Social and Motivational Factors for the Spread of Physical Activities in a Health Social Network

Nhat Hai Phan, David Kil, Brigitte Piniewski, Dejing Dou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publicationComputational Data and Social Networks - 10th International Conference, CSoNet 2021, Proceedings
EditorsDavid Mohaisen, Ruoming Jin
PublisherSpringer Science and Business Media Deutschland GmbH
Pages184-196
Number of pages13
ISBN (Print)9783030914332
DOIs
StatePublished - 2021
Event10th International Conference on Computational Data and Social Networks, CSoNet 2021 - Virtual Online
Duration: Nov 15 2021Nov 17 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13116 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on Computational Data and Social Networks, CSoNet 2021
CityVirtual Online
Period11/15/2111/17/21

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

Keywords

  • Obesity
  • Overweight
  • Physical activities
  • Social and motivation factors

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