A needs assessment for self-management services for adults awaiting community-based mental health services.

BACKGROUND: High demand for services has resulted in lengthy waiting times being experienced across mental health services, both across Australia and internationally. Timely access to services is necessary to optimise the effectiveness of treatment, and prevent further mental health decline, risk of suicidality and hospitalisation for clients waiting for services to commence. The present study aims to better understand the experiences of individuals who are waiting for ongoing mental health services to commence and their preferences for additional support whilst on the waitlist, as a means to recommend alternative supports. METHODS: A link to the cross-sectional, anonymous survey was sent via text message to 2,147 clients of a mental health service, with a reminder text message sent approximately one week subsequent to those who did not opt out of the communication. Eligibility criteria included having been a client of the service in the previous 12 months, having spent time on the waiting list, being aged 16 or over and having sufficient English proficiency. RESULTS: A total of 334 participants responded to the needs assessment survey, 277 (82.9%) of which resided in the metropolitan region and 57 (17.1%) residing in the country region. Of the respondents, the majority presented with generalised anxiety/panic attacks (n = 205, 61.4%), followed by life stressors (e.g., financial concerns, relationships, n = 196, 58.7%) and lack of motivation/loss of interest (n = 196, 58.7%). Most respondents (52.7%) waited 4-12 months for ongoing services to commence and almost half (47%) reported that their mental health deteriorated during this time. Of the additional support options, most participants expressed interest in additional mental health supports (78.4%, n = 262), such as telephone support and access to online materials. There was significant interest in other supports such as exercise support (57.4%, n = 192), sleep education (56.6%, n = 190) and healthy eating support (41%, n = 137). CONCLUSION: Mental health services are experiencing significant waiting times, increasing the risk of mental health deterioration for persons waiting for services to commence. However, the findings demonstrate that there is interest for alternative support options, such as lifestyle interventions, in the interim. Desire for lifestyle support services, particularly in-person exercise programs and self-directed sleep, was especially high amongst the population of respondents within this study. Future work to rigorously develop and evaluate such lifestyle support services for mental health clients is warranted.

Effectiveness of a Lifestyle Modification Program Delivered under Real-World Conditions in a Rural Setting.

Whilst there is considerable evidence to support the efficacy of physical activity and dietary interventions in disease and death prevention, translation of knowledge into practice remains inadequate. We aimed to examine the uptake, retention, acceptability and effectiveness on physical activity, physical function, sitting time, diet and health outcomes of a Healthy Eating Activity and Lifestyle program (HEALTM) delivered under real-world conditions. The program was delivered to 430 adults living across rural South Australia. Participants of the program attended weekly 2 h healthy lifestyle education and exercise group-based sessions for 8 weeks. A total of 47 programs were delivered in over 15 communities. In total, 548 referrals were received, resulting in 430 participants receiving the intervention (78% uptake). At baseline, 74.6% of participants were female, the mean age of participants was 53.7 years and 11.1% of participants identified as Aboriginal and/or Torres Strait Islander. Follow-up assessments were obtained for 265 participants. Significant improvements were observed for walking, planned physical activity, incidental physical activity, total physical activity, 30 s chair stand, 30 s arm curl, 6 min walk, fruit consumption and vegetable consumption, sitting time and diastolic blood pressure. Positive satisfaction and favourable feedback were reported. The healthy lifestyle program achieved excellent real-world uptake and effectiveness, reasonable intervention attendance and strong program acceptability amongst rural and vulnerable communities.

Experiences of providers in delivering nutrition-focused lifestyle interventions for adults with obesity or metabolic syndrome in primary healthcare settings: a qualitative systematic review protocol.

OBJECTIVE: The objective of this review is to synthesize the best available evidence regarding primary healthcare provider experiences of delivering nutrition-focused lifestyle modification interventions for adult patients with obesity or metabolic syndrome. INTRODUCTION: There is considerable evidence available regarding the clinical effectiveness of lifestyle modification interventions for diverse patient populations. Primary healthcare providers are well-placed to deliver such interventions as a component of patient-centered care. Perceived lack of appropriate training or skills, confusion about congruence with role and lack of confidence in broaching weight or lifestyle conversations with patients prevents providers from delivering lifestyle interventions in a consistent and effective way. INCLUSION CRITERIA: This review will consider qualitative studies that explore the experiences of primary healthcare providers, including nurses, general practitioners and allied health professionals, in delivering nutrition-focused lifestyle interventions, to adults with obesity or metabolic syndrome. Provider experiences can include willingness and approach to discussing weight or lifestyle concerns with patients, clinician self-efficacy, perceived effectiveness and client acceptability of dietary interventions, and beliefs about congruence with clinician role. METHODS: The search strategy will aim to find both published and unpublished studies from databases including PubMed, CINAHL, Web of Science and Scopus. Studies published in all languages will be considered and those published prior to 2000 will be excluded to reflect current practice in primary health care. Data extracted will include specific details about the populations, context, culture, geographical location, study methods and the phenomena of interest. SYSTEMATIC REVIEW REGISTRATION NUMBER: PROSPERO CRD42019135389.

Correction to: Systematic review of the relationships between physical activity and health indicators in the early years (0-4 years).

CORRECTION: After publication of the article [1], it has been brought to our attention that an incorrect reference has been used in this article, both in the main body and additional file 2. The reference in question is #105 in the main body and #74 in additional file 2. Here it is cited as "Lindsay H, Brussoni M. Injuries and helmet use related to non-motorized wheeled activities among pediatric patients. Chronic Dis Inj Canada. 2014;34(2-3):74-81".

Systematic review of the relationships between physical activity and health indicators in the early years (0-4 years).

BACKGROUND: Given the rapid development during the early years (0-4 years), an understanding of the health implications of physical activity is needed. The purpose of this systematic review was to examine the relationships between objectively and subjectively measured physical activity and health indicators in the early years. METHODS: Electronic databases were originally searched in April, 2016. Included studies needed to be peer-reviewed, written in English or French, and meet a priori study criteria. The population was apparently healthy children aged 1 month to 59.99 months/4.99 years. The intervention/exposure was objectively and subjectively measured physical activity. The comparator was various volumes, durations, frequencies, patterns, types, and intensities of physical activity. The outcomes were health indicators ranked as critical (adiposity, motor development, psychosocial health, cognitive development, fitness) and important (bone and skeletal health, cardiometabolic health, and risks/harm). The Grading of Recommendations Assessment, Development, and Evaluation (GRADE) framework was used to assess the quality of evidence for each health indicator by each study design. RESULTS: Ninety-six studies representing 71,291 unique participants from 36 countries were included. Physical activity interventions were consistently (>60% of studies) associated with improved motor and cognitive development, and psychosocial and cardiometabolic health. Across observational studies, physical activity was consistently associated with favourable motor development, fitness, and bone and skeletal health. For intensity, light- and moderate-intensity physical activity were not consistently associated with any health indicators, whereas moderate- to vigorous-intensity, vigorous-intensity, and total physical activity were consistently favourably associated with multiple health indicators. Across study designs, consistent favourable associations with health indicators were observed for a variety of types of physical activity, including active play, aerobic, dance, prone position (infants; ≤1 year), and structured/organized. Apart from ≥30 min/day of the prone position for infants, the most favourable frequency and duration of physical activity was unclear. However, more physical activity appeared better for health. Evidence ranged from "very low" to "high" quality. CONCLUSIONS: Specific types of physical activity, total physical activity, and physical activity of at least moderate- to vigorous-intensity were consistently favourably associated with multiple health indicators. The majority of evidence was in preschool-aged children (3-4 years). Findings will inform evidence-based guidelines.

UWALK: the development of a multi-strategy, community-wide physical activity program.

UWALK is a multi-strategy, multi-sector, theory-informed, community-wide approach using e and mHealth to promote physical activity in Alberta, Canada. The aim of UWALK is to promote physical activity, primarily via the accumulation of steps and flights of stairs, through a single over-arching brand. This paper describes the development of the UWALK program. A social ecological model and the social cognitive theory guided the development of key strategies, including the marketing and communication activities, establishing partnerships with key stakeholders, and e and mHealth programs. The program promotes the use of physical activity monitoring devices to self-monitor physical activity. This includes pedometers, electronic devices, and smartphone applications. In addition to entering physical activity data manually, the e and mHealth program provides the function for objective data to be automatically uploaded from select electronic devices (Fitbit®, Garmin and the smartphone application Moves) The RE-AIM framework is used to guide the evaluation of UWALK. Funding for the program commenced in February 2013. The UWALK brand was introduced on April 12, 2013 with the official launch, including the UWALK website on September 20, 2013. This paper describes the development and evaluation framework of a physical activity promotion program. This program has the potential for population level dissemination and uptake of an ecologically valid physical activity promotion program that is evidence-based and theoretically framed.

A Systematic Review of Interventions to Increase Stair Use.

CONTEXT: Stair climbing is an accessible activity that can be incorporated into one's daily lifestyle to increase physical activity levels and provide health benefits. This review summarizes the effectiveness of stair interventions and explores key differences that may influence intervention effectiveness. EVIDENCE ACQUISITION: Interventions to increase stair use published from January 1990 to July 2015 were identified in PubMed, Sport Discus, Web of Science, Environment Complete, CINAHL, Trial Register of Promoting Health Interventions, Embase, Scopus, and PsycINFO. Eligibility criteria included original studies, published in peer-reviewed journals, targeting adult samples, and clearly describing intervention design and results. Studies were also required to measure the use of stairs compared with an elevator, escalator, or moving stairway at baseline and during at least one timepoint when the intervention was in effect. Studies were required to provide data to determine if the intervention resulted in significant changes in stair use/climbing. EVIDENCE SYNTHESIS: The search results yielded 2,136 articles in total; 54 articles met the criteria, which resulted in a final sample of 67 studies included in the analyses. Interventions settings included public sites (75%), worksites (21%), or a combination of both (4%). For Phase 1 results, 72% of studies reported significant improvements in stair use (n=10 of 14) and stair climbing (n=38 of 53). CONCLUSIONS: Evidence from the review demonstrates support for the effectiveness of interventions to increase stair use and stair climbing. Although evidence supports the effectiveness of stair interventions in public settings, less support is provided for worksites.

Web-Based Video-Coaching to Assist an Automated Computer-Tailored Physical Activity Intervention for Inactive Adults: A Randomized Controlled Trial.

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).

Interest and preferences for using advanced physical activity tracking devices: results of a national cross-sectional survey.

OBJECTIVES: Pedometers are an effective self-monitoring tool to increase users' physical activity. However, a range of advanced trackers that measure physical activity 24 hours per day have emerged (eg, Fitbit). The current study aims to determine people's current use, interest and preferences for advanced trackers. DESIGN AND PARTICIPANTS: A cross-sectional national telephone survey was conducted in Australia with 1349 respondents. OUTCOME MEASURES: Regression analyses were used to determine whether tracker interest and use, and use of advanced trackers over pedometers is a function of demographics. Preferences for tracker features and reasons for not wanting to wear a tracker are also presented. RESULTS: Over one-third of participants (35%) had used a tracker, and 16% are interested in using one. Multinomial regression (n=1257) revealed that the use of trackers was lower in males (OR=0.48, 95% CI 0.36 to 0.65), non-working participants (OR=0.43, 95% CI 0.30 to 0.61), participants with lower education (OR=0.52, 95% CI 0.38 to 0.72) and inactive participants (OR=0.52, 95% CI 0.39 to 0.70). Interest in using a tracker was higher in younger participants (OR=1.73, 95% CI 1.15 to 2.58). The most frequently used tracker was a pedometer (59%). Logistic regression (n=445) revealed that use of advanced trackers compared with pedometers was higher in males (OR=1.67, 95% CI 1.01 to 2.79) and younger participants (OR=2.96, 95% CI 1.71 to 5.13), and lower in inactive participants (OR=0.35, 95% CI 0.19 to 0.63). Over half of current or interested tracker users (53%) prefer to wear it on their wrist, 31% considered counting steps the most important function and 30% regarded accuracy as the most important characteristic. The main reasons for not wanting to use a tracker were, 'I don't think it would help me' (39%), and 'I don't want to increase my activity' (47%). CONCLUSIONS: Activity trackers are a promising tool to engage people in self-monitoring a physical activity. Trackers used in physical activity interventions should align with the preferences of target groups, and should be able to be worn on the wrist, measure steps and be accurate.

An Evaluation of Web- and Print-Based Methods to Attract People to a Physical Activity Intervention.

BACKGROUND: Cost-effective and efficient methods to attract people to Web-based health behavior interventions need to be identified. Traditional print methods including leaflets, posters, and newspaper advertisements remain popular despite the expanding range of Web-based advertising options that have the potential to reach larger numbers at lower cost. OBJECTIVE: This study evaluated the effectiveness of multiple Web-based and print-based methods to attract people to a Web-based physical activity intervention. METHODS: A range of print-based (newspaper advertisements, newspaper articles, letterboxing, leaflets, and posters) and Web-based (Facebook advertisements, Google AdWords, and community calendars) methods were applied to attract participants to a Web-based physical activity intervention in Australia. The time investment, cost, number of first time website visits, the number of completed sign-up questionnaires, and the demographics of participants were recorded for each advertising method. RESULTS: A total of 278 people signed up to participate in the physical activity program. Of the print-based methods, newspaper advertisements totaled AUD $145, letterboxing AUD $135, leaflets AUD $66, posters AUD $52, and newspaper article AUD $3 per sign-up. Of the Web-based methods, Google AdWords totaled AUD $495, non-targeted Facebook advertisements AUD $68, targeted Facebook advertisements AUD $42, and community calendars AUD $12 per sign-up. Although the newspaper article and community calendars cost the least per sign-up, they resulted in only 17 and 6 sign-ups respectively. The targeted Facebook advertisements were the next most cost-effective method and reached a large number of sign-ups (n=184). The newspaper article and the targeted Facebook advertisements required the lowest time investment per sign-up (5 and 7 minutes respectively). People reached through the targeted Facebook advertisements were on average older (60 years vs 50 years, P<.001) and had a higher body mass index (32 vs 30, P<.05) than people reached through the other methods. CONCLUSIONS: Overall, our results demonstrate that targeted Facebook advertising is the most cost-effective and efficient method at attracting moderate numbers to physical activity interventions in comparison to the other methods tested. Newspaper advertisements, letterboxing, and Google AdWords were not effective. The community calendars and newspaper articles may be effective for small community interventions. CLINICALTRIAL: Australian New Zealand Clinical Trials Registry: ACTRN12614000339651; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=363570&isReview=true (Archived by WebCite at http://www.webcitation.org/6hMnFTvBt).

Gender-Associated Perceptions of Barriers and Motivators to Physical Activity Participation in South Asian Punjabis Living in Western Canada.

BACKGROUND: Gender is a sociocultural factor known to impact the physical activity (PA) behaviors of South Asians. The purpose of this research was to examine gender-associated perceptions of barriers and motivators for PA in a South Asian population living Canada. METHODS: A random sample (N = 204) of South Asian Punjabi adults (18yrs+) completed a computer assisted telephone interview concerning their perceptions to PA participation. Content analysis was used to identify relevant main themes and chi-square analysis was used to calculate gender differences. RESULTS: Results indicated that women more often reported a lack of time due to work and family (χ2 = 7.284, df = 1, P = .007) and a lack of motivation (χ2 = 4.982, df = 1, P = .026), yet men more often reported climate (χ2 = 7.045, df = 1, P = .008) as a barrier. Regarding motivators, men more often reported prevention and reduction of disease (χ2 = 4.451, df = 1, P = .034) and watching others perform (χ2 = 10.827, df = 1, P = .001); however, reducing weight gain (χ2 = 4.806, df = 1, P = .028) and looking like others (χ2 = 4.730, df = 1, P = .029) were reported more often by women. CONCLUSIONS: Gender-associated differences concerning PA are present in this population and must be considered in the design and implementation of effective interventions.

My Activity Coach - using video-coaching to assist a web-based computer-tailored physical activity intervention: a randomised controlled trial protocol.

BACKGROUND: There is a need for effective population-based physical activity interventions. The internet provides a good platform to deliver physical activity interventions and reach large numbers of people at low cost. Personalised advice in web-based physical activity interventions has shown to improve engagement and behavioural outcomes, though it is unclear if the effectiveness of such interventions may further be improved when providing brief video-based coaching sessions with participants. The purpose of this study is to determine the effectiveness, in terms of engagement, retention, satisfaction and physical activity changes, of a web-based and computer-tailored physical activity intervention with and without the addition of a brief video-based coaching session in comparison to a control group. METHODS/DESIGN: Participants will be randomly assigned to one of three groups (tailoring + online video-coaching, tailoring-only and wait-list control). The tailoring + video-coaching participants will receive a computer-tailored web-based physical activity intervention ('My Activity Coach') with brief coaching sessions with a physical activity expert over an online video calling program (e.g. Skype). The tailoring-only participants will receive the intervention but not the counselling sessions. The primary time point's for outcome assessment will be immediately post intervention (week 9). The secondary time points will be at 6 and 12 months post-baseline. The primary outcome, physical activity change, will be assessed via the Active Australia Questionnaire (AAQ). Secondary outcome measures include correlates of physical activity (mediators and moderators), quality of life (measured via the SF-12v2), participant satisfaction, engagement (using web-site user statistics) and study retention. DISCUSSION: Study findings will inform researchers and practitioners about the feasibility and effectiveness of brief online video-coaching sessions in combination with computer-tailored physical activity advice. This may increase intervention effectiveness at an acceptable cost and will inform the development of future web-based physical activity interventions. TRIAL REGISTRATION: ACTRN12614000339651Date: 31/03/2014.

Do personally tailored videos in a web-based physical activity intervention lead to higher attention and recall? - an eye-tracking study.

Over half of the Australian population does not meet physical activity guidelines and has an increased risk of chronic disease. Web-based physical activity interventions have the potential to reach large numbers of the population at low-cost, however issues have been identified with usage and participant retention. Personalized (computer-tailored) physical activity advice delivered through video has the potential to address low engagement, however it is unclear whether it is more effective in engaging participants when compared to text-delivered personalized advice. This study compared the attention and recall outcomes of tailored physical activity advice in video- vs. text-format. Participants (n = 41) were randomly assigned to receive either video- or text-tailored feedback with identical content. Outcome measures included attention to the feedback, measured through advanced eye-tracking technology (TobiiX 120), and recall of the advice, measured through a post intervention interview. Between group ANOVA's, Mann-Whitney U tests and chi square analyses were applied. Participants in the video-group displayed greater attention to the physical activity feedback in terms of gaze-duration on the feedback (7.7 vs. 3.6 min, p < 001), total fixation-duration on the feedback (6.0 vs. 3.3 min, p < 001), and focusing on feedback (6.8 vs. 3.5 min, p < 001). Despite both groups having the same ability to navigate through the feedback, the video-group completed a significantly (p < 0.001) higher percentage of feedback sections (95%) compared to the text-group (66%). The main messages were recalled in both groups, but many details were forgotten. No significant between group differences were found for message recall. These results suggest that video-tailored feedback leads to greater attention compared to text-tailored feedback. More research is needed to determine how message recall can be improved, and whether video-tailored advice can lead to greater health behavior change.

Peer educator vs. respiratory therapist support: which form of support better maintains health and functional outcomes following pulmonary rehabilitation?

OBJECTIVE: This study examined if ongoing support delivered by telephone following pulmonary rehabilitation (PR) assisted chronic obstructive pulmonary disease (COPD) patients to maintain health outcomes. METHODS: Phase one (n=79) compared post-rehabilitation telephone-based support delivered by peers compared to usual care (UC). The second phase (n=168) compared post-rehabilitation support from peer educators, respiratory therapists (RT), or UC. Primary outcome variables were St. George's Respiratory Questionnaire (SGRQ) total score and the six minute walk test (6MWT). Measures were obtained at baseline, immediately following PR, and six-months post PR. RESULTS: Six-month follow-up data for phase one was collected for 66 COPD patients (n=35 peer support, n=31 UC) and 142 for phase two (n=42 peer support, n=52 RT support, n=48 UC). Per-protocol and intention to treat (ITT) analysis in both phases found no significant group by time differences for SGRQ or 6MWT. CONCLUSION: Providing peer or RT support via telephone following PR was not more effective than UC for maintaining health outcomes. PRACTICE IMPLICATIONS: There are concerns with using peers to provide ongoing support to COPD patients. Additionally, COPD patients require a higher level of care than telephone support can provide.

Effectiveness of a web-based physical activity intervention for adults with Type 2 diabetes-a randomised controlled trial.

OBJECTIVE: This study examined the effectiveness of a fully automated web-based programme to increase physical activity in adults with Type 2 diabetes. METHODS: Between May and July 2010, participants were randomly allocated into either a 12-week intervention (n=195) or a control (n=202) group. Participants were adults diagnosed with Type 2 diabetes, residing in Australia. Participants were assessed at baseline, 12 and 36weeks. The primary physical activity outcome was self-reported minutes of total physical activity. Secondary physical activity outcomes included minutes spent walking, and engaged in moderate, and vigorous physical activity. Additional measures included website satisfaction and website usage. The intervention consisted of a 12-week web-based physical activity intervention developed based on the Theory of Planned Behavior and self-management framework. Data were analysed from 2011 to 2012. RESULTS: There was a significant group-by-time interaction (X(2) (df=1)=6.37, p<.05) for total physical activity favouring the intervention group d=0.11, for those who completed the intervention, however this was not significant in the intention-to-treat analysis d=0.01. The intervention yielded high website satisfaction and usage. CONCLUSIONS: In general, there is some evidence for the effectiveness of web-based interventions for improving physical activity levels; however it is clear that maintaining improvements remains an issue.