TY - GEN
T1 - Predicting Physical Activity of Young Adults Based on Psychological Need Satisfaction in Exercise Using Explainable Decision Tree Model
AU - Kuan, Garry
AU - Musa, Rabiu Muazu
AU - Majeed, Anwar P.P.Abdul
AU - Kim, Youngho
AU - Singnoy, Chatkamon
AU - Kueh, Yee Cheng
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Decision tree model
KW - Physical activity
KW - Psychological need satisfaction
KW - Young adult
UR - http://www.scopus.com/inward/record.url?scp=85187804895&partnerID=8YFLogxK
U2 - 10.1007/978-981-99-8498-5_37
DO - 10.1007/978-981-99-8498-5_37
M3 - Conference Proceeding
AN - SCOPUS:85187804895
SN - 9789819984978
T3 - Lecture Notes in Networks and Systems
SP - 451
EP - 458
BT - Advances in Intelligent Manufacturing and Robotics - Selected Articles from ICIMR 2023
A2 - Tan, Andrew
A2 - Zhu, Fan
A2 - Jiang, Haochuan
A2 - Mostafa, Kazi
A2 - Yap, Eng Hwa
A2 - Chen, Leo
A2 - Olule, Lillian J. A.
A2 - Myung, Hyun
PB - Springer Science and Business Media Deutschland GmbH
T2 - International Conference on Intelligent Manufacturing and Robotics, ICIMR 2023
Y2 - 22 August 2023 through 23 August 2023
ER -