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Background: Few mobile health resistance-based physical activity interventions have targeted community-dwelling adults. "Ecofit" is a multicomponent intervention that promotes resistance and aerobic activities using smartphone technology, outdoor gyms, and social support. This study evaluated process evaluation outcomes of the ecofit randomized controlled trial: (1) the acceptability and usability of the ecofit smartphone app and app user workouts; (2) perceptions of factors influencing outdoor gym use; and (3) the fidelity, reach, recruitment, and dose received of the ecofit program. Methods: Process data were collected through program evaluation surveys at 3 months, and app usage data were collected via the intervention platform for up to 3 months. Data were analyzed using descriptive statistics. Results: The survey was completed by 57% (n = 69) of eligible participants. The majority (93%) believed the app provided them with sufficient information to perform muscle-strengthening activities. Approximately half (51%) agreed that the goal-setting function encouraged them to complete their workouts, and 42% agreed that the self-assessment helped them monitor progress. "Proximity" to outdoor gyms emerged as the most important factor for choosing locations to workout (mean = 5.5, SD = 1.1). Participants logged a median of 5.5 (interquartile range = 19) workouts and 1 (interquartile range = 1) upper- and lower-body muscular fitness self-assessment. Conclusions: The ecofit app provided participants with sufficient skills to perform unsupervised resistance training exercises using mobile health. Only half of the participants regarded self-assessments and goal setting as useful, suggesting a need for modifications to how these are implemented. Mobile health remains a promising delivery platform to promote unsupervised resistance training, although more research is needed to improve uptake. [ABSTRACT FROM AUTHOR]

Introduction: The relationship between intervention engagement and behaviour change may vary depending on the specific engagement metric being examined. To counter this composite engagement measures may provide a deeper understanding of the relationship between engagement and behaviour change, though few studies have applied such multidimensional engagement metrics. The aim of this secondary analysis of RCT data was to examine how a composite engagement score mediates the effect of a web-based computer-tailored physical activity intervention. Methods: 501 inactive Australian adults were randomised to a no-treatment control or intervention group. Intervention participants received 8 sessions of web-based personalised physical activity advice over a 12-week intervention period and the ability to complete action plans. Change in physical activity was assessed using Actigraph accelerometers at baseline, 3-months and 9-months. Engagement with the intervention (i.e., a composite score including frequency, intensity, duration and type) was continuously assessed during the intervention period using website tracking software and database metrics. Generalised structural equation models were used to examine how a composite engagement score mediated intervention effects at 3 months and 9 months. Results: At 3 months, mediation analysis revealed that the intervention group had significantly higher engagement scores than the control group [a-path exp(b) = 6.462, 95% CI = 5.121–7.804, p < 0.001]. Further, increased engagement with the intervention platform was associated with an increased time spent in moderate-to-vigorous physical activity [ab-coefficient exp(b) = 1.008, 95% CI = 1.004–1.014, P < 0.001]; however, the magnitude of this effect was small. There were no significant mediation effects at the 9-month time point. Discussion: The findings suggest that a composite intervention engagement score has a small positive influence on physical activity changes and that other factors (e.g., behaviour change techniques) are likely to be more important drivers of behaviour change. [ABSTRACT FROM AUTHOR]

Background: The COVID-19 global pandemic greatly impacted lifestyles and physical activity routines. This study explored how the COVID-19 pandemic impacted participant experience and motivation in ecofit, a large, community-based, multicomponent intervention that supports aerobic and resistance-based physical activity using publicly available, outdoor exercise facilities and smartphone technology. Methods: Fifteen participants from the intervention arm of the study were interviewed. Audiotaped telephone interviews were transcribed verbatim and analyzed by a researcher uninvolved in the intervention. Through an inductive thematic approach, data were coded and organized into themes. The quantitative measure of participant smartphone application engagement was used as a classification during analysis. Results: Several themes representing participants' experience of the COVID-19 pandemic in their engagement with ecofit, overall physical activity levels, motivation to exercise, and perception and usage of outdoor gym facilities were identified. Conclusion: The impact of the COVID-19 pandemic on clinical trials is beginning to emerge. Although the present study showed a mixed impact of the pandemic on participation in the ecofit program, the overall implications for the intervention are yet to be determined. Interestingly, although a large review found a negative impact of COVID-19 on physical activity, this sample reported an overall increase. [ABSTRACT FROM AUTHOR]

This study aims to compare the effectiveness, engagement, usability, and acceptability of a web-based, computer-tailored physical activity intervention (provided as video or text) between participants who were matched or mismatched to their self-reported learning style (visual and auditory delivery through video or text-based information). Generalised linear mixed models were conducted to compare time (baseline, 3 months) by group (matched, mismatched) on ActiGraph-GT3X+measured moderate-to-vigorous physical activity (MVPA) and steps. Generalised linear models were used to compare group (matched and mismatched) on session completion, time-on-site, usability, and acceptability. MVPA and steps improved from baseline to 3-months, however this did not differ between participants whose learning styles were matched or mismatched to the intervention they received. Session completion, time-on-site, usability, and acceptability did not differ between matched and mismatched participants. Therefore, aligning intervention delivery format to learning style is unlikely to influence intervention effectiveness or engagement. [ABSTRACT FROM AUTHOR]

In Australia, 45% of adults meet the aerobic recommendations, and only 9%−30% meet the resistance training guidelines. Given the lack of at-scale community-based interventions promoting resistance training, the aim of this study was to assess the impact of an innovative mHealth intervention on upper- and lower-body muscular fitness, cardiorespiratory fitness, physical activity, and social-cognitive mediators among a sample of community-dwelling adults. Researchers evaluated the community-based ecofit intervention using a cluster RCT from September 2019 to March 2022 in 2 regional municipalities of New South Wales, Australia. Researchers recruited a sample of 245 participants (72% female, aged 53.4±13.9 years) who were randomized to the ecofit intervention group (n =122) or waitlist control (n =123) group. The intervention group received access to a smartphone application with standardized workouts tailored to 12 outdoor gym locations and an introductory session. Participants were encouraged to perform at least 2 ecofit workouts per week. Primary and secondary outcomes were assessed at baseline, 3 months, and 9 months. The coprimary muscular fitness outcomes were evaluated using the 90-degree push-up and the 60-second sit-to-stand test. Intervention effects were estimated using linear mixed models accounting for group-level clustering (participants could enroll in groups of up to 4). Statistical analysis was conducted in April 2022. Statistically significant improvements were observed in upper (1.4 repetitions, 95% CI=0.3, 2.6, p =0.018) and lower (2.6 repetitions, 95% CI=0.4, 4.8, p =0.020) body muscular fitness at 9 months but not at 3 months. Increases in self-reported resistance training, resistance training self-efficacy, and implementation intention for resistance training were statistically significant at 3 and 9 months. This study has shown that a mHealth intervention promoting resistance training using the built environment can improve muscular fitness, physical activity behavior, and related cognitions in a community sample of adults. This trial was preregistered with the Australian and New Zealand Clinical Trial Registry (ACTRN12619000868189). [ABSTRACT FROM AUTHOR]

• Not meeting sleep duration and activity guidelines increased mortality risk • Mortality risks of short or long sleep are reduced by meeting activity guidelines • Interventions targeting physical activity and sleep duration may be beneficial To examine the joint associations between meeting guidelines for physical activity (PA) and sleep duration and all-cause mortality risk among adults. Participants were adults (n = 282,473) aged 18–84 years who participated in the 2004–2014 U.S. National Health Interview Survey. Mortality status was ascertained using the National Death Index through December 2015. Self-reported PA (Active: meeting both aerobic (AER) and muscle-strengthening (MSA) guidelines, AER only (AER), MSA only (MSA), or not meeting either AER or MSA (Inactive)) and sleep duration (Short, recommended (Rec), or Long) were classified according to guidelines, and 12 PA–sleep categories were derived. Adjusted hazard ratios and 95% confidence intervals (95%CIs) for all-cause mortality risk were estimated using Cox proportional hazards regression models. A total of 282,473 participants (55% females) were included; 18,793 deaths (6.7%) occurred over an average follow-up of 5.4 years. Relative to the Active-Rec group, all other PA-sleep groups were associated with increased mortality risk except for the Active-Short group (hazard ratio = 1.08; 95%CI: 0.92–1.26). The combination of long sleep with either MSA or Inactive appeared to be synergistic. For a given sleep duration, mortality risk progressively increased among participants classified as AER, MSA, and Inactive. Within each activity level, the mortality risk was greatest among adults with long sleep. Relative to adults meeting guidelines for both PA and sleep duration, adults who failed to meet guidelines for both AER and muscle strengthening PA and who also failed to meet sleep duration guidelines had elevated all-cause mortality risks. These results support interventions targeting both PA and sleep duration to reduce mortality risk. [Display omitted] [ABSTRACT FROM AUTHOR]

Purpose: This study was designed to assess the feasibility and preliminary efficacy of a teacher-facilitated high-intensity interval training intervention for older adolescents (ie, 16–18 y). Methods: Two secondary schools from New South Wales, Australia were recruited, and participants (ie, grade 11 students; 16.2 [0.4] y) were randomized at the school level to the Burn 2 Learn intervention (n = 38), or a wait-list control group (n = 30). Teachers were trained to facilitate the delivery of the novel high-intensity interval training program, which involved 3 sessions per week (∼12–20 min) for 14 weeks. A range of process measures were used to assess intervention feasibility (ie, recruitment, retention, attendance, and program satisfaction). Primary (cardiorespiratory fitness, determined using the progressive aerobic cardiovascular endurance run shuttle run test) and secondary outcomes were assessed at baseline and posttest (14-wk). Results: Sixty-eight grade 11 students were recruited at baseline (85% of target sample), 61 participants completed posttest assessments (90% retention) and on average, participants performed 1.9 sessions per week. Overall, teachers (4.0/5) and students (4.0/5) were satisfied with the Burn 2 Learn program. Group by time effects were observed for cardiorespiratory fitness (8.9 laps; 95% confidence intervals, 1.7–16.2) and a selection of secondary outcomes. Conclusion: This study provides evidence for the feasibility and preliminary efficacy of a teacher-facilitated high-intensity interval training intervention for older adolescents. [ABSTRACT FROM AUTHOR]

Background: Mobile app-based interventions have the potential for wide-reach and therefore may be a useful tool in up-scaling physical activity interventions. In larger-scale interventions, face-to-face assessments are less cost-effective, and researchers often rely on surveys or activity trackers to assess outcomes. However, there is limited evidence of valid muscular fitness assessments that can be self-administered within mHealth interventions. As such, this study will evaluate the concurrent validity of upper and lower body muscular fitness that have been independently assessed by participants via the ecofit app, and face-to-face assessments conducted by a trained researcher. Methods: This study compared baseline data from two muscular fitness tests from the ecofit two-armed randomised controlled trial and self-assessed data collected via the ecofit smartphone app (i.e., validated 90-degree push-up and 60-second sit-to-stand test). To assess the concurrent validity, the self-assessed push-up and sit-to-stand tests (i.e., collected via the ecofit app) were correlated using Spearman's correlation coefficient against the researcher-assessed results (i.e., objective results collected during baseline assessment for the ecofit trial). Bland-Altman plots were also used to allow visualisation of the differences between the self- and research-assessed tests. Results: Participants (N = 54) completed the push-up (24.1%) and sit-to-stand (100%) tests within 14-days of receiving the app. The results revealed a strong significant correlation for the push-up test (0.83, p<0.001) and a moderate significant correlation for the sit-to-stand test (0.63, p<0.001). Conclusion: This study provides support for the concurrent validity of self-reported upper and lower body muscular fitness assessments (i.e., the push-up and sit-to-stand tests) in mHealth. While these tests may be a feasible option for large scale physical activity interventions, more research is needed to determine the generalisability of these results. [ABSTRACT FROM AUTHOR]

Participation in regular physical activity has significant physical, psychological, and social benefits, including the prevention and treatment of Type 2 Diabetes (T2D). The primary aim of this paper was to evaluate the impact of theeCoFit physical activity intervention on depression and anxiety symptoms among adults at risk of, or diagnosed with, T2D. The primary outcomes were assessed using Patient Health Questionnaire-9, and Generalised Anxiety Disorder-7. The secondary aim was to test for the potential mediators for the intervention effect on mental health. The 20-week intervention was evaluated using a two-arm randomised controlled trial with await list control group. The intervention included two phases: Phase 1 integrated group face-to-face sessions and the use of the eCoFit smartphone application (app); and Phase 2 that included the use of the app only. Participants (n = 84) were assessed at baseline and 10- and 20-weeks post-baseline. Social support, self-efficacy, nature-relatedness, and perceived sleep quality were examined as potential mechanisms for the intervention effects on mental health. A significant interaction for depression severity was observed at 20-weeks (−1.76, CI −3.48, −05, p=.044, d= −0.35). There were no significant intervention effects for anxiety or any of the potential mechanisms. [ABSTRACT FROM AUTHOR]

• Acceptability of the TaylorActive intervention website was rated mostly high in the video-tailored and text-tailored intervention groups. • Usability was rated high across the 3 groups with no significant between-group differences. • Usage of the TaylorActive website was modest in both video-tailored and text-tailored intervention groups. • Perceived usefulness of the TaylorActive website for increasing physical activity was rated low in both intervention groups, albeit significantly higher compared to the control group. • Satisfaction with the TaylorActive website was mixed. Intervention participants liked its ease of use, personalized feedback, and tracking of progress; however, they found completing action plans and survey questions each week repetitive and tedious. This study aimed to examine the usage, acceptability, usability, perceived usefulness, and satisfaction of a web-based video-tailored physical activity (PA) intervention (TaylorActive) in adults. In 2013–2014, 501 Australian adults aged 18+ years were randomized into a video-tailored intervention, text-tailored intervention, or control group. Over 3 months, the intervention groups received access to 8 sessions of personally tailored PA advice delivered via the TaylorActive website. Only the delivery method differed between the intervention groups: video-tailored vs. text-tailored. Google Analytics and telephone surveys conducted at post intervention (3 months) were used to assess intervention usage, acceptability, usability, perceived usefulness, and satisfaction. Quantitative and qualitative process data were analyzed using descriptive statistics and thematic content analysis. Of 501 recruited adults, 259 completed the 3-month post-intervention survey (52% retention). Overall, usage of the TaylorActive website with respect to number of website visits, intervention sessions, and action plans completed was modest in both the video-tailored (7.6 ± 7.2 visits, mean ± SD) and text-tailored (7.3 ± 5.4 visits) groups with no significant between-group differences. The majority of participants in all groups used the TaylorActive website less than once in 2 weeks (66.7% video-tailored, 62.7% text-tailored, 87.5% control; p < 0.001). Acceptability was rated mostly high in all groups and, in some instances, significantly higher in the intervention groups compared to the control group (p < 0.010). Usability was also rated high; mean Systems Usability Scores were 77.3 (video-tailored), 75.7 (text-tailored), and 74.1 (control) with no significant between-group differences. Perceived usefulness of the TaylorActive intervention was low, though mostly rated higher in the intervention groups compared to the control group (p < 0.010). Satisfaction with the TaylorActive website was mixed. Participants in both intervention groups liked its ease of use, personalized feedback, and tracking of progress, but also found completing action plans and survey questions for each session repetitive and tedious. Providing personally tailored PA advice on its own (through either video or text) is likely insufficient to ensure good retention, usage, perceived usefulness, and satisfaction with a web-based PA intervention. Strategies to address this may include the incorporation of additional intervention components such as activity trackers, social interactions, gamification, as well as the use of advanced artificial intelligence and machine learning technologies to allow more personalized dialogue with participants. [Display omitted] [ABSTRACT FROM AUTHOR]

Background: The aim was to assess the feasibility and preliminary efficacy of a community-based physical activity (PA) intervention targeting mothers and daughters. Methods: A randomized controlled trial of 48 primary school-aged girls and their 40 mothers were randomized to (i) Mothers And Daughters Exercising for Life (MADE4Life) (n = 21 mothers, n = 25 daughters) or (ii) wait-list control (n = 19 mothers, n = 23 daughters). The 8-week program involved 8 sessions; 25-minute separate mothers and daughters education sessions and 60-minutes PA together. Assessments were at baseline, postintervention and 3-month postintervention. Primary outcome measure was daughters' moderate-to-vigorous physical activity (MVPA) (accelerometer). Secondary outcomes included accelerometer-assessed light/moderate/vigorous PA. BMI. waist circumference, body composition, blood pressure, resting heart rate, sedentary behaviors and mothers' self-reported PA, parenting measures, and cognitions. Intention-to-treat analysis used linear mixed models. Results: Recruitment and retention goals were exceeded. Attendance rates, program acceptability and satisfaction were high. There was no significant group-by-time effect for daughters' %MVPA (-0.08; 95%CI-1.49, 1.33, d = -0.03) or other secondary outcomes for girls (postintervention range d = 0.01 to -0.46). Significant intervention effects were found for mothers' %VPA (P = .04. d = 0.25) and role modeling (P = .02, d = 0.66). Conclusion: MADIALife was both feasible and acceptable. Although very small effect sizes were found for the daughters, significant changes were seen for mothers (d = 0.25 to 0.66). Future fully powered trials targeting PA in mothers and daughters is warranted. [ABSTRACT FROM AUTHOR]

Background: Cardiorespiratory fitness (CRF) is an important marker of current and future health status. The primary aim of our study was to evaluate the impact of a time-efficient school-based intervention on older adolescents' CRF.Methods: Two-arm cluster randomised controlled trial conducted in two cohorts (February 2018 to February 2019 and February 2019 to February 2020) in New South Wales, Australia. Participants (N=670, 44.6% women, 16.0±0.43 years) from 20 secondary schools: 10 schools (337 participants) were randomised to the Burn 2 Learn (B2L) intervention and 10 schools (333 participants) to the control. Teachers in schools allocated to the B2L intervention were provided with training, resources, and support to facilitate the delivery of high-intensity interval training (HIIT) activity breaks during curriculum time. Teachers and students in the control group continued their usual practice. The primary outcome was CRF (20 m multi-stage fitness test). Secondary outcomes were muscular fitness, physical activity, hair cortisol concentrations, mental health and cognitive function. Outcomes were assessed at baseline, 6 months (primary end-point) and 12 months. Effects were estimated using mixed models accounting for clustering.Results: We observed a group-by-time effect for CRF (difference=4.1 laps, 95% CI 1.8 to 6.4) at the primary end-point (6 months), but not at 12 months. At 6 months, group-by-time effects were found for muscular fitness, steps during school hours and cortisol.Conclusions: Implementing HIIT during curricular time improved adolescents' CRF and several secondary outcomes. Our findings suggest B2L is unlikely to be an effective approach unless teachers embed sessions within the school day.Trial Registration Number: Australian New Zealand Clinical Trials Registry (ACTRN12618000293268). [ABSTRACT FROM AUTHOR]

Background: This study examined potential parenting-related mediators of children's physical activity and dietary behavior change in the Healthy Dads, Healthy Kids (HDHK) community program. Methods: A randomized controlled trial was conducted with 45 overweight/obese (mean [SD] age = 39.8 [5.4] years; BMI = 32.4 [3.8]) fathers and their children (n = 77; 58% boys; mean [SD] age = 7.7 [2.5] years). Families were randomized to either the HDHK program or wait-list control group. The program involved 7 sessions. Fathers and their children were assessed at baseline and at 14 weeks for physical activity (pedometery) and core food intake (Questionnaire). Fathers' lifestyle-related parenting practices included; self-efficacy, beliefs, modeling, logistic support, rules, cophysical activity, shared mealtime frequency and intentions. Results: Significant intervention effects were found for cophysical activity and modeling physical activity. Cophysical activity mediated children's physical activity in the intervention ('mediated effect,' AB = 653, 95% CI = 4-2050) and was responsible for 59.5% of the intervention effect. Fathers' beliefs mediated children's percent energy from core foods (AB = 1.51, 95% CI = 0.05-5.55) and accounted for 72.9% of the intervention effect. Conclusions: Participation in the HDHK program positively impacted on fathers' cophysical activity with their child and beliefs about healthy eating which mediated changes in children's diet and physical activity behaviors. [ABSTRACT FROM AUTHOR]

Background: According to social-cognitive theory (SCT), self-efficacy affects health behavior both directly and indirectly by influencing how individuals perceive their environment. This study examines whether perceptions of home and school environment mediate the association between self-efficacy and physical activity (PA) and sedentary behavior in adolescent girls. Methods: Baseline data from the Nutrition and Enjoyable Activity for Teen Girls (NEAT) was used for this study. Grade 8 female students (n = 357) were recruited from 12 secondary schools located in low-income communities in the Hunter Region, New South Wales, Australia. PA was assessed using accelerometers, and sedentary behavior by self-report and accelerometers. Self-reported measures were used for perceived home and school environment and self-efficacy. Multilevel regression models were calculated to determine if the perceived environment mediated the relationship between self-efficacy with both PA and sedentary behavior. Results: The perceptions of the school and home environment did not mediate the relationship between PA self-efficacy and PA behavior or sedentary behavior. Conclusion: The mediated models were not supported for PA or sedentary behavior. However, other results of this paper may be helpful for future theory development and practice. More research is needed to understand behaviors in unique populations such as this. [ABSTRACT FROM AUTHOR]

Abstract Background While strong and consistent evidence supports the role of lifestyle modification in the prevention and management of type 2 diabetes (T2DM), the best strategies for program implementation to support lifestyle modification within primary care remain to be determined. The objective of the study is to evaluate the implementation of an evidence-based self- management program for patients with T2DM within a newly established primary care network (PCN) environment. Method Using a non-randomized design, participants (total N = 110 per group) will be consecutively allocated in bi-monthly blocks to either a 6-month self-management program lead by an Exercise Specialist or to usual care. Our primary outcome is self-reported physical activity and pedometer steps. Discussion The present study will assess whether a diabetes self-management program lead by an Exercise Specialist provided within a newly emerging model of primary care and linked to available community-based resources, can lead to positive changes in self-management behaviours for adults with T2DM. Ultimately, our work will serve as a platform upon which an emerging model of primary care can incorporate effective and efficient chronic disease management practices that are sustainable through partnerships with local community partners. Clinical Trials Registration ClinicalTrials.gov identifier: NCT00991380

Objectives: Some online, personally tailored, text-based physical activity interventions have proven effective. However, people tend to 'skim' and 'scan' web-based text rather than thoroughly read their contents. In contrast, online videos are more engaging and popular. We examined whether web-based personally tailored physical activity videos were more effective in promoting physical activity than personally tailored text and generic information.Methods: 501 adults were randomised into a video-tailored intervention, text-tailored intervention or control. Over a 3-month period, intervention groups received access to eight sessions of web-based personally tailored physical activity advice. Only the delivery method differed between intervention groups: tailored video versus tailored text. The primary outcome was 7-day ActiGraph-GT3X+ measured moderate-to-vigorous physical activity (MVPA) assessed at 0, 3 and 9 months. Secondary outcomes included self-reported MVPA and website engagement. Differences were examined using generalised linear mixed models with intention-to-treat and multiple imputation.Results: Accelerometer-assessed MVPA increased 23% in the control (1.23 (1.06, 1.43)), 12% in the text-tailored (1.12 (0.95, 1.32)) and 28% in the video-tailored (1.28 (1.06, 1.53)) groups at the 3-month follow-up only, though there were no significant between-group differences. Both text-tailored (1.77 (1.37, 2.28]) and video-tailored (1.37 (1.04, 1.79)) groups significantly increased self-reported MVPA more than the control group at 3 months only, but there were no differences between video-tailored and text-tailored groups. The video-tailored group spent significantly more time on the website compared with text-tailored participants (90 vs 77 min, p=0.02).Conclusions: The personally tailored videos were not more effective than personally tailored text in increasing MVPA. The findings from this study conflict with pilot study outcomes and previous literature. Process evaluation and mediation analyses will provide further insights.Trial Registration Number: ACTRN12615000057583. [ABSTRACT FROM AUTHOR]

Background: Little is known about the intrapersonal and social factors associated with sufficient physical activity (PA) for cancer prevention, which is greater than for cardiovascular health. Methods: 1087 and 1684 randomly selected men and women, age 35-64, completed self-administered questionnaires on PA behavior and psycho-social characteristics. Using gender-stratified logistic regression, we investigated correlates of compliance with Canadian Society for Exercise Physiology PA guidelines for general health (150 min/wk), and the American Cancer Society (ACS; 225 min/wk) and World Cancer Research Fund/American Institute for Cancer Research (WCRF/AIRC; 420 min/wk) guidelines for cancer prevention. Results: Only 39% and 19% of men and women met ACS and WCRF/AICR guidelines, respectively. Self-efficacy, scheduling PA and friend social support were positively correlated with recommended PA for cancer prevention. In men, poor self-rated health and perceived negative outcomes were negatively correlated and hypertension was positively correlated with meeting cancer prevention guidelines. For women, not being married and having a companion for PA were positively correlated with meeting cancer prevention guidelines. Conclusions: Few adults participate in sufficient PA for cancer risk reduction. Multidimensional public health strategies that incorporate intrapersonal and social factors and are tailored for each gender are needed to promote PA for cancer prevention. [ABSTRACT FROM AUTHOR]

Process evaluations can help to optimise the implementation of school-based physical activity interventions. The purpose of this paper is to describe the process evaluation of a school-based high-intensity interval training (HIIT) program for older adolescent students, known as Burn 2 Learn (B2L). B2L was evaluated via a cluster randomised controlled trial in 20 secondary schools (10 intervention, 10 control) in New South Wales, Australia. Teachers (n = 22 (55% female)) from the 10 intervention schools, delivered the program over three phases (Phases 1 and 2, 6 months; Phase 3, 6 months) to older adolescent students (n = 337 (50% female); mean ± standard deviation (SD) age = 16.0 ± 0.4 years). Process evaluation data were collected across the 12-month study period. Teachers delivered 2.0 ± 0.8 and 1.7 ± 0.6 sessions/week in Phases 1 and 2 respectively (mean total 25.9 ± 5.2), but only 0.6 ± 0.7 sessions/week in Phase 3. Observational data showed that session quality was high, however heart rate (HR) data indicated that only half of the students reached the prescribed threshold of ≥85% predicted HRmax during sessions. Over 80% of teachers reported they intended to deliver the B2L program to future student cohorts. Almost 70% of students indicated they intended to participate in HIIT in the future. Teachers considered the program to be adaptable, and both students and teachers were satisfied with the intervention. B2L was implemented with moderate-to-high fidelity in Phases 1 and 2, but low in Phase 3. Our findings add to the relatively scant process evaluation literature focused on the delivery of school-based physical activity programs. [ABSTRACT FROM AUTHOR]

Objectives: Examining mediators of intervention efficacy in an m-health intervention targeting physical activity and sleep in 160 Australian adults. Design: Nationwide randomised controlled trial. Main outcome measures: Moderate- and vigorous-intensity physical activity (MVPA), assessed using the Active Australia Questionnaire; sleep quality (Pittsburgh Sleep Quality Index); and sleep hygiene practices (Sleep Hygiene Index). Hypothesised psychosocial (e.g. self-efficacy) and behavioural (i.e. MVPA, sleep quality, sleep hygiene) mediators were tested on primary endpoint data at 3 months using bias-corrected bootstrapping (PROCESS 2 for SPSS). All outcomes and mediators were assessed using self-report. Results: At three months, the intervention had significantly improved sleep quality (d = 0.48, 95% CI: −2.26, −0.33, p = 0.009) and sleep hygiene (d = 0.40, 95% CI: −3.10, −0.19, p = 0.027). Differences in MVPA were not significant (d = 0.24, 95% CI: −35.53, 254.67, p = 0.139). Changes in MVPA were mediated by self-efficacy, perceived capability, environment, social support, intentions and planning, some of which showed inconsistent mediation (suppression). None of the hypothesised psychosocial factors mediated sleep outcomes. Changes in sleep hygiene mediated changes in sleep quality. Conclusions: Several psychosocial factors mediated changes in physical activity but not in sleep outcomes. Mediation effects of sleep hygiene on sleep quality highlight the importance of providing evidence-based strategies to improve sleep quality. [ABSTRACT FROM AUTHOR]

Background: This study aimed to develop and evaluate the construct validity and reliability of modernized social cognitive measures relating to physical activity behaviors in adolescents. Methods: An instrument was developed based on constructs from Bandura's Social Cognitive Theory and included the following scales: self-efficacy, situation (perceived physical environment), social support, behavioral strategies, and outcome expectations and expectancies. The questionnaire was administered in a sample of 171 adolescents (age = 13.6 ± 1.2 years, females = 61%). Confirmatory factor analysis was employed to examine model-it for each scale using multiple indices, including chi-square index, comparative-it index (CFI), goodness-of-it index (GFI), and the root mean square error of approximation (RMSEA). Reliability properties were also examined (ICC and Cronbach's alpha). Results: Each scale represented a statistically sound measure: it indices indicated each model to be an adequate-to-exact it to the data; internal consistency was acceptable to good (a = 0.63-0.79); rank order repeatability was strong (ICC = 0.82-0.91). Conclusions: Results support the validity and reliability of social cognitive scales relating to physical activity among adolescents. As such, the developed scales have utility for the identification of potential social cognitive correlates of youth physical activity, mediators of physical activity behavior changes and the testing of theoretical models based on Social Cognitive Theory. [ABSTRACT FROM AUTHOR]

Background: Poor sleep health is highly prevalent. Physical activity is known to improve sleep quality but not specifically targeted in sleep interventions.Purpose: To compare the efficacy of a combined physical activity and sleep intervention with a sleep-only intervention and a wait-list control, for improving sleep quality in middle-aged adults without a diagnosed sleep disorder.Methods: Three-arm randomized controlled trial (Physical Activity and Sleep Health (PAS), Sleep Health Only (SO), Wait-list Control (CON) groups; 3-month primary time-point, 6-month follow-up) of 275 (PAS = 110, SO = 110, CON = 55) inactive adults (40-65 years) reporting poor sleep quality. The main intervention component was a smartphone/tablet "app" to aid goal setting and self-monitoring physical activity and/or sleep hygiene behaviors (including stress management), and a pedometer for PAS group. Primary outcome was Pittsburgh Sleep Quality Index (PSQI) global score. Secondary outcomes included several self-reported physical activity measures and PSQI subcomponents. Group differences were examined stepwise, first between pooled intervention (PI = PAS + SO) and CON groups, then between PAS and SO groups.Results: Compared with CON, PI groups significantly improved PSQI global and subcomponents scores at 3 and 6 months. There were no differences in sleep quality between PAS and SO groups. The PAS group reported significantly less daily sitting time at 3 months and was significantly more likely to report ≥2 days/week resistance training and meeting physical activity guidelines at 6 months than the SO group.Conclusions: PIs had statistically significantly improved sleep quality among middle-aged adults with poor sleep quality without a diagnosed sleep disorder. The adjunctive physical activity intervention did not additionally improve sleep quality.Clinical Trial Information: Australian New Zealand Clinical Trial Registry: ACTRN12617000680369; Universal Trial number: U1111-1194-2680; Human Research Ethics Committee, Blinded by request of journal: H-2016-0267. [ABSTRACT FROM AUTHOR]

Supporting healthy ageing is a key priority worldwide. Physical activity, diet quality and sleep are all associated with health outcomes, but few studies have explored their independent associations with all-cause mortality in an older population in the same model. The study aim was to examine associations between step-count, self-reported diet quality, restless sleep, and all-cause mortality in adults aged 55–85 years. A prospective cohort study of adults in Newcastle, New South Wales, Australia. Data were from 1697 participants (49.3% women; baseline mean age 65.4 ± 7.1 years). Daily steps (measured by pedometer), diet quality (from a modified Australian Recommended Food Score), and frequency of restless sleep (by self-report) were assessed in relation to all-cause mortality using Cox proportional hazard regression with adjustment for sex, age, household income and smoking. Baseline data were collected between January 2005 and April 2008, and last follow-up was in March 2017 (median follow-up 9.6 years). Higher step count (HR: 0.93, 95%CI: 0.88–0.98 per 1000-step increment) and higher diet quality (HR: 0.86, 95%CI: 0.74–0.99 per 8-point increment in diet quality score) were associated with reduced mortality risk. Restless sleep for ≥3 nights/week was not associated with mortality risk (HR: 1.03, 95%CI: 0.78–1.39). Sensitivity analyses, adjusting for chronic disease and excluding deaths <1 year after baseline, did not change these estimates. Increased daily steps and consumption of a greater variety of nutrient-dense foods every week would result in substantial health benefits for older people. Future research should include a greater variety of sleep measures. [ABSTRACT FROM AUTHOR]

Purpose: To explore whether there was a difference in objectively measured physical activity and study participation between people who received their preferred study group allocation (matched) and those who did not receive their preferred study group (mismatched).Design: Secondary data from the NewCOACH randomized controlled trial.Setting: Insufficiently active patients in the primary care settings in Sydney and Newcastle, Australia.Participants: One hundred seventy-two adults aged 20 to 81 years.Intervention: Participants indicated their intervention preference at baseline for (1) five face-to-face visits with an exercise specialist, (2) one face-to-face visit and 4 telephone follow-ups with an exercise specialist, (3) written material, or (4) slight-to-no preference. Participants were then allocated to an intervention group and categorized as either "matched" or "mismatched" based on their indications. Participants who reported a slight-to-no preference was categorized as "matched."Measures: Daily step count as measured by pedometers and study participation.Analysis: Mean differences between groups in daily step count at 3 and 12 months (multiple linear regression models) and study participation at baseline, 3 months, and 12 months (χ2 tests).Results: Preference for an intervention group prior to randomization did not significantly (all P's > .05 using 95% confidence interval) impact step counts (differences of <600 steps/day between groups) or study participation.Conclusion: Future research should continue to address whether the strength of preferences influence study outcome and participation and whether the study preferences change over time. [ABSTRACT FROM AUTHOR]

Objectives: While outdoor gyms are being rapidly installed around the globe, little is known about their implications on physical activity, and fitness and other health-related outcomes. The primary objective of this systematic review was to examine the effects of outdoor gyms on physical activity, fitness and other health-related outcomes. Secondary objectives were to describe outdoor gym characteristics, user characteristics, and outdoor gym usage.Design: Systematic review.Methods: Peer-reviewed papers published in English were obtained through online database searches of the following databases; EBSCO, SPORTdiscus, Medline, PsycINFO, Web of Science, Scopus and Informit. Searches covered the periods from database inception to January 2019. Studies that reported on the efficacy of outdoor gym use for physical activity, health-related outcomes or descriptive aspects of outdoor gyms and their users were eligible for inclusion.Results: There was some support that outdoor gyms may improve physical activity, fitness and other health-related outcomes, however few experimental studies have been conducted. There was no consistency between outdoor gyms in terms types and number of installed equipment for each facility. Further, this review found discrepancies of whom were the most likely users of outdoor gyms and when they were mainly used.Conclusions: This review contributes to the limited evidence on the impact and characteristics of outdoor gyms on physical activity and fitness and health-related outcomes. [ABSTRACT FROM AUTHOR]

Background: Physical activity (PA) is a cornerstone in the management of type 2 diabetes (T2DM). This pilot investigation explores the effects of a standard diabetes education program compared with a supplemental PA intervention on diabetes-related health outcomes. Methods: Using a prospective 2-armed design, 96 adults with T2DM were randomly assigned to either standard care (diabetes education program; n = 49) or standard care supplemented with an 8-week, individualized-counseling and community-based PA component (n = 47). Measurements were taken at baseline, 3,6, and 12 months. Primary outcomes were changes in PA (self-report) and HbAlc. Between group changes were compared using analysis of covariance (ANCOVA) and changes over time using repeated-measures ANOVA. Results: In comparison with standard care, the supplemental group demonstrated an increase in PA (Ps < 0.01) and cardiorespiratory fitness (Ps <0.05) from baseline to all follow-up time-points. HbAlc levels declined (P < .05) from baseline to all time points in the standard care group. Reduction in cholesterol-ratio (P < .01), increase in HDL (P < .05), and reductions in blood pressure, resting heart rate and BMI (approaching statistical significance Ps < 0.10) were also reported for both groups. Conclusions: PA counseling in addition to standard care is effective for promoting PA behavior change and positive health-related outcomes among individuals with T2DM. [ABSTRACT FROM AUTHOR]

Background: The purposes of this study were to determine if a) gender moderated the relationship between self-efficacy and physical activity (PA) among youth in Alberta. Canada, and, alternatively b) if self-efficacy mediated the relationship between gender and PA. Methods: A novel web-based tool was used to survey a regionally diverse sample of 4779 students (boys = 2222, girls = 2557) from I 17 schools in grades 7 to 10 (mean age = 13.64 yrs.). Among other variables, students were asked about their PA and sell-efficacy for participating in PA. Results: Based upon a series of multilevel analyses, self-efficacy was found to be a significantly stronger correlate of PA for girls. But, boys had significantly higher self-efficacy compared with girls, which resulted in significantly more PA. Conclusions: Findings suggest self-efficacy is an important correlate of PA among adolescent girls but that boys are more physically active because they have more self-efficacy for PA. [ABSTRACT FROM AUTHOR]

Empirical evidence shows that physical behavior positively impacts human health. Recently, researchers have started to differentiate between physical activity and sedentary behavior showing independent effects on somatic health. However, whether this differentiation is also relevant for mood dimensions is largely unknown. For investigating the dynamic relationships between sedentary behavior and mood dimensions in daily life, ambulatory assessment (AA) has become the state‐of‐the‐art methodology. To investigate whether sedentary behaviors influence mood dimensions, we conducted an AA study in the everyday life of 92 university employees over 5 days. We continuously measured sedentary behavior via accelerometers and assessed mood repeatedly 10 times each day on smartphone diaries. To optimize our sampling strategy, we used a sophisticated sedentary‐triggered algorithm. We employed multilevel modeling to analyze the within‐subject effects of sedentary behavior on mood. Sedentary time (15‐minute intervals prior to each e‐diary assessment) and sedentary bouts (30‐minute intervals of uninterrupted sedentary behavior) negatively influenced valence and energetic arousal (all Ps < 0.015). In particular, the more participants were sedentary in their everyday life, the less they felt well and energized. Exploratory analyses of the temporal course of these effects supported our findings. Sedentary behavior can be seen as a general risk factor because it impacts both somatic and mental health. Most importantly, physical activity and sedentary behavior showed independent effects on mood dimensions. Accordingly, future studies should consider the two sides of the physical behavior coin: How should physical activity be promoted? and How can sedentary behavior be reduced? [ABSTRACT FROM AUTHOR]

Healthy Dads Healthy Kids (HDHK) was the first program internationally to specifically target overweight and obese fathers to improve their children's health. In previous randomized controlled trials, HDHK generated meaningful short-term improvements in the adiposity, physical activity, and eating behaviors of both fathers and children. The aim of this dissemination trial was to evaluate the 12-month impact of HDHK when delivered by trained facilitators across four low socioeconomic and regional communities in the Hunter Region, Australia. The study was a nonrandomized, prospective trial with minimal eligibility criteria (i.e. father body mass index [BMI] ≥ 25 kg/m2 and children aged 4–12 years). HDHK included eight weekly practical and theoretical sessions. Assessments were baseline, 3 months (post-intervention), 6-months, and 12-months. The primary outcome was fathers' weight. Secondary outcomes included child BMI z -score and validated lifestyle behavior measures (e.g. physical activity, diet). Overall, 189 fathers (mean age: 40.2 years, BMI: 32.6 kg/m2) and 306 children (mean age: 8.1 years) participated in one of 10 HDHK programs in four areas. Intention-to-treat linear mixed models revealed a significant mean reduction in fathers' weight at post-intervention (−3.6 kg, 95% confidence interval: −4.3, −2.9), which was maintained at 12 months (71% retention). Corresponding improvements were also detected in children's BMI z-score and a range of lifestyle behaviors for both fathers and children. Attendance and satisfaction levels were high. Positive intervention effects observed in previous randomized controlled trials were largely replicated and sustained for 12 months when HDHK was delivered by trained local facilitators in underserved communities. Further investigation into the key systems, processes, and contextual factors required to deliver HDHK at scale appears warranted. [ABSTRACT FROM AUTHOR]

High Intensity Interval Training (HIIT) may be effective for accumulating VPA. However, the contribution of HIIT to overall physical activity is unknown. Our primary aim was to explore the impact of school-based HIIT on physical activity. The secondary aim was to explore within-individual changes in physical activity after participating in HIIT. Participants [n = 65; 15.8(0.6)years] were randomized to a HIIT or control group. Intervention groups participated in three HIIT sessions/week. GENEActiv accelerometers assessed objective physical activity at baseline and week-one, to detect changes in MPA and VPA. Intervention effects were examined using linear mixed models and evidence of a change in physical activity (i.e., compensation) were examined using multilevel linear regression models. The group-by-time interaction effects for MPA and VPA were small and moderate, respectively. Adjusted difference between groups for VPA was 1.70 min/day, 95%CI –1.96 to 5.36;p= 0.354;d= 0.55). Embedding HIIT within the school-day had a moderate effect on VPA compared to controls. Compensation analyses (i.e., individual level) suggested that adolescents were more active on days when they participated in HIIT. Further studies are needed to test the effects of HIIT on adolescents’ physical activity over extended time periods. [ABSTRACT FROM PUBLISHER]

Introduction: ParticipACTION is a Canadian physical activity communications and social marketing organization relaunched in 2007. This study assesses the capacity of Canadian organizations to adopt, implement, and promote physical activity initiatives. The four objectives were to compare findings from baseline (2008) and follow-up (2013) with respect to: (1) awareness of ParticipACTION; (2) organizational capacity to adopt, implement and promote physical activity initiatives; (3) potential differences in capacity based on organizational size, sector, and mandate; and (4) assess perceptions of ParticipACTION five years after relaunch. Methods: In this cross-sectional study, representatives from local, provincial/territorial, and national organizations completed an online survey assessing capacity to adopt, implement, and promote physical activity. Descriptive statistics and one-way analyses of variance were conducted to examine the objectives. Results: Response rate for opening an email survey invitation and consenting to participate was 40.6% (685/1688) and 540 surveys were completed. Awareness of ParticipACTION increased from 54.6% at baseline to 93.9% at follow-up (Objective 1). Findings at both baseline and follow-up reflected good organizational capacity to adopt, implement and promote physical activity (Objective 2) although some varied by organizational sector and mandate (Objective 3). Most respondents reported that ParticipACTION provided positive leadership (65.3%), but there was less agreement regarding ParticipACTION's facilitation of infrastructure (44.0%) or organizational will/motivation (47.1%)(Objective 4). Conclusion: Canadian organizations continue to report having good capacity to adopt, implement, and promote physical activity. There was no discernible change in capacity indicators five years after ParticipACTION's relaunch although its broader contribution to the physical activity sector was endorsed. [ABSTRACT FROM AUTHOR]

Objective: To explore young people’s perceptions of pedometers and investigate behaviours exhibited while being monitored. Design: Qualitative design using six focus groups with participants (mean age 14.7 years). Setting: Study participants (n = 24) were randomly selected from a previous study of 123 young people aged 14–15 years from three secondary schools in New South Wales (NSW), Australia. Methods: Participants wore pedometers (Yamax CW700) and accelerometers (ActiGraph GT3X+) simultaneously for 7 days. Accelerometer output was used to categorise participants into one of six focus groups (three boys groups and three girls groups): (1) low active (<30 minutes moderate to vigorous physical activity [MVPA]/day), (2) medium active (30–60 minutes MVPA/day), and (3) high active (≥60 minutes MVPA/day). Participants were questioned on their perceptions of the monitoring process and the behaviours that they exhibited while wearing pedometers. A hybrid approach to data analysis identified key concepts, which were thematically analysed. Results: The two main themes identified were (1) participants’ perceptions of the monitoring process and (2) behaviour exhibited while being monitored. Overall, participants’ attitudes towards objective monitoring were positive. A large proportion reported changing their levels of physical activity during the monitoring process, and 87.5% of focus group participants reported shaking their pedometers to increase their step counts. The medium and high active groups reported changing their activity patterns more than the low active groups. Conclusion: Our findings are consistent with previous quantitative studies that suggest reactivity and tampering are commonplace among young people. Pedometers may have more utility as an intervention strategy for increasing activity rather than as a method for assessing habitual activity levels. [ABSTRACT FROM AUTHOR]

The risk and prevalence of Type 2 Diabetes (T2D) has dramatically increased over the past decade. The aim of this study was to develop, implement and evaluate a physical activity intervention to improve aerobic and muscular fitness among adults at risk of, or diagnosed with T2D. A 20-week, assessor blinded, parallel-group randomized controlled trial (RCT) was conducted at the University of Newcastle (June-December 2015). Adults were randomized to the intervention (n=42) or wait-list control group (n=42). The theory-based intervention included: Phase 1 (weeks 1-10) integrated group sessions (outdoor physical activity and cognitive mentoring), and the eCoFit smartphone application (app). Phase 2 (weeks 11-20) only included the eCoFit app. Participants were assessed at baseline, 10weeks and 20weeks. Linear mixed models (intention-to-treat) were used to determine group-by-time interactions at 10weeks (primary time-point) and 20weeks for the primary outcomes. Several secondary outcomes were also assessed. After 10weeks, significant group-by-time effects were observed for aerobic fitness (4.5mL/kg/min; 95% CI [1.3, 7.7], d=0.68) and muscular fitness (lower body) (3.4 reps, 95% CI [2.7, 4.2], d=1.45). Intervention effects for secondary outcomes included significant increased physical activity (1330steps/week), improved upper body muscular fitness (5 reps; arm-curl test), improved functionality (-1.8s; timed-up and go test) reduced waist circumference (2.8cm) and systolic blood pressure (-10.4mmHg). After 20weeks, significant effects were observed for lower body muscular fitness and health outcomes. eCoFit is an innovative lifestyle intervention which integrates smartphone technology, social support, and the outdoor environment to improve aerobic and muscular fitness. [ABSTRACT FROM AUTHOR]

Objective: To determine the comparability and feasibility of wrist- and hip-worn accelerometers among free-living adolescents.Design: 89 adolescents (age=13-14years old) from eight secondary schools in New South Wales (NSW), Australia wore wrist-worn GENEActiv and hip-worn ActiGraph (GT3X+) accelerometers simultaneously for seven days and completed an accelerometry behavior questionnaire.Methods: Bivariate correlations between the wrist- and hip-worn out-put were used to determine concurrent validity. Paired samples t-test were used to compare minutes per day in moderate-to-vigorous physical activity (MVPA). Group means and paired sample t-tests were used to analyze participants' perceptions of the wrist- and hip-worn monitoring protocols to assist with determining the feasibility.Results: Wrist-worn accelerometry compared favorably with the hip-worn in average activity (r=0.88, p<0.001) and MVPA (r=0.84 p<0.001, mean difference=3.54min/day, SD=12.37). The wrist-worn accelerometer had 50% fewer non-valid days (75 days, 12%) than the hip-worn accelerometer (n=152, 24.4%). Participants reported they liked to wear the device on the wrist (p<0.01), and that it was less uncomfortable (p=0.02) and less embarrassing to wear on the wrist (p<0.01). Furthermore, that they would be more willing to wear the device again on the wrist over the hip (p<0.01).Conclusions: Our findings reveal there is a strong linear relationship between wrist- and hip-worn accelerometer out-put among adolescents in free-living conditions. Adolescent compliance was significantly higher with wrist placement, with participants reporting that it was more comfortable and less embarrassing to wear on the wrist. [ABSTRACT FROM AUTHOR]

Background: Men are underrepresented in weight loss and type 2 diabetes mellitus (T2DM) prevention studies. Purpose: To determine the effectiveness of recruitment, and acceptability of the T2DM Prevention Using LifeStyle Education (PULSE) Program—a gender-targeted, self-administered intervention for men. Methods: Men (18–65 years, high risk for T2DM) were randomized to intervention (n = 53) or wait-list control groups (n = 48). The 6-month PULSE Program intervention focused on weight loss, diet, and exercise for T2DM prevention. A process evaluation questionnaire was administered at 6 months to examine recruitment and selection processes, and acceptability of the intervention’s delivery and content. Associations between self-monitoring and selected outcomes were assessed using Spearman’s rank correlation. Results: A pragmatic recruitment and online screening process was effective in identifying men at high risk of T2DM (prediabetes prevalence 70%). Men reported the trial was appealing because it targeted weight loss, T2DM prevention, and getting fit, and because it was perceived as “doable” and tailored for men. The intervention was considered acceptable, with men reporting high overall satisfaction (83%) and engagement with the various components. Adherence to self-monitoring was poor, with only 13% meeting requisite criteria. However, significant associations were observed between weekly self-monitoring of weight and change in weight (rs = −.47, p = .004) and waist circumference (rs = −.38, p = .026). Men reported they would have preferred more intervention contact, for example, by phone or email. Conclusions: Gender-targeted, self-administered lifestyle interventions are feasible, appealing, and satisfying for men. Future studies should explore the effects of additional non-face-to-face contact on motivation, accountability, self-monitoring adherence, and program efficacy. [ABSTRACT FROM AUTHOR]

Objective:More evidence from prospective studies is needed to determine ‘if’ and ‘how’ social cognitive constructs mediate behaviour change. In a longitudinal study, we aimed to examine potential social cognitive mediators of objectively measured physical activity (PA) behaviour among people with type 2 diabetes (T2D) who participated in a six-month PA intervention.Methods:All participants from the proven effective Healthy Eating and Active Living for Diabetes in Primary Care Networks trial were included for this secondary analysis. Change in pedometer-derived daily step counts (baseline to six months) was the outcome of interest. Primary constructs of interest were from Social Cognitive Theory, however constructs from and Theory of Planned Behaviour were also tested in a mediating variable framework using a product-of-coefficients test.Results:The sample (N = 198) had a mean age of 59.5 (SD 8.3) years, haemoglobin A1c 6.8% (SD 1.1), 50% women, BMI 33.6 kg/m2(SD 6.5), systolic pressure 125.6 mmHg (SD 16.2) and average daily steps were 5879 (SD 3130). Daily pedometer-determined steps increased for the intervention group compared to usual care control at six-months (1481 [SD 2631] vs. 336 [SD 2712]; adjustedp = .002). There was a significant action theory test effect for ‘planning’ (A = .21, SE = .10,p = .037), and significant conceptual theory test results for ‘subjective norms’ (B = 657, SE = 312,p = .037) and ‘cons’ (B = −664, SE = 270,p = .015). None of the constructs satisfied the criteria for mediation.Conclusions:We were unable to account for the effect of a pedometer-based PA intervention for people with T2D through our examination of mediators. Our findings are inconsistent with some literature concerning PA interventions in diabetes; this may be due to variability in measures used or in study populations. [ABSTRACT FROM PUBLISHER]

Background: Web-based physical activity interventions that apply computer tailoring have shown to improve engagement and behavioral outcomes but provide limited accountability and social support for participants. It is unknown how video calls with a behavioral expert in a Web-based intervention will be received and whether they improve the effectiveness of computer-tailored advice.Objective: The purpose of this study was to determine the feasibility and effectiveness of brief video-based coaching in addition to fully automated computer-tailored advice in a Web-based physical activity intervention for inactive adults.Methods: Participants were assigned to one of the three groups: (1) tailoring + video-coaching where participants received an 8-week computer-tailored Web-based physical activity intervention ("My Activity Coach") including 4 10-minute coaching sessions with a behavioral expert using a Web-based video-calling program (eg, Skype; n=52); (2) tailoring-only where participants received the same intervention without the coaching sessions (n=54); and (3) a waitlist control group (n=45). Demographics were measured at baseline, intervention satisfaction at week 9, and physical activity at baseline, week 9, and 6 months by Web-based self-report surveys. Feasibility was analyzed by comparing intervention groups on retention, adherence, engagement, and satisfaction using t tests and chi-square tests. Effectiveness was assessed using linear mixed models to compare physical activity changes between groups.Results: A total of 23 tailoring + video-coaching participants, 30 tailoring-only participants, and 30 control participants completed the postintervention survey (83/151, 55.0% retention). A low percentage of tailoring + video-coaching completers participated in the coaching calls (11/23, 48%). However, the majority of those who participated in the video calls were satisfied with them (5/8, 71%) and had improved intervention adherence (9/11, 82% completed 3 or 4 modules vs 18/42, 43%, P=.01) and engagement (110 minutes spent on the website vs 78 minutes, P=.02) compared with other participants. There were no overall retention, adherence, engagement, and satisfaction differences between tailoring + video-coaching and tailoring-only participants. At 9 weeks, physical activity increased from baseline to postintervention in all groups (tailoring + video-coaching: +150 minutes/week; tailoring only: +123 minutes/week; waitlist control: +34 minutes/week). The increase was significantly higher in the tailoring + video-coaching group compared with the control group (P=.01). No significant difference was found between intervention groups and no significant between-group differences were found for physical activity change at 6 months.Conclusions: Only small improvements were observed when video-coaching was added to computer-tailored advice in a Web-based physical activity intervention. However, combined Web-based video-coaching and computer-tailored advice was effective in comparison with a control group. More research is needed to determine whether Web-based coaching is more effective than stand-alone computer-tailored advice.Trial Registration: Australian New Zealand Clinical Trials Registry (ACTRN): 12614000339651; http://www.anzctr.org.au/TrialSearch.aspx?searchTxt=ACTRN12614000339651+&isBasic=True (Archived by WebCite at http://www.webcitation.org/6jTnOv0Ld). [ABSTRACT FROM AUTHOR]