Wearable device adherence among insufficiently-active young adults is independent of identity and motivation for physical activity.

Wearable devices are increasingly being integrated to improve prevention, chronic disease management and rehabilitation. Inferences about individual differences in device-measured physical activity depends on devices being worn long enough to obtain representative samples of behavior. Little is known about how psychological factors are associated with device wear time adherence. This study evaluated associations between identity, behavioral regulations, and device wear adherence during an ambulatory monitoring period. Young adults who reported insufficient physical activity (N = 271) were recruited for two studies before and after the SARS-COVID-19 pandemic declaration. Participants completed a baseline assessment and wore an Actigraph GT3X + accelerometer on their waist for seven consecutive days. Multiple linear regression indicated that wear time was positively associated with age, negatively associated with integrated regulation for physical activity, and greater after (versus before) the pandemic declaration. Overall, the model accounted for limited variance in device wear time. Exercise identity and exercise motivation were not associated with young adults' adherence to wearing the physical activity monitors. Researchers and clinicians can use wearable devices with young adults with minimal concern about systematic motivational biases impacting adherence to device wear.

Lifestyle Behaviors and Health-Related Quality of Life in Cancer Survivors: A Latent Class Analysis.

Healthy lifestyle behaviors can improve health-related quality of life (HRQOL) in cancer survivors; but the combination of behaviors most important for HRQOL is not known. This study investigated the patterns of lifestyle behaviors among cancer survivors and differences in HRQOL between behavioral classes. Cancer survivors (n = 2,463) were invited to participate in a cross-sectional survey. Participants (N = 591) were predominately female (63%) and non-Hispanic White (90%). Survey items included self-reported physical activity, diet, smoking, sleep, HRQOL, and demographics. Behavioral classes were estimated by latent class analysis. Differences between classes were assessed by latent class regression. Compared with the "healthy lifestyles" class (higher probabilities of meeting aerobic/strength-based activity guidelines, high fruit/vegetable intake, and no sleep problems; 11% of sample), the "sleep and diet problems with inconsistent physical activity" class (higher probabilities of not meeting strength-based guidelines, low fruit/vegetable intake, some sleep problems; marginally higher probability of meeting aerobic guidelines; 41%) had poorer general and physical HRQOL. The "poor physical activity and diet" class (higher probabilities of not meeting aerobic/strength-based guidelines, low fruit/vegetable intake, and some sleep problems; 48%) had poorer general, physical, and mental HRQOL. Few participants exhibited healthy lifestyle patterns associated with HRQOL. The findings provide opportunities to develop differentiated multiple behavior-change interventions, targeted to two common patterns of behavior. A large subgroup of cancer survivors was susceptible to suboptimal physical activity and diet, warranting interventions exclusively targeting these behaviors. Another subgroup was susceptible to suboptimal physical activity, diet, and sleep, indicating interventions for this group should include strategies targeting these three behaviors.

Healthier Energy Balance Behaviors Most Important for Health-Related Quality of Life in Rural Cancer Survivors in Central Pennsylvania.

BACKGROUND: Rural cancer survivors face a greater number of health disparities, including poorer health-related quality of life (HRQoL), than urban cancer survivors. Engagement in healthy lifestyle behaviors also varies between rural and urban cancer survivors. Lifestyle behaviors can improve HRQoL; however, the combination of behaviors most important for HRQoL in rural survivors is unclear. This study examined clusters of lifestyle behaviors in rural cancer survivors, and differences in HRQoL between behavioral clusters. METHODS: Rural cancer survivors in the United States (N = 219) completed a cross-sectional survey. Lifestyle behaviors were classified into unhealthy/healthy binary categories (inactive/active, longer/shorter sedentary time, excessive/acceptable fat intake, very low/higher fruit and vegetable intake, some/no alcohol consumption, and poor/good sleep quality). Behavioral clusters were identified by latent class analysis. HRQoL differences between behavioral clusters were assessed by ordinary least squares regression. RESULTS: The 2-class model demonstrated the best fit and interpretability. The "mostly unhealthy behaviors" class (38.5% of sample) had higher probabilities of all unhealthy behaviors, except alcohol consumption. The "healthier energy balance" class (61.5% of sample) had higher probabilities of active, shorter sedentary, higher fruit and vegetable consumption, excessive fat intake, some alcohol consumption, and poor sleep categories, and reported better HRQoL. CONCLUSIONS: Healthier energy balance behaviors were particularly relevant for HRQoL in rural cancer survivors. Multiple behavior change interventions to improve HRQoL in rural cancer survivors should focus on supporting energy balance behaviors. Many rural cancer survivors may lead very unhealthy lifestyles, placing them at high risk of adverse outcomes. This subpopulation should be prioritized to help alleviate cancer health disparities.

Broad versus narrow bandwidth measures of experienced automaticity for physical activity.

Objective: Physical activity is important for health, yet most young adults are insufficiently active. Physical activity is regulated in part, by habit, typically operationalised as automaticity. Little is known about the characteristics of automaticity, or whether broad bandwidth unidimensional measures of automaticity for physical activity are superior to narrower bandwidth multi- dimensional measures. Design: This secondary analysis (N = 238) investigated the nature of automaticity, and relations between the dimensions of automaticity, global automaticity, and physical activity.Main Outcome Measures: The structure of the Generic Multifaceted Automaticity Scale (GMAS) was examined by confirmatory factor analyses. Structural equation models were estimated to evaluate relations between automaticity (measured on the GMAS and the Self- Report Behavioral Automaticity Index, SRBAI) and device- measured activity.Results: The hypothesised 3- factor structure of the GMAS was rejected, in favour of a 2- factor solution. Lack of intention/control and efficiency were associated with global automaticity, but not physical activity. Global automaticity was associated with moderate to vigorous physical activity and daily steps, but not light physical activity.Conclusion: Multi- dimensional measures of automaticity may not provide a more nuanced understanding of automaticity when predicting overall physical activity.

Providing evidence from practice: Evaluating 4.5 years of implementing diabetes education support program in carbohydrate management.

OBJECTIVE: To evaluate personal and economical outcomes of CarbSmart, a 3-hour person-centered, theory-based program implemented throughout Australia, targeting optimal dietary carbohydrate management. METHODS: More than 500 CarbSmart programs were implemented over 4.5 years. Pre-, post-, (N = 4656) and 3-month follow-up assessments (N = 188) of knowledge, empowerment, confidence, and patient activation were collected from people with diabetes. Participant satisfaction and potential annual cost-savings were calculated. FINDINGS: Repeated measures ANCOVAs showed large improvements pre- to post-program in all outcome variables (d = 0.80-1.68), which were maintained at 3-month follow-up in a sub-sample. Participant satisfaction was high (Net Promoter Score = 72.3). Potential annual cost-savings nation-wide were estimated at US$512million. CONCLUSION: This paper provides evidence that CarbSmart is effective in improving behavioral indicators of self-management outcomes in Australians living with diabetes. PRACTICE IMPLICATIONS: CarbSmart has the potential to prevent diabetes-related complications. However, not engaging people living with diabetes with lower levels of patient activation at baseline was recognized as a future opportunity to improve the impact of our service. Strategies are needed to engage people with lower activation levels to improve outcomes in vulnerable and at-risk populations. FUNDING: The development of CarbSmart was funded by Diabetes WA, the national implementation of CarbSmart by the National Diabetes Services Scheme, an initiative of the Australian Government.

The Aussie-FIT process evaluation: feasibility and acceptability of a weight loss intervention for men, delivered in Australian Football League settings.

OBJECTIVE: This process evaluation aimed to evaluate the feasibility and acceptability of Aussie-FIT, a group-based weight loss intervention for men with overweight and obesity in Australia. DESIGN: Process data and data collected from: (1) six-participant focus groups (n= 24), (2) coach interviews (n = 4), (3) audio recordings of Aussie-FIT sessions and (4) post-program participant surveys (n= 93) were analysed. MAIN OUTCOME MEASURES: We explored the feasibility and acceptability of program setting and context, recruitment strategies, factors impacting implementation and mechanisms of impact. RESULTS: Recruitment via Australian Football League (AFL) clubs was highly effective; 426 men expressed interest within 3 days of advertising, 130 men took part. Program attendance was not consistently recorded by coaches. Coach interviews indicated a 'core group of men' participated in each session (typically 10-12 of 15 men). Program delivery proved feasible in the AFL context. Program acceptability and satisfaction were high. Internalisation of autonomous motives was identified as driving behaviour change. Behaviour change to support maintained weight loss was facilitated through habit formation, goal setting and effective management of multiple goals. CONCLUSION: Aussie-FIT sets a blueprint for future weight loss interventions that utilise behaviour change strategies and principles of self-determined motivation to support men to lose weight. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry: ACTRN12617000515392.© 2021 Informa UK Limited, trading as Taylor & Francis Group.

Challenges to Engaging Older Adults in a Group-Based Walking Intervention: Lessons From the Residents in Action Trial.

This qualitative research explored older adults' perceptions of participating in group-based walking programs set in independent-living retirement village contexts. Semistructured interviews were conducted with a subset of participants from the Residents in Action Trial. Data were analyzed through a combination of deductive and inductive thematic analysis. Findings were interpreted from a social identity perspective. Five themes were identified: (a) varying levels of social cohesion in retirement villages; (b) degree of shared identity between residents; (c) health, mobility, and preferred pace; (d) devotion to spouse; and (e) busy lives. When designing group-based walking interventions in retirement villages, it is important to consider community-level social cohesion and degree of relatedness between village residents. When attempting to build a sense of shared identity and relatedness between group members, researchers and policy makers should consider differing backgrounds, capabilities, schedules, and interests of participants.

A gender-sensitised weight-loss and healthy living program for men with overweight and obesity in Australian Football League settings (Aussie-FIT): A pilot randomised controlled trial.

BACKGROUND: Recent evidence shows that sport settings can act as a powerful draw to engage men in weight loss. The primary objective of this pilot study was to test the feasibility of delivering and to evaluate preliminary efficacy of Aussie-FIT, a weight-loss program for men with overweight/obesity delivered in Australian Football League (AFL) settings, in preparation for a future definitive trial. METHODS AND FINDINGS: This 6-month pilot trial took place in Perth, Australia. Participants were overweight/obese (Body Mass Index [BMI] ≥ 28 kg/m2), middle-aged (35-65 years old) men. Participants were recruited in May 2018, and the intervention took place between June and December 2018. The intervention involved 12 weekly 90-min face-to-face sessions, incorporating physical activity, nutrition, and behaviour change information and practical activities delivered by coaches at 2 clubs. Data were collected at baseline and immediately postintervention. For trial feasibility purposes, 6-month follow-ups were completed. Outcomes were differences in weight loss (primary outcome) and recruitment and retention rates, self-reported measures (for example, psychological well-being), device-measured physical activity, waist size, and blood pressure at 3 months. Within 3 days of advertising at each club, 426 men registered interest; 306 (72%) were eligible. Men were selected on a first-come first-served basis (n = 130; M age = 45.8, SD = 8; M BMI = 34.48 kg/m2, SD = 4.87) and randomised by a blinded researcher. Trial retention was 86% and 63% at 3- and 6-month follow-ups (respectively). No adverse events were reported. At 3 months, mean difference in weight between groups, adjusted for baseline weight and group, was 3.3 kg (95% CI 1.9, 4.8) in favour of the intervention group (p < 0.001). The intervention group's moderate-to-vigorous physical activity (MVPA) was higher than the control group by 8.54 min/day (95% CI 1.37, 15.71, p = 0.02). MVPA among men attracted to Aussie-FIT was high at baseline (intervention arm 35.61 min/day, control arm 38.38 min/day), which may have limited the scope for improvement. CONCLUSIONS: Aussie-FIT was feasible to deliver; participants increased physical activity, decreased weight, and reported improvements in other outcomes. Issues with retention were a limitation of this trial. In a future, fully powered randomised controlled trial (RCT), retention could be improved by conducting assessments outside of holiday seasons. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry: ACTRN12617000515392.

Physical Activity in Peri-Urban Communities: Testing Intentional and Implicit Processes within an Ecological Framework.

BACKGROUND: Given the substantive health inequalities in peri-urban communities and the potential for physical activity to promote health in these communities, identifying modifiable physical activity determinants in this population is important. This study explored effects of the peri-urban environment and psychological constructs on physical activity intentions and behavioural automaticity guided by an integrated theoretical framework. METHODS: Peri-urban Australians (N = 271) completed self-report measures of environmental (i.e. physical/social environment, and neighbourhood selection), motivational (i.e. autonomous motivation), and social cognition (i.e. attitudes, norms, and perceived behavioural control [PBC]) constructs, past behaviour, intentions, and automaticity. RESULTS: A well-fitting path analytic model revealed that: autonomous motivation predicted all social cognition constructs; subjective norms and PBC, but not attitudes; autonomous motivation predicted intentions and automaticity; and subjective norms and PBC mediated effects of autonomous motivation on intentions. Of the environmental constructs, only neighbourhood selection was related to intentions, mediated by PBC. CONCLUSIONS: Autonomous motivation is an important correlate of physical activity intentions and automaticity, and subjective norms and PBC also related to intentions. Individuals perceiving a supportive environment were more likely to report positive PBC and intentions. Targeting change in autonomous motivation, and normative and control beliefs may help enhance physical activity intentions and automaticity in peri-urban communities.

Not quite city and not quite rural: Active lifestyle beliefs in peri-urban Australians.

ISSUE ADDRESSED: Residents of peri-urban Australia face health inequalities compared to city dwellers. Active lifestyles provide many benefits that could improve the health of this population; however, peri-urban Australians are more likely to be inactive and sedentary. The aim of this study was to identify the physical activity and sedentary behaviour-related beliefs of peri-urban Australians. METHODS: Semi-structured interviews were undertaken with adult residents of peri-urban, southern Queensland. Participants (N = 8) were recruited from a related study, purposefully selected to ensure diversity. Data were analysed by thematic analysis. Interviews were conducted until data and inductive-thematic saturation were reached. RESULTS: Three themes were identified, representing beliefs about intrapersonal, interpersonal/socio-cultural and physical environmental factors relevant to active lifestyles among peri-urban Australians. Active lifestyle behaviours were perceived as beneficial for health. Social interaction was described as an important outcome of physical activity. Features of the physical environment negatively impacted the perceived difficulty of performing physical activity and avoiding sedentary behaviour. CONCLUSIONS: Active lifestyle strategies that support social interaction through physical activity and participation in sports may be particularly useful in peri-urban environments where opportunities for social interaction are limited. Such strategies should also take into account contextual factors that negatively impact active lifestyle control beliefs (eg, distance). SO WHAT?: This study provides insight into factors that may influence the active lifestyles of peri-urban Australians. This information can be used to develop contextually relevant strategies designed to encourage physical activity, discourage sedentary behaviour and assist to relieve health disparities faced by this population.

Inactive lifestyles in peri-urban Australia: A qualitative examination of social and physical environmental determinants.

ISSUE ADDRESSED: Australians living in peri-urban areas are insufficiently active, sedentary and experience poorer health than people in major cities. There are health benefits attributable to active lifestyles that could contribute to the improved health and well-being of this population. To support the adoption of active lifestyles, it is important to understand the unique context in which behaviour occurs. METHODS: The aim of this study was to identify characteristics of the social and physical peri-urban environment that may impact active lifestyles. Semi-structured interviews were conducted in peri-urban southern Queensland. Data were analysed by thematic analysis. RESULTS: The natural environment, weather, distance, accessibility and walkability were features of the physical environment relevant to active lifestyles. Social factors included social capital and crime. Activity-supportive characteristics (eg, community spirit) were identified, in addition to active lifestyle barriers (eg, lack of public transport). CONCLUSIONS: Despite activity-supportive social and environmental characteristics, most participants reported inactive lifestyles. The barriers to active lifestyles in peri-urban environments may negate these activity-supportive features. Some barriers are difficult to modify (eg, distance and accessibility). However, some may be alleviated through the adoption of activity-supportive policy and urban design (eg, pedestrian mobility infrastructure). SO WHAT?: Strategies to support active lifestyles in peri-urban environments must take into account unmodifiable contextual barriers, whilst encouraging utilisation of existing activity-supportive infrastructure and resources. The enhancement of activity-supportive environments through improved neighbourhood walkability and the usability of public transport may encourage some peri-urban residents to undertake more active forms of transport and recreational physical activity.