OBJECTIVE: An automated health counselor agent was designed to promote both physical activity and fruit and vegetable consumption through a series of simulated conversations with users on their home computers. METHODS: The agent was evaluated in a 4-arm randomized trial of a two-month daily contact intervention comparing: (a) physical activity; (b) fruit and vegetable consumption; (c) both interventions; and (d) a non-intervention control. Physical activity was assessed using daily pedometer steps. Daily servings of fruit and vegetables were assessed using the NIH/NCI self-report Fruit and Vegetable Scan. RESULTS: Participants in the physical activity intervention increased their walking on average compared to the control group, while those in the fruit and vegetable intervention and combined intervention decreased walking. Participants in the fruit and vegetable intervention group consumed significantly more servings per day compared to those in the control group, and those in the combined intervention reported consuming more compared to those in the control group. CONCLUSION: Automated health intervention software designed for efficient re-use is effective at changing health behavior. PRACTICE IMPLICATIONS: Automated health behavior change interventions can be designed to facilitate translation and adaptation across multiple behaviors.
RCT Entities:
OBJECTIVE: An automated health counselor agent was designed to promote both physical activity and fruit and vegetable consumption through a series of simulated conversations with users on their home computers. METHODS: The agent was evaluated in a 4-arm randomized trial of a two-month daily contact intervention comparing: (a) physical activity; (b) fruit and vegetable consumption; (c) both interventions; and (d) a non-intervention control. Physical activity was assessed using daily pedometer steps. Daily servings of fruit and vegetables were assessed using the NIH/NCI self-report Fruit and Vegetable Scan. RESULTS:Participants in the physical activity intervention increased their walking on average compared to the control group, while those in the fruit and vegetable intervention and combined intervention decreased walking. Participants in the fruit and vegetable intervention group consumed significantly more servings per day compared to those in the control group, and those in the combined intervention reported consuming more compared to those in the control group. CONCLUSION: Automated health intervention software designed for efficient re-use is effective at changing health behavior. PRACTICE IMPLICATIONS: Automated health behavior change interventions can be designed to facilitate translation and adaptation across multiple behaviors.
Authors: R M Krauss; R H Eckel; B Howard; L J Appel; S R Daniels; R J Deckelbaum; J W Erdman; P Kris-Etherton; I J Goldberg; T A Kotchen; A H Lichtenstein; W E Mitch; R Mullis; K Robinson; J Wylie-Rosett; S St Jeor; J Suttie; D L Tribble; T L Bazzarre Journal: Stroke Date: 2000-11 Impact factor: 7.914
Authors: Katheryn R Christy; Jakob D Jensen; Brian Britt; Courtney L Scherr; Christina Jones; Natasha R Brown Journal: Health Syst (Basingstoke) Date: 2017-12-12
Authors: Paula M Gardiner; Kelly D McCue; Lily M Negash; Teresa Cheng; Laura F White; Leanne Yinusa-Nyahkoon; Brian W Jack; Timothy W Bickmore Journal: Patient Educ Couns Date: 2017-04-26
Authors: Jared W Magnani; Danielle Ferry; Gretchen Swabe; Deborah Martin; Xirun Chen; Maria M Brooks; Everlyne Kimani; Michael K Paasche-Orlow; Stefán Ólafsson; Timothy Bickmore; Samar R El Khoudary Journal: Am Heart J Date: 2022-06-09 Impact factor: 5.099