Systematic literature review of Internet interventions across health behaviors

Digital health interventions to improve eating behaviour of people with a lower socioeconomic position: a scoping review of behaviour change techniques

Specific approaches are needed to reach and support people with a lower socioeconomic position (SEP) to achieve healthier eating behaviours. There is a growing body of evidence suggesting that digital health tools exhibit potential to address these needs because of its specific features that enable application of various behaviour change techniques (BCTs). The aim of this scoping review is to identify the BCTs that are used in diet-related digital interventions targeted at people with a low SEP, and which of these BCTs coincide with improved eating behaviour. The systematic search was performed in 3 databases, using terms related to e/m-health, diet quality and socioeconomic position. A total of 17 full text papers were included. The average number of BCTs per intervention was 6.9 (ranged 3-15). BCTs from the cluster 'Goals and planning' were applied most often (25x), followed by the clusters 'Shaping knowledge' (18x) and 'Natural consequences' (18x). Other frequently applied BCT clusters were 'Feedback and monitoring' (15x) and 'Comparison of behaviour' (13x). Whereas some BCTs were frequently applied, such as goal setting, others were rarely used, such as social support. Most studies (n = 13) observed a positive effect of the intervention on eating behaviour (e.g. having breakfast) in the low SEP group, but this was not clearly associated with the number or type of applied BCTs. In conclusion, more intervention studies focused on people with a low SEP are needed to draw firm conclusions as to which BCTs are effective in improving their diet quality. Also, further research should investigate combinations of BCTs, the intervention design and context, and the use of multicomponent approaches. We encourage intervention developers and researchers to describe interventions more thoroughly, following the systematics of a behaviour change taxonomy, and to select BCTs knowingly.

Assessing the effectiveness of a 4-week online intervention on food literacy and fruit and vegetable consumption in Australian adults: The online MedDiet challenge

Australians fail to meet the daily recommended two and five serves of fruit and vegetable respectively, which increases mortality risk for non-communicable diseases such as cardiovascular disease and type 2 diabetes. This study aimed to evaluate the effectiveness of an online intervention delivered through social media on food literacy and fruit and vegetable consumption in Australian adults. In a pre-post single group experimental study, 29 participants completed the "online MedDiet challenge", a four-week intervention delivered via Facebook. Infographics, recipes and informational videos aligned with food literacy concepts related to the Mediterranean Diet were shared with participants. Outcome measures included a validated food literacy questionnaire with two questions from the National Nutrition Survey to record fruit and vegetable consumption. The mean age of participants was 52 years (range: 25-67 years). Post intervention, food literacy improved between 21%-45% across each survey component. Participants also reported an increase in fruit and vegetable consumption by 0.6 and 1.3 serves per day (p < 0.05) respectively. Social media holds potential for increasing fruit and vegetable consumption in adults through food literacy. Future research should focus on longer studies and larger cohorts to confirm that food literacy plays a key component to maintain sustainability of such interventions.

Promoting fruit and vegetable consumption during the COVID-19 pandemic - SportStudisMoveYou (SSMY): A randomized controlled trial

Background

The stay-at-home circumstances due to the global coronavirus pandemic have had some negative impacts on people's eating behavior.

Purpose

Therefore, this study attempted to improve fruit and vegetable (FV) consumption intention and behavior through an online video intervention based on the social cognitive theory.

Methods

Participants were recruited with a promotion video posted on social media channels. After consenting and completing a pre-survey, participants were randomly assigned to either a) the intervention group addressing FV consumption or the b) attention control group addressing physical activity. After two weeks, the participants completed an online post-survey.

Results

The participants (N = 82) were 77% female and 50% students; 95% chose German for the survey language, and 84% were from Switzerland. The mean baseline FV consumption intention was 3.05 (standard deviation: 1.03), and FV consumption was 4.64 (standard deviation: 2.06) portions a day. The analysis showed no significant change in FV consumption intention (F = (1, 78) = 0.02, p = 0.88, ηp² = 0.00) or behavior (F = (1, 78) = 0.019, p = 0.89, ηp² = 0.03) due to the intervention.

Conclusions

Plausible reasons why no significant effect was found were the brief intervention duration, the setting and insufficient tailoring. The lessons learned from this study are to plan better, tailor more to the needs of participants and carefully consider the goals before promoting an intervention.

Feasibility and Acceptability of an Internet-Based Intervention for Young Adults with ADHD

Internet-based interventions (IBIs) to treat psychological disorders are available, but accessibility to these to treat attention-deficit/hyperactivity disorder (ADHD) in young adult populations is quite limited. The current study examined the feasibility of a proposed IBI for ADHD and participant perceptions regarding treatment acceptability and credibility, and outcome expectancy. Participants (N = 235; aged 18-35) with a prior ADHD diagnosis were recruited through Amazon's Mechanical Turk (MTurk) and were provided with a proposed IBI and explanatory outlines of treatment module content. Participants in the cross-sectional study were randomly assigned to either a tailored (i.e., targeted content modules), minimal (i.e., presented overall fewer and non-targeted modules), or full (i.e., all possible modules) condition. Results demonstrated moderate IBI acceptability among participants in the tailored and full conditions. The majority of participants preferred IBI over face-to-face (F2F) treatment, and most individuals who preferred F2F treatment also considered an IBI to be an acceptable treatment modality. Lack of significant mean differences between the tailored and full conditions on several of the main outcomes of interest (e.g., perceptions of acceptability) suggests that implementation of either method of treatment could prove effective. Differences based on treatment length and relevance, and biological sex were also explored. Implications, limitations, and future directions are discussed.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s41347-022-00256-4.

A theory-based video intervention to enhance communication and engagement in online health communities: two experiments

Background

Online communities and social networking sites have great potential for supporting health behavior change. However, interventions vary greatly in participants’ engagement rates and, consequently, their effectiveness. Theory-based interventions in real-world contexts are needed to further increase engagement and effectiveness.

Methods

We experimentally tested whether a video intervention teaching Self-Determination-Theory-based communication strategies increases need-supportive communication strategy use over one week (Study 1, N = 76) and perceived need support, engagement, and goal attainment in a behavior change intervention supported by a forum-based online community (Study 2, N = 537). In Study 2, participants chose a goal (increasing either fruit or vegetable consumption or increasing moderate or vigorous physical activity) and joined an online community for 2 weeks. Data from both experiments were analyzed with mixed models and follow-up tests.

Results

In Study 1, participants in the intervention but not in the control group showed an increase in the number of need-supportive communication strategies used both immediately and one week after the intervention (condition × time interaction, partial η² = 0.31). In Study 2, participants who watched the intervention video had a higher number of postings and reported a higher subjective forum use frequency (but not a higher number of logins) compared to participants who watched the control video. However, the effect on the subjective forum visit frequency was not robust. There were no intervention effects on perceived need support, goal attainment, or secondary outcomes. The results might be explained by low application of need-supportive communication strategies.

Conclusion

A brief video intervention may be a suitable, low-cost intervention to promote need-supportive communication strategy use, benefitting both engagement and behavior change. Future studies should incorporate additional means to further improve communication strategy uptake and engagement in online communities.

The biopsychosociotechnical model: a systems-based framework for human-centered health improvement

The biopsychosocial model is among the most influential frameworks for human-centered health improvement but has faced significant criticism- both conceptual and pragmatic. This paper extends and fundamentally re-structures the biopsychosocial model by combining it with sociotechnical systems theory. The resulting biopsychosociotechnical model addresses key critiques of the biopsychosocial model, providing a more "practical theory" for human-centered health improvement. It depicts the determinants of health as complex adaptive system of systems; includes the the artificial world (technology); and provides a roadmap for systems improvement by: differentiating between "health status" and "health and needs assessment", [promoting problem framing]; explaining health as an emergent property of the biopsychosociotechnical context [imposing a systems orientation]; focusing on "interventions" vs. "treatments" to modify the biopsychosociotechnical determinants of health, [expanding the solution space]; calling for a participatory design process [supporting systems awareness and goal-orientation]; and including intervention management to support the full lifecycle of health improvement.

Keep your distance: Different roles for knowledge and affect in predicting social distancing behavior

The current study examines predictors of social distancing behavior across populations (students and community members) and across time in the early months of the COVID-19 pandemic, focusing on two factors commonly associated with risk perception and prevention: knowledge and affect. Results showed that, despite similar levels of social distancing, student distancing was predicted only by feelings of threat about COVID-19, whereas community distancing was predicted by both feeling informed and threatened. Examining longitudinal effects, which were limited to students only, students became more informed about COVID-19 over time, and increases in being informed (but not feeling threatened) predicted more distancing.

Assessing eHealth literacy among internet users in Lebanon: A cross-sectional study

Objective

Assessing the level of eHealth literacy in a population is essential to designing appropriate public health interventions. This study aimed to assess eHealth literacy among adult internet users in Lebanon, recruited through social media and printed materials. The study examined the relationship between internet use, perceived eHealth literacy, and sociodemographic characteristics.

Methods

A cross-sectional study based on a web-based questionnaire was conducted between January and May 2020. The survey assessed internet use and eHealth literacy using the homonymous scale (eHEALS) in English and Arabic. Cronbach's alpha and factor analyses were used to evaluate eHEALS’ psychometric properties. A generalized linear model was used to identify factors predicting the eHEALS.

Results

A total of 2715 respondents were recruited mostly through Facebook (78%) and printed materials (17%). Most respondents completed the survey in English (82%), were aged 30 ± 11 years, female (60%), Lebanese (84%), unmarried (62%), employed (54%), and with a graduate-level education (53%). Those who completed the eHEALS questionnaire (n = 2336) had a moderate eHealth literacy (M = 28.7, SD = 5.5). eHEALS was significantly higher among older females with a high education level, recruited from Facebook, Instagram, or ResearchGate, and perceived the Internet as a useful and important source of information.

Conclusions

Future internet-delivered public health campaigns in Lebanon should account for moderate-to-low levels of eHealth literacy and find ways to engage older males with low education levels representing neglected segments (e.g. Syrians). To be more inclusive, campaigns should reach neglected population segments through non-digital, community-based outreach activities.

Factors Related to Internet Adoption and Its Use to Seek Health Information in Mexico

The Internet has the potential to be a valuable resource for the dissemination of health promotion information to the general population, mainly in conditions with well-developed health and digital literacy. Few studies have been undertaken on the adoption of the Internet by the Mexican population and its use to seek health information. The aim of this paper was to identify the factors that determine Internet adoption and its use by the heads of Mexican households for obtaining health information. This study used data taken from a probabilistic and cross-sectional national survey (National Survey on the Availability and Use of Information Technologies in Households, or ENDUTIH), applying an economic approach based on utility maximization theory. We estimated a univariate probit model for Internet adoption and a consecutive bivariate probit model with sample selection for the use of the Internet to seek health information. The software package was used to adjust and estimate the proposed models. The first model (Internet adoption) identified several factors related to digital divides in the country, while the second (Internet use to seek health information) identified various factors influencing online searches for health information, such as the following: being a woman; being an adult; having a higher level of education; having a higher income; having superior digital skills; and, living in an urban area. This study highlights the need to strengthen digital policy in order to improve access to and the adoption and efficient use of the Internet, particularly in terms of improving an individual's engagement with their own health.

Efficacy of an m-Health Physical Activity and Sleep Intervention to Improve Sleep Quality in Middle-Aged Adults: The Refresh Study Randomized Controlled Trial

BACKGROUND

Poor sleep health is highly prevalent. Physical activity is known to improve sleep quality but not specifically targeted in sleep interventions.

PURPOSE

To compare the efficacy of a combined physical activity and sleep intervention with a sleep-only intervention and a wait-list control, for improving sleep quality in middle-aged adults without a diagnosed sleep disorder.

METHODS

Three-arm randomized controlled trial (Physical Activity and Sleep Health (PAS), Sleep Health Only (SO), Wait-list Control (CON) groups; 3-month primary time-point, 6-month follow-up) of 275 (PAS = 110, SO = 110, CON = 55) inactive adults (40-65 years) reporting poor sleep quality. The main intervention component was a smartphone/tablet "app" to aid goal setting and self-monitoring physical activity and/or sleep hygiene behaviors (including stress management), and a pedometer for PAS group. Primary outcome was Pittsburgh Sleep Quality Index (PSQI) global score. Secondary outcomes included several self-reported physical activity measures and PSQI subcomponents. Group differences were examined stepwise, first between pooled intervention (PI = PAS + SO) and CON groups, then between PAS and SO groups.

RESULTS

Compared with CON, PI groups significantly improved PSQI global and subcomponents scores at 3 and 6 months. There were no differences in sleep quality between PAS and SO groups. The PAS group reported significantly less daily sitting time at 3 months and was significantly more likely to report ≥2 days/week resistance training and meeting physical activity guidelines at 6 months than the SO group.

CONCLUSIONS

PIs had statistically significantly improved sleep quality among middle-aged adults with poor sleep quality without a diagnosed sleep disorder. The adjunctive physical activity intervention did not additionally improve sleep quality.

CLINICAL TRIAL INFORMATION

Australian New Zealand Clinical Trial Registry: ACTRN12617000680369; Universal Trial number: U1111-1194-2680; Human Research Ethics Committee, Blinded by request of journal: H-2016-0267.

Effectiveness of Digital Interventions for Reducing Behavioral Risks of Cardiovascular Disease in Nonclinical Adult Populations: Systematic Review of Reviews

BACKGROUND

Digital health interventions are increasingly being used as a supplement or replacement for face-to-face services as a part of predictive prevention. They may be offered to those who are at high risk of cardiovascular disease and need to improve their diet, increase physical activity, stop smoking, or reduce alcohol consumption. Despite the popularity of these interventions, there is no overall summary and comparison of the effectiveness of different modes of delivery of a digital intervention to inform policy.

OBJECTIVE

This review aims to summarize the effectiveness of digital interventions in improving behavioral and health outcomes related to physical activity, smoking, alcohol consumption, or diet in nonclinical adult populations and to identify the effectiveness of different modes of delivery of digital interventions.

METHODS

We reviewed articles published in the English language between January 1, 2009, and February 25, 2019, that presented a systematic review with a narrative synthesis or meta-analysis of any study design examining digital intervention effectiveness; data related to adults (≥18 years) in high-income countries; and data on behavioral or health outcomes related to diet, physical activity, smoking, or alcohol, alone or in any combination. Any time frame or comparator was considered eligible. We searched MEDLINE, Embase, PsycINFO, Cochrane Reviews, and gray literature. The AMSTAR-2 tool was used to assess review confidence ratings.

RESULTS

We found 92 reviews from the academic literature (47 with meta-analyses) and 2 gray literature items (1 with a meta-analysis). Digital interventions were typically more effective than no intervention, but the effect sizes were small. Evidence on the effectiveness of digital interventions compared with face-to-face interventions was mixed. Most trials reported that intent-to-treat analysis and attrition rates were often high. Studies with long follow-up periods were scarce. However, we found that digital interventions may be effective for up to 6 months after the end of the intervention but that the effects dissipated by 12 months. There were small positive effects of digital interventions on smoking cessation and alcohol reduction; possible effectiveness in combined diet and physical activity interventions; no effectiveness for interventions targeting physical activity alone, except for when interventions were delivered by mobile phone, which had medium-sized effects; and no effectiveness observed for interventions targeting diet alone. Mobile interventions were particularly effective. Internet-based interventions were generally effective.

CONCLUSIONS

Digital interventions have small positive effects on smoking, alcohol consumption, and in interventions that target a combination of diet and physical activity. Small effects may have been due to the low efficacy of treatment or due to nonadherence. In addition, our ability to make inferences from the literature we reviewed was limited as those interventions were heterogeneous, many reviews had critically low AMSTAR-2 ratings, analysis was typically intent-to-treat, and follow-up times were relatively short.

TRIAL REGISTRATION

PROSPERO International Prospective Register of Systematic Reviews CRD42019126074; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=126074.

Antimicrobial-resistant bacteria in food: which behaviour change strategies increase consumers' risk awareness and preventive food-handling behaviour?

OBJECTIVES

We aimed to identify the potential of behaviour change strategies to effectively increase consumers' risk awareness, behavioural intention, and preventive food-handling behaviour to reduce the transmission risk of antimicrobial-resistant bacteria through food. The applied strategies targeted knowledge and determinants of the health action process approach (HAPA). We tested techniques that are expected to increase knowledge, risk perception, and positive outcome expectancy (Study 1) as well as those that increase planning and coping self-efficacy (Study 2) in two randomised control trials.

METHODS

In Study 1 (N = 328), a 2 × 2 between-subject design was employed to investigate the effects of an educational video about the spread of antimicrobial-resistant bacteria and a personalised risk message on knowledge, risk perception, outcome expectancy and consequently on intention regarding safe food-handling behaviour. In Study 2 (N = 129), we used a 2 × 2 design to examine to what extent goal setting (implemented vs. not implemented) and time (pre- vs. post-test) affected planning, coping self-efficacy, and preventive food-handling behaviour.

RESULTS

In Study 1, we found that the video increased knowledge and the perceived susceptibility of risk compared to the control video. We found no increase on the dependent variables after receiving the personalised risk message. In Study 2, goal setting significantly improved safe food-handling behaviour compared to the control condition. Moreover, participants in the goal-setting condition showed more planning of safe food-handling measures and of dealing with emerging barriers than participants in the control condition.

CONCLUSIONS

These findings demonstrate that the delivery of an educational video on the spread of antimicrobial-resistant bacteria is a useful strategy to increase risk awareness, whereas goal setting presents a promising approach to improve food-handling behaviour. Following the HAPA, an additional effective behaviour change technique is required that decreases negative outcome expectancies and improves coping self-efficacy, thereby further improving intention and behaviour.

Associations Between Digital Health Intervention Engagement, Physical Activity, and Sedentary Behavior: Systematic Review and Meta-analysis

BACKGROUND

The effectiveness of digital health interventions is commonly assumed to be related to the level of user engagement with the digital health intervention, including measures of both digital health intervention use and users' subjective experience. However, little is known about the relationships between the measures of digital health intervention engagement and physical activity or sedentary behavior.

OBJECTIVE

This study aims to describe the direction and strength of the association between engagement with digital health interventions and physical activity or sedentary behavior in adults and explore whether the direction of association of digital health intervention engagement with physical activity or sedentary behavior varies with the type of engagement with the digital health intervention (ie, subjective experience, activities completed, time, and logins).

METHODS

Four databases were searched from inception to December 2019. Grey literature and reference lists of key systematic reviews and journals were also searched. Studies were eligible for inclusion if they examined a quantitative association between a measure of engagement with a digital health intervention targeting physical activity and a measure of physical activity or sedentary behavior in adults (aged ≥18 years). Studies that purposely sampled or recruited individuals on the basis of pre-existing health-related conditions were excluded. In addition, studies were excluded if the individual engaging with the digital health intervention was not the target of the physical activity intervention, the study had a non-digital health intervention component, or the digital health interventions targeted multiple health behaviors. A random effects meta-analysis and direction of association vote counting (for studies not included in meta-analysis) were used to address objective 1. Objective 2 used vote counting on the direction of the association.

RESULTS

Overall, 10,653 unique citations were identified and 375 full texts were reviewed. Of these, 19 studies (26 associations) were included in the review, with no studies reporting a measure of sedentary behavior. A meta-analysis of 11 studies indicated a small statistically significant positive association between digital health engagement (based on all usage measures) and physical activity (0.08, 95% CI 0.01-0.14, SD 0.11). Heterogeneity was high, with 77% of the variation in the point estimates explained by the between-study heterogeneity. Vote counting indicated that the relationship between physical activity and digital health intervention engagement was consistently positive for three measures: subjective experience measures (2 of 3 associations), activities completed (5 of 8 associations), and logins (6 of 10 associations). However, the direction of associations between physical activity and time-based measures of usage (time spent using the intervention) were mixed (2 of 5 associations supported the hypothesis, 2 were inconclusive, and 1 rejected the hypothesis).

CONCLUSIONS

The findings indicate a weak but consistent positive association between engagement with a physical activity digital health intervention and physical activity outcomes. No studies have targeted sedentary behavior outcomes. The findings were consistent across most constructs of engagement; however, the associations were weak.

Communication Technology Use by Caregivers of Adolescents With Mental Health Issues: Systematic Review

Background

Caregivers of adolescents with mental health issues experience challenges that may result in the caregivers having a variety of unmet needs. There is a growing need to support these caregivers. Effective support to strengthen positive caregiving behavior in caregivers may address their challenges. Communication technologies offer novel opportunities to assist these caregivers and may contribute to strengthening caregiver behavior. However, little is known about the use of communication technologies among caregivers of adolescents with mental health issues.

Objective

The study aimed to answer the question: “What is the best evidence available to strengthen positive behavior of caregivers of adolescents with mental health issues using communication technology.”

Methods

A systematic review of articles published between January 2007 and August 2018 was conducted. Searches included articles of multiple study designs from EBSCO Host and Scopus platforms with prespecified eligibility criteria. Methodological quality was evaluated using the applicable Critical Appraisal Skills Programme and Joanna Briggs Institute assessment tools.

Results

The search yielded 1746 articles. Altogether, 5 articles met the eligibility criteria and were included in the review for data synthesis. Data analysis and synthesis identified three thematic conclusions reflecting the types of communication technologies used, caregivers as the target population, and strengthening of positive behavior through determinants of the Integrated Model of Behavior Prediction.

Conclusions

The review reported the usefulness of communication technology by caregivers. Caregivers also demonstrated improvement in self-efficacy, knowledge, parent-child communication, and parental skills reflecting positive behavior. Although the use of communication technology is expanding as a supportive intervention to address caregivers’ needs, the evidence for usefulness among caregivers of adolescents with mental health issues is still scarce. More research and information related to preferred methods of communication delivery among caregivers of adolescents is still needed.

Teamwork for smoking cessation: which smoker was willing to engage their partner? Results from a cross-sectional study

Objective

Smokers are greatly influenced by those living with them, but strategies that increase partner support for smoking cessation are lacking. Using a cross-sectional study design, we explored factors associated with willingness to engage a partner in smoking cessation in smokers registered on a web-assisted tobacco intervention trial.

Results

Study participants (n = 983) were recruited between July 2018 and March 2019. About 28% of smokers were willing to engage their partner in cessation efforts. The odds of willingness to engage a partner were more than two-fold for smokers reporting presence of other smokers in the immediate family (adjusted odds ratio (aOR): 2.18; 95% confidence interval (CI) 1.51–3.15 for 1–3 smokers; aOR, 3.12; 95% CI 1.95–4.98 for ≥ 4 smokers) compared to those with no smokers in the immediate family. Women had lower odds of willingness to engage (aOR; 0.82; 95% CI 0.58–1.16) than men, but this was not statistically significant. Use of e-cigarettes and visitation to a smoking cessation website prior to the intervention were both positively associated with willingness to engage partners in cessation. Future research should assess whether interventions tailored to smokers willing to engage partners or spouses could increase effectiveness of partner support during cessation.

The Process of Developing a Sleep Health Improvement Plan: a Lab-Based Model of Self-Help Behavior

BACKGROUND

Although self-help strategies to improve sleep are widely accessible, little is known about the ways in which individuals interact with these resources and the extent to which people are successful at improving their own sleep based on sleep health recommendations. The present study developed a lab-based model of self-help behavior by observing the development of sleep health improvement plans (SHIPs) and examining factors that may influence SHIP development.

METHOD

Sixty healthy, young adults were identified as poor sleepers during one week of actigraphy baseline and recruited to develop and implement a SHIP. Participants viewed a list of sleep health recommendations through an eye tracker and provided information on their current sleep health habits. Each participant implemented their SHIP for 1 week during which sleep was assessed with actigraphy.

RESULTS

Current sleep health habits, but not patterns of visual attention, predicted SHIP goal selection. Sleep duration increased significantly during the week of SHIP implementation.

CONCLUSIONS

Findings indicate that the SHIP protocol is an effective strategy for observing self-help behavior and examining factors that influence goal selection. The increase in sleep duration suggests that individuals may be successful at extending their own sleep, though causal mechanisms have not yet been established. This study presents a lab-based protocol for studying self-help sleep improvement behavior and takes an initial step toward gaining knowledge required to improve sleep health recommendations.

Effects of a Web-Based, Evolutionary Mismatch-Framed Intervention Targeting Physical Activity and Diet: a Randomised Controlled Trial

BACKGROUND

This study sought to test the effectiveness of a 12-week, novel online intervention (Evolife) aiming to increase physical activity level (PAL) and reduce energy intake (EI) among overweight/obese adults. The intervention used an evolutionary mismatch message to frame health information in an engaging way, incorporating evidence-based behaviour change techniques to promote autonomous motivation, self-efficacy and self-regulatory skills.

METHOD

Men and women aged 35-74 years with a BMI of 25-40 kg/m² were eligible. Participants were randomised to receive either the intervention (comprising a face-to-face introductory session, 12 weeks' access to the Evolife website and a pedometer) or a control condition (face-to-face introductory session and NHS online health resources). PAL was measured objectively and EI was self-reported using 3-day weighed food records. Secondary measures included BMI, waist circumference and blood pressure.

RESULTS

Sixty people met inclusion criteria; 59 (30 intervention) completed the trial (mean age = 50; 56% male). Differences between groups' change scores for PAL and EI were of small effect size but did not reach significance (d = 0.32 and d = - 0.49, respectively). Improvements were found in both groups for PAL (int: d = 0.33; control: d = 0.04), EI (int: d = - 0.81; control: d = - 0.16), waist circumference (int: d = - 0.30; control: d = - 0.17) and systolic blood pressure (int: d = - 0.67; control: d = - 0.28).

CONCLUSION

The intervention did not lead to significantly greater improvement in PAL or reduction in EI than a minimal intervention control, although the changes in the intervention group were of meaningful effect size and comparable with positive outcomes in larger intervention trials.

TRIAL REGISTRATION

This trail was registered on www.clinicaltrials.gov on 16 January 2017 (appeared online 26 January 2017), reference NCT03032731.

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.

Promoting cardiovascular health and wellness among African-Americans: Community participatory approach to design an innovative mobile-health intervention

Background

Despite improvements in mortality rates over the past several decades, cardiovascular (CV) disease remains the leading cause of death for African-Americans (AAs). Innovative approaches through mobile health (mHealth) interventions have the potential to support lifestyle change for CV disease prevention among AAs. We aimed to translate a behavioral theory–informed, evidence-based, face-to-face health education program into an mHealth lifestyle intervention for AAs. We describe the design and development of a culturally relevant, CV health and wellness digital application (app) and pilot testing using a community-based participatory research (CBPR) approach with AA churches.

Methods

This mixed methods study used a 4-phase iterative development process for intervention design with the AA community. Phase 1 included focus groups with AA community members and church partners (n = 23) to gain insight regarding potential app end user preferences. In Phase 2, the interdisciplinary research team synthesized Phase 1 input for preliminary app design and content development. Phase 3 consisted of a sequential 3-meeting series with church partners (n = 13) for iterative app prototyping (assessment, cultural tailoring, final review). Phase 4, a single group pilot study among AA church congregants (n = 50), assessed app acceptability, usability, and satisfaction.

Results

Phase 1 focus groups indicated general and health-related apps preferences: multifunctional, high-quality graphics/visuals, evidence-based, yet simple health information and social networking capability. Phase 2 integrated these preferences into the preliminary app prototype. Phase 3 feedback was used to refine the app prototype for pilot testing. Phase 4 pilot testing indicated high app acceptability, usability, and satisfaction.

Conclusions

This study illustrates integration of formative and CBPR approaches to design a culturally relevant, mHealth lifestyle intervention to address CV health disparities among AAs. Given the positive app perceptions, our study supports the use of an iterative development process by others interested in implementing an mHealth lifestyle intervention for racial/ethnic minority communities.

Trial registration

Clinicaltrials.gov NCT03084822.

Supporting Engagement, Adherence, and Behavior Change in Online Dietary Interventions

INTRODUCTION

Poor diet is a leading cause of death and disease globally. This epidemic requires effective and accessible interventions to stop the increasing number of diet-related deaths and the health and economic impacts of diet-related disease. Online interventions provide flexibility and accessibility. With the ubiquitous use of smartphones, they can be intertwined with daily activities such as shopping and eating. The aim of this review is to determine what features and behavior change techniques employed in online dietary interventions for adult populations promoting dietary behavior change.

METHODS

The researchers conducted a systematic search of Cumulative Index of Nursing and Allied Health, Cochrane Library, Global Health, MEDLINE, PsychINFO, and psychological and behavioral sciences electronic bibliography databases, and specialist electronic health (e-health) journals from database inception to January, 2018. Studies were included if they were randomized controlled trials of online dietary interventions with active comparator conditions in adult populations, and with reported dietary change measures. A quality score was applied to each study calculated by a developed scoring system. The review analyzed intervention dietary change measures, attrition (nonuse and dropout), engagement (metrics and intensity of use), adherence (defined as compliance to the treatment protocol), behavior change techniques employed to achieve dietary change, and techniques employed in successful (those who achieved significant results in the targeted dietary behavior) vs unsuccessful interventions as reported by the studies.

RESULTS

A total of 21 studies composed of a total of 7,455 adults and reporting on 19 different e-health interventions were included from 1,237 records. These studies targeted dietary change as measured by reduced energy intake (5) or changes in specific dietary components (15) and overall diet quality (4). Dietary change was a behavior target in general healthy populations (12) and for managing diseases such as obesity and cardiovascular disease (7), or for improving quality of life for those with chronic conditions (1). Improvements in dietary behavior were seen in 14 of the 19 interventions reported.

DISCUSSION

The results suggest that online interventions can be successful in achieving dietary behavior change across a range of defined populations. However, disparate reporting of engagement and limited reporting of nonuse attrition rates limited the analysis of which behavior change techniques were most effective in achieving this change.

IMPLICATIONS FOR RESEARCH AND PRACTICE

The results of this review support the potential of online and smartphone dietary interventions as a method to achieve change in diet in defined populations. However, further work needs to be done in examining how users engage with interventions, and thus which behavior change techniques are most effective.

Effect of an eHealth Intervention to Reduce Sickness Absence Frequency Among Employees With Frequent Sickness Absence: Randomized Controlled Trial

Background

Frequent sickness absence—that is, 3 or more episodes of sickness absence in 1 year—is a problem for employers and employees. Many employees who have had frequent sickness absence in a prior year also have frequent sickness absence in subsequent years: 39% in the first follow-up year and 61% within 4 years. Moreover, 19% have long-term sickness absence (≥6 weeks) in the first follow-up year and 50% within 4 years. We developed an electronic health (eHealth) intervention, consisting of fully automated feedback and advice, to use either as a stand-alone tool (eHealth intervention–only) or combined with consultation with an occupational physician (eHealth intervention–occupational physician).

Objective

This study aimed to evaluate the effect of the eHealth intervention, with or without additional occupational physician consultation, to reduce sickness absence frequency for employees with frequent sickness absence, versus care as usual (CAU).

Methods

This study was a three-armed randomized controlled trial. Employees with frequent sickness absence received invitational letters, which were distributed by their employers. The primary outcome measure was the number of register-based sickness absence episodes 12 months after completing the baseline questionnaire. Secondary outcome measures were register-based total sickness absence days and self-assessed burnout, engagement, and work ability. In a process evaluation 3 months after baseline, we examined adherence to the intervention and additional actions such as general practitioner and occupational physician visit, communication with the manager, and lifestyle change.

Results

A total of 82 participants were included in the analyses, 21 in the eHealth intervention–only group, 31 in the eHealth intervention–occupational physician group, and 30 in the CAU group. We found no significant difference in sickness absence frequency between the groups at 1-year follow-up. Sickness absence frequency decreased in the eHealth intervention–only group from 3 (interquartile range, IQR 3-4) to 1 episode (IQR 0.3-2.8), in the eHealth intervention–occupational physician group from 4 (IQR 3-5) to 3 episodes (IQR 1-4), and in the CAU group from 3 (IQR 3-4) to 2 episodes (IQR 1-3). For secondary outcomes, we found no significant differences between the intervention groups and the control group. The process evaluation showed that only 3 participants from the eHealth intervention–occupational physician group visited the occupational physician on invitation.

Conclusions

Among employees with frequent sickness absence, we found no effect from the eHealth intervention as a stand-alone tool in reducing sickness absence frequency, nor on total sickness absence days, burnout, engagement, or work ability. This might be due to low adherence to the intervention because of insufficient urgency to act. We cannot draw any conclusion on the effect of the eHealth intervention tool combined with an occupational physician consultation (eHealth intervention–occupational physician), due to very low adherence to the occupational physician consultation. An occupational physician consultation could increase a sense of urgency and lead to more focus and appropriate support. As this was the first effectiveness study among employees with frequent sickness absence, strategies to improve recruitment and adherence in occupational eHealth are included.

Trial Registration

Netherlands Trial Register NTR4316; http://www.trialregister.nl/trialreg/admin/rctview.asp?TC=4316 (Archived by WebCite at http://www.webcitation.org/713DHhOFU).

Working alliance with an avatar: How far can we go with internet interventions?

OBJECTIVE

To examine the working alliance between users and an avatar and users' treatment expectations in an unguided Internet intervention for the treatment of insomnia.

METHODS

The sample included participants from the treatment condition (N = 29) of a randomised controlled trial. The task and goal subscales of the Working Alliance Inventory Short Revised (WAI-SR) were applied in week three. Five items of the Bern Post-Session Report and one question about the extent to which users had missed a human therapist were administered after each session. Treatment expectations were measured with the Credibility Expectancy Questionnaire (CEQ), and the Insomnia Severity Index (ISI) was used as the primary outcome measure.

RESULTS

The mean scores for the WAI-SR task and goal subscales were relatively high (M = 3.24, SD = 0.79; M = 3.16, SD = 0.91, respectively). The mean score of the five Bern Post-Session Report items remained stable over time, but some users increasingly indicated that they missed a real therapist over the course of the intervention, with a strong linear effect (t(87) = 3.16, p < 0.01). ISI chance score was predicted by the mean score of the Bern Post-Session Report (b = -0.3.83, t(21.80) = -2.97, p < 0.01), missing a human therapist (b = -0.0.13, t(20.47) = -2.72, p = 0.01) and the CEQ (b = 0.18, t(19.03) = -2.69, p = 0.01), but not by WAI-SR task and goal subscales.

CONCLUSIONS

Results indicate that users established a working alliance with the avatar. The affective bond remained stable over time, but towards the end of the intervention some users indicated that they missed having a human therapist. Affective bond and missing a real therapist predicted symptom change.

Online interventions to address HIV and other sexually transmitted and blood-borne infections among young gay, bisexual and other men who have sex with men: a systematic review

Introduction

Globally, young gay, bisexual and other men who have sex with men (gbMSM) continue to experience disproportionately high rates of HIV and other sexually transmitted and blood‐borne infections (STBBIs). As such, there are strong public health imperatives to evaluate innovative prevention, treatment and care interventions, including online interventions. This study reviewed and assessed the status of published research (e.g. effectiveness; acceptability; differential effects across subgroups) involving online interventions that address HIV/STBBIs among young gbMSM.

Methods

We searched Medline, Embase, PsycINFO, CINAHL, and Google Scholar to identify relevant English‐language publications from inception to November 2016. Studies that assessed an online intervention regarding the prevention, care, or treatment of HIV/STBBIs were included. Studies with <50% gbMSM or with a mean age ≥30 years were excluded.

Results

Of the 3465 articles screened, 17 studies met inclusion criteria. Sixteen studies assessed interventions at the “proof‐of‐concept” phase, while one study assessed an intervention in the dissemination phase. All of the studies focused on behavioural or knowledge outcomes at the individual level (e.g. condom use, testing behaviour), and all but one reported a statistically significant effect on ≥1 primary outcomes. Twelve studies described theory‐based interventions. Twelve were conducted in the United States, with study samples focusing mainly on White, African‐American and/or Latino populations; the remaining were conducted in Hong Kong, Peru, China, and Thailand. Thirteen studies included gay and bisexual men; four studies did not assess sexual identity. Two studies reported including both HIV+ and HIV− participants, and all but one study included one or more measure of socio‐economic status. Few studies reported on the differential intervention effects by socio‐economic status, sexual identity, race or serostatus.

Conclusion

While online interventions show promise at addressing HIV/STBBI among young gbMSM, to date, little emphasis has been placed on assessing: (i) potential differential effects of interventions across subgroups of young gbMSM; (ii) effectiveness studies of interventions in the dissemination phase; and (iii) on some “key” populations of young gbMSM (e.g. those who are: transgender, from low‐income settings and/or HIV positive). Future research that unpacks the potentially distinctive experiences of particular subgroups with “real world” interventions is needed.

Internet-based interventions for smoking cessation

BACKGROUND

Tobacco use is estimated to kill 7 million people a year. Nicotine is highly addictive, but surveys indicate that almost 70% of US and UK smokers would like to stop smoking. Although many smokers attempt to give up on their own, advice from a health professional increases the chances of quitting. As of 2016 there were 3.5 billion Internet users worldwide, making the Internet a potential platform to help people quit smoking.

OBJECTIVES

To determine the effectiveness of Internet-based interventions for smoking cessation, whether intervention effectiveness is altered by tailoring or interactive features, and if there is a difference in effectiveness between adolescents, young adults, and adults.

SEARCH METHODS

We searched the Cochrane Tobacco Addiction Group Specialised Register, which included searches of MEDLINE, Embase and PsycINFO (through OVID). There were no restrictions placed on language, publication status or publication date. The most recent search was conducted in August 2016.

SELECTION CRITERIA

We included randomised controlled trials (RCTs). Participants were people who smoked, with no exclusions based on age, gender, ethnicity, language or health status. Any type of Internet intervention was eligible. The comparison condition could be a no-intervention control, a different Internet intervention, or a non-Internet intervention. To be included, studies must have measured smoking cessation at four weeks or longer.

DATA COLLECTION AND ANALYSIS

Two review authors independently assessed and extracted data. We extracted and, where appropriate, pooled smoking cessation outcomes of six-month follow-up or more, reporting short-term outcomes narratively where longer-term outcomes were not available. We reported study effects as a risk ratio (RR) with a 95% confidence interval (CI).We grouped studies according to whether they (1) compared an Internet intervention with a non-active control arm (e.g. printed self-help guides), (2) compared an Internet intervention with an active control arm (e.g. face-to-face counselling), (3) evaluated the addition of behavioural support to an Internet programme, or (4) compared one Internet intervention with another. Where appropriate we grouped studies by age.

MAIN RESULTS

We identified 67 RCTs, including data from over 110,000 participants. We pooled data from 35,969 participants.There were only four RCTs conducted in adolescence or young adults that were eligible for meta-analysis.Results for trials in adults: Eight trials compared a tailored and interactive Internet intervention to a non-active control. Pooled results demonstrated an effect in favour of the intervention (RR 1.15, 95% CI 1.01 to 1.30, n = 6786). However, statistical heterogeneity was high (I² = 58%) and was unexplained, and the overall quality of evidence was low according to GRADE. Five trials compared an Internet intervention to an active control. The pooled effect estimate favoured the control group, but crossed the null (RR 0.92, 95% CI 0.78 to 1.09, n = 3806, I² = 0%); GRADE quality rating was moderate. Five studies evaluated an Internet programme plus behavioural support compared to a non-active control (n = 2334). Pooled, these studies indicated a positive effect of the intervention (RR 1.69, 95% CI 1.30 to 2.18). Although statistical heterogeneity was substantial (I² = 60%) and was unexplained, the GRADE rating was moderate. Four studies evaluated the Internet plus behavioural support compared to active control. None of the studies detected a difference between trial arms (RR 1.00, 95% CI 0.84 to 1.18, n = 2769, I² = 0%); GRADE rating was moderate. Seven studies compared an interactive or tailored Internet intervention, or both, to an Internet intervention that was not tailored/interactive. Pooled results favoured the interactive or tailored programme, but the estimate crossed the null (RR 1.10, 95% CI 0.99 to 1.22, n = 14,623, I² = 0%); GRADE rating was moderate. Three studies compared tailored with non-tailored Internet-based messages, compared to non-tailored messages. The tailored messages produced higher cessation rates compared to control, but the estimate was not precise (RR 1.17, 95% CI 0.97 to 1.41, n = 4040), and there was evidence of unexplained substantial statistical heterogeneity (I² = 57%); GRADE rating was low.Results should be interpreted with caution as we judged some of the included studies to be at high risk of bias.

AUTHORS' CONCLUSIONS

The evidence from trials in adults suggests that interactive and tailored Internet-based interventions with or without additional behavioural support are moderately more effective than non-active controls at six months or longer, but there was no evidence that these interventions were better than other active smoking treatments. However some of the studies were at high risk of bias, and there was evidence of substantial statistical heterogeneity. Treatment effectiveness in younger people is unknown.

Behavioral and Psychosocial Characteristics Among Head Start Childcare Providers

The aim of the study was twofold: (a) describe behavioral and psychosocial characteristics of Head Start childcare providers including technology use, physical activity, nutrition, depression, and quality of life and (b) examine associations among these characteristics. Using a cross-sectional design, a nonrandom sample of 80 Head Start childcare providers completed an online survey via SurveyMonkey. About 80.1% were overweight or obese. Nearly all had a computer or smartphone. About 55% met the national physical activity recommendation of 150 min/week. Approximately 56.2% did not know the recommended daily servings of fruits and vegetables, and 26.3% had ≥3 servings of vegetables per day. About 38.8% had major depression or dysthymia, and 31.3% had depressive symptoms. The top two perceived health needs were weight loss and stress management. Providing a health promotion and stress management program to childcare providers may benefit both providers and children, considering the strong influence of teachers on children.

Improving Health and Reducing Comorbidity Associated with HIV: The Development of TAVIE en santé, a Web-Based Tailored Intervention to Support the Adoption of Health Promoting Behaviors among People Living with HIV

Background. In the domain of health behavior change, the deployment and utilization of information and communications technologies as a way to deliver interventions appear to be promising. This article describes the development of a web-based tailored intervention, TAVIE en santé, to support people living with HIV in the adoption of healthy behaviors. Methods. This intervention was developed through an Intervention Mapping (IM) framework and is based on the theory of planned behavior. Results. Crucial steps of IM are the selection of key determinants of behavior and the selection of useful theory-based intervention methods to change the targeted determinants (active ingredients). The content and the sequence of the intervention are then created based on these parameters. TAVIE en santé is composed of 7 interactive web sessions hosted by a virtual nurse. It aims to develop and strengthen skills required for behavior change. Based on an algorithm using individual cognitive data (attitude, perceived behavioral control, and intention), the number of sessions, theory-based intervention methods, and messages contents are tailored to each user. Conclusion. TAVIE en santé is currently being evaluated. The use of IM allows developing intervention with a systematic approach based on theory, empirical evidence, and clinical and experiential knowledge.

The effectiveness of e-& mHealth interventions to promote physical activity and healthy diets in developing countries: A systematic review

Background

Promoting physical activity and healthy eating is important to combat the unprecedented rise in NCDs in many developing countries. Using modern information-and communication technologies to deliver physical activity and diet interventions is particularly promising considering the increased proliferation of such technologies in many developing countries. The objective of this systematic review is to investigate the effectiveness of e-& mHealth interventions to promote physical activity and healthy diets in developing countries.

Methods

Major databases and grey literature sources were searched to retrieve studies that quantitatively examined the effectiveness of e-& mHealth interventions on physical activity and diet outcomes in developing countries. Additional studies were retrieved through citation alerts and scientific social media allowing study inclusion until August 2016. The CONSORT checklist was used to assess the risk of bias of the included studies.

Results

A total of 15 studies conducted in 13 developing countries in Europe, Africa, Latin-and South America and Asia were included in the review. The majority of studies enrolled adults who were healthy or at risk of diabetes or hypertension. The average intervention length was 6.4 months, and text messages and the Internet were the most frequently used intervention delivery channels. Risk of bias across the studies was moderate (55.7 % of the criteria fulfilled). Eleven studies reported significant positive effects of an e-& mHealth intervention on physical activity and/or diet behaviour. Respectively, 50 % and 70 % of the interventions were effective in promoting physical activity and healthy diets.

Conclusions

The majority of studies demonstrated that e-& mHealth interventions were effective in promoting physical activity and healthy diets in developing countries. Future interventions should use more rigorous study designs, investigate the cost-effectiveness and reach of interventions, and focus on emerging technologies, such as smart phone apps and wearable activity trackers.

Trial registration

The review protocol can be retrieved from the PROSPERO database (Registration ID: CRD42015029240).

Electronic supplementary material

The online version of this article (doi:10.1186/s12966-016-0434-2) contains supplementary material, which is available to authorized users.

Behavioral Nutrition Interventions Using e- and m-Health Communication Technologies: A Narrative Review

e- and m-Health communication technologies are now common approaches to improving population health. The efficacy of behavioral nutrition interventions using e-health technologies to decrease fat intake and increase fruit and vegetable intake was demonstrated in studies conducted from 2005 to 2009, with approximately 75% of trials showing positive effects. By 2010, an increasing number of behavioral nutrition interventions were focusing on body weight. The early emphasis on interventions that were highly computer tailored shifted to personalized electronic interventions that included weight and behavioral self-monitoring as key features. More diverse target audiences began to participate, and mobile components were added to interventions. Little progress has been made on using objective measures rather than self-reported measures of dietary behavior. A challenge for nutritionists is to link with the private sector in the design, use, and evaluation of the many electronic devices that are now available in the marketplace for nutrition monitoring and behavioral change.

Past, Present, and Future of eHealth and mHealth Research to Improve Physical Activity and Dietary Behaviors

Because physical inactivity and unhealthy diets are highly prevalent, there is a need for cost-effective interventions that can reach large populations. Electronic health (eHealth) and mobile health (mHealth) solutions have shown promising outcomes and have expanded rapidly in the past decade. The purpose of this report is to provide an overview of the state of the evidence for the use of eHealth and mHealth in improving physical activity and nutrition behaviors in general and special populations. The role of theory in eHealth and mHealth interventions is addressed, as are methodological issues. Key recommendations for future research in the field of eHealth and mHealth are provided.

The effect of an information and communication technology (ICT) on older adults' quality of life: study protocol for a randomized control trial

BACKGROUND

This study investigates the use of an information and communication technology (Elder Tree) designed for older adults and their informal caregivers to improve older adult quality of life and address challenges older adults face in maintaining their independence (for example, loneliness and isolation, falling, managing medications, driving and transportation).

METHODS/DESIGN

This study, an unblinded randomized controlled trial, will evaluate the effectiveness and cost of Elder Tree. Older adults who are at risk for losing their independence - along with their informal caregivers, if they name them - are randomized to two groups. The intervention group has access to their usual sources of information and communication as well as to Elder Tree for 18 months while the control group uses only their usual sources of information and communication. The primary outcome of the study is older adult quality of life. Secondary outcomes are cost per Quality-Adjusted Life Year and the impact of the technology on independence, loneliness, falls, medication management, driving and transportation, and caregiver appraisal and mastery. We will also examine the mediating effect of self-determination theory. We will evaluate the effectiveness of Elder Tree by comparing intervention- and control-group participants at baseline and months 6, 12, and 18. We will use mixed-effect models to evaluate the primary and secondary outcomes, where pretest score functions as a covariate, treatment condition is a between-subjects factor, and the multivariate outcome reflects scores for a given assessment at the three time points. Separate analyses will be conducted for each outcome. Cost per Quality-Adjusted Life Year will be compared between the intervention and control groups. Additional analyses will examine the mediating effect of self-determination theory on each outcome.

DISCUSSION

Elder Tree is a multifaceted intervention, making it a challenge to assess which services or combinations of services account for outcomes in which subsets of older adults. If Elder Tree can improve quality of life and reduce healthcare costs among older adults, it could suggest a promising way to ease the burden that advancing age can place on older adults, their families, and the healthcare system.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02128789 . Registered on 26 March 2014.