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Updated: Jun 10, 2026

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
05:59

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity

Published on: March 7, 2019

Adolescent physical activity: does implementation intention have a role?

Vaughan Roberts1, Ralph Maddison, Jane Magnusson

  • 1Clinical Trials Research Unit, University of Auckland, Auckland, New Zealand.

Journal of Physical Activity & Health
|August 5, 2010
PubMed
Summary
This summary is machine-generated.

This study shows that social cognitive factors significantly predict physical activity (PA) intentions and behavior in adolescents. Understanding these factors is key to promoting adolescent PA.

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Last Updated: Jun 10, 2026

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
05:59

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity

Published on: March 7, 2019

Physical Activity Measurement in Children Accepting Table Tennis Training
06:51

Physical Activity Measurement in Children Accepting Table Tennis Training

Published on: July 27, 2022

Area of Science:

  • Behavioral Science
  • Adolescent Health
  • Exercise Psychology

Background:

  • Adolescent physical activity (PA) is crucial for long-term health.
  • Social cognitive factors are increasingly recognized as important predictors of health behaviors.

Purpose of the Study:

  • To test an integrated social cognitive model for predicting PA intentions and behavior in New Zealand adolescents.
  • To identify key social cognitive predictors of adolescent PA.

Main Methods:

  • Seventy-two adolescents completed measures of attitude, subjective norm, perceived behavioral control (PBC), goal intention, task-efficacy, barrier efficacy, and implementation intention.
  • Objective PA was measured using pedometers, and self-reported PA via a 7-day recall questionnaire.
  • Hierarchical regression analyses examined the model's predictive utility for PA intentions and behavior.

Main Results:

  • The integrated model explained 41% of goal intention, 33% of implementation intention, and 41% (self-reported) and 18% (objectively measured) of PA.
  • Perceived behavioral control (PBC) most strongly predicted goal intention; attitude most strongly predicted implementation intention.
  • Task-efficacy was the strongest predictor of objectively measured PA, while implementation intention best predicted subjectively measured PA.

Conclusions:

  • Social cognitive variables significantly influence adolescent physical activity.
  • Findings highlight the importance of considering specific social cognitive constructs when measuring and promoting PA in adolescents.
  • Recommendations for future research on adolescent PA measurement and interventions are provided.