Effectiveness of a web- and mobile phone-based intervention to promote physical activity and healthy eating in middle-aged males: randomized controlled trial of the ManUp study

Using e-technologies in clinical trials

Clinical trials have been slow to incorporate e-technology (digital and electronic technology that utilizes mobile devices or the Internet) into the design and execution of studies. In the meantime, individuals and corporations are relying more on electronic platforms and most have incorporated such technology into their daily lives. This paper provides a general overview of the use of e-technologies in clinical trials research, specifically within the last decade, marked by rapid growth of mobile and Internet-based tools. Benefits of and challenges to the use of e-technologies in data collection, recruitment and retention, delivery of interventions, and dissemination are provided, as well as a description of the current status of regulatory oversight of e-technologies in clinical trials research. As an example of ways in which e-technologies can be used for intervention delivery, a summary of e-technologies for treatment of substance use disorders is presented. Using e-technologies to design and implement clinical trials has the potential to reach a wide audience, making trials more efficient while also reducing costs; however, researchers should be cautious when adopting these tools given the many challenges in using new technologies, as well as threats to participant privacy/confidentiality. Challenges of using e-technologies can be overcome with careful planning, useful partnerships, and forethought. The role of web- and smartphone-based applications is expanding, and the increasing use of those platforms by scientists and the public alike make them tools that cannot be ignored.

Mobile Health Initiatives to Improve Outcomes in Primary Prevention of Cardiovascular Disease

OPINION STATEMENT

Cardiovascular disease affects more than a third of American adults and is the leading cause of mortality in the USA. Over the last 40 years, several behavioral and medical risk factors have been recognized as major contributors to cardiovascular disease. Effective management of many of these risk factors, particularly behavioral risk factors, remains challenging. With the growth of mobile health (mHealth) technology, a variety of novel strategies are now available to facilitate the delivery of interventions directed at reducing these risk factors. In this review, we discuss recent clinical studies and technologic innovations leveraging smartphone devices, social media, and wearable health tracking devices to facilitate behavioral interventions directed at three important and highly prevalent behavioral risk factors for cardiovascular disease: smoking, physical inactivity, and sub-optimal nutrition. We believe this technology has significant potential to provide low-cost, scalable, and individualized tools to improve management of these important cardiovascular disease risk factors.

Mobile technology boosts the effectiveness of psychotherapy and behavioral interventions: a meta-analysis

We conducted a meta-analysis on the effects of mobile technology on treatment outcome for psychotherapy and other behavioral interventions. Our search of the literature resulted in 26 empirical articles describing 25 clinical trials testing the benefits of smartphone applications, personal digital assistants (PDAs), or text messaging systems either to supplement treatment or substitute for direct contact with a clinician. Overall, mobile technology use was associated with superior treatment outcome across all study designs and control conditions, effect size (ES) = .34, p < .0001. For the subset of 10 studies that looked specifically at the added benefit of mobile technology using a rigorous "Treatment" versus "Treatment + Mobile" design, effect sizes were only slightly more modest (ES = .27) and still significant (p < .05). Overall, the results support the role of mobile technology for the delivery of psychotherapy and other behavioral interventions.

Examining an Australian physical activity and nutrition intervention using RE-AIM

Translating evidence-based interventions into community practice is vital to health promotion. This study used the RE-AIM framework to evaluate the larger dissemination of the ManUp intervention, an intervention which utilized interactive web-based technologies to improve the physical activity and nutrition behaviors of residents in Central Queensland, Australia. Data were collected for each RE-AIM measure (Reach, Effectiveness, Adoption, Implementation, Maintenance) using (i) computer-assisted telephone interview survey (N = 312) with adults (18 years and over) from Central Queensland, (ii) interviews with key stakeholders from local organizations (n = 12) and (iii) examination of project-related statistics and findings. In terms of Reach, 47% of participants were aware of the intervention; Effectiveness, there were no significant differences between physical activity and healthy nutrition levels in those aware and unaware; Adoption, 73 participants registered for the intervention and 25% of organizations adopted some part of the intervention; Implementation, 26% of participants initially logged onto the website, 29 and 17% started the web-based physical activity and nutrition challenges, 33% of organizations implemented the intervention, 42% considered implementation and 25% reported difficulties; Maintenance, an average of 0.57 logins and 1.35 entries per week during the 12 week dissemination and 0.27 logins and 0.63 entries per week during the 9-month follow-up were achieved, 22 and 0% of participants completed the web-based physical activity and nutrition challenges and 33.3% of organizations intended to continue utilizing components of the intervention. While this intervention demonstrated good reach, effectiveness, adoption and implementation warrant further investigation.

Smartphone Applications for Promoting Healthy Diet and Nutrition: A Literature Review

BACKGROUND

Rapid developments in technology have encouraged the use of smartphones in health promotion research and practice. Although many applications (apps) relating to diet and nutrition are available from major smartphone platforms, relatively few have been tested in research studies in order to determine their effectiveness in promoting health.

METHODS

In this article, we summarize data on the use of smartphone applications for promoting healthy diet and nutrition based upon bibliographic searches in PubMed and CINAHL with relevant search terms pertaining to diet, nutrition, and weight loss through August 2015.

RESULTS

A total of 193 articles were identified in the bibliographic searches. By screening abstracts or full-text articles, a total of three relevant qualitative studies and 9 randomized controlled trials were identified. In qualitative studies, participants preferred applications that were quick and easy to administer, and those that increase awareness of food intake and weight management. In randomized trials, the use of smartphone apps was associated with better dietary compliance for lower calorie, low fat, and high fiber foods, and higher physical activity levels (p=0.01-0.02) which resulted in more weight loss (p=0.042-<0.0001).

DISCUSSION

Future studies should utilize randomized controlled trial research designs, larger sample sizes, and longer study periods to better establish the diet and nutrition intervention capabilities of smartphones. There is a need for culturally appropriate, tailored health messages to increase knowledge and awareness of health behaviors such as healthy eating. Smartphone apps are likely to be a useful and low-cost intervention for improving diet and nutrition and addressing obesity in the general population. Participants prefer applications that are quick and easy to administer and those that increase awareness of food intake and weight management.