Accelerometer-assessed outdoor physical activity is associated with meteorological conditions among older adults: Cross-sectional results from the OUTDOOR ACTIVE study

Quantifying time spent outdoors: A versatile method using any type of global positioning system (GPS) and accelerometer devices

Spending time outdoors is associated with increased time spent in physical activity, lower chronic disease risk, and wellbeing. Many studies rely on self-reported measures, which are prone to recall bias. Other methods rely on features and functions only available in some GPS devices. Thus, a reliable and versatile method to objectively quantify time spent outdoors is needed. This study sought to develop a versatile method to classify indoor and outdoor (I/O) GPS data that can be widely applied using most types of GPS and accelerometer devices. To develop and test the method, five university students wore an accelerometer (ActiGraph wGT3X-BT) and a GPS device (Canmore GT-730FL-S) on an elastic belt at the right hip for two hours in June 2022 and logged their activity mode, setting, and start time via activity diaries. GPS trackers were set to collect data every 5 seconds. A rule-based point cluster-based method was developed to identify indoor, outdoor, and in-vehicle time. Point clusters were detected using an application called GPSAS_Destinations and classification were done in R using accelerometer lux, building footprint, and park location data. Classification results were compared with the submitted activity diaries for validation. A total of 7,006 points for all participants were used for I/O classification analyses. The overall I/O GPS classification accuracy rate was 89.58% (Kappa = 0.78), indicating good classification accuracy. This method provides reliable I/O clarification results and can be widely applied using most types of GPS and accelerometer devices.

Individual and environmental variables related to outdoor walking among older adults: Verifying a model to guide the design of interventions targeting outdoor walking

OBJECTIVE

To estimate the relationships between individual and environmental variables and outdoor walking (OW) in older adults with OW limitations through verifying a conceptual model.

METHODS

Baseline data from 205 older adults participating in a randomized trial of a park-based OW program were analyzed using structural equation modeling. We evaluated a three latent factor model: OW (accelerometry and self-report); individual factors (balance; leg strength; walking self-confidence, speed and endurance; mental health; education; income; car access); and environmental factors (neighbourhood walkability components).

RESULTS

Mean age was 75 years; 73% were women. Individual factors was significantly associated with OW (β = 0.39, p < .01). Environmental factors was not directly associated with OW but was indirectly linked to OW through its significant covariance with the individual factors (β = 0.22, p < .01). The standardized factor loadings from the individual factors on walking self-confidence and walking capacity measures exceeded 0.65.

CONCLUSIONS

Better walking capacity and more confidence in the ability to walk outdoors are associated with higher OW in older adults. Better neighbourhood walkability is indirectly associated with more OW. The conceptual model demonstrates an individual and environment association; if the capacity of the individual is increased (potentially through walking interventions), they may be able to better navigate environmental challenges.

Effects on sedentary behaviour of an approach to reduce sedentary behaviour in patients with minor ischaemic stroke: A randomised controlled trial

OBJECTIVES

To determine the effects on sedentary behaviour of an approach that promotes reduction in sedentary behaviour in patients with minor ischaemic stroke after intervention and at follow-up.

DESIGN

A randomised controlled trial.

SETTING

During hospitalisation and after hospital discharge.

SUBJECTS

In total, 86 patients with minor ischaemic stroke admitted to an acute care hospital were assigned to the intervention (n = 43) and control (n = 43) groups.

INTERVENTION

An intervention group that received an approach to reduce sedentary behaviour upon hospital admission until 3 months after discharge (education, self-monitoring, phone calls, etc.) and a control group that received the usual care during hospitalisation. From 3 to 6 months after discharge, no group received any intervention.

MAIN OUTCOME

The primary outcome was the change (%) in sedentary behaviour from baseline to post-intervention (3 months after discharge) and follow-up (6 months after discharge). Sedentary behaviour was measured at baseline (upon hospital admission), post-intervention, and at follow-up using accelerometers.

RESULTS

At the post-intervention stage, the intervention group showed a significantly greater change in sedentary behaviour from baseline than that shown by the control group (sedentary behaviour: intervention group, -22.7%; control group, -14.9%; P = 0.013; effect size = 0.58). At follow-up too, the intervention group showed a significantly greater change in sedentary behaviour from baseline than that shown by the control group (sedentary behaviour: intervention group, -20.4%; control group, -13.6%; P = 0.025; effect size = 0.54).

CONCLUSIONS

An approach to reduce sedentary behaviour in patients with minor ischaemic stroke effectively reduces sedentary behaviour, which is sustained up to follow-up.

TRIAL REGISTRATION

This study is registered at www.umin.ac.jp/ctr/index/htm UMIN000038616.

Distinct physical activity and sedentary behavior trajectories in older adults during participation in a physical activity intervention: a latent class growth analysis

Background

This study aimed to identify latent moderate-to-vigorous intensity physical activity (MVPA) and sedentary behavior (SB) trajectories in older adults participating in a randomized intervention trial and to explore associations with baseline social-cognitive predictors.

Methods

Data were assessed at baseline (T0, participants were inactive or had recently become active), after a ten-week physical activity intervention (T1), and a second 24-week intervention phase (T2). Latent class growth analysis was used on accelerometer-assessed weekly MVPA and daily SB, respectively (n = 215 eligible participants). Activity changes within trajectory classes and baseline social-cognitive predictor differences between trajectory classes were analyzed.

Results

A “stable insufficient MVPA” (n = 197, p for difference in MVPA level at T0 and T2 (p_T0-T2) = .789, effect size (Cohen’s d) = .03) and a “stable high MVPA” trajectory (n = 18, p_T0-T2 = .137, d = .39), as well as a “slightly decreasing high SB” (n = 63, p for difference in SB (p_T0-T2) = .022, d = .36) and a “slightly increasing moderate SB” trajectory (n = 152, p_T0-T2 = .019, d = .27) emerged. Belonging to the “stable high MVPA” trajectory was associated with higher action planning levels compared to the “stable insufficient MVPA” trajectory (M = 5.46 versus 4.40, d = .50). Belonging to the “decreasing high SB” trajectory was associated with higher action self-efficacy levels compared to the “increasing moderate SB” trajectory (M = 5.27 versus 4.72, d = .33).

Conclusions

Change occurred heterogeneously in latent (not directly observed) subgroups, with significant positive trajectories only observed in the highly sedentary.

Trial registration

German Registry of Clinical Trials, DRKS00016073, Registered 10 January 2019.

Supplementary Information

The online version contains supplementary material available at 10.1186/s11556-021-00281-x.

Perspective: Opportunities and Challenges of Technology Tools in Dietary and Activity Assessment: Bridging Stakeholder Viewpoints

The science and tools of measuring energy intake and output in humans have rapidly advanced in the last decade. Engineered devices such as wearables and sensors, software applications, and Web-based tools are now ubiquitous in both research and consumer environments. The assessment of energy expenditure in particular has progressed from reliance on self-report instruments to advanced technologies requiring collaboration across multiple disciplines, from optics to accelerometry. In contrast, assessing energy intake still heavily relies on self-report mechanisms. Although these tools have improved, moving from paper-based to online reporting, considerable room for refinement remains in existing tools, and great opportunities exist for novel, transformational tools, including those using spectroscopy and chemo-sensing. This report reviews the state of the science, and the opportunities and challenges in existing and emerging technologies, from the perspectives of 3 key stakeholders: researchers, users, and developers. Each stakeholder approaches these tools with unique requirements: researchers are concerned with validity, accuracy, data detail and abundance, and ethical use; users with ease of use and privacy; and developers with high adherence and utilization, intellectual property, licensing rights, and monetization. Cross-cutting concerns include frequent updating and integration of the food and nutrient databases on which assessments rely, improving accessibility and reducing disparities in use, and maintaining reliable technical assistance. These contextual challenges are discussed in terms of opportunities and further steps in the direction of personalized health.

Seasons, weather, and device-measured movement behaviors: a scoping review from 2006 to 2020

BACKGROUND

This scoping review summarized research on (a) seasonal differences in physical activity and sedentary behavior, and (b) specific weather indices associated with those behaviors.

METHODS

PubMed, CINAHL, and SPORTDiscus were searched to identify relevant studies. After identifying and screening 1459 articles, data were extracted from 110 articles with 118,189 participants from 30 countries (almost exclusively high-income countries) on five continents.

RESULTS

Both physical activity volume and moderate-to-vigorous physical activity (MVPA) were greater in summer than winter. Sedentary behavior was greater in winter than either spring or summer, and insufficient evidence existed to draw conclusions about seasonal differences in light physical activity. Physical activity volume and MVPA duration were positively associated with both the photoperiod and temperature, and negatively associated with precipitation. Sedentary behavior was negatively associated with photoperiod and positively associated with precipitation. Insufficient evidence existed to draw conclusions about light physical activity and specific weather indices. Many weather indices have been neglected in this literature (e.g., air quality, barometric pressure, cloud coverage, humidity, snow, visibility, windchill).

CONCLUSIONS

The natural environment can influence health by facilitating or inhibiting physical activity. Behavioral interventions should be sensitive to potential weather impacts. Extreme weather conditions brought about by climate change may compromise health-enhancing physical activity in the short term and, over longer periods of time, stimulate human migration in search of more suitable environmental niches.

Constant Daily Exercise to Keep the Doctor Away: A Study of Adherence to Physical Exercise Using a Gym in Individuals Older Than 55 Years

The purpose of this study was to examine the role of using a gym as a mechanism for adherence to regular physical exercise among individuals with aged 55 and over. This was a grounded theory research design. Data were collected from face-to-face interviews and observations among 15 people who attended the gym regularly and then analysed via content analysis. Three categories emerged from the present study regarding the adherence to regular physical exercise: (1) meaningful starting points, (2) reinforcement by motivators, and (3) adherence through positive changes. Results of this study can help health policymakers, managers of gyms/fitness centres, and gym instructors to design and implement programs.