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Personalized paths for physical activity: developing a person-centered quantitative function to determine a

Giovanni Iolascon1, Francesca Gimigliano2, Gioconda Di Pietro1

  • 1Department of Medical and Surgical Specialties and Dentistry, University of Campania "Luigi Vanvitelli", Naples, Italy.

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Summary

This study proposes a personalized web-based approach to increase physical activity (PA) participation. The method aims to enhance self-efficacy and adherence to recommended PA levels for better health outcomes.

Keywords:
ExerciseHealthy lifestyleMetabolic equivalentsPersonalized approachPhysical activity

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Area of Science:

  • Public Health
  • Health Behavior
  • Digital Health

Background:

  • Non-Communicable Diseases (NCDs) are a major cause of mortality, characterized by chronic, slow-progressing conditions.
  • Physical activity (PA) is crucial for delaying NCDs, yet participation has declined across all age groups.
  • Barriers to PA include low motivation, interest, and competing life commitments, hindering public health initiatives.

Purpose of the Study:

  • To propose a theoretical person-centered approach for increasing general population engagement in physical activity.
  • To tailor PA opportunities based on individual needs and health targets.
  • To enhance PA participation through personalized strategies.

Main Methods:

  • Defined four baseline physical activity (PA) profiles using Metabolic Equivalents (METs) derived from the General Practice Physical Activity Questionnaire (GPPAQ).
  • Developed a web-based algorithm to analyze GPPAQ data and METs for participant profiling.

Main Results:

  • An innovative, person-centered, web-based algorithm was created to enhance and measure PA participation in community settings.
  • The algorithm computes standardized participant profiles, personalized PA goals for health benefits, and specific PA recommendations (type and duration).

Conclusions:

  • The proposed person-centered approach may reliably increase self-efficacy and population adherence to recommended PA levels.
  • Further research is required to implement and validate this theoretical model in real-world settings.