Feasibility of a Virtual Health-Promoting Intervention (Choose to Move) for Older Adults: A Rapid Adaptation in Response to COVID-19.

To support older adults during the first wave of COVID-19, we rapidly adapted our effective health-promoting intervention (Choose to Move [CTM]) for virtual delivery in British Columbia, Canada. The intervention was delivered (April-October 2020) to 33 groups of older adults ("programs") who were a convenience sample (had previously completed CTM in person; n = 153; 86% female; 73 [6] years). We compared implementation outcomes (recruitment, dose received, retention, and completion of virtual data collection) to predetermined feasibility targets. We assessed mobility, physical activity, and social health outcomes pre- and postintervention (3 months) with validated surveys. We met most (dose received, retention, and virtual data collection), but not all (recruitment), feasibility targets. Approximately two thirds of older adults maintained or improved mobility, physical activity, and social health outcomes at 3 months. It was feasible to implement and evaluate CTM virtually. In future, virtual CTM could help us reach homebound older adults and/or serve as support during public health emergencies.

Rapidly adapting an effective health promoting intervention for older adults-choose to move-for virtual delivery during the COVID-19 pandemic.

BACKGROUND: The COVID-19 (COVID) pandemic shifted way of life for all Canadians. 'Stay-at-home' public health directives counter transmission of COVID but may cause, or exacerbate, older adults' physical and social health challenges. To counter unintentional consequences of these directives, we rapidly adapted an effective health promoting intervention for older adults-Choose to Move (CTM)-to be delivered virtually throughout British Columbia (BC). Our specific objectives were to 1. describe factors that influence whether implementation of CTM virtually was acceptable, and feasible to deliver, and 2. assess whether virtual delivery retained fidelity to CTM's core components. METHODS: We conducted a 3-month rapid adaptation feasibility study to evaluate the implementation of CTM, virtually. Our evaluation targeted two levels of implementation within a larger socioeconomic continuum: 1. the prevention delivery system, and 2. older adult participants. We implemented 33 programs via Zoom during BC's 1st wave acute and transition stages of COVID (April-October 2020). We conducted semi-structured 30-45 min telephone focus groups with 9 activity coaches (who delivered CTM), and semi-structured 30-45 min telephone interviews with 30 older adult participants, at 0- and 3-months. We used deductive framework analysis for all qualitative data to identify themes. RESULTS: Activity coaches and older adults identified three key factors that influenced acceptability (a safe and supportive space to socially connect, the technological gateway, and the role of the central support unit) and two key factors that influenced feasibility (a virtual challenge worth taking on and CTM flexibility) of delivering CTM virtually. Activity coaches also reported adapting CTM during implementation; adaptations comprised two broad categories (time allocation and physical activity levels). CONCLUSION: It was feasible and acceptable to deliver CTM virtually. Programs such as CTM have potential to mitigate the unintended consequences of public health orders during COVID associated with reduced physical activity, social isolation, and loneliness. Adaptation and implementation strategies must be informed by community delivery partners and older adults themselves. Pragmatic, virtual health promoting interventions that can be adapted as contexts rapidly shift may forevermore be an essential part of our changing world.

Pragmatic Evaluation of Older Adults' Physical Activity in Scale-Up Studies: Is the Single-Item Measure a Reasonable Option?

Convergent validity and responsiveness to change of the single-item physical activity measure were assessed in adults aged 60 years and older, at baseline (n = 205) and 6 months (n = 177) of a health promotion program, Choose to Move. Spearman correlations were used to examine associations between physical activity as measured by the single-item measure and the Community Health Activities Model Program for Seniors (CHAMPS) questionnaire at baseline and for 6-month change in all participants and for sex and age (60-74 years, and ≥75 years) subgroups. Effect size assessed responsiveness to change in physical activity for both tools. Baseline physical activity by the single-item measure correlated moderately with physical activity by the CHAMPS questionnaire in all participants and subgroups. Correlations were weaker for change in physical activity. Effect size for physical activity change was larger for the single-item measure than for the CHAMPS questionnaire. The single-item measure is a valid, pragmatic tool for use in intervention and scale-up studies with older adults.

"It makes me feel not so alone": features of the Choose to Move physical activity intervention that reduce loneliness in older adults.

BACKGROUND: Despite the well-known health benefits of physical activity (PA), older adults are the least active citizens. Older adults are also at risk for loneliness. Given that lonely individuals are at risk for accelerated loss of physical functioning and health with age, PA interventions that aim to enhance social connectedness may decrease loneliness and increase long-term PA participation. The objectives of this mixed-method study are to: (1) evaluate whether an evidence-based PA intervention (Choose to Move; CTM) influenced PA and loneliness differently among self-identified 'lonely' versus 'not lonely' older adults and (2) to describe factors within CTM components most likely to promote social connectedness/reduce loneliness. METHODS: CTM is a flexible, scalable, community-based health promoting physical activity intervention for older adults. Two community delivery partner organizations delivered 56 CTM programs in 26 urban locations across British Columbia. We collected survey data from participants (n = 458 at baseline) at 0 (baseline), 3 (mid-intervention) and 6 (post-intervention) months. We conducted in depth interviews with a subset of older adults to understand how CTM facilitated or impeded their PA and social connectedness. RESULTS: PA increased significantly from baseline to 3 months in lonely and not lonely participants. PA decreased significantly from 3 to 6 months in lonely participants; however, PA at 6 months remained significantly above baseline levels in both groups. Loneliness decreased significantly from baseline to 3 and 6 months in participants identifying as lonely at baseline. Factors within CTM components that promote social connectedness/reduce loneliness include: Activity coach characteristics/personality traits and approaches; opportunity to share information and experiences and learn from others; engagement with others who share similar/familiar experiences; increased opportunity for meaningful interaction; and accountability. CONCLUSION: Health promoting interventions that focus on PA and social connectedness through group-based activities can effectively reduce social isolation and loneliness of older adults. Given the 'epidemic of loneliness' that plagues many countries currently, these kinds of interventions are timely and important. Research that further delineates mechanisms (e.g., sharing experiences vs. lectures), that modify the effect of an intervention on social connectedness outcomes for older adults engaged in community-based PA programs would be a welcome addition to the literature.

Physical activity is good for older adults-but is programme implementation being overlooked? A systematic review of intervention studies that reported frameworks or measures of implementation.

OBJECTIVE: To examine older adult physical activity (PA) intervention studies that evaluated implementation and/or scale-up. Research question 1: What implementation and/or scale-up indicators (specific, observable and measurable characteristics that show the progress of implementation) were reported? Research question 2: What implementation and/or scale-up frameworks were reported? Research question 3: Did studies evaluate the relationship between implementation or scale-up of the intervention and individual level health/behaviour outcomes? If yes, how? DESIGN: Systematic review. DATA SOURCES: Publications from electronic databases and hand searches (2000 to December 2019). ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Any PA intervention studies with community-dwelling older adult participants (mean age ≥60 years). Required indicators: (a) Must report amount of PA as an outcome, with validated self-report or objective measures, and (b) Must have reported at least one implementation or scale-up framework and/or one implementation or scale-up indicator. RESULTS: 137 studies were included for research question 1, 11 for question 2 and 22 for question 3. 137 studies reported an implementation indicator: 14 unique indicators. None were specified as indicators for scale-up evaluation. 11 studies were guided by an implementation or scale-up framework. 22 studies described a relationship between an implementation indicator and an individual-level health outcome. CONCLUSION: There is need for implementation research that extends beyond analysis at the individual level, includes clearly defined indicators and provides a guiding framework to support PA initiatives in older adults. Such implementation studies should evaluate factors in the broader context (eg,political, environmental) that influence scale-up. PROSPERO REGISTRATION: CRD42018091839.

Recreational Therapy to Promote Mobility in Long-Term Care: A Scoping Review.

The objective of this study was to explore and synthesize evidence on the effectiveness and implementation of recreational therapy programs to enhance mobility outcomes (e.g., balance, functional performance, fall incidence) for older adults in long-term care. The authors conducted a scoping review of 66 studies following the PRISMA guidelines. Two independent reviewers evaluated each article, and a third reviewer resolved discrepancies. Randomized controlled studies provided strong to moderate evidence that tai chi programs, walking, dancing, and ball games improve flexibility, functional mobility, and balance. Studies assessing program implementation highlighted that program delivery was facilitated by clear instruction, encouragement, attendance documentation, and minimal equipment. This review elucidated the benefit of recreational therapy programs on mobility. It also identified the need for customized programs based on individuals' interests and their physical and mental abilities. These findings and recommendations will assist practitioners in designing effective and feasible recreational therapy programs for long-term care.

Comprehensive Geriatric Care to Improve Mobility after Hip Fracture: An RCT.

BACKGROUND: Comprehensive geriatric care (CGC) for older adults during hospitalization for hip fracture can improve mobility, but it is unclear whether CGC delivered after a return to community living improves mobility compared with usual post-discharge care. OBJECTIVE: To determine if an outpatient clinic-based CGC regime in the first year after hip fracture improved mobility performance at 12 months. METHODS: A two-arm, 1:1 parallel group, pragmatic, single-blind, single-center, randomized controlled trial at 3 hospitals in Vancouver, BC, Canada. Participants were community-dwelling adults, aged ≥65 years, with a hip fracture in the previous 3-12 months, who had no dementia and walked ≥10 m before the fracture occurred. Target enrollment was 130 participants. Clinic-based CGC was delivered by a geriatrician, physiotherapist, and occupational therapist. Primary outcome was the Short Physical Performance Battery (SPPB; 0-12) at 12 months. RESULTS: We randomized 53/313 eligible participants with a mean (SD) age of 79.7 (7.9) years to intervention (n = 26) and usual care (UC, n = 27), and 49/53 (92%) completed the study. Mean 12-month (SD) SPPB scores in the intervention and UC groups were 9.08 (3.03) and 8.24 (2.44). The between-group difference was 0.9 (95% CI -0.3 to 2.0, p = 0.13). Adverse events were similar in the 2 groups. CONCLUSION: The small sample size of less than half our recruitment target precludes definitive conclusions about the effect of our intervention. However, our results are consistent with similar studies on this population and intervention.

Getting Ready for Scale-Up of an Effective Older Adult Physical Activity Program: Characterizing the Adaptation Process.

To optimize public health impact, health interventions must be delivered widely to reach the population in need. Yet, few interventions are ever implemented at broad scale (scaled-up). Thus it is necessary to devise implementation strategies that support scale-up of effective interventions. Adapting an intervention and implementation strategies to the local context to improve "fit" at scale-up is critical to success. Therefore, our study responds to a call to build a database of systematic adaptations of evidence-based interventions across populations and contexts, including scaled-up designs. To do so, we focus on the process of adapting an effective physical activity program for older adults, called Choose to Move (CTM), for scale-up. Our objectives were to describe the systematic process of adapting CTM for scale-up across British Columbia (BC) and to report the actual changes made to CTM. We adopted a 6-step process: (1) identify stakeholders; (2) conduct needs assessment; (3) develop prototype of adaptations; (4) validate prototype with stakeholders; (5) create adapted program; and (6) pilot test adaptations. For the adaptation process, we described each step and organized data within an adaptation coding system. Results showed that adaptations to CTM span program content, program context, and the training modules. For example, to address the request by CTM participants for more opportunities to socially connect with others, we added more group meetings, reduced phone check-ins, and integrated aspects of training related to social cohesion. Our study extends the current literature by providing researchers a clear pathway toward adapting health promotion interventions for scale-up.

Factors that influence implementation at scale of a community-based health promotion intervention for older adults.

BACKGROUND: Despite the many known benefits of physical activity (PA), relatively few older adults are active on a regular basis. Older adult PA interventions delivered in controlled settings showed promising results. However, to achieve population level health impact, programs must be effectively scaled-up, and few interventions have achieved this. To effectively scale-up it is essential to identify contextual factors that facilitate or impede implementation at scale. Our aim is to describe factors that influence implementation at scale of a health promotion intervention for older adults (Choose to Move). This implementation evaluation complements our previously published study that assessed the impact of Choose to Move on older adult health indicators. METHODS: To describe factors that influenced implementation our evaluation targeted five distinct levels across a socioecological continuum. Four members of our project team conducted semi-structured interviews by telephone with 1) leaders of delivery partner organizations (n = 13) 2) recreation managers (n = 6), recreation coordinators (n = 27), activity coaches (n = 36) and participants (n = 42) [August 2015 - April 2017]. Interviews were audio-recorded and professionally transcribed and data were analyzed using framework analysis. RESULTS: Partners agreed on the timeliness and need for scaled-up evidence-based health promotion programs for older adults. Choose to Move aligned with organizational priorities, visions and strategic directions and was deemed easy to deliver, flexible and adaptable. Partners also noted the critical role played by our project team as the support unit. However, partners noted availability of financial resources as a potential barrier to sustainability. CONCLUSIONS: Even relatively simple evidence-based interventions can be challenging to scale-up and sustain. To ensure successful implementation it is essential to align with multilevel socioecological perspectives and assess the vast array of contextual factors that are at the core of better understanding successful implementation.

Men on the Move: A Randomized Controlled Feasibility Trial of a Scalable, Choice-Based, Physical Activity and Active Transportation Intervention for Older Men.

We conducted Men on the Move, a 12-week randomized controlled feasibility trial of a scalable, choice-based, physical activity (PA) and active transportation intervention. Participants were community-dwelling men aged 60 years and older (n = 29 intervention [INT] and n = 29 waitlist control [CON]). Trained activity coaches delivered: (a) one-on-one participant consultations to develop personal action plans for PA and active transportation, (b) monthly group-based motivational meetings, (c) weekly telephone support, (d) complimentary recreation and transit passes, and (e) pedometers and diaries for self-monitoring. Men on the Move demonstrated high rates of recruitment, retention, and intervention adherence. INT chose a variety of group-based and individual PAs and destinations for their personal action plans. At 12 weeks, INT achieved more steps, moderate-vigorous PA, and energy expenditure than CON. INT was also more likely to take transit and meet national guideline levels of PA. At 24 weeks follow-up, INT benefits were sustained for moderate-vigorous PA and energy expenditure.

Physical Activity Among Foreign-Born Older Adults in Canada: A Mixed-Method Study Conducted in Five Languages.

Foreign-born older adults (FBOAs) are at risk for negative health transitions in Canada. Physical activity (PA) enhances health, yet we know very little about the PA habits of FBOAs in Canada. We conducted a mixed-method study in English, Cantonese, Mandarin, Punjabi, and Hindi, with 49 South Asian and Chinese FBOAs in Vancouver, Canada. In total, 49 participants completed surveys; of these 49, 46 wore accelerometers and 18 completed in-depth interviews. Participants' mean daily step count was 7,876 (women: 8,172, men: 7,164, Chinese: 8,291, and South Asian: 7,196). The bulk of their time is spent in light and sedentary activities. PA is principally acquired through walking for errands and work performed in and around the home. This study challenges the assumption that FBOAs are less active than their nonimmigrant peers and confirms the key role of "nonexercise" and low activity, rather than moderate to vigorous, in older adults' PA acquisition.

The influence of walkability on broader mobility for Canadian middle aged and older adults: An examination of Walk Score™ and the Mobility Over Varied Environments Scale (MOVES).

Neighborhood built environments may play an important role in shaping mobility and subsequent health outcomes. However, little work includes broader mobility considerations such as cognitive ability to be mobile, social connections with community, or transportation choices. We used a population-based sample of Canadian middle aged and older adults (aged 45 and older) from the Canadian Community Health Survey-Healthy Aging (CCHS-HA, 2008-2009) to create a holistic mobility measure: Mobility over Varied Environments Scale (MOVES). Data from CCHS-HA respondents from British Columbia with MOVES were linked with Street Smart Walk Score™ data by postal code (n=2046). Mean MOVES was estimated across sociodemographic and health characteristics. Linear regression, adjusted for relevant covariates, was used to estimate the association between Street Smart Walk Score™ and the MOVES. The mean MOVES was 30.67 (95% confidence interval (CI) 30.36, 30.99), 5th percentile 23.27 (CI 22.16, 24.38) and 95th percentile was 36.93 (CI 35.98, 37.87). MOVES was higher for those who were younger, married, higher socioeconomic status, and had better health. In unadjusted models, for every 10 point increase in Street Smart Walk Score™, MOVES increased 4.84 points (CI 4.52, 5.15). However, results attenuated after adjustment for sociodemographic covariates: each 10 point increase in Street Smart Walk Score™ was associated with a 0.10 (CI 0.00, 0.20) point increase in MOVES. The modest but important link we observed between walkability and mobility highlights the implication of neighborhood design on the health of middle aged and older adults.

Neighborhood walkability, physical activity, and walking for transportation: A cross-sectional study of older adults living on low income.

BACKGROUND: Walking, and in particular, outdoor walking, is the most common form of physical activity for older adults. To date, no study investigated the association between the neighborhood built environment and physical activity habits of older adults of low SES. Thus, our overarching aim was to examine the association between the neighborhood built environment and the spectrum of physical activity and walking for transportation in older adults of low socioeconomic status. METHODS: Cross-sectional data were from the Walk the Talk Study, collected in 2012. Participants (n = 161, mean age = 74 years) were in receipt of a rental subsidy for low income individuals and resided in neighbourhoods across Metro Vancouver, Canada. We used the Street Smart Walk Score to objectively characterize the built environment main effect (walkability), accelerometry for objective physical activity, and the Community Healthy Activities Model Program for Seniors (CHAMPS) questionnaire to measure walking for transportation. We used regression analyses to examine associations of objectively measured physical activity [total volume, light intensity and moderate intensity physical activity (MVPA)] and self-reported walking for transportation (any, frequency, duration) with walkability. We adjusted analyses for person- and environment-level factors associated with older adult physical activity. RESULTS: Neighbourhood walkability was not associated with physical activity volume or intensity and self-reported walking for transportation, with one exception. Each 10-point increase in Street Smart Walk Score was associated with a 45% greater odds of any walking for transportation (compared with none; OR = 1.45, 95% confidence interval = 1.18, 1.78). Sociodemographic, physical function and attitudinal factors were significant predictors of physical activity across our models. CONCLUSIONS: The lack of associations between most of the explored outcomes may be due to the complexity of the relation between the person and environment. Given that this is the first study to explore these associations specifically in older adults living on low income, this study should be replicated in other settings.

Developing a comprehensive measure of mobility: mobility over varied environments scale (MOVES).

BACKGROUND: While recent work emphasizes the multi-dimensionality of mobility, no current measure incorporates multiple domains of mobility. Using existing conceptual frameworks we identified four domains of mobility (physical, cognitive, social, transportation) to create a "Mobility Over Varied Environments Scale" (MOVES). We then assessed expected patterns of MOVES in the Canadian population. METHODS: An expert panel identified survey items within each MOVES domain from the Canadian Community Health Survey- Healthy Aging Cycle (2008-2009) for 28,555 (weighted population n = 12,805,067) adults (≥45 years). We refined MOVES using principal components analysis and Cronbach's alpha and weighted items so each domain was 10 points. Expected mobility trends, as assessed by average MOVES, were examined by sociodemographic and health factors, and by province, using Analysis of Variance (ANOVA). RESULTS: MOVES ranged from 0 to 40, where 0 represents individuals who are immobile and 40 those who are fully mobile. Mean MOVES was 29.58 (95% confidence interval (CI) 29.49, 29.67) (10th percentile: 24.17 (95% CI 23.96, 24.38), 90th percentile: 34.70 (CI 34.55, 34.85)). MOVES scores were lower for older, female, and non-white Canadians with worse health and lower socioeconomic status. MOVES was also lower for those who live in less urban areas. CONCLUSIONS: MOVES is a holistic measure of mobility for characterizing older adult mobility across populations. Future work should examine individual or neighborhood predictors of MOVES and its relationship to broader health outcomes. MOVES holds utility for research, surveillance, evaluation, and interventions around the broad factors influencing mobility in older adults.

Micro-structural bone changes in early rheumatoid arthritis persist over 1-year despite use of disease modifying anti-rheumatic drug therapy.

BACKGROUND: We used High Resolution - peripheral Quantitative CT (HR-pQCT) imaging to examine peri-articular bone quality in early rheumatoid arthritis (RA) and explore whether bone quality improved over 12-months in individuals receiving care consistent with practice guidelines. METHODS: A 1-year longitudinal cohort study (Baseline and 12-months) evaluating individuals with early RA compared to age/sex-matched peers. Personal demographic and health and lifestyle information were collected for all. Whereas, active joint count (AJC28), functional limitation, and RA medications were also collected for RA participants. HR-pQCT imaging analyses quantified bone density and microstructure in the Metacarpal Head (MH) and Ultra-Ultra-Distal (UUD) radius at baseline and 12-months. Analyses included a General Linear Modelling repeated measures analyses examined main effects for disease, time, and interaction on bone quality. RESULTS: Participants (n = 60, 30 RA/30 NRA); 80% female, mean age 53 (varying from 21 to 74 years). At baseline, RA participants were on average 7.7 months since diagnosis, presenting with few active joints (AJC28: 30% none, remaining 70% Median 4 active joints) and minimal self-reported functional limitation (mHAQ-DI0-3: 0.56). At baseline, 29 of 30 RA participants had received one or more non-biologic disease-modifying anti-rheumatic drugs (DMARD);13 in combination with glucocorticoid and 1 in combination with a biologic medication. One participant only received glucocorticoid medication. Four RA participants withdrew leaving 26 pairs (n = 52) at 12-months; 23 pairs (n = 46) with UUD and 22 pairs (n = 44) with MH baseline and 12-month images to compare. Notable RA/NRA differences (p < 0.05) in bone quality at all three sites included lower trabecular bone density and volume, more rod-like trabeculae, and larger and more variable spaces between trabeculae; fewer trabeculae at the UUD and MH2 sites; and lower cortical bone density and volume in the MH sites. Rate of change over 12-months did not differ between RA/NRA participants which meant there was also no improvement over the year in RA bone quality. CONCLUSIONS: Early changes in peri-articular bone density and microstructure seen in RA are consistent with changes more commonly seen in aging bone and are slow or resistant to recover despite well controlled inflammatory joint symptoms with early DMARD therapy.

Bouts of Vigorous Physical Activity and Bone Strength Accrual During Adolescence.

PURPOSE: We examined the influence of vigorous physical activity (VPA) bout frequency on bone strength accrual across adolescence, independent of total volume of VPA. METHODS: We measured VPA (6 metabolic equivalents; total volume and bout frequency <5 min in duration) annually using waist-worn accelerometers (ActiGraph GT1M) in 309 adolescents (9-20 y at baseline: 99, <13 y; 126, 13-18 y; 84, >18 y) over a maximum of 4 years. We applied finite element analysis to high-resolution peripheral quantitative computed tomography scans of the distal tibia (8% site) to estimate bone strength (failure load; F.Load, Newtons). We fit a mixed effects model with maturity offset (years from age at peak height velocity) as a random effect and sex, ethnicity, tibia length, lean body mass, and VPA (volume and bout frequency) as fixed effects. RESULTS: VPA volume and bout frequency were positively associated with F.Load across adolescence; however, VPA volume did not predict F.Load once VPA bout frequency was included in the model. Participants in the upper quartile of VPA bout frequency (∼33 bouts per day) had 10% (500 N) greater F.Load across adolescence compared with participants in the lowest quartile (∼9 bouts per day; P = .012). Each additional daily bout of VPA was associated with 21 N greater F.Load, independent of total volume of VPA. CONCLUSION: Frequent VPA should be promoted for optimal bone strength accrual.

Effects of physical activity on schoolchildren's academic performance: The Active Smarter Kids (ASK) cluster-randomized controlled trial.

OBJECTIVE: To investigate the effect of a seven-month, school-based cluster-randomized controlled trial on academic performance in 10-year-old children. METHODS: In total, 1129 fifth-grade children from 57 elementary schools in Sogn og Fjordane County, Norway, were cluster-randomized by school either to the intervention group or to the control group. The children in the 28 intervention schools participated in a physical activity intervention between November 2014 and June 2015 consisting of three components: 1) 90min/week of physically active educational lessons mainly carried out in the school playground; 2) 5min/day of physical activity breaks during classroom lessons; 3) 10min/day physical activity homework. Academic performance in numeracy, reading and English was measured using standardized Norwegian national tests. Physical activity was measured objectively by accelerometry. RESULTS: We found no effect of the intervention on academic performance in primary analyses (standardized difference 0.01-0.06, p>0.358). Subgroup analyses, however, revealed a favorable intervention effect for those who performed the poorest at baseline (lowest tertile) for numeracy (p=0.005 for the subgroup∗group interaction), compared to controls (standardized difference 0.62, 95% CI 0.19-1.07). CONCLUSIONS: This large, rigorously conducted cluster RCT in 10-year-old children supports the notion that there is still inadequate evidence to conclude that increased physical activity in school enhances academic achievement in all children. Still, combining physical activity and learning seems a viable model to stimulate learning in those academically weakest schoolchildren.

A mixed-methods exploration of implementation of a comprehensive school healthy eating model one year after scale-up.

OBJECTIVE: To study the implementation of a school-based healthy eating (HE) model one year after scale-up in British Columbia (BC). Specifically, to examine implementation of Action Schools! BC (AS! BC) and its influence on implementation of classroom HE activities, and to explore factors associated with implementation. DESIGN: Diffusion of Innovations, Social Cognitive and Organizational Change theories guided our approach. We used a mixed-methods research design including focus group interviews (seven schools, sixty-two implementers) and a cross-sectional multistage survey to principals (n 36, 92 % response rate) and teachers of grades 4 to 7 (n 168, 70 % response rate). Self-reported implementation of classroom HE activities and reported use of specific AS! BC HE activities were primary implementation measures. Thematic analysis of focus group data and multilevel mixed-effect logistic regression analyses of survey data were conducted. SETTING: Elementary schools across BC, Canada. SUBJECTS: Thirty-nine school districts, thirty-six principals, 168 grade 4 to 7 teachers. RESULTS: Forty-two per cent of teachers in registered schools were implementing AS! BC HE in their classrooms. Users were 6·25 times more likely to have delivered a HE lesson in the past week. Implementation facilitators were school champions, technical support and access to resources; barriers were lack of time, loss of leadership or momentum. Implementation predictors were teacher training, self-efficacy, experience with the physical activity component of AS! BC, supportive school climate and parental post-secondary education. CONCLUSIONS: Our findings reinforce that continued teacher training and support are important public health investments that contribute to successful implementation of school-based HE models after scale-up.

Sedentary Behavior and Physical Activity Patterns in Older Adults After Hip Fracture: A Call to Action.

OBJECTIVES: To characterize patterns of sedentary behavior and physical activity in older adults recovering from hip fracture and to determine characteristics associated with activity. METHODS: Community-dwelling, Canadian adults (65 years+) who sustained hip fracture wore an accelerometer at the waist for seven days and provided information on quality of life, falls self-efficacy, cognitive functioning, and mobility. RESULTS: There were 53 older adults (mean age [SD] 79.5 [7.8] years) enrolled in the study; 49 had valid data and demonstrated high levels of sedentary time (median [p10, p90] 591.3 [482.2, 707.2] minutes/day), low levels of light activity (186.6 [72.6, 293.7]), and MVPA (2 [0.1, 27.6]), as well as few daily steps (2467.7 [617.1, 6820.4]). Regression analyses showed that age, gender, gait speed, and time since fracture were associated with outcomes. CONCLUSIONS: Older adults have long periods of sedentary time with minimal activity. Results are a call to action to encourage people to sit less and move more.