UNASSIGNED: Maternal education is often linked to improved awareness. This study aimed to determine the impact of complementary feeding education for mothers using mobile phone applications on the anthropometric indices of Iranian infants.
UNASSIGNED: This quasi-experiment study involved 86 eligible women divided into two groups-intervention (n = 43) and control (n = 43)-using a multistage sampling method. A researcher-designed questionnaire collected demographic data from parents and infants. Education was delivered through a mobile phone application. Infant anthropometric indices (weight-for-age, length-for-age, and weight-for-length) were measured before and 3 months after the intervention. Statistical analysis included independent t-tests, paired t-tests, chi-square tests (or Cochran-Armitage tests), and analysis of covariance.
UNASSIGNED: The mean weight-for-age Z-scores of the infants in the intervention group were significantly different before (0.07 ± 0.52) and after the intervention (0.37 ± 0.53) (p < .001), while this difference was not significant in the control group. The mean infant weight-for-length Z score in the intervention group was significantly different before (0.09 ± 0.72) and after the intervention (0.29 ± 0.63) (p = .015); however, in the control group, the difference was not statistically significant. The mean length-for-age Z score in the intervention group was significantly different before (0.12 ± 0.68) and after the intervention (0.40 ± 0.76) (p = .006). In contrast, in the control group, the mean length-for-age Z score after the intervention (-0.03 ± 0.84) decreased compared to that before the intervention (0.38 ± 0.75) (p < .001).
UNASSIGNED: The study demonstrated that educating mothers on complementary feeding through mobile phone applications positively impacted infant anthropometric indices. Healthcare providers are encouraged to use this educational approach to prevent infant growth disorders.

BACKGROUND: Most adults fail to meet the moderate to vigorous physical activity-based recommendations needed to maintain or improve health. Vigorous Intermittent Lifestyle Physical Activity (VILPA) refers to short (1-2 min) high-intensity activities that are integrated into activities of daily living. VILPA has shown strong potential to improve health and addresses commonly reported barriers to physical activity. However, it is unknown how VILPA can best be promoted among the adult population. This study aimed to evaluate the usability, user engagement, and satisfaction of a mobile application (MovSnax) designed to promote VILPA.
METHODS: A concurrent mixed methods design was used. It comprised four parts. Part A was a survey with n = 8 mHealth and physical activity experts who had used the app over 7-10 days. Part B was think-aloud interviews with n = 5 end-users aged 40-65 years old. Part C was a survey with a new group of 40-65-year-old end-users (n = 35) who had used the MovSnax app over 7-10 days. Part D was semi-structured interviews with n = 18 participants who took part in Part C. Directed content analysis was used to analyze the results from Parts A, B, and D, and descriptive statistics were used to analyze findings from Part C.
RESULTS: Participants reported positive views on the MovSnax app for promoting VILPA but also identified usability issues such as unclear purpose, difficulties in manual data entry, and limited customization options. Across the different data collections, they consistently emphasized the need for more motivational features, clearer feedback, and gamification elements to enhance engagement. Quantitative assessment showed satisfactory scores on objective measures but lower ratings on subjective aspects, possibly due to unfamiliarity with the VILPA concept and/or technical barriers.
CONCLUSIONS: The MovSnax app, tested in the present study, is the world\'s first digital tool aimed specifically at increasing VILPA. The findings of the present study underscore the need for further app refinement, focusing on clarifying its purpose and instructions, boosting user engagement through personalization and added motivational elements, enhancing accuracy in detecting VILPA bouts, implementing clearer feedback mechanisms, expanding customization choices (such as font size and comparative data), and ensuring transparent and meaningful activity tracking.

OBJECTIVE: Prior research has implied that promoting sustaining physical activity through nudges is challenging and boosting health literacy is important for the long-term establishment of behaviors. This study aimed to investigate the effects of commitment-based health application on step count and health literacy.
METHODS: A control experiment was conducted involving employees from companies located in Shizuoka Prefecture, Japan. Participants were divided into three groups: the commitment app group (utilizing a commitment-based application \"Minchalle,\" where teams of around five members were randomly assigned to declare a target step count and report daily step count with pictures), the self-commitment group (individuals declaring a target step count and endeavoring on their own), and the control group (no intervention). Changes in step count and health literacy were examined over one month.
RESULTS: A total of 109 employees from 7 companies participated. The changes in step count were an increase of 893 steps for the commitment app group, 243 steps for the self-commitment group, and 178 steps for the control group, with a significant increase in the commitment app group compared to the control group. Regarding health literacy measures, there was significant progress in four items out of five for the commitment app group compared to the control group, and significant progress in one item for the self-commitment group compared to the control group.
CONCLUSIONS: Communication within the app teams, such as commitment, sharing photos of their goal achievements and provide encouraging comments to others, functioned as social nudges, suggesting the potential for an immediate increase in step count and long-term behavioral reinforcement through improved health literacy.

UNASSIGNED: Gestational diabetes mellitus (GDM) can increase the risk of adverse outcomes for both mothers and infants. Preventive interventions can effectively assist pregnant women suffering from GDM. At present, pregnant women are unaware of the importance of preventing GDM, and they possess a low level of self-management ability. Recently, mHealth technology has been used worldwide. Therefore, developing a mobile health app for GDM prevention could potentially help pregnant women reduce the risk of GDM.
UNASSIGNED: To design and develop a mobile application, evaluate its acceptance, and understand the users\'using experience and suggestions, thus providing a valid tool to assist pregnant women at risk of GDM in enhancing their self-management ability and preventing GDM.
UNASSIGNED: An evidence-based GDM prevent app (Better pregnancy) was developed using user-centered design methods, following the health belief model, and incorporating GDM risk prediction. A convenient sampling method was employed from June to August 2022 to select 102 pregnant women at risk of GDM for the pilot study. After a week, the app\'s acceptability was evaluated using an application acceptance questionnaire, and we updated the app based on the feedback from the women. We used SPSS 26.0 for data analysis.
UNASSIGNED: The application offers various functionalities, including GDM risk prediction, health management plan, behavior management, health information, personalized guidance and consultation, peer support, family support, and other functions. In total, 102 pregnant women consented to participate in the study, achieving a retention rate of 98%; however, 2% (n = 2) withdrew. The Better pregnancy app\'s average acceptability score is 4.07 out of 5. Additionally, participants offered several suggestions aimed at enhancing the application.
UNASSIGNED: The Better pregnancy app developed in this study can serve as an auxiliary management tool for the prevention of GDM, providing a foundation for subsequent randomized controlled trials.

For artificial intelligence (AI) to support nutrition care, high quality and accuracy of its features within smartphone applications (apps) are essential. This study evaluated popular apps\' features, quality, behaviour change potential, and comparative validity of dietary assessment via manual logging and AI. The top 200 free and paid nutrition-related apps from Australia\'s Apple App and Google Play stores were screened (n = 800). Apps were assessed using MARS (quality) and ABACUS (behaviour change potential). Nutritional outputs from manual food logging and AI-enabled food-image recognition apps were compared with food records for Western, Asian, and Recommended diets. Among 18 apps, Noom scored highest on MARS (mean = 4.44) and ABACUS (21/21). From 16 manual food-logging apps, energy was overestimated for Western (mean: 1040 kJ) but underestimated for Asian (mean: -1520 kJ) diets. MyFitnessPal and Fastic had the highest accuracy (97% and 92%, respectively) out of seven AI-enabled food image recognition apps. Apps with more AI integration demonstrated better functionality, but automatic energy estimations from AI-enabled food image recognition were inaccurate. To enhance the integration of apps into nutrition care, collaborating with dietitians is essential for improving their credibility and comparative validity by expanding food databases. Moreover, training AI models are needed to improve AI-enabled food recognition, especially for mixed dishes and culturally diverse foods.

The paper evaluates the DARS Traffic Plus mobile application within a realistic driving simulator environment to assess its impact on driving safety and user experience, particularly focusing on the Cooperative Intelligent Transport Systems (C-ITS). The study is positioned within the broader context of integrating mobile technology in vehicular environments to enhance road safety by informing drivers about potential hazards in real time. A combination of experimental methods was employed, including a standardised user experience questionnaire (meCUE 2.0), measuring quantitative driving parameters and eye-tracking data within a driving simulator, and post-experiment interviews. The results indicate that the mobile application significantly improved drivers\' safety perception, particularly when notifications about hazardous locations were received. Notifications displayed at the top of the mobile screen with auditory cues were deemed most effective. The study concludes that mobile applications like DARS Traffic Plus can play a crucial role in enhancing road safety by effectively communicating hazards to drivers, thereby potentially reducing road accidents and improving overall traffic safety. Screen viewing was kept below the safety threshold, affirming the app\'s efficacy in delivering crucial information without distraction. These findings support the integration of C-ITS functionalities into mobile applications as a means to augment older vehicle technologies and extend the safety benefits to a broader user base.

Digital therapeutics refers to smartphone applications, software, and wearable devices that provide digital solutions to improve healthcare delivery. We developed a digital platform to support the GYM (Grow Your Muscle) study, an ongoing 48-week randomized, controlled trial on reduction of sarcopenia through a home-based, app-monitored physical exercise intervention. The GYM platform consists of a smartphone application including the exercise program and video tutorials of body-weight exercises, a wearable device to monitor heart rate during training, and a website for downloading training data to remotely monitor the exercise. The aim of this paper is to describe the platform in detail and to discuss the technical issues emerging during the study and those related to usability of the smartphone application through a retrospective survey. The main technical issue concerned the API level 33 upgrade, which did not enable participants using the Android operating systems to use the wearable device. The survey revealed some problems with viewing the video tutorials and with internet or smartphone connection. On the other hand, the smartphone application was reported to be easy to use and helpful to guide home exercising. Despite the issues encountered during the study, this digital-supported physical exercise intervention could provide useful to improve muscle measures of sarcopenia.

BACKGROUND: Considering the values and preferences of individuals who attempt to quit smoking is a crucial step in the development of smoking cessation technologies. This study aimed to explore preferences regarding smart smoking cessation technologies.
METHODS: This parallel convergent mixed-methods study was conducted in two phases: quantitative and qualitative. In the quantitative phase, a cross-sectional study was conducted with 360 participants selected through stratified random sampling from technology-based smoking cessation clinics in Tabriz, Tehran, and Karaj cities in Iran. Data on demographic characteristics and preferences for smart smoking cessation technologies were collected using questionnaires and analyzed using descriptive statistics. In the qualitative phase, 25 users of these technologies were selected through purposeful and snowball sampling. The data were gathered through in-depth semistructured interviews and analyzed using qualitative content analysis with a conventional approach. Quantitative and qualitative data were integrated using the merging strategy and convergence model.
RESULTS: The quantitative phase results indicated that the highest preference was related to wearing and using a smartwatch for smoking cessation and using mobile apps. In the qualitative phase, 17 subcategories were extracted and classified into 8 main categories: high effectiveness, better management of the smoking cessation process, personalized technology, safe and uncomplicated technologies, attractiveness and innovative design, scientific basis, mobile applications, and smart monitoring devices.
CONCLUSIONS: By combining and integrating quantitative and qualitative results, it can be concluded that users are more interested in wearable technologies and interactive mobile applications. The findings of this study can assist smoking cessation technology developers in designing and improving their tools based on user needs and preferences to enhance their effectiveness and acceptability.

OBJECTIVE: The aim of the study was to determine the effect of WhatsApp-based BETTER sex counselling on sexual function and sexual quality of life in breast cancer survivors in a randomized control trial.
METHODS: This is a randomized controlled trial in which a total of 90 breast cancer survivors were recruited using convenience sampling and then randomly assigned to two groups of WhatsApp-based BETTER model counselling and routine care. Data collection tools consisted of a demographic questionnaire, the Sexual Quality of Life-Female (SQOL-F) and the Sexual Function Index (FSFI-BC). Participants in the intervention group were given access to the 6-week program. The program consisted of six consultation and assignment packages covering all six steps of the BETTER model. Data were analyzed using SPSS software version 20. Chi-square test, independent samples t-test and repeated measures analysis of variance were used. The significance level (p-value) was considered to be less than 0.05.
RESULTS: In the control group, the mean score of SQL scale changed from 35.16 ± 10.71 to 35.16 ± 12.97 (P > 0.05) and in the intervention group, it significantly increased from 34.76 ± 10.13 to 68.20 ± 20.48 (P < 0.001). Similarly, the comparison of mean of FSF in the control group showed a none-significant change from 58.13 ± 7.11 to 58.35 ± 6.11 (P > 0.05), and in the intervention group, it significantly improved from 59.49 ± 6.10 to 120.73 ± 25.54 (P < 0.001). The results of rANOVA indicated that there was a significant difference in the mean scores of the SQL and SFS between the two groups from pre- to post-intervention, and then over the 1-month follow-up period in the intervention group (p < 0.001). Considering partial eta squared, the effect of the intervention had the highest interaction effect on both variables of the sexual function index (η2 = 0.73) and sexual quality of life (η2 = 0.41).
CONCLUSIONS: The intervention program was a successful model for improving female sexual quality of life and female sexual function in breast cancer survivors.
BACKGROUND: IRCT20210926052601N1, 7-11-2021.

BACKGROUND: Global aging presents socioeconomic and health challenges. Dementia, a growing concern, affects millions of older adults, intensifying the burden on family caregivers. E-health interventions offer hope through technological solutions, although current research is limited. This study evaluated the effectiveness of internet-based or mobile app interventions for family caregivers of older adults with dementia.
METHODS: A systematic review with a narrative synthesis was conducted using databases (PubMed, CINAHL, Scopus, LILACS, and PsycInfo) and the bibliographies of retrieved articles, with no restrictions on time or language.
RESULTS: The search yielded 2092 results, of which 22 studies met the inclusion criteria, encompassing a total of 2761 family caregivers. Twenty-one different outcomes were evaluated and classified into three main types of interventions: psychoeducational, psychotherapeutic, and multicomponent.
CONCLUSIONS: The study highlights the importance of internet-based and mobile app interventions in supporting family caregivers of older adults with dementia. These interventions positively affect many aspects of caregiver well-being, suggesting their utility in addressing this group\'s emotional, social, and self-care needs.