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Feasibility and acceptability of mobile methods to assess home and neighborhood environments related to adolescent sleep

  • Stephanie L. Mayne
    Correspondence
    Corresponding author: Stephanie Mayne, PhD, MHS, Children's Hospital of Philadelphia (CHOP), Perelman School of Medicine at the University of Pennsylvania, 2716 South Street, 10-471, Philadelphia, PA 19146, USA. Tel.: 267-426-0192.
    Affiliations
    Center for Pediatric Effectiveness, PolicyLab, and the Possibilities Project, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA

    Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA

    Leonard Davis Institute for Healthcare Economics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
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  • Gabrielle DiFiore
    Affiliations
    Center for Pediatric Effectiveness, PolicyLab, and the Possibilities Project, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
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  • Chloe Hannan
    Affiliations
    Center for Pediatric Effectiveness, PolicyLab, and the Possibilities Project, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
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  • Uchenna Nwokeji
    Affiliations
    Center for Pediatric Effectiveness, PolicyLab, and the Possibilities Project, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
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  • Vicky Tam
    Affiliations
    Data Science and Biostatistical Unit, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
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  • Corinne Filograna
    Affiliations
    Center for Pediatric Effectiveness, PolicyLab, and the Possibilities Project, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
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  • Tyler Martin
    Affiliations
    Center for Healthcare Innovation, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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  • Eugenia South
    Affiliations
    Leonard Davis Institute for Healthcare Economics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA

    Urban Health Lab, Department of Emergency Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
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  • Jonathan A. Mitchell
    Affiliations
    Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA

    Division of Gastroenterology, Hepatology, and Nutrition, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
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  • Karen Glanz
    Affiliations
    Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA

    School of Nursing, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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  • Alexander G. Fiks
    Affiliations
    Center for Pediatric Effectiveness, PolicyLab, and the Possibilities Project, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA

    Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA

    Leonard Davis Institute for Healthcare Economics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Published:February 11, 2023DOI:https://doi.org/10.1016/j.sleh.2023.01.014

      Abstract

      Objective

      A growing evidence base suggests home and neighborhood environmental exposures may influence adolescent sleep, but few studies have assessed these relationships using methods that account for time-varying, location-specific exposures, or multiple neighborhood contexts. This study aimed to assess the feasibility and acceptability of using smartphone global positioning system (GPS) tracking and ecological momentary assessment (EMA) to assess time-varying home and neighborhood environmental exposures hypothesized to be associated with adolescent sleep.

      Methods

      Adolescents aged 15-17 years in Philadelphia completed 7 days of continuous smartphone GPS tracking, which was used to identify daily levels of exposure to geocoded neighborhood factors (eg, crime, green space). Four daily EMA surveys assessed home sleep environment (eg, noise, light), stress, health behaviors, and neighborhood perceptions. Feasibility and acceptability of GPS tracking and EMA were assessed, and distributions of daily environmental exposures were examined.

      Results

      Among 25 teens (mean age 16, 56% male), there was a high level of GPS location data captured (median daily follow-up: 24 hours). Seventy-eight percent of EMA surveys were completed overall. Most participants (96%) reported no privacy concerns related to GPS tracking and minimal burden from EMA surveys. Exposures differed between participants’ home neighborhoods and locations visited outside the home neighborhood (eg, higher crime away from home). Sleep environment disruptions were present on 29% of nights (most common: uncomfortable temperature) and were reported by 52% of adolescents.

      Conclusions

      Results demonstrate the feasibility and acceptability of mobile methods for assessing time-varying home and neighborhood exposures relevant to adolescent sleep for up to 1 week.

      Keywords

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