scholarly journals Conversational agent for healthy lifestyle behaviour change: an online feasibility study (Preprint)

10.2196/27956 ◽  
2021 ◽  
Author(s):  
Dhakshenya Ardhithy Dhinagaran ◽  
Thirunavukkarasu Sathish ◽  
AiJia Soong ◽  
Yin-Leng Theng ◽  
James Donovan Best ◽  
...  
2021 ◽  
Author(s):  
Lorainne Tudor Car ◽  
Dhakshenya Ardhithy Dhinagaran ◽  
Sathish Thirunavukkarasu ◽  
AiJia Soong ◽  
Yin-Leng Theng ◽  
...  

BACKGROUND The rising incidence of chronic diseases is a growing concern, especially in Singapore with amongst the highest prevalence of diabetes in developed countries. Interventions promoting healthy lifestyle changes have been proven effective in reducing the progression of prediabetes to diabetes, but their in-person delivery may not be feasible at a large scale. Novel technologies such as conversational agents are a potential alternative for delivery of behavioural interventions towards healthy lifestyle change for the public. OBJECTIVE To assess the feasibility and acceptability of using a conversational agent promoting healthy lifestyle changes in the general population in Singapore. METHODS We performed an online, single-arm feasibility study. Participants were recruited via Facebook over four weeks. The Facebook Messenger conversational agent was used to deliver the intervention. The conversations focused on diet, exercise, sleep and stress and aimed to promote healthy lifestyle changes and improve participants’ knowledge of diabetes. Messages were sent to participants four times a week (once for each of the four topics of focus) for four weeks. We assessed feasibility of recruitment, defined as at least 75% of our target sample of 200 participants in four weeks, as well as retention, defined as 33% of the recruited sample completing the study. We also assessed participants’ satisfaction with and usability of the conversational agent. We also performed baseline and follow-up assessments of quality of life (QoL), diabetes knowledge and risk perception, diet, exercise, sleep and stress. RESULTS We recruited 37.5% (75/200) of the target sample size in one month. Of the eligible participants, 60 provided digital informed consent and completed baseline assessments whilst 56 followed the study through till completion. Retention was high, at 93% (56/60), along with engagement, denoted by 50% of participants communicating with the conversational agent at each interaction. Acceptability, usability, and satisfaction were generally high. Preliminary efficacy of the intervention showed no definitive improvements in health-related behaviour. CONCLUSIONS The delivery of a conversational agent for healthy lifestyle behaviour change via Facebook manager was feasible and acceptable. We were unable to recruit our planned sample solely using free options in Facebook. However, participant retention and conversational agent engagement rates were high. Our findings provide important insights to inform the design of a future randomised controlled trial.


Cephalalgia ◽  
2015 ◽  
Vol 36 (1) ◽  
pp. 15-28 ◽  
Author(s):  
Maria Lurenda Westergaard ◽  
Charlotte Glümer ◽  
Ebba Holme Hansen ◽  
Rigmor Højland Jensen

Aim This cross-sectional study investigated associations between chronic headache (CH) with and without medication overuse, healthy lifestyle behaviour, and stress. Methods Questionnaires were sent to 129,150 adults. Those with headache ≥15 days per month for three months were classified as having CH then further described as having medication-overuse headache (MOH) or CH without medication overuse. Associations between headache and daily smoking, physical inactivity, obesity, excessive drinking, illicit drug use, and high stress were analysed by logistic regression. Results CH with and without medication overuse (prevalence 1.8% and 1.6%, respectively) had strong, graded associations with stress. Associations with daily smoking, physical inactivity, and obesity were significant only for MOH. Odds for MOH were highest among people who had all three factors compared to those who had none (OR 2.8 in women and 5.1 in men). High stress plus any of these three factors had synergistic effects in MOH but not clearly in those who had CH without overuse. Associations between CH subtypes and excessive drinking or illicit drug use were not statistically significant. Conclusion Results suggest strong links between healthy lifestyle behaviour and stress in MOH. Stress reduction and promoting healthy behaviour are highly relevant in MOH management.


BMJ Open ◽  
2018 ◽  
Vol 8 (6) ◽  
pp. e019731 ◽  
Author(s):  
Laura Saez ◽  
Karine Legrand ◽  
Camille Alleyrat ◽  
Serge Ramisasoa ◽  
Johanne Langlois ◽  
...  

2021 ◽  
Author(s):  
Diego Rossi ◽  
Victor Ströele ◽  
Fernanda Campos ◽  
Regina Braga ◽  
José Maria N. David

Monitoring students in virtual learning environments can be a time-consuming task. Professors and tutors must accompany students in an agile manner. During the COVID-19 pandemic, the use of discussion forums posed new challenges. This work proposes a conversational agent to automatically detect which pedagogical intervention is necessary to guide students in MOOCs environments. Through the attributes of the students' post messages, it is possible to classify which action will be carried out by the agent, applying specific dialogue patterns. In some more specific cases, the tutor's attention is immediately requested. The proposal was evaluated through a feasibility study to verify if semantic detection can contribute to guide the intervention process. According to the results, it is possible to support the tutor, as only 35.2% of interactions required the tutor's action.


Nutrients ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1722
Author(s):  
Junwen Yang-Huang ◽  
Amy van Grieken ◽  
Lu Wang ◽  
Wilma Jansen ◽  
Hein Raat

This study examined the clustering of lifestyle behaviours in children aged six years from a prospective cohort study in the Netherlands. Additionally, we analysed the associations between socioeconomic status and the lifestyle behaviour clusters that we identified. Data of 4059 children from the Generation R Study were analysed. Socioeconomic status was measured by maternal educational level and net household income. Lifestyle behaviours including screen time, physical activity, calorie-rich snack consumption and sugar-sweetened beverages consumption were measured via a parental questionnaire. Hierarchical and non-hierarchical cluster analyses were applied. The associations between socioeconomic status and lifestyle behaviour clusters were assessed using logistic regression models. Three lifestyle clusters were identified: “relatively healthy lifestyle” cluster (n = 1444), “high screen time and physically inactive” cluster (n = 1217), and “physically active, high snacks and sugary drinks” cluster (n = 1398). Children from high educated mothers or high-income households were more likely to be allocated to the “relatively healthy lifestyle” cluster, while children from low educated mothers or from low-income households were more likely to be allocated in the “high screen time and physically inactive” cluster. Intervention development and prevention strategies may use this information to further target programs promoting healthy behaviours of children and their families.


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