IDEAS home Printed from https://ideas.repec.org/a/plo/pdig00/0000650.html
   My bibliography  Save this article

Meeting people where they are: Crowdsourcing goal-specific personalized wellness practices

Author

Listed:
  • Johanna E Hidalgo
  • Julia Kim
  • Jordan Llorin
  • Kathryn Stanton
  • Josh Cherian
  • Laura Bloomfield
  • Mikaela Fudolig
  • Matthew Price
  • Jennifer Ha
  • Natalie Noble
  • Christopher M Danforth
  • Peter Sheridan Dodds
  • Jason Fanning
  • Ryan S McGinnis
  • Ellen W McGinnis

Abstract

Objectives: Despite the development of efficacious wellness interventions, sustainable wellness behavior change remains challenging. To optimize engagement, initiating small behaviors that build upon existing practices congruent with individuals’ lifestyles may promote sustainable wellness behavior change. In this study, we crowd-sourced helpful, flexible, and engaging wellness practices to identify a list of those commonly used for improving sleep, productivity, and physical, emotional, and social wellness from participants who felt they had been successful in these dimensions. Method: We recruited a representative sample of 992 U.S. residents to survey the wellness dimensions in which they had achieved success and their specific wellness practices. Results: Responses were aggregated across demographic, health, lifestyle factors, and wellness dimension. Exploration of these data revealed that there was little overlap in preferred practices across wellness dimensions. Within wellness dimensions, preferred practices were similar across demographic factors, especially within the top 3–4 most selected practices. Interestingly, daily wellness practices differ from those typically recommended as efficacious by research studies and seem to be impacted by health status (e.g., depression, cardiovascular disease). Additionally, we developed and provide for public use a web dashboard that visualizes and enables exploration of the study results. Conclusions: Findings identify personalized, sustainable wellness practices targeted at specific wellness dimensions. Future studies could leverage tailored practices as recommendations for optimizing the development of healthier behaviors. Author summary: Despite many proven wellness programs, making healthy habits stick long-term remains a challenge for most people. To help overcome this, our study took a novel approach—crowdsourcing wellness practices that people already incorporate into their current lifestyles and routines. To capture these wellness practices, we gathered input from 992 individuals who felt they had been successful within specific wellness dimensions (sleep, productivity, and physical, emotional and social wellness). Intriguingly, we found little overlap in practices across different wellness dimensions, suggesting that practices are specific to dimension. Within each dimension, the most popular practices were fairly consistent across individuals, no matter their background. However, an individual’s specific health conditions did influence some of their preferred practices. For example, experiencing depression impacted which wellness practices participants gravitated towards to improve their emotional wellness. To facilitate visualization and exploration of these results, we developed an online dashboard that displays the wellness practices individuals reported as effective for improving each wellness dimension and allows users to filter by demographic, health, and lifestyle factors. Through this work, we aim to help researchers develop wellness interventions that can be tailored to each individual matched to their personal factors. By recommending wellness practices tailored to each individual, users may feel more engaged and be able to better incorporate the practices into their lifestyle and sustain them for longer.

Suggested Citation

  • Johanna E Hidalgo & Julia Kim & Jordan Llorin & Kathryn Stanton & Josh Cherian & Laura Bloomfield & Mikaela Fudolig & Matthew Price & Jennifer Ha & Natalie Noble & Christopher M Danforth & Peter Sheri, 2024. "Meeting people where they are: Crowdsourcing goal-specific personalized wellness practices," PLOS Digital Health, Public Library of Science, vol. 3(11), pages 1-18, November.
  • Handle: RePEc:plo:pdig00:0000650
    DOI: 10.1371/journal.pdig.0000650
    as

    Download full text from publisher

    File URL: https://journals.plos.org/digitalhealth/article?id=10.1371/journal.pdig.0000650
    Download Restriction: no

    File URL: https://journals.plos.org/digitalhealth/article/file?id=10.1371/journal.pdig.0000650&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pdig.0000650?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Ockene, I.S. & Tellez, T.L. & Rosal, M.C. & Reed, G.W. & Mordes, J. & Merriam, P.A. & Olendzki, B.C. & Handelman, G. & Nicolosi, R. & Ma, Y., 2012. "Outcomes of a latino community-based intervention for the prevention of diabetes: The Lawrence latino diabetes prevention project," American Journal of Public Health, American Public Health Association, vol. 102(2), pages 336-342.
    2. Jin Luo & Raymond Y. W. Lee, 2022. "Opposing patterns in self-reported and measured physical activity levels in middle-aged adults," European Journal of Ageing, Springer, vol. 19(3), pages 567-573, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nadia S. Islam & Jennifer M. Zanowiak & Laura C. Wyatt & Rucha Kavathe & Hardayal Singh & Simona C. Kwon & Chau Trinh-Shevrin, 2014. "Diabetes Prevention in the New York City Sikh Asian Indian Community: A Pilot Study," IJERPH, MDPI, vol. 11(5), pages 1-25, May.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pdig00:0000650. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: digitalhealth (email available below). General contact details of provider: https://journals.plos.org/digitalhealth .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.