A randomized comparison of two motivationally enhanced Internet behavioral weight loss programs

The effectiveness of social-support-based weight-loss interventions-a systematic review and meta-analysis

OBJECTIVE

This systematic review and meta-analysis examined the effectiveness of social-support-based weight-loss interventions in adult populations with excess weight or obesity.

METHODS

We performed a systematic review of randomized controlled trials that reported on the effectiveness of weight-loss interventions which incorporated a social connectedness component. To this end, we conducted a rigorous database search of MEDLINE, Embase, PsycINFO, CINAHL, Cochrane, and PubMed for relevant articles. The quality of eligible trials was evaluated by the Cochrane Risk-of-Bias2 tool. Five meta-analyses on intervention effectiveness in terms of weight loss were executed at 2-4-month assessment, 6-month assessment, end of intervention, and 3- and 6-month follow-up.

RESULTS

Twenty-four trials involving couples or peers targeting weight loss in 4 919 adults with BMI ≥ 25 met inclusion criteria. Meta-analyses detected no significant effect of social-support-based weight-loss interventions at either 2-4 month or 6-month assessment. There were, however, significant effects at end of intervention [95% CI 0.39, p = 0.04] and at 3-month [95% CI 0.63, p < 0.01] and 6-month [95% CI 0.34, p = 0.05] follow-up.

CONCLUSIONS

There seem to be a significant effect at the end of intervention and 3- and 6-month follow-up. However, further high-quality studies are needed before drawing any clear conclusions.

TRIAL REGISTRATION

PROSPERO 2020 CRD42020173696.

Ethical and Information Governance Considerations for Promoting Digital Social Interventions in Primary Care

Promoting online peer support beyond the informal sector to statutory health services requires ethical considerations and evidence-based knowledge about its impact on patients, health care professionals, and the wider health care system. Evidence on the effectiveness of digital interventions in primary care is sparse, and definitive guidance is lacking on the ethical concerns arising from the use of social media as a means for health-related interventions and research. Existing literature examining ethical issues with digital interventions in health care mainly focuses on apps, electronic health records, wearables, and telephone or video consultations, without necessarily covering digital social interventions, and does not always account for primary care settings specifically. Here we address the ethical and information governance aspects of undertaking research on the promotion of online peer support to patients by primary care clinicians, related to medical and public health ethics.

Using artificial intelligence to optimize delivery of weight loss treatment: Protocol for an efficacy and cost-effectiveness trial

Gold standard behavioral weight loss (BWL) is limited by the availability of expert clinicians and high cost of delivery. The artificial intelligence (AI) technique of reinforcement learning (RL) is an optimization solution that tracks outcomes associated with specific actions and, over time, learns which actions yield a desired outcome. RL is increasingly utilized to optimize medical treatments (e.g., chemotherapy dosages), and has very recently started to be utilized by behavioral treatments. For example, we previously demonstrated that RL successfully optimized BWL by dynamically choosing between treatments of varying cost/intensity each week for each participant based on automatic monitoring of digital data (e.g., weight change). In that preliminary work, participants randomized to the AI condition required one-third the amount of coaching contact as those randomized to the gold standard condition but had nearly identical weight losses. The current protocol extends our pilot work and will be the first full-scale randomized controlled trial of a RL system for weight control. The primary aim is to evaluate the hypothesis that a RL-based 12-month BWL program will produce non-inferior weight losses to standard BWL treatment, but at lower costs. Secondary aims include testing mechanistic targets (calorie intake, physical activity) and predictors (depression, binge eating). As such, adults with overweight/obesity (N = 336) will be randomized to either a gold standard condition (12 months of weekly BWL groups) or AI-optimized weekly interventions that represent a combination of expert-led group, expert-led call, paraprofessional-led call, and automated message). Participants will be assessed at 0, 1, 6 and 12 months.

Engagement and Weight Loss in a Web and Mobile Program for Low-Income Postpartum Women: Fit Moms/Mamás Activas

Internet-based weight loss programs can be effective in promoting weight loss and are less-intensive than traditional face-to-face approaches, which may provide more flexibility for postpartum, low-income women to engage in such programs. Few studies have examined patterns of engagement in internet-based programs for this population. This article used data from the internet-based Fit Moms/Mamás Activas intervention, a 12-month cluster randomized controlled trial that was effective in promoting postpartum weight loss among low-income, predominantly Hispanic women. The overall objectives of this study were to (1) characterize patterns of engagement with the Fit Moms/Mamás Activas website among intervention participants and (2) explore associations between engagement and 12-month weight loss outcomes among study completers (87.4%). A number of engagement variables were calculated for each participant, including website logins; time spent on the website; number of posts to the "Discussion Forum;" number of days tracking weight, diet, and physical activity; number of page visits to various website components; and number of in-person visits attended. The average number of logins was 70.74 (approximately once weekly), and average total time spent on the website was 185.35 minutes (approximately 3 hours) over 1 year. Self-monitoring ("Web Diary") and social support ("Discussion Forum") were the most frequently visited components of the website, and more frequent engagement with these components, as well as greater attendance at in-person group sessions, predicted greater percent weight loss at 12 months. Interventions highlighting these features may be particularly effective for weight loss in this population.

Behavior-Specific Cognitions Moderate Rural Women's Responsiveness to Web-Based Interventions for Weight Loss

OBJECTIVE

To examine whether baseline behavior-specific cognitions moderated the effects of 2 Web-based interventions with enhanced features on weight loss success in rural women.

DESIGN

Secondary analysis of behavior-specific cognition data from a community-based, randomized controlled trial, as potential moderators of weight loss over 30 months.

PARTICIPANTS

Women, overweight or obese, from rural communities, aged 40-69 years (n = 200).

INTERVENTIONS

Theory-based Web interventions, with enhanced features of either peer-led Web discussion or professional e-mail counseling.

MAIN OUTCOME MEASURES

Benefits and barriers to healthy eating and activity; self-efficacy and interpersonal support for healthy eating and activity using validated surveys; and weight.

ANALYSIS

Longitudinal multilevel models.

RESULTS

Women in the professional e-mail counseling group were more likely to lose weight if they perceived fewer barriers to and higher self-efficacy for healthy eating and activity. Greater weight loss in the peer-led discussion group was observed for women with lower self-efficacy and higher perceptions of barriers. Interpersonal support did not moderate the effects of the interventions.

CONCLUSIONS AND IMPLICATIONS

Although women in 2 different Web-enhanced interventions achieved similar weight loss, their baseline perceptions of behavior-specific cognitions moderated their relationship with the type of intervention and weight loss success. These findings, although exploratory, may assist in matching women to Web interventions that would best maximize weight loss success. Further research is needed.

Strategies to reduce attrition in weight loss interventions: A systematic review and meta-analysis

The primary objective of the study was to identify the effect of intervention strategies on attrition within a weight loss programme among adults aged 18 to 65 years. The secondary objective of the study was to assess the impact of such intervention strategies among female-only weight loss programmes. The literature search was performed in Ovid (CINAHL Plus, MEDLINE, EMBASE, Cochrane [Cochrane Database of Reviews, Cochrane Central Register of Controlled Trials, and Cochrane Methodology Register], and PsycINFO). Studies must have identified weight loss as the main aim and compared the primary weight loss programme alone (control) with the primary weight loss programme coupled with an additional intervention strategy (intervention). Papers must have had a mean participant age between 18 and 65 years and available in English. Fifty-seven trials met the inclusion criteria and were included in the meta-analysis. Strategies that successfully reduced attrition included the incorporation of financial incentives (n = 8), a multicomponent approach (n = 13), and use of self-monitoring technology (n = 4). The majority of studies were of low to moderate methodological quality because of insufficient reporting. A limited number of female-only trials were found (n = 13). Implementation of financial incentives, multicomponent interventions, and self-monitoring technology help reduce attrition among adult weight loss programmes. Further studies are required to identify the impact of intervention strategies on attrition in women.

The Balance protocol: a pragmatic weight gain prevention randomized controlled trial for medically vulnerable patients within primary care

BACKGROUND

For patients with obesity who are not ready for or experience barriers to weight loss, clinical practice guidelines recommend provider counseling on preventing further weight gain as a first-line treatment approach. Unfortunately, evidence-based weight gain prevention interventions are not routinely available within primary care. To address this gap, we will implement a pragmatic 12-month randomized controlled trial of a digital weight gain prevention intervention delivered to patients receiving primary care within a network of Federally Qualified Community Health Centers in central North Carolina.

METHODS

Balance (Equilibrio in Spanish) is a pragmatic effectiveness trial that will randomize adult patients who have overweight or obesity (BMI of 25-40 kg/m2) to either: 1) a weight gain prevention intervention with tailored behavior change goals and tracking, daily weighing on a network-connected electronic scale, and responsive weight and goal coaching delivered remotely by health center registered dietitians; or 2) a usual care program with automated healthy living text messages and print materials and routine primary care. The primary outcome will be weight gain prevention at 24-months, defined as ≤3% change in baseline weight. To align with its pragmatic design, trial outcome data will be pulled from the electronic health record of the community health center network.

DISCUSSION

For underserved, often rurally-located patients with obesity, digital approaches to promote a healthy lifestyle can curb further weight gain. Yet enrolling medically vulnerable patients into a weight gain prevention trial, many of whom are from racial/ethnic minorities, can be difficult. Despite these potential challenges, we plan to recruit a large, diverse sample from rural areas, and will implement a remotely-delivered weight gain prevention intervention to medically vulnerable patients. Upcoming trial results will demonstrate the effectiveness of this pragmatic approach to implement and evaluate a digital weight gain prevention intervention within primary care.

TRIALS REGISTRATION

NCT03003403 . Registered December 28, 2016.

Designing a Chatbot for a Brief Motivational Interview on Stress Management: Qualitative Case Study

Background

In addition to addiction and substance abuse, motivational interviewing (MI) is increasingly being integrated in treating other clinical issues such as mental health problems. Most of the many technological adaptations of MI, however, have focused on delivering the action-oriented treatment, leaving its relational component unexplored or vaguely described. This study intended to design a conversational sequence that considers both technical and relational components of MI for a mental health concern.

Objective

This case study aimed to design a conversational sequence for a brief motivational interview to be delivered by a Web-based text messaging application (chatbot) and to investigate its conversational experience with graduate students in their coping with stress.

Methods

A brief conversational sequence was designed with varied combinations of MI skills to follow the 4 processes of MI. A Web-based text messaging application, Bonobot, was built as a research prototype to deliver the sequence in a conversation. A total of 30 full-time graduate students who self-reported stress with regard to their school life were recruited for a survey of demographic information and perceived stress and a semistructured interview. Interviews were transcribed verbatim and analyzed by Braun and Clarke’s thematic method. The themes that reflect the process of, impact of, and needs for the conversational experience are reported.

Results

Participants had a high level of perceived stress (mean 22.5 [SD 5.0]). Our findings included the following themes: Evocative Questions and Clichéd Feedback; Self-Reflection and Potential Consolation; and Need for Information and Contextualized Feedback. Participants particularly favored the relay of evocative questions but were less satisfied with the agent-generated reflective and affirming feedback that filled in-between. Discussing the idea of change was a good means of reflecting on themselves, and some of Bonobot’s encouragements related to graduate school life were appreciated. Participants suggested the conversation provide informational support, as well as more contextualized feedback.

Conclusions

A conversational sequence for a brief motivational interview was presented in this case study. Participant feedback suggests sequencing questions and MI-adherent statements can facilitate a conversation for stress management, which may encourage a chance of self-reflection. More diversified sequences, along with more contextualized feedback, should follow to offer a better conversational experience and to confirm any empirical effect.

A framework for examining the function of digital health technologies for weight management

Research is rapidly extending its focus to develop and evaluate weight management interventions that incorporate eHealth technologies. Comparative effectiveness of eHealth interventions is partly limited by the extensive heterogeneity in intervention design, variation in use of eHealth tools, and expanding development of novel tools to promote weight management. We closely examined, characterized, and categorized the use and function of eHealth tools across a wide range of eHealth interventions for weight management in order to first create a novel schematic framework for eHealth interventions and, second, to evaluate eHealth interventions using this framework. We examined 49 randomized controlled trials from two systematic reviews evaluating the effectiveness of eHealth interventions for weight loss. Further characterization of each intervention identified common use and function of eHealth tools represented within interventions and thus important to include in the proposed framework. This resulted in six descriptive domains. We then categorized each eHealth intervention within the context of the newly developed framework. Last, we examined efficacious interventions in the context of the framework. Twenty-five randomized controlled trials reported significantly more weight loss between the intervention group utilizing eHealth, compared to a non-eHealth control intervention and/or within an eHealth intervention group. Of these 25 interventions, 15 (60%) used automated feedback (Domain 1), 13 (52%) used non-eHealth tailored feedback by a health care provider (Domain 5), and 8 (32%) used tailored feedback from a health care professional through an electronic channel (Domain 2). The proposed schematic framework offers an alternative and novel approach for comparing across interventions and informing the development and evaluation of eHealth interventions.

Can the artificial intelligence technique of reinforcement learning use continuously-monitored digital data to optimize treatment for weight loss?

Behavioral weight loss (WL) trials show that, on average, participants regain lost weight unless provided long-term, intensive-and thus costly-intervention. Optimization solutions have shown mixed success. The artificial intelligence principle of "reinforcement learning" (RL) offers a new and more sophisticated form of optimization in which the intensity of each individual's intervention is continuously adjusted depending on patterns of response. In this pilot, we evaluated the feasibility and acceptability of a RL-based WL intervention, and whether optimization would achieve equivalent benefit at a reduced cost compared to a non-optimized intensive intervention. Participants (n = 52) completed a 1-month, group-based in-person behavioral WL intervention and then (in Phase II) were randomly assigned to receive 3 months of twice-weekly remote interventions that were non-optimized (NO; 10-min phone calls) or optimized (a combination of phone calls, text exchanges, and automated messages selected by an algorithm). The Individually-Optimized (IO) and Group-Optimized (GO) algorithms selected interventions based on past performance of each intervention for each participant, and for each group member that fit into a fixed amount of time (e.g., 1 h), respectively. Results indicated that the system was feasible to deploy and acceptable to participants and coaches. As hypothesized, we were able to achieve equivalent Phase II weight losses (NO = 4.42%, IO = 4.56%, GO = 4.39%) at roughly one-third the cost (1.73 and 1.77 coaching hours/participant for IO and GO, versus 4.38 for NO), indicating strong promise for a RL system approach to weight loss and maintenance.

Effect of Motivational Interviewing on Using Intrauterine Device in Women at High Risk for Pregnancy

BACKGROUND

Reproductive health programs help women live healthier. Family planning consultation is an important component of reproductive health. A good family planning consultation can increase the use of effective birth control methods and improve the life quality of people, specifically of those at high risk. One of the most effective birth control techniques is an intrauterine device (IUD).

AIM

This study was done to investigate the effect of motivational interviewing (MI) on the use of IUD in women at high risk for pregnancy.

METHODS

This random educational trial was conducted in Isfahan on 44 women at high risk for pregnancy in 2015. Subjects were selected through random sampling. First, written informed consent of all samples was gathered, and then the intervention was made in five 45-minute motivational interviewing sessions by the researcher. For this study, a questionnaire was created to measure knowledge, attitude, acceptance, and performance. All the subjects filled this instrument prior and one month after the intervention. Data were then analysed using SPSS 20. The employed statistical tests included dependent t-test, independent t-test, Mann-Whitney, Fischer's exact test, and McNemar's test.

RESULTS

Results suggested that MI significantly improved the use of IUD in the intervention group (p < 0.001). Also, the mean knowledge (p < 0.001) and attitude (p < 0.001) scores significantly increased in the intervention group.

CONCLUSION

Due to the role of MI in increasing the use of IUD, embedding this type of consultation in specific programs for changing health behaviours during pregnancy can be beneficial.

Comparing physical activity in individuals with overweight/obesity with and without binge eating disorder

Objective

Differential participation in physical activity (PA) may partially explain the health discrepancies between individuals with or without binge-eating disorder (BED). Yet, little is known about the PA habits of individuals with overweight/obesity and how those patterns may differ based on BED status. PA patterns and exercise self-efficacy were examined in individuals with overweight/obesity, with and without BED.

Design

Ninety-seven participants with overweight/obesity self-reported their PA via the Godin Leisure-Time Questionnaire and the Paffenbarger PA Questionnaire. Exercise self-efficacy was assessed with the Marcus 5-item Exercise Self-Efficacy scale. Based on the Eating Disorder Examination, 27.8% (n = 27) of the participants met BED criteria. Participants were primarily female (n = 75, 77.3%), on average 47.5 years old (standard deviation = 10.4), and predominantly White/Not Hispanic (n = 67, 69.1%) or African-American/Not Hispanic (n = 18, 18.6%).

Results

Hierarchical regressions, accounting for significant differences in body mass index between those with and without BED, showed that the Marcus 5-item Exercise Self-Efficacy Scale (but not BED status) was significantly related to PA. BED status also was unrelated to likelihood of reaching Centres for Disease Control PA guidelines, and 44.3% of all participants reported no participation in weekly sports/recreation activities.

Conclusions

Both groups participated in relatively little purposeful and moderate/strenuous PA. Exercise self-efficacy may be important to assess and address among treatment seeking individuals with and without BED who struggle with excess weight.

Peer-Based Social Media Features in Behavior Change Interventions: Systematic Review

Background

Incorporating social media features into digital behavior change interventions (DBCIs) has the potential to contribute positively to their success. However, the lack of clear design principles to describe and guide the use of these features in behavioral interventions limits cross-study comparisons of their uses and effects.

Objective

The aim of this study was to provide a systematic review of DBCIs targeting modifiable behavioral risk factors that have included social media features as part of their intervention infrastructure. A taxonomy of social media features is presented to inform the development, description, and evaluation of behavioral interventions.

Methods

Search terms were used in 8 databases to identify DBCIs that incorporated social media features and targeted tobacco smoking, diet and nutrition, physical activities, or alcohol consumption. The screening and review process was performed by 2 independent researchers.

Results

A total of 5264 articles were screened, and 143 articles describing a total of 134 studies were retained for full review. The majority of studies (70%) reported positive outcomes, followed by 28% finding no effects with regard to their respective objectives and hypothesis, and 2% of the studies found that their interventions had negative outcomes. Few studies reported on the association between the inclusion of social media features and intervention effect. A taxonomy of social media features used in behavioral interventions has been presented with 36 social media features organized under 7 high-level categories. The taxonomy has been used to guide the analysis of this review.

Conclusions

Although social media features are commonly included in DBCIs, there is an acute lack of information with respect to their effect on outcomes and a lack of clear guidance to inform the selection process based on the features’ suitability for the different behaviors. The proposed taxonomy along with the set of recommendations included in this review will support future research aimed at isolating and reporting the effects of social media features on DBCIs, cross-study comparisons, and evaluations.

Users, Uses, and Effects of Social Media in Dietetic Practice: Scoping Review of the Quantitative and Qualitative Evidence

BACKGROUND

Social media platforms are increasingly used by registered dietitians (RDs) to improve knowledge translation and exchange in nutrition. However, a thorough understanding of social media in dietetic practice is lacking.

OBJECTIVE

The objective of this study was to map and summarize the evidence about the users, uses, and effects of social media in dietetic practice to identify gaps in the literature and inform future research by using a scoping review methodology.

METHODS

Stages for conducting the scoping review included the following: (1) identifying the research question; (2) identifying relevant studies through a comprehensive multidatabase and gray literature search strategy; (3) selecting eligible studies; (4) charting the data; and (5) collating, summarizing, and reporting results for dissemination. Finally, knowledge users (RDs working for dietetic professional associations and public health organizations) were involved in each review stage to generate practical findings.

RESULTS

Of the 47 included studies, 34 were intervention studies, 4 were descriptive studies, 2 were content analysis studies, and 7 were expert opinion papers in dietetic practice. Discussion forums were the most frequent social media platform evaluated (n=19), followed by blogs (n=13) and social networking sites (n=10). Most studies targeted overweight and obese or healthy users, with adult populations being most studied. Social media platforms were used to deliver content as part of larger multiple component interventions for weight management. Among intervention studies using a control group with no exposition to social media, we identified positive, neutral, and mixed effects of social media for outcomes related to users' health behaviors and status (eg, dietary intakes and body weight), participation rates, and professional knowledge. Factors associated with the characteristics of the specific social media, such as ease of use, a design for quick access to desired information, and concurrent reminders of use, were perceived as the main facilitators to the use of social media in dietetic practice, followed to a lesser extent by interactions with an RD and social support from fellow users. Barriers to social media use were mostly related to complicated access to the site and time issues.

CONCLUSIONS

Research on social media in dietetic practice is at its infancy, but it is growing fast. So far, this field of research has targeted few social media platforms, most of which were assessed in multiple-component interventions for weight management among overweight or obese adults. Trials isolating the effects and mechanisms of action of specific social media platforms are needed to draw conclusions regarding the effectiveness of those tools to support dietetic practice. Future studies should address barriers and facilitators related to the use of social media written by RDs and should explore how to make these tools useful for RDs to reach health consumers to improve health through diet.

Using social media for health research: Methodological and ethical considerations for recruitment and intervention delivery

As the popularity and diversity of social media platforms increases so does their utility for health research. Using social media for recruitment into clinical studies and/or delivering health behavior interventions may increase reach to a broader audience. However, evidence supporting the efficacy of these approaches is limited, and key questions remain with respect to optimal benchmarks, intervention development and methodology, participant engagement, informed consent, privacy, and data management. Little methodological guidance is available to researchers interested in using social media for health research. In this Tutorial, we summarize the content of the 2017 Society for Behavioral Medicine Pre-Conference Course entitled 'Using Social Media for Research,' at which the authors presented their experiences with methodological and ethical issues relating to social media-enabled research recruitment and intervention delivery. We identify common pitfalls and provide recommendations for recruitment and intervention via social media. We also discuss the ethical and responsible conduct of research using social media for each of these purposes.

Randomized trial comparing group size of periodic in-person sessions in a remotely delivered weight loss intervention

BACKGROUND

Few randomized studies have examined differential effects of group size in behavioral weight control, especially in hybrid programs that include Internet treatment approaches.

METHODS

Randomized controlled trial (n = 195) comparing a 4 month hybrid internet weight loss program coupled with monthly face to face groups of 100 persons (Large Group, LG; 1 group) or to the same approach with monthly groups of 20 persons (Small Group, SG; 4 groups). Repeated-measures mixed-model analysis with age and race as covariates were used to estimate primary (weight) and secondary outcomes, and to test group differences in change over time.

RESULTS

The sample was 46.3 years old ±10.4, 90.3% female, and 51.9% non-white, with BMI 37.9 ± 8.4 kg/m2. Participants in the LG were more likely to return for the 4-month assessment visit than those in the SG (p = 0.04). Participants randomized to both the LG and SG conditions experienced significant WL over time (no between group difference: -4.1 kg and -3.7 kg, respectively) and weight loss was positively associated with attendance at monthly meetings and logins to the website. Satisfaction with the program was high and similar in both groups (94.4% reported that they were "satisfied" or "very satisfied").

CONCLUSIONS

Using a hybrid approach of in-person and online weight loss interventions may be an effective way to reach larger and more diverse populations. Delivering the face to face component of the intervention in groups larger than those traditionally delivered (20-25 people) could increase the cost-effectiveness of group-based behavioral weight loss interventions.

CLINICAL TRIALS REGISTRATION NUMBER

NCT01615471 . Registered June 6, 2012. Registered retrospectively.

Interest in a Twitter-delivered weight loss program among women of childbearing age

Weight management through the childbearing years is important, yet few women have access to efficacious weight loss programs. Online social network-delivered programs may increase reach and thus impact. The aim of this study was to gauge interest in a Twitter-based weight loss intervention among women of childbearing age and the feasibility of recruitment via Twitter. We recruited English-speaking women aged 18-45 years (N = 63) from Twitter to complete an anonymous online survey including open-ended questions about program advantages and concerns. Forty percent of participants were obese and 83 % were trying to lose weight. Eighty-one percent were interested in a Twitter-delivered weight loss program. Interest was high in all subgroups (62-100 %). Participants (59 %) cited program advantages, including convenience, support/accountability, and privacy. Concerns (59 %) included questions about privacy, support/accountability, engagement, efficacy, and technology barriers. Research is needed to develop and evaluate social media-delivered interventions, and to develop methods for recruiting participants directly from Twitter.

Web-Based Interventions Alone or Supplemented with Peer-Led Support or Professional Email Counseling for Weight Loss and Weight Maintenance in Women from Rural Communities: Results of a Clinical Trial

Objective. This trial compared the effectiveness of a web-based only (WO) intervention with web-based supplemented by peer-led discussion (WD) or professional email counseling (WE) across 3 phases to achieve weight loss and weight maintenance in women from underserved rural communities. Methods. 301 women (BMI of 28-45 kg/m²) randomly assigned to groups participated in guided weight loss (baseline to 6 months), guided weight loss and maintenance (6 to 18 months), and self-managed weight maintenance (18 to 30 months). Results. Retention was 88.7%, 76.5%, and 71.8% at 6, 18, and 30 months, respectively. Intent-to-treat analyses demonstrated no group differences in change in weight within any phases. At 6 months, observed mean (SD) weight loss was 5.1 (6.0) kg in WO, 4.1 (5.6) kg in WD, and 6.0 (6.3) kg in WE, with 42%, 38%, and 51%, respectively, meeting ≥ 5% weight loss. These proportions dropped by a third after phase 2 with no further change during phase 3. Conclusion. Web-based interventions assisted women from rural communities in achieving 6-month weight loss, with weight regain by half at 30 months. No group differences were potentially due to the robust nature of the web-based intervention. Trial Registration. This trial is registered with ClinicalTrials.gov NCT01307644.

Do individual, online motivational interviewing chat sessions enhance weight loss in a group-based, online weight control program?

OBJECTIVE

To examine whether the addition of online motivational interviewing (MI) chats to a Web-based, group behavioral obesity treatment program augments weight loss outcomes relative to the Web-based weight control program alone.

METHODS

Healthy individuals (N = 398, 24% minority) with overweight/obesity were randomized to a 36-session group Internet behavioral weight control treatment (BT) or the same group Internet treatment plus six individual MI chat sessions (BT + MI). Both conditions received weekly synchronous online chat group sessions for 6 months followed by 12 monthly group chats. Participants in both groups received identical behavioral lessons and individualized therapist feedback on progress toward meeting exercise and calorie goals. BT + MI also received six individual MI sessions delivered by a separate MI counselor via Web chat. Weight loss was measured at 6 and 18 months.

RESULTS

There were no significant differences in weight loss between BT (-5.5 ± 6.0 kg) and BT + MI (-5.1 ± 6.3 kg) at 6 months or at 18 months (-3.3 ± 7.1 kg vs. -3.5 ± 7.7 kg for BT and BT + MI, respectively). Attendance at group chats did not differ between groups, nor did self-monitoring patterns, suggesting comparable engagement in the weight control program in both conditions.

CONCLUSIONS

Online MI chat sessions were not a viable strategy to enhance Web-based weight control treatment outcomes.

Technology-assisted weight management interventions: systematic review of clinical trials

INTRODUCTION

More than one-third of U.S. adults are obese, which greatly increases their risks for type 2 diabetes, cardiovascular disease, and some types of cancer. Busy healthcare professionals need effective tools and strategies to facilitate healthy eating and increase physical activity, thus promoting weight loss in their patients. Communication technologies such as the Internet and mobile devices offer potentially powerful methodologies to deliver behavioral weight loss interventions, and researchers have studied a variety of technology-assisted approaches.

MATERIALS AND METHODS

The literature from 2002 to 2012 was systematically reviewed by examining clinical trials of technology-assisted interventions for weight loss or weight maintenance among overweight and obese adults.

RESULTS

In total, 2,011 citations from electronic databases were identified; 39 articles were eligible for inclusion. Findings suggest that the use of technology-assisted behavioral interventions, particularly those that incorporate text messaging or e-mail, may be effective for producing weight loss among overweight and obese adults.

CONCLUSIONS

Only a small percentage of the 39 studies reviewed used mobile platforms such as Android(®) (Google, Mountain View, CA) phones or the iPhone(®) (Apple, Cupertino, CA), only two studies incorporated cost analysis, none was able to identify which features were most responsible for changes in outcomes, and few reported long-term outcomes. All of these areas are important foci for future research.

Usage and Dose Response of a Mobile Acceptance and Commitment Therapy App: Secondary Analysis of the Intervention Arm of a Randomized Controlled Trial

Background

Mobile phone apps offer a promising medium to deliver psychological interventions. A mobile app based on Acceptance and Commitment Therapy (ACT) was developed and studied in a randomized controlled trial (RCT).

Objective

To study usage metrics of a mobile ACT intervention and dose-response relationship between usage and improvement in psychological flexibility.

Methods

An RCT was conducted to investigate the effectiveness of different lifestyle interventions for overweight people with psychological stress. This paper presents a secondary analysis of the group that received an 8-week mobile ACT intervention. Most of the analyzed 74 participants were female (n=64, 86%). Their median age was 49.6 (interquartile range, IQR 45.4-55.3) years and their mean level of psychological flexibility, measured with the Acceptance and Action Questionnaire II, was 20.4 (95% confidence interval 18.3-22.5). Several usage metrics describing the intensity of use, usage of content, and ways of use were calculated. Linear regression analyses were performed to study the dose-response relationship between usage and the change in psychological flexibility and to identify the usage metrics with strongest association with improvement. Binary logistic regression analyses were further used to assess the role of usage metrics between those who showed improvement in psychological flexibility and those who did not. In addition, associations between usage and baseline participant characteristics were studied.

Results

The median number of usage sessions was 21 (IQR 11.8-35), the number of usage days was 15 (IQR 9.0-24), and the number of usage weeks was 7.0 (IQR 4.0-8.0). The participants used the mobile app for a median duration of 4.7 (IQR 3.2-7.2) hours and performed a median of 63 (IQR 46-98) exercises. There was a dose-response relationship between usage and the change in psychological flexibility. The strongest associations with psychological flexibility (results adjusted with gender, age, and baseline psychological variables) were found for lower usage of Self as context related exercises (B=0.22, P=.001) and higher intensity of use, described by the number of usage sessions (B=−0.10, P=.01), usage days (B=−0.17, P=.008), and usage weeks (B=−0.73, P=.02), the number of exercises performed (B=−0.02, P=.03), and the total duration of use (B=−0.30, P=.04). Also, higher usage of Acceptance related exercises (B=−0.18, P=.04)

was associated with improvement. Active usage was associated with female gender, older age, and not owning a smart mobile phone before the study.

Conclusions

The results indicated that active usage of a mobile ACT intervention was associated with improved psychological flexibility. Usage metrics describing intensity of use as well as two metrics related to the usage of content were found to be most strongly associated with improvement.

Trial Registration

ClinicalTrials.gov NCT01738256; https://clinicaltrials.gov/ct2/show/NCT01738256 (Archived by WebCite at http://www.webcitation.org/6iTePjPLL)

Web-Based Interventions Targeting Cardiovascular Risk Factors in Middle-Aged and Older People: A Systematic Review and Meta-Analysis

BACKGROUND

Web-based interventions can improve single cardiovascular risk factors in adult populations. In view of global aging and the associated increasing burden of cardiovascular disease, older people form an important target population as well.

OBJECTIVE

In this systematic review and meta-analysis, we evaluated whether Web-based interventions for cardiovascular risk factor management reduce the risk of cardiovascular disease in older people.

METHODS

Embase, Medline, Cochrane and CINAHL were systematically searched from January 1995 to November 2014. Search terms included cardiovascular risk factors and diseases (specified), Web-based interventions (and synonyms) and randomized controlled trial. Two authors independently performed study selection, data-extraction and risk of bias assessment. In a meta-analysis, outcomes regarding treatment effects on cardiovascular risk factors (blood pressure, glycated hemoglobin A1c (HbA1C), low-density lipoprotein (LDL) cholesterol, smoking status, weight and physical inactivity) and incident cardiovascular disease were pooled with random effects models.

RESULTS

A total of 57 studies (N=19,862) fulfilled eligibility criteria and 47 studies contributed to the meta-analysis. A significant reduction in systolic blood pressure (mean difference -2.66 mmHg, 95% CI -3.81 to -1.52), diastolic blood pressure (mean difference -1.26 mmHg, 95% CI -1.92 to -0.60), HbA1c level (mean difference -0.13%, 95% CI -0.22 to -0.05), LDL cholesterol level (mean difference -2.18 mg/dL, 95% CI -3.96 to -0.41), weight (mean difference -1.34 kg, 95% CI -1.91 to -0.77), and an increase of physical activity (standardized mean difference 0.25, 95% CI 0.10-0.39) in the Web-based intervention group was found. The observed effects were more pronounced in studies with short (<12 months) follow-up and studies that combined the Internet application with human support (blended care). No difference in incident cardiovascular disease was found between groups (6 studies).

CONCLUSIONS

Web-based interventions have the potential to improve the cardiovascular risk profile of older people, but the effects are modest and decline with time. Currently, there is insufficient evidence for an effect on incident cardiovascular disease. A focus on long-term effects, clinical endpoints, and strategies to increase sustainability of treatment effects is recommended for future studies.

A comparison of a behavioral weight loss program to a stress management program: A pilot randomized controlled trial

OBJECTIVES

This study compared a behavioral weight loss program (BWL) with a stress management-based program, Emotional Brain Training (EBT), on weight loss, blood pressure, depression, perceived stress, diet, and physical activity.

METHODS

Subjects with a body mass index (BMI) of >28 and <45 kg/m(2) were recruited in Lexington, Kentucky in January 2014 and randomized to BWL or EBT for a 20-week intervention. Of those recruited, 49 participants were randomized to EBT or BWL. Randomization and allocation to group were performed using SPSS software. Weight, blood pressure, depression, perceived stress, dietary intake, and physical activity were measured at baseline, 10 week, and 20 week. Linear models for change over time were fit to calculate 95% confidence intervals of intervention effects.

RESULTS

BWL produced greater changes in BMI than EBT at both 10 (P = 0.02) and 20 wk (P = 0.03). At 10 wk, both EBT and BWL improved BMI, systolic blood pressure, depression and perceived stress (P < 0.05). BWL also improved diastolic blood pressure (P = 0.005). At 20 wk, EBT maintained improvements in BMI, systolic blood pressure, depression, and perceived stress while BWL maintained improvements only in BMI and depression (P < 0.05).

CONCLUSIONS

BWL produced greater weight loss than EBT; however, EBT produced sustained improvements in stress, depression, and systolic blood pressure. A combination of the two approaches should be explored.

Using synchronous distance education to deliver a weight loss intervention: A randomized trial

OBJECTIVE

To implement a randomized trial to evaluate the effectiveness of a weight loss program delivered using synchronous distance education compared with a wait-list control group with 6-month follow-up.

METHODS

Adults with a body mass index (BMI) ≥25 were randomized to the intervention (n = 42) or wait-list control group (n = 38). The intervention group participated in a synchronous, online, 15-week weight loss program; weight loss was the primary outcome. Secondary measures included height, BMI, and confidence in ability to be physically active and eat healthy. Assessments occurred at three and four time points in the intervention and control group, respectively.

RESULTS

Participants who completed the program lost significantly more weight (1.8 kg) than those in the wait-list control group (0.25 kg) at week 15 [F(1,61) = 6.19, P = 0.02] and had a greater reduction in BMI (0.71 vs. 0.14 kg/m(2) ), [F(1,61) = 7.45, P = 0.01]. There were no significant differences between the intervention and the wait-list control groups for change in confidence in ability to be physically active or eat healthy. Weight loss was maintained at 6 months.

CONCLUSIONS

Use of synchronous distance education is a promising approach for weight loss. The results of this study will help to inform future research that employs Web-based interventions.

Twitter-Delivered Behavioral Weight-Loss Interventions: A Pilot Series

BACKGROUND

Lifestyle interventions are efficacious at reducing risk for diabetes and cardiovascular disease but have not had a significant public health impact given high cost and patient and provider burden.

OBJECTIVE

Online social networks may reduce the burden of lifestyle interventions to the extent that they displace in-person visits and may enhance opportunities for social support for weight loss.

METHODS

We conducted an iterative series of pilot studies to evaluate the feasibility and acceptability of using online social networks to deliver a lifestyle intervention.

RESULTS

In Study 1 (n=10), obese participants with depression received lifestyle counseling via 12 weekly group visits and a private group formed using the online social network, Twitter. Mean weight loss was 2.3 pounds (SD 7.7; range -19.2 to 8.2) or 1.2% (SD 3.6) of baseline weight. A total of 67% (6/9) of participants completing exit interviews found the support of the Twitter group at least somewhat useful. In Study 2 (n=11), participants were not depressed and were required to be regular users of social media. Participants lost, on average, 5.6 pounds (SD 6.3; range -15 to 0) or 3.0% (SD 3.4) of baseline weight, and 100% (9/9) completing exit interviews found the support of the Twitter group at least somewhat useful. To explore the feasibility of eliminating in-person visits, in Study 3 (n=12), we delivered a 12-week lifestyle intervention almost entirely via Twitter by limiting the number of group visits to one, while using the same inclusion criteria as that used in Study 2. Participants lost, on average, 5.4 pounds (SD 6.4; range -14.2 to 3.9) or 3.0% (SD 3.1) of baseline weight, and 90% (9/10) completing exit interviews found the support of the Twitter group at least somewhat useful. Findings revealed that a private Twitter weight-loss group was both feasible and acceptable for many patients, particularly among regular users of social media.

CONCLUSIONS

Future research should evaluate the efficacy and cost-effectiveness of online social network-delivered lifestyle interventions relative to traditional modalities.

Reducing caregiver stress with internet-based interventions: a systematic review of open-label and randomized controlled trials

OBJECTIVE

The high level of stress associated with caring for others with medical conditions has been recognized for some time. Reducing caregiver stress can improve caregiver quality of life as well as improve the care they provide to loved ones. This systematic review assesses the effectiveness of internet-based interventions to decrease caregiver stress.

MATERIALS AND METHODS

A comprehensive literature search of Ovid MEDLINE (1946-2013), Embase (1988-2013), PsycINFO (1987-2013), and CINAHL was conducted using terms related to caregiver and internet-based interventions. Internet-based interventions involving informal caregivers in an open-label or randomized controlled trial setting were included. A pair of raters independently reviewed all published abstracts. Data regarding participants, interventions, and outcomes were extracted and, for randomized trials, methodology quality was also reviewed.

RESULTS

Eight open-label trials met the review criteria: three showed positive benefit in reducing caregiver stress, four were partially positive (some outcomes positive, others negative), and one was a negative study. Sixteen randomized trials met the review criteria: six showed positive benefit, five were partially positive, and five were negative. There were no clear patterns as to the variables (such as study duration and complexity of intervention) associated with better outcomes, although earlier studies typically had more negative outcomes.

DISCUSSION

Internet-based interventions were mostly effective in reducing aspects of caregiver stress and improving their well-being. Further studies to assess outcomes for caregivers and their recipients' health, different technology delivery methods, and the cost of such interventions are needed.

A randomized controlled trial comparing scalable weight loss treatments in primary care

OBJECTIVE

Primary-care (PC) settings may be an opportune place to deliver obesity interventions. Scalable interventions utilizing motivational interviewing (MI), supported by Internet resources, may overcome obstacles to effective obesity treatment dissemination. This study was a randomized controlled trial testing two Web-supported interventions, motivational interviewing (MIC) and nutrition psychoeducation (NPC), an attention-control intervention, in comparison with usual care (UC).

METHODS

Eighty-nine overweight/obese patients, with and without binge eating disorder (BED), were randomly assigned to MIC, NPC, or UC for 3 months in PC. Patients were assessed independently at post-treatment and at 3-month follow-up.

RESULTS

Weight, triglyceride levels, and depression scores decreased significantly in NPC when compared to UC but not MIC; UC and MIC did not differ significantly. Weight loss results maintained at 3-month follow-up: approximately 25% MIC and NPC patients achieved at least 5% weight loss which did not differ by BED status. Fidelity ratings were high and treatment adherence was associated with weight loss.

CONCLUSIONS

This is the first randomized controlled trial in PC testing MI for weight loss to include an attention-control intervention (NPC). NPC, but not MIC, showed a consistent pattern of superior benefits relative to UC. BED status was not associated, but treatment adherence was associated, with weight loss outcomes.

Lifestyle interventions for cardiovascular disease risk reduction: a systematic review of the effects of diet composition, food provision, and treatment modality on weight loss

The purpose of this systematic review was to evaluate, synthesize, and interpret findings from recent randomized controlled trials (RCTs) of dietary and lifestyle weight loss interventions examining the effects of (1) diet composition, (2) use of food provision, and (3) modality of treatment delivery on weight loss. Trials comparing different dietary approaches indicated that reducing carbohydrate intake promoted greater initial weight loss than other approaches but did not appear to significantly improve long-term outcomes. Food provision appears to enhance adherence to reduction in energy intake and produce greater initial weight losses. The long-term benefits of food provision are less clear. Trials comparing alternative treatment modalities suggest that phone-based treatment produce short- and long-term weight reductions equivalent to face-to-face interventions. The use of Internet and mobile technologies are associated with smaller reductions in body weight than face-to-face interventions. Based on this review, clinical implications and future research directions are provided.

The potential for motivational interviewing to improve outcomes in the management of diabetes and obesity in paediatric and adult populations: a clinical review

Having good intentions to engage in healthy behaviours, to change our lives in a positive direction and make substantial, lasting changes may not always translate into actions or behaviour that is maintained. Motivational Interviewing is a directive person-centred approach designed to explore ambivalence and activate motivation for change [Miller WR, Rollnick S. Motivational Interviewing: Preparing People to Change Addictive Behaviour. London: Guilford Press, 1991]. A key component of a motivational interviewing conversation is to acknowledge that clients have every right to make no change. It uses a guiding communication style which invites people to consider their own situation and find their own solutions to situations that they identify as problematic that are preventing change. Motivational Interviewing was first introduced in adult health addiction services in the early 1980s. It has developed in the physical health specialties, and in the last 20 years or so attention has turned to the potential of Motivational Interviewing in the paediatric setting and the challenges of using it in families with children at differing ages and developmental stages. This article summarizes studies published from 2006 to 2011 of Motivational Interviewing in individuals across the lifespan with type 1 and type 2 diabetes and obesity.

Self-directed interventions to promote weight loss: a systematic review of reviews

Background

A wide range of self-directed weight-loss interventions are available, providing users with a variety of tools delivered through various formats to regulate weight-related behavior patterns. However, it is unclear how effective self-directed interventions are and how they promote weight loss and weight maintenance.

Objective

A systematic review of reviews was conducted to examine the effectiveness of such interventions and to identify intervention content associated with effectiveness.

Methods

MEDLINE, Embase, PsycINFO, CINAHL, and the Cochrane Library for systematic reviews were searched from 2000-2012 for reviews of the effectiveness of self-directed interventions on weight loss and weight maintenance in adults. Two reviewers used predefined inclusion criteria to select relevant reviews and assess their quality using the Overview Quality Assessment Questionnaire (OQAQ). We extracted data on effectiveness and on relationships between intervention characteristics and effectiveness.

Results

Twenty reviews were included and quality assessed. Findings relevant to self-directed interventions, including interactive websites, smartphone applications, and text messaging (short message service, SMS) were summarized. Findings were mixed but promising. For example, one review of Internet-based interventions found that, when used in conjunction with standard weight loss programs, these interventions resulted in a significant average increase in weight loss of 1.5 kg over evaluation periods. Unfortunately, only 7 of 20 reviews were of high methodological quality according to OQAQ scores, and only 4 employed meta-analyses. Few reviews linked intervention content to effectiveness.

Conclusions

Current evidence suggests that self-directed interventions can independently promote weight loss and can augment interventions involving personal contact. Particular change techniques and delivery modes including individualized feedback, email counseling, and online social support appear to enhance effectiveness. Further reviews of the content of self-directed weight-loss intervention studies are needed to clarify which change techniques delivered through which delivery formats optimize intervention effectiveness.

Systematic literature review of Internet interventions across health behaviors

Purpose: This review examines Internet interventions aiming to change health behaviors in the general population. Methods: Internet health interventions in the USA published between January 2005 and December 2013 were identified through Medline and CINAHL. Keywords used were (Internet or e-health or social media or web) paired with (intervention or program*). A total of 38 articles met all criteria and were reviewed. Results: Studies were analyzed by targeted health behavior interventions: tobacco (5), alcohol (4), weight loss (7), physical activity (PA) (7), nutrition (2), PA and nutrition combined (5), HIV or sexual health (4), and chronic diseases (4). Interventions ranged from one session to 24  weeks (average 6-12 weeks). Common strategies used, including web-based information, tailored feedback, weekly e-mails, goal setting, and self-assessment. Social cognitive theory and the transtheoretical models were the most commonly used frameworks. Recruitment strategies were typically media based varied by settings and populations. Except for the tobacco interventions, the majority studies yielded significant outcomes. Conclusion: This review provides updates and synthesized knowledge on the design and consistent effectiveness of Internet interventions across health behaviors. Results have implications for public health and healthcare professionals, as they play a key role in developing and delivering health promotion interventions as well as in assisting the communities and clients serviced obtaining evidence-based health information.

The role of social media in online weight management: systematic review

BACKGROUND

Social media applications are promising adjuncts to online weight management interventions through facilitating education, engagement, and peer support. However, the precise impact of social media on weight management is unclear.

OBJECTIVE

The objective of this study was to systematically describe the use and impact of social media in online weight management interventions.

METHODS

PubMed, PsycINFO, EMBASE, Web of Science, and Scopus were searched for English-language studies published through March 25, 2013. Additional studies were identified by searching bibliographies of electronically retrieved articles. Randomized controlled trials of online weight management interventions that included a social media component for individuals of all ages were selected. Studies were evaluated using 2 systematic scales to assess risk of bias and study quality.

RESULTS

Of 517 citations identified, 20 studies met eligibility criteria. All study participants were adults. Because the included studies varied greatly in study design and reported outcomes, meta-analysis of interventions was not attempted. Although message boards and chat rooms were the most common social media component included, their effect on weight outcomes was not reported in most studies. Only one study measured the isolated effect of social media. It found greater engagement of participants, but no difference in weight-related outcomes. In all, 65% of studies were of high quality; 15% of studies were at low risk of bias.

CONCLUSIONS

Despite the widespread use of social media, few studies have quantified the effect of social media in online weight management interventions; thus, its impact is still unknown. Although social media may play a role in retaining and engaging participants, studies that are designed to measure its effect are needed to understand whether and how social media may meaningfully improve weight management.

Weight loss social support in 140 characters or less: use of an online social network in a remotely delivered weight loss intervention

Little is known about how online social networking can help enhance weight loss. To examine the types of online social support utilized in a behavioral weight loss intervention and relationship of posting and weight loss. A sub-analysis of the content and number of posts to Twitter among participants (n = 47) randomized to a mobile, social network arm as part of a 6-month trial among overweight adults, examining weight loss, use of Twitter, and type of social support (informational, tangible assistance, esteem, network, and emotional support). A number of Twitter posts were related to % weight loss at 6 months (p < 0.001). Initial reported weight loss predicted engagement with Twitter (p < 0.01) but prior Twitter use or initial Twitter engagement did not. Most Twitter posts (total posts n = 2,630) were Informational support (n = 1,981; 75 %), with the predominant subtype of Teaching (n = 1,632; 62 %), mainly in the form of a status update (n = 1,319). Engagement with Twitter was related to weight loss and participants mainly used Twitter to provide Information support to one another through status updates.

A pilot Internet-based behavioral weight loss intervention with or without commercially available portion-controlled foods

OBJECTIVE

To evaluate the short-term impact of portion-controlled food provision in combination with an Internet behavioral weight loss program on weight, blood cholesterol, and blood glucose levels.

DESIGN AND METHODS

Fifty participants, mean age 46 ± 10.7 years and mean body mass index 35.1 ± 3.8 kg/m2 , were randomized to one of two study groups, an Internet behavioral weight loss program (Internet-alone; n = 25) or an Internet behavioral weight loss program plus a commercially available portion-controlled diet (Internet + PCD; n = 25) for 12 weeks.

RESULTS

An intent-to-treat analysis found that the mean weight change in the Internet + PCD group was -5.7 ± 5.6 kg and in the Internet-alone group (n = 25) was -4.1 ± 4.0 kg (P = 0.26). Participants in the Internet + PCD group achieved significantly greater improvements in blood glucose (-2.6 ± 5.7 vs. 1.4 ± 11.0 mg/dl; P = 0.05) and LDL cholesterol (-8.2 ± 18.0 vs. -0.6 ± 21.0 mg/dl; P = 0.04), compared with Internet-alone group.

CONCLUSIONS

These data suggest that there may be short-term clinical benefit in using a PCD in conjunction with a behavioral Internet-based weight loss program to enhance weight loss and improve health indicators.

Efficacy of standard versus enhanced features in a Web-based commercial weight-loss program for obese adults, part 2: randomized controlled trial

BACKGROUND

Commercial Web-based weight-loss programs are becoming more popular and increasingly refined through the addition of enhanced features, yet few randomized controlled trials (RCTs) have independently and rigorously evaluated the efficacy of these commercial programs or additional features.

OBJECTIVE

To determine whether overweight and obese adults randomized to an online weight-loss program with additional support features (enhanced) experienced a greater reduction in body mass index (BMI) and increased usage of program features after 12 and 24 weeks compared to those randomized to a standard online version (basic).

METHODS

An assessor-blinded RCT comparing 301 adults (male: n=125, 41.5%; mean age: 41.9 years, SD 10.2; mean BMI: 32.2 kg/m(2), SD 3.9) who were recruited and enrolled offline, and randomly allocated to basic or enhanced versions of a commercially available Web-based weight-loss program for 24 weeks.

RESULTS

Retention at 24 weeks was greater in the enhanced group versus the basic group (basic 68.5%, enhanced 81.0%; P=.01). In the intention-to-treat analysis of covariance with imputation using last observation carried forward, after 24 weeks both intervention groups had reductions in key outcomes with no difference between groups: BMI (basic mean -1.1 kg/m(2), SD 1.5; enhanced mean -1.3 kg/m(2), SD 2.0; P=.29), weight (basic mean -3.3 kg, SD 4.7; enhanced mean -4.0 kg, SD 6.2; P=.27), waist circumference (basic mean -3.1 cm, SD 4.6; enhanced mean -4.0 cm, SD 6.2; P=.15), and waist-to-height ratio (basic mean -0.02, SD 0.03; enhanced mean -0.02, SD 0.04, P=.21). The enhanced group logged in more often at both 12 and 24 weeks, respectively (enhanced 12-week mean 34.1, SD 28.1 and 24-week mean 43.1, SD 34.0 vs basic 12-week mean 24.6, SD 25.5 and 24-week mean 31.8, SD 33.9; P=.002).

CONCLUSIONS

The addition of personalized e-feedback in the enhanced program provided limited additional benefits compared to a standard commercial Web-based weight-loss program. However, it does support greater retention in the program and greater usage, which was related to weight loss. Further research is required to develop and examine Web-based features that may enhance engagement and outcomes and identify optimal usage patterns to enhance weight loss using Web-based programs.

TRIAL REGISTRATION

Australian New Zealand Clinical Trials Registry (ANZCTR) trial number: ACTRN12610000197033; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=335159 (Archived by WebCite at http://www.webcitation.org/6HoOMGb8j).

A virtual community: concerns of patients with pulmonary hypertension

Pulmonary Hypertension (PH) is a complex disorder characterized by elevated pressures in the pulmonary artery that cause right heart failure and eventually leads to death. Treatment regimens can be complex and mortality is high. The purpose of this study was to determine how people with PH are using an online Discussion Board. Qualitative descriptive methodology was used to analyze a convenience sample of self-identified patients with PH. Internet posts to an online Discussion Board from January 1, 2010 to December 31, 2010 were analyzed for common themes. Five hundred forty-nine individuals with PH posted to the Discussion Board. Four themes emerged: Uncertainty and Concern, Guidance and Validation, Support, and Refocusing Life. People with PH are using the Internet to answer questions about PH and seeking support. Future research needs to be conducted to further explore the needs and concerns of people with PH to provide tailored interventions.

Interactive computer-based interventions for weight loss or weight maintenance in overweight or obese people

BACKGROUND

The World Health Organization (WHO) estimates that the number of obese or overweight individuals worldwide will increase to 1.5 billion by 2015. Chronic diseases associated with overweight or obesity include diabetes, heart disease, hypertension and stroke.

OBJECTIVES

To assess the effects of interactive computer-based interventions for weight loss or weight maintenance in overweight or obese people.

SEARCH METHODS

We searched several electronic databases, including CENTRAL, MEDLINE, EMBASE, CINAHL, LILACS and PsycINFO, through 25 May 2011. We also searched clinical trials registries to identify studies. We scanned reference lists of included studies and relevant systematic reviews.

SELECTION CRITERIA

Studies were included if they were randomized controlled trials or quasi-randomized controlled trials that evaluated interactive computer-based weight loss or weight maintenance programs in adults with overweight or obesity. We excluded trials if the duration of the intervention was less than four weeks or the loss to follow-up was greater than 20% overall.

DATA COLLECTION AND ANALYSIS

Two authors independently extracted study data and assessed risk of bias. Where interventions, control conditions, outcomes and time frames were similar between studies, we combined study data using meta-analysis.

MAIN RESULTS

We included 14 weight loss studies with a total of 2537 participants, and four weight maintenance studies with a total of 1603 participants. Treatment duration was between four weeks and 30 months. At six months, computer-based interventions led to greater weight loss than minimal interventions (mean difference (MD) -1.5 kg; 95% confidence interval (CI) -2.1 to -0.9; two trials) but less weight loss than in-person treatment (MD 2.1 kg; 95% CI 0.8 to 3.4; one trial). At six months, computer-based interventions were superior to a minimal control intervention in limiting weight regain (MD -0.7 kg; 95% CI -1.2 to -0.2; two trials), but not superior to infrequent in-person treatment (MD 0.5 kg; 95% -0.5 to 1.6; two trials). We did not observe consistent differences in dietary or physical activity behaviors between intervention and control groups in either weight loss or weight maintenance trials. Three weight loss studies estimated the costs of computer-based interventions compared to usual care, however two of the studies were 11 and 28 years old, and recent advances in technology render these estimates unlikely to be applicable to current or future interventions, while the third study was conducted in active duty military personnel, and it is unclear whether the costs are relevant to other settings. One weight loss study reported the cost-effectiveness ratio for a weekly in-person weight loss intervention relative to a computer-based intervention as USD 7177 (EUR 5678) per life year gained (80% CI USD 3055 to USD 60,291 (EUR 2417 to EUR 47,702)). It is unclear whether this could be extrapolated to other studies. No data were identified on adverse events, morbidity, complications or health-related quality of life.

AUTHORS' CONCLUSIONS

Compared to no intervention or minimal interventions (pamphlets, usual care), interactive computer-based interventions are an effective intervention for weight loss and weight maintenance. Compared to in-person interventions, interactive computer-based interventions result in smaller weight losses and lower levels of weight maintenance. The amount of additional weight loss, however, is relatively small and of brief duration, making the clinical significance of these differences unclear.

Use of email and telephone prompts to increase self-monitoring in a Web-based intervention: randomized controlled trial

BACKGROUND

Self-monitoring is a key behavior change mechanism associated with sustained health behavior change. Although Web-based interventions can offer user-friendly approaches for self-monitoring, engagement with these tools is suboptimal. Increased use could encourage, promote, and sustain behavior change.

OBJECTIVE

To determine whether email prompts or email plus telephone prompts increase self-monitoring of behaviors on a website created for a multiple cancer risk reduction program.

METHODS

We recruited and enrolled participants (N = 100) in a Web-based intervention during a primary care well visit at an urban primary care health center. The frequency of daily self-monitoring was tracked on the study website. Participants who tracked at least one behavior 3 or more times during week 1 were classified as meeting the tracking threshold and were assigned to the observation-only group (OO, n = 14). This group was followed but did not receive prompts. Participants who did not meet the threshold during week 1 were randomly assigned to one of 2 prompting conditions: automated assistance (AA, n = 36) or automated assistance + calls (AAC, n = 50). During prompting periods (weeks 2-3), participants in the AA and AAC conditions received daily automated emails that encouraged tracking and two tailored self-monitoring reports (end of week 2, end of week 3) that provided feedback on tracking frequency. Individuals in the AAC condition also received two technical assistance calls from trained study staff. Frequency of self-monitoring was tracked from week 2 through week 17.

RESULTS

Self-monitoring rates increased in both intervention conditions during prompting and declined when prompting ceased. Over the 16 weeks of observation, there was a significant between-group difference in the percentage who met the self-monitoring threshold each week, with better maintenance in the AAC than in the AA condition (P < .001). Self-monitoring rates were greater in the OO group than in either the AA or AAC condition (P < .001).

CONCLUSIONS

Prompting can increase self-monitoring rates. The decrease in self-monitoring after the promoting period suggests that additional reminder prompts would be useful. The use of technical assistance calls appeared to have a greater effect in promoting self-monitoring at a therapeutic threshold than email reminders and the tailored self-monitoring reports alone.

TRIAL REGISTRATION

ClinicalTrials.gov NCT01415492; http://clinicaltrials.gov/ct2/show/NCT01415492 (Archived by WebCite at http://www.webcitation.org/68LOXOMe2).

A 12-week commercial web-based weight-loss program for overweight and obese adults: randomized controlled trial comparing basic versus enhanced features

BACKGROUND

The development and use of Web-based programs for weight loss is increasing rapidly, yet they have rarely been evaluated using randomized controlled trials (RCTs). Interestingly, most people who attempt weight loss use commercially available programs, yet it is very uncommon for commercial programs to be evaluated independently or rigorously.

OBJECTIVE

To compare the efficacy of a standard commercial Web-based weight-loss program (basic) versus an enhanced version of this Web program that provided additional personalized e-feedback and contact from the provider (enhanced) versus a wait-list control group (control) on weight outcomes in overweight and obese adults.

METHODS

This purely Web-based trial using a closed online user group was an assessor-blinded RCT with participants randomly allocated to the basic or enhanced 12-week Web-based program, based on social cognitive theory, or the control, with body mass index (BMI) as the primary outcome.

RESULTS

We enrolled 309 adults (129/309, 41.8% male, BMI mean 32.3, SD 4 kg/m(2)) with 84.1% (260/309) retention at 12 weeks. Intention-to-treat analysis showed that both intervention groups reduced their BMI compared with the controls (basic: -0.72, SD 1.1 kg/m(2), enhanced: -1.0, SD 1.4, control: 0.15, SD 0.82; P < .001) and lost significant weight (basic: -2.1, SD 3.3 kg, enhanced: -3.0, SD 4.1, control: 0.4, SD 2.3; P < .001) with changes in waist circumference (basic: -2.0, SD 3.5 cm, enhanced: -3.2, SD 4.7, control: 0.5, SD 3.0; P < .001) and waist-to-height ratio (basic: -0.01, SD 0.02, enhanced: -0.02, SD 0.03, control: 0.0, SD 0.02; P < .001), but no differences were observed between the basic and enhanced groups. The addition of personalized e-feedback and contact provided limited additional benefits compared with the basic program.

CONCLUSIONS

A commercial Web-based weight-loss program can be efficacious across a range of weight-related outcomes and lifestyle behaviors and achieve clinically important weight loss. Although the provision of additional personalized feedback did not facilitate greater weight loss after 12 weeks, the impact of superior participant retention on longer-term outcomes requires further study. Further research is required to determine the optimal mix of program features that lead to the biggest treatment impact over time.

TRIAL REGISTRATION

Australian New Zealand Clinical Trials Registry (ANZCTR): 12610000197033.

Tweets, Apps, and Pods: Results of the 6-month Mobile Pounds Off Digitally (Mobile POD) randomized weight-loss intervention among adults

BACKGROUND

Previous interventions have shown promising results using theory-based podcasts to deliver a behavioral weight-loss intervention.

OBJECTIVE

The objective of our study was to examine whether a combination of podcasting, mobile support communication, and mobile diet monitoring can assist people in weight loss.

METHODS

In this 6-month, minimal contact intervention, overweight (n = 96, body mass index 32.6 kg/m(2)) adults were recruited through television advertisements and email listservs and randomly assigned to Podcast-only or Podcast+Mobile groups. Both groups received 2 podcasts per week for 3 months and 2 minipodcasts per week for months 3-6. In addition to the podcasts, the Podcast+Mobile group was also instructed to use a diet and physical activity monitoring application (app) on their mobile device and to interact with study counselors and other participants on Twitter.

RESULTS

Weight loss did not differ by group at 6 months: mean -2.7% (SD 5.6%) Podcast+Mobile, n = 47; mean -2.7% (SD 5.1%) Podcast, n = 49; P = .98. Days/week of reported diet monitoring did not differ between Podcast+Mobile (mean 2.3, SD 1.9 days/week) and Podcast groups (mean 1.9, SD 1.7 days/week; P = .28) but method of monitoring did differ. Podcast+Mobile participants were 3.5 times more likely than the Podcast group to use an app to monitor diet (P = .01), whereas the majority of Podcast participants reported using the Web (14/41, 34%) or paper (12/41, 29%). There were more downloads per episode in the Podcast+Mobile group (1.4/person) than in the Podcast group (1.1/person; P < .001). The number of podcasts participants reported downloading over the 6-month period was significantly moderately correlated with weight loss in both the Podcast+Mobile (r = -.46, P = .001) and the Podcast (r = -.53, P < .001) groups. Podcast+Mobile participants felt more user control at 3 months (P = .02), but not at 6 months, and there was a trend (P = .06) toward greater elaboration among Podcast+Mobile participants. There were significant differences in reported source of social support between groups. More Podcast participants relied on friends (11/40, 28% vs 4/40, 10%; P = .045) whereas Podcast+Mobile participants relied on online sources (10/40, 25% vs 0/40; P = .001).

CONCLUSIONS

Results confirm and extend previous findings showing a minimally intensive weight-loss intervention can be delivered via podcast, but prompting and mobile communication via Twitter and monitoring app without feedback did not enhance weight loss.

TRIAL REGISTRATION

Clinicaltrials.gov NCT01139255; http://clinicaltrials.gov/ct2/show/NCT01139255 (Archived by WebCite at http://www.webcitation.org/625OjhiDy).

Computerized self-monitoring and technology-assisted feedback for weight loss with and without an enhanced behavioral component

OBJECTIVE

The purpose of this study was to develop and evaluate a 12-week weight management intervention involving computerized self-monitoring and technology-assisted feedback with and without an enhanced behavioral component.

METHODS

120 overweight (30.5±2.6kg/m(2)) adults (45.0±10.3 years) were randomized to one of three groups: computerized self-monitoring with Basic feedback (n=45), Enhanced behavioral feedback (n=45), or wait-list control (n=30). Intervention participants used a computer software program to record dietary and physical activity information. Weekly e-mail feedback was based on computer-generated reports, and participants attended monthly measurement visits.

RESULTS

The Basic and Enhanced groups experienced significant weight reduction (-2.7±3.3kg and -2.5±3.1kg) in comparison to the Control group (0.3±2.2; p<0.05). Waist circumference and systolic blood pressure also decreased in intervention groups compared to Control (p<0.01).

CONCLUSIONS

A program using computerized self-monitoring, technology-assisted feedback, and monthly measurement visits produced significant weight loss after 12 weeks. However, the addition of an enhanced behavioral component did not improve the effectiveness of the program.

PRACTICE IMPLICATIONS

This study suggests that healthcare professionals can effectively deliver a weight management intervention using technology-assisted strategies in a format that may complement and reduce face-to-face sessions.

Motivational interviewing for weight loss

MI is a patient-centered directive counseling style that aims to facilitate patients' likelihood of making behavior change through the exploration and strengthening of personal motivations. Hallmarks of MI include a collaborative relationship between patient and practitioner, a focus on the elicitation and enhancement of change talk, a nonconfrontational style, and a concerted effort to minimize resistance. MI has been applied to a variety of health-related behaviors, and a growing body of research suggests that this approach may be useful in the context of behavioral weight management. Although results are not uniform, the majority of research suggests that MI delivered as an independent component in addition to a behavioral weight loss program can augment weight loss and likely exerts its beneficial effects through enhancement of treatment engagement and adherence to behavioral recommendations. Furthermore, preliminary research suggests that MI may be helpful in promoting weight maintenance after an initial loss has been achieved. Given that behavioral weight management is a relatively new application of MI, a variety of issues merit further investigation. Of particular interest are issues related to the type and extent of provider training necessary to ensure adequate skill development, cost-effectiveness of MI, and translational research to determine the feasibility and effectiveness of incorporating MI strategies into real-world weight loss settings.

Weight change in a commercial web-based weight loss program and its association with website use: cohort study

BACKGROUND

There is a paucity of information in the scientific literature on the effectiveness of commercial weight loss programs, including Web-based programs. The potential of Web-based weight loss programs has been acknowledged, but their ability to achieve significant weight loss has not been proven.

OBJECTIVE

The objectives were to evaluate the weight change achieved within a large cohort of individuals enrolled in a commercial Web-based weight loss program for 12 or 52 weeks and to describe participants' program use in relation to weight change.

METHOD

Participants enrolled in an Australian commercial Web-based weight loss program from August 15, 2007, through May 31, 2008. Self-reported weekly weight records were used to determine weight change after 12- and 52-week subscriptions. The primary analysis estimated weight change using generalized linear mixed models (GLMMs) for all participants who subscribed for 12 weeks and also for those who subscribed for 52 weeks. A sensitivity analysis was conducted using the last observation carried forward (LOCF) method. Website use (ie, the number of days participants logged on, made food or exercise entries to the Web-based diary, or posted to the discussion forum) was described from program enrollment to 12 and 52 weeks, and differences in website use by percentage weight change category were tested using Kruskal-Wallis test for equality of populations.

RESULTS

Participants (n = 9599) had a mean (standard deviation [SD]) age of 35.7 (9.5) years and were predominantly female (86% or 8279/9599) and obese (61% or 5866/9599). Results from the primary GLMM analysis including all enrollees found the mean percentage weight change was -6.2% among 12-week subscribers (n = 6943) and -6.9% among 52-week subscribers (n = 2656). Sensitivity analysis using LOCF revealed an average weight change of -3.0% and -3.5% after 12 and 52 weeks respectively. The use of all website features increased significantly (P < .01) as percentage weight change improved.

CONCLUSIONS

The weight loss achieved by 12- and 52-week subscribers of a commercial Web-based weight loss program is likely to be in the range of the primary and sensitivity analysis results. While this suggests that, on average, clinically important weight loss may be achieved, further research is required to evaluate the efficacy of this commercial Web-based weight loss program prospectively using objective measures. The potential association between greater website use and increased weight loss also requires further evaluation, as strategies to improve participants' use of Web-based program features may be required.

A systematic review of the impact of adherence on the effectiveness of e-therapies

BACKGROUND

As the popularity of e-therapies grows, so too has the body of literature supporting their effectiveness. However, these interventions are often plagued by high attrition rates and varying levels of user adherence. Understanding the role of adherence may be crucial to understanding how program usage influences the effectiveness of e-therapy interventions.

OBJECTIVE

The aim of this study was to systematically review the e-therapy literature to (1) describe the methods used to assess adherence and (2) evaluate the association of adherence with outcome of these interventions.

METHODS

A systematic review of e-therapy interventions was conducted across disease states and behavioral targets. Data were collected on adherence measures, outcomes, and analyses exploring the relationship between adherence measures and outcomes.

RESULTS

Of 69 studies that reported an adherence measure, only 33 (48%) examined the relationship between adherence and outcomes. The number of logins was the most commonly reported measure of adherence, followed by the number of modules completed. The heterogeneity of adherence and outcome measures limited analysis. However, logins appeared to be the measure of adherence most consistently related to outcomes in physical health interventions, while module completion was found to be most related to outcomes in psychological health interventions.

CONCLUSIONS

There is large variation in the reporting of adherence and the association of adherence with outcomes. A lack of agreement about how best to measure adherence is likely to contribute to the variation in findings. Physical and psychological outcomes seem influenced by different types of adherence. A composite measure encompassing time online, activity completion, and active engagements with the intervention may be the best measure of adherence. Further research is required to establish a consensus for measuring adherence and to understand the role of adherence in influencing outcomes.

Directive and nondirective e-coach support for weight loss in overweight adults

BACKGROUND

Although e-coach support increases the effectiveness of Internet weight loss interventions, no studies have assessed influence of type of e-coach support.

PURPOSE

The effects of nondirective (collaborative, flexible) and directive (prescriptive, protocol driven) e-coach support on weight loss, dietary behavior, physical activity, and engagement were assessed in a 12-week weight loss e-coaching program.

PROCEDURES

Overweight adults (N = 104) were randomly assigned to nondirective, directive, or minimal support. All received weekly lessons and feedback graphs via e-mail. Participants in the nondirective and directive support conditions received individualized nondirective or directive weight loss support.

RESULTS

For females, weight loss (η(2) = 0.10) and changes in waist circumference (η(2) = 0.07) were greater in the directive than in the nondirective and minimal support conditions.

CONCLUSIONS

Differences in type of e-coach support are salient to participants. Directive support is beneficial to females in a 12-week e-coach weight loss program.

A review of efficacious technology-based weight-loss interventions: five key components

OBJECTIVE

Obesity is highly prevalent among American adults and has negative health and psychosocial consequences. The purpose of this article was to qualitatively review studies that used technology-based interventions for weight loss and to identify specific components of these interventions that are effective in facilitating weight loss.

MATERIALS AND METHODS

We conducted a narrow, qualitative review, focusing on articles published in the last 10 years that used an experimental or pre/posttest design and used a technology-based intervention for weight loss.

RESULTS

Among the 21 studies reviewed, we identified the following five components that we consider to be crucial in technology-based weight-loss interventions that are successful in facilitating weight loss: self monitoring, counselor feedback and communication, social support, use of a structured program, and use of an individually tailored program.

CONCLUSIONS

Short-term results of technologically driven weight-loss interventions using these components have been promising, but long-term results have been mixed. Although more longitudinal studies are needed for interventions implementing these five components, the interface of technology and behavior change is an effective foundation of a successful, short-term weight-loss program and may prove to be the basis of long-term weight loss.