Environmental influences on indoor walking behaviours of assisted living residents

Lu, Zhipeng; Rodiek, Susan; Shepley, Mardelle McCuskey; Tassinary, Louis G.

doi:10.1080/09613218.2015.1049494

Cited by 9 publications

(8 citation statements)

References 15 publications

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“…Hanging artwork from the walls, appropriate window views and planting were emphasized to be included. The findings of this study were supported by another article by the authors (Lu et al , 2015).…”

Section: Resultssupporting

confidence: 89%

“…Also, walking indoors (corridor walking and walking in malls) is popular because of the opportunities for social interactions, smooth surfaces for walking, not being dependent of weather and protection from crime (Duncan et al , 1995; Lu, 2010). Indoor recreational walking was related negatively to the number of stories of the building and positively to the perception of looped corridors (Lu et al , 2015). However, indoor walking may provide less visual stimuli, less attractive things to see and more limited distances and options (Lu et al , 2010).…”

Section: Resultsmentioning

confidence: 99%

“…The circulation system of a building consists of interior spaces, corridors, ramps, stairs and lobbies that connect zones of a building (Lu, 2010; Zimring et al , 2005). Interior configurations, such as wide corridors and attractive assemblies, impact walking behavior at the building level (Gross and Zimring, 1990; Lu et al , 2015; Nordin et al , 2016).…”

Section: Resultsmentioning

confidence: 99%

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A systematic framework for understanding environmental design influences on physical activity in the elderly population

Gharaveis¹

2020

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Purpose This paper aims to synthesize the published literature regarding the impact of environmental design on the improvement of elderly residents’ physical activity. Design/methodology/approach To provide convergent evidence about the association between facility design/management and physical activity of elderly population, searches were conducted in the PubMed and Google Scholar databases, as well as in specific active living design journals such as Applied Gerontology, Aging and Physical Activity, Housing for the Elderly and Sports Sciences. The inclusion criteria for the final list were the articles that were qualitative, quantitative and mixed-methods studies as well as systematic reviews; written in English; related to the built environmental design; wholly or partially focused on physical activity in elderly population; and published in peer-reviewed journals between 1984 and 2019. Findings Overall, 30 studies were included in the final list. The results of this review demonstrate that design interventions can raise physical functioning inside and outside of long-term residential facilities. Increasing opportunities for walkable spaces and reducing physical barriers can result in higher levels of physical activity for the elderly population. Research limitations/implications This systematic review discloses the design strategies to enhance the level of physical activity by the elderly population based on the findings of the published literature. Overall space layout and accessibility to outdoor walkable spaces were addressed to generally promote the moderate levels of physical activity in elderly population. Practical implications Increasing opportunities for walkable spaces and reducing physical barriers result in higher level of activity for the elderly population. Corridor design and interior design ergonomic considerations were highlighted in the literature. Space layout and accessibility to outdoor walkable spaces promote the moderate levels of physical activity. Social implications Environmental design considerations are unique aspects of enhancement of activity level in the elderly population. Originality/value This systematic review discloses the design strategies to enhance the level of physical activity by the elderly population based on the findings of the published literature. Overall space layout and accessibility to outdoor walkable spaces were addressed to generally promote the moderate levels of physical activity in elderly population.

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Section: Resultssupporting

confidence: 89%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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A systematic framework for understanding environmental design influences on physical activity in the elderly population

Gharaveis¹

2020

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“…Perception of outdoor built environment was measured by using the 17-item Physical Activity Neighborhood Environment Survey [ 15 ]. Utilizing evidence from emerging studies [ 16 ], an indoor built environment survey was developed and used to capture participants’ perception of the indoor environment at home, work, and any fitness center associated with the participant.…”

Section: Methodsmentioning

confidence: 99%

A randomized community trial to advance digital epidemiological and mHealth citizen scientist compliance: A smart platform study

2021

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Background This study aims to understand how participants’ compliance and response rates to both traditional validated surveys and ecological momentary assessments (EMAs) vary across 4 cohorts who participated in the same mHealth study and received the same surveys and EMAs on their smartphones, however with cohort-specific time-triggers that differed across the 4 cohorts. Methods As part of the Smart Platform, adult citizen scientists residing in Regina and Saskatoon, Canada, were randomly assigned to 4 cohorts in 2018. Citizen Scientists provided a complex series of subjective and objective data during 8 consecutive days using a custom-built smartphone application. All citizen scientists responded to both validated surveys and EMAs that captured physical activity. However, using Smart Platform, we varied the burden of responding to validated surveys and EMAs across cohorts by using different time-triggered push notifications. Participants in Cohort 1 (n = 10) received the full baseline 209-item validated survey on day 1 of the study; whereas participants in cohorts 2 (n = 26), 3 (n = 10), and 4 (n = 25) received the same survey in varied multiple sections over a period of 4 days. We used weighted One-way Analysis of Variance (ANOVA) tests and weighted, linear regression models to assess for differences in compliance rate across the cohort groups controlling for age, gender, and household income. Results Compliance to EMAs that captured prospective physical activity varied across cohorts 1 to 4: 50.0% (95% Confidence Interval [C.I.] = 31.4, 68.6), 63.0% (95% C.I. = 50.7, 75.2), 37.5% (95% C.I. = 18.9, 56.1), and 61.2% (95% C.I. = 47.4, 75.0), respectively. The highest completion rate of physical activity validated surveys was observed in Cohort 4 (mean = 97.9%, 95% C.I. = 95.5, 100.0). This was also true after controlling for age, gender, and household income. The regression analyses showed that citizen scientists in Cohorts 2, 3, and 4 had significantly higher compliance with completing the physical activity validated surveys relative to citizen scientists in cohort group 1 who completed the full survey on the first day. Conclusions & significances The findings show that maximizing the compliance rates of research participants for digital epidemiological and mHealth studies requires a balance between rigour of data collection, minimization of survey burden, and adjustment of time- and user-triggered notifications based on citizen or patient input.

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“…Perception of outdoor built environment was measured by using the 17-item PA Neighborhood Environment Survey [ 60 ]. Utilizing evidence from emerging studies [ 61 ], an indoor built environment survey was developed and used to capture participants’ perception of the indoor environment at home, work, and any fitness center associated with the participant [ 59 ]. Apart from these surveys, citizen scientists were also asked to report demographic and historical PA data (age, gender, income, education, employment, activity levels in adolescence in different seasons, etc), height (in feet or inches or cm), and weight (in pounds or kg) to calculate body mass index and perception of their health (self-rated health).…”

Section: Methodsmentioning

confidence: 99%

The SMART Study, a Mobile Health and Citizen Science Methodological Platform for Active Living Surveillance, Integrated Knowledge Translation, and Policy Interventions: Longitudinal Study

Katapally¹,

Bhawra²,

Leatherdale³

et al. 2018

JMIR Public Health Surveill

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BackgroundPhysical inactivity is the fourth leading cause of death worldwide, costing approximately US $67.5 billion per year to health care systems. To curb the physical inactivity pandemic, it is time to move beyond traditional approaches and engage citizens by repurposing sedentary behavior (SB)–enabling ubiquitous tools (eg, smartphones).ObjectiveThe primary objective of the Saskatchewan, let’s move and map our activity (SMART) Study was to develop a mobile and citizen science methodological platform for active living surveillance, knowledge translation, and policy interventions. This methodology paper enumerates the SMART Study platform’s conceptualization, design, implementation, data collection procedures, analytical strategies, and potential for informing policy interventions.MethodsThis longitudinal investigation was designed to engage participants (ie, citizen scientists) in Regina and Saskatoon, Saskatchewan, Canada, in four different seasons across 3 years. In spring 2017, pilot data collection was conducted, where 317 adult citizen scientists (≥18 years) were recruited in person and online. Citizen scientists used a custom-built smartphone app, Ethica (Ethica Data Services Inc), for 8 consecutive days to provide a complex series of objective and subjective data. Citizen scientists answered a succession of validated surveys that were assigned different smartphone triggering mechanisms (eg, user-triggered and schedule-triggered). The validated surveys captured physical activity (PA), SB, motivation, perception of outdoor and indoor environment, and eudaimonic well-being. Ecological momentary assessments were employed on each day to capture not only PA but also physical and social contexts along with barriers and facilitators of PA, as relayed by citizen scientists using geo-coded pictures and audio files. To obtain a comprehensive objective picture of participant location, motion, and compliance, 6 types of sensor-based (eg, global positioning system and accelerometer) data were surveilled for 8 days. Initial descriptive analyses were conducted using geo-coded photographs and audio files.ResultsPictures and audio files (ie, community voices) showed that the barriers and facilitators of active living included intrinsic or extrinsic motivations, social contexts, and outdoor or indoor environment, with pets and favorable urban design featuring as the predominant facilitators, and work-related screen time proving to be the primary barrier.ConclusionsThe preliminary pilot results show the flexibility of the SMART Study surveillance platform in identifying and addressing limitations based on empirical evidence. The results also show the successful implementation of a platform that engages participants to catalyze policy interventions. Although SMART Study is currently geared toward surveillance, using the same platform, active living interventions could be remotely implemented. SMART Study is the first mobile, citizen science surveillance platform utilizing a rigorous, longitudinal, and mixed-methods investi...

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Environmental influences on indoor walking behaviours of assisted living residents

Cited by 9 publications

References 15 publications

A systematic framework for understanding environmental design influences on physical activity in the elderly population

A systematic framework for understanding environmental design influences on physical activity in the elderly population

A randomized community trial to advance digital epidemiological and mHealth citizen scientist compliance: A smart platform study

The SMART Study, a Mobile Health and Citizen Science Methodological Platform for Active Living Surveillance, Integrated Knowledge Translation, and Policy Interventions: Longitudinal Study

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