Implications of the COVID-19 trajectory for the evaluation of hand hygiene interventions: Secondary analysis of the Soapp trial.

Hand hygiene behavior is crucial to counter the spread of infectious diseases. However, its adoption during the early stages of the Coronavirus disease (COVID-19) pandemic showed temporal fluctuations associated with the trajectory of the pandemic (e.g. new COVID-19 infections). Such associations can confound conclusions about the effectiveness of interventions aimed at promoting hand hygiene during a pandemic. In this study, we performed a secondary analysis of a dataset from the optimization phase of Soapp, an app to promote hand hygiene during the COVID-19 pandemic. We used a longitudinal study design to test whether the associations between the pandemic trajectory and hand hygiene behavior were still present one year after the outbreak (primary outcome) and whether they impacted conclusions about the effectiveness of Soapp (secondary outcome). Participants (N = 216) were randomized to different versions of Soapp and used an electronic diary to self-report their hand hygiene behavior multiple times during the study. We considered the following indicators of the COVID-19 pandemic from the country of Switzerland in the period between March and August 2021: total cases/deaths, increases in recent new cases/deaths, new cases/deaths, and number of administered doses of vaccine. Data were analyzed using a multilevel approach. Results suggested that there were no significant associations between hand hygiene and the indicators of the pandemic trajectory. However, models including total cases/deaths impacted the conclusions about Soapp's effectiveness. Implications from this study are that the development and evaluation of hand hygiene interventions during a pandemic context should account for the trajectory indicators to maximize their effectiveness and control for confounding effects.

Hand hygiene is an effective behavior for decreasing the transmission of infectious diseases, including Coronavirus disease (COVID-19). During the early stages of the COVID-19 pandemic, hand hygiene was in part related to how the pandemic evolved over time (pandemic trajectory), e.g., how many people were affected or the number of deaths. We argue that such associations can confound conclusions about the effectiveness of interventions aimed at promoting hand hygiene during a pandemic. To test this hypothesis, we estimated how indicators of the pandemic trajectory influenced the evaluation of a smartphone app developed to promote hand hygiene during COVID-19. Our analysis included 216 participants who used the app for 34 days between March and August 2021 and reported their hand hygiene behavior using an electronic diary. Information on the pandemic trajectory were extracted from the World Health Organization database. Results confirmed that hand hygiene behavior increased with the use of the app when accounting for most pandemic trajectory indicators. However, this effect disappeared when accounting specifically for the total number of cases and deaths since the beginning of the pandemic. These results underline the importance of considering the pandemic trajectory when evaluating the efficacy of behavior change interventions carried out during an ongoing pandemic.

Resilience characterized and quantified from physical activity data: A tutorial in R.

Consistent physical activity is key for health and well-being, but it is vulnerable to stressors. The process of recovering from such stressors and bouncing back to the previous state of physical activity can be referred to as resilience. Quantifying resilience is fundamental to assess and manage the impact of stressors on consistent physical activity. In this tutorial, we present a method to quantify the resilience process from physical activity data. We leverage the prior operationalization of resilience, as used in various psychological domains, as area under the curve and expand it to suit the characteristics of physical activity time series. As use case to illustrate the methodology, we quantified resilience in step count time series (length = 366 observations) for eight participants following the first COVID-19 lockdown as a stressor. Steps were assessed daily using wrist-worn devices. The methodology is implemented in R and all coding details are included. For each person's time series, we fitted multiple growth models and identified the best one using the Root Mean Squared Error (RMSE). Then, we used the predicted values from the selected model to identify the point in time when the participant recovered from the stressor and quantified the resulting area under the curve as a measure of resilience for step count. Further resilience features were extracted to capture the different aspects of the process. By developing a methodological guide with a step-by-step implementation, we aimed at fostering increased awareness about the concept of resilience for physical activity and facilitate the implementation of related research.

Promoting Hand Hygiene During the COVID-19 Pandemic: Parallel Randomized Trial for the Optimization of the Soapp App.

BACKGROUND: Hand hygiene is an effective behavior for preventing the spread of the respiratory disease COVID-19 and was included in public health guidelines worldwide. Behavior change interventions addressing hand hygiene have the potential to support the adherence to public health recommendations and, thereby, prevent the spread of COVID-19. However, randomized trials are largely absent during a pandemic; therefore, there is little knowledge about the most effective strategies to promote hand hygiene during an ongoing pandemic. This study addresses this gap by presenting the results of the optimization phase of a Multiphase Optimization Strategy of Soapp, a smartphone app for promoting hand hygiene in the context of the COVID-19 pandemic. OBJECTIVE: This study aimed to identify the most effective combination and sequence of 3 theory- and evidence-based intervention modules (habit, motivation, and social norms) for promoting hand hygiene. To this end, 9 versions of Soapp were developed (conditions), and 2 optimization criteria were defined: the condition with the largest increase in hand hygiene at follow-up and condition with the highest engagement, usability, and satisfaction based on quantitative and qualitative analyses. METHODS: This study was a parallel randomized trial with 9 intervention conditions defined by the combination of 2 intervention modules and their sequence. The trial was conducted from March to August 2021 with interested participants from the Swiss general population (N=232; randomized). Randomization was performed using Qualtrics (Qualtrics International Inc), and blinding was ensured. The duration of the intervention was 34 days. The primary outcome was self-reported hand hygiene at follow-up, which was assessed using an electronic diary. The secondary outcomes were user engagement, usability, and satisfaction assessed at follow-up. Nine participants were further invited to participate in semistructured exit interviews. A set of ANOVAs was performed to test the main hypotheses, whereas a thematic analysis was performed to analyze the qualitative data. RESULTS: The results showed a significant increase in hand hygiene over time across all conditions. There was no interaction effect between time and intervention condition. Similarly, no between-group differences in engagement, usability, and satisfaction emerged. Seven themes (eg, "variety and timeliness of the task load" and "social interaction") were found in the thematic analysis. CONCLUSIONS: The effectiveness of Soapp in promoting hand hygiene laid the foundation for the next evaluation phase of the app. More generally, the study supported the value of digital interventions in pandemic contexts. The findings showed no differential effect of intervention conditions involving different combinations and sequences of the habit, motivation, and social norms modules on hand hygiene, engagement, usability, and satisfaction. In the absence of quantitative differences, we relied on the results from the thematic analysis to select the best version of Soapp for the evaluation phase. TRIAL REGISTRATION: ClinicalTrials.gov NCT04830761; https://clinicaltrials.gov/ct2/show/NCT04830761. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1136/bmjopen-2021-055971.

Day-to-day associations between sleep and physical activity: a set of person-specific analyses in adults with overweight and obesity.

The objective of the present study was to estimate whether physical activity on one day was associated with both sleep quality and quantity the following night and to examine to what extent sleep on one night was associated with physical activity the next day. We collected data from 33 young adults who were overweight or obese and consistently wore a Fitbit Charge 3. A total of 7094 days and nights were analyzed. Person-specific models were conducted to test the bi-directional associations for each participant separately. Results suggest an absence of association between steps and sleep efficiency in the two directions. More heterogeneous results were observed for the association between steps and total sleep time, with 19 participants (58%) showing a negative association between total sleep time and next day steps, and 9 (27%) showing a negative association between steps and next day total sleep time. Taken together, these results suggest a potential conflicting association between total sleep time and physical activity for some participants. Pre- and post-print doi: https://doi.org/10.31236/osf.io/nfjqv ; supplemental material: https://osf.io/y7nxg/ .

Characterizing and predicting person-specific, day-to-day, fluctuations in walking behavior.

Despite the positive health effect of physical activity, one third of the world's population is estimated to be insufficiently active. Prior research has mainly investigated physical activity on an aggregate level over short periods of time, e.g., during 3 to 7 days at baseline and a few months later, post-intervention. To develop effective interventions, we need a better understanding of the temporal dynamics of physical activity. We proposed here an approach to studying walking behavior at "high-resolution" and by capturing the idiographic and day-to-day changes in walking behavior. We analyzed daily step count among 151 young adults with overweight or obesity who had worn an accelerometer for an average of 226 days (~25,000 observations). We then used a recursive partitioning algorithm to characterize patterns of change, here sudden behavioral gains and losses, over the course of the study. These behavioral gains or losses were defined as a 30% increase or reduction in steps relative to each participants' median level of steps lasting at least 7 days. After the identification of gains and losses, fluctuation intensity in steps from each participant's individual time series was computed with a dynamic complexity algorithm to identify potential early warning signals of sudden gains or losses. Results revealed that walking behavior change exhibits discontinuous changes that can be described as sudden gains and losses. On average, participants experienced six sudden gains or losses over the study. We also observed a significant and positive association between critical fluctuations in walking behavior, a form of early warning signals, and the subsequent occurrence of sudden behavioral losses in the next days. Altogether, this study suggests that walking behavior could be well understood under a dynamic paradigm. Results also provide support for the development of "just-in-time adaptive" behavioral interventions based on the detection of early warning signals for sudden behavioral losses.

Goal setting and achievement for walking: A series of N-of-1 digital interventions.

OBJECTIVE: Despite evidence that goal setting is valuable for physical activity promotion, recent studies highlighted a potential oversimplification in the application of this behavior change technique. While more difficult performance goals might trigger higher physical activity levels, higher performance goals might concurrently be more difficult to achieve, which could reduce long-term motivation. This study examined (a) the association between performance goal difficulty and physical activity and (b) the association between performance goal difficulty and goal achievement. METHOD: This study used data from an e-Health intervention among inactive overweight adults (n = 20). The study duration included a 2-week baseline period and an intervention phase of 80 days. During the intervention, participants received a daily step goal experimentally manipulated by taking participants' baseline physical activity median (i.e., number of steps) multiplied by a pseudorandom factor ranging from 1 to 2.6. A continuous measure of goal achievement was inferred for each day by dividing the daily number of steps by the goal prescribed that day. Linear and generalized additive models were fit for each participant. RESULTS: The results confirm that, for a majority of the participants involved in the study, performance goal difficulty was positively and significantly associated with physical activity (n = 14), but, concurrently, negatively and significantly associated with goal achievement (n = 19). These associations were mainly linear. CONCLUSION: At the daily level, setting a higher physical activity goal leads to engaging in higher physical activity levels, but concurrently lower goal achievement. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Engagement Features in Physical Activity Smartphone Apps: Focus Group Study With Sedentary People.

BACKGROUND: Engagement with physical activity mobile apps has been reported to be a core precondition for their effectiveness in digital behavior change interventions. However, to date, little attention has been paid to understanding the perspectives, needs, expectations, and experiences of potential users with physical activity mobile apps. OBJECTIVE: The aim of this study was to investigate the features that are judged to be important for engagement with a physical activity mobile app and the reasons for their importance. METHODS: A qualitative focus-group methodology with elements of co-design was adopted in this study. Participants reporting sedentary lifestyles and willingness to improve their physical activity behavior through mobile technology were recruited. The focus group sessions consisted of 13 participants (8 men and 5 women, mean [SD] age 41.9 [7.1] years). Two researchers conducted the data analysis independently by using the inductive thematic approach. RESULTS: Four main themes emerged in relation to the research question and were named as follows: "physical activity participation motives," "autonomy and self-regulation," "need for relatedness," and "smart." Additionally, 2 subthemes originated from "physical activity participation motives" (ie, "medical guidance" and "weight loss and fitness for health") and "smart" (ie, "action planning" and "adaptable and tailored"). CONCLUSIONS: Features enhancing autonomy and self-regulation and positively affecting health and physical well-being as well as the need for relatedness, adaptability, and flexibility should be considered as core elements in the engagement of potential users with physical activity mobile apps. The emerged findings may orient future research and interventions aiming to foster engagement of potential users with physical activity apps.

Modelling multiple health behavior change with network analyses: results from a one-year study conducted among overweight and obese adults.

This study examined the between-person associations of seven health behaviors in adults with obesity participating in a weight loss intervention, as well as the covariations between these behaviors within-individuals across the intervention. The present study included data from a 12-month weight loss trial (N = 278). Seven health behaviors (physical activity, sedentary behavior, sleep duration, and consumption of fruits, vegetables, total fat and added sugar) were measured at baseline, 6- and 12-months. Between- and within-participants network analyses were conducted to examine how these behaviors were associated through the 12-month intervention and covaried across months. At the between-participants level, associations were found within the different diet behaviors and between total fat and sedentary behaviors. At the within-participants level, covariations were found between sedentary and diet behaviors, and within diet behaviors. Findings suggest that successful multiple health behaviors change interventions among adults with obesity will need to (1) simultaneously target sedentary and diet behaviors; and (2) prevent potential compensatory behaviors in the diet domain.

Implementation of the goal-setting components in popular physical activity apps: Review and content analysis.

OBJECTIVE: Goal setting is an effective strategy to promote physical activity. Commercial apps that tackle physical activity often include goal setting; however, it is unknown whether the implementation of the goal-setting components is congruent with the theory. This study evaluated the quality of goal setting in popular free and paid physical activity apps by assessing the presence of effective goal-setting components. METHODS: A six-item scale was developed based on the goal-setting literature and used for coding each app for the presence/absence of goal-setting components (i.e. specificity, difficulty, action planning, timeframe, goal evaluation and goal re-evaluation). Cohen's Kappa was used to evaluate inter-rater reliability for each scale item. The number of goal-setting components included in the 40 apps was calculated and the difference between free and paid apps was assessed. RESULTS: All scale items achieved satisfactory inter-rater reliability except 'goal evaluation'. The most frequently included goal-setting components in popular physical activity apps were 'goal specificity' (95% of the apps) and 'goal timeframe' (67.5%). Conversely, only 47.5% and 25% of the apps implemented 'action planning' and 'goal difficulty', respectively, and none included 'goal re-evaluation'. No differences emerged between free and paid apps. CONCLUSIONS: The quality of the goal-setting strategy in popular physical activity apps could be improved by introducing components scarcely implemented to date. In particular, tailoring the goal difficulty to the users' ability level and re-evaluating the goals based on achievements should be implemented to increase the quality of goal setting.

Exploring Users' Experiences of the Uptake and Adoption of Physical Activity Apps: Longitudinal Qualitative Study.

BACKGROUND: Although smartphone apps might support physical activity (PA), engagement with them tends to be low. OBJECTIVE: This study aimed to examine potential users' needs and preferences regarding their engagement with PA apps during a first exposure to a never-used PA app and after 2 weeks' usage. METHODS: A longitudinal, one-arm qualitative study was conducted with potential PA app users. At baseline, participants (N=20) were asked to explore 1 of 3 randomly allocated PA apps while thinking aloud. Semistructured interview techniques allowed participants to elaborate on their statements. After 2 weeks, follow-up interviews explored participants' (n=17) lived experiences of real-world app use. Verbal reports from both time points were analyzed using inductive thematic analysis. RESULTS: Features that promote a fair and simple user experience, support users' self-regulation skills, and address users' exercise motives were considered important for engagement both during a first exposure and after a 2-week use of PA apps. Features that support users' need for relatedness as well as those that facilitate users to implement their intentions were expected to be important for engagement mainly during a first exposure to PA apps. Proactive and tailored features that integrate behavioral, psychological, and contextual information to provide adaptive exercise plans and just-in-time support were considered relevant to sustain engagement over time. CONCLUSIONS: App features that address users' exercise motives, promote self-regulation, and fulfill users' need for relatedness might promote engagement with PA apps. Tailored and proactive features were expected to promote sustained engagement.

Engagement features judged by excessive drinkers as most important to include in smartphone applications for alcohol reduction: A mixed-methods study.

OBJECTIVE: Engagement with smartphone applications (apps) for alcohol reduction is necessary for their effectiveness. This study explored (1) the features that are ranked as most important for engagement by excessive drinkers and (2) why particular features are judged to be more important for engagement than others. METHODS: Two studies were conducted in parallel. The first was a focus group study with adult excessive drinkers, interested in reducing alcohol consumption using an app (n groups = 3). Participants individually ranked their top 10 features from a pre-specified list and subsequently discussed their rankings. The second was an online study with a new sample (n = 132). Rankings were analysed using the intraclass correlation coefficient (ICC) to assess the level of agreement between raters for each study. Qualitative data were analysed using inductive thematic analysis. RESULTS: There was low agreement between participants in their rankings, both in the focus groups (ICC = 0.15, 95% confidence interval (CI) = 0.03-0.38) and the online sample (ICC = 0.11, 95% CI = 0.06-0.23). 'Personalisation', 'control features' and 'interactive features' were most highly ranked in the focus groups. These were expected to elicit a sense of benefit and usefulness, adaptability, provide motivational support or spark users' interest. Results from the online study partly corroborated these findings. CONCLUSION: There was little agreement between participants, but on average, the features judged to be most important for inclusion in smartphone apps for alcohol reduction were personalisation, interactive features and control features. Tailoring on users' underlying psychological needs may promote engagement with alcohol reduction apps.