Multilevel modeling of walking behavior: Advances in understanding the interactions of people, place, and time

Abby C. King, William A. Satariano, Jed Marti, Weimo Zhu

Research output: Contribution to journalReview article

Abstract

It has become increasingly clear that the influences on walking as well as other forms of regular physical activity are complex and require an increased understanding of factors across multiple levels of influence. Ecological frameworks have provided the field with a heuristic means of capturing potential impacts on behavior across diverse domains, including personal, behavioral, social or cultural, and environmental. We discuss advances in both understanding and applying this framework through the inclusion of previously ignored dimensions of impact (e.g., time), the application of state-of-the-art statistical methods for understanding interactions among multiple domains (e.g., signal detection), and the development of computer technologies (e.g., agent-based modeling) aimed at simulating the complex relationships between multiple levels of impact and walking behavior. We conclude with suggestions for future research in this emerging field.

Original languageEnglish (US)
Pages (from-to)S584-S593
JournalMedicine and Science in Sports and Exercise
Volume40
Issue number7 SUPPL.1
DOIs
StatePublished - Dec 1 2008

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Walking
Systems Analysis
Technology
Heuristics
Psychological Signal Detection

Keywords

  • Agent-Based Modeling
  • Ecological Model
  • Multilevel Modeling
  • Physical Activity
  • Physical Activity Space
  • Signal Detection Method
  • Time

ASJC Scopus subject areas

  • Orthopedics and Sports Medicine
  • Physical Therapy, Sports Therapy and Rehabilitation

Cite this

Multilevel modeling of walking behavior : Advances in understanding the interactions of people, place, and time. / King, Abby C.; Satariano, William A.; Marti, Jed; Zhu, Weimo.

In: Medicine and Science in Sports and Exercise, Vol. 40, No. 7 SUPPL.1, 01.12.2008, p. S584-S593.

Research output: Contribution to journalReview article

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