Predicting physical activity for people with multiple sclerosis: The role of exercise-related cognitive errors.

PURPOSE: Multiple sclerosis (MS) is a neurological disease that is chronic, progressive characterized by symptoms of relapsing fatigue and pain. Despite evidence supporting the use of physical activity (PA) for MS symptom management, low rates of PA participation are observed. Previous research suggests exercise-related cognitive errors (ECEs) can deter and decrease PA participation. The purpose of this study was to examine whether ECEs and self-regulatory efficacy for MS symptom control predict important behavior-related outcomes for MS self-management (dependent variables: PA, maladaptive behavioral responses to illness, and perceived walking impairment). METHOD: Adults with MS (N = 110; aged 18 and over, with a patient-determined disease steps score of six or less) completed the following validated questionnaires: ECEs, MS symptom control self-efficacy, self-report moderate to vigorous physical activity, behavioral responses to illness, and perceived walking impairment. RESULTS: ECEs significantly predicted behavioral responses to illness (ß = .459, p < .01) and perceived walking impairment (ß = .279, p < .01). The interaction between ECEs and self-regulatory efficacy significantly predicted all three dependent variables (ßs ranged from .155 to .263, ps < .05). CONCLUSION: This is the first study to demonstrate associations between ECEs and different illness- and mobility-related perceptions for persons with MS. Findings suggested that self-regulatory efficacy to manage MS symptoms varied based on low, moderate, or high levels of ECEs. Disability status is not easily modifiable; targeting social cognitions, like self-regulatory efficacy or ECEs, may be a promising way to promote PA for MS self-management. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Can In-Task Affect During Interval and Continuous Exercise Predict 12-Month Physical Activity Behavior? Findings from a Randomized Trial.

BACKGROUND: In-task affective responses to moderate-intensity continuous exercise training (MICT) have been shown to predict future physical activity behavior. However, limited research has investigated whether this affect-behavior relationship is similar for high-intensity interval training (HIIT) and whether it holds true over the longer term. This study aims to determine (1) if in-task affect during 2 weeks of supervised MICT and HIIT predicted changes to unsupervised moderate-to-vigorous physical activity (MVPA) behavior 12 months post-intervention and (2) if this predictive relationship was moderated by exercise type (MICT vs. HIIT). METHOD: Ninety-nine adults (69.7% female; 50.9 ± 9.4 years) who were low active and overweight were randomized to 2 weeks of exercise training of MICT (n = 52) or HIIT (n = 47), followed by 12 months of accelerometry-assessed free-living MVPA. RESULTS: The pooled moderation model was not significant, F(3, 94) = 2.54, p = .07 (R2 = 0.085), with a non-significant group by affect interaction (p = .06). The conditional effect for MICT was significant (B = 17.27, t = 2.17, p = .03), suggesting that 12-month change in MVPA increased by 17.27 min/week for every one-point increase in in-task affect. The conditional effect for HIIT was not significant (p = .85), suggesting that in-task affect was not predictive of 12-month change in MVPA. CONCLUSION: The current findings raise important questions about whether the affect-behavior relationship may vary depending on exercise type. For HIIT-based exercise in particular, additional psychological constructs beyond in-task affect should be considered when attempting to predict future physical activity behavior.

mHealth prompts within diabetes prevention programs: a scoping review.

Background: Mobile health (mHealth) prompts (e.g., text messaging, push notifications) are a commonly used technique within behaviour change interventions to prompt or cue a specific behaviour. Such prompts are being increasingly integrated into diabetes prevention programs (DPPs). While mHealth prompts provide a convenient and cost-effective way to reinforce behaviour change, no reviews to date have examined mHealth prompt use within DPPs. This scoping review aims to: (I) understand how mHealth prompts are being used within behaviour change interventions for individuals at risk for developing type 2 diabetes (T2D); and (II) provide recommendations for future mHealth prompt research, design, and application. Methods: The scoping review methodology outlined by Arksey and O'Malley were followed. Medline, CINAHL, PsycInfo, Web of Science, and SportDiscus were searched. The search strategy combined keywords relating to T2D risk and mHealth prompts in conjunction with database-controlled vocabulary when available (e.g., MeSH for Medline). Results: Of the 4,325 publications screened, 44 publications (based on 33 studies) met the inclusion criteria and were included for data extraction. Text messaging was the most widely used mHealth prompt (73%) followed by push notifications (21%). Only 30% of studies discussed the theoretical basis for prompt content and time of day messages were sent, and only 27% provided justification for prompt timing and frequency. Fourteen studies assessed participant satisfaction with mHealth prompts of which only two reported dissatisfaction due to either prompting frequency (hourly) or message content (solely focused on weight). Nine studies assessed behavioural outcomes including weight loss, physical activity, and diabetes incidence, and found mixed effects overall. Conclusions: While mHealth prompts were well-received by participants, there are mixed effects on the influence of mHealth prompts on behavioural outcomes and diabetes incidence. More thorough reporting of prompt content development and delivery is needed, and more experimental research is needed to identify optimal content, delivery characteristics, and impact on behavioural and clinical outcomes.

Use of an mHealth Ketogenic Diet App Intervention and User Behaviors Associated With Weight Loss in Adults With Overweight or Obesity: Secondary Analysis of a Randomized Clinical Trial.

BACKGROUND: Low-carbohydrate ketogenic diets are a viable method to lose weight that have regained popularity in recent years. Technology in the form of mobile health (mHealth) apps allows for scalable and remote delivery of such dietary interventions and are increasingly being used by the general population without direct medical supervision. However, it is currently unknown which factors related to app use and user behavior are associated with successful weight loss. OBJECTIVE: First, to describe and characterize user behavior, we aim to examine characteristics and user behaviors over time of participants who were enrolled in a remotely delivered clinical weight loss trial that tested an mHealth ketogenic diet app paired with a breath acetone biofeedback device. Second, to identify variables of importance to weight loss at 12 weeks that may offer insight for future development of dietary mHealth interventions, we aim to explore which app- and adherence-related user behaviors characterized successful weight loss. METHODS: We analyzed app use and self-reported questionnaire data from 75 adults with overweight or obesity who participated in the intervention arm of a previous weight loss study. We examined data patterns over time through linear mixed models and performed correlation, linear regression, and causal mediation analyses to characterize diet-, weight-, and app-related user behavior associated with weight loss. RESULTS: In the context of a low-carbohydrate ketogenic diet intervention delivered remotely through an mHealth app paired with a breath acetone biofeedback device, self-reported dietary adherence seemed to be the most important factor to predict weight loss (ß=-.31; t54=-2.366; P=.02). Furthermore, self-reported adherence mediated the relationship between greater app engagement (from c=-0.008, 95% CI -0.014 to -0.0019 to c'=-0.0035, 95% CI -0.0094 to 0.0024) or higher breath acetone levels (from c=-1.34, 95% CI -2.28 to -0.40 to c'=-0.40, 95% CI -1.42 to 0.62) and greater weight loss, explaining a total of 27.8% and 28.8% of the variance in weight loss, respectively. User behavior (compliance with weight measurements and app engagement) and adherence-related aspects (breath acetone values and self-reported dietary adherence) over time differed between individuals who achieved a clinically significant weight loss of >5% and those who did not. CONCLUSIONS: Our in-depth examination of app- and adherence-related user behaviors offers insight into factors associated with successful weight loss in the context of mHealth interventions. In particular, our finding that self-reported dietary adherence was the most important metric predicting weight loss may aid in the development of future mHealth dietary interventions. TRIAL REGISTRATION: ClinicalTrials.gov NCT04165707; https://clinicaltrials.gov/ct2/show/NCT04165707. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/19053.

Keyto app and device versus WW app on weight loss and metabolic risk in adults with overweight or obesity: A randomized trial.

OBJECTIVE: The aim of this study was to determine whether a Mediterranean-style, ketogenic diet mobile health application (app) with breath acetone biofeedback is superior to a calorie-restricted, low-fat diet app in promoting weight loss. METHODS: Participants (n = 155) with overweight/obesity (mean [SD]: age 41 [11] years, BMI = 34 [5] kg/m2 , 71% female) were randomized to one of the interventions delivered entirely via app. Participants received a wireless scale and were instructed to take daily weight measurements. A third-party laboratory collected blood samples at baseline and 12 weeks. RESULTS: Weight loss at 12 weeks was greater in the ketogenic (-5.6 kg; 95% CI: -6.7 kg to -4.5 kg) compared with the low-fat group (-2.5 kg; 95% CI: -3.6 kg to -1.4 kg) (between-group difference: -3.1 kg; 95% CI: -4.6 kg to -1.5 kg; p < 0.001). Weight loss at 24 weeks indicated durability of the effect (between-group difference: -5.5 kg; 95% CI: -8.3 kg to -2.8 kg; p < 0.001). Secondary/exploratory outcomes of hemoglobin A1c and liver enzymes were improved to a greater extent in the ketogenic diet group (p < 0.01). CONCLUSIONS: Among adults with overweight/obesity, a ketogenic diet app with breath acetone biofeedback was superior to a calorie-restricted diet app at promoting weight loss in a real-world setting.

Examining the Relationship Between Exercise-Related Cognitive Errors, Exercise Schema, and Implicit Associations.

To better understand exercise-related cognitive errors (ECEs) from a dual processing perspective, the purpose of this study was to examine their relationship to two automatic exercise processes. It was hypothesized that ECEs would account for more variance than automatic processes in predicting intentions, that ECEs would interact with automatic processes to predict intentions, and that exercise schema would distinguish between different levels of ECEs. Adults (N = 136, Mage = 29 years, 42.6% women) completed a cross-sectional study and responded to three survey measures (ECEs, exercise self-schema, and exercise intentions) and two computerized implicit tasks (the approach/avoid task and single-category Implicit Association Test). ECEs were not correlated with the two implicit measures; however, ECEs moderated the relationship between approach tendency toward exercise stimuli and exercise intentions. Exercise self-schema were differentiated by ECE level. This study expands our knowledge of ECEs by examining their relationship to different automatic and reflective processes.

Using the behavior change wheel to develop text messages to promote diet and physical activity adherence following a diabetes prevention program.

Improving diet and physical activity (PA) can reduce the risk of developing type 2 diabetes (T2D); however, long-term diet and PA adherence is poor. To impact population-level T2D risk, scalable interventions facilitating behavior change adherence are needed. Text messaging interventions supplementing behavior change interventions can positively influence health behaviors including diet and PA. The Behavior Change Wheel (BCW) provides structure to intervention design and has been used extensively in health behavior change interventions. Describe the development process of a bank of text messages targeting dietary and PA adherence following a diabetes prevention program using the BCW. The BCW was used to select the target behavior, barriers and facilitators to engaging in the behavior, and associated behavior change techniques (BCTs). Messages were written to map onto BCTs and were subsequently coded for BCT fidelity. The target behaviors were adherence to diet and PA recommendations. A total of 16 barriers/facilitators and 28 BCTs were selected for inclusion in the messages. One hundred and twenty-four messages were written based on selected BCTs. Following the fidelity check a total of 43 unique BCTs were present in the final bank of messages. This study demonstrates the application of the BCW to guide the development of a bank of text messages for individuals with prediabetes. Results underscore the potential utility of having independent coders for an unbiased expert evaluation of what active components are in use. Future research is needed to demonstrate the feasibility and effectiveness of resulting bank of messages.

Making changes to one's physical activity and diet can reduce future risk of developing type 2 diabetes. That being said, making life-long changes to complex behaviors such as diet or physical activity is easier said than done. Text messages can be used to improve long-term diet and physical activity changes; however, it can be difficult to identify what should be said in a text message to nudge those behaviors. To improve utility and reduce cost of sending unnecessary messages, theory should be used in developing text messaging content. The current study used the Behavior Change Wheel to develop a library of text messages that can be used to improve diet and physical activity in individuals who have taken part in an effective community-based diabetes prevention program. The Behavior Change Wheel guides researchers to develop real-world interventions based on evidence and theory. Overall, we created a library of 124 theory-based messages which can be further tested following a diabetes prevention program.

Effect of Group Counseling Plus Tailored Exercise on Mobility Function in Multiple Sclerosis.

BACKGROUND: Multiple sclerosis (MS) impairs muscular function and limits individuals' ability to perform everyday activities requiring mobility. People with MS frequently exhibit mobility problems (ie, slower walking speed, shorter strides). General exercise training (eg, resistance, aerobic) provides modest physiological and walking mobility benefits. However, researchers suggest tailoring of interventions to address mobility specifically. We conducted a phase 2a pre-post intervention development study (Obesity-Related Behavioral Intervention Trials [ORBIT] intervention development model) of mobility exercise plus cognitive behavioral counseling to improve function and social cognitions known to encourage exercise. METHODS: The intervention was conducted twice per week for 8 weeks followed by 1 month of self-managed mobility exercise. Participants (N = 29; mean ± SD age = 52.24 ± 11.36 years, mean time since MS diagnosis ≥11 years) were assessed at baseline and after follow-up for mobility function, social cognitions, and intervention fidelity indicators. RESULTS: Results indicated significant improvements in a variety of valid measures of mobility function (eg, 400-m walk), self-regulatory efficacy for mobility exercise and symptom control, and fidelity measures with small to medium effect sizes. CONCLUSIONS: Positive findings suggest that the intervention seems to merit testing as a randomized pilot study following the ORBIT model.

Improving Diabetes Care in the British Columbia Southern Interior: Developing Community‒University Initiatives to Address Service Gaps.

OBJECTIVES: Diabetes rates in the British Columbia (BC) interior are rising more rapidly compared with the rest of Canada, whereas diabetes service provision is limited within this region. The purposes of this article were: 1) to identify characteristics of diabetes service delivery; and 2) to co-develop community‒university diabetes research projects to address service barriers and gaps in the BC southern interior across urban, rural and Indigenous populations. METHODS: A 3-step approach was used. In step 1, a web search was conducted to identify diabetes-related services. In step 2, 10 community members working or volunteering in diabetes organizations participated in semistructured telephone interviews pertaining to diabetes service access, priorities, barriers, benefits and gaps. In step 3, a meeting of researchers and community members (n=25) was held to foster collaboration and co-develop research projects. RESULTS: Seventy-eight urban, rural and Indigenous diabetes-related services were identified in the BC southern interior. Provision of care to those with new type 1 diabetes and gestational diabetes diagnoses was identified in the interviews as a key priority; the needs of these groups contribute to a deficiency of resources to deliver prediabetes programs. The meeting produced plans for 2 collaborative projects: (1) the development of a diabetes patient journey map, and (2) development of a diabetes service hub with navigators for patients. CONCLUSIONS: Together, community members and researchers have identified service gaps and formulated research projects to improve diabetes management for urban, rural and Indigenous peoples living in the BC southern interior.

Psychological responses to HIIT and MICT over a 2-week progressive randomized trial among individuals at risk of type 2 diabetes.

The purpose of this secondary analysis study was to examine the affective and social cognitive responses to low-volume high-intensity interval training (HIIT) and moderate-intensity continuous training (MICT) over a progressive two-week supervised intervention for individuals at risk of type 2 diabetes. Ninety-nine adults that were low-active and overweight were randomized into one of two exercise conditions and had affective and social cognitive measures assessed before, during, and after intervention. Increases over time in post-exercise enjoyment, attitudes towards exercise, and intentions to exercise were noted for both HIIT and MICT conditions (ps <.05). The patterns of change in acute affective responses over the two-week intervention were consistent for both conditions, with participants in MICT reporting more positive in-task affect and affective attitudes throughout (ps <.001). Positive correlational relationships between affective and social cognitive responses were revealed throughout the intervention (ps <.05), highlighting the relationship between reflexive responses and reflective cognitions. Research is warranted to determine whether findings are a consequence of familiarization with exercise, whether such findings are translatable to real-world environments and non-progressive exercise protocols, and whether these reflexive responses and reflective cognitions are predictive of future exercise behaviour for individuals at risk of type 2 diabetes.

An Evaluation of the Reach and Effectiveness of a Diabetes Prevention Behaviour Change Program Situated in a Community Site.

More than 350 million people are living with prediabetes. Preventing type 2 diabetes (T2D) progression can reduce morbidity, mortality and health-care costs. Interventions can support people with diet and physical activity behaviour changes; however, many interventions are university-based, posing barriers (e.g. accessibility, limited reach and maintenance), which highlight the need for community intervention. Limited research has comprehensively evaluated programs in community contexts. The purpose of this study was to pragmatically examine the reach and effectiveness of a diabetes prevention behaviour change program in the community using the RE-AIM framework. Demographic and outcome data were collected through telephone screening and survey data, and analyzed using descriptive and multivariate analyses. Over 2 years, 9,954 individuals were identified by a medical laboratory as living with prediabetes. Information letters were sent by the laboratory to individuals upon physician approval (N=2,241, 22.5%) as a main form of recruitment. From this, 271 individuals and an additional 160 individuals via other recruitment methods contacted the research team (N=431). Two hundred thirteen adults with prediabetes were enrolled (87.4% Caucasian, 69.7% female; 95% program completion). Analyses of 6-month follow-up data revealed significant maintenance of reductions in weight and waist circumference and improvements in physical function, self-reported physical activity and all-food frequency items except fruit intake (N=121, d=0.21 to 0.68, p <0.05 to 0.001). The program demonstrated diabetes risk-reducing benefits for enrolled individuals. Future work is needed to increase physician referral and participant response rates and to explore program expansion through digitization to reach more individuals at risk of developing T2D.

Comparing the Keyto App and Device with Weight Watchers' WW App for Weight Loss: Protocol for a Randomized Trial.

BACKGROUND: Obesity and being overweight are major contributing factors for many diseases. Calorie restricted diets often fail to result in sustained long-term weight loss. Very low-carbohydrate, high-fat ketogenic diets have been suggested to have superior metabolic and weight loss effects. Keyto is a low-cost, highly scalable mobile health (mHealth) app paired with a noninvasive biofeedback tool aimed at facilitating weight loss through a personalized healthy and predominantly plant- and fish-based ketogenic diet. OBJECTIVE: This protocol describes a randomized trial comparing the efficacy of the Keyto mHealth app and device intervention to that of Weight Watchers' WW app in individuals who are overweight or obese. The primary outcome is weight loss after 12 weeks. Secondary and exploratory outcomes, including metabolic and cardiovascular risk factors, will be assessed at 12, 24, and 48 weeks. METHODS: A total of 144 participants will be recruited and randomized to either the Keyto program or Weight Watchers program. Study participants will be guided through the study via video conference or phone calls and will undergo a fasting blood analysis performed by a third-party diagnostic lab at weeks 0 and 12 to assess metabolic and cardiovascular risk markers. All participants will be asked to weigh themselves daily on a study-provided Bluetooth-enabled scale. Participants randomized to the Keyto arm will also be asked to measure their breath acetone levels, a measure of ketosis, with the Keyto device 3 times per day. RESULTS: Recruitment started in December 2019. Rolling recruitment is expected to be completed by July 2020. Data collection and analysis of the primary intervention phase is expected to be completed in October 2020. The 24- and 48-week follow-ups are expected to be completed in January 2021 and July 2021, respectively. CONCLUSIONS: This trial will provide high-quality evidence regarding the efficacy of the Keyto weight loss program in individuals who are overweight and obese in a free-living condition. This study also fills a gap by examining the impact of a ketogenic diet emphasizing plant- and fish-based fats on blood lipid profile and cardiovascular disease risk. TRIAL REGISTRATION: ClinicalTrials.gov NCT04165707; https://clinicaltrials.gov/ct2/show/NCT04165707. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/19053.

Self-regulatory efficacy for exercise in cardiac rehabilitation: Review and recommendations for measurement.

PURPOSE: Self-regulatory efficacy (SRE) is a psychological resource necessary for cardiac rehabilitation (CR) exercise adoption and maintenance. A 2008 review of self-efficacy for CR exercise identified the need for more high-quality research on SRE. The present review had 4 purposes: (a) to review the characteristics of empirical SRE and CR exercise research since 2008; (b) to examine the quality of SRE measurement; (c) to determine whether varying quality of SRE measurement moderated the relationship between SRE, exercise, and CR social cognitions; and (d) to make recommendations for better measurement for future research. METHOD: An initial search of 766 possible studies identified 29 for review. These included individuals engaged in or completing CR where SRE for exercise and relevant outcomes was assessed. Meta-analysis examined whether SRE measurement quality was associated with the magnitude of effects observed and to determine potential moderation by quality. RESULTS: There were 11 unique operationalizations of SRE for exercise. Problematic factors included: non-SRE variables assessed as the construct, using global versus specific measures, and lack of a time frame over which SRE applied. Effect size was related to stronger relationships as level of study and measurement quality increased. CONCLUSION: Since 2008, an increase in studies examining SRE and CR exercise was observed. To advance SRE and CR exercise research, measurement and research quality improvements are recommended that have implications for future mediation and CR intervention assessment. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Effects of Mobile Health Prompts on Self-Monitoring and Exercise Behaviors Following a Diabetes Prevention Program: Secondary Analysis From a Randomized Controlled Trial.

BACKGROUND: A number of mobile health (mHealth) apps exist that focus specifically on promoting exercise behavior. To increase user engagement, prompts, such as text messages, emails, or push notifications, are often used. To date, little research has been done to understand whether, and for how long, these prompts influence exercise behavior. OBJECTIVE: This study aimed to assess the impact of prompts on mHealth self-monitoring and self-reported exercise in the days following a prompt and whether these effects differ based on exercise modality. METHODS: Of the possible 99 adults at risk for developing type II diabetes who participated in a diabetes prevention program, 69 were included in this secondary analysis. Participants were randomly assigned to 1 of the following 2 exercise conditions: high-intensity interval training or moderate-intensity continuous training. In the year following a brief, community-based diabetes prevention program involving counseling and supervised exercise sessions, all participants self-monitored their daily exercise behaviors on an mHealth app in which they were sent personalized prompts at varying frequencies. mHealth self-monitoring and self-reported exercise data from the app were averaged over 1, 3, 5, and 7 days preceding and following a prompt and subsequently compared using t tests. RESULTS: In the year following the diabetes prevention program, self-monitoring (t68=6.82; P<.001; d=0.46) and self-reported exercise (t68=2.16; P=.03; d=0.38) significantly increased in the 3 days following a prompt compared with the 3 days preceding. Prompts were most effective in the first half of the year, and there were no differences in self-monitoring or self-reported exercise behaviors between exercise modalities (P values >.05). In the first half of the year, self-monitoring was significant in the 3 days following a prompt (t68=8.61; P<.001; d=0.60), and self-reported exercise was significant in the 3 days (t68=3.7; P<.001; d=0.37), 5 days (t67=2.15; P=.04; d=0.14), and 7 days (t68=2.46; P=.02; d=0.15) following a prompt, whereas no significant changes were found in the second half of the year. CONCLUSIONS: This study provides preliminary evidence regarding the potential influence of prompts on mHealth self-monitoring and self-reported exercise and the duration for which prompts may be effective as exercise behavior change tools. Future studies should determine the optimal prompting frequency for influencing self-reported exercise behaviors. Optimizing prompt frequency can potentially reduce intervention costs and promote user engagement. Furthermore, it can encourage consumers to self-monitor using mHealth technology while ensuring prompts are sent when necessary and effective. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR2-10.2196/11226.

Exploring the effectiveness of a school-based physical activity policy in British Columbia, Canada: a mixed-methods observational study.

The Daily Physical Activity (DPA) policy in British Columbia requires elementary schools to help students achieve 30 min of physical activity during instructional and noninstructional time on school days. The purpose of this study was to determine how elementary teachers implement the DPA policy, and examine differences in children's light physical activity (LPA) and moderate-to-vigorous physical activity (MVPA) at school, based on how the teacher implemented the DPA policy during the school day (provision of DPA during instructional time or only noninstructional time). In this observational mixed-methods study, 12 teachers were interviewed on their implementation approaches. Teachers provided DPA opportunities during instructional time (i.e., prescriptive implementers, n = 9) or relied on students to be active during noninstructional times (i.e., nonprescriptive, n = 3). Next, 10 students from each interviewed teacher's classroom were randomly selected to wear accelerometers for one school week. Hierarchical linear modeling was used to examine the contribution of teacher's implementation strategy on student's activity levels. t-Tests examined differences in students' activity levels between implementation groups. Teacher's DPA implementation strategy accounted for a significant proportion of variance in student's activity throughout the school day (p's < .05). The prescriptive group (n = 88) was more active (LPA and MVPA) and spent a greater proportion of their school days in MVPA during instructional time than the nonprescriptive group (n = 23). Heterogeneity in policy implementation creates variations in policy effectiveness. Students provided with opportunities to be active during instructional time may accumulate more MVPA compared with those who are not given these opportunities. Registration: Not applicable.

High-Intensity Interval or Continuous Moderate Exercise: A 24-Week Pilot Trial.

PURPOSE: High-intensity interval training (HIIT) may lead to superior cardiometabolic improvements when compared with moderate-intensity continuous training (MICT). However, adherence to HIIT requires examination. The purpose of this pilot study was to examine moderate-to-vigorous physical activity (MVPA) adherence 24 wk after a brief counseling intervention combined with either HIIT or MICT. METHODS: Individuals at high risk of type 2 diabetes (T2D) were randomized to HIIT (n = 15) or MICT (n = 17) and completed 10 exercise sessions accompanied by a brief 10-min counseling intervention over a 2-wk period. Objectively measured purposeful MVPA (accelerometry) and cardiorespiratory fitness (V˙O2peak) were assessed at baseline and 24 wk postintervention. Self-regulatory efficacy and task self-efficacy were examined at baseline, postintervention, and 24 wk postintervention. Using an intention-to-treat analysis, change scores were calculated for HIIT and MICT and compared between groups. RESULTS: Individuals assigned to HIIT increased their MVPA by 53 min (Cohen's d = 1.52) at 24 wk compared with 19 min in MICT. Both HIIT and MICT increased relative V˙O2peak by 2 and 1 mL·kg·min, respectively. Participants in both groups increased in their self-regulatory and task self-efficacy postintervention, but both groups demonstrated similar decline at 24 wk. CONCLUSION: This pilot intervention was successful in increasing, and maintaining, free-living MVPA over a 24-wk period in individuals at high risk of T2D. Speculation that HIIT is inappropriate or unattainable for overweight individuals at high risk of T2D may be unfounded.

Making one-sided exercise decisions: The influence of exercise-related cognitive errors.

Exercise-related cognitive errors reflect biased processing of exercise-relevant information. The purpose of this study was to examine whether differences existed between individuals reporting low and high exercise-related cognitive errors on information processed about a relevant exercise decision-making situation. In all, 138 adults completed an online questionnaire. The high exercise-related cognitive error group primarily focused on negative content about the situation compared to the low exercise-related cognitive error group who focused on both positive and negative content. The high exercise-related cognitive error group displayed biased processing of exercise information, as suggested by the cognitive errors model. Future research should examine whether biasing information processing caused by exercise-related cognitive errors can be modified and attenuated.

Perceiving Cardiac Rehabilitation Staff as Mainly Responsible for Exercise: A Dilemma for Future Self-Management.

BACKGROUND: Cardiac rehabilitation (CR) exercise therapy facilitates patient recovery and better health following a cardiovascular event. However, post-CR adherence to self-managed (SM)-exercise is suboptimal. Part of this problem may be participants' view of CR staff as mainly responsible for help and program structure. Does post-CR exercise adherence for those perceiving high CR staff responsibility suffer as a consequence? METHODS: Participants in this prospective, observational study were followed over 12 weeks of CR and one month afterward. High perceived staff responsibility individuals were examined for a decline in the strength of adherence-related social cognitions and exercise. Those high and low in perceived staff responsibility were also compared. RESULTS: High perceived staff responsibility individuals reported significant declines in anticipated exercise persistence (d = .58) and number of different SM-exercise options (d = .44). High versus low responsibility comparisons revealed a significant difference in one-month post-CR SM-exercise volume (d = .67). High perceived staff responsibility individuals exercised half of the amount of low responsibility counterparts at one month post-CR. Perceived staff responsibility and CR SRE significantly predicted SM-exercise volume, R2adj = .10, and persistence, R2adj = .18, one month post-CR. CONCLUSION: Viewing helpful well-trained CR staff as mainly responsible for participant behavior may be problematic for post-CR exercise maintenance among those more staff dependent.

Perceptions of exercise consistency: Relation to exercise-related cognitive errors and cognitions.

This study examined psychological differences between individuals (1) with varying perceptions of their exercise adherence pattern and (2) who do and do not make exercise-related cognitive errors. A total of 364 adults completed an exercise pattern and cognitive errors questionnaire. Individuals perceiving themselves as consistent exercisers reported more adaptive social cognitive outcomes (e.g. higher self-regulatory efficacy) than those perceiving themselves as inconsistent. Individuals expressing stronger exercise-related cognitive errors exercised less and reported problematic cognitions (e.g. more struggle with exercise decisions). These results link inconsistent adherence perceptions to weaker social cognitions and exercise-related cognitive errors, a novel form of bias related to limited exercise engagement.

Physical Activity in the Transition to University: The Role of Past Behavior and Concurrent Self-regulatory Efficacy.

OBJECTIVE: Two studies were conducted to examine the relationship between past physical activity, concurrent self-regulatory efficacy (CSRE), and current physical activity during the transition to university. PARTICIPANTS: Study 1 included 110 first-year undergraduate students recruited during October/November of 2012. Study 2 involved 86 first-year undergraduate students recruited during October/November of 2013. METHODS: Surveys were completed online, concurrently (Study 1) and prospectively (Study 2). RESULTS: CSRE was found to positively predict current physical activity participation in both studies. However, the relation of CSRE to physical activity was attenuated when past behavior was taken into account. CONCLUSIONS: Physical activity is one goal that university students pursue concurrently with other goals. Not only is current planned activity related to one's past participation in physical activity, it is also related to self-regulatory beliefs about managing that activity in the new context of university life.