study incorporates a comprehensive range of measures assessing predictors and outcomes related to both mental and physical health across childhood and adolescence. The workgroup developed a battery that would assess a comprehensive range of domains that address study aims while minimizing participant and family burden. We review the major considerations that went into deciding what constructs to cover in the demographics, physical health and mental health domains, as well as the process of selecting measures, piloting and refining the originally proposed battery. We present a description of the baseline battery, as well as the six-month interim assessments and the one-year follow-up assessments. This battery includes assessments from the perspectives of both the parent and the target youth, as well as teacher reports. This battery will provide a foundational baseline assessment of the youth’s current function so as to permit characterization of stability and change in key domains over time. The findings from this battery will also be utilized to identify both resilience markers that predict healthy development and risk factors for later adverse outcomes in physical health, mental health, and substance use and abuse.
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                Author and article information

                Contributors
                Journal
                JMIR Ment Health
                JMIR Ment Health
                JMH
                JMIR Mental Health
                JMIR Publications (Toronto, Canada )
                2368-7959
                October 2021
                18 October 2021
                : 8
                : 10
                : e29426
                Affiliations
                [1 ] University of California, San Diego La Jolla, CA United States
                [2 ] University of Vermont Burlington, VT United States
                [3 ] University of Wisconsin-Milwaukee Milwaukee, WI United States
                [4 ] Medical University of South Carolina Charleston, SC United States
                [5 ] Laureate Institute for Brain Research Tulsa, OK United States
                [6 ] SRI International Menlo Park, CA United States
                [7 ] Virginia Commonwealth University Richmond, VA United States
                [8 ] National Institutes of Health Bethesda, MD United States
                [9 ] Children's Hospital Los Angeles Los Angeles, CA United States
                [10 ] University of Tennessee Knoxville, TN United States
                [11 ] Icahn School of Medicine at Mount Sinai New York, NY United States
                [12 ] See Acknowledgments
                Author notes
                Corresponding Author: Natasha E Wade nwade@ 123456health.ucsd.edu
                Author information
                https://orcid.org/0000-0002-9629-2305
                https://orcid.org/0000-0002-0178-0630
                https://orcid.org/0000-0001-9180-4909
                https://orcid.org/0000-0002-6961-4399
                https://orcid.org/0000-0002-6754-8842
                https://orcid.org/0000-0001-9602-6165
                https://orcid.org/0000-0002-3550-0107
                https://orcid.org/0000-0002-9659-3706
                https://orcid.org/0000-0001-9515-1335
                https://orcid.org/0000-0002-0068-8138
                https://orcid.org/0000-0002-3165-1450
                https://orcid.org/0000-0003-4887-659X
                https://orcid.org/0000-0001-5994-6894
                https://orcid.org/0000-0003-3280-9771
                https://orcid.org/0000-0001-7259-6112
                https://orcid.org/0000-0003-4688-4617
                Article
                v8i10e29426
                10.2196/29426
                8561413
                34661541
                1d5f5044-3e9f-4212-a374-e21f7c1c773b
                ©Natasha E Wade, Joseph M Ortigara, Ryan M Sullivan, Rachel L Tomko, Florence J Breslin, Fiona C Baker, Bernard F Fuemmeler, Katia Delrahim Howlett, Krista M Lisdahl, Andrew T Marshall, Michael J Mason, Michael C Neale, Lindsay M Squeglia, Dana L Wolff-Hughes, Susan F Tapert, Kara S Bagot, ABCD Novel Technologies Workgroup. Originally published in JMIR Mental Health (https://mental.jmir.org), 18.10.2021.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Mental Health, is properly cited. The complete bibliographic information, a link to the original publication on https://mental.jmir.org/, as well as this copyright and license information must be included.

                History
                : 7 April 2021
                : 31 May 2021
                : 11 June 2021
                : 12 June 2021
                Categories
                Original Paper
                Original Paper

                preadolescents,smartphone use,passive sensing,screen use,screen time,mobile phone

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