Is it possible to monitor fetal movements with a wearable device? A review of novel technologies

Stillbirth is often preceded by reduced fetal movements and obstetric intervention is necessitated for stillbirth prevention. Yet, despite fetal movements being one of the few tangible ways a pregnant woman and the clinical team can assess the wellbeing of her baby, there are few validated, objective means for pregnant women to quantify the frequency and nature of an unborn baby's movements. Traditional methods of assessing fetal wellbeing such as cardiotocography and fetal movement charts have a lack of diagnostic accuracy, and often lead to false positive intervention. The need for fetal movement counting has led to the development of objective methods to attempt to quantify movements. Some are based on electrocardiography, others on the principles of accelerometery, phonography and optical fibre technology. This review paper not only explores these technologies and evaluates the state-of the-art fetal movement monitoring, but explains the engineering principles underpinning the various technologies, and explores the importance and practice of fetal movement monitoring. To this end, we conclude that there is still a need for the continued development of innovations which will enable a pregnant woman to carry out everyday activities, whilst confident in the knowledge that her unborn child's wellbeing is being accurately monitored, and that feedback from the monitoring device is readily accessible to her.

Geographic intelligence to investigate community participation: a scoping review

PURPOSE

To understand the applicability and unique contributions of global positioning system (GPS) and geographic information system (GIS) technologies to investigate individuals' participation in the community.

METHODS

A scoping review was conducted to summarize studies that employed GPS and/or GIS to assess community participation. Systematic literature searches were performed using nine electronic databases, up to April 2022. Two independent reviewers screened studies for eligibility and extracted data from the selected studies.

RESULTS

The searches retrieved 628 articles, of which 36 met the inclusion criteria. In 31 studies, a GPS unit or GPS-enabled device monitored the community mobility of individuals with different health conditions. Tracking periods varied from five hours to 30 consecutive days. The spatiotemporal parameters obtained from satellite-based data provided information about individuals' presence in the community. Most studies combined GPS with other measuring tools (self-report diaries/questionnaires, qualitative interviews) to capture a broader description of community participation.

CONCLUSIONS

GPS and GIS are viable approaches for advancing research as they provide unique information about community participation not easily captured by other methods. The combination of available methods comprehensively address the physical and social dimensions of this construct.IMPLICATIONS FOR REHABILITATIONGlobal positioning system (GPS) and geographic information system (GIS) technology allows direct and real-time quantification of patterns of individuals' community mobility.The geographic area where individuals participate in daily living activities complements information from self-report diaries/questionnaires.Combining GPS technology with self-report diaries/questionnaires allows a broader description of individuals' community participation, addressing respectively both its physical and social dimensions.Knowledge of individuals' access to and involvement in community locations/situations may help therapists design interventions to improve community participation.

Quality of mobility measures among individuals with acquired brain injury: an umbrella review

BACKGROUND AND OBJECTIVE

While several mobility measures exist, there is large variability across measures in how mobility is conceptualized, the source of information and the measurement properties making it challenging to select relevant mobility measures for individuals with acquired brain injury (ABI). Therefore, the objective was to conduct a comprehensive synthesis of existing evidence on the measurement properties, the interpretability and the feasibility of mobility measures from various sources of information (patients, clinicians, technology) using an umbrella review of published systematic reviews among individuals with ABI.

METHODS

Ovid MEDLINE, CINHAL, Cochrane Library and EMBASE electronic databases were searched from 2000 to March 2020. Two independent reviewers appraised the methodological quality of the systematic reviews using the Joanna Briggs Institute critical appraisal checklist. Measurement properties and quality of evidence were applied according to COnsensus-based Standards for the Selection of Health Measurement Instrument (COSMIN) guidelines. Mobility measures were categorized using international standards with the international classification of functioning, disability and health (ICF).

RESULTS

Thirty-five systematic reviews were included covering 147 mobility measures, of which 85% were mapped to the ICF Activity and Participation component. Results showed an acceptable overall "sufficient" rating for reliability, construct validity and responsiveness for 132 (90%), 127 (86%) and 76 (52%) of the measures, respectively; however, among these measures, ≤ 25% of the methods for evaluating these properties were rated as 'high' quality of evidence. Also, there was limited information that supports measure feasibility and scoring interpretability.

CONCLUSIONS

Future systematic reviews should report measures' content validity to support the use of the measure in clinical care and research. More evaluations of the minimal important difference and floor and ceiling effects are needed to help guide clinical interpretation.

REGISTRATION INFORMATION

International Prospective Register of Systematic Reviews (PROSPERO); ID: CRD42018100068.

Facilitators and barriers to real-life mobility in community-dwelling older adults: a narrative review of accelerometry- and global positioning system-based studies

Real-life mobility, also called "enacted" mobility, characterizes an individual's activity and participation in the community. Real-life mobility may be facilitated or hindered by a variety of factors, such as physical abilities, cognitive function, psychosocial aspects, and external environment characteristics. Advances in technology have allowed for objective quantification of real-life mobility using wearable sensors, specifically, accelerometry and global positioning systems (GPSs). In this review article, first, we summarize the common mobility measures extracted from accelerometry and GPS. Second, we summarize studies assessing the associations of facilitators and barriers influencing mobility of community-dwelling older adults with mobility measures from sensor technology. We found the most used accelerometry measures focus on the duration and intensity of activity in daily life. Gait quality measures, e.g., cadence, variability, and symmetry, are not usually included. GPS has been used to investigate mobility behavior, such as spatial and temporal measures of path traveled, location nodes traversed, and mode of transportation. Factors of note that facilitate/hinder community mobility were cognition and psychosocial influences. Fewer studies have included the influence of external environments, such as sidewalk quality, and socio-economic status in defining enacted mobility. Increasing our understanding of the facilitators and barriers to enacted mobility can inform wearable technology-enabled interventions targeted at delaying mobility-related disability and improving participation of older adults in the community.

Sarcopenia and its association with objectively measured life-space mobility and moderate-to-vigorous physical activity in the oldest-old amid the COVID-19 pandemic when a physical distancing policy is in force

Introduction

The oldest-old are highly vulnerable to sarcopenia. Physical distancing remains a common and effective infection-control policy to minimize the risk of COVID-19 transmission during the pandemic. Sarcopenia is known to be associated with impaired immunity. Moderate-to-vigorous physical activity (MVPA) and life-space mobility (LSM) are potential strategies for minimizing the risk of sarcopenia. However, a physical distancing policy might jeopardize the practice of MVPA and LSM. The purposes of this study were to identify the prevalence of sarcopenia and examine the association between MVPA and LSM with sarcopenia in the community-dwelling oldest-old during the COVID-19 pandemic.

Methods

This study employed a cross-sectional and observational design. The study was conducted in 10 community centres for older people in Hong Kong during the period of the COVID-19 pandemic (September to December 2020). Eligible participants were the oldest-old people aged ≥85 years, who were community-dwelling and had no overt symptoms of cognitive impairment or depression. Key variables included sarcopenia as measured by SARC-F, LSM as measured by a GPS built into smartphones, and MVPA as measured by a wrist-worn ActiGraph GT3X+. Variables were described by mean and frequency. A multiple linear regression was employed to test the hypotheses. The dependent variable was sarcopenia and the independent variables included LSM and MVPA.

Results

This study recruited 151 eligible participants. Their mean age was 89.8 years and the majority of them were female (n = 93/151, 61.6%). The prevalence of sarcopenia was 24.5% (n = 37/151) with a margin of error of 6.86%. MVPA was negatively associated with sarcopenia in older people (β = − 0.002, SE = 0.001, p = 0.029). However, LSM was not associated with sarcopenia.

Conclusion

The prevalence of sarcopenia in the community-dwelling oldest-old population is high. MVPA is negatively associated with sarcopenia. LSM is unrelated to sarcopenia. Sarcopenia should be recognized and the oldest-old with sarcopenia should be accorded priority treatment during the COVID-19 pandemic.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-02861-7.

How Long Should GPS Recording Lengths Be to Capture the Community Mobility of An Older Clinical Population? A Parkinson's Example

Wearable global position system (GPS) technology can help those working with older populations and people living with movement disorders monitor and maintain their mobility level. Health research using GPS often employs inconsistent recording lengths due to the lack of a standard minimum GPS recording length for a clinical context. Our work aimed to recommend a GPS recording length for an older clinical population. Over 14 days, 70 older adults with Parkinson's disease wore the wireless inertial motion unit with GPS (WIMU-GPS) during waking hours to capture daily "time outside", "trip count", "hotspots count" and "area size travelled". The longest recording length accounting for weekend and weekdays was ≥7 days of ≥800 daily minutes of data (14 participants with 156, 483.9 min recorded). We compared the error rate generated when using data based on recording lengths shorter than this sample. The smallest percentage errors were observed across all outcomes, except "hotspots count", with daily recordings ≥500 min (8.3 h). Eight recording days will capture mobility variability throughout days of the week. This study adds empirical evidence to the sensor literature on the required minimum duration of GPS recording.

Clinicians and individuals with acquired brain injury perspectives about factors that influence mobility: creating a core set of mobility domains among individuals with acquired brain injury

OBJECTIVES

To identify factors which may influence mobility and could be considered during the evaluation of mobility in individuals with acquired brain injury (ABI) following qualitative focus groups with both clinicians and individuals with ABI, to assess their needs and preferences in order to individualize their care management plans.

METHODS

Five focus groups were held, three with clinicians from 3 rehabilitation sites of CRIR (CRDM: n = 4; IURDPM: n = 3; JRH: n = 10) and two with individuals with ABI from one rehabilitation site (CRDM) (individuals with stroke: n = 5; individuals with TBI: n = 5). Focus group discussions were transcribed and analyzed using inductive and deductive thematic content approaches.

RESULTS

Four themes were identified: considering mobility holistically and individual needs, preferences, and unique experiences; assessment and intervention guidelines; support network; and uncertainty about symptoms and recovery. Using the ten-rule International Classification, Functioning, Disability, and Health framework linking process, codes were categorized into Body Functions Activity and Participation, and Environmental Factors exploring the prominent domains that mostly identify factors influencing mobility.

CONCLUSIONS

Comprehensive measurement of mobility remains an ongoing challenge owing to multiple contributing factors, ranging from personal and psychosocial factors to the influence of a myriad of environmental and community considerations. Preparing individuals with ABI for community mobility can be substantially improved if healthcare professionals employ communicative tools to facilitate shared decision making with patients and to deliver patient-centred rehabilitation care.

Relationship Between Life-Space Mobility and Health Characteristics in Older Adults Using Global Positioning System Watches

This study aimed to examine the feasibility of using global positioning system (GPS) watches to examine relationships between GPS-based life-space mobility (LSM) metrics and self-report LSM and health measures (physical, psychological, and cognitive function) among older adults. Thirty participants wore a Fitbit Surge for 3 days. Eight spatial and temporal LSM measures were derived from GPS data. About 90% of in-home movement speeds were zero, indicating the sedentary lifestyle, but they made some active out-of-home trips as the total distance traveled and size of movement area indicated. There was a significant difference in total distance traveled and 95th percentile of movement speed between mild cognitive and intact cognition groups. GPS-based higher proportion of out-of-home time was significantly associated with greater functional fitness. Greater GPS use hours were significantly associated with higher cognition. These findings suggest the potential of GPS watches to continuously monitor changes in functional health to inform prevention efforts.

Requirements and Architecture of a Cloud Based Insomnia Therapy and Diagnosis Platform: A Smart Cities Approach

Insomnia is the most common sleep disorder worldwide. Its effects generate economic costs in the millions but could be effectively reduced using digitally provisioned cognitive behavioural therapy. However, traditional acquisition and maintenance of the necessary technical infrastructure requires high financial and personnel expenses. Sleep analysis is still mostly done in artificial settings in clinical environments. Nevertheless, innovative IT infrastructure, such as mHealth and cloud service solutions for home monitoring, are available and allow context-aware service provision following the Smart Cities paradigm. This paper aims to conceptualise a digital, cloud-based platform with context-aware data storage that supports diagnosis and therapy of non-organic insomnia. In a first step, requirements needed for a remote diagnosis, therapy, and monitoring system are identified. Then, the software architecture is drafted based on the above mentioned requirements. Lastly, an implementation concept of the software architecture is proposed through selecting and combining eleven cloud computing services. This paper shows how treatment and diagnosis of a common medical issue could be supported effectively and cost-efficiently by utilising state-of-the-art technology. The paper demonstrates the relevance of context-aware data collection and disease understanding as well as the requirements regarding health service provision in a Smart Cities context. In contrast to existing systems, we provide a cloud-based and requirement-driven reference architecture. The applied methodology can be used for the development, design, and evaluation of other remote and context-aware diagnosis and therapy systems. Considerations of additional aspects regarding cost, methods for data analytics as well as general data security and safety are discussed.

Validation of an Adapted Questionnaire for Outdoor Walking Among Older Adults: The CHAMPS-OUTDOORS

The aim of this study was to examine the construct and known-groups validity of the total score of five items adapted from the Community Healthy Activities Model Program for Seniors (CHAMPS) questionnaire to measure outdoor walking (CHAMPS-OUTDOORS) in older adults. Data from the baseline assessment of the Getting Older Adult OUTdoors (GO-OUT) trial were used. Construct validity of the CHAMPS-OUTDOORS used objective measures of outdoor walking (accelerometry-GPS), Ambulatory Self-Confidence Questionnaire, RAND-36, 6-min walk test, 10-m walk test, and Mini-Balance Evaluation System Test. For known-groups validity, we compared the CHAMPS-OUTDOORS of those who walked < or ≥1.2 m/s. Sixty-five participants had an average age of 76.5 ± 7.8 years. The CHAMPS-OUTDOORS was moderately correlated with total outdoor walking time (r = .33) and outdoor steps (r = .33) per week measured by accelerometry-GPS, and weakly correlated with Mini-Balance Evaluation System Test score (r = .27). The CHAMPS-OUTDOORS did not distinguish known groups based on crosswalk speed (p = .33). The CHAMPS-OUTDOORS may be used to assess outdoor walking in the absence of accelerometry GPS. Further research examining reliability is needed.

Location monitoring of physical activity and participation in community dwelling older people: a scoping review

Background: Community participation and physical activity are important for the health of older adults. This review aimed to identify studies which have measured physical activity and community participation in older adults using Global positioning systems.Materials and methods: This scoping review searched key databases using predetermined subject headings and keywords. Two independent reviewers selected studies based on a systematic procedure following current guidelines. Inclusion criteria for studies were: participants aged over 50 years living independently in the community that reported on physical activity and/or participation inclusive of physical and social activity, and including a quantitative measure of location. All searches were limited to English. The primary review question was; "What studies have monitored the location of physical activity in an older population?" with secondary enquiries investigating the types of global positioning system devices, barriers and facilitators for activity and community participation.Results: The search returned 3723 articles (following duplicate removal) and 45 met the inclusion criteria. Studies from 12 countries published over a 12-year period were included. Participants were mainly healthy (n = 23) followed by having a cognitive impairment (n = 10). There were 14 different global positioning system devices used, assessing a variety of outcomes (n = 24). Seventeen studies identified facilitators and barriers to participation and physical activity in an older population. The most common facilitators were safety, weather and access to multi-purpose facilities. The most common barriers were weather, safety, low income/high deprivation areas and use of motor vehicles.Conclusion: This scoping review identified a variety of locational monitoring of older people using global positioning devices. Global positioning systems are a valuable tool to obtain accurate activity locations of older people. There is a need for clear guidelines regarding the use of global positioning system devices and specified outcomes in primary research to enable comparison across studies.Implications for rehabilitationPhysical activity and community participation are vital for healthy ageing.The environment can act as a facilitator or barrier to physical activity and community participation for older adults.Interventions need to target facilitators (weather, safety, facility access and social components) to maximize physical activity and community participation in older people.Interventions should be designed to reduce the barriers (weather, safety, low income and motor vehicle dependency) that prevent older adults from actively participating in their community.

Tracking Children's Physical Activity Patterns across the School Year: A Mixed-Methods Longitudinal Case Study

Despite the breadth of health benefits associated with regular physical activity (PA), many children in the UK are not sufficiently active enough to meet health guidelines, and tend to become less active as they mature into and throughout adolescence. Research has indicated that children's school, home and neighbourhood environments can all significantly influence their opportunities to engage in moderate-to-vigorous physical activity (MVPA). However, less is known about how children's MVPA patterns within these key environments may change across the school year. The current mixed-methods case study aims to explore this issue by tracking key stage 2 (KS2) and key stage 3 (KS3) children's MVPA patterns across the school year. Fifty-eight children (29 boys, 29 girls, KS2 = 34, KS3 = 24) wore an integrated global positioning systems (GPS) and heart rate (HR) monitor over four consecutive days in the first term of school (autumn), before these measurements were repeated in the two remaining school terms (winter-summer). A subsample of children (n = 6-8 per group) were invited to take part in one of six focus groups each term to further explore their PA behaviours and identify the barriers and facilitators to PA. The children's MVPA was significantly lower (p = 0.046) in term 2 (winter/spring term) than during the warmer terms (autumn and summer). All the locations showed reductions in MVPA in term 2, except indoor MVPA, which increased, and MVPA on foot in the neighbourhood, which remained consistent. Focus groups revealed location, friends, and the variety of options to be associated with MVPA, and poor weather, parental permission, and time limitations to be barriers to MVPA. This mixed-methodological, repeated-measures design study highlights differences in the activity patterns and perceptions of children over the school year. Future studies should implement longitudinal, multi-method approaches to gain deeper insight into how children's PA behaviours differ over time. Consequently, this can inform future health policies promoting children's PA throughout the year.

Wearable Sensors Quantify Mobility in People With Lower Limb Amputation During Daily Life

It is necessary to effectively assess functional mobility for appropriate prosthetic prescription and post-amputation rehabilitation. As part of this process, patients' ability for variable cadence and community ambulation are assessed in-clinic, often through visual assessments and without objective standards. The purpose of this study was to explore the clinical viability of using wearable sensors to characterize the functional mobility of people with lower limb amputation. We collected inertial measurement unit (IMU) and global positioning system (GPS) data over two weeks, from 17 individuals with lower limb amputation and 14 healthy non-amputee controls. We calculated stride-by-stride cadence, walking speed and stride lengths, along with whether they occurred in or out of the home. Self-selected walking speed was also assessed in the lab. Compared to the lab, both groups walked slower and with a lower cadence during their daily lives. There were no differences in cadence variability between groups or between strides taken in and out of the home. Both groups walked faster and with greater stride lengths away from the homes. The results suggest that functional capacity measured in the lab was not necessarily reflected in routine walking during daily life. The walking measures derived in this approach can be used to aid in the prosthetic prescription process or in the assessment of different interventions.

Discrimination of indoor versus outdoor environmental state with machine learning algorithms in myopia observational studies

BACKGROUND

Wearable smart watches provide large amount of real-time data on the environmental state of the users and are useful to determine risk factors for onset and progression of myopia. We aim to evaluate the efficacy of machine learning algorithm in differentiating indoor and outdoor locations as collected by use of smart watches.

METHODS

Real time data on luminance, ultraviolet light levels and number of steps obtained with smart watches from dataset A: 12 adults from 8 scenes and manually recorded true locations. 70% of data was considered training set and support vector machine (SVM) algorithm generated using the variables to create a classification system. Data collected manually by the adults was the reference. The algorithm was used for predicting the location of the remaining 30% of dataset A. Accuracy was defined as the number of correct predictions divided by all. Similarly, data was corrected from dataset B: 172 children from 3 schools and 12 supervisors recorded true locations. Data collected by the supervisors was the reference. SVM model trained from dataset A was used to predict the location of dataset B for validation. Finally, we predicted the location of dataset B using the SVM model self-trained from dataset B. We repeated these three predictions with traditional univariate threshold segmentation method.

RESULTS

In both datasets, SVM outperformed the univariate threshold segmentation method. In dataset A, the accuracy and AUC of SVM were 99.55% and 0.99 as compared to 95.11% and 0.95 with the univariate threshold segmentation (p < 0.01). In validation, the accuracy and AUC of SVM were 82.67% and 0.90 compared to 80.88% and 0.85 with the univariate threshold segmentation method (p < 0.01). In dataset B, the accuracy and AUC of SVM and AUC were 92.43% and 0.96 compared to 80.88% and 0.85 with the univariate threshold segmentation (p < 0.01).

CONCLUSIONS

Machine learning algorithm allows for discrimination of outdoor versus indoor environments with high accuracy and provides an opportunity to study and determine the role of environmental risk factors in onset and progression of myopia. The accuracy of machine learning algorithm could be improved if the model is trained with the dataset itself.

Measuring Community Mobility in Survivors of Stroke Using Global Positioning System Technology: A Prospective Observational Study

BACKGROUND AND PURPOSE

Returning to community mobility is important for people recovering from a stroke, yet few studies have directly measured this construct following inpatient rehabilitation. Using global positioning system (GPS) technology, we examined community mobility of survivors of stroke (SS) over the first year after discharge and compared them to an age-matched comparison group without neurological impairment.

METHODS

We conducted a prospective observational study that included SS (n = 14) and age- and location-matched comparison subjects (CS; n = 6). All participants identified target locations important to their community mobility goals and wore a GPS unit during the first, fifth and ninth weeks after discharge, or from baseline for CS, and at 26 and 52 weeks' follow up. The 6-minute walk test (SMWT), Berg balance test (BBT), Reintegration to Normal Living (RNLI), and Short Form-36 Quality of Life Survey Physical Functioning domain (SF-36-PF) were collected. Number of trips and percentage of targets visited were extracted from GPS data.

RESULTS

Twelve of 14 SS completed 9 weeks, 7 completed the full year, and no CS withdrew. The SS took fewer trips and attained fewer targets compared with CS at weeks 1 and 9, but not at weeks 5, 26, and 52. All 4 clinical outcome measures were significantly correlated to trips (Spearman r for SMWT = 0.5067, BBT = 0.3841, RNLI = 0.4119, and SF-36-PF = 0.4192).

DISCUSSION AND CONCLUSIONS

Directly measured community mobility in SS was decreased through 9 weeks following discharge from inpatient rehabilitation. The limited strength of bivariate correlations between clinical measures and number of trips supported the uniqueness of the community mobility construct.Video Abstract available for more insights from the authors (see Supplemental Digital Content 1, available at: http://links.lww.com/JNPT/A277).

Assessing life-space mobility for a more holistic view on wellbeing in geriatric research and clinical practice

Life-space mobility (LSM) is a holistic measure of resilience to physical decline and social isolation in later life. To promote its use as an outcome in geriatric studies and in clinical practice, this review paper explains the concept of LSM; outlines available questionnaires for LSM assessment, provides an overview of associations between LSM and other outcomes, and discusses emerging methods to measure LSM using wearable sensors. Based on performed activity around a central geographical anchor, LSM aims to quantify the observed contraction of daily activities associated with ageing. Several questionnaires are available to assess LSM in different contexts: the University of Alabama Life-Space Assessment and the Life-Space Questionnaire (community settings), the Nursing Home Life-Space Diameter (nursing home settings) and Life Space at Home (for house-bound populations). Some studies using GPS trackers to calculate life-space parameters reported promising results. Although these techniques reduce data collection burden, battery life and older people’s willingness to wear a tracker require further improvement before they can be used more widely. Regardless of the assessment method used, LSM was associated with measures of functional and cognitive abilities, nursing home admission and mortality. The current availability of instruments, the ongoing development of less burdensome data collection techniques, and evidence of construct validity support a case for promoting integration of LSM assessments into geriatric research studies and clinical practice. Ultimately, this will provide a more holistic view on older people’s health and wellbeing.

Challenges in using wearable GPS devices in low-income older adults: Can map-based interviews help with assessments of mobility?

Daily mobility, defined as the ability to move oneself within one's neighborhood and regions beyond, is an important construct, which affects people as they age. Having a feasible and valid measure of daily mobility is essential to understand how it affects older adults' everyday life. Given the limitations of existing measures, new tools may be needed. The purpose of the study is to assess the feasibility and practicality of using the map-based questionnaire system VERITAS and GPS devices to measure daily mobility in older adults living in a deprived neighborhood in Denmark. Older adults were recruited from two senior housing areas, completed an interview using VERITAS and wore a GPS for 7 days. Feasibility of both methods was assessed by looking at practicalities, recruitment and compliance, and ability to measure daily mobility.Thirty-four older adults completed the VERITAS questionnaire, of which 23 wore the GPS device. Remembering to wear and charge the GPS was difficult for 48% participants, whereas remembering street names and drawing routes in VERITAS was difficult for two. Both the GPS and VERITAS were able to measure 10 out of the 13 identified components of mobility; however, VERITAS seemed more qualified at measuring daily mobility for this target population. The feasibility of assessing mobility may vary by specific context and study population being investigated. Wearable technology like a GPS may not be acceptable to low socioeconomic older adults, whereas interview led self-reported measurements like VERITAS might be more suitable for a low socioeconomic elderly population.

Mapping Movement: Applying Motion Measurement Technologies to the Psychiatric Care of Older Adults

PURPOSE OF REVIEW

Recent advances in technology have changed the landscape of treatment for adults with mental illness. This review highlights technological innovations that may improve care for older adults with mental illness and neurocognitive disorders through the measurement and assessment of physical motion. These technologies include wearable sensors (such as smart watches and Fitbits), passive motion sensors, and smart home models that incorporate both active and passive motion technologies.

RECENT FINDINGS

Clinicians have evaluated motion measurement technologies in older adults with depression, dementia, anxiety, and schizophrenia. Results from studies in dementia populations suggest that motion measurement technologies can assist clinicians in diagnosing dementia earlier through the evaluation of gait, balance, and postural kinematics. Motion detection technologies can also be used to identify mood episodes at an earlier stage by detecting subtle behavioral changes. Clinicians may use the objective data provided by technologies such as accelerometers to identify illnesses earlier, which may inform treatment decisions. The data may be used as a suitable surrogate marker for detecting depression in older adults, predicting the likelihood of falls, or quantifying physical activity in older adults with chronic mental illnesses or anxiety. Motion-based technologies also have the potential to detect physical activity for older adults residing in nursing homes. Wearable technologies are generally well tolerated in older adults, although the use of new technology and electronic health data could involve privacy and security concerns among this vulnerable population.

Is a decrease of grip strength associated with community mobility restriction in dynapenic older women?

Background: Absolute grip strength (aGS) is  used to detect dynapenia, and is also an  indicator of functional impairments such as mobility limitations. The objective of this study is to investigate whether dynapenia status assessed by absolute grip strength (aGS) is associated with loss of community mobility.Method: The population studied (n=62) was composed of  a dynapenic group of women (aged 66.4 ± 4.8) according to an aGS threshold of ≤ 19.9kg and an age-matched group of nodynapenic women (aged 66.1 ± 5.2). The aGS was measured and body-weigth-related to grip strength (BW/GS) was computed. Fonctionnal laboratory tests were conducted. During 12 days, each participant wore a GPS device to obtain Transit distance in vehicle per day, Transit distance on foot per day and Ellipse area.  The Life space (LS) was assessed using the Life Space Assesment questionnaire (LSA). A Wilcoxon test was used to compare the 2 groups for the community mobility measures. Then, data of the 2 groups were pooled to assess the relationship between BW/GS and community mobility measures. A Spearman correlation was used.Results: The dynapenic group performed worse for fonctionnal capacity tests such as the step test and the walking speed. Howerver, no significant difference was found for GPS measures and LS between the two groups. No significant relationship was found for the BW/GS and community mobility measures with the GPS measures and the LS.  

Validation of Gait Characteristics Extracted From Raw Accelerometry During Walking Against Measures of Physical Function, Mobility, Fatigability, and Fitness

Background

Data collected by wearable accelerometry devices can be used to identify periods of sustained harmonic walking. This report aims to establish whether the features of walking identified in the laboratory and free-living environments are associated with each other as well as measures of physical function, mobility, fatigability, and fitness.

Methods

Fifty-one older adults (mean age 78.31) enrolled in the Developmental Epidemiologic Cohort Study were included in the analyses. The study included an "in-the-lab" component as well as 7 days of monitoring "in-the-wild" (free living). Participants were equipped with hip-worn Actigraph GT3X+ activity monitors, which collect raw accelerometry data. We applied a walking identification algorithm and defined features of walking, including participant-specific walking acceleration and cadence. The association between these walking features and physical function, mobility, fatigability, and fitness was quantified using linear regression analysis.

Results

Acceleration and cadence estimated from "in-the-lab" and "in-the-wild" data were significantly associated with each other (p < .05). However, walking acceleration "in-the-lab" was on average 96% higher than "in-the-wild," whereas cadence "in-the-lab" was on average 20% higher than "in-the-wild." Acceleration and cadence were associated with measures of physical function, mobility, fatigability, and fitness (p < .05) in both "in-the-lab" and "in-the-wild" settings. In addition, "in-the-wild" daily walking time was associated with fitness (p < .05).

Conclusions

The quantitative difference in proposed walking features indicates that participants may overperform when observed "in-the-lab." Also, proposed features of walking were significantly associated with measures of physical function, mobility, fatigability, and fitness, which provides evidence of convergent validity.

User acceptance of location-tracking technologies in health research: Implications for study design and data quality

Research regarding place and health has undergone a revolution due to the availability of consumer-focused location-tracking devices that reveal fine-grained details of human mobility. Such research requires that participants accept such devices enough to use them in their daily lives. There is a need for a theoretically grounded understanding of acceptance of different location-tracking technology options, and its research implications. Guided by an extended Unified Theory of Acceptance and Use of Technology (UTAUT), we conducted a 28-day field study comparing 21 chronically ill people's acceptance of two leading, consumer-focused location-tracking technologies deployed for research purposes: (1) a location-enabled smartphone, and (2) a GPS watch/activity tracker. Participants used both, and completed two surveys and qualitative interviews. Findings revealed that all participants exerted effort to facilitate data capture, such as by incorporating devices into daily routines and developing workarounds to keep devices functioning. Nevertheless, the smartphone was perceived to be significantly easier and posed fewer usability challenges for participants than the watch. Older participants found the watch significantly more difficult to use. For both devices, effort expectancy was significantly associated with future willingness to participate in research although prosocial motivations overcame some concerns. Social influence, performance expectancy and use behavior were significantly associated with intentions to use the devices in participants' personal lives. Data gathered via the smartphone was significantly more complete than data gathered via the watch, primarily due to usability challenges. To make longer-term participation in location tracking research a reality, and to achieve complete data capture, researchers must minimize the effort involved in participation; this requires usable devices. For long-term location-tracking studies using similar devices, findings indicate that only smartphone-based tracking is up to the challenge.

Montreal Accord on Patient-Reported Outcomes (PROs) use series - Paper 2: terminology proposed to measure what matters in health

BACKGROUND

We outline different health outcomes and describe how multiple perspectives can be harnessed to optimize accuracy of key data collected about patients with chronic conditions. The terms health status, health-related quality of life, and quality of life are often used interchangeably without recognizing that they have different meanings, as are the terms used to refer to the different components of function. Although the advantages and limitations of existing frameworks and perspectives are largely understood, greater precision is needed when using health outcome terminology and identifying optimal sources of information.

OBJECTIVE

A refinement of the current taxonomy is proposed to distinguish between patient-reported outcomes and self-report outcomes and expand the concept of clinically reported outcomes to include those assessed by performance and emerging technologies.

DISCUSSION

Health outcomes yield important information that can be used to improve the lives of many people. Now is the time to "talk the talk" as part of larger coordinated efforts within and across countries to identify and measure what matters most in health.

Are Accelerometers and GPS Devices Valid, Reliable and Feasible Tools for Measurement of Community Ambulation After Stroke?

Purpose: To determine validity, reliability and feasibility of accelerometers (ActivPAL™, Sensewear Pro2Armband) and portable global positioning systems (GPS) (Garmin Forerunner 405CX) for community ambulation measurement after stroke.

Methods: Fifteen community-dwelling stroke survivors attended two sessions; completing a 6-minute walk, treadmill walking, and 200-m outdoor circuit. Feasibility was determined by wearing devices over four days. Measures collected included step count, time spent walking, distance, energy expenditure and location. Intra-class correlation coefficients (ICC), Bland–Altman plots and absolute percentage of error (APE) were used to determine validity and reliability.

Results: ActivPAL™had excellent validity and reliability for most measures (ICC: 0.821–0.999, APE: 0%–11.1%), except for good-excellent findings at speeds < 0.42 m/s (ICC: 0.659–0.894, APE: 1.6%–11.1%). Sensewear had missing values for 23% of recordings and high error for all measures. GPS demonstrated excellent validity and reliability for time spent walking and step count (ICC: 0.805–0.999, APE: 0.9%–10%), and 100% accuracy for location. However, it was not valid or reliable for distance (ICC = −0.139, APE = 23.8%). All devices appeared feasible for community ambulation measurement with assistance for setup and data analysis.

Conclusions: ActivPAL™and Garmin GPS appear valid, reliable and feasible tools for community ambulation measurement after stroke, except for distance. Sensewear demonstrated poor validity and reliability when worn on the paretic arm.

Feasibility and Acceptability of Global Positioning System (GPS) Methods to Study the Spatial Contexts of Substance Use and Sexual Risk Behaviors among Young Men Who Have Sex with Men in New York City: A P18 Cohort Sub-Study

Background

No global positioning system (GPS) technology study has been conducted among a sample of young gay, bisexual, and other men who have sex with men (YMSM). As such, the purpose of this study was to evaluate the feasibility and acceptability of using GPS methods to understand the spatial context of substance use and sexual risk behaviors among a sample of YMSM in New York City, a high-risk population.

Methods

Data came from a subsample of the ongoing P18 Cohort Study (n = 75). GPS feasibility and acceptability among participants was measured with: 1) a pre- and post-survey and 2) adherence to the GPS protocol which included returning the GPS device, self-report of charging and carrying the GPS device as well as objective data analyzed from the GPS devices. Analyses of the feasibility surveys were treated as repeated measures as each participant had a pre- and post-feasibility survey. When comparing the similar GPS survey items asked at baseline and at follow-up, we present percentages and associated p-values based on chi-square statistics.

Results

Participants reported high ratings of pre-GPS acceptability, ease of use, and low levels of wear-related concerns in addition to few concerns related to safety, loss, or appearance, which were maintained after baseline GPS feasibility data collection. The GPS return rate was 100%. Most participants charged and carried the GPS device on most days. Of the total of 75 participants with GPS data, 75 (100%) have at least one hour of GPS data for one day and 63 (84%) had at least one hour on all 7 days.

Conclusions

Results from this pilot study demonstrate that utilizing GPS methods among YMSM is feasible and acceptable. GPS devices may be used in spatial epidemiology research in YMSM populations to understand place-based determinants of health such as substance use and sexual risk behaviors.

Technologies That Assess the Location of Physical Activity and Sedentary Behavior: A Systematic Review

Background

The location in which physical activity and sedentary behavior are performed can provide valuable behavioral information, both in isolation and synergistically with other areas of physical activity and sedentary behavior research. Global positioning systems (GPS) have been used in physical activity research to identify outdoor location; however, while GPS can receive signals in certain indoor environments, it is not able to provide room- or subroom-level location. On average, adults spend a high proportion of their time indoors. A measure of indoor location would, therefore, provide valuable behavioral information.

Objective

This systematic review sought to identify and critique technology which has been or could be used to assess the location of physical activity and sedentary behavior.

Methods

To identify published research papers, four electronic databases were searched using key terms built around behavior, technology, and location. To be eligible for inclusion, papers were required to be published in English and describe a wearable or portable technology or device capable of measuring location. Searches were performed up to February 4, 2015. This was supplemented by backward and forward reference searching. In an attempt to include novel devices which may not yet have made their way into the published research, searches were also performed using three Internet search engines. Specialized software was used to download search results and thus mitigate the potential pitfalls of changing search algorithms.

Results

A total of 188 research papers met the inclusion criteria. Global positioning systems were the most widely used location technology in the published research, followed by wearable cameras, and radio-frequency identification. Internet search engines identified 81 global positioning systems, 35 real-time locating systems, and 21 wearable cameras. Real-time locating systems determine the indoor location of a wearable tag via the known location of reference nodes. Although the type of reference node and location determination method varies between manufacturers, Wi-Fi appears to be the most popular method.

Conclusions

The addition of location information to existing measures of physical activity and sedentary behavior will provide important behavioral information.

Demographic, physical activity, and route characteristics related to school transportation: an exploratory study

PURPOSE

To investigate the demographic, physical activity, and route characteristics related to children's school trips.

DESIGN

Cross-sectional exploratory study.

SETTING

Eighteen elementary schools in the Austin Independent School District, Austin, Texas.

SUBJECTS

One hundred twelve children aged 7 to 12 years.

MEASURES

Accelerometer and Global Positioning System (GPS) devices provided objective measures of school travel and physical activity. Parental survey (response rate = 34.2%) provided children's demographic and household information.

ANALYSIS

Generalized linear regression analyses were used for unadjusted and adjusted models estimating correlates of total moderate to vigorous physical activity (MVPA) and school trip-related MVPA's contribution rate.

RESULTS

Walking trips were .44 miles (.71 km) on average. Those who walked to school had about 11 more minutes of daily MVPA than nonwalkers (35.03 vs. 24.06) and higher proportions of their daily MVPA obtained from school commute trips (21.78% vs. 2.41%). School trips accounted for 11.2% of total daily MVPA on average, 12.9% for those who met the physical activity recommendation, and 35.2% for the sedentary children who belonged to the lowest MVPA quartile.

CONCLUSION

Active school commuting appears to be a valuable means to promote physical activity, and its contributions toward total physical activity vary across different demographic groups and community settings. Objective and detailed data from GPS and accelerometer units can facilitate the assessment of route/trip characteristics and physical activity implications of school transportation.

The self-reported Physical Activity Scale for the Elderly (PASE) is a valid and clinically applicable measure in lung cancer

PURPOSE

Physical activity (PA) is an important outcome in lung cancer; however, there is lack of consensus as to the best method for assessment. The Physical Activity Scale for the Elderly (PASE) is a commonly used questionnaire. The aim of this study was to assess the clinimetric properties of the PASE in lung cancer, specifically validity, predictive utility and clinical applicability (floor/ceiling effects, responsiveness and minimal important difference [MID]).

METHODS

This is a prospective observational study. Sixty-nine participants (62 % male, median [IQR] age 68 years [61-74]) with lung cancer completed the PASE at diagnosis at 2, 4 and 6 months. Additional measures included movement sensors (steps/day), physical function, health-related quality of life, functional capacity (6-min walk distance [6MWD]), and muscle strength. Spearman's rank correlation coefficient was used to assess relationships. Linear regression analyses were conducted to determine predictive utility of the PASE for health status at 6 months. Responsiveness (effect size) and MID (distribution-based estimation) were calculated.

RESULTS

The PASE was administered on 176 occasions. The PASE had moderate convergent validity with movement sensors (rho = 0.50 [95 %CI = 0.29-0.66], p < 0.005) and discriminated between participants classed as sedentary/insufficient/sufficient according to PA guidelines (p < 0.005). The PASE had fair-moderate construct validity with measures of physical function (rho = 0.57 [95 %CI = 0.46-0.66], p < 0.005), 6MWD (rho = 0.40 [95 %CI = 0.23-0.55], p < 0.005), and strength (rho = 0.37 [95 %CI = 0.18-0.54], p < 0.005). The PASE (at diagnosis) exhibited predictive utility for physical function (Bcoef = 0.35, p = 0.008) and quality of life (Bcoef = 0.35, p = 0.023) at 6 months. A small floor effect was observed (3 %); however, there was no ceiling effect. There was a small responsiveness to change (effect size = 0.23) and MID between 17 and 25 points.

CONCLUSIONS

The PASE is a valid measure of self-reported PA in lung cancer.

Sensor-based detection of gait speed in older adults: an integrative review

Gait speed is an indicator of functional change in older adults. One approach to support older adults' preferences to "age in place" is through the use of technology to monitor gait speed in everyday life. The authors of the current article conducted an integrative review of the scientific literature to summarize the current state of gait speed detection technologies. A total of 539 articles were returned from searches, and 16 were included in the review. Technologies were categorized as body-worn or home-installed sensors. Evidence was classified as emerging (n = 8) or promising (n = 8). Gait speed technology research has advanced beyond the use of customized research hardware prototypes, and consumer technologies are now commonly used in gait speed research. However, a need exists for software systems that integrate data for analysis and presentation to stakeholders with different information needs. Future research should focus on approaches to integrate disparate data sources and visualizations of gait speed data.

Implications of smart wear technology for family caregiving relationships: focus group perceptions

Technological advances in monitoring vulnerable care-recipients are on the rise. Recent and future development of Smart Wear technology (devices integrated into clothing that monitor care-recipients) might assist family caregivers with tasks related to caring for young children, relatives with disabilities, and frail spouses or parents. However, the development and use of this technology in family caregiving contexts is in its infancy. Focus group interviews of family caregivers were conducted to explore perspectives regarding the potential integration of Smart Wear technology into their family caregiving. Responses were analyzed qualitatively for themes related to perceptions of how Smart Wear could impact relationships between caregivers and care-recipients. Three major themes emerged: quality and quantity of interaction, boundary issues, and implications for anxiety. Implications and recommendations are discussed regarding maximizing the potential benefits of Smart Wear technology in ways that promote and protect healthy relationships among caregivers and care-recipients.

Physical activity measured using global positioning system tracking in non-small cell lung cancer: an observational study

INTRODUCTION

Increasingly physical activity (PA) is being recognized as an important outcome in non-small cell lung cancer (NSCLC). We investigated PA using novel global positioning system (GPS) tracking individuals with NSCLC and a group of similar-aged healthy individuals.

METHODS

A prospective cross-sectional multicenter study. Fifty individuals with NSCLC from 3 Australian tertiary hospitals and 35 similar-aged healthy individuals without cancer were included. Individuals with NSCLC were assessed pretreatment. Primary measures were triaxial accelerometery (steps/day) and GPS tracking (outdoor PA behavior). Secondary measures were questionnaires assessing depression, motivation to exercise, and environmental barriers to PA. Between-group comparisons were analyzed using analysis of covariance.

RESULTS

Individuals with NSCLC engaged in significantly less PA than similar-aged healthy individuals (mean difference 2363 steps/day, P = .007) and had higher levels of depression (P = .027) and lower motivation to exercise (P = .001). Daily outdoor walking time (P = .874) and distance travelled away from home (P = .883) were not different between groups. Individuals with NSCLC spent less time outdoors in their local neighborhood area (P < .001). A greater number of steps per day was seen in patients who were less depressed (r = .39) or had better access to nonresidential destinations such as shopping centers (r = .25).

CONCLUSION

Global positioning system tracking appears to be a feasible methodology for adult cancer patients and holds promise for use in future studies investigating PA and or lifestyle behaviors.

Indoor and Outdoor Mobility following Total Knee Arthroplasty

PURPOSE

To determine the relationship between indoor and outdoor mobility capacity in older adults with unilateral total knee arthroplasty (TKA) and, secondarily, to determine walking intensity in the same population and to compare all outcomes to a control group of older adults without knee pathology.

METHOD

In this cross-sectional study, participants (TKA=16, mean 22.9 (SD 9.7) mo post TKA; control=22) completed indoor walking tests and a 580 m outdoor course that included varying terrain (e.g., curbs, grass, sidewalk) and frequent changes in direction. Walking capacity was assessed using stopwatches, global positioning system watches and accelerometers.

RESULTS

Outdoor walking time was moderately correlated (p<0.05) with the timed up-and-go (TUG) test (r=0.65), stair-climb test (SCT) (r=0.67 ascending, r=0.79 descending), 10 m walk test (10 mWT) (r=0.73), and 6-minute walk test (6 MWT) (r=-0.75). Based on activity counts, walking intensity levels for participants in both groups were moderate (outdoor walk and 6 MWT). There was no significant difference in walking capacity between groups (TUG, SCT, 10 mWT, 6 MWT, outdoor walk).

CONCLUSIONS

Common clinical walking tests are moderately correlated with outdoor mobility. Mobility capacity of individuals post TKA was similar to controls in both indoor and outdoor environments, and participants in both groups achieved moderate physical activity levels with walking.

Innovation through Wearable Sensors to Collect Real-Life Data among Pediatric Patients with Cardiometabolic Risk Factors

Background. While increasing evidence links environments to health behavior, clinicians lack information about patients' physical activity levels and lifestyle environments. We present mobile health tools to collect and use spatio-behavioural lifestyle data for personalized physical activity plans in clinical settings. Methods. The Dyn@mo lifestyle intervention was developed at the Sainte-Justine University Hospital Center to promote physical activity and reduce sedentary time among children with cardiometabolic risk factors. Mobility, physical activity, and heart rate were measured in free-living environments during seven days. Algorithms processed data to generate spatio-behavioural indicators that fed a web-based interactive mapping application for personalised counseling. Proof of concept and tools are presented using data collected among the first 37 participants recruited in 2011. Results. Valid accelerometer data was available for 5.6 (SD = 1.62) days in average, heart rate data for 6.5 days, and GPS data was available for 6.1 (2.1) days. Spatio-behavioural indicators were shared between patients, parents, and practitioners to support counseling. Conclusion. Use of wearable sensors along with data treatment algorithms and visualisation tools allow to better measure and describe real-life environments, mobility, physical activity, and physiological responses. Increased specificity in lifestyle interventions opens new avenues for remote patient monitoring and intervention.

Low physical activity levels and functional decline in individuals with lung cancer

OBJECTIVES

Physical activity has been infrequently measured objectively in non-small cell lung cancer (NSCLC). We aimed to investigate levels of physical activity, functional and patient reported outcomes at diagnosis and over six months in participants with recently diagnosed NSCLC and compare results with both physical activity guidelines and outcomes of similar-aged healthy individuals.

METHODS

This prospective observational study assessed 50 individuals from three Australian tertiary hospitals with stage I-IIIB NSCLC at diagnosis, then 10 weeks and six months later. Thirty five healthy individuals without cancer were assessed once. Outcome measures included tri-axial accelerometery (number of steps per day), six minute walk distance (6MWD), muscle strength and questionnaires including health-related quality of life (HRQoL).

RESULTS

Individuals with NSCLC were engaged in significantly less physical activity than similar-aged healthy individuals, with 60% not meeting physical activity guidelines. At diagnosis they had worse quadriceps strength, nutritional status and HRQoL. Over six months, participants with NSCLC experienced decline in self-reported physical activity, 6MWD and muscle strength, and worsening symptoms.

CONCLUSION

At diagnosis individuals with NSCLC engage in less physical activity, are weaker and more depressed than healthy individuals and their self-reported physical activity declines over six months. Future studies are required to investigate the efficacy of interventions to increase physical activity.

Aerobic Activity Preferences among Older Canadians: A Time Use Perspective

Numerous health benefits are associated with a physically active population. This study sought to discover the aerobic activity preferences among older Canadians. Four cycles of nationally representative time use data were fused with energy expenditure information to determine both participation rates and time spent in the 10 most frequently reported aerobic activities. Aerobic activity preferences are dominated by domestic chores (15% to 30% participation for about two hours per day), recreational walking (15% to 30% participation for about one hour per day), and active transportation (generally less than 5% participation for less than 30 minutes per day). Although there have been several changes in older Canadians’ revealed preferences for aerobic activities over the past three decades, the prevalence of domestic chores points towards the importance of policies that support older Canadians remaining in their homes, whereas the popularity of walking suggests that “walkability” needs to be considered in neighbourhood design.

Aging, the central nervous system, and mobility

BACKGROUND

Mobility limitations are common and hazardous in community-dwelling older adults but are largely understudied, particularly regarding the role of the central nervous system (CNS). This has limited development of clearly defined pathophysiology, clinical terminology, and effective treatments. Understanding how changes in the CNS contribute to mobility limitations has the potential to inform future intervention studies.

METHODS

A conference series was launched at the 2012 conference of the Gerontological Society of America in collaboration with the National Institute on Aging and the University of Pittsburgh. The overarching goal of the conference series is to facilitate the translation of research results into interventions that improve mobility for older adults.

RESULTS

Evidence from basic, clinical, and epidemiological studies supports the CNS as an important contributor to mobility limitations in older adults without overt neurologic disease. Three main goals for future work that emerged were as follows: (a) develop models of mobility limitations in older adults that differentiate aging from disease-related processes and that fully integrate CNS with musculoskeletal contributors; (b) quantify the contribution of the CNS to mobility loss in older adults in the absence of overt neurologic diseases; (c) promote cross-disciplinary collaboration to generate new ideas and address current methodological issues and barriers, including real-world mobility measures and life-course approaches.

CONCLUSIONS

In addition to greater cross-disciplinary research, there is a need for new approaches to training clinicians and investigators, which integrate concepts and methodologies from individual disciplines, focus on emerging methodologies, and prepare investigators to assess complex, multisystem associations.

A pilot study using global positioning systems (GPS) devices and surveys to ascertain older adults' travel patterns

Some studies indicate that older adults lead active lives and travel to many destinations including those not in their immediate residential neighborhoods. We used global positioning system (GPS) devices to track the travel patterns of 40 older adults (mean age: 69) in San Francisco and Los Angeles. Study participants wore the GPS devices for 7 days in fall 2010 and winter 2011. We collected survey responses concurrently about travel patterns. GPS data showed a mean of four trips/day, and a mean trip distance of 7.6 km. Survey data indicated that older adults commonly made trips for four activities (e.g., volunteering, work, visiting friends) at least once each week. Older adults regularly travel outside their residential neighborhoods. GPS can document the mode of travel, the path of travel, and the destinations. Surveys can document the purpose of the travel and the impressions or experiences in the specific locations.

The relationship between outdoor activity and health in older adults using GPS

Physical activity (PA) provides health benefits in older adults. Research suggests that exposure to nature and time spent outdoors may also have effects on health. Older adults are the least active segment of our population, and are likely to spend less time outdoors than other age groups. The relationship between time spent in PA, outdoor time, and various health outcomes was assessed for 117 older adults living in retirement communities. Participants wore an accelerometer and GPS device for 7 days. They also completed assessments of physical, cognitive, and emotional functioning. Analyses of variance were employed with a main and interaction effect tested for ±30 min PA and outdoor time. Significant differences were found for those who spent >30 min in PA or outdoors for depressive symptoms, fear of falling, and self-reported functioning. Time to complete a 400 m walk was significantly different by PA time only. QoL and cognitive functioning scores were not significantly different. The interactions were also not significant. This study is one of the first to demonstrate the feasibility of using accelerometer and GPS data concurrently to assess PA location in older adults. Future analyses will shed light on potential causal relationships and could inform guidelines for outdoor activity.

Physical Activity across Frailty Phenotypes in Females with Parkinson's Disease

Females with Parkinson's disease (PD) are vulnerable to frailty. PD eventually leads to decreased physical activity, an indicator of frailty. We speculate PD results in frailty through reduced physical activity. Objective. Determine the contribution of physical activity on frailty in PD (n = 15, 65 ± 9 years) and non-PD (n = 15, 73 ± 14 years) females. Methods. Frailty phenotype (nonfrail/prefrail/frail) was categorized and 8 hours of physical activity was measured using accelerometer, global positioning system, and self-report. Two-way ANCOVA (age as covariate) was used to compare physical activity between disease and frailty phenotypes. Spearman correlation assessed relationships, and linear regression determined associations with frailty. Results. Nonfrail recorded more physical activity (intensity, counts, self-report) compared with frail. Self-reported physical activity was greater in PD than non-PD. In non-PD, step counts, light physical activity time, sedentary time, and self-reported physical activity were related to frailty (R = 0.91). In PD, only carbidopa-levodopa dose was related to frailty (r = 0.61). Conclusion. Physical activity influences frailty in females without PD. In PD females, disease management may be a better indicator of frailty than physical activity. Further investigation into how PD associated factors contribute to frailty is warranted.

Outdoor physical activity and self rated health in older adults living in two regions of the U.S

BACKGROUND

Older adults spend little time outdoors and many are physically inactive. The relationship between outdoor physical activity and self rated health has not been studied in older adults. This paper aimed to assess the relation of location of physical activity to self rated health and physical activity minutes. This was an observational study of ambulatory adults 66 years and older conducted in 2005-2008. Participants (N = 754) completed survey measures of physical activity location and self rated health, and wore an accelerometer to objectively assess physical activity. A mixed model linear regression procedure adjusted for neighborhood clustering effects. Differences in self rated health and physical activity minutes were compared across three physical activity settings (indoor only, outdoor only, both indoor and outdoor).

RESULTS

Minutes of moderate to vigorous physical activity were significantly greater in those who were physically active at least once a week outdoors compared with those who were physically active indoors only. Self rated health was significantly related to being physically active but did not vary by location of activity.

CONCLUSIONS

Older adults who were physically active outdoors accumulated significantly more physical activity, but self-rated health was not significantly greater than those being physically active indoors.

Using global positioning systems in health research: a practical approach to data collection and processing

The use of GPS devices in health research is increasingly popular. There are currently no best-practice guidelines for collecting, processing, and analyzing GPS data. The standardization of data collection and processing procedures will improve data quality, allow more-meaningful comparisons across studies and populations, and advance this field more rapidly. This paper aims to take researchers, who are considering using GPS devices in their research, through device-selection criteria, device settings, participant data collection, data cleaning, data processing, and integration of data into GIS. Recommendations are outlined for each stage of data collection and analysis and indicates challenges that should be considered. This paper highlights the benefits of collecting GPS data over traditional self-report or estimated exposure measures. Information presented here will allow researchers to make an informed decision about incorporating this readily available technology into their studies. This work reflects the state of the art in 2011.

Use of global positioning systems to study physical activity and the environment: a systematic review

CONTEXT

The GPS represents an innovative way to objectively assess the spatial locations of physical activity behavior. The aim of this systematic review was to determine the capability of GPS to collect high-quality data on the location of activities in research on the relationship between physical activity and the environment.

EVIDENCE ACQUISITION

Published and unpublished articles identified from seven electronic databases, reference lists, bibliographies, and websites up to March 2010 were systematically searched for, appraised, and analyzed in summer 2010. Included studies used GPS to measure the spatial locations of physical activity and some form of environmental analysis related to the GPS data. The capability of GPS was expressed in terms of data quality, which in turn was defined as the proportion of GPS data lost in each study.

EVIDENCE SYNTHESIS

24 studies met the inclusion criteria. Data loss was positively correlated with the measurement period for which participants were asked to wear the GPS device (r=0.81, p<0.001). Major reasons for data loss included signal drop-outs, loss of device battery power, and poor adherence of participants to measurement protocols. Data loss did not differ significantly between children and adults or by study sample size, year of publication, or GPS device manufacturer.

CONCLUSIONS

GPS is a promising tool for improving understanding of the spatial context of physical activity. The current findings suggest that the choice of an appropriate device and efforts to maximize participant adherence are key to improving data quality, especially over longer study periods.

The urban built environment and mobility in older adults: a comprehensive review

Mobility restrictions in older adults are common and increase the likelihood of negative health outcomes and premature mortality. The effect of built environment on mobility in older populations, among whom environmental effects may be strongest, is the focus of a growing body of the literature. We reviewed recent research (1990-2010) that examined associations of objective measures of the built environment with mobility and disability in adults aged 60 years or older. Seventeen empirical articles were identified. The existing literature suggests that mobility is associated with higher street connectivity leading to shorter pedestrian distances, street and traffic conditions such as safety measures, and proximity to destinations such as retail establishments, parks, and green spaces. Existing research is limited by differences in exposure and outcome assessments and use of cross-sectional study designs. This research could lead to policy interventions that allow older adults to live more healthy and active lives in their communities.