Predicting Physical Activity of Young Adults Based on Psychological Need Satisfaction in Exercise Using Explainable Decision Tree Model

Garry Kuan, Rabiu Muazu Musa*, Anwar P.P.Abdul Majeed, Youngho Kim, Chatkamon Singnoy, Yee Cheng Kueh

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

Every individual is aware of the benefits of exercise and regular physical activity (PA) for maintaining a healthy lifestyle and a positive self-image. It is no longer a secret that engaging in regular physical activity boosts the immune system and reduces many health risks associated with a sedentary lifestyle. However, the challenge remains in the will and commitment to engage and sustain regular PA. In an effort to predict the PA of young adults and ascertain the psychological need satisfaction that drives their motivation to engage and sustain regular PA, the current study was undertaken. A total of 422 undergraduate students participated in the study and completed the Malay version of the psychological need satisfaction during exercise questionnaire. A decision tree model was developed to achieve the objective of the study with PA as the dependent variable and the psychological need variables that comprised autonomy, efficacy, competence, barriers, family, friends, relatedness, availability, benefits, and quality as the independent variables. The model accounted for an overall accuracy of 99% in predicting the PA of the participants. SHapley Additive exPlanations (SHAP) demonstrated that psychological need variables consisting of efficacy, competence, family, friends, relatedness, availability, benefits, and quality had positive effects on PA, whereas autonomy and barriers had negative effects on PA.

Original languageEnglish
Title of host publicationAdvances in Intelligent Manufacturing and Robotics - Selected Articles from ICIMR 2023
EditorsAndrew Tan, Fan Zhu, Haochuan Jiang, Kazi Mostafa, Eng Hwa Yap, Leo Chen, Lillian J. A. Olule, Hyun Myung
PublisherSpringer Science and Business Media Deutschland GmbH
Pages451-458
Number of pages8
ISBN (Print)9789819984978
DOIs
Publication statusPublished - 2024
EventInternational Conference on Intelligent Manufacturing and Robotics, ICIMR 2023 - Suzhou, China
Duration: 22 Aug 202323 Aug 2023

Publication series

NameLecture Notes in Networks and Systems
Volume845
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceInternational Conference on Intelligent Manufacturing and Robotics, ICIMR 2023
Country/TerritoryChina
CitySuzhou
Period22/08/2323/08/23

Keywords

  • Decision tree model
  • Physical activity
  • Psychological need satisfaction
  • Young adult

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