Personalization of Mobile Apps for Health Behavior Change: Protocol for a Cross-sectional Study

Table 7 presents various works related to BCTs and is categorized based on their type, focus, use, research methodology, data collection methods, model used, and conclusions. The works cover a range of topics within the domain of BCTs, including health monitoring, privacy, behavior change, physical activity, and accuracy in various contexts such as medical, health, and learning. The conclusions drawn from each study provide valuable insights into the effectiveness and applicability of different BCTs for addressing specific challenges or achieving desired outcomes. A study by Takeuchi et al. [23] investigated the influence of wearable fitness trackers on physical activity levels and heart rate in a two-arm pilot trial.

healthy behavior change through apps

#5. Calm – Best for Meditation and Sleep Improvement

  • A specific focus is placed on a case study examining the application of behavior change techniques (BCTs) for monitoring vital signs using wearables, underscoring the relevance and urgency of further investigation in this critical intersection of technology and human behavior.
  • How lived experience, emotion, and development shape the choices people make.
  • This means apps that treat 21 days as a finish line are setting users up to feel like failures right when the real neurological work is just beginning.
  • Table 1 summarizes the systematic reviews conducted in the literature on the effectiveness of mHealth interventions with BCTs in distinct contexts and populations.
  • Therefore, the fact that most mental health app incorporated some form of personalization is not surprising considering that even people suffering from the same or similar mental health conditions may have unique needs that require individualized solutions.
  • The figure thus intricately weaves a tapestry of research and shows how different studies contribute varied yet interconnected insights into the expansive domain of wearables and their role in facilitating behavior change.

Additionally, 70.9% (90/127) of our sample identified as female; this could limit transferability to larger populations. It is also possible that our compensation strategy for participants influenced their adherence and attrition. While participants across conditions were all paid the same, it is possible that there was some interaction between compensation and self-affirmation that we cannot discern with this design.

4. Engagement measures

Some apps are specifically designed to be used with a coach to increase client autonomy and self-awareness, such as the Ate app, which has a coach dashboard. Choosing to intentionally cultivate an environment where your client can find their own way—with you being present and nonjudgmental rather than pressuring or pushing—will likely lead to their growth. The registered dietitians, fitness and tech experts in the Good Housekeeping Institute Wellness Lab evaluate apps in all sectors of health, including nutrition, wellness and fitness, carefully evaluating and considering tester responses. We look for apps that are user-friendly, contain up-to-date and effective information, are consistent in quality and are affordable. “Most apps offer a free trial, so you can give it a road test before committing to the full month or year subscription,” Sassos says.

Data Extraction

Nonadherence leads to considerable morbidity, mortality, and avoidable health care costs [9], and it may be caused by people’s intentional or unintentional behaviors. Intentional nonadherence refers to deciding not to report data based on the person’s perceptions such as incomplete disease-related knowledge. In contrast, unintentional nonadherence means that the person intends to report data but fails because of forgetfulness or carelessness.

Only 2 studies measured lifestyle changes in users of 2 commercially available apps. One trial [30] measured changes in health-related behaviors, sleep problems, and fatigue in airline pilots. It found that the intervention arm had a significant improvement in reducing the level of fatigue, improving sleep quality, increasing strenuous physical activity, and changing snacking behavior measures. The other lifestyle study was a three-arm trial to promote walking [40] that included 2 app groups, one using social motivation strategies and the other employing an individual motivation strategy, and a brochure-based control group. The 2 intervention groups both showed significant improvements in total walking time. Personalization emerged as the second most employed persuasive strategies in mental health apps.

In the realm of emerging solutions, information technologies have catalyzed groundbreaking advancements in promoting health and well-being, particularly through the proliferation of wearables and Internet of Things devices [77]. These innovative technologies are embedded with sensors and sophisticated data processing capabilities and hold immense potential to revolutionize behavior change interventions by offering personalized feedback and insights [78]. By harnessing behavior change techniques, wearables and IoT devices empower individuals to adopt healthier lifestyles and achieve sustainable behavior modifications.

Characteristics of Included Studies

During the study, participants discovered every functionality, one by one, by its representation in an image and accompanied by a short description. Then, they chose the 5 functionalities they considered to be the most motivating to stay fit. Participants were asked if they use mobile apps aiming at behavior change (such as to help them eat healthier or exercise) to find out if they were already familiar with mHealth apps and whether they already like certain functionalities. If so, we asked them to select which functionalities they used most often and which they never used. These questions allowed us to observe whether participants already familiar with mHealth prefer certain features, as well as whether they prefer the same features among the 17 proposed.

Persuasive Strategies in Other Health Domains

Testers appreciated the large food database, and that the app contains a community support feature and ways to swap recipes, although some describe it as limited. Whether you are new to meditation, intermediate or advanced, Headspace is your magic wand to putting you in a calmer, happier place. There are hundreds of mindfulness and breathing exercises to choose from, including ones geared toward improving anxiety to helping with focus and concentration with the soothing sounds of musician John Legend. Start with 3-minute meditations and build up to some of the longer practices if that’s your goal.

Study Design

Fooducate makes grocery shopping incredibly easy if you’re looking to sub out those not-so-good products for healthier options. Just scan the barcode on the food you are purchasing and you’ll get a personalized nutrition grade, pros and cons, and healthy alternatives to buy instead. Brought to you by Under Armour, Map My Walk provides you with the details on your walks and jogs with custom feedback on pace, distance, calorie burn, elevation and more.

Study Characteristics

healthy behavior change through apps

This systematic review will summarize the current mobile app technologies and their effectiveness, usability, and coherence with behavior change theory. It will identify areas of improvement (where there is no evidence of efficacy) and help inform the development of more useful and engaging mobile health apps. Around one-quarter of the physical activity apps contained features allowing users to set their own goals or update these goals. Given the large number of physical activity apps on the market, this is a clear gap in app design, particularly given the large amount of research that has already been conducted on the importance of these features [23,35,36]. However, this is consistent with previous research which indicates that many of the physical activity apps on the market have limited behavior change features [37], and their features consist mainly of step-by-step instructions for particular exercises [35]. It is also disappointing to note that goal setting was missing from alcohol and tobacco cessation apps, given the importance of goal setting in decreasing negative https://madmuscles-review.com/workout-apps/madmuscles-trustpilot-reviews/ health behaviors [38,39].

Goals

Across all domains, there is no clear trend in variance linked to specific days of the week, signifying that the impact of days on behavioral change techniques is not uniform. This diverse range in variances underscores the complexity of human behavior and the challenges in predicting or influencing it through various techniques. Moreover, these findings suggest that the effectiveness of BCTs may vary considerably depending on the day and the specific domain in which they are applied, emphasizing the need for tailored approaches in behavior change interventions.

Table 6.

However, personalization, self-monitoring and reminder remain the most employed persuasive strategies in various mental health issues. Anxiety, stress, depression, and general mental health issues were the most issues the apps in this review target. A rising number of wearable activity trackers (WATs), including popular brands such as Fitbit, Xiaomi, Garmin, and Samsung Gear Fit. Garmin is an American multinational company headquartered in Olathe, Kansas, USA.

Ancillary to the main reporting page were the exercises that were delivered once per week (on days 5, 12, 19, and 26) to participants in the booster conditions. Users received a push notification that there were questions for them to answer in the app. On tapping the notification or manually opening the app, they were greeted with a pop-up window that asked them questions. For the groups receiving self-affirmation boosters, the self-affirming questions were shown in this pop-up window, whereas controls were shown unrelated opinion questions. Trying to change often becomes a forceful inner struggle between higher-level cognitive control processes and lower-level automatic or habitual tendencies.

For example, a user who completes 5 modules in a program will obtain 100% usage on the modules’ metric of usage. However, if these modules were supposed to be completed weekly and the user only completed 3 of these on time, the user achieved 60% on the modules’ adherence metric. On the other hand, if a user completes all the activities in an app by the time they are scheduled, the user adherence is 100% [7].

Table 2 shows the patterns of participants’ smartphone use for a variety of activities. The most frequently performed activities included accessing the internet, using apps, and sending or receiving text messages. The aim of this paper is to describe the development, usability, and acceptability of the Health4Life app, a self-monitoring smartphone app for adolescents that concurrently targets the Big 6 lifestyle behaviors. The Headspace app uses mindfulness and meditation tools and resources to help you live a more mindful life. These practices are designed to support your mental well-being by helping relax your mind and establish positive, healthy habits.