TY - GEN
T1 - Social and Motivational Factors for the Spread of Physical Activities in a Health Social Network
AU - Phan, Nhat Hai
AU - Kil, David
AU - Piniewski, Brigitte
AU - Dou, Dejing
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - Identifying the effects of social and motivational factors is critical to understanding how healthy behaviors, i.e., physical activities, spread in digital therapeutics programs. We evaluated a comprehensive interconnected social network of 254 overweight and obese individuals across 335 days. Daily physical activities, social activities, biomarkers, and biometric measures were available for all subjects. We improved proportional hazards models to characterize the impact of self-motivation, influence, and susceptibility in the spread of physical activities. After 6 months, the YesiWell users increased leisure walking minutes by 164% on average compared with 47% among the control participants (P< 0.05 ). The YesiWell users also lost more weight than the controls (5.2 pounds vs. 1.5 pounds) (P< 0.01 ). Our estimations showed that influence and susceptibility increase with age; relaxed people are 96% more influential than stressed people (P< 0.001 ); obese people are 23% more self-motivated (P< 0.001 ); socially active people are 29% more influential (P< 0.001 ); those who self-characterize as “keep-to-themselves” people have a 79% greater susceptibility (P< 0.001 ). Relaxed people exert the most influence on non-stressed peers at 109% more than baseline (P< 0.001 ). Our findings could enable new and effective personalized behavioral interventions to spread healthy behaviors in next-generation digital therapeutics.
AB - Identifying the effects of social and motivational factors is critical to understanding how healthy behaviors, i.e., physical activities, spread in digital therapeutics programs. We evaluated a comprehensive interconnected social network of 254 overweight and obese individuals across 335 days. Daily physical activities, social activities, biomarkers, and biometric measures were available for all subjects. We improved proportional hazards models to characterize the impact of self-motivation, influence, and susceptibility in the spread of physical activities. After 6 months, the YesiWell users increased leisure walking minutes by 164% on average compared with 47% among the control participants (P< 0.05 ). The YesiWell users also lost more weight than the controls (5.2 pounds vs. 1.5 pounds) (P< 0.01 ). Our estimations showed that influence and susceptibility increase with age; relaxed people are 96% more influential than stressed people (P< 0.001 ); obese people are 23% more self-motivated (P< 0.001 ); socially active people are 29% more influential (P< 0.001 ); those who self-characterize as “keep-to-themselves” people have a 79% greater susceptibility (P< 0.001 ). Relaxed people exert the most influence on non-stressed peers at 109% more than baseline (P< 0.001 ). Our findings could enable new and effective personalized behavioral interventions to spread healthy behaviors in next-generation digital therapeutics.
KW - Obesity
KW - Overweight
KW - Physical activities
KW - Social and motivation factors
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U2 - 10.1007/978-3-030-91434-9_17
DO - 10.1007/978-3-030-91434-9_17
M3 - Conference contribution
AN - SCOPUS:85121860556
SN - 9783030914332
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 184
EP - 196
BT - Computational Data and Social Networks - 10th International Conference, CSoNet 2021, Proceedings
A2 - Mohaisen, David
A2 - Jin, Ruoming
PB - Springer Science and Business Media Deutschland GmbH
T2 - 10th International Conference on Computational Data and Social Networks, CSoNet 2021
Y2 - 15 November 2021 through 17 November 2021
ER -