Validating two self-report physical activity measures in middle-aged adults completing a group exercise or home-based physical activity program

Validity of the Active Australia Survey in an Australian cardiac rehabilitation population

OBJECTIVES

To examine the long-term validity of the Active Australia Survey in a cardiac rehabilitation population using accelerometry as the reference measure.

DESIGN

Cohort validation study.

METHODS

Cardiac rehabilitation participants with coronary heart disease were recruited to a prospective cohort study. Over 7-days, 61 participants wore an ActiGraph ActiSleep accelerometer (1-second epoch, 10-minute bout) and completed the self-administered Active Australia Survey at baseline, 6-weeks, 6 and 12-months. Total daily moderate-to-vigorous physical activity from both methods was compared using Bland-Altman plots and Spearman rank-order correlations.

RESULTS

Participants tended to over-report moderate-to-vigorous physical activity, with more active participants more likely to over-report moderate-to-vigorous physical activity. There was a good level of agreement between the accelerometer 1-second epochs and Active Australia Survey at all time points (mean bias (ratio) 1.04, 1.16, 1.14, and 1.06, respectively), with weak-moderate correlations (ρ = 0.3-0.48). Conversely, there was a poor level of agreement between the accelerometer 10-minute bouts and Active Australia Survey at all time points (mean bias (ratio) 6.78, 9.09, 6.35, and 5.68, respectively), with weak-moderate correlations (ρ = 0.3-0.52). Agreement between the two measures did not improve over time for both 1-second and 10-minute bout accelerometry data.

CONCLUSIONS

The Active Australia Survey may be an acceptable self-report measure of moderate-to-vigorous physical activity in cardiac rehabilitation attendees when capturing any time spent in moderate-to-vigorous physical activity. The Active Australia Survey may be useful to routinely monitor physical activity levels over-time in Australian cardiac rehabilitation programs at both individual and group levels.

TRIAL REGISTRATION

Trial registration: Australian New Zealand Clinical Trials Registry (ANZCTR): ACTRN12615000995572, http://www.ANZCTR.org.au/ACTRN12615000995572.aspx.

Carer-supported home-based exercises designed to target physical activity levels and functional mobility after stroke: a scoping review

PURPOSE

To explore the literature on carer-supported home-based exercise programs for people after stroke, as a form of physical activity. The review focus was to examine the training carers receive, the content of programs, and investigate the physical activity levels and functional mobility of people after stroke.

MATERIALS AND METHODS

A scoping review was undertaken, guided by Joanna Briggs Institute methodology. The concept of home-based carer-supported exercise, in people after stroke, was searched across five databases. Outcomes of interest were physical activity levels and functional mobility.

RESULTS

We screened 2285 references and included 10 studies: one systematic review, five randomised controlled trials, one trial with non-equivalent control, and four uncontrolled studies. Carer training ranged from one to twelve sessions. Exercise interventions commonly including walking, other whole body functional exercises and balance activities. In eight studies interventions were in addition to standard care. Five studies reported significant between-group differences for functional mobility, favouring the intervention. One study reported physical activity levels.

CONCLUSION

There was large variation in the volume and content of training provided to carers. Physical activity levels were infrequently objectively reported. Future studies should include greater details on their protocols to allow for replication and implementation into clinical practice.

An open-source system for efficient clinical trial support: The COMET study experience

Exercise clinical trials are complex, logistically burdensome, and require a well-coordinated multi-disciplinary approach. Challenges include managing, curating, and reporting on many disparate information sources, while remaining responsive to a variety of stakeholders. The Combined Exercise Trial (COMET, NCT04848038) is a one-year comparison of three exercise modalities delivered in the community. Target enrollment is 280 individuals over 4 years. To support rigorous execution of COMET, the study team has developed a suite of scripts and dashboards to assist study stakeholders in each of their various functions. The result is a highly automated study system that preserves rigor, increases communication, and reduces staff burden. This manuscript describes system considerations and the COMET approach to data management and use, with a goal of encouraging further development and adaptation by other study teams in various fields.

Long-term efficacy of a computer-tailored physical activity intervention for prostate and colorectal cancer patients and survivors: A randomized controlled trial

BACKGROUND

Physical activity (PA) can improve the physical and psychological health of prostate and colorectal cancer survivors, but PA behavior change maintenance is necessary for long-term health benefits. OncoActive is a print- and web-based intervention in which prostate and colorectal cancer patients and survivors receive automatically generated, personalized feedback aimed at integrating PA into daily life to increase and maintain PA. We evaluated the long-term outcomes of OncoActive by examining the 12-month follow-up differences between OncoActive and a control group, and we explored whether PA was maintained during a 6-month non-intervention follow-up period.

METHODS

Prostate or colorectal cancer patients were randomly assigned to an OncoActive (n = 249) or a usual care waitlist control group (n = 229). OncoActive participants received PA advice and a pedometer. PA outcomes (i.e., ActiGraph and self-report moderate-to-vigorous intensity PA (MVPA) min/week and days with ≥30 min PA) and health-related outcomes (i.e., fatigue, depression, physical functioning) were assessed at baseline, 6 months, and 12 months. Differences between groups and changes over time were assessed with multilevel linear regressions for the primary outcome (ActiGraph MVPA min/week) and all additional outcomes.

RESULTS

At 12 months, OncoActive participants did not perform better than control group participants at ActiGraph MVPA min/week, self-report MVPA min/week, or ActiGraph days with PA. Only self-report days with PA were significantly higher in OncoActive compared to the control group. For health-related outcomes only long-term fatigue was significantly lower in OncoActive. When exploratively examining PA within OncoActive, the previously found PA effects at the end of the intervention (6 months follow-up) were maintained at 12 months. Furthermore, all PA outcomes improved significantly from baseline to 12 months. The control group showed small but non-significant improvements from 6 months to 12 months (and from baseline to 12 months), resulting in a decline of differences between groups.

CONCLUSION

The majority of previously reported significant between-group differences at 6 months follow-up were no longer present at long-term follow-up, possibly because of natural improvement in the control group. At long-term follow-up, fatigue was significantly lower in OncoActive compared to control group participants. Computer-tailored PA advice may give participants an early start toward recovery and potentially contributes to improving long-term health.

Identifying modifiable factors that could arrest progression to type 2 diabetes: A cluster analysis of Australian adults

Lifestyle-based disease prevention and self-management strategies play an important role in the mitigation of health, social, and economic burdens associated with type 2 diabetes mellitus (T2DM) and other chronic diseases. However, there are significant implementation and translational challenges associated with the design and delivery of effective interventions. In this study, data-driven techniques for the identification of optimal target audiences and intervention targets for T2DM prevention interventions were applied. Australian adults (N = 3159) with differing T2DM status (no diabetes diagnosis, pre-diabetes, or T2DM) completed self-report assessments of diet quality, physical activity, psychological distress, future orientation, health literacy, and socio-demographic characteristics. K-medoids cluster analysis was conducted to identify homogenous groups within the research sample and proportional odds ordinal logistic regressions conducted to identify signficant predictors of T2DM status within each cluster. Results identified a two-factor optimal solution that stratified participants based on sex (male/female). Within each cluster, psychosocial variables explained approximately 25% of the variance in T2DM status, with future orientation identified as a significant modifiable predictor of T2DM. For the male cluster, health literacy was also significant (p ≤0.01). Findings indicate that men and women should be targeted separately in T2DM prevention or management programs and that future interventional research targeting future orientation is warranted.

The accuracy of self-reported physical activity questionnaires varies with sex and body mass index

BACKGROUND

Factors contributing to the accurate measurement of self-reported physical activity are not well understood in middle-aged adults. We investigated the associations between two self-reported surveys and objectively measured physical activity in middle-aged adults, and the influence of individual and sociodemographic factors on these associations, at different intensities utilizing an observational study design.

METHODS

Participants (n = 156) wore a SenseWear Armband™ (SWA) for a continuous seven-day period over the triceps of the left arm, to measure energy expenditure in metabolic equivalents. Participants also completed the Physical Activity Recall questionnaire (PAR) and Active Australia Survey (AAS). Associations were analyzed separately in general linear models for each intensity. The influence of individual and sociodemographic factors was assessed through moderator analyses.

RESULTS

The PAR and SWA were significantly positively associated at moderate (β = 0.68, 95% CI 0.16-1.20), vigorous (β = 0.36, 95% CI 0.20-0.53), moderate-to-vigorous physical activity (MVPA) (β = 0.52, 95% CI 0.20-0.83), and total METmins (β = 0.63, 95% CI 0.35-0.90), the AAS and SWA were associated at all intensities (moderate (β = 0.41, 95% CI 0.15-0.67), vigorous (β = 0.32, 95% CI 0.19-0.46), MVPA (β = 0.42, 95% CI 0.18-0.65) and total METmins (β = 0.62, 95% CI 0.29-0.96). A significant interaction between the PAR and sex for vigorous-intensity unveiled a weaker association in women. Both surveys tended to under-report physical activity. The largest margins of error were present at light and moderate intensities. For the PAR, participants reported over 20 hours, or 69% less light physical activity than recorded by the SWA per week. For the AAS, participants reported over 7 hours, or 38% less moderate physical activity. Compared to lighter intensities, time spent at a vigorous intensity was overreported by participants with the PAR and AAS by 91 and 43 minutes per week, respectively. The addition of Body Mass Index (BMI) resulted in non-significant interactions between the PAR and SWA for moderate-intensity, and the AAS and SWA for vigorous-intensity; a significant interaction between AAS and BMI indicated that the strength of the association differed by BMI for vigorous-intensity.

CONCLUSIONS

The PAR and AAS are not equivalent to the SWA, and sex and BMI may alter the associations between the measures.

Feasibility Assessment of the Let's Walk Programme (CAMINEM): Exercise Training and Health Promotion in Primary Health-Care Settings

Exercise is related to many individual health outcomes but impact evaluations of exercise programmes are seldom conducted. The purpose of the study is to evaluate the feasibility of an exercise prescription intervention in primary health-care settings (CAMINEM Programme) located in two socially disadvantaged neighbourhoods. The CAMINEM was a pragmatic-driven intervention with opportunistic recruitment. It followed the 5As framework for health promotion and also the exercise training principles. Feasibility was evaluated using the RE-AIM framework (Reach, Effectiveness, Adoption, Implementation, and Maintenance). Patients with non-communicable chronic diseases participated in a 12-month home-based moderate-intensity exercise program, counselled by exercise physiologists. Participants were grouped according to their physical activity behaviour at baseline and 6-month adherence. CAMINEM reached 1.49% (n = 229) of the eligible population (N = 15374) and included a final sample of 178. Health outcomes for adhered participants followed positive patterns. Non-adhered participants visited their practitioner more compared to adhered participants. Thirty-three practitioners (40%) referred patients. Nurses referred four times more than physicians (81% and 19% respectively). The delivery of exercise prescriptions proved to be easy to complete and record by participants as well as easy to monitor and adjust by the exercise physiologists. One out of four participants adhered during the 12-month intervention. This intervention has been feasible in primary care in Catalonia, Spain, to safely prescribe home-based exercise for several conditions.

Current Evidence of Measurement Properties of Physical Activity Questionnaires for Older Adults: An Updated Systematic Review

BACKGROUND

Questionnaires provide valuable information about physical activity (PA) behaviors in older adults. Until now, no firm recommendations for the most qualified questionnaires for older adults have been provided.

OBJECTIVES

This review is an update of a previous systematic review, published in 2010, and aims to summarize, appraise and compare the measurement properties of all available self-administered questionnaires assessing PA in older adults.

METHODS

We included the articles evaluated in the previous review and conducted a new search in PubMed, Embase, and SPORTDiscus from September 2008 to December 2019, using the following inclusion criteria (1) the purpose of the study was to evaluate at least one measurement property (reliability, measurement error, hypothesis testing for construct validity, responsiveness) of a self-administered questionnaire; (2) the questionnaire intended to measure PA; (3) the questionnaire covered at least one domain of PA; (4) the study was performed in the general, healthy population of older adults; (5) the mean age of the study population was > 55 years; and (6) the article was published in English. Based on the Quality Assessment of Physical Activity Questionnaires (QAPAQ) checklist, we evaluated the quality and results of the studies. The content validity of all included questionnaires was also evaluated using the reviewers' rating. The quality of the body of evidence was evaluated for the overall construct of each questionnaire (e.g., total PA), moderate-to-vigorous physical activity (MVPA) and walking using a modified Grading of Recommendation, Assessment, Development, and Evaluation (GRADE) approach.

RESULTS

In total, 56 articles on 40 different questionnaires (14 from the previous review and 26 from the update) were included. Reliability was assessed for 22, measurement error for four and hypotheses testing for construct validity for 38 different questionnaires. Evidence for responsiveness was available for one questionnaire. For many questionnaires, only one measurement property was assessed in only a single study. Sufficient content validity was considered for 22 questionnaires. All questionnaires displayed large measurement errors. Only versions of two questionnaires showed both sufficient reliability and hypotheses testing for construct validity, namely the Physical Activity Scale for the Elderly (PASE; English version, Turkish version) for the assessment of total PA, and the Physical Activity and Sedentary Behavior Questionnaire (PASB-Q; English version) for the assessment of MVPA. The quality of evidence for these results ranged from very low to high.

CONCLUSIONS

Until more high-quality evidence is available, we recommend the PASE for measuring total PA and the PASB-Q for measuring MVPA in older adults. However, they are not equally qualified among different languages. Future studies on the most promising questionnaires should cover all relevant measurement properties. We recommend using and improving existing PA questionnaires-instead of developing new ones-and considering the strengths and weaknesses of each PA measurement instrument for a particular purpose.

Monitoring the recovery time of children after tonsillectomy using commercial activity trackers

An observational prospective feasibility study in which children received a tracker 2 weeks before a tonsillectomy and were required to wear it until four weeks postoperatively. The parents used a diary to log the estimated steps of their child. As primary endpoint, the compliance of complete datasets was compared between the tracker and the diary. As secondary endpoints, the agreement of steps between tracker and diary, and the recovery time after tonsillectomy were analyzed.Twenty-four patients (50% male) with a median age of 6 years were recruited. The tracker had a complete dataset compliance of 91.7% in the pre-operative and 58.3% in postoperative period, whereas the diary's compliance was 62.5% in the pre-operative and 12.5% in the postoperative period. The difference of 29.2% and 45.8% in the pre-operative and postoperative periods between the tracker and the diary was significant (p < 0.005). The tracker and diary had a mean agreement difference of 1063 steps per day. Mean recovery time was 21 days after tonsillectomy.Conclusion: The results of this pilot study support the use of a tracker in terms of compliance and practicability. Consumer-level activity trackers are a viable alternative to conventional manual logging for clinical use in pediatric research.Trial registration: ClinicalTrials.gov Identifier: NCT03174496 What is known: • Consumer-level activity trackers are already used in clinical research to monitor steps and physical activity. • The use of consumer-level activity trackers in clinical studies has mostly been validated in the adult population. What is new: • This study proves the feasibility of using physical activity trackers in a pediatric population before and after a surgical intervention. • Recovery of a patient could be assessed with an activity tracker.

Validity and bias on the online active Australia survey: activity level and participant factors associated with self-report bias

Background

This study examined the criterion validity of the online Active Australia Survey, using accelerometry as the criterion, and whether self-report bias was related to level of activity, age, sex, education, body mass index and health-related quality of life.

Methods

The online Active Australia Survey was validated against the GENEActiv accelerometer as a direct measure of activity. Participants (n = 344) wore an accelerometer for 7 days, completed the Active Australia Survey, and reported their health and demographic characteristics. A Spearman’s rank coefficient examined the association between minutes of moderate-to-vigorous physical activity recorded on the Active Australia Survey and GENEActiv accelerometer. A Bland-Altman plot illustrated self-report bias (the difference between methods). Linear mixed effects modelling was used to examine whether participant factors predicted self-report bias.

Results

The association between moderate-to-vigorous physical activity reported on the online Active Australia Survey and accelerometer was significant (r_s = .27, p < .001). Participants reported 4 fewer minutes per day on the Active Australia Survey than was recorded by accelerometry (95% limits of agreement −104 – 96 min) but the difference was not significant (t(343) = −1.40, p = .16). Self-report bias was negatively associated with minutes of accelerometer-recorded moderate-to-vigorous physical activity and positively associated with mental health-related quality of life.

Conclusions

The online Active Australia Survey showed limited criterion validity against accelerometry. Self-report bias was related to activity level and mental health-related quality of life. Caution is recommended when interpreting studies using the online Active Australia Survey.

Psychometric properties of the PERMA Profiler for measuring wellbeing in Australian adults

INTRODUCTION

This study evaluated the psychometric properties of the PERMA Profiler, a 15-item self-report measurement tool designed to measure Seligman's five pillars of wellbeing: Positive emotions, Relationships, Engagement, Meaning, and Accomplishment.

METHODS

Australian adults (N = 439) completed the PERMA Profiler and measures of physical and mental health (SF-12), depression, anxiety, stress (DASS 21), subjective physical activity (Active Australia Survey), and objective activity and sleep (GENEActiv accelerometer). Internal consistency was examined using Cronbach's alpha and associations between theoretically related constructs examined using Pearson's correlation. Model fit in comparison with theorised models was examined via Confirmatory Factor Analysis.

RESULTS

Results indicated acceptable internal consistency for overall PERMA Profiler scores and all subscales (α range = 0.80-0.93) except Engagement (α = 0.66). Moderate associations were found between PERMA Profiler wellbeing scores with subjective constructs (e.g. depression, anxiety, stress; r = -0.374 - -0.645, p = <0.001) but not objective physical activity or sleep. Data failed to meet model fit criteria for neither the theorised five-factor nor an alternative single-factor structure.

CONCLUSIONS

Findings were mixed, providing strong support for the scale's internal consistency and moderate support for congervent and divergent validity, albeit not in comparison to objectively captured activity outcomes. We could not replicate the theorised data structure nor an alternative, single factor structure. Results indicate insufficient psychometric properties of the PERMA Profiler.

The effect of Active Plus, a computer-tailored physical activity intervention, on cognitive functioning of elderly people with chronic illness(es) - study protocol for a randomized controlled trial

BACKGROUND

Physical activity not only is beneficial to a person's health, but can also have a positive influence on cognitive functioning. However, elderly people with chronic illness(es) often do not meet the physical activity guidelines. Physical activity programs for the elderly exist, but these are often expensive and not easily accessible to the elderly with chronic illness(es). In addition, the beneficial effects of these physical activity programs on cognitive functioning have never been specifically tested in this target group. Hence, this randomized controlled trial aims to test whether Active Plus, a proven effective physical activity intervention, is able to improve the cognitive functioning of elderly people with chronic illness(es) or to slow down cognitive decline. In addition, it studies what kind of activity, intensity, duration and frequency of physical activity most strongly influence cognitive functioning.

METHODS

A randomized controlled trial is performed, comparing the Active Plus intervention group to a waiting list control group. In total 540 older adults (≥65 years) with at least one chronic illness that limits mobility are recruited from 7 municipalities. Comparable neighborhoods within a municipality are randomly allocated to the intervention or control group. Baseline and follow-up measurements after 6 and 12 months assess cognitive functioning and physical activity behavior, measured both objectively with an accelerometer and subjectively with a self-report questionnaire. Multilevel analyses are conducted to assess effects on cognitive functioning, including analyses on moderation effects for physical activity type, frequency, duration and intensity.

DISCUSSION

To our knowledge this is the first study to investigate effectiveness of a physical activity program on cognitive functioning in elderly people suffering from a broad range of chronic illnesses. If proven effective Active Plus would be a very cost effective intervention not only to increase physical activity, but also to improve cognitive functioning or slow down cognitive decline. Up till now clear evidence is lacking on the kind of physical activity, intensity, duration and frequency needed to achieve cognitive benefits. By measuring both with accelerometers and self-report questionnaires we hope to gain insight in these processes.

TRIAL REGISTRATION

Nederlands Trial Register NL6005 ; Date of Registration 21-03-2017.

Characteristics of Adopters of an Online Social Networking Physical Activity Mobile Phone App: Cluster Analysis

Background

To date, many online health behavior programs developed by researchers have not been translated at scale. To inform translational efforts, health researchers must work with marketing experts to design cost-effective marketing campaigns. It is important to understand the characteristics of end users of a given health promotion program and identify key market segments.

Objective

This study aimed to describe the characteristics of the adopters of Active Team, a gamified online social networking physical activity app, and identify potential market segments to inform future research translation efforts.

Methods

Participants (N=545) were Australian adults aged 18 to 65 years who responded to general advertisements to join a randomized controlled trial (RCT) evaluating the Active Team app. At baseline they provided demographic (age, sex, education, marital status, body mass index, location of residence, and country of birth), behavioral (sleep, assessed by the Pittsburgh Quality Sleep Index) and physical activity (assessed by the Active Australia Survey), psychographic information (health and well-being, assessed by the PERMA [Positive Emotion, Engagement, Relationships, Meaning, Achievement] Profile; depression, anxiety and stress, assessed by the Depression, Anxiety, and Stress Scale [DASS-21]; and quality of life, assessed by the 12-Item Short Form Health Survey [SF-12]). Descriptive analyses and a k-medoids cluster analysis were performed using the software R 3.3.0 (The R Foundation) to identify key characteristics of the sample.

Results

Cluster analyses revealed four clusters: (1) younger inactive women with poor well-being (218/545), characterized by a higher score on the DASS-21, low mental component summary score on the SF-12, and relatively young age; (2) older, active women (153/545), characterized by a lower score on DASS-21, a higher overall score on the SF-12, and relatively older age; (3) young, active but stressed men (58/545) with a higher score on DASS-21 and higher activity levels; and (4) older, low active and obese men (30/545), characterized by a high body mass index and lower activity levels.

Conclusions

Understanding the characteristics of population segments attracted to a health promotion program will guide the development of cost-effective research translation campaigns.

Trial Registration

Australian New Zealand Clinical Trial Registry ACTRN12617000113358; https://www.anzctr.org .au/Trial/Registration/TrialReview.aspx?id=371463

International Registered Report Identifier (IRRID)

RR2-10.1186/s12889-017-4882-7

Validity and responsiveness to change of the Active Australia Survey according to gender, age, BMI, education, and physical activity level and awareness

BACKGROUND

This study aimed to investigate the validity of the Active Australia Survey across different subgroups and its responsiveness to change, as few previous studies have examined this.

METHODS

The Active Australia Survey was validated against the ActiGraph as an objective measure of physical activity. Participants (n = 465) wore the ActiGraph for 7 days and subsequently completed the Active Australia Survey. Moderate activity, vigorous activity and total moderate and vigorous physical activity were compared using Spearman rank-order correlations. Changes in physical activity between baseline and 3-month assessments were correlated to examine responsiveness to change. The data were stratified to assess outcomes according to different subgroups (e.g., gender, age, weight, activity levels).

RESULTS

With regards to the validity, a significant correlation of ρ = 0.19 was found for moderate physical activity, ρ = 0.33 for vigorous physical activity and ρ = 0.23 for moderate and vigorous physical activity combined. For vigorous physical activity correlations were higher than 0.3 for most subgroups, whereas they were only higher than 0.3 in those with a healthy weight for the other activity outcomes. With regards to responsiveness to change, a correlation of ρ = 0.32 was found for moderate physical activity, ρ = 0.19 for vigorous physical activity and ρ = 0.35 for moderate and vigorous physical activity combined. For moderate and vigorous activity combined correlations were higher than 0.4 for several subgroups, but never for vigorous physical activity.

CONCLUSIONS

Little evidence for the validity of Active Australia Survey was found, although the responsiveness to change was acceptable for several subgroups. Findings from studies using the Active Australia Survey should be interpreted with caution.

TRIAL REGISTRATION

World Health Organisation Universal Trial Number: U111-1119-1755. Australian New Zealand Clinical Trials Registry, ACTRN12611000157976 . Registration date: 8 March 2011.

Short-term efficacy of a computer-tailored physical activity intervention for prostate and colorectal cancer patients and survivors: a randomized controlled trial

BACKGROUND

Physical activity (PA) is beneficial in improving negative physical and psychological effects of cancer and cancer treatment, but adherence to PA guidelines is low. Computer-tailored PA interventions can reach large populations with little resources. They match with patients' preference for home-based, unsupervised PA programs and are thus promising for the growing population of cancer survivors. The current study assessed the efficacy of a computer-tailored PA intervention in (four subgroups of) prostate and colorectal cancer survivors.

METHODS

Prostate and colorectal cancer patients and survivors were randomized to the OncoActive intervention group (N = 249), or a usual-care waiting-list control group (N = 229). OncoActive participants received a pedometer and computer-tailored PA advice, both Web-based via an interactive website and with printed materials. Minutes moderate-to-vigorous PA (MVPA) and days ≥30 min PA were assessed with an accelerometer (ActiGraph) at baseline and 6 months. Further, questionnaires were used to assess self-reported PA, fatigue, distress, and quality of life at baseline, 3 and 6 months. Differences between both groups were assessed using linear regression analyses (complete cases and intention-to-treat). In addition, efficacy in relation to age, gender, education, type of cancer, and time since treatment was examined.

RESULTS

Three months after baseline OncoActive participants significantly increased their self-reported PA (PA days: d = 0.46; MVPA: d = 0.23). Physical functioning (d = 0.23) and fatigue (d = - 0.21) also improved significantly after three months. Six months after baseline, self-reported PA (PA days: d = 0.51; MVPA: d = 0.37) and ActiGraph MVPA (d = 0.27) increased significantly, and ActiGraph days (d = 0.16) increased borderline significantly (p = .05; d = 0.16). Furthermore, OncoActive participants reported significantly improvements in physical functioning (d = 0.14), fatigue (d = - 0.23) and depression (d = - 0.32). Similar results were found for intention-to-treat analyses. Higher increases in PA were found for colorectal cancer participants at 3 months, and for medium and highly educated participants' PA at 6 months. Health outcomes at 6 months were more prominent in colorectal cancer participants and in women.

CONCLUSIONS

The OncoActive intervention was effective at increasing PA in prostate and colorectal cancer patients and survivors. Health-related effects were especially apparent in colorectal cancer participants. The intervention provides opportunities to accelerate cancer recovery. Long-term follow-up should examine further sustainability of these effects.

TRIAL REGISTRATION

The study was registered in the Dutch Trial Register ( NTR4296 ) on October 17 2018.

A Racial Comparison of Differences between Self-Reported and Objectively Measured Physical Activity among US Adults with Diabetes

Objective

To investigate: 1) the racial/ethnic disparities in meeting the recommended physical activity as measured by subjective vs objective measures in a national sample of individuals with type 2 diabetes mellitus; and 2) the racial/ethnic differences with respect to the magnitude of the discrepancy between self-reported and objectively measured moderate-to-vigorous intensity aerobic physical activity (MVPA).

Methods

We used data from the National Health and Nutrition Examination Survey (NHANES) 2003-06 to calculate and compare the percentage of individuals with diabetes who achieved the recommended levels of physical activity as measured by subjective self-report (500 metabolic equivalents (MET)-minutes/week) and objective accelerometer measurement (150 minutes per week of MVPA) across racial/ethnic groups.

Results

71.2%, 15.7%, and 13.1% of participants were White, African American, and Hispanic, respectively. Based on self-report, 67.1%, 39.2%, and 55.1% of Whites, African Americans, and Hispanics, respectively, met the 500 MET-minutes/week threshold of physical activity (P<.0001). Objective measurement by accelerometer showed that 44.2%, 42.6%, and 65.1% of Whites, African Americans, and Hispanics, respectively, met the threshold (P<.0003).

Conclusions

Many individuals with type 2 diabetes mellitus did not meet the recommended physical activity thresholds. African Americans had the lowest proportion of meeting both the self-reported and objectively measured thresholds. White patients with diabetes overestimated frequency of their physical activity, while their Hispanic counterparts significantly underestimated it. Also, the gap between the two measures of MVPA was largest among Hispanics.

"Active Team" a social and gamified app-based physical activity intervention: randomised controlled trial study protocol

Background

Physical inactivity is a leading preventable cause of chronic disease and premature death globally, yet over half of the adult Australian population is inactive. To address this, web-based physical activity interventions, which have the potential to reach large numbers of users at low costs, have received considerable attention. To fully realise the potential of such interventions, there is a need to further increase their appeal to boost engagement and retention, and sustain intervention effects over longer periods of time. This randomised controlled trial aims to evaluate the efficacy of a gamified physical activity intervention that connects users to each other via Facebook and is delivered via a mobile app.

Methods

The study is a three-group, cluster-RCT. Four hundred and forty (440) inactive Australian adults who use Facebook at least weekly will be recruited in clusters of three to eight existing Facebook friends. Participant clusters will be randomly allocated to one of three conditions: (1) waitlist control condition, (2) basic experimental condition (pedometer plus basic app with no social and gamification features), or (3) socially-enhanced experimental condition (pedometer plus app with social and gamification features). Participants will undertake assessments at baseline, three and nine months. The primary outcome is change in total daily minutes of moderate-to-vigorous physical activity at three months measured objectively using GENEActive accelerometers [Activeinsights Ltd., UK]. Secondary outcomes include self-reported physical activity, depression and anxiety, wellbeing, quality of life, social-cognitive theory constructs and app usage and engagement.

Discussion

The current study will incorporate novel social and gamification elements in order to examine whether the inclusion of these components increases the efficacy of app-based physical activity interventions. The findings will be used to guide the development and increase the effectiveness of future health behaviour interventions.

Trial registration

This trial was registered with the Australian and New Zealand Clinical Trial Registry (ACTRN12617000113358, date of registration 23 January, 2017).

Concurrent validity and cross-validation of the Brunel Lifestyle Physical Activity Questionnaire

OBJECTIVES

Given the profoundly negative impact of inactivity on public health, it is important to have valid and reliable measures of lifestyle physical activity (LPA). The Brunel Lifestyle Physical Activity Questionnaire (BLPAQ) was designed to measure planned physical activity (PPA) and unplanned physical activity (UPA). The objective of the present study was to assess the criterion-related validity of the BLPAQ.

DESIGN

A correlational design was employed.

METHODS

A sample of British leisure centre users (N=356; age range 18-69 y: mean age 26.5±10.4 y) completed the BLPAQ and two reference measures: the Baecke Questionnaire of Habitual Physical Activity (BQHPA) and the Godin's Leisure-Time Exercise Questionnaire (GLTEQ). MANOVA was used to test for gender differences in LPA. Each measure was also cross-validated using a split-sample approach and the limits of agreement (LoA) method.

RESULTS

With the exception of the Moderate and Vigorous dimensions of the GLTEQ in the case of UPA, the remaining scores of the reference instruments were correlated with both PPA and UPA factors (p<0.05). A significant difference in levels of UPA was found between women and men (p=0.039). Furthermore, multiple linear regression analyses demonstrated that the BLPAQ subscales could be predicted by the criterion measures. The LoA analyses demonstrated satisfactory agreement between BLPAQ subscales and those of the BQHPA and GLTEQ.

CONCLUSIONS

The BLPAQ is a criterion- and cross-validated measure of PPA and UPA that can be used to assess the efficacy of LPA interventions by researchers and practitioners.

Actigraphy of Wrist and Ankle for Measuring Sleep Duration in Altitude Travelers

Latshang, Tsogyal Daniela, Daniela Juliana Mueller, Christian Maurizio Lo Cascio, Anne-Christin Stöwhas, Katrin Stadelmann, Noemi Tesler, Peter Achermann, Reto Huber, Malcolm Kohler, and Konrad Ernst Bloch. Actigraphy of wrist and ankle for measuring sleep duration in altitude travelers. High Alt Med Biol. 17:194-202, 2016-Aims: Actigraphy might be convenient to assess sleep disturbances in altitude field studies. Therefore, we evaluated whether actigraphy accurately measures sleep duration in healthy subjects traveling to altitude.

METHODS

Fifty-one healthy men, aged mean ± standard deviation (SD) 27 ± 9 years, were studied during one night at Zurich (490 m), two nights at Davos Wolfgang (1630 m), and two nights at Jakobshorn (2590 m), in randomized order. Sleep duration measured by actigraphy, using a one-axis device at the wrist (n = 51), a three-axis device at the other wrist, and a three-axis device at the ankle (n = 22), was compared with corresponding total sleep time (TST) measured by polysomnography.

RESULTS

During 255 polysomnographic overnight studies, 449 paired actigraphic recordings were obtained. The median polysomnographic-derived TST ranged from 397 to 408 minutes. Actigraphic mean TST from wrists with one-axis and three-axis devices, and from ankle agreed well with polysomnographic values with a bias of +1, -7, +6 minutes, respectively. Corresponding limits of agreement (±2 SD of bias) were ±51, ±60, and ±59 minutes. Limits of agreement of mean TST over five nights by actigraphy and polysomnography were similar to the coefficient of repeatability (2 SD of mean) of polysomnographic TST, that is, ±31, ±38, and ±36 minutes versus ±34 minutes.

CONCLUSIONS

Actigraphy of the wrist or ankle by a one-axis or a three-axis device accurately estimates mean TST in groups of subjects and mean TST over several nights in individuals traveling to altitude. Therefore, actigraphy is valuable for assessing effects of altitude and other environmental influences on sleep duration during field studies over extended periods.