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. 2025 Feb 21:14:e68667.
doi: 10.2196/68667.

Combining Ecological Momentary Assessment and Social Network Analysis to Study Youth Physical Activity and Environmental Influences: Protocol for a Mixed Methods Feasibility Study

Tyler Prochnow  1 , Genevieve F Dunton  2 , Kayla de la Haye  3 , Keshia M Pollack Porter  4 , Chanam Lee  5
Affiliations

Combining Ecological Momentary Assessment and Social Network Analysis to Study Youth Physical Activity and Environmental Influences: Protocol for a Mixed Methods Feasibility Study

Tyler Prochnow et al. JMIR Res Protoc. .

Abstract

Background: Physical activity (PA) is crucial for youth health, but up to 74% of adolescents fail to meet recommended levels, especially during summer when structured supports associated with school are not available. The social and built environments significantly influence youth PA; yet, their complex interactions remain poorly understood. This study aims to evaluate the feasibility of combining ecological momentary assessment (EMA) and social network analysis to examine bidirectional influences among youth PA, built environments, and social networks during summer.

Objective: The objectives are to (1) evaluate the feasibility and acceptability of the combined EMA and Social Network Analysis protocol, and (2) identify phenotypes using person-level, microtemporal, and dynamic overlap between social and built environments.

Methods: This mixed methods feasibility study with an exploratory observational component will recruit 120 youth aged 12 years to 15 years from an urban school district in Central Texas, US. Participants will first complete a baseline survey to report their general social network patterns and environmental perceptions. Then participants will wear an ActiGraph LEAP accelerometer and respond to EMA prompts via smartphone for 7 days. EMA will assess real-time perceptions of social networks and surrounding built environments, which will be time-matched with accelerometer-assessed PA data. GPS coordinates will be collected with each EMA prompt to assess features of the built environment. Follow-up semistructured interviews will assess protocol acceptability.

Results: This study has been funded by the National Heart, Lung, and Blood Institute. Data collection is expected in the summers of 2025, 2026, and 2027.

Conclusions: This innovative approach combines EMA, SNA, accelerometry, and GPS data to provide unprecedented insights into the dynamic interplay between social networks, built environments, and youth PA during summer. Findings will inform the development of more targeted, effective interventions to promote PA among youth. While limitations include potential participant burden and generalizability, the study's strengths in capturing real-time, contextualized data make it a valuable contribution to understanding youth PA determinants.

International registered report identifier (irrid): PRR1-10.2196/68667.

Keywords: GPS; accelerometry; built environment; ecological momentary assessment; phenotypes; physical activity; social environment; social network analysis; youth.

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Conflict of interest statement

Conflicts of Interest: None declared.

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References

    1. Armstrong S, Wong CA, Perrin E, Page S, Sibley L, Skinner A. Association of physical activity with income, race/ethnicity, and sex among adolescents and young adults in the United States: Findings from the National Health and Nutrition Examination Survey, 2007-2016. JAMA Pediatr. 2018;172(8):732–740. doi: 10.1001/jamapediatrics.2018.1273. https://europepmc.org/abstract/MED/29889945 2684233 - DOI - PMC - PubMed
    1. Kann L, McManus T, Harris WA, Shanklin SL, Flint KH, Queen B, Lowry R, Chyen D, Whittle L, Thornton J, Lim C, Bradford D, Yamakawa Y, Leon M, Brener N, Ethier KA. Youth risk behavior surveillance - United States, 2017. MMWR Surveill Summ. 2018;67(8):1–114. doi: 10.15585/mmwr.ss6708a1. https://europepmc.org/abstract/MED/29902162 - DOI - PMC - PubMed
    1. Brazendale K, Beets MW, Weaver RG, Pate RR, Turner-McGrievy GM, Kaczynski AT, Chandler JL, Bohnert A, von Hippel PT. Understanding differences between summer vs. school obesogenic behaviors of children: the structured days hypothesis. Int J Behav Nutr Phys Act. 2017;14(1):100. doi: 10.1186/s12966-017-0555-2. https://ijbnpa.biomedcentral.com/articles/10.1186/s12966-017-0555-2 10.1186/s12966-017-0555-2 - DOI - DOI - PMC - PubMed
    1. Weaver RG, Beets MW, Brazendale K, Brusseau TA. Summer weight gain and fitness loss: causes and potential solutions. Am J Lifestyle Med. 2019;13(2):116–128. doi: 10.1177/1559827617750576. https://europepmc.org/abstract/MED/30800015 10.1177_1559827617750576 - DOI - PMC - PubMed
    1. Yin Z, Moore JB, Johnson MH, Vernon MM, Gutin B. The impact of a 3-year after-school obesity prevention program in elementary school children. Child Obes. 2012;8(1):60–70. doi: 10.1089/chi.2011.0085. - DOI - PMC - PubMed