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


Journal

Sleep health
ISSN: 2352-7226
Titre abrégé: Sleep Health
Pays: United States
ID NLM: 101656808

Informations de publication

Date de publication:
Jun 2023
Historique:
received: 22 08 2022
revised: 13 01 2023
accepted: 16 01 2023
pmc-release: 01 06 2024
medline: 19 6 2023
pubmed: 14 2 2023
entrez: 13 2 2023
Statut: ppublish

Résumé

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. 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. 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. 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.

Identifiants

pubmed: 36781356
pii: S2352-7218(23)00027-X
doi: 10.1016/j.sleh.2023.01.014
pmc: PMC10293018
mid: NIHMS1867203
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

331-338

Subventions

Organisme : NHLBI NIH HHS
ID : K01 HL155860
Pays : United States

Informations de copyright

Copyright © 2023 National Sleep Foundation. Published by Elsevier Inc. All rights reserved.

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Auteurs

Stephanie L Mayne (SL)

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. Electronic address: maynes@chop.edu.

Gabrielle DiFiore (G)

Center for Pediatric Effectiveness, PolicyLab, and the Possibilities Project, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.

Chloe Hannan (C)

Center for Pediatric Effectiveness, PolicyLab, and the Possibilities Project, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.

Uchenna Nwokeji (U)

Center for Pediatric Effectiveness, PolicyLab, and the Possibilities Project, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.

Vicky Tam (V)

Data Science and Biostatistical Unit, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.

Corinne Filograna (C)

Center for Pediatric Effectiveness, PolicyLab, and the Possibilities Project, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.

Tyler Martin (T)

Center for Healthcare Innovation, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Eugenia South (E)

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.

Jonathan A Mitchell (JA)

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.

Karen Glanz (K)

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.

Alexander G Fiks (AG)

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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