There are thousands of apps promoting dietary improvement, increased physical activity (PA) and weight management. Despite a growing number of reviews in this area, popular apps have not been ...comprehensively analysed in terms of features related to engagement, functionality, aesthetics, information quality, and content, including the types of change techniques employed.
The databases containing information about all Health and Fitness apps on GP and iTunes (7,954 and 25,491 apps) were downloaded in April 2015. Database filters were applied to select the most popular apps available in both stores. Two researchers screened the descriptions selecting only weight management apps. Features, app quality and content were independently assessed using the Mobile App Rating Scale (MARS) and previously-defined categories of techniques relevant to behaviour change. Inter-coder reliabilities were calculated, and correlations between features explored.
Of the 23 popular apps included in the review 16 were free (70%), 15 (65%) addressed weight control, diet and PA combined; 19 (83%) allowed behavioural tracking. On 5-point MARS scales, apps were of average quality (Md = 3.2, IQR = 1.4); "functionality" (Md = 4.0, IQR = 1.1) was the highest and "information quality" (Md = 2.0, IQR = 1.1) was the lowest domain. On average, 10 techniques were identified per app (range: 1-17) and of the 34 categories applied, goal setting and self-monitoring techniques were most frequently identified. App quality was positively correlated with number of techniques included (rho = .58, p < .01) and number of "technical" features (rho = .48, p < .05), which was also associated with the number of techniques included (rho = .61, p < .01). Apps that provided tracking used significantly more techniques than those that did not. Apps with automated tracking scored significantly higher in engagement, aesthetics, and overall MARS scores. Those that used change techniques previously associated with effectiveness (i.e., goal setting, self-monitoring and feedback) also had better "information quality".
Popular apps assessed have overall moderate quality and include behavioural tracking features and a range of change techniques associated with behaviour change. These apps may influence behaviour, although more attention to information quality and evidence-based content are warranted to improve their quality.
A large number of mobile health (mHealth) apps have been created to help users to manage their health or receive health care services. Many of these mHealth apps have proven to be helpful for ...maintaining or improving their users' health. However, many people still choose not to use mHealth apps or only use them for a short period. One of the reasons behind this lack of use is the concern for their health information security and privacy.
The goal of this study was to determine the relationship between users' characteristics and their security and privacy concerns and to identify desired security features in mHealth apps, which could reduce these concerns.
A questionnaire was designed and validated by the research team. This questionnaire was then used to determine mobile app users' security and privacy concerns regarding personal health data in mHealth apps as well as the security features most users' desire. A semistructured interview was used to identify barriers to and facilitators of adopting mHealth apps.
In total, 117 randomly selected study participants from a large pool took part in this study and provided responses to the validated questionnaire and the semistructured interview questions. The results indicate that most study participants did have concerns about their privacy when using mHealth apps. They also expressed their preferences regarding several security features in mHealth apps, such as regular password updates, remote wipe, user consent, and access control. An association between their demographic characteristics and their concerns and preferences in security and privacy was identified; however, in most cases, the differences among the different demographic groups were not statistically significant, except for a few very specific aspects. These study participants also indicated that the cost of apps and lack of security features in mHealth apps were barriers for adoption, whereas having free apps, strong but easy-to-use security features, and clear user protection privacy policies might encourage them to use mHealth apps in their health management.
This questionnaire and interview study verified the security and privacy concerns of mHealth app users, identified the desired security and privacy features, and determined specific barriers to and facilitators of users adopting mHealth apps. The results can be used to guide mHealth app developers to create apps that would be welcomed by users.
In the digital era, our lives are intrinsically linked to the daily use of mobile applications. As a consequence, we generate and transmit a large amount of personal data that puts our privacy in ...danger. Despite having encrypted communications, the DNS traffic is usually not encrypted, and it is possible to extract valuable information from the traffic generated by mobile applications. This study focuses on the analysis of the DNS traffic behavior found in mobile application traces, developing a methodology capable of identifying mobile applications based on the domains they query. With this methodology, we were able to identify apps with 98% accuracy. Furthermore, we have validated the effectiveness of the characterization obtained with one dataset by identifying traces from other independent datasets. The evaluation showed that the methodology provides successful results in identifying mobile applications.
•Thorough analysis of app DNS traffic, including temporal patterns, and the impact of TTLs and caching.•Novel methodology for app identification based on DNS traffic analysis, offering a less computationally intensive approach.•High app identification accuracy, achieving a 98% accuracy in identifying apps by focusing solely on DNS queries.•Evaluation of the time required for app identification.•Evaluation of the effectiveness of the app identification methodology in a more realistic setting where users frequently switch between multiple apps.•Successful application of the methodology to identify apps in traffic traces captured by different research teams, in diverse environments and time periods, demonstrating its robustness and versatility across varied datasets.
THE QUALITY OF FREE APPLICATIONS AVAILABLE FOR KIDS 2 TO 3 YEARS OLD da Costa, Lucas Barbosa; Corrêa, Evelyn Daynnara Miranda; Rocha, Lóren Beatriz ...
Revista brasileira de fisioterapia (São Carlos (São Paulo, Brazil)),
April 2024, 2024-04-00, Letnik:
28
Journal Article
Recenzirano
Early childhood is a crucial period for the individual since it promotes child growth and development, which is influenced by environmental resources, types of toys, family practices, among others. ...Currently, digital media are one of the main pastimes of children, whose use is growing exponentially. There is a great offer of applications in virtual stores, without corresponding to their quality, which aim only to entertain and distract the user. Therefore, it is necessary to investigate whether the available applications are able to promote interactivity and children's learning, in addition to offering recreational and educational content that stimulate the potential of that age group.
Evaluate the interactivity and learning of games/applications for children aged between two and three years, available free of charge on the internet.
This is a descriptive study, preliminary to the development of a randomized controlled study. It started with the search and selection of applications in the Google Play® online store, compatible with the Samsung A7 Tablet operating system; associated with Google search and the Tablet's own app store, combining terms for learning and interactivity purposes. Then, each application was used by 15 two- to three-year-old children from a municipal public education institution, in a single session to verify the following criteria: (1) interactivity: critical thinking, active participation, decision-making; (2) learning: activities that stimulate cognitive, fine motor, receptive language, expressive language, and social-emotional development; (3) suitability: age, developmental period, multiple domains and (4) outcomes: challenging, non-frustrating activity that provides feedback. For analysis, a form was produced with 15 questions evaluating learning, interactivity, suitability, and results, with response options on a Likert scale, where 0 (“not at all”) to 3 (“quite a lot”), completed by the researchers through the participant observation technique. For the analysis of responses, scores were calculated on each axis, with a maximum value of 1.00, with 0.6 being the minimum value considered appropriate.
By combining the terms searched, 20 applications were found, of which only 7 were selected because they were age-appropriate and freely available. As for the evaluated criteria, the apps obtained an average score of 0.74 in the learning item (0.59 - 0.84), 0.82 in interactivity (0.41-0.95), 0.78 in adequacy (0. .53 -0.90) and 0.81 in the results item (0.47 – 0.96).
Just over 2/3 of the applications showed good results in terms of interactivity, learning, adequacy, and result, revealing their potential to stimulate critical thinking, active participation and decision-making in children, as well as to enhance their development. child development.
Guiding the population not only about the best apps, but also about the search and selection criteria, giving autonomy to those responsible for identifying games that will benefit the children who will use them. In addition, the selection of applications contributed to the realization of a randomized study, which has the purpose of investigating the influence of passive and active media on child development.
Manuscript Clarification Peart, Daniel J; Balsalobre-Fernández, Carlos; Shaw, Matthew P
Journal of strength and conditioning research,
12/2020, Letnik:
34, Številka:
12
Journal Article
With the advancement of mobile technologies, smartphone applications (apps) have become widely available and gained increasing attention as a novel tool to deliver dermatologic care. This article ...presents a review of various apps for skin monitoring and melanoma detection and a discussion of current limitations in the field of dermatology. Concerns regarding quality, transparency, and reliability have emerged because there are currently no established quality standards or regulatory oversight of mobile medical apps. Only a few apps have been evaluated clinically. Further research is needed to evaluate the utility and efficacy of smartphone apps in skin cancer screening and early melanoma detection.
University students are at risk of weight gain during their studies. Key factors related to weight gain in this population include unhealthy weight-related behaviors because of stress. Mindfulness ...holds promise for weight management. However, there has not been any previous trial that has explored the effectiveness of a student-tailored mindfulness app for stress, weight-related behaviors, and weight. There is limited evidence that current mindfulness apps use evidence-based mindfulness techniques. A novel app was developed that combined evidence-based, mindfulness-based stress reduction and mindful eating (ME) techniques that were tailored to university students, with student-relevant themes for targeting weight behaviors, weight, and stress.
The aim of this study was to test the effectiveness, acceptability, and feasibility of a student-tailored mindfulness app for weight, weight-related behaviors, and stress. Testing this app in a rigorous randomized controlled trial (RCT) for these outcomes is a novelty and contribution to this emerging field.
A 2-arm RCT of an 11-week duration was undertaken at the University of Queensland. Students were either randomized to the mindfulness app (n=45) or to a behavioral self-monitoring electronic diary (e-diary; n=45) for diet and exercise. Analysis of covariance was used to compare differences in weight, stress, mindfulness, ME, physical activity, and eating behaviors between both groups.
Neither the mindfulness app group nor the e-diary group lost weight and there were no differences between the groups at follow-up. The mindfulness app group had significantly lower stress levels (P=.02) (adherers only), lower emotional eating (P=.02), and uncontrolled eating (P=.02) as well as higher mindfulness (P≤.001) and ME levels overall (P≤.001). The e-diary group had higher metabolic equivalents of moderate activity levels (P≤.01). However, the effect sizes were small. Regular adherence to mindfulness exercises in the app was low in the group. The majority of students (94%) liked the app and found it to be acceptable. Compared with other exercises, the most helpful reported meditation was the short breathing exercise observing the breath (39.4% 13/33 preferred it). This was the first RCT that tested a mindfulness app for weight and weight-related behaviors in students. The modest level of user adherence likely contributes to the lack of effect on weight loss. However, there was a small, albeit promising, effect on weight-related eating behavior and stress.
A mindfulness app demonstrated effectiveness for stress, eating behaviors, mindfulness, and ME, but the effect sizes were small. Future studies should be conducted over longer periods of time and with greater participant compliance.
Australian New Zealand Trial Registry ACTRN12616001349437; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=371370 (Archived by WebCite at http://www.webcitation.org/761cc2K6ft).
Mobile apps for health exist in large numbers today, but oftentimes, consumers do not continue to use them after a brief period of initial usage, are averse toward using them at all, or are unaware ...that such apps even exist. The purpose of our study was to examine and qualitatively determine the design and content elements of health apps that facilitate or impede usage from the users' perceptive.
In 2014, six focus groups and five individual interviews were conducted in the Midwest region of the U.S. with a mixture of 44 smartphone owners of various social economic status. The participants were asked about their general and health specific mobile app usage. They were then shown specific features of exemplar health apps and prompted to discuss their perceptions. The focus groups and interviews were audio recorded, transcribed verbatim, and coded using the software NVivo.
Inductive thematic analysis was adopted to analyze the data and nine themes were identified: 1) barriers to adoption of health apps, 2) barriers to continued use of health apps, 3) motivators, 4) information and personalized guidance, 5) tracking for awareness and progress, 6) credibility, 7) goal setting, 8) reminders, and 9) sharing personal information. The themes were mapped to theories for interpretation of the results.
This qualitative research with a diverse pool of participants extended previous research on challenges and opportunities of health apps. The findings provide researchers, app designers, and health care providers insights on how to develop and evaluate health apps from the users' perspective.
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