Zakkoyya H. Lewis

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.

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

BackgroundObesity 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.MethodsElectronic 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.ResultsMost 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.ConclusionThese 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.

Using an electronic activity monitor system as an intervention modality

BackgroundObesity 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.MethodsElectronic 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.ResultsMost 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.ConclusionThese 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.

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.

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

BackgroundPhysical 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/DesignSMARTGOAL (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.DiscussionThis 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 registrationclinicaltrials.gov NCT02341235 (January 9, 2015)

The Role of Physical Activity and Physical Function on the Risk of Falls in Older Mexican Americans.

We investigated the relationship between physical activity and physical function on the risk of falls over time in a cohort of Mexican-American adults aged 75 and older from the Hispanic Established Population for the Epidemiologic Study of the Elderly (H-EPESE). Participants were divided into four groups according to their level of physical activity and physical function: low physical activity and low physical function (n = 453); low physical activity and high physical function (n = 54); high physical activity and low physical function (n = 307); and high physical activity and high physical function (n = 197). Using generalized linear equation estimation, we showed that participants with high physical activity and low physical function had a greater fall risk over time, followed by the high physical activity and high physical function group. Participants seldom took part in activities that improve physical function. To prevent falls, modifications to physical activity should be made for older Mexican Americans.

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.

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

The Impact of 10-Year Physical Activity Changes on 7-Year Mortality in Older Mexican Americans

BACKGROUND We investigated the association between 10 years of change in physical activity (PA) levels and 7-year all-cause mortality. METHODS Mexican American adults aged 67 and older (N = 803) participating in the Hispanic Established Population for the Epidemiologic Study of the Elderly (1995/1996-2012/2013) were included. All-cause mortality was our outcome. Participants were divided into 4 groups based on their difference in overall PA between 1995/1996 and 2005/2006 measured by the Physical Activity Scale for the Elderly. Participants were classified as having unchanged low PA (n = 339), decreased activity (n = 233), unchanged high activity (n = 166), and increased activity (n = 65). Change in the frequency of PA domains was also investigated. PA domains included leisure, household, sedentary, and walking activities. RESULTS After controlling for all covariates, results from the Cox proportional hazards regression found a 43% lower mortality risk in the increased PA group (hazards ratio = 0.57; 95% confidence interval, 0.34-0.97) compared with the unchanged low PA group. In the entire sample, a significantly lower mortality risk was also present among walking (hazards ratio = 0.88) and household (hazards ratio = 0.88) activities. CONCLUSION Our results suggest that, independent of other factors, increasing PA is most protective of mortality among older Mexican Americans.

Brief Report: Active Ingredients for Adherence to a Tracker-Based Physical Activity Intervention in Older Adults:

Objectives: To identify factors associated with weekly adherence to a 12-week tracker-based activity intervention in older adults. Method: Using generalized linear mixed models in a secondary analysis (N = 35), we examined factors associated with weekly adherence (defined as wore the Jawbone Up24 tracker for ≥5 days and completed weekly calls). Factors examined included individual characteristics, gave and received virtual support, achieved step goals, barrier and task self-efficacy, and self-comment. Results: Participants’ (Mage = 61.7, SDage = 5.7) adherence changed from 86% (Week 1) to 74% (Week 12). Achieved the previous week’s goal (β = 1.13, p = .01) and received virtual support (β = 0.01, p = .02) significantly increased the odds of weekly adherence. Discussion: Achieved step goals and received virtual support were associated with improved adherence to our tracker-based activity intervention, which has promising potential to be translated into the clinical setting to promote active lifestyles.