Physical activity and exercise self-regulation in cancer survivors: A qualitative study

OBJECTIVE

Despite the benefits of physical activity, many cancer survivors do not adhere to clinically recommended levels. This qualitative study investigated factors of self-regulation contributing to survivor physical activity patterns.

METHODS

Participants attended focus groups with prompts on exercise habits and self-regulation on the basis of social cognitive theory, self-determination theory, and self-regulation theory. Content analysis with a priori codes was conducted to identify emergent themes.

RESULTS

Participants (n = 35) were predominately older (63.7 y ± 10.8), female (69%), white (71%), and breast cancer (60%) survivors, with 41% not meeting activity guidelines. Emergent themes included exercise goal development, selection, and attainment; exercise planning; and self-reward. Participants tended to develop values-based, general goals rather than action-based, measurable goals. Goal attainment success emerged as a facilitator of future goal performance; completing a current goal facilitated subsequent goal attainment, while failure hindered future goal completion. Rather than having deliberate intentions to schedule exercise, participants exercised if expedient in the context of normal daily activities. Food consumption emerged as a major mechanism for self-reward.

CONCLUSIONS

Our findings suggest that values-based goals, unplanned activity, influence from previous goal attempts, and self-reward were important factors related to self-regulation. Interventions designed to improve self-regulation may consider facilitating development of autonomous, value-based goals, assisting in development of strategies for future goals if current goals are not met, endorsing exercise as a scheduled activity, and introducing healthy self-reward alternatives.

Effect of Home- and Community-Based Physical Activity Interventions on Physical Function Among Cancer Survivors: A Systematic Review and Meta-Analysis

OBJECTIVE

To examine the effect of home- and community-based physical activity interventions on physical functioning among cancer survivors based on the most prevalent physical function measures, randomized trials were reviewed.

DATA SOURCES

Five electronic databases-Medline Ovid, PubMed, CINAHL, Web of Science, and PsycINFO-were searched from inception to March 2016 for relevant articles.

STUDY SELECTION

Search terms included community-based interventions, physical functioning, and cancer survivors. A reference librarian trained in systematic reviews conducted the final search.

DATA EXTRACTION

Four reviewers evaluated eligibility and 2 reviewers evaluated methodological quality. Data were abstracted from studies that used the most prevalent physical function measurement tools-Medical Outcomes Study 36-Item Short-Form Health Survey, Late-Life Function and Disability Instrument, European Organisation for the Research and Treatment of Cancer Quality-of-Life Questionnaire, and 6-minute walk test. Random- or fixed-effects models were conducted to obtain overall effect size per physical function measure.

DATA SYNTHESIS

Fourteen studies met inclusion criteria and were used to compute standardized mean differences using the inverse variance statistical method. The median sample size was 83 participants. Most of the studies (n=7) were conducted among breast cancer survivors. The interventions produced short-term positive effects on physical functioning, with overall effect sizes ranging from small (.17; 95% confidence interval [CI], .07-.27) to medium (.45; 95% CI, .23-.67). Community-based interventions that met in groups and used behavioral change strategies produced the largest effect sizes.

CONCLUSIONS

Home and community-based physical activity interventions may be a potential tool to combat functional deterioration among aging cancer survivors. More studies are needed among other cancer types using clinically relevant objective functional measures (eg, gait speed) to accelerate translation into the community and clinical practice.

Feasibility and Acceptability of a Wearable Technology Physical Activity Intervention With Telephone Counseling for Mid-Aged and Older Adults: A Randomized Controlled Pilot Trial

Background

As adults age, their physical activity decreases and sedentary behavior increases, leading to increased risk of negative health outcomes. Wearable electronic activity monitors have shown promise for delivering effective behavior change techniques. However, little is known about the feasibility and acceptability of non-Fitbit wearables (Fitbit, Inc, San Francisco, California) combined with telephone counseling among adults aged more than 55 years.

Objective

The purpose of our study was to determine the feasibility, acceptability, and effect on physical activity of an intervention combining a wearable physical activity monitor, tablet device, and telephone counseling among adults aged 55-79 years.

Methods

Adults (N=40, aged 55-79 years, body mass index=25-35, <60 min of activity per week) were randomized to receive a 12-week intervention or to a wait list control. Intervention participants received a Jawbone Up24 monitor, a tablet with the Jawbone Up app installed, and brief weekly telephone counseling. Participants set daily and weekly step goals and used the monitor’s idle alert to notify them when they were sedentary for more than 1 h. Interventionists provided brief counseling once per week by telephone. Feasibility was measured using observation and study records, and acceptability was measured by self-report using validated items. Physical activity and sedentary time were measured using ActivPAL monitors following standard protocols. Body composition was measured using dual-energy x-ray absorptiometry scans, and fitness was measured using a 6-min walk test.

Results

Participants were 61.48 years old (SD 5.60), 85% (34/40) female, 65% (26/40) white. Average activity monitor wear time was 81.85 (SD 3.73) of 90 days. Of the 20 Up24 monitors, 5 were reported broken and 1 lost. No related adverse events were reported. Acceptability items were rated at least 4 on a scale of 1-5. Effect sizes for most outcomes were small, including stepping time per day (d=0.35), steps per day (d=0.26), sitting time per day (d=0.21), body fat (d=0.17), and weight (d=0.33).

Conclusions

The intervention was feasible and acceptable in this population. Effect sizes were similar to the sizes found using other wearable electronic activity monitors, indicating that when combined with telephone counseling, wearable activity monitors are a potentially effective tool for increasing physical activity and decreasing sedentary behavior.

Trial registration

Clinicaltrials.gov NCT01869348; https://clinicaltrials.gov/ct2/show/NCT01869348 (Archived by WebCite at http://www.webcitation.org/6odlIolqy)

Mobile Health Physical Activity Intervention Preferences in Cancer Survivors: A Qualitative Study

Background

Cancer survivors are at an elevated risk for several negative health outcomes, but physical activity (PA) can decrease those risks. Unfortunately, adherence to PA recommendations among survivors is low. Fitness mobile apps have been shown to facilitate the adoption of PA in the general population, but there are limited apps specifically designed for cancer survivors. This population has unique needs and barriers to PA, and most existing PA apps do not address these issues. Moreover, incorporating user preferences has been identified as an important priority for technology-based PA interventions, but at present there is limited literature that serves to establish these preferences in cancer survivors. This is especially problematic given the high cost of app development and because the majority of downloaded apps fail to engage users over the long term.

Objective

The aim of this study was to take a qualitative approach to provide practical insight regarding this population’s preferences for the features and messages of an app to increase PA.

Methods

A total of 35 cancer survivors each attended 2 focus groups; a moderator presented slide shows on potential app features and messages and asked open-ended questions to elicit participant preferences. All sessions were audio recorded and transcribed verbatim. Three reviewers independently conducted thematic content analysis on all transcripts, then organized and consolidated findings to identify salient themes.

Results

Participants (mean age 63.7, SD 10.8, years) were mostly female (24/35, 69%) and mostly white (25/35, 71%). Participants generally had access to technology and were receptive to engaging with an app to increase PA. Themes identified included preferences for (1) a casual, concise, and positive tone, (2) tools for personal goal attainment, (3) a prescription for PA, and (4) an experience that is tailored to the user. Participants reported wanting extensive background data collection with low data entry burden and to have a trustworthy source translate their personal data into individualized PA recommendations. They expressed a desire for app functions that could facilitate goal achievement and articulated a preference for a more private social experience. Finally, results indicated that PA goals might be best established in the context of personally held priorities and values.

Conclusions

Many of the desired features identified are compatible with both empirically supported methods of behavior change and the relative strengths of an app as a delivery vehicle for behavioral intervention. Participating cancer survivors’ preferences contrasted with many current standard practices for mobile app development, including value-based rather than numeric goals, private socialization in small groups rather than sharing with broader social networks, and interpretation of PA data rather than merely providing numerical data. Taken together, these insights may help increase the acceptability of theory-based mHealth PA interventions in cancer survivors.

Social Media and Mobile Technology for Cancer Prevention and Treatment

Given the number of lives affected by cancer and the great potential for optimizing well-being via lifestyle changes, patients, providers, health care systems, advocacy groups, and entrepreneurs are looking to digital solutions to enhance patient care and broaden prevention efforts. Thousands of health-oriented mobile websites and apps have been developed, with a majority focused upon lifestyle behaviors (e.g., exercise, diet, smoking). In this review, we consider the use and potential of social media and mHealth technologies for cancer prevention, cancer treatment, and survivorship. We identify key principles in research and practice, summarize prior reviews, and highlight notable case studies and patient resources. Further, with the potential for scaled delivery and broad reach, we consider application of social media and mHealth technologies in low-resource settings. With clear advantages for reach, social media and mHealth technologies offer the ability to scale and engage entire populations at low cost, develop supportive social networks, connect patients and providers, encourage adherence with cancer care, and collect vast quantities of data for advancing cancer research. Development efforts have been rapid and numerous, yet evaluation of intervention effects on behavior change and health outcomes are sorely needed, and regulation around data security issues is notably lacking. Attention to broader audiences is also needed, with targeted development for culturally diverse groups and non-English speakers. Further investment in research to build the evidence base and identify best practices will help delineate and actualize the potential of social media and mHealth technologies for cancer prevention and treatment.

Testing Activity Monitors' Effect on Health: Study Protocol for a Randomized Controlled Trial Among Older Primary Care Patients

BACKGROUND

Cardiovascular disease is the leading cause of mortality in the United States. Maintaining healthy levels of physical activity is critical to cardiovascular health, but many older adults are inactive. There is a growing body of evidence linking low motivation and inactivity. Standard behavioral counseling techniques used within the primary care setting strive to increase motivation, but often do not emphasize the key component of self-control. The addition of electronic activity monitors (EAMs) to counseling protocols may provide more effective behavior change and increase overall motivation for exercise through interactive self-monitoring, feedback, and social support from other users.

OBJECTIVE

The objective of the study is to conduct a three month intervention trial that will test the feasibility of adding an EAM system to brief counseling within a primary care setting. Participants (n=40) will be randomized to receive evidence-based brief counseling plus either an EAM or a pedometer.

METHODS

Throughout the intervention, we will test its feasibility and acceptability, the change in primary outcomes (cardiovascular risk and physical activity), and the change in secondary outcomes (adherence, weight and body composition, health status, motivation, physical function, psychological feelings, and self-regulation). Upon completion of the intervention, we will also conduct focus groups with the participants and with primary care stakeholders.

RESULTS

The study started recruitment in October 2015 and is scheduled to be completed by October 2016.

CONCLUSIONS

This project will lay the groundwork and establish the infrastructure for intervention refinement and ultimately translation within the primary care setting in order to prevent cardiovascular disease on a population level.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02554435; https://clinicaltrials.gov/ct2/show/NCT02554435 (Archived by WebCite at http://www.webcitation/6fUlW5tdT).

Psychometric Analysis of the Three-Factor Eating Questionnaire-R18V2 in Adolescent and Young Adult-Aged Central Nervous System Tumor Survivors

PURPOSE

Adolescent and young adult (AYA)-aged central nervous system (CNS) tumor survivors are an understudied population that is at risk of developing adverse health outcomes, such as obesity. Long-term follow-up guidelines recommend monitoring those at risk of obesity, thus motivating the need for an eating behavior questionnaire. An abbreviated online version of the Three-Factor Eating Questionnaire (TFEQ-R18v2) has been developed, but its applicability to this population is not yet known. This study investigated the instrument's factor structure and reliability in this population.

METHODS

AYA-aged CNS tumor survivors (n = 114) aged 15-39 years completed the TFEQ-R18V2 questionnaire online. Confirmatory factor analysis was used to examine the fit of the three-factor structure (uncontrollable eating, cognitive restraint, and emotional eating [EE]) and reliability (internal consistency of the TFEQ-R18v2). Associations between the three factors and body mass index (BMI) were assessed by linear regression.

RESULTS

The theorized three-factor structure was supported in our population (RMSEA = 0.056 and CFI = 0.98) and demonstrated good reliability (α of 0.81-0.93). EE (β = 0.07, 95% CI 0.02-0.13) was positively associated with BMI, whereas the other two subscale scores were not.

CONCLUSION

The TFEQ-R18v2 instrument holds promise for research and clinical use among AYA-aged CNS tumor survivors. The instrument may be a useful tool for researchers to develop tailored weight management strategies. It also may be a valuable tool for clinicians to monitor survivors who are at risk of obesity and to facilitate referral. Our results also suggest that EE in this population should be further investigated as a potential target for intervention.

Testing the effects of narrative and play on physical activity among breast cancer survivors using mobile apps: study protocol for a randomized controlled trial

Background

Physical activity reduces risk for numerous negative health outcomes, but postmenopausal breast cancer survivors do not reach recommended levels. Many interventions encourage self-monitoring of steps, which can increase physical activity in the short term. However, these interventions appear insufficient to increase motivation for sustained change. There is a need for innovative strategies to increase physical activity motivation in this population. Narratives are uniquely persuasive, and video games show promise for increasing motivation. This study will determine the effectiveness of an intervention that combines narrative and gaming to encourage sustained physical activity.

Methods/Design

SMARTGOAL (Self-Monitoring Activity: a Randomized Trial of Game-Oriented AppLications) is a randomized controlled intervention trial. The intervention period is six months, followed by a six month maintenance period. Participants (overweight, sedentary postmenopausal breast cancer survivors aged 45–75) will be randomized to a self-monitoring group or an enhanced narrative game group. The self-monitoring group will be encouraged to use a mobile application for self-monitoring and feedback and will receive 15 counseling phone calls emphasizing self-regulation. The narrative game group will be encouraged to use a mobile application that includes self-monitoring and feedback as well as a narrative-based active video game. The 15 calls for this group will emphasize concepts related to the game storyline. Counseling calls in both groups will occur weekly in months 1 – 3 and monthly in months 4 – 6. No counseling calls will occur after month 6, but both groups will be encouraged to continue using their apps. The primary outcome of the study is minutes of moderate to vigorous physical activity at six months. Other objectively measured outcomes include fitness and physical function. Self-reported outcomes include quality of life, depression, and motivation.

Discussion

This protocol will result in implementation and evaluation of two technology-based physical activity interventions among breast cancer survivors. Both interventions hold promise for broad dissemination. Understanding the potential benefit of adding narrative and game elements to interventions will provide critical information to interventionists, researchers, clinicians, and policymakers. This study is uniquely suited to investigate not just whether but how and why game elements may improve breast cancer survivors’ health.

Trial registration

clinicaltrials.gov NCT02341235 (January 9, 2015)

Electronic supplementary material

The online version of this article (doi:10.1186/s12885-016-2244-y) contains supplementary material, which is available to authorized users.

Interest in Health Behavior Intervention Delivery Modalities Among Cancer Survivors: A Cross-Sectional Study

Background

Effective, broad-reaching channels are important for the delivery of health behavior interventions in order to meet the needs of the growing population of cancer survivors in the United States. New technology presents opportunities to increase the reach of health behavior change interventions and therefore their overall impact. However, evidence suggests that older adults may be slower in their adoption of these technologies than the general population. Survivors’ interest for more traditional channels of delivery (eg, clinic) versus new technology-based channels (eg, smartphones) may depend on a variety of factors, including demographics, current health status, and the behavior requiring intervention.

Objective

The aim of this study was to determine the factors that predict cancer survivors’ interest in new technology-based health behavior intervention modalities versus traditional modalities.

Methods

Surveys were mailed to 1871 survivors of breast, prostate, and colorectal cancer. Participants’ demographics, diet and physical activity behaviors, interest in health behavior interventions, and interest in intervention delivery modalities were collected. Using path analysis, we explored the relationship between four intervention modality variables (ie, clinic, telephone, computer, and smartphone) and potential predictors of modality interest.

Results

In total, 1053 respondents to the survey (56.3% response rate); 847 provided complete data for this analysis. Delivery channel interest was highest for computer-based interventions (236/847, 27.9% very/extremely interested) and lowest for smartphone–based interventions (73/847, 8.6%), with interest in clinic-based (147/847, 17.3%) and telephone-delivered (143/847, 16.9%) falling in between. Use of other technology platforms, such as Web cameras and social networking sites, was positively predictive of interest in technology-based delivery channels. Older survivors were less likely to report interest in smartphone–based diet interventions. Physical activity, fruit and vegetable consumption, weight status, and age moderated relationships between interest in targeted intervention behavior and modality.

Conclusions

This study identified several predictors of survivor interest in various health behavior intervention delivery modalities. Overall, computer-based interventions were found to be most acceptable, while smartphones were the least. Factors related to survivors’ current technology use and health status play a role in their interest for technology-based intervention versus more traditional delivery channels. Future health behavior change research in this population should consider participants’ demographic, clinical, and lifestyle characteristics when selecting a delivery channel. Furthermore, current health behavior interventions for older cancer survivors may be best delivered over the Internet. Smartphone interventions may be feasible in the future following further adoption and familiarization by this particular population.

What's the Point?: A Review of Reward Systems Implemented in Gamification Interventions

Rewards are commonly used in interventions to change behavior, but they can inhibit development of intrinsic motivation, which is associated with long-term behavior maintenance. Gamification is a novel intervention strategy that may target intrinsic motivation through fun and enjoyment. Before the effects of gamified interventions on motivation can be determined, there must be an understanding of how gamified interventions operationalize rewards, such as point systems. The purpose of this review is to determine the prevalence of different reward types, specifically point systems, within gamified interventions. Electronic databases were searched for relevant articles. Data sources included Medline OVID, Medline PubMed, Web of Science, CINAHL, Cochrane Central, and PsycINFO. Out of the 21 articles retrieved, 18 studies described a reward system and were included in this review. Gamified interventions were designed to target a myriad of clinical outcomes across diverse populations. Rewards included points (n = 14), achievements/badges/medals (n = 7), tangible rewards (n = 7), currency (n = 4), other unspecified rewards (n = 3), likes (n = 2), animated feedback (n = 1), and kudos (n = 1). Rewards, and points in particular, appear to be a foundational component of gamified interventions. Despite their prevalence, authors seldom described the use of noncontingent rewards or how the rewards interacted with other game features. The reward systems relying on tangible rewards and currency may have been limited by inhibited intrinsic motivation. As gamification proliferates, future research should explicitly describe how rewards were operationalized in the intervention and evaluate the effects of gamified rewards on motivation across populations and research outcomes.

Using an electronic activity monitor system as an intervention modality: A systematic review

BACKGROUND

Obesity is a growing global health concern that may lead to cardiovascular disease, type II diabetes, and cancer. Several systematic reviews have shown that technology is successful in combating obesity through increased physical activity, but there is no known review on interventions that use an electronic activity monitor system (EAMS). EAMSs are defined as a wearable device that objectively measures lifestyle physical activity and can provide feedback, beyond the display of basic activity count information, via the monitor display or through a partnering application to elicit continual self-monitoring of activity behavior. These devices improve upon standard pedometers because they have the ability to provide visual feedback on activity progression, verbal encouragement, and social comparison. This systematic review aimed to synthesize the efficacy and feasibility results of EAMSs within published physical activity interventions.

METHODS

Electronic databases and journal references were searched for relevant articles. Data sources included CINAHL, Cochrane CENTRAL, Medline Ovid, PsycINFO, and clinicaltrials.gov. Out of the 1,574 retrieved, 11 articles met the inclusion criteria. These articles were reviewed for quality and content based on a risk of bias tool and intervention components.

RESULTS

Most articles were determined to be of medium quality while two were of low quality, and one of high quality. Significant pre-post improvements in the EAMS group were found in five of nine studies for physical activity and in four of five studies for weight. One found a significant increase in physical activity and two studies found significant weight loss in the intervention group compared with the comparator group. The EAMS interventions appear to be feasible with most studies reporting continual wear of the device during waking hours and a higher retention rate of participants in the EAMS groups.

CONCLUSION

These studies provide preliminary evidence suggesting that EAMS can increase physical activity and decrease weight significantly, but their efficacy compared to other interventions has not yet been demonstrated. More high-quality randomized controlled trials are needed to evaluate the overall effect of EAMS, examine which EAMS features are most effective, and determine which populations are most receptive to an EAMS.

Interactive video game cycling leads to higher energy expenditure and is more enjoyable than conventional exercise in adults

Background

Despite the widely accepted health benefits of regular physical activity, only a small percentage of the population meets the current recommendations. The reasons include a wide use of technology and a lack of enjoyment while exercising. The purpose of this study was to compare the physiological, perceptual and enjoyment responses between a single bout of (I) conventional cycling and (II) interactive cycling video game at a matched workload.

Methods

A cross-sectional study in 34 healthy participants was performed. Initially, participants completed an incremental maximal cycling test to measure peak oxygen uptake and to determine ventilatory threshold. In random order, participants carried out a 30 min interactive cycling trial and a 30 min conventional cycling trial at 55% of peak power output. During the trials, oxygen uptake and energy expenditure were measured by open-circuit spirometry and heart rate was measured by radiotelemetry. RPE and enjoyment were measured every 10 minutes with Borg scale and a modified PACES scale.

Results

Interactive cycling resulted in a significantly greater %V̇O₂Reserve (68.2% ± 9.2% vs 64.7% ± 8.1%), rate of energy expenditure (505.8±75.2 vs 487.4±81.2 j·kg^-1·min^-1), and enjoyment (63.4% ± 17 vs 42% ± 13.6), P&lt;0.05. Participants were working at a higher intensity in relation to the individual’s ventilatory threshold during the interactive cycling video game trial (M = 11.86, SE = 3.08) than during the Conventional cycling trial (M = 7.55, SE = 3.16, t(33) = -2.69, P&lt;0.05, r = .42). No significant differences were found for heart rate reserve (72.5 ± 10.4 vs 71.4±10.1%) and RPE (13.1 ± 1.8 vs 13.2 ± 1.7).

Conclusion

Interactive cycling games can be a valid alternative to conventional exercise as they result in a higher exercise intensity than conventional cycling and a distraction from aversive cognitive and physiological states at and above the ventilatory threshold.

High-tech tools for exercise motivation: use and role of technologies such as the internet, mobile applications, social media, and video games

IN BRIEF The majority of patients with type 2 diabetes are not active at recommended levels, and many do not have access to behavior change programs to support lifestyle change. Thus, tools and programs designed to promote the adoption and maintenance of physical activity using technology may be helpful. This article reviews the evidence regarding the use of technology tools such as the Internet, mobile applications, social media, and video games and provides suggestions for evaluating the potential benefit of such tools for behavior change.

Cultivating Engagement and Enjoyment in Exergames Using Feedback, Challenge, and Rewards

OBJECTIVE

This article reviews theoretical and empirical evidence related to three mechanisms for encouraging enjoyment during exergame play: Feedback, challenge, and rewards.

MATERIALS AND METHODS

A literature search and narrative review were conducted.

RESULTS

Feedback is found in nearly all exergames, and richer, more in-depth feedback is associated with increased activity. Challenge is a vital component of any videogame, and exergames include physical as well as cognitive challenges. Flow states have traditionally been conceptualized as occurring when an optimal match between player skills and game challenge occurs. However, failure and retrial are necessary for feelings of overall satisfaction and fun, despite not necessarily being ideally fun or satisfying themselves. Rewards are a more complicated issue, with significant theoretical and empirical evidence suggesting positive and negative effects of reward systems. How rewards are integrated into the mechanics and storyline of the game likely impacts how they are perceived and, thus, their effectiveness. Finally, integration of these mechanisms into exergames requires specific attention to both cognitive and physical implementations. Movements that are not themselves enjoyable or engaging may lead to cheating and lower energy expenditure.

CONCLUSIONS

Feedback, challenge, and rewards are promising mechanisms by which exergames could become more enjoyable. How these concepts are operationalized can affect physical and psychological reactions to exergames. Attention to these concepts in future exergame development and implementation would benefit theory, research, and practice.

Behavior change techniques implemented in electronic lifestyle activity monitors: a systematic content analysis

Background

Electronic activity monitors (such as those manufactured by Fitbit, Jawbone, and Nike) improve on standard pedometers by providing automated feedback and interactive behavior change tools via mobile device or personal computer. These monitors are commercially popular and show promise for use in public health interventions. However, little is known about the content of their feedback applications and how individual monitors may differ from one another.

Objective

The purpose of this study was to describe the behavior change techniques implemented in commercially available electronic activity monitors.

Methods

Electronic activity monitors (N=13) were systematically identified and tested by 3 trained coders for at least 1 week each. All monitors measured lifestyle physical activity and provided feedback via an app (computer or mobile). Coding was based on a hierarchical list of 93 behavior change techniques. Further coding of potentially effective techniques and adherence to theory-based recommendations were based on findings from meta-analyses and meta-regressions in the research literature.

Results

All monitors provided tools for self-monitoring, feedback, and environmental change by definition. The next most prevalent techniques (13 out of 13 monitors) were goal-setting and emphasizing discrepancy between current and goal behavior. Review of behavioral goals, social support, social comparison, prompts/cues, rewards, and a focus on past success were found in more than half of the systems. The monitors included a range of 5-10 of 14 total techniques identified from the research literature as potentially effective. Most of the monitors included goal-setting, self-monitoring, and feedback content that closely matched recommendations from social cognitive theory.

Conclusions

Electronic activity monitors contain a wide range of behavior change techniques typically used in clinical behavioral interventions. Thus, the monitors may represent a medium by which these interventions could be translated for widespread use. This technology has broad applications for use in clinical, public health, and rehabilitation settings.

Effective Feedback Procedures in Games for Health

Feedback on game performance can be provided in many ways (e.g., cumulative points on game achievements, points on selected aspects of game play, biofeedback, brief statements offered during gameplay on choices made, verbal feedback at end of gameplay on overall performance, etc.). Feedback could be used motivationally to maintain player interest and involvement, informationally to guide the player in more effective choices, to build player confidence, and for a variety of other purposes. Although diverse feedback types and purposes are possible, some are more likely to be useful and effective. We have contacted several accomplished game designers and game researchers to obtain their insights into issues in feedback in Games for Health Journal.

Stories in Games for Health: More Pros or Cons?

There has been a debate about whether entertainment videogames should incorporate story or narrative. A concern has been whether story cut scenes break game immersion, and thereby minimize the fun of gameplay. Alternatively, games for health (G4H) have an agenda that goes beyond just having fun. The possible role of story in G4H has not been thoroughly addressed. We have assembled a group of experts who have worked with stories in G4H, and asked some pointed questions.

Developing Games for Health Behavior Change: Getting Started

Many investigators are considering developing videogames for health (video-G4Hs) but have questions about how to get started. This report provides guidance for investigators considering a G4H as a behavioral intervention procedure from a team of experienced G4H developers. Thirteen commonly asked questions are answered, including defining a G4H, considerations in developing a team, considerations in G4H design, and anticipating unintended consequences.

Disentangling Fun and Enjoyment in Exergames Using an Expanded Design, Play, Experience Framework: A Narrative Review

With exergames (as with physical activity in general), more intense and longer-duration game play should accrue more health benefits. Exergames, however, appear to be played for relatively short durations, often at medium or lower intensities. Ostensibly games are played for fun or enjoyment. Enhancing the fun or enjoyment experienced during exergame play should enhance the intensity and duration of physical activity, and thereby the health benefits. Research, reviewed herein, indicates fun and/or enjoyment in games are inherently laden with psychosocial, physiological, and embodiment substrates. Physical activity may also have separate or closely related psychosocial, physiological, and embodiment enjoyment substrates. Research is needed to integrate these levels of experience and to identify the game mechanics that enhance, and even maximize, the fun or enjoyment experienced in exergames, to thereby increase the health benefit.

The better the story, the bigger the serving: narrative transportation increases snacking during screen time in a randomized trial

Background

Watching television and playing video games increase energy intake, likely due to distraction from satiety cues. A study comparing one hour of watching TV, playing typical video games, or playing motion-controlled video games found a difference across groups in energy intake, but the reasons for this difference are not clear. As a secondary analysis, we investigated several types of distraction to determine potential psychosocial mechanisms which may account for greater energy intake observed during sedentary screen time as compared to motion-controlled video gaming.

Methods

Feelings of enjoyment, engagement (mental immersion), spatial presence (the feeling of being in the game), and transportation (immersion in a narrative) were investigated in 120 young adults aged 18 – 35 (60 female).

Results

Only narrative transportation was associated with total caloric intake (ρ = .205, P = .025). Transportation was also higher in the TV group than in the gaming groups (P = .002) and higher in males than in females (P = .003). Transportation mediated the relationship between motion-controlled gaming (as compared to TV watching) and square root transformed energy intake (indirect effect = −1.34, 95% confidence interval −3.57, −0.13). No other distraction-related variables were associated with intake.

Conclusions

These results suggest that different forms of distraction may differentially affect eating behavior during screen time, and that narrative appears to be a particularly strong distractor. Future studies should further investigate the effects of narrative on eating behavior.