The feasibility and RE-AIM evaluation of the TAME health pilot study.

BACKGROUND: Conducting 5 A's counseling in clinic and utilizing technology-based resources are recommended to promote physical activity but little is known about how to implement such an intervention. This investigation aimed to determine the feasibility and acceptability, using the RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) framework, of a pragmatic, primary care-based intervention that incorporated 5 A's counseling and self-control through an activity monitor. METHODS: Primary care patients (n = 40) 55-74 years of age were recruited and randomized to receive a pedometer or an electronic activity monitor (EAM), Jawbone UP24, to monitor activity for 12 weeks. Participants were also invited to a focus group after completing the intervention. Stakeholders (n = 36) were recruited to provide feedback. RESULTS: The intervention recruitment rate was 24.7%. The attrition rate was 20% with a significantly higher rate for the pedometer group (p = 0.02). The EAM group increased their minutes of physical activity by 11.1 min/day while the pedometer maintained their activity (0.2 min/day), with no significant group difference. EAM participants liked using their monitor and would continue wearing it while the pedometer group was neutral to these statements (p < 0.05). Over the 12 weeks there were 490 comments and 1094 "likes" given to study peers in the corresponding application for the UP24 monitor. Some EAM participants enjoyed the social interaction feature while others were uncomfortable talking to strangers. Participants stated they would want counseling from a counselor and not their physician or a nurse. Other notable comments included incorporating multiple health behaviors, more in-person counseling with a counselor, and having a funding source for sustainability. CONCLUSIONS: Overall, the study was well-received but the results raise a number of considerations. Practitioners, counselors, and researchers should consider the following before implementing a similar intervention: 1) utilize PA counselors, 2) target multiple health behaviors, 3) form a social support group, 4) identify a funding source for sustainability, and 5) be mindful of concerns with technology. TRIAL REGISTRATION: clinicaltrials.gov- NCT02554435 . Registered 24 August 2015.

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 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).

Social Support and Actual Versus Expected Length of Stay in Inpatient Rehabilitation Facilities.

OBJECTIVES: To describe impairment-specific patterns in shorter- and longer-than-expected lengths of stay in inpatient rehabilitation, and examine the independent effects of social support on deviations from expected lengths of stay. DESIGN: Retrospective cohort study. SETTING: Inpatient rehabilitation facilities. PARTICIPANTS: Medicare fee-for-service beneficiaries (N=119,437) who were discharged from inpatient rehabilitation facilities in 2012 after stroke, lower extremity fracture, or lower extremity joint replacement. INTERVENTION: Not applicable. MAIN OUTCOME MEASURE: Relative length of stay (actual minus expected). The Centers for Medicare & Medicaid Services posts annual expected lengths of stay based on patients' clinical profiles at admission. We created a 3-category outcome variable: short, expected, long. Our primary independent variable (social support) also included 3 categories: family/friends, paid/other, none. RESULTS: Mean ± SD actual lengths of stay for joint replacement, fracture, and stroke were 9.8±3.6, 13.8±4.5, and 15.8±7.3 days, respectively; relative lengths of stay were -1.2±3.1, -1.6±3.7, and -1.7±5.2 days. Nearly half of patients (47%-48%) were discharged more than 1 day earlier than expected in all 3 groups, whereas 14% of joint replacement, 15% of fracture, and 20% of stroke patients were discharged more than 1 day later than expected. In multinomial regression analysis, using family/friends as the reference group, paid/other support was associated (P<.05) with higher odds of long stays in joint replacement. No social support was associated with lower odds of short stays in all 3 impairment groups and higher odds of long stays in fracture and joint replacement. CONCLUSIONS: Inpatient rehabilitation experiences and outcomes can be substantially affected by a patient's level of social support. More research is needed to better understand these relationships and possible unintended consequences in terms of patient access issues and provider-level quality measures.

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.

Intermittent Pneumatic Compression and Bone Mineral Density: An Exploratory Study.

CONTEXT: Intermittent pneumatic compression (IPC) is a common therapeutic modality used to reduce swelling after trauma and prevent thrombosis due to postsurgical immobilization. Limited evidence suggests that IPC may decrease the time needed to rehabilitate skeletal fractures and increase bone remodeling. OBJECTIVE: To establish feasibility and explore the novel use of a common therapeutic modality, IPC, on bone mineral density (BMD) at the hip of noninjured volunteers. DESIGN: Within-subjects intervention. SETTING: University research laboratory. PARTICIPANTS: Noninjured participants (3 male, 6 female) completed IPC treatment on 1 leg 1 h/d, 5 d/wk for 10 wk. Pressure was set to 60 mm Hg when using the PresSsion and Flowtron Hydroven compression units. MAIN OUTCOME MEASURES: Dual-energy X-ray absorptiometry was used to assess BMD of the hip in treated and nontreated legs before and after the intervention. Anthropometrics, regular physical activity, and nutrient intake were also assessed. RESULTS: The average number of completed intervention sessions was 43.4 (± 3.8) at an average duration of 9.6 (± 0.8) wk. Repeated-measures analysis of variance indicated a significant time-by-treatment effect at the femoral neck (P = .023), trochanter (P = .027), and total hip (P = .008). On average, the treated hip increased 0.5-1.0%, while the nontreated hip displayed a 0.7-1.9% decrease, depending on the bone site. CONCLUSION: Results of this exploratory investigation suggest that IPC is a therapeutic modality that is safe and feasible for further investigation on its novel use in optimizing bone health.

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.

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.

Assessing the Suitability of a Virtual 'Pink Warrior' for Older Breast Cancer Survivors during COVID-19: A Pilot Study.

The COVID-19 pandemic impacted the conduct of in-person physical activity (PA) interventions among older survivors of BC, who need such interventions to stay active and prevent functional decline. We tested the feasibility of virtually delivering an exergame-based PA intervention to older BC survivors. We enrolled 20 female BC survivors ≥55 years and randomly assigned them to two groups. The intervention group (Pink Warrior 2) received 12 weekly virtual exergame sessions with behavioral coaching, survivorship navigation support, and a Fitbit for self-monitoring. The control group received 12 weekly phone-based survivorship discussion sessions and wore a Mi Band 3. Feasibility was evaluated by rates of recruitment (≥0.92 participants/center/month), retention (≥80%), and group attendance (≥10 sessions), percentage of completed virtual assessments, and number of technology-related issues and adverse events. Intervention acceptability was measured by participants' ratings on a scale of 1 (strongly disagree) to 5 (strongly agree). The recruitment rate was 1.93. The retention and attendance rates were 90% and 88% (≥10 sessions), respectively. Ninety-six percent completed virtual assessments without an adverse event. Acceptability was high (≥4). The intervention met benchmarks for feasibility. Additional research is needed to further understand the impact of virtually delivered PA interventions on older BC survivors.

Feasibility and Acceptability of an Active Video Game-Based Physical Activity Support Group (Pink Warrior) for Survivors of Breast Cancer: Randomized Controlled Pilot Trial.

BACKGROUND: Survivors of breast cancer with functional limitations have a 40% higher mortality rate than those without. Despite the known benefits of physical activity (PA), <40% of survivors of breast cancer meet the recommendations for PA. The combination of active video games (AVGs) and group-based PA counseling may hold potential for motivating PA adoption and improving physical function. However, this method has not been widely studied in survivors of breast cancer. OBJECTIVE: We aimed to determine the feasibility and acceptability of a group AVG-based multicomponent PA intervention and estimate its effect size and variability on PA and physical function in female survivors of breast cancer in a clinic setting. METHODS: Female survivors of breast cancer (N=60) were recruited through the clinic and randomly assigned to the intervention group (12 weekly sessions) or the control group (existing support group). The intervention group received game-based pedometers and participated in weekly group AVG sessions, PA behavioral coaching, and survivorship navigation discussions. A participant manual with weekly reflection worksheets was provided to reinforce the coaching lessons and promote self-led PA. The control group received conventional pedometers and participated in an existing breast cancer support group. Feasibility was assessed by enrollment rate (≥50%), retention rate (≥80%), group attendance rate (75% attending ≥9 sessions [intervention group]), and the number of technological issues and adverse events. Acceptability was measured by participants' attitudes (from strongly disagree=1 to strongly agree=5) toward the use of AVGs and the overall program. The outcomes included PA (accelerometers) and physical function (Short Physical Performance Battery and gait speed). Analysis of covariance was used to determine differences in PA and physical function between the groups. The Cohen d and its 95% CI determined the effect size and variability, respectively. All the analyses followed the intention-to-treat principle. RESULTS: Participants were an average of 57.4 (SD 10.5) years old, 70% (42/60) White, and 58% (35/60) off treatment. The enrollment rate was 55.9% (66/118). Despite substantial long-term hurricane-related disruptions, we achieved an 80% (48/60) retention. The intervention group's attendance rate was 78% (14/18), whereas the control group's attendance rate was 53% (9/17). Of the 26 game-based pedometers, 3 (12%) were damaged or lost. No study-related adverse events occurred. Acceptability items were highly rated. Steps (ß=1621.64; P=.01; d=0.72), Short Physical Performance Battery (ß=.47; P=.01; d=0.25), and gait speed (ß=.12; P=.004; d=0.48) had a significant intervention effect. CONCLUSIONS: The intervention was feasible and acceptable in this population despite the occurrence of a natural disaster. Pilot results indicate that group AVG sessions, PA coaching, and survivorship navigation produced moderate effects on PA and physical functioning. AVGs with PA counseling can potentially be used in existing breast cancer support groups to encourage PA and improve physical function. TRIAL REGISTRATION: ClinicalTrials.gov NCT02750241; https://clinicaltrials.gov/ct2/show/NCT02750241.

The utility of wearable fitness trackers and implications for increased engagement: An exploratory, mixed methods observational study.

OBJECTIVE: To explore which features of wearable fitness trackers are used and deemed helpful. METHODS: Forty-seven participants took part in an online survey. All participants were over 18 years of age and owned a wearable device that objectively measured physical activity and provided feedback. The survey included questions related to the acceptance of different features of wearables, and exercise information, self-efficacy, exercise identity, motivation, and general demographics of the wearer. Seven participants took part in focus groups in an effort to gain further insight into the acceptability and utilization of wearables. Data were examined using means and frequencies. RESULTS: Participants were mostly young adults (18-24 years, 48.9%), White (63.8%), female (80.9%), overweight (body mass index 26.0±6.2), students (42.6%) and generally healthy. Fitbit was the most commonly owned wearable device (42.6%). Most participants had owned their device for 6-12 months (27.7%) and they wore their device daily (80.9%). The most commonly used features were rewards/badges (59.6%), notifications (52.2%), and challenges (42.6%). The features that were reportedly the most helpful, however, were motivational cues (83.3%), general health information (82.4%), and challenges (75.0%). CONCLUSIONS: The reported use and helpfulness ratings of various features of wearables appeared to vary based on the wearer's gender, race/ethnicity, exercise goal, exercise proficiency, preferred type of exercise, and psychosocial metrics but the results are inconclusive. Future research should evaluate whether engagement with certain features is strongly associated with improved outcomes and whether the use of these features is significantly associated with wearer characteristics.

Effect of Electronic Activity Monitors and Pedometers on Health: Results from the TAME Health Pilot Randomized Pragmatic Trial.

Background: Brief counseling and self-monitoring with a pedometer are common practice within primary care for physical activity promotion. It is unknown how high-tech electronic activity monitors compare to pedometers within this setting. This study aimed to investigate the outcomes, through effect size estimation, of an electronic activity monitor-based intervention to increase physical activity and decrease cardiovascular disease risk. Method: The pilot randomized controlled trial was pre-registered online at clinicaltrials.gov (NCT02554435). Forty overweight, sedentary participants 55-74 years of age were randomized to wear a pedometer or an electronic activity monitor for 12 weeks. Physical activity was measured objectively for 7 days at baseline and follow-up by a SenseWear monitor and cardiovascular disease risk was estimated by the Framingham risk calculator. Results: Effect sizes for behavioral and health outcomes ranged from small to medium. While these effect sizes were favorable to the intervention group for physical activity (PA) (d = 0.78) and general health (d = 0.39), they were not favorable for measures. Conclusion: The results of this pilot trial show promise for this low-intensity intervention strategy, but large-scale trials are needed to test its efficacy.

The Effects of Loaded Plyometric Exercise during Warm-Up on Subsequent Sprint Performance in Collegiate Track Athletes: A Randomized Trial.

Prior evidence demonstrates the efficacy by which plyometric activities during warm-up conditions augment the subsequent performance in power-centric exercise. We investigated the acute effects of loaded jump squats incorporated into a standard sprinters' warm-up protocol on subsequent sprint performance in collegiate track athletes. Sprint times of 22 male and female collegiate track athletes were measured in 10-m intervals during a 30-m sprint trial following a standard sprinters' warm-up routine with or without plyometric exercise. Subjects were tested on two separate occasions, once with loaded jump squats as the experimental treatment (two sets of eight jumps, load = 13% bodyweight) (PLYO) and once with time-equated rest as the control treatment (CON). Treatments were implemented following a standard sprinters' warm-up routine familiar to the subjects. A dependent T-test was used for comparison of sprint interval times between conditions with a significant effect indicated by a p-value < 0.05. Sprint time did not differ between CON vs. PLYO at the 10 m (PLYO = 1.90 ± 0.12 s vs. CON = 1.90 ± 0.11 s, p = 0.66), 20 m (PLYO = 3.16 ± 0.21 s vs. CON = 3.15 ± 0.19 s, p = 0.53), and 30 m (PLYO = 4.32 ± 0.32 s vs. CON = 4.31 ± 0.28 s, p = 0.61) intervals. There was no interaction between treatment and sex, sex-specific ranking (above vs. below sex-specific mean), or sprint event (short vs. short-long vs. long) for 10 m, 20 m, or 30-m interval sprint times. At least within the limits of the current investigation, no evidence was provided to suggest that jump squats loaded at 13% bodyweight are an effective means to acutely potentiate sprint performance in collegiate track athletes. However, a further examination of responders indicates that the present loaded jump squat protocol may preferentially potentiate sprint performance in faster male athletes.

Investigating the Use of an Electronic Activity Monitor System as a Component of Physical Activity and Weight-Loss Interventions in Nonclinical Populations: A Systematic Review.

BACKGROUND: Electronic activity monitor systems (EAMSs) have been readily incorporated into physical activity (PA) and weight-loss interventions to facilitate self-monitoring PA behavior. A comprehensive review is required to better understand their utility as intervention modalities in nonclinical populations. METHODS: Medscape, MEDLINE, PsycINFO, and Cochrane databases were searched in February 2017, with a search update in April 2017. Citation screening, risk of bias assessment, and an intensity evaluation were conducted in duplicate by 2 investigators. RESULTS: The search returned 409 unique citations. Of which, 22 citations met the inclusion criteria. Seven studies found significant between-group differences: 3 in weight loss, 3 in PA levels, and 1 in both weight loss and PA levels. Effective interventions lasted 6 weeks to 12 months. Positive health outcomes were demonstrated when users interacted with multiple features of the EAMS and had access to other services, such as personal coaching or environmental reinforcement. CONCLUSIONS: When control and intervention groups have access to the same components, such as counseling or group interaction, the addition of an EAMS for self-monitoring within the intervention group may not confer more favorable results. Risk of performance bias and low sample sizes should be addressed in future trials to generate more reliable findings.

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 (ß = 1.13, p = .01) and received virtual support (ß = 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.

Social Support Patterns of Middle-Aged and Older Adults Within a Physical Activity App: Secondary Mixed Method Analysis.

BACKGROUND: Physical activity (PA) is critical for maintaining independence and delaying mobility disability in aging adults. However, 27 to 44% of older adults in the United States are meeting the recommended PA level. Activity trackers are proving to be a promising tool to promote PA adherence through activity tracking and enhanced social interaction features. Although social support has been known to be an influential behavior change technique to promote PA, how middle-aged and older adults use the social interaction feature of mobile apps to provide virtual support to promote PA engagement remains mostly underexplored. OBJECTIVE: This study aimed to describe the social support patterns of middle-aged and older adults using a mobile app as part of a behavioral PA intervention. METHODS: Data from 35 participants (mean age 61.66 [SD 6] years) in a 12-week, home-based activity intervention were used for this secondary mixed method analysis. Participants were provided with a Jawbone Up24 activity monitor and an Apple iPad Mini installed with the UP app to facilitate self-monitoring and social interaction. All participants were given an anonymous account and encouraged to interact with other participants using the app. Social support features included comments and likes. Thematic coding was used to identify the type of social support provided within the UP app and characterize the levels of engagement from users. Participants were categorized as superusers or contributors, and passive participants were categorized as lurkers based on the literature. RESULTS: Over the 12-week intervention, participants provided a total of 3153 likes and 1759 comments. Most participants (n=25) were contributors, with 4 categorized as superusers and 6 categorized as lurkers. Comments were coded as emotional support, informational support, instrumental support, self-talk, and other, with emotional support being the most prevalent type. CONCLUSIONS: Our cohort of middle-aged and older adults was willing to use the social network feature in an activity app to communicate with anonymous peers. Most of our participants were contributors. In addition, the social support provided through the activity app followed social support constructs. In sum, PA apps are a promising tool for delivering virtual social support to enhance PA engagement and have the potential to make a widespread impact on PA promotion. TRIAL REGISTRATION: ClinicalTrials.gov NCT01869348; https://clinicaltrials.gov/ct2/show/NCT01869348.

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.

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).

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 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).