Uptake of Proactively Offered Online and Telephone Support Services Targeting Multiple Health Risk Behaviors Among Vocational Education Students: Process Evaluation of a Cluster Randomized Controlled Trial

Patterns of Health-Risk Behaviours and Their Associations With Anxiety and Depression Among Chinese Young Adults by Gender: A Latent Class Analysis

This study investigated gender differences in health-risk behaviour patterns among young adults and assessed the associations of anxiety and depression with these patterns. A cross-sectional survey was conducted with 1740 young Chinese adults aged 18-24 years. Latent class analysis (LCA) and multinomial logistic regression were conducted to identify the clusters of health-risk behaviours and their associations with anxiety and depression. Three common patterns were found for both genders: physical inactivity, substance use, and insufficient fruit intake (5.7% for males [M] and 11.6% for females [F]); a sedentary lifestyle only (48.4% for M and 48.9% for F); and a sedentary lifestyle, substance use, and an unhealthy diet (7.6% for M and 20.0% for F). Additionally, two additional unique patterns were found: physical inactivity and unhealthy diet in males (38.3%) and physical inactivity and insufficient fruit intake in females (19.6%). Sociodemographic variables exert different effects on health-risk behaviour patterns as a function of gender. Lower anxiety levels (odds ratio [OR]: 0.892; 95% confidence interval [CI]: 0.823-0.966) and greater depression levels (OR: 1.074; 95% CI: 1.008-1.143) were associated with a sedentary lifestyle, substance use, and unhealthy diet class only in female young adults compared with a sedentary-only class. These findings underscore the need for the implementation of targeted interventions based on gender differences.

The Effect of Periodic Email Prompts on Participant Engagement with a Behavior Change mHealth App: Longitudinal Study (Preprint)

BACKGROUND

Following the need for the prevention of noncommunicable diseases, mobile health (mHealth) apps are increasingly used for promoting lifestyle behavior changes. Although mHealth apps have the potential to reach all population segments, providing accessible and personalized services, their effectiveness is often limited by low participant engagement and high attrition rates.

OBJECTIVE

This study concerns a large-scale, open-access mHealth app, based in the Netherlands, focused on improving the lifestyle behaviors of its participants. The study examines whether periodic email prompts increased participant engagement with the mHealth app and how this effect evolved over time. Points gained from the activities in the app were used as an objective measure of participant engagement with the program. The activities considered were physical workouts tracked through the mHealth app and interactions with the web-based coach.

METHODS

The data analyzed covered 22,797 unique participants over a period of 78 weeks. A hidden Markov model (HMM) was used for disentangling the overtime effects of periodic email prompts on participant engagement with the mHealth app. The HMM accounted for transitions between latent activity states, which generated the observed measure of points received in a week.

RESULTS

The HMM indicated that, on average, 70% (15,958/22,797) of the participants were in the inactivity state, gaining 0 points in total per week; 18% (4103/22,797) of the participants were in the average activity state, gaining 27 points per week; and 12% (2736/22,797) of the participants were in the high activity state, gaining 182 points per week. Receiving and opening a generic email was associated with a 3 percentage point increase in the likelihood of becoming active in that week, compared with the weeks when no email was received. Examining detailed email categories revealed that the participants were more likely to increase their activity level following emails that were in line with the program's goal, such as emails regarding health campaigns, while being resistant to emails that deviated from the program's goal, such as emails regarding special deals.

CONCLUSIONS

Participant engagement with a behavior change mHealth app can be positively influenced by email prompts, albeit to a limited extent. Given the relatively low costs associated with emails and the high population reach that mHealth apps can achieve, such instruments can be a cost-effective means of increasing participant engagement in the stride toward improving program effectiveness.

Barriers and Facilitators to the Uptake of Online and Telephone Services Targeting Health Risk Behaviours among Vocational Education Students: A Qualitative Study

Uptake of online and telephone services targeting health behaviours is low among vocational education students and barriers and facilitators are unknown. This study aimed to explore barriers and facilitators to uptake of online and telephone services for smoking, nutrition, alcohol, and physical activity (SNAP) risk behaviours via semi-structured individual telephone interviews with fifteen vocational education students. Two authors independently completed thematic analysis, classified themes according to the COM-B (Capability, Opportunity, Motivation, Behaviour) framework, and discussed disagreements until consensus was reached. Facilitators to uptake of online (e.g., desire to learn something new, cost-free, accessible) and telephone services (e.g., prefer to talk to provider, complements online support) primarily related to capability and opportunity. For telephone services, difficulty understanding accent/language was a capability-related barrier. Opportunity-related barriers for online and telephone services were preference for face-to-face interaction and lack of time, while preference for apps/online programs was a barrier for telephone services. For online and telephone services, not wanting to change SNAP behaviours was a motivation-related barrier and being able to change SNAP risk behaviours themselves was a motivation-related barrier for online services. Barriers and facilitators to online and telephone services are relevant for designing interventions vocational education students are more likely to use.