The use of online communities and websites for health information has proliferated along with the use of mobile apps for managing health behaviors such as diet and exercise. The scarce evidence available to date suggests that users of these websites and apps differ in significant ways from non-users but most data come from US- and UK-based populations. In this study, we recruited users of nutrition, weight management, and fitness-oriented websites in the Czech Republic to better understand who uses mobile apps and who does not, including user sociodemographic and psychological profiles. Respondents aged 13-39 provided information on app use through an online survey (n = 669; M age = 24.06, SD = 5.23; 84% female). Among users interested in health topics, respondents using apps for managing nutrition, weight, and fitness (n = 403, 60%) were more often female, reported more frequent smartphone use, and more expert phone skills. In logistic regression models, controlling for sociodemographics, web, and phone activity, mHealth app use was predicted by levels of excessive exercise (OR 1.346, 95% CI 1.061-1.707, p < .01). Among app users, we found differences in types of apps used by gender, age, and weight status. Controlling for sociodemographics and web and phone use, drive for thinness predicted the frequency of use of apps for healthy eating (β = 0.14, p < .05), keeping a diet (β = 0.27, p < .001), and losing weight (β = 0.33, p < .001), whereas excessive exercise predicted the use of apps for keeping a diet (β = 0.18, p < .01), losing weight (β = 0.12, p < .05), and managing sport/exercise (β = 0.28, p < .001). Sensation seeking was negatively associated with the frequency of use of apps for maintaining weight (β = - 0.13, p < .05). These data unveil the user characteristics of mHealth app users from nutrition, weight management, and fitness websites, helping inform subsequent design of mHealth apps and mobile intervention strategies.

• MeSH
• cvičení MeSH
• dospělí MeSH
• index tělesné hmotnosti MeSH
• internet * MeSH
• lidé MeSH
• logistické modely MeSH
• mladiství MeSH
• mladý dospělý MeSH
• mobilní aplikace * MeSH
• osobnost MeSH
• průřezové studie MeSH
• průzkumy a dotazníky MeSH
• telemedicína * metody   MeSH
• tělesná hmotnost MeSH
• věkové faktory MeSH
• zdravý životní styl * MeSH
• Check Tag
• dospělí MeSH
• lidé MeSH
• mladiství MeSH
• mladý dospělý MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH

BACKGROUND: Pharmacotherapy remains one of the major interventional strategies in medicine. However, patients from all age groups and conditions face challenges when taking medications, such as integrating them into the daily routine, understanding their effects and side effects, and monitoring outcomes. In this context, a reliable medication management tool adaptable to the patient's needs becomes critical. As most people have a mobile phone, mobile apps offer a platform for such a personalized support tool available on the go. OBJECTIVE: This study aimed to provide an overview of available mobile apps, focusing on those that help patients understand and take their medications. We reviewed the existing apps and provided suggestions for future development based on the concept understand and manage, instead of the conventional adhere to medication. This concept aims to engage and empower patients to be in charge of their health, as well as see medication as part of a broader clinical approach, working simultaneously with other types of interventions or lifestyle changes, to achieve optimal outcomes. METHODS: We performed a Web search in the iOS Apple App Store and Android Google Play Store, using 4 search terms: medication management, pill reminder, medication health monitor, and medication helper. We extracted information from the app store descriptions for each eligible app and categorized into the following characteristics: features, author affiliation, specialty, user interface, cost, and user rating. In addition, we conducted Google searches to obtain more information about the author affiliation. RESULTS: A total of 328 apps (175 Android and 153 iOS) were categorized. The majority of the apps were developed by the software industry (73%, 11/15), a minority of them were codeveloped by health care professionals (15%, 3/20) or academia (2.1%; 7/328). The most prevalent specialty was diabetes (23 apps). Only 7 apps focused on mental health, but their content was highly comprehensive in terms of features and had the highest prevalence of the education component. The most prevalent features were reminder, symptom tracker, and ability to share data with a family member or doctor. In addition, we highlighted the features considered innovative and listed practical suggestions for future development and innovations. CONCLUSIONS: We identified detailed characteristics of the existing apps, with the aim of informing future app development. Ultimately, the goal was to provide users with effective mobile health solutions, which can be expected to improve their engagement in the treatment process and long-term well-being. This study also highlighted the need for improved standards for reporting on app stores. Furthermore, it underlined the need for a platform to offer health app users an ongoing evaluation of apps by health professionals in addition to other users and to provide them with tools to easily select an appropriate and trustworthy app.

• MeSH
• adherence k farmakoterapii psychologie   MeSH
• lidé středního věku MeSH
• lidé MeSH
• management nemoci MeSH
• mobilní aplikace statistika a číselné údaje   trendy   MeSH
• péče o sebe MeSH
• systémy medikace normy   statistika a číselné údaje   MeSH
• Check Tag
• lidé středního věku MeSH
• lidé MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• přehledy MeSH

Background: In 2007, the European Parliament and Council amended the previous version of its directive on medical devices, allowing software to be by its own a medical device. Objectives: Aim of the present paper is to discuss the above mentioned issue when applied to mobile apps, and to tentatively apply medical devices classification rules to a sample of apps. Methods: Medical devices can be assigned to four different classes (I, IIa, IIb, III) depending on their invasivity, clinical risk, duration of the contact with the body, and active or passive devices. Guidelines have been released regarding classification of software. We identified a sample of apps in Android Store (categories: Medical and Health&Fitness) suitable for such classifi- cation, and attempted to apply the above mentioned rules. Results: Among the 80 selected apps, 32 resulted not being classifiable as medical devices (40%), 20 as class I (25%), 26 as class IIa (32.5%), and 2 as class IIb (2.5%). If we look at ratings and number of downloads as a measure of apps usefulness, it seems like class II apps are slightly more useful than class I apps. Conclusions: It seems that a fair amount of present apps could be subject to medical device classification, and these of higher category (and thus higher risk) are those possibly more interesting for users. This pushes for some attention towards them, not necessarily in terms of ruling, but at least of clear identification of functions and limitations.

• MeSH
• Evropská unie MeSH
• legislativa o zdravotnickém vybavení MeSH
• lidé MeSH
• mobilní aplikace * klasifikace   statistika a číselné údaje   využití   zákonodárství a právo   MeSH
• podpora zdraví MeSH
• směrnice jako téma MeSH
• software * klasifikace   normy   zákonodárství a právo   MeSH
• telemedicína * normy   zákonodárství a právo   MeSH
• tělesná výkonnost MeSH
• využití lékařské informatiky MeSH
• zdravotnické prostředky normy   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• hodnotící studie MeSH

BACKGROUND: Knowledge of the characteristics of adolescents who use mobile health (mHealth) apps to monitor health and how these characteristics differ from those of app nonusers is limited. OBJECTIVE: We aimed to determine mHealth app use based on adolescent and parental factors, including sociodemographics, digital skills, and health indicators, in a nationally representative sample of Czech adolescents (N=2500). METHODS: Adolescents aged 11 to 16 years and one of their parents participated in an online survey in 2021. A professional research agency recruited the participants. Quotas were used to ensure the sample's representativeness. The sociodemographic factors were the adolescents' age, gender, and parental perceived financial security. The adolescents also provided information about their screen time, eHealth literacy, BMI, health anxiety, physical activity, and sleep quality. Parents reported their digital skills, mobile phone attitudes, and the mediation of their children's online health information-seeking behaviors. We evaluated the differences between the users and nonusers of mHealth apps and identified the significant predictors of mHealth app use. Next, we separately examined how these factors were associated with the use of mHealth apps that track calorie intake or expenditure, number of steps, weight, or sports activity (eg, exercise, running, and working out), as well as other mHealth apps (eg, those that track sleep and heart rate). RESULTS: More than half of the adolescents (1429/2455, 58.21%) reported using mHealth apps. App users were relatively older and, more often, girls. Apps that counted the number of steps were used most frequently, and adolescents whose parents reported higher perceived financial security used them more regularly. Overall, being older and physically active and having higher eHealth literacy skills were associated with using mHealth apps. Adolescents with higher BMI, health anxiety, and lower sleep quality more frequently used mHealth apps to track calorie intake or expenditure, weight, and health indicators. mHealth apps to track physical activity were used more regularly by girls. There was a positive association between parental mediation of online health information-seeking behaviors and adolescents' mHealth app use. CONCLUSIONS: These findings demonstrated that older age, physical activity, and eHealth literacy skills were the common underlying factors of adolescents' mHealth app use. We initially showed parents as significant role models for their children's adoption of, and engagement with, mHealth apps when they actively mediate their online health information-seeking behaviors. Improving the eHealth literacy skills of adolescents through parental guidance might enhance health technology use in this population. Tracking eating behaviors, weight, and health were more prevalent for adolescents who reported higher BMI, health anxiety, and lower sleep quality. Future research studies should examine the determinants and health outcomes of adolescents' mHealth app use longitudinally.

• MeSH
• dítě MeSH
• lidé MeSH
• mladiství MeSH
• mobilní aplikace * MeSH
• mobilní telefon * MeSH
• průřezové studie MeSH
• rodiče MeSH
• telemedicína * MeSH
• Check Tag
• dítě MeSH
• lidé MeSH
• mladiství MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH

BACKGROUND: This paper describes the development of a mobile app for diabetes mellitus (DM) control and self-management and presents the results of long-term usage of this system in the Czech Republic. DM is a chronic disease affecting large numbers of people worldwide, and this number is continuously increasing. There is massive potential to increase adherence to self-management of DM with the use of smartphones and digital therapeutics interventions. OBJECTIVE: This study aims to describe the process of development of a mobile app, called Mobiab, for DM management and to investigate how individual features are used and how the whole system benefits its long-term users. Using at least 1 year of daily records from users, we analyzed the impact of the app on self-management of DM. METHODS: We have developed a mobile app that serves as an alternative form to the classic paper-based protocol or diary. The development was based on cooperation with both clinicians and people with DM. The app consists of independent individual modules. Therefore, the user has the possibility to use only selected features that they find useful. Mobiab was available free of charge on Google Play Store from mid-2014 until 2019. No targeted recruitment was performed to attract users. RESULTS: More than 500 users from the Czech Republic downloaded and signed up for the mobile app. Approximately 80% of the users used Mobiab for less than 1 week. The rest of the users used it for a longer time and 8 of the users produced data that were suitable for long-term analysis. Additionally, one of the 8 users provided their medical records, which were compared with the gathered data, and the improvements in their glucose levels and overall metabolic stability were consistent with the way in which the mobile app was used. CONCLUSIONS: The results of this study showed that the usability of a DM-centered self-management smartphone mobile app and server-based systems could be satisfactory and promising. Nonetheless, some better ways of motivating people with diabetes toward participation in self-management are needed. Further studies involving a larger number of participants are warranted to assess the effect on long-term diabetes management.

• Publikační typ
• časopisecké články MeSH

Východiska: Současný trend využívání digitálních technologií k podpoře pohybové aktivity (PA) je v této době nezastavitelný. Se vzrůstajícím počtem uživatelů vlastnících mobilní zařízení a enormním množstvím mobilních aplikací pro podporu PA se zvyšují možnosti jejich využití v oblasti tělovýchovného vzdělávání. Vlivem neustále vzrůstajícího počtu a zaměření těchto aplikací vzniká nepřehledná situace, která znesnadňuje jejich efektivní využí- vání v odborné praxi. Cíle: Cílem práce je poukázat na současné možnosti využití mobilních technologií v oblasti školní tělesné výchovy a přispět do zvolené problematiky aktuálními teoreticko-praktickými poznatky, které povedou k získání lepšího přehledu o současném stavu a možnostech praktického využití těchto prostředků. Metodika: V teoretické části jsme vycházeli z rešerše domácí a zahraniční literatury a z vlastních praktických zkušeností s využíváním jednotlivých typů mobilních aplikací. V rámci praktické části jsme provedli dotazníkové šetření u žáků a učitelů základních a středních škol se zaměřením na aktuální stav a způsoby využívání mobilních technologií v souvislosti s výukou tělesné výchovy (TV). Výsledky: V teoreticko-praktické rovině předkládáme návrh kategorizačního systému pro usnadnění základní orientace v problematice. Jeho součástí jsou příklady vhodných aplikací využitelných při výuce školní TV. Z výsledků dotazníkového šetření vyplývá, že učitelé i žáci mají o aplikacích podporujících PA přehled a aktivně je využívají, čemuž odpovídá vysoká četnost vlastnictví mobilních zařízení a vyu- žívání aplikací podporujících PA. Dílčí vztahy vyplývající ze stanovených hypotéz tento trend potvrzují. Závěry: Článek přináší teoreticko-praktické náměty určené zejména praktikující odborné veřejnosti a poukazuje na aktuální témata související s využíváním zmiňovaných prostředků v praxi. Vysoké procento penetrace mobilních zařízení u cílové skupiny a praktické zkušenosti s využíváním mobilních aplikací pro podporu PA indikují slibný potenciál v rámci podpory tělovýchovného vzdělávání.

Background: The current trend in using digital technology to encourage physical activity (PA) is unstoppable at this time. The growing number of mobile device users maximises the possibility of the better utilisation of these devices for the support of physical activities. Objective: The objective of this paper is to create insight into the use of mobile technologies in the physical education process and to establish the underlying considerations of their use. In the paper we generally discuss the utilization of digital technologies in physical education. The paper also includes a survey research directed at a target group. The survey research focuses on the current status of how mobile technologies have spread and how they are used in PE classes and the realisation of PA. Methods: Having studied literary resources we pursue the fundamental description of PA mobile apps, as well as the availability, functions and basic categorisation of these mobile apps. In the practical part of the paper we publish the initial results of our survey research directed at a target group – primary and secondary school teachers and students from selected regions in the Czech Republic. Results: The results of our work confirm the current tendency of using mobile technologies in connection with the realisation of physical activities. The high level of mobile devices used by the target group and the practical experience associated with the use of mobile apps to encourage PA indicate the potential for introducing mobile apps in PE lessons. Conclusions: Mobile apps are a relatively new tool for interventions associated with health and physical activity and few academic works have been published in both Czech and foreign literature in regards to the impacts of mobile apps use in this field. Where physical education classes are concerned, mobile apps represent low-cost and broadly used tools that need to be subjected to further expert investigation, mainly in relation to the enormous number of these mobile apps.

• Klíčová slova
• hypotéza,
• MeSH
• digitální technologie trendy   MeSH
• dítě MeSH
• lidé MeSH
• mladiství MeSH
• mobilní aplikace * klasifikace   trendy   MeSH
• mobilní telefon statistika a číselné údaje   trendy   MeSH
• pohybová aktivita MeSH
• průzkumy a dotazníky MeSH
• školy MeSH
• statistika jako téma MeSH
• studenti MeSH
• tělesná výchova * metody   trendy   MeSH
• učitelé MeSH
• Check Tag
• dítě MeSH
• lidé MeSH
• mladiství MeSH
• Publikační typ
• práce podpořená grantem MeSH

This paper presents a study that examined desired functionality, content, and design of a mobile application for young Czech adults living with Multiple Sclerosis (MS). The study was structured around a high-fidelity prototype developed for the corresponding user group in Norway. Both groups were active on social media and willing to contribute to designing an application promoting a healthy lifestyle and well-being. Adopting the content analysis, the study first compared the social content shared within the Facebook communities in the Norwegian and Czech user groups that were active. Regardless of the similarities, the Czech group expected that solutions regarding main functionalities and content should stand out from other competitive applications offered on the market. Most of all, they would like to see healthcare staff being engaged in content creation by providing credible information, especially regarding new treatments and clinical trials. Enhanced interaction between all the stakeholders (patients, and healthcare providers) would add value and relevance to the content already provided by social media.

• MeSH
• dospělí MeSH
• lidé MeSH
• mobilní aplikace * MeSH
• roztroušená skleróza * terapie   MeSH
• zdravý životní styl MeSH
• životní styl MeSH
• Check Tag
• dospělí MeSH
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• Geografické názvy
• Česká republika MeSH

Mobilní aplikace s názvem První psychická pomoc je nástrojem, který představuje možnosti pomoci lidem v těžkých životních situacích. První psychickou pomocí se rozumí soubor jednoduchých postupů, jejichž cílem je stabilizace psychického stavu zasaženého člověka, tedy zajištění základních lidských potřeb.

The smartphone app ‚First Mental Aid‘ is designed to present to the user ways that they could help people who are in an acute crisis. What we understand first mental aid to mean is a set of simple procedures whose goal is the stabilization of the person's mental state, i.e. securing basic human needs.

• MeSH
• lidé MeSH
• mobilní aplikace MeSH
• první pomoc * metody   psychologie   MeSH
• psychický stres MeSH
• Check Tag
• lidé MeSH

Reallocations of time between daily activities such as sleep, sedentary behavior and physical activity are differentially associated with markers of physical, mental and social health. An individual's most desirable allocation of time may differ depending on which outcomes they value most, with these outcomes potentially competing with each other for reallocations. We aimed to develop an interactive app that translates how self-selected time reallocations are associated with multiple health measures. We used data from the Australian Child Health CheckPoint study (n = 1685, 48% female, 11-12 y), with time spent in daily activities derived from a validated 24-h recall instrument, %body fat from bioelectric impedance, psychosocial health from the Pediatric Quality of Life Inventory and academic performance (writing) from national standardized tests. We created a user-interface to the compositional isotemporal substitution model with interactive sliders that can be manipulated to self-select time reallocations between activities. The time-use composition was significantly associated with body fat percentage (F = 2.66, P < .001), psychosocial health (F = 4.02, P < .001), and academic performance (F = 2.76, P < .001). Dragging the sliders on the app shows how self-selected time reallocations are associated with the health measures. For example, reallocating 60 minutes from screen time to physical activity was associated with -0.8 [95% CI -1.0 to -0.5] %body fat, +1.9 [1.4 to 2.5] psychosocial score and +4.5 [1.8 to 7.2] academic performance. Our app allows the health associations of time reallocations to be compared against each other. Interactive interfaces provide flexibility in selecting which time reallocations to investigate, and may transform how research findings are disseminated.

• MeSH
• cvičení MeSH
• dítě MeSH
• kvalita života * MeSH
• lidé MeSH
• mobilní aplikace * MeSH
• sedavý životní styl MeSH
• Check Tag
• dítě MeSH
• lidé MeSH
• mužské pohlaví MeSH
• ženské pohlaví MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Geografické názvy
• Austrálie MeSH

BACKGROUND: Wearable devices with an ability to collect various type of physiological data are increasingly becoming seamlessly integrated into everyday life of people. In the area of electronic health (eHealth), many of these devices provide remote transfer of health data, as a result of the increasing need for ambulatory monitoring of patients. This has a potential to reduce the cost of care due to prevention and early detection. OBJECTIVE: The objective of this study was to provide an overview of available wearable sensor systems with data exchange possibilities. Due to the heterogeneous capabilities these systems possess today, we aimed to systematize this in terms of usage, where there is a need of, or users benefit from, transferring self-collected data to health care actors. METHODS: We searched for and reviewed relevant sensor systems (i.e., devices) and mapped these into 13 selected attributes related to data-exchange capabilities. We collected data from the Vandrico database of wearable devices, and complemented the information with an additional internet search. We classified the following attributes of devices: type, communication interfaces, data protocols, smartphone/PC integration, connection to smartphone health platforms, 3rd party integration with health platforms, connection to health care system/middleware, type of gathered health data, integrated sensors, medical device certification, access to user data, developer-access to device, and market status. Devices from the same manufacturer with similar functionalities/characteristics were identified under the same device family. Furthermore, we classified the systems in three subgroups of relevance for different actors in mobile health monitoring systems: EHR providers, software developers, and patient users. RESULTS: We identified 362 different mobile health monitoring devices belonging to 193 device families. Based on an analysis of these systems, we identified the following general challenges: CONCLUSIONS: Few of the identified mobile health monitoring systems use standardized, open communication protocols, which would allow the user to directly acquire sensor data. Use of open protocols can provide mobile health (mHealth) application developers an alternative to proprietary cloud services and communication tools, which are often closely integrated with the devices. Emerging new types of sensors, often intended for everyday use, have a potential to supplement health records systems with data that can enrich patient care.

• MeSH
• lidé MeSH
• mobilní aplikace MeSH
• nositelná elektronika * MeSH
• poskytování zdravotní péče MeSH
• srdeční arytmie MeSH
• telemedicína MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• přehledy MeSH