Adapted Physical Activity Overview

Principles

Definition

Adapted physical activity is an academic field of study and professional practice dedicated to understanding and facilitating physical activity for individuals with diverse abilities and needs. It investigates the complex interplay of factors affecting participation, develops evidence-based strategies for modifying activities and environments, and assesses outcomes related to health, functional capacity, and quality of life, thereby ensuring equitable access and promoting inclusive engagement in physical activity across the lifespan.

Ontological type

Core Principles

Program Design

Assessment Strategies

Key developments

Key Figures

Behavioral Theory and Measurement era

Alan M. Jette [1] is a central figure in the Behavioral Theory and Measurement era (1987-2002), with affiliations at the University of Pennsylvania [3] and Boston University [4]. His key contribution in this era was the development and evaluation of The physical activity scale for the elderly (PASE): Development and evaluation [7], which provided a standardized instrument for measuring activity in older adults and linked theoretical constructs to practical surveillance and program evaluation. James F. Sallis [2] is associated with The University of Texas Southwestern Medical Center [5] and The University of Texas Health Science Center at San Antonio [6], and his 2000 paper Assessment of Physical Activity by Self-Report: Status, Limitations, and Future Directions [8] clarified measurement practices and highlighted limitations, advancing methodological rigor in this era. James F. Sallis [2] contributed further with the 1999 paper Children’s Physical Activity Choices: A Developmental Analysis of Gender, Intensity Levels, and Time [10] and the 2001 Health Enhancing Physical Activity for Young People: Statement of the United Kingdom Expert Consensus Conference [9], which together extended theory-driven measurement to developmental and policy contexts.

Accelerometry-Driven Surveillance era

David Markland [1] is a prominent scholar in the Accelerometry-Driven Surveillance era, with affiliations at Cardiff University [3] and Bangor University [4]. His key contribution is the modification to the Behavioural Regulation in Exercise Questionnaire to Include an Assessment of Amotivation [7], which refined measurement of motivational determinants of exercise and enhanced interpretation of accelerometer-based surveillance data. Gregory J. Welk [2] is a leading figure with affiliations at Stanford University [5] and the University of Wisconsin–Madison [6]. His key contribution is the 2011 paper Physical Activity in U.S. Adults [8], which documents national activity patterns and informs calibration of device-based surveillance and guideline development.

Technology-Enabled Inclusive Activity era

Barbara E. Ainsworth [1] is a distinguished scholar whose work in the Technology-Enabled Inclusive Activity era intersects with institutions such as Indiana University – Purdue University Indianapolis [3] and Arizona State University [4]. Her key contributions in this era include synthesizing evidence on physical activity behavior during pandemic conditions and generating guidance for maintaining activity, as reflected by the paper Coronavirus disease (COVID-19): The need to maintain regular physical activity while taking precautions [7], which helped shape public health messaging and practice. Peter Krustrup [2] is a leading figure with affiliations to the University of Copenhagen [5] and the University of Exeter [6] during this era. His key contributions, including advocating home-based physical training during COVID-19, are documented in the paper Physical activity and coronavirus disease 2019 (COVID-19): specific recommendations for home-based physical training [8], underscoring the era’s shift toward scalable, technology-facilitated participation.