Physical activity behaviour change driven from engagement with an incentive-based app : evaluating the impact of Sweatcoin

Background Now the fourth leading cause of death, physical inactivity is a primary element of non-communicable diseases. Despite a great number of attempts, there is still a lack of effective approaches that can motivate sedentary populations to increase their levels of physical activity over a sustained period. Financial and non-financial incentives for exercise can provide an immediate reward for increasing activity levels, but due to limited funding to provide rewards, previous programmes using this approach have only shown short-term changes in behaviour. Sweatcoin, a UK-based technology company, has developed a digital platform that tracks and verifies physical movement to convert it into virtual currency. The currency can subsequently be exchanged for goods and services on their marketplace, providing a continuous incentive to be active. This study investigates the physical activity behaviour change observed in Sweatcoin users over a 6-month period of app usage. Objective To investigate the change in physical activity (measured using daily step-count) of Sweatcoin users following registration with the app, the longevity of the change and whether this change can be predicted through and driven by demographic and other lifestyle variables. Methods Activity data from a sample of 5,406 Sweatcoin users was used to analyse daily step count. Activity change was measured in terms of the percentage change in average daily step count for each month after registration, relative to that in the 3 months prior to the app being used. A subset of over 800 users completed a questionnaire capturing demographic and activity information. Change in activity behaviour following app download was calculated and users were grouped according to having no/negative, moderate or high activity change. Differences between groups in terms of activity and demographic status were investigated using regression analyses. Seasonal effects were also investigated and accounted for. Results Analyses show an overall average increase in daily step count of 19.5% over the 6-months following registration, in comparison to 3-months prior to registration (P<.001). Of the questionnaire respondents, 678 were valid responses. Of those, 34% were identified to have shown high levels of behaviour change following app registration. The logistic regression identified the key drivers of high activity behaviour change. There was an obvious impact of seasonality, with those registering the app in winter (OR, 6.89, p<.001) or spring (OR, 5.87, p=.002) were more likely to show high activity behaviour change than those registering in summer. More striking were the results identifying those classified as overweight (measured through body mass index (BMI); OR, 2.22, p=.014) and less active (based on self-report scale of physical activity; OR, 0.85, p=.037), being most likely to show high levels of physical activity change following registration with app. Conclusions The results highlight that an incentives-based app can induce significant sustainable physical activity behaviour change. Importantly, the results suggest that those typically lacking motivation to exercise (sedentary and high BMI) are most likely to be incentivised to increase their activity levels

Behavior change interventions: the potential of ontologies for advancing science and practice

A central goal of behavioral medicine is the creation of evidence-based interventions for promoting behavior change. Scientific knowledge about behavior change could be more effectively accumulated using "ontologies." In information science, an ontology is a systematic method for articulating a "controlled vocabulary" of agreed-upon terms and their inter-relationships. It involves three core elements: (1) a controlled vocabulary specifying and defining existing classes; (2) specification of the inter-relationships between classes; and (3) codification in a computer-readable format to enable knowledge generation, organization, reuse, integration, and analysis. This paper introduces ontologies, provides a review of current efforts to create ontologies related to behavior change interventions and suggests future work. This paper was written by behavioral medicine and information science experts and was developed in partnership between the Society of Behavioral Medicine's Technology Special Interest Group (SIG) and the Theories and Techniques of Behavior Change Interventions SIG. In recent years significant progress has been made in the foundational work needed to develop ontologies of behavior change. Ontologies of behavior change could facilitate a transformation of behavioral science from a field in which data from different experiments are siloed into one in which data across experiments could be compared and/or integrated. This could facilitate new approaches to hypothesis generation and knowledge discovery in behavioral science

Sexual health education for behavior change: How much is enough?

Purpose: Successful implementation of sexual health curricula in school settings is often compromised by competing academic priorities. This study explores the association between exposure to sexual health lessons (time-on-task in hours and lesson content topics) and delayed sexual initiation of middle school students at long term follow-up. Methods: Post hoc data analysis was conducted from a RCT (n=15 middle schools) in the south-central U.S. in which grade 7 students demonstrated delayed sexual initiation (adjusted odds ratio [AOR]: 1.54, 95% CI: 1.20 to 1.99) by grade 9 follow-up after using It’s Your Game (IYG), a 24 lesson sexual health curriculum. Logistic regression was conducted on a sub-sample of 314 grade 7 and 8 students who received IYG and who were sexually inexperienced at baseline, adjusting for covariates of age, gender, and race/ethnicity to address the impact of lesson exposure variables (time-on-task in hours and type of sexual health content) on initiation of any sex by grade 9. Results: The greatest impact of exposure on delayed sexual initiation was a duration of 13 or more lesson hours (OR = 8.40; p\u3c0.05) and exposure to lesson content on HIV/STI and pregnancy consequences (OR = 4.93; p\u3c0.05). Conclusions: Results support previous exposure studies and provide guidance on how effective sexual health curricula can meet the challenges of delivery in a reduced and competitive academic environment

Social support, social control and health behavior change in spouses

Our work on support processes in intimate relationships has focused on how partners in committed relationships help one another contend with personal difficulties, and how partners elicit and provide support in their day-to-day interactions. We are particularly interested in how these support skills relate to marital outcomes (Pasch & Bradbury, 1998; Pasch, Harris, Sullivan, & Bradbury, 2004; Sullivan, Pasch, Eldridge, & Bradbury, 1998) and how they relate to behavior change in spouses (Sullivan, Pasch, Johnson, & Bradbury, 2006), especially health behavior changes. In this chapter, we review research examining the effects of social support and social control on spouses\u27 health behaviors, propose a theory to account for discrepancies in these findings, and report initial data examining the usefulness of this theory in understanding the relationship between social support, social control, and partner health behavior

Stages of health behavior change and factors associated with physical activity in patients with intermittent claudication

OBJECTIVE: To analyze, in people with intermittent claudication, the frequency of individuals who are in each of stages of health behavior change to practice physical activity, and analyze the association of these stages with the walking capacity. METHODS: We recruited 150 patients with intermittent claudication treated at a tertiary center, being included those > 30-year-old-individuals and who had ankle-arm index < 0.90. We obtained socio-demographic information, presence of comorbidities and cardiovascular risk factors and stages of health behavior change to practice physical activity through a questionnaire, they being pre-contemplation, contemplation, preparation, action and maintenance. Moreover, the walking capacity was measured in a treadmill test (Gardner protocol). RESULTS: Most individuals were in the maintenance stage (42.7%), however, when the stages of health behavior change were categorized into active (action and maintenance) and inactive (pre-contemplation, contemplation and preparation), 51.3% of the individuals were classified as inactive behavior. There was no association between stages of health behavior change, sociodemographic factors and cardiovascular risk factors. However, patients with intermittent claudication who had lower total walking distance were three times more likely to have inactive behavior. CONCLUSION: Most patients with intermittent claudication showed an inactive behavior and, in this population, lower walking capacity was associated with this behavior

Behavior Change and HIV Prevention: (Re)Considerations for the 21st Century

Outlines the evidence base for the effectiveness of HIV-prevention programs aimed at reducing high-risk behaviors. Discusses elements of successful programs, challenges and limitations, and recommendations for expanding behavioral prevention programs

Kako učitelji-trenerji vplivajo na pomembne spremembe v vedenju športnih trenerjev?

This article provides an overview of how coach educators influence meaningful behavior change in sports coaches. Drawing upon the extant research, we outline gaps in the literature before reviewing key factors that influence behavior change in sport coaches. The framework for this article provides examples of five specific hypotheses, including: H1: Ensure coach education programs are structured and sequenced; H2: Coach characteristics drive behaviors: H3: Behavior change is more likely to occur when coaches understand the impact of their behavior: H4: The learning environment must align with needs of coaches; and H5: Delivering and receiving feedback appropriately informs coach education practice. We include evidence of how an experienced coach educator influences meaningful behavior change in sports coaches. We conclude with recommendations for sport coach development programs and future researchers.//Prispevek obsega pregled, kako učitelji-trenerji vplivajo na pomembne spremembe v vedenju športnih trenerjev. Na podlagi obstoječih raziskav smo prikazali vrzeli v literaturi, nato pa smo pregledali glavne dejavnike, ki vplivajo na spremembo vedenja športnih trenerjev. Okvir tega prispevka so primeri petih specifičnih hipotez, in sicer H1: zagotovitev, da so programi izobraževanja trenerjev strukturirani in izvedeni zaporedno; H2: značilnosti trenerjev pogojujejo njihovo vedenje; H3: sprememba vedenja se bolj verjetno pojavi, kadar trenerji razumejo vpliv svojega vedenja; H4: učno okolje je treba uskladiti s potrebami trenerjev in H5: ustrezno dajanje in prejemanje povratnih informacij izpopolnjuje prakso izobraževanja trenerjev. Predstavljamo tudi dokaze, kako izkušen učitelj-trener vpliva na pomembne spremembe vedenja športnih trenerjev. Prispevek se zaključi s priporočili za programe razvoja športnih trenerjev in bodočih raziskovalcev