The impact of a Web-based app (eBalance) in promoting healthy lifestyles: randomized controlled trial

Effect of using the snackability app on snack quality among US college students with overweight and obesity: A randomized controlled trial

OBJECTIVE

To determine if using the Snackability app improves snack intake among college students.

PARTICIPANTS

US college students with overweight/obesity were recruited in June 2020-April 2021.

METHODS

A randomized controlled trial was conducted to test the Snackability app use for 12 wk on snack scores (calculated from the app) compared to controls. We also explored the effect on diet quality (Healthy Eating Index-2015) and weight. Outcomes were compared between the intervention and the control groups at 4, 8, and 12 wk using repeated measures ANOVA.

RESULTS

Participants in the app group significantly increased snack score at week 4 (p < 0.001) and week 8 (p = 0.015) and increased HEI-2020 score (p < 0.001) at week 4 compared to controls. The first 4 wk had the highest app usage. No significant differences were seen in body weight.

CONCLUSIONS

The Snackability app can be used as a tool to help improve snack and diet quality in this group.

Behavioral Lifestyle Intervention Program Using Mobile Application Improves Diet Quality in Adults With Prediabetes (D'LITE Study): A Randomized Controlled Trial

BACKGROUND

Mobile health applications (mHealth apps) are increasingly being used in weight loss interventions. However, evidence on the effects of such interventions on diet quality and their correlation with weight loss is lacking.

OBJECTIVE

The objective of this study was to examine whether changes in the diet quality of adults with prediabetes followed the use of an mHealth-enabled lifestyle intervention, compared with those who did not, and whether these changes correlated with weight loss.

DESIGN

A secondary analysis of a 6-month randomized controlled trial Diabetes Lifestyle Intervention using Technology Empowerment (D'LITE) was conducted, with participants recruited from October 2017 to September 2019.

PARTICIPANTS/SETTING

Community-dwelling adults (n = 148) in Singapore diagnosed with prediabetes and body mass index (BMI) ≥23 were included in this study.

INTERVENTION

Participants were randomized to receive either a 6-month mHealth-enabled lifestyle intervention program (diet and physical activity) or standard care dietary advice.

MAIN OUTCOME MEASURES

Dietary data were collected in the form of 2-day food records at baseline, 3, and 6 months. Changes in Alternate Healthy Eating Index-2010 (AHEI-2010) scores and food groups (servings/day), calculated from the dietary data, and correlation between changes in AHEI-2010 and weight loss at 3 and 6 months, were examined.

STATISTICAL ANALYSES

Between-group comparisons of continuous variables and within-participants variation were performed using longitudinal mixed-effect models, intention-to-treat principles. The models included treatment groups, time (baseline, 3 months, and 6 months), and covariates (age, sex, and BMI), as well as the group × time interactions, as fixed variables and within-participant variation in outcome values as random variable. The random intercept for participants accounted for the dependence of repeated measures. A likelihood ratio test was also conducted to test random effect variance. Spearman correlation test was used to examine correlation between changes in AHEI-2010 scores and weight loss.

RESULTS

There was a significant improvement in overall diet quality as ascertained by the AHEI-2010, by 6.2 points (95% confidence interval [CI], 3.8-8.7; P < 0.001) in the intervention group as compared with the control. The participants in the intervention group had a significantly greater reduction in intake of sugar-sweetened beverages (SSB) by 0.5 servings/day (95% CI, -0.8, -0.2; P < 0.001) and sodium by 726 mg/day (95% CI, -983, -468; P < .001), compared with those receiving standard care. At 3 and 6 months, a significant decrease in SSB (0.8 servings/day; 0.7 servings/day, respectively) and sodium (297 mg/day; 296 mg/day, respectively) intakes were reported compared with baseline intakes. Small positive correlations (r = 0.2; P < 0.05) were observed between changes in AHEI-2010 scores from baseline and percentage weight loss at 3 and 6 months.

CONCLUSION

For adults with prediabetes in Singapore, diet quality can be improved with an mHealth-enabled lifestyle intervention program. A small positive correlation exists between AHEI-2010 scores and weight loss.

Enhancing Behavioural Changes: A Narrative Review on the Effectiveness of a Multifactorial APP-Based Intervention Integrating Physical Activity

The rapid evolution of technologies is a key innovation in the organisation and management of physical activities (PA) and sports. The increase in benefits and opportunities related to the adoption of technologies for both the promotion of a healthy lifestyle and the management of chronic diseases is evident. In the field of telehealth, these devices provide personalised recommendations, workout monitoring and injury prevention. The study aimed to provide an overview of the landscape of technology application to PA organised to promote active lifestyles and improve chronic disease management. This review identified specific areas of focus for the selection of articles: the utilisation of mobile APPs and technological devices for enhancing weight loss, improving cardiovascular health, managing diabetes and cancer and preventing osteoporosis and cognitive decline. A multifactorial intervention delivered via mobile APPs, which integrates PA while managing diet or promoting social interaction, is unquestionably more effective than a singular intervention. The main finding related to promoting PA and a healthy lifestyle through app usage is associated with "behaviour change techniques". Even when individuals stop using the APP, they often maintain the structured or suggested lifestyle habits initially provided by the APP. Various concerns regarding the excessive use of APPs need to be addressed.

Methodologies for Evaluating the Usability of Rehabilitation Technologies Aimed at Supporting Shared Decision-Making: Scoping Review

BACKGROUND

The field of rehabilitation has seen a recent rise in technologies to support shared decision-making (SDM). Usability testing during the design process of SDM technologies is needed to optimize adoption and realize potential benefits. There is variability in how usability is defined and measured. Given the complexity of usability, a thorough examination of the methodologies used to measure usability to develop the SDM technologies used in rehabilitation care is needed.

OBJECTIVE

This scoping review aims to answer the following research questions: which methods and measures have been used to produce knowledge about the usability of rehabilitation technologies aimed at supporting SDM at the different phases of development and implementation? Which parameters of usability have been measured and reported?

METHODS

This review followed the Arksey and O'Malley framework. An electronic search was performed in the Ovid MEDLINE, Embase, CINAHL, and PsycINFO databases from January 2005 up to November 2020. In total, 2 independent reviewers screened all retrieved titles, abstracts, and full texts according to the inclusion criteria and extracted the data. The International Organization for Standardization framework was used to define the scope of usability (effectiveness, efficiency, and satisfaction). The characteristics of the studies were outlined in a descriptive summary. Findings were categorized based on usability parameters, technology interventions, and measures of usability.

RESULTS

A total of 38 articles were included. The most common SDM technologies were web-based aids (15/33, 46%). The usability of SDM technologies was assessed during development, preimplementation, or implementation, using 14 different methods. The most frequent methods were questionnaires (24/38, 63%) and semistructured interviews (16/38, 42%). Satisfaction (27/38, 71%) was the most common usability parameter mapped to types of SDM technologies and usability evaluation methods. User-centered design (9/15, 60%) was the most frequently used technology design framework.

CONCLUSIONS

The results from this scoping review highlight the importance and the complexity of usability evaluation. Although various methods and measures were shown to be used to evaluate the usability of technologies to support SDM in rehabilitation, very few evaluations used in the included studies were found to adequately span the selected usability domains. This review identified gaps in usability evaluation, as most studies (24/38, 63%) relied solely on questionnaires rather than multiple methods, and most questionnaires simply focused on the usability parameter of satisfaction. The consideration of end users (such as patients and clinicians) is of particular importance for the development of technologies to support SDM, as the process of SDM itself aims to improve patient-centered care and integrate both patient and clinician voices into their rehabilitation care.

Digital Health Solutions for Weight Loss and Obesity: A Narrative Review

Personal exercise programmes have long been used and prescribed for weight loss and the improvement of quality of life in obese patients. While individualised programmes are usually the preferred option, they can be more costly and challenging to deliver in person. A move to digital programmes with a wider reach has commenced, and demand has increased due to the SARS-CoV-2 pandemic. In this review, we evaluate the current status of digital exercise programme delivery and its evolution over the past decade, with a focus on personalisation. We used specific keywords to search for articles that met our predetermined inclusion and exclusion criteria in order to provide valuable evidence and insights for future research. We identified 55 studies in total in four key areas of focus, from the more recent development of apps and personal digital assistants to web-based programmes and text or phone call interventions. In summary, we observed that apps may be useful for a low-intensity approach and can improve adherence to programmes through self-monitoring, but they are not always developed in an evidence-based manner. Engagement and adherence are important determinants of weight loss and subsequent weight maintenance. Generally, professional support is required to achieve weight loss goals.

Use of Information and Communication Technologies among Adults in Weight Control: Systematic Review and Meta-Analysis

Information and communication technologies are part of our day-to-day life in the execution of all activities, including health care. However, it is not known how much the use of technologies can contribute to the adoption of healthy lifestyle habits. Thus, the objective of this study was to analyze whether the use of information and communication technologies contributes to weight control among adults when compared to the traditional approach method. The search was performed in November 2021 in eight electronic databases in addition to gray literature bases. The quality of the studies was assessed using the Cochrane risk of bias tool. The standardized mean difference was used for the meta-analytic measurement using the random effects model using the Dersimonian-Laid method in the Stata statistical package version 17. The body mass index of the intervention group decreased by an average of 0.56 (95% CI: -0.83; -0.30) when compared to the control group. When comparing the before and after groups, the intervention group also had a greater reduction in BMI (summarized mean: -0.83; 95% CI: -1.40; -0.26). Information and communication technologies contribute to the reduction of the body mass index in the adult population when compared to the traditional model of monitoring. Prospero registration: number 42020186340.

mHealth Apps Using Behavior Change Techniques to Self-report Data: Systematic Review

Background

The popularization of mobile health (mHealth) apps for public health or medical care purposes has transformed human life substantially, improving lifestyle behaviors and chronic condition management.

Objective

This review aimed to identify behavior change techniques (BCTs) commonly used in mHealth, assess their effectiveness based on the evidence reported in interventions and reviews to highlight the most appropriate techniques to design an optimal strategy to improve adherence to data reporting, and provide recommendations for future interventions and research.

Methods

We performed a systematic review of studies published between 2010 and 2021 in relevant scientific databases to identify and analyze mHealth interventions using BCTs that evaluated their effectiveness in terms of user adherence. Search terms included a mix of general (eg, data, information, and adherence), computer science (eg, mHealth and BCTs), and medicine (eg, personalized medicine) terms.

Results

This systematic review included 24 studies and revealed that the most frequently used BCTs in the studies were feedback and monitoring (n=20), goals and planning (n=14), associations (n=14), shaping knowledge (n=12), and personalization (n=7). However, we found mixed effectiveness of the techniques in mHealth outcomes, having more effective than ineffective outcomes in the evaluation of apps implementing techniques from the feedback and monitoring, goals and planning, associations, and personalization categories, but we could not infer causality with the results and suggest that there is still a need to improve the use of these and many common BCTs for better outcomes.

Conclusions

Personalization, associations, and goals and planning techniques were the most used BCTs in effective trials regarding adherence to mHealth apps. However, they are not necessarily the most effective since there are studies that use these techniques and do not report significant results in the proposed objectives; there is a notable overlap of BCTs within implemented app components, suggesting a need to better understand best practices for applying (a combination of) such techniques and to obtain details on the specific BCTs used in mHealth interventions. Future research should focus on studies with longer follow-up periods to determine the effectiveness of mHealth interventions on behavior change to overcome the limited evidence in the current literature, which has mostly small-sized and single-arm experiments with a short follow-up period.

An-m-Health Intervention Using Smartphone App to Improve Physical Activity in College Students: A Randomized Controlled Trial

Using m-Health apps can provide researchers and others with an effective way for improving physical activity (PA) and healthy lifestyle behaviors. The promotion of health should move from a model focused on the physical and biological basis of illness and towards a focus on the behavioral changes that support health. Therefore, the aims of the current study were to improve PA (step-counts) and body weight using a theory-based m-Health app. A 12-week randomized treatment trial was carried out at Texas A&M University, Texas, college station. College students (n = 130) were recruited. They were randomized in an equal ratio of 1:1 to intervention (m-Health app) (n = 65) and control (n = 65) conditions. The response rate was (87.6%). Both groups utilized a Smartphone app. The intervention group received PA goals of (10,000 steps/day), using an m-Health app. The control group was provided with information related to daily recommended PA levels. The primary change was daily step count between the baseline and follow-up. The secondary outcome was the body mass index (BMI). Descriptive statistics were used to summarize the baseline differences between the control and intervention groups. Independent sample t-test were used for comparison between the intervention and control groups. Post-intervention PAs were higher for the intervention group (mean = 54,896.) vs. control group (mean = 45,530.12; p < 0.05). The intervention group’s step-counts increased significantly (pre-mean = 40,320.38 steps per week; post-mean = 54,896.27 steps per week, p < 0.05). The body-weight changes were significant among the intervention group (p < 0.05). m-Health apps can increase PA and improve body weight, with goal setting and feedback as key intervention components. Future studies should personalize PA goals and feedback.

Usage of Mobile Applications or Mobile Health Technology to Improve Diet Quality in Adults

The use of mobile applications for dietary purposes has dramatically increased along with the consistent development of mobile technology. Assessing diet quality as a dietary pattern or an indicator across key food groups in comparison to those recommended by dietary guidelines is useful for identifying optimal nutrient intake. This systematic review aims to explore mobile applications and their impact on the diet quality of the user. The electronic databases of The Cumulative Index to Nursing and Allied Health Literature (Cinahl), The American Psychological Association’s (APA Psycinfo), and PubMed were systematically searched for randomised and non-randomised controlled trials to retrieve papers from inception to November 2021. Ten studies with 1638 participants were included. A total of 5342 studies were retrieved from the database searches, with 10 articles eligible for final inclusion in the review. The sample sizes ranged from 27 to 732 participants across the included studies, with 1638 total participants. The ratio of female to male participants in the studies was 4:1. The majority of the mobile applications or M-health interventions were used to highlight dietary health changes (six studies), with the remainder used to reduce weight or blood sugar levels (four studies). Each study used a different measure to quantify diet quality. Studies were either assessed by diet quality scoring or individual dietary assessment, of the ten studies, six studies reported an improvement in diet quality following diet-related mobile application use. Mobile applications may be an effective way to improve diet quality in adults; however, there is a need for more targeted and longer-term studies that are expressly designed to investigate the impact using mobile applications has on diet quality.

Transcultural Lifestyle Medicine in Type 2 Diabetes Care: Narrative Review of the Literature

Disparities in type 2 diabetes (T2D) care is a global problem across diverse cultures. The Dysglycemia-Based Chronic Disease (DBCD) model promotes early and sustainable interventions along the insulin resistance (stage 1), prediabetes (stage 2), T2D (stage 3), and complications (stage 4) spectrum. In this model, lifestyle medicine is the cornerstone of preventive care to reduce DBCD progression and the socioeconomic/biological burden of disease. A comprehensive literature review, spanning 2000 to 2021, was performed and 55 studies were included examining the effects of lifestyle medicine and their cultural adaptions with different prevention modalities. In stage 1, primordial prevention targets modifiable primary drivers (behavior and environment), unhealthy lifestyles, abnormal adiposity, and insulin resistance with educational and motivational health promotion activities at individual, group, community, and population-based scales. Primary, secondary, and tertiary prevention targets individuals with mild hyperglycemia, severe hyperglycemia, and complications, respectively, using programs that incorporate structured lifestyle interventions. Culturally adapted lifestyle change in primary and secondary prevention improved quality of life and biomarkers, but with a limited impact of tertiary prevention on cardiovascular events. In conclusion, lifestyle medicine with cultural adaptations is an integral part of preventive care in patients with T2D. However, considerable research gaps exist, especially for tertiary prevention.

Video-based smartphone app ('VIDEA bewegt') for physical activity support in German adults: a single-armed observational study

OBJECTIVES

The primary objective of this study was to investigate the effect of the video-based smartphone app 'VIDEA bewegt' over eight programme weeks on physical activity in German adults.

DESIGN

The study used a single-arm observational design, assessing the app's effectiveness under real-life conditions. Data were collected from July 2019 to July 2020.

SETTING

The app is enabling users to access video-based educational content via their smartphone. A clinical visit or in-person contact was not required.

PARTICIPANTS

All individuals registered in the freely available app were invited to take part in the study.

INTERVENTIONS

The app aims to increase physical activity in everyday life. It combines educative videos on lifestyle-related benefits and instructional videos of strength and endurance exercises to do at home with motivational components like goal setting, documentation of progress and personalised messages.

PRIMARY AND SECONDARY OUTCOME MEASURES

Primary outcomes were physical activity based one MET minutes per week (metabolic equivalent) and step numbers.Secondary outcomes included physical self-efficacy (motivational, maintenance, recovery self-efficacy), health-related quality of life: Mental Health Component Summary score and Physical Health Component Summary score.

RESULTS

Of 97 people included in the data analysis, 55 successfully completed the programme and all questionnaires. Significant increases over eight programme weeks (between T0 and T2) were observed in physical activity based on MET minutes per week, health-related quality of life, and recovery self-efficacy. Time spent sitting and body mass index significantly decreased for those completing the programme.

CONCLUSIONS

Although significant benefits of physical activity were observed following a complete-case analysis, results should be dealt with caution. Studies with a larger and less heterogeneous sample and robust study designs able to measure causal effects would be desirable.

TRIAL REGISTRATION NUMBER

DRKS00017392.

User Engagement and Abandonment of mHealth: A Cross-Sectional Survey

Mobile health (mHealth) apps have great potential to improve health outcomes. Given that mHealth apps have become ubiquitous, there is limited focus on their abandonment. Data concerning crucial metrics, including reasons for adoption and discontinued use, are limited. This study aims to gain broad insights into utilization of mHealth and game-like features promoting user engagement. We conducted a cross-sectional survey of 209 mHealth users worldwide. The 17-item survey assessed sociodemographics, as well as the key motivators for mHealth uptake and discontinued use. Our findings show that sports and fitness activity tracking were the most common categories of health apps, with most users engaging with them at least several times a week. Interestingly, the most downloaded mHealth apps among younger adults include MyFitnessPal, Fitbit, Nike Run Club, and Samsung Health. Critical drivers of abandonment of mHealth apps were amotivation, loss of interest, and experimenting with different apps to identify the most suitable tool. Additionally, the financial cost of mHealth apps is crucial, with most participants advocating for free or more affordable apps. The study findings suggest that while many individuals utilize mHealth, several factors drive their abandonment. Moreover, data indicate that mHealth developers need to consider gamification strategies to sustain user commitment, as well as psychological variables, such as intrinsic motivation.

Factors affecting the health-promoting behavior of thyroid cancer survivors: comparison by stage of cancer survivorship

Purpose

The purpose of this study was to identify differences in factors affecting health-promoting behaviors according to the survival stage of thyroid cancer survivors.

Methods

This descriptive cross-sectional study analyzed data from 354 thyroid cancer survivors after diagnosis. The survivors were divided into three stages: (1) the acute stage (< 2 years after diagnosis), (2) extended stage (2–5 years after diagnosis), and (3) permanent stage (≥ 5 years after diagnosis). To measure health-promoting behavior, the revised Korean version of the Health Promoting Lifestyle Profile questionnaires was used. The factors affecting the health-promoting behavior included social support, self-efficacy, fear of recurrence, and symptoms. Multiple regression analysis was used to analyze factors affecting the health-promoting behavior according to survival stage.

Result

The factors affecting the health-promoting behavior of thyroid cancer survivors differed by survival stage. In the acute stage, the factors of health-promoting behavior were self-efficacy (t = 4.76, p < .001) and social support (t = 3.54, p < .001). In the extended stage, symptoms (t =  − 3.65, p < .001), social support (t = 2.61, p = .011), fear of recurrence (t = 2.18, p = .032), and receipt of radioiodine treatment (t =  − 2.18, p = .032) were found to be significant variables that affected health-promoting behaviors. In the permanent stage, social support (t = 2.79, p = .007), receipt of radioiodine treatment (t =  − 3.21, p = .002), and age (t =  − 2.77, p = .007) were significant variables that affected health-promoting behaviors.

Conclusion

The experience of thyroid cancer survivors varies as they progress through the survival stages; thus, health-promotion interventions should be tailored to each survival stage.

The impact of a digital platform on migraine patient-centered outcome research. Evaluation of midolordecabeza.org, a headache website in Spanish

OBJECTIVE

This internet survey aimed to analyze the activity of midolordecabeza.org, a specialized website for headache stakeholders.

BACKGROUND

eHealth tools, such as websites, can be educational for stakeholders of a specific disease, such as patients. This is particularly helpful in chronic disorders such as migraine. eHealth also enhances patient-centered outcome research. The website midolordecabeza.org has the stated aim of organizing key information on headache making it accessible and useful for all stakeholders, and, eventually promoting patient participation.

METHODS

We analyzed Google Analytics (GA) data to study the web's activity, traffic source, geographical distribution of access, registered-user behavior, electronic device performance, and temporary references with greater web activity.

RESULTS

From January 2015 until December 2020, the website registered 1,121,585 visitors, 1,775,953 sessions, and a total of 3,833,144 views with an average time per session of nearly 2 min. Higher data traffic has been registered in Spanish-speaking countries such as Spain (33.3%; 591,256/1,775,953), where Spain's regions with higher views were statistically significantly correlated with the nationwide migraine prevalence (ρ = 0.505; p = 0.039). In regard to social behavior, returning users were statistically significantly associated with being a woman (84.0%; 5696/6781), and they predominantly acceded from organic searches (50.6%; 3434/6781). When answering available open surveys, 72.5% (1827/2520) described their migraine as a disabling disease with high impact on their daily tasks and 64.4% (14,016/21,764) were unaware of what their headache diagnosis is.

CONCLUSIONS

Spanish-speaking patients with migraine around the world increasingly visited the headache-specialized website midolordecabeza.org using different electronic devices, showing great interest in their disease. This website allowed them to get updated information on their disease, share clinical data with physicians, and finally express their concerns.

Systematic review of context-aware digital behavior change interventions to improve health

Health risk behaviors are leading contributors to morbidity, premature mortality associated with chronic diseases, and escalating health costs. However, traditional interventions to change health behaviors often have modest effects, and limited applicability and scale. To better support health improvement goals across the care continuum, new approaches incorporating various smart technologies are being utilized to create more individualized digital behavior change interventions (DBCIs). The purpose of this study is to identify context-aware DBCIs that provide individualized interventions to improve health. A systematic review of published literature (2013-2020) was conducted from multiple databases and manual searches. All included DBCIs were context-aware, automated digital health technologies, whereby user input, activity, or location influenced the intervention. Included studies addressed explicit health behaviors and reported data of behavior change outcomes. Data extracted from studies included study design, type of intervention, including its functions and technologies used, behavior change techniques, and target health behavior and outcomes data. Thirty-three articles were included, comprising mobile health (mHealth) applications, Internet of Things wearables/sensors, and internet-based web applications. The most frequently adopted behavior change techniques were in the groupings of feedback and monitoring, shaping knowledge, associations, and goals and planning. Technologies used to apply these in a context-aware, automated fashion included analytic and artificial intelligence (e.g., machine learning and symbolic reasoning) methods requiring various degrees of access to data. Studies demonstrated improvements in physical activity, dietary behaviors, medication adherence, and sun protection practices. Context-aware DBCIs effectively supported behavior change to improve users' health behaviors.

Expanding the Capabilities of Nutrition Research and Health Promotion Through Mobile-Based Applications

Mobile-based applications are popular and prevalently used in the US population. Applications focusing on nutrition offer platforms for quantifying and changing behaviors to improve dietary intake. Such behavior changes can intervene in the relation of diet to promote health and prevent disease. Mobile applications offer a safe and convenient way to collect user data and share it back to users, researchers, and to health care providers. Other lifestyle factors like activity, sleep, and sedentary behavior, can also be quantified and included in investigations of how lifestyle is related to health. Yet, challenges in the assessment offered through mobile applications and effectiveness to change behavior still remain, including rigorous evaluation, demonstration of successful health improvement, and participant engagement. The data mobile applications generate, however, expands opportunities for discovery of the integrated and time-based nature of various daily activities in relation to health. This article is a summary of a symposium at Nutrition 2020 Live Online on the role of mobile applications as a tool for nutrition research and health promotion. The types and capabilities of mobile applications, challenges in their evaluation and use in research, and opportunities for the data they generate along with a specific example, are reviewed.

Effectiveness of Nurse-Driven Discharge Teaching Using Mobile Application for Home-Based Health Care Practices among Postoperative Neurosurgical Patients or Caregivers in a Tertiary Care Hospital, New Delhi: A Randomized Control Study

Introduction Considering the increased access to mobile use even in the remote areas, it may be feasible to utilize mobile application (App)-based education among neurosurgical patients and caregivers for home-based care.

Objective This study was aimed to assess the effectiveness of nurse-driven discharge teaching using mobile App for home-based health care practices in terms of discharge advice compliances, revisits, and satisfaction among postoperative neurosurgical patients.

Materials and Methods This randomized control trial was conducted among 100 (50 in each arm) postoperative neurosurgical patients admitted to Neurosurgery department, All India Institute of Medical Sciences (AIIMS), New Delhi. The experimental group received mobile App–based discharge teaching additional to the routine paper-based discharge teaching received by the control group. Data were collected at baseline, during first (within 30th day) and second (within 60th day) routine follow-up visits using adherence to refills and medications scale (ARMS) questionnaire (medication compliance), self-developed structured questionnaires (lifestyle practices like tracheostomy tube (TT) catheter care, exercises and diet changes, revisits, and satisfaction) and computerized log record from App. Data were analyzed using descriptive and inferential statistics.

Results The demographic and clinical profiles of both groups were comparable. There was no statistically significant difference in medication compliance between the experimental group and control group (p = 0.35 and 0.53) in first and second posttests, respectively. The level of confidence to perform lifestyle practices was high among experimental group. The subgroup analysis showed that patients in experimental arm were more compliant to medications as compared with control group (p = 0.001). Both the groups were comparable in terms of revisits (p = 0.26). However, the overall satisfaction of experimental group was reported to be highly using mobile App based teaching than control group with routine paper-based discharge teaching (p = 0.001).

Conclusion Nurse-driven discharge teaching using mobile App is an effective method for neurosurgical patients to adhere to home-based discharge teachings. Use of technology like mobile Apps in vernacular language can bridge the gap for improving home-based care and follow-up among patients in resource constrained settings.

The Relevance of Mobile Applications in the Learning of Physical Education

Mobile telephony has developed exponentially, offering a multitude of services that could be optimal for the educational field of physical and sports activity (PSA). The objective of this research was to analyze the use of smartphone by 40 Spanish teenagers and assess the degree of satisfaction of the Polar Beat application within the subject of physical education in high school. The instruments used were two quantitative questionnaires and the data were analyzed with the statistical package SPSS 24.0. The teenagers recognized that they use the smartphone for instant messaging, telephone calls and downloads of games and tunes. The Polar Beat application in physical education classes has allowed them a better understanding of the content developed; the students affirmed that their motivation towards PSA increased with the knowledge and use of the Polar Beat app and that smartphones are innovative and effective tools. With all this, the mobile phone could be an educational tool that awakens interest in teenagers and teachers.

Using Mobile Applications to Increase Physical Activity: A Systematic Review

Unhealthy diet and physical inactivity—major risk factors for the main non-communicable diseases—can be addressed by mobile health applications. Using an evidence-based systematic review design, we analysed studies on mobile applications to foster physical activity to determine whether they met the objective of increasing adults’ physical activity. A bibliographic search was conducted in October 2020 using PubMed, Cochrane Library Plus, Biomed Central, Psychology Database, and SpringerLink, retrieving 191 articles. After titles and abstracts were reviewed, 149 articles were excluded, leaving 42 articles for a full-text review, of which 14 met the inclusion criteria. Despite differences in study duration, design, and variables, 13 of the 14 studies reported that applications were effective in increasing physical activity and healthy habits as dietary behaviour. However, further longer-term studies with larger samples are needed to confirm the effectiveness of mobile health applications in increasing physical activity.

Beating cancer-related fatigue with the Untire mobile app: Results from a waiting-list randomized controlled trial

OBJECTIVE

This waiting-list randomized controlled trial examined the effectiveness of a self-management mHealth app in improving fatigue and quality of life (QoL) in cancer patients and survivors.

METHODS

Persons with cancer-related fatigue (CRF) were recruited across four English speaking countries, via social media, and randomized into intervention (n = 519) and control (n = 280) groups. Whereas the intervention group received immediate access to the Untire app, the control group received access only after 12-weeks. Primary outcomes fatigue severity and interference, and secondary outcome QoL were assessed at baseline, 4, 8, and 12-weeks. We ran generalized linear mixed models for all outcomes to determine the effects of app access (yes/no), over 12-weeks, following the intention-to-treat principle.

RESULTS

Compared with the control group, the intervention group showed significantly larger improvements in fatigue severity (d = 0.40), fatigue interference (d = 0.35), and overall QoL on average (d = 0.32) (P's < .01), but not for overall QoL in the past week (P = .07). Sensitivity analyses indicated that participants with medium or high app use benefited most when compared with nonusers and control participants (P's ≤ .02). The intervention effect on fatigue interference was slightly stronger in younger participants (≤56 vs. >56). Effects did not depend on education and cancer status. Reliable change analyses indicated that significantly more people showed full recovery for fatigue in the intervention vs the control group (P's = .02).

CONCLUSIONS

The Untire app can be an effective mHealth solution for cancer patients and survivors with moderate to severe CRF.

An online-based intervention to promote healthy eating through self-regulation among children: study protocol for a randomized controlled trial

BACKGROUND

Despite the enormous investment governments allocate to fight obesity, its worldwide prevalence is still on the rise. Moreover, the majority of the programs implemented are still targeting adults struggling with overweightness and focusing on transmitting knowledge about food. However, research shows that obesity prevention is more efficacious and cheaper, and beliefs about healthy eating have a stronger influence on eating behavior than declarative knowledge about food. In fact, knowledge about healthy eating only influences weight status when combined with self-regulation competences. Thus, the main goal of the current project is to develop and evaluate the efficacy of an online preventive intervention program, the HEP-S. This program is designed to promote and develop a set of transversal skills and strategies, related to self-regulation, on the healthy eating domain among school-aged children.

METHODS

A three-armed randomized controlled trial will be conducted in several schools in Portugal. It will include a standard control group, with no intervention; an online intervention group, with the program for 20 weeks; and an enhanced online intervention group, with the program for 20 weeks embedded with gamification strategies throughout the program. Per research group, 40 groups of about 15 children each will be recruited and measured at five different time points. The three research groups will complete the same assessment protocol at the same timings (baseline, post-intervention, and 3, 6, and 9 months' follow-ups). The assessment protocol will include anthropometric and psychological measures. The primary outcome measures will be the development of self-regulation skills for healthy eating over time, the development of self-efficacy attitudes, knowledge about healthy eating over time, and others. The secondary outcome measures will include the effect of gamification strategies, engagement, and satisfaction with the program, among others. The program will comprise the following: (i) a weekly group synchronous videoconference session with a trained educational psychologist serving as a mediator and (ii) a weekly parental involvement activity. Narratives, or story-tools, embedded with self-regulation strategies are at the core of the intervention.

DISCUSSION

The program may play an important role in preventing risky and unhealthy eating behaviors by focusing on the development of self-regulation skills and strategies among elementary school children.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04099498 . Registered on 23 September 2019.

Improvement in Healthy Meal Index, Lunch Quality, and Diversity Scores Following an Integrated Nutritional Intervention in a Communal Dining Room: The NEKST Study

The objective of the NEKST (Nutrition Environmental Kibbutzim Study), a nonrandomized interventional study, was to evaluate the effect of an integrated intervention program on participants’ lunch quality and diversity in two communal dining rooms (intervention n = 58 vs. control n = 54). The intervention included recipe modification, environmental changes, and an education program. The outcomes included simple healthy meal index (SHMI), lunch quality (LQS), and diversity scores (LDS) calculated based on photographs of lunch trays. A nutrition questionnaire assessed the changes in fruit and vegetable intake at baseline and 3 months following the intervention. The mean SHMI, LQS, and LDS increased in the intervention group (0.51, p < 0.001; 0.27, p = 0.045; 0.95, p < 0.001, respectively) but not in the control group (p = 0.865; p = 0.339; p = 0.354, respectively). Multivariable linear models demonstrate an increase in the SHMI (β = 0.26, 95% CI [0.12–0.76], p = 0.015), LQS (β = 0.23, 95% CI [0.06–0.83], p = 0.024), and LDS (β = 0.34, 95% CI [0.41–1.39], p < 0.001) of the participants in the intervention group. More participants in the intervention group raised their daily fruit intake compared with the control. We conclude that this integrated intervention program was effective in improving lunch healthy meal index, quality, and diversity in a communal dining room, with a modest halo effect of the intervention throughout the day.

Community-Based Prevention Programs for Disordered Eating and Obesity: Updates and Current Limitations

PURPOSE OF REVIEW

To review the status of community-based disordered eating and obesity prevention programs from 2014 to 2019.

RECENT FINDINGS

In the last 5 years, prevention programs have found success in intervening with children and parental figures in wellness centers, physical activity centers, childcare centers, workplaces, online, and over-the-phone through directly reducing disordered eating and obesity or by targeting risk factors of disordered eating and obesity. Community-based prevention programs for disordered eating and programs targeting both disordered eating and obesity were scarce, highlighting the critical need for the development of these programs. Qualities of the most effective programs were those in which parents and children were educated on physical activity and nutrition via multiple group-based sessions. Limitations of current prevention programs include few programs targeting high-risk populations, a dearth of trained community members serving as facilitators, inconsistent reporting of adherence rates, and few direct measurements of disordered eating and obesity, as well as few long-term follow-ups, precluding the evaluation of sustained effectiveness.

Video-based smartphone app ('VIDEA bewegt') for physical activity support in German adults: a study protocol for a single-armed observational study

INTRODUCTION

Insufficient physical activity is one of the most important risk factors for non-communicable diseases. Physical activity should therefore be intensively promoted in all age groups. Several trials suggest that it can be effectively increased through smartphone interventions.However, few of the smartphone-interventions available on the market have been scientifically evaluated. Therefore, the described study aims to assess the short-term and long-term effects of the smartphone intervention 'VIDEA bewegt' to increase physical activity. The trial is designed as a single-armed observational trial to assess effects under real-life conditions.

METHODS AND ANALYSIS

The intervention consists of the smartphone-application 'VIDEA bewegt', which is a video-based preventative programme to improve physical activity in everyday life. The application contains several features and components including educational videos, documentation of activity and motivational exercises. A sample size of at least 106 participants is aimed for.The primary objective of this study is to determine the effect of the application on physical activity in German adults. Secondary objectives are to evaluate the self-efficacy, health-related quality of life and usability of 'VIDEA bewegt'.Data collection is based on online questionnaires, as well as system-internal recorded data.Changes of outcomes from baseline to programme completion and follow-up will be calculated.

ETHICS AND DISSEMINATION

The Ethics Committee of the Technical University Dresden approved the study on 25 May 2019 (EK 272062019). All data are processed anonymously and stored on servers only accessible by authorised personnel. The results of the study and the results of the usability test are aimed to be published in a scientific journal.

TRIAL REGISTRATION NUMBER

German Clinical Trials Registry (DRKS00017392).

Promotion of Healthy Nutrition and Physical Activity Lifestyles for Teenagers: A Systematic Literature Review of The Current Methodologies

Amid obesity problems in the young population and apparent trends of spending a significant amount of time in a stationary position, promoting healthy nutrition and physical activities to teenagers is becoming increasingly important. It can rely on different methodologies, including a paper diary and mobile applications. However, the widespread use of mobile applications by teenagers suggests that they could be a more suitable tool for this purpose. This paper reviews the methodologies for promoting physical activities to healthy teenagers explored in different studies, excluding the analysis of different diseases. We found only nine studies working with teenagers and mobile applications to promote active lifestyles, including the focus on nutrition and physical activity. Studies report using different techniques to captivate the teenagers, including questionnaires and gamification techniques. We identified the common features used in different studies, which are: paper diary, diet diary, exercise diary, notifications, diet plan, physical activity registration, gamification, smoking cessation, pictures, game, and SMS, among others.

Beating Cancer-Related Fatigue With the Untire Mobile App: Protocol for a Waiting List Randomized Controlled Trial

Background

Many cancer patients and survivors worldwide experience disabling fatigue as the main side effect of their illness and the treatments involved. Face-to-face therapy is effective in treating cancer-related fatigue (CRF), but it is also resource-intensive. Offering a self-management program via a mobile phone app (ie, the Untire app), based on elements of effective face-to-face treatments, might increase the number of patients receiving adequate support for fatigue and decrease care costs.

Objective

The aim of this protocol is to describe a randomized controlled trial (RCT) to assess the effectiveness of the Untire app in reducing fatigue in cancer patients and survivors after 12 weeks of app use as compared with a waiting list control group. Substudies nested within this trial include questions concerning the reach and costs of online recruitment and uptake and usage of the Untire app.

Methods

The Untire app study is a waiting list RCT targeting cancer patients and survivors who experience moderate to severe fatigue via social media (Facebook and Instagram) across 4 English-speaking countries (Australia, Canada, the United Kingdom, and the United States). The Untire app includes psychoeducation and exercises concerning energy conservation, activity management, optimizing restful sleep, mindfulness-based stress reduction, psychosocial support, cognitive behavioral therapy, and physical activity. After randomization, participants in the intervention group could access the Untire app immediately, whereas control participants had no access to the Untire app until the primary follow-up assessment at 12 weeks. Participants completed questionnaires at baseline before randomization and after 4, 8, 12, and 24 weeks. The study outcomes are fatigue (primary) and quality of life (QoL; secondary). Potential moderators and mediators of the hypothesized treatment effect on levels of fatigue and QoL were also assessed. Link clicks and app activation are used to assess reach and uptake, respectively. Log data are used to explore the characteristics of app use. Sample size calculations for the primary outcome showed that we needed to include 164 participants with complete 12-week measures both in the intervention and the control groups. The intention-to-treat approach is used in the primary analyses, which refers to analyzing all participants regardless of their app use.

Results

Participants were recruited from March to October 2018. The last participant completed the 24-week assessment in March 2019.

Conclusions

This mobile health (mHealth) RCT recruited participants online in multiple countries to examine the uptake and effectiveness of the Untire self-management app to reduce CRF. Many advantages of mHealth apps are assumed, such as the immediate access to the app, the low thresholds to seek support, and the absence of contact with care professionals that will reduce costs. If found effective, this app can easily be offered worldwide to patients experiencing CRF.

Trial Registration

Netherlands Trial Register NL6642; https://www.trialregister.nl/trial/6642.

International Registered Report Identifier (IRRID)

DERR1-10.2196/15969

The Use and Effects of an App-Based Physical Activity Intervention "Active2Gether" in Young Adults: Quasi-Experimental Trial

BACKGROUND

Insufficient physical activity (PA) is highly prevalent and associated with adverse health conditions and the risk of noncommunicable diseases. To increase levels of PA, effective interventions to promote PA are needed. Present-day technologies such as smartphones, smartphone apps, and activity trackers offer several possibilities in health promotion.

OBJECTIVE

This study aimed to explore the use and short-term effects of an app-based intervention (Active2Gether) to increase the levels of PA in young adults.

METHODS

Young adults aged 18-30 years were recruited (N=104) using diverse recruitment strategies. The participants were allocated to the Active2Gether-Full condition (tailored coaching messages, self-monitoring, and social comparison), Active2Gether-Light condition (self-monitoring and social comparison), and the Fitbit-only control condition (self-monitoring). All participants received a Fitbit One activity tracker, which could be synchronized with the intervention apps, to monitor PA behavior. A 12-week quasi-experimental trial was conducted to explore the intervention effects on weekly moderate-to-vigorous PA (MVPA) and relevant behavioral determinants (ie, self-efficacy, outcome expectations, social norm, intentions, satisfaction, perceived barriers, and long-term goals). The ActiGraph wGT3XBT and GT3X+ were used to assess baseline and postintervention follow-up PA.

RESULTS

Compared with the Fitbit condition, the Active2Gether-Light condition showed larger effect sizes for minutes of MVPA per day (regression coefficient B=3.1; 95% CI -6.7 to 12.9), and comparatively smaller effect sizes were seen for the Active2Gether-Full condition (B=1.2; 95% CI -8.7 to 11.1). Linear and logistic regression analyses for the intervention effects on the behavioral determinants at postintervention follow-up showed no significant intervention effects of the Active2Gether-Full and Active2Gether-Light conditions. The overall engagement with the Fitbit activity tracker was high (median 88% (74/84) of the days), but lower in the Fitbit condition. Participants in the Active2Gether conditions reported more technical problems than those in the Fitbit condition.

CONCLUSIONS

This study showed no statistically significant differences in MVPA or determinants of MVPA after exposure to the Active2Gether-Full condition compared with the Active2Gether-Light or Fitbit condition. This might partly be explained by the small sample size and the low rates of satisfaction in the participants in the two Active2Gether conditions that might be because of the high rates of technical problems.

Effects of a mobile healthcare service provided by public health centers on practicing of health behaviors and health risk factors

BACKGROUND/OBJECTIVES

This study evaluated whether a mobile health (mHealth) application can instigate healthy behavioral changes and improvements in metabolic disorders in individuals with metabolic abnormalities.

SUBJECTS/METHODS

Participants were divided into an mHealth intervention group (IG), which used a mobile app for 24 weeks, and a conventional IG. All mobile apps featured activity monitors, with blood pressure and glucose monitors, and body-composition measuring devices. The two groups were compared after 24 weeks in terms of health-behavior practice rate and changes in the proportion of people with health risks, and health behaviors performed by the IG that contributed to reductions in more than one health risk factor were analyzed using multiple logistic regression.

RESULTS

Preference for low-sodium diet, reading nutritional facts, having breakfast, and performing moderate physical activity significantly increased in the mHealth IG. Furthermore, the mHealth IG showed a significant increase of eight items in the mini-dietary assessment; particularly, the items “I eat at least two types of vegetables of various colors at every meal” and “I consume dairies, such as milk, yogurt, and cheese, every day.” The proportion of people with health risks, with the exception of fasting glucose, significantly decreased in the mHealth IG, while only the proportion of people with at-risk triglycerides and waist circumference of females significantly decreased in the control group. Finally, compared to those who did not show improvements of health risks, those who showed improvements of health risks in the mHealth IG had an odds ratio of 1.61 for moderate to vigorous physical activity, 1.65 for “I do not add more salt or soy sauce in my food,” and 1.77 for “I remove fat in my meat before eating.”

CONCLUSIONS

The findings suggest that the additional use of a community-based mHealth service through a mobile application is effective for improving health behaviors and lowering metabolic risks in Koreans.

Factors influencing user's adherence to physical activity applications: A scoping literature review and future directions

BACKGROUND

Although mobile app-delivered physical activity (PA) interventions have the potential to promote exercise, poor adherence to these apps is a common issue impeding their effectiveness. Gaining insights into the factors that influence PA app adherence is an important priority for app developers and intervention designers.

OBJECTIVE

The objective of this study is to perform a literature review to synthesize the factors influencing PA app adherence and to identify directions for future research in this area.

METHODS

A scoping review of prior research was conducted to uncover the factors influencing PA app adherence. Seven online journal databases were searched for relevant articles published from January 1, 2014, to December 31, 2018. The initial search identified 5,572 articles. After a screening and eligibility check based on inclusion criteria, 24 articles were finally selected. The definition of PA app adherence in this review could be categorized along four dimensions derived from previous studies: i.e., frequency of PA app usage, intention/motivation to sustain use of the PA app, degree of function use within the PA app, and the duration of PA app usage.

RESULTS

Of the 24 included studies (both qualitative and quantitative), 12 studies were conducted in the U.S. The methods and study designs varied considerably, with the study durations ranging from 2 weeks to 24 months. The synthesized evidence indicates that 89 distinct factors influenced PA app adherence, and these could be classified into three categories: Personal Factors (n = 28), Technology Features (n = 53), and Contextual Factors (n = 8). Nine more detailed sub-categories were also compiled. Factors in sub-categories, such as psychological factors, health-related factors and predefined goals, are essential for physical activity behavior change experts to implement interventions. Factors in technology features, including PA tracking, PA goal setting and customization of exercise, are specifically useful for PA app developers or PA intervention designers. Overall, evidence of causal factors was limited. Only 5 of the 24 articles explored causal factors that affect PA app adherence. Furthermore, longitudinal studies with long durations were also limited.

CONCLUSIONS

Uncovering the factors influencing PA app adherence is critical as it can expand our current knowledge and provide guidance for app-delivered PA interventions, as well as the design of PA apps. This scoping review identified and categorized factors that influence PA app adherence in prior studies. Based on the evidence synthesized, users are paying more attention to the "playfulness" and personalized features of PA apps, in addition to basic functional requirements. Also, app glitches are the most common factors found to negatively influence app adherence. Several important directions for future research are highlighted in this review, especially the design of studies to explore causality.

The use of information and communication technologies to promote healthy lifestyle behaviour: a systematic scoping review

INTRODUCTION

Health-promoting lifestyle behaviours are part of the activities of daily living that influence individual happiness, values and well-being. They play a crucial role in prevention and control of non-communicable diseases (NCDs) among all age groups. Current statistics on mortality, disability and morbidity associated with NCDs are alarming globally. The use of information and communication technology (ICT) for a health-promoting lifestyle behaviour programme enhances health behaviours that are important in the prevention and control of both communicable and non-communicable diseases. Our study aimed to map evidence on the use of ICT in comprehensive health-promoting lifestyle behaviour among healthy adults.

METHODS

Eleven electronic databases were searched for the study. We included studies published in English between January 2007 and December 2018 reporting on healthy adults, ICT and any subscales of the health-promoting lifestyle profile (HPLP). Studies focusing on diseases or disease management and studies that combine monitoring tools in the form of hardware (accelerometer or pedometer) with ICT or computer games were excluded. Data were summarised numerically and thematically.

RESULTS

All the studies reviewed were conducted in developed countries. Most of the studies reported on physical activity, and findings of one study covered all the subscales of HPLP. The use of ICT for health-promoting lifestyle behaviours was reported to be effective in ensuring health behaviours that can improve physical and mental health.

CONCLUSION

Our findings showed that there is a dearth of knowledge on comprehensive health-promoting lifestyle behaviour that can be beneficial for the control and prevention of NCDs. There is a need to carry out primary studies on the use of ICT and comprehensive health-promoting lifestyle, especially among adults in low-income and middle-income countries where there are alarming statistics for mortality and disability associated with NCDs.

PROSPERO REGISTRATION NUMBER

CRD42016042568.

Assessment of the Efficacy, Safety, and Effectiveness of Weight Control and Obesity Management Mobile Health Interventions: Systematic Review

BACKGROUND

The use of apps to tackle overweight and obesity by tracking physical and dietary patterns and providing recommendations and motivation strategies to achieve personalized goals has increased over recent years. However, evidence of the efficacy, effectiveness, and safety of these apps is severely lacking.

OBJECTIVE

The aim of this study was to identify efficacy, safety, and effectiveness criteria used to assess weight control, overweight, and obesity management in mobile health (mHealth) interventions through a systematic review.

METHODS

PubMed, PsycINFO, Scopus, UK Trial Database, ClinicalTrials.gov, and the Cochrane Library were surveyed up to May 2018. All types of clinical studies were considered. A total of 2 independent reviewers assessed quality using Scottish Intercollegiate Guidelines Network (SIGN) criteria. Ratings were used to provide an overall score for each study (low, moderate, or high). Data were synthesized in evidence tables.

RESULTS

From 233 potentially relevant publications, only 28 studies were included. Of these, 13 (46%) were randomized control trials, 11 were single-arm studies (39%), 3 were nonrandomized controlled trials (11%), and 1 study was a cluster randomized trial (4%). The studies were classified as low (15), high (7), and moderate (6) quality according to SIGN criteria. All studies focused on efficacy, with only 1 trial mentioning safety and another 1 effectiveness. In 11 studies, the apps were used as stand-alone interventions, the others were multicomponent studies that included other tools for support such as sensors or websites. The main management tool included in the apps was feedback messaging (24), followed by goal-setting mechanisms (20) and self-monitoring (19). The majority of studies took weight or body mass index loss as the main outcome (22) followed by changes in physical activity (14) and diet (12). Regarding outputs, usability, adherence, and engagement (17) were the most reported, followed by satisfaction (7) and acceptability (4).

CONCLUSIONS

There is a remarkable heterogeneity among these studies and the majority have methodological limitations that leave considerable room for improvement. Further research is required to identify all relevant criteria for assessing the efficacy of mHealth interventions in the management of overweight and obesity.

TRIAL REGISTRATION

PROSPERO CRD42017056761; https://tinyurl.com/y2zhxtjx.

Developing and Pilot Testing an Integrated Technology-Moderated Institutional Health Promotion Model Using Operational Research Approach

The study aimed to develop and pilot test an Integrated Technology-Moderated Institutional Health Promotion Model for university staff in Nigeria. An operational research approach using mixed concurrent design was adopted to develop the model, and pretest-posttest method was used to evaluate the utilization and effectiveness of the developed model. The participants in the study were university staff. Health-promoting lifestyle behavior and health status were measured via the adapted Health-Promoting Lifestyle Profile II instrument. The emerging model (an Integrated Technology-Moderated Institutional Health Promotion Model, which is an Android phone app named Tertiary Staff Health Promotion App) was deployed. Data were collected before and 12 weeks after the app deployment. The quantitative and qualitative data findings were combined to develop an integrated technology-moderated institutional health promotion model as a means to enhance health-promoting lifestyle behavior and health status of staff. The result of the pilot testing of the model showed that the model enhances health-promoting lifestyle behaviors and improves the health status of staff. Nurses, especially in community/public health nursing practice, can provide innovative interventions to drive and enhance health-promoting lifestyle behavior and improve health status of workers and other population groups through effective use of information and communication technology.

Development of the Top Tips Habit-Based Weight Loss App and Preliminary Indications of Its Usage, Effectiveness, and Acceptability: Mixed-Methods Pilot Study

BACKGROUND

The Ten Top Tips (10TT) is an intervention based on the habit formation theory that promotes a set of weight management behaviors alongside advice about repetition in a consistent context. Overall, 3 studies have demonstrated that the 10TT can support individuals to lose weight when delivered in a leaflet format. Delivery of 10TT via new technology such as a mobile app could potentially improve its effectiveness and make it more convenient, appealing, and wide reaching.

OBJECTIVE

This study aimed to provide preliminary indications of the usage, effectiveness, and acceptability of an Android app of the 10TT intervention (Top Tips only app) and a second version including self-regulatory strategies for dealing with tempting foods (Top Tips plus app).

METHODS

The 3-month pilot randomized adults with overweight or obesity to (1) Top Tips only app, (2) Top Tips plus app, or (3) waiting list condition. Automated data from app users were collected. Validated questionnaires assessed self-regulatory skills, weight loss (kg), and behaviors at baseline and 3 months. Users' feedback on their experience using the app was assessed using open questions.

RESULTS

A total of 81 participants took part in the pilot; 28 participants were randomized to the Top Tips only app, 27 to the Top Tips plus app, and 26 to the waiting list condition. On average, participants viewed a mean of 43.4 (SD 66.9) screens during a mean of 24.5 (SD 44.07) log-ins and used the app for 124.2 (SD 240.2) min over the 3-month period. Participants randomized to the Top Tips only app reported the greatest improvement in self-regulatory skills (mean 0.59, SD 1.0), weight loss (mean 4.5 kg, SD 5.2), and adherence to the target behaviors (mean 0.59, SD 0.49) compared with the Top Tips plus (meanself-regulation 0.15, SD 0.42; meanweight -1.9, SD 3.9; and meanbehaviors 0.29, SD 0.29) and waiting list condition (meanself-regulation -0.02, SD 0.29; meanweight -0.01, SD 0.51; and meanbehaviors 0.08, SD 0.38). Participants who reported the largest improvements, on average, viewed pages 2 to 3 times more, had 2 to 3 times more log-ins, logged their weight 2 to 3 times more, and achieved the tips more than those who reported smaller changes in these outcomes. According to users' feedback, engagement with the app could be increased by making the app more interactive and allowing more tailoring.

CONCLUSIONS

This study suggests that the Top Tips app could potentially be a useful intervention for promoting eating self-regulatory skills, weight loss, and weight management behaviors among adults with overweight or obesity. Future research should develop the app further based on user feedback and test it in larger sample sizes.

TRIAL REGISTRATION

ISRCTN Registry ISRCTN10470937; http://www.isrctn.com/ISRCTN10470937 (Archived by Webcite at http://www.webcitation.org/76j6rQibI).

Relevance of Activity Tracking With Mobile Devices in the Relationship Between Physical Activity Levels and Satisfaction With Physical Fitness in Older Adults: Representative Survey

Background

Physical activity has been shown to positively affect many aspects of life, and the positive relationship between physical activity levels and health is well established. Recently, research on the interrelationship between physical activity levels and subjective experiences has gained attention. However, the underlying mechanisms that link physical activity levels with subjective experiences of physical fitness have not been sufficiently explained.

Objective

This study aimed to explore the role of physical activity tracking (PAT) in the relationship between physical activity levels and satisfaction with physical fitness in older adults. It is hypothesized that higher levels of physical activity are associated with a higher satisfaction with physical fitness in older adults and that this positive association is stronger for older people who use mobile devices for PAT.

Methods

As part of this study, 1013 participants aged 50 years or older and living in Switzerland were interviewed via computer-assisted telephone interviews. Bivariate and multivariate analyses were applied. The interaction effects between physical activity levels and PAT were evaluated using multiple linear regression analysis.

Results

Descriptive analyses showed that 719 participants used at least 1 mobile device and that 136 out of 719 mobile device users (18.9%) used mobile devices for PAT. In the multivariate regression analysis, frequent physical activity was found to have a positive effect on satisfaction with physical fitness (beta=.24, P<.001). A significant interaction effect between physical activity levels and PAT (beta=.30, P=.03) provides some first evidence that the positive effects of physical activity on satisfaction with physical fitness can be enhanced by PAT.

Conclusions

The results indicate the potential of PAT to enhance the physical fitness of older adults. However, the results also raise new issues in this context. Recommendations for further research and practice include the acquisition of longitudinal data, a more detailed observation of durations of use, and the development of devices for PAT considering health psychology and gerontology theories.

What is the role of smartphones on physical activity promotion? A systematic review and meta-analysis

OBJECTIVES

To identify and evaluate the effect of interventions that used cell phones as a means to promote physical activity (PA).

METHODS

The databases searched were MedLine/PubMed, Scopus, SPORTDiscus, PsycINFO, Science Direct, Lilacs, and SciELO. After removing duplicates, applying exclusion criteria, and checking the reference lists, 45 studies were reviewed. The Downs and Black (D&B) scale measured methodological quality, and a random effect model was used to compute the meta-analysis of PA by the reported unit (minutes per day or steps per day), delivery agent (application (APP), SMS, or other), and PA measurement (questionnaire, accelerometer, pedometer).

RESULTS

Mobile phone-based PA interventions were efficient in increasing both minutes [10.49; CI (3.37-17.60); p = 0.004] and steps per day [735.17; CI (227.72-1242.61); p = 0.005] in adults when compared to baseline. Furthermore, APP-based interventions were able to increase the number of steps (p = 0.04) and minutes per day of PA (p = 0.04) in adults. Also, 85% of included manuscripts were classified as moderate- to high-quality articles.

CONCLUSIONS

Mobile phone-based PA interventions, inclusive those delivery by APP, were effective to increase minutes and steps per day in adults.

Investigating Intervention Components and Exploring States of Receptivity for a Smartphone App to Promote Physical Activity: Protocol of a Microrandomized Trial

Background

Smartphones enable the implementation of just-in-time adaptive interventions (JITAIs) that tailor the delivery of health interventions over time to user- and time-varying context characteristics. Ideally, JITAIs include effective intervention components, and delivery tailoring is based on effective moderators of intervention effects. Using machine learning techniques to infer each user’s context from smartphone sensor data is a promising approach to further enhance tailoring.

Objective

The primary objective of this study is to quantify main effects, interactions, and moderators of 3 intervention components of a smartphone-based intervention for physical activity. The secondary objective is the exploration of participants’ states of receptivity, that is, situations in which participants are more likely to react to intervention notifications through collection of smartphone sensor data.

Methods

In 2017, we developed the Assistant to Lift your Level of activitY (Ally), a chatbot-based mobile health intervention for increasing physical activity that utilizes incentives, planning, and self-monitoring prompts to help participants meet personalized step goals. We used a microrandomized trial design to meet the study objectives. Insurees of a large Swiss insurance company were invited to use the Ally app over a 12-day baseline and a 6-week intervention period. Upon enrollment, participants were randomly allocated to either a financial incentive, a charity incentive, or a no incentive condition. Over the course of the intervention period, participants were repeatedly randomized on a daily basis to either receive prompts that support self-monitoring or not and on a weekly basis to receive 1 of 2 planning interventions or no planning. Participants completed a Web-based questionnaire at baseline and postintervention follow-up.

Results

Data collection was completed in January 2018. In total, 274 insurees (mean age 41.73 years; 57.7% [158/274] female) enrolled in the study and installed the Ally app on their smartphones. Main reasons for declining participation were having an incompatible smartphone (37/191, 19.4%) and collection of sensor data (35/191, 18.3%). Step data are available for 227 (82.8%, 227/274) participants, and smartphone sensor data are available for 247 (90.1%, 247/274) participants.

Conclusions

This study describes the evidence-based development of a JITAI for increasing physical activity. If components prove to be efficacious, they will be included in a revised version of the app that offers scalable promotion of physical activity at low cost.

Trial Registration

ClinicalTrials.gov NCT03384550; https://clinicaltrials.gov/ct2/show/NCT03384550 (Archived by WebCite at http://www.webcitation.org/74IgCiK3d)

International Registered Report Identifier (IRRID)

DERR1-10.2196/11540

Mobile App-Based Health Promotion Programs: A Systematic Review of the Literature

This study investigated the features and usefulness of mobile app-based health promotion programs for the general population. A comprehensive bibliographic search of studies on health promotion programs using mobile apps in peer-reviewed journals published in English up to November 2017 was performed using the PubMed, Embase, and CINAHL databases. The inclusion criteria were (1) randomized control trial designs; (2) assessed mobile app-based interventions to promote adult health conditions; 12 studies were ultimately included. The most common topics were diet and physical activity (n = 8) and overall healthy lifestyle improvement (n = 4). The purpose of the apps included providing feedback on one’s health status (n = 9) and monitoring individual health status or behavior change (n = 9). Across all studies, health outcomes were shown to be better for mobile app users compared to non-users. Mobile app-based health interventions may be an effective strategy for improving health promotion behaviors in the general population without diseases. This study suggests that mobile app use is becoming commonplace for a variety of health-promoting behaviors in addition to physical activity and weight control. Future research should address the feasibility and effectiveness of using mobile apps for health promotion in developing countries.

The Effectiveness of a Smartphone Application on Modifying the Intakes of Macro and Micronutrients in Primary Care: A Randomized Controlled Trial. The EVIDENT II Study

Background: This study evaluates the effectiveness of adding a diet smartphone application to standard counseling to modify dietary composition over the long term (12 months). Methods: A randomized, controlled, multicenter clinical trial was conducted involving the participation of 833 subjects from primary care clinics (415 to the intervention (counseling + application) group (IG) and 418 to the control (counseling) group (CG)). Both groups were counseled about a healthy diet and physical activity. For the 3-month intervention period, the IG was also trained to use a diet smartphone application that involved dietary self-monitoring and tailored feedback. Nutritional composition was estimated using a self-reported food frequency questionnaire. Results: An analysis of repeated measures revealed an interaction between the group and the percentages of carbohydrates (p = 0.031), fats (p = 0.015) and saturated fats (p = 0.035) consumed. Both groups decreased their energy intake (Kcal) at 12 months (IG: −114 (95% CI: −191 to −36); CG: −108 (95% CI: −184 to −31)). The IG reported a higher percentage intake of carbohydrates (1.1%; 95% CI: 0.1 to 2.0), and lower percentage intakes of fats (−1.0%; 95% CI: −1.9 to −0.1) and saturated fats (−0.4%; 95%CI: −0.8 to −0.1) when compared to the CG. Conclusions: Better results were achieved in terms of modifying usual diet composition from counseling and the diet smartphone application compared to counseling alone. This was evaluated by a self-reported questionnaire, which indicated an increased percentage intake of carbohydrates, and decreased percentage intakes of fats and saturated fats.

The Effect of Physical Activity Interventions Comprising Wearables and Smartphone Applications on Physical Activity: a Systematic Review and Meta-analysis

BACKGROUND

Worldwide physical activity levels of adults are declining, which is associated with increased chronic disease risk. Wearables and smartphone applications offer new opportunities to change physical activity behaviour. This systematic review summarizes the evidence regarding the effect of wearables and smartphone applications on promoting physical activity.

METHODS

PubMed, EMBASE and Cochrane databases were searched for RCTs, published since January 2008, on wearables and smartphone applications to promote physical activity. Studies were excluded when the study population consisted of children or adolescents, the intervention did not promote physical activity or comprised a minor part of the intervention, or the intervention was Internet-based and not accessible by smartphone. Risk of bias was assessed by the Cochrane collaboration tool. The primary outcome was changed in physical activity level. Meta-analyses were performed to assess the pooled effect on (moderate-to-vigorous) physical activity in minutes per day and daily step count.

RESULTS

Eighteen RCTs were included. Use of wearables and smartphone applications led to a small to moderate increase in physical activity in minutes per day (SMD = 0.43, 95% CI = 0.03 to 0.82; I2 = 85%) and a moderate increase in daily step count (SMD = 0.51, 95% CI = 0.12 to 0.91; I2 = 90%). When removing studies with an unclear or high risk of bias, intervention effects improved and statistical heterogeneity was removed.

CONCLUSIONS

This meta-analysis showed a small to moderate effect of physical activity interventions comprising wearables and smartphone applications on physical activity. Hence, wearables and smartphone applications are likely to bring new opportunities in delivering tailored interventions to increase levels of physical activity.

Considerations to facilitate a US study that replicates PREDIMED

The PREDIMED clinical trial provided strong evidence that a Mediterranean dietary pattern (MedDiet) could help prevent cardiovascular disease (CVD) events in high risk middle-aged/older people. This report considers the feasibility of replicating PREDIMED in the U.S., including recommendations for dietary and behavioral principles. A 14-point Mediterranean diet Adherence Score (MEDAS) guided the PREDIMED MedDiet recommendations. At baseline MEDAS points were ~8.5. During intervention this score increased to nearly 11 in MedDiet vs. 9 in control. In the MedDiet groups, only about 0.5 points of the net 2 point MEDAS increase was attributable to the gratis supplements of olive oil or nuts. An issue in a U.S. replication is the large difference in typical U.S. versus Spanish diet and lifestyle. A typical U.S. diet would achieve a MEDAS of 1-2. A replication is scientifically feasible with an assumption such as that the MedDiet reflects a continuum of specific food choices and meal patterns. As such, a 2 point change in MEDAS at any point on the continuum would be hypothesized to reduce incident CVD. A conservative approach would aim for a randomized 4 point MEDAS difference, e.g. 5-6 points vs. an average U.S. diet group that achieved only 1-2 points.

Long-Term Effectiveness of a Smartphone App for Improving Healthy Lifestyles in General Population in Primary Care: Randomized Controlled Trial (Evident II Study)

Background

Information and communication technologies are currently among the supporting elements that may contribute to improving health and changing lifestyles.

Objective

The aim of this study was to evaluate the long-term effectiveness of adding an app to standardized counseling in order to increase physical activity (PA) and adherence to the Mediterranean diet and to analyze the effects of app adherence in lifestyle changes.

Methods

A randomized, multicenter clinical trial with a 12 month-follow up was conducted, involving 833 participants recruited by random sampling in 6 primary Spanish care centers (415 vs 418). Counseling on PA and the Mediterranean diet was given to both groups by a research nurse; however, the counseling + app group (intervention group) received additional training in the use of an app that was designed to promote the Mediterranean diet and PA over a 3-month period. Main outcomes and measures included PA by accelerometer and the 7-day Physical Activity Recall (PAR) questionnaire and adherence to the Mediterranean diet by an adherence screener questionnaire. We considered adherence to the app to be high when it was used for more than 60 days.

Results

The mean age was 51 years (SD 12) in the intervention group and 52.3 years (SD 12.0) in the counseling-only group; females predominated in both groups (60.0%, 249/415 and 64.1%, 268/418, respectively). PA by accelerometer declined in both groups at 12 months (P value for tendency in moderate to vigorous PA, [MVPA]=.15). The intervention subgroup with high app adherence had better behavior than the low adherence subgroup (P value for tendency in MVPA=.001). PA analyzed by 7-day PAR did not show changes at 12 months in any of the groups (P value for tendency=.25). In the Mediterranean diet, an increase in adherence was observed in both groups at 12 months with no differences between them (P value for tendency=.46). In these two cases, the group with high app adherence also had better behavior, although without reaching significance for the tendency (P>.05).

Conclusions

The participants with strongest app adherence showed better outcomes in terms of maintenance of healthy lifestyles at 12 months than those with weaker adherence. Overall, however, we found no differences between intervention group and counseling-only group in PA increase and adherence to the Mediterranean diet in the long term.

Trial Registration

Clinicaltrials.gov NCT02016014; https://clinicaltrials.gov/ct2/show/NCT02016014 (Archived by WebCite at http://www.webcitation.org/6ymEXH6W4)

How Mobile App Design Impacts User Responses to Mixed Self-Tracking Outcomes: Randomized Online Experiment to Explore the Role of Spatial Distance for Hedonic Editing

Background

Goal setting is among the most common behavioral change techniques employed in contemporary self-tracking apps. For these techniques to be effective, it is relevant to understand how the visual presentation of goal-related outcomes employed in the app design affects users’ responses to their self-tracking outcomes.

Objective

This study examined whether a spatially close (vs distant) presentation of mixed positive and negative self-tracking outcomes from multiple domains (ie, activity, diet) on a digital device’s screen can provide users the opportunity to hedonically edit their self-tracking outcome profile (ie, to view their mixed self-tracking outcomes in the most positive light). Further, this study examined how the opportunity to hedonically edit one’s self-tracking outcome profile relates to users’ future health behavior intentions.

Methods

To assess users’ responses to a spatially close (vs distant) presentation of a mixed-gain (vs mixed-loss) self-tracking outcome profile, a randomized 2×2 between-subjects online experiment with a final sample of 397 participants (mean age 27.4, SD 7.2 years; 71.5%, 284/397 female) was conducted in Germany. The experiment started with a cover story about a fictitious self-tracking app. Thereafter, participants saw one of four manipulated self-tracking outcome profiles. Variables of interest measured were health behavior intentions, compensatory health beliefs, health motivation, and recall of the outcome profile. We analyzed data using chi-square tests (SPSS version 23) and moderated mediation analyses with the PROCESS macro 2.16.1.

Results

Spatial distance facilitated hedonic editing, which was indicated by systematic memory biases in users’ recall of positive and negative self-tracking outcomes. In the case of a mixed-gain outcome profile, a spatially close (vs distant) presentation tended to increase the underestimation of the negative outcome (P=.06). In the case of a mixed-loss outcome profile, a spatially distant (vs close) presentation facilitated the exact recognition of the positive outcome (P=.04). When the presentation of self-tracking outcomes provided the opportunity for hedonic editing, users with a low (vs high) health motivation produced compensatory health beliefs, which led to lower health behavior intentions (index of moderated mediation=0.0352, 95% CI 0.0011-0.0923).

Conclusions

When spatial distance between the presentations of mixed self-tracking outcomes provided the opportunity to hedonically edit one’s self-tracking outcome profile, users recalled their self-tracking outcomes in a more positive light. Especially for users with lower health motivation, the opportunity to hedonically edit one’s mixed self-tracking outcome profile led to reduced health behavior intentions. To prevent the occurrence of hedonic editing in users’ responses to visually presented self-tracking outcome profiles, further research is necessary to determine the ideal distance that should be employed in the app design for the presentation of mixed self-tracking outcomes on a digital device’s screen.

Consumer Mobile Health Apps: Current State, Barriers, and Future Directions

This paper discusses the current state, barriers, and future directions of consumer-facing applications (apps). There are currently more than 165,000 mobile health apps publicly available in major app stores, the vast majority of which are designed for patients. The top 2 categories are wellness management and disease management apps, whereas other categories include self-diagnosis, medication reminder, and electronic patient portal apps. Apps specific to physical medicine and rehabilitation also are reviewed. These apps have the potential to provide low-cost, around-the-clock access to high-quality, evidence-based health information to end users on a global scale. However, they have not yet lived up to their potential due to multiple barriers, including lack of regulatory oversight, limited evidence-based literature, and concerns of privacy and security. The future directions may consist of improving data integration into the health care system, an interoperable app platform allowing access to electronic health record data, cloud-based personal health record across health care networks, and increasing app prescription by health care providers. For consumer mobile health apps to fully contribute value to health care delivery and chronic disease management, all stakeholders within the ecosystem must collaborate to overcome the significant barriers.

Prediction of dyslipidemia using gene mutations, family history of diseases and anthropometric indicators in children and adolescents: The CASPIAN-III study

Dyslipidemia, the disorder of lipoprotein metabolism resulting in high lipid profile, is an important modifiable risk factor for coronary heart diseases. It is associated with more than four million worldwide deaths per year. Half of the children with dyslipidemia have hyperlipidemia during adulthood, and its prediction and screening are thus critical. We designed a new dyslipidemia diagnosis system. The sample size of 725 subjects (age 14.66 ± 2.61 years; 48% male; dyslipidemia prevalence of 42%) was selected by multistage random cluster sampling in Iran. Single nucleotide polymorphisms (rs1801177, rs708272, rs320, rs328, rs2066718, rs2230808, rs5880, rs5128, rs2893157, rs662799, and Apolipoprotein-E2/E3/E4), and anthropometric, life-style attributes, and family history of diseases were analyzed. A framework for classifying mixed-type data in imbalanced datasets was proposed. It included internal feature mapping and selection, re-sampling, optimized group method of data handling using convex and stochastic optimizations, a new cost function for imbalanced data and an internal validation. Its performance was assessed using hold-out and 4-foldcross-validation. Four other classifiers namely as supported vector machines, decision tree, and multilayer perceptron neural network and multiple logistic regression were also used. The average sensitivity, specificity, precision and accuracy of the proposed system were 93%, 94%, 94% and 92%, respectively in cross validation. It significantly outperformed the other classifiers and also showed excellent agreement and high correlation with the gold standard. A non-invasive economical version of the algorithm was also implemented suitable for low- and middle-income countries. It is thus a promising new tool for the prediction of dyslipidemia.

Causal Analysis of Self-tracked Time Series Data Using a Counterfactual Framework for N-of-1 Trials

Many of an individual's historically recorded personal measurements vary over time, thereby forming a time series (e.g., wearable-device data, self-tracked fitness or nutrition measurements, regularly monitored clinical events or chronic conditions). Statistical analyses of such n-of-1 (i.e., single-subject) observational studies (N1OSs) can be used to discover possible cause-effect relationships to then self-test in an n-of-1 randomized trial (N1RT). However, a principled way of determining how and when to interpret an N1OS association as a causal effect (e.g., as if randomization had occurred) is needed.Our goal in this paper is to help bridge the methodological gap between risk-factor discovery and N1RT testing by introducing a basic counterfactual framework for N1OS design and personalized causal analysis.We introduce and characterize what we call the average period treatment effect (APTE), i.e., the estimand of interest in an N1RT, and build an analytical framework around it that can accommodate autocorrelation and time trends in the outcome, effect carryover from previous treatment periods, and slow onset or decay of the effect. The APTE is loosely defined as a contrast (e.g., difference, ratio) of averages of potential outcomes the individual can theoretically experience under different treatment levels during a given treatment period. To illustrate the utility of our framework for APTE discovery and estimation, two common causal inference methods are specified within the N1OS context. We then apply the framework and methods to search for estimable and interpretable APTEs using six years of the author's self-tracked weight and exercise data, and report both the preliminary findings and the challenges we faced in conducting N1OS causal discovery.Causal analysis of an individual's time series data can be facilitated by an N1RT counterfactual framework. However, for inference to be valid, the veracity of certain key assumptions must be assessed critically, and the hypothesized causal models must be interpretable and meaningful.

European Society of Cardiology smartphone and tablet applications for patients with atrial fibrillation and their health care providers

We are in the midst of a digital revolution in health care, although the application of new and useful technology in routine clinical practice is variable. The Characterizing Atrial fibrillation by Translating its Causes into Health Modifiers in the Elderly (CATCH ME) Consortium, in collaboration with the European Society of Cardiology (ESC), has funded the creation of two applications (apps) in atrial fibrillation (AF) for use in smartphones and tablets. The patient app aims to enhance patient education, improve communication between patients and health care professionals, and encourage active patient involvement in the management of their condition. The health care professional app is designed as an interactive management tool incorporating the new ESC Practice Guidelines on AF and supported by the European Heart Rhythm Association (EHRA), with the aim of improving best practice approaches for the care of patients with AF. Both stand-alone apps are now freely available for Android and iOS devices though the Google Play, Amazon, and Apple stores. In this article, we outline the rationale for the design and implementation of these apps. Our objective is to demonstrate the value of integrating novel digital technology into clinical practice, with the potential for patient engagement, optimization of pharmacological and interventional therapy in AF, and ultimately to improve patient outcomes.

Does evidence support the use of mobile phone apps as a driver for promoting healthy lifestyles from a public health perspective? A systematic review of Randomized Control Trials

OBJECTIVE

The aim of this systematic review was to find a scientific evidence on the efficacy of apps in promoting healthy lifestyles.

METHODS

The research was carried out according to PRISMA Statement. Pubmed, Embase and Google Scholar searches were carried out up to September 2016 focusing on randomized control trials (RCTs).

RESULTS

Forty RCTs were selected. Most of the studies targeted weight management, PA and healthy eating (N=35). A few RCTs focused on apps designed to sun protection, smoking cessation and alcohol consumption (N=5). Only 10 RCTs (25%) found statistical difference between intervention and control groups for all the outcomes measured. Most of the studies had a short follow-up (65%, less than 6 months) and half of them a very small sample size (fewer than 100 subjects).

CONCLUSION

Overall, the evidence so far showed a modest efficacy of apps in health promotion.

PRACTICE IMPLICATIONS

There is a need to improve the overall quality of intervention studies focused on mobile apps in order to understand if they could became a valuable tool in support of health professionals and their efforts to promote education and health.