Dataset Information

Validation and User Evaluation of a Sensor-Based Method for Detecting Mobility-Related Activities in Older Adults.

ABSTRACT: Regular physical activity is essential for older adults to stay healthy and independent. However, daily physical activity is generally low among older adults and mainly consists of activities such as standing and shuffling around indoors. Accurate measurement of this low-energy expenditure daily physical activity is crucial for stimulation of activity. The objective of this study was to assess the validity of a necklace-worn sensor-based method for detecting time-on-legs and daily life mobility related postures in older adults. In addition user opinion about the practical use of the sensor was evaluated. Twenty frail and non-frail older adults performed a standardized and free movement protocol in their own home. Results of the sensor-based method were compared to video observation. Sensitivity, specificity and overall agreement of sensor outcomes compared to video observation were calculated. Mobility was assessed based on time-on-legs. Further assessment included the categories standing, sitting, walking and lying. Time-on-legs based sensitivity, specificity and percentage agreement were good to excellent and comparable to laboratory outcomes in other studies. Category-based sensitivity, specificity and overall agreement were moderate to excellent. The necklace-worn sensor is considered an acceptable valid instrument for assessing home-based physical activity based upon time-on-legs in frail and non-frail older adults, but category-based assessment of gait and postures could be further developed.

SUBMITTER: Geraedts HA

PROVIDER: S-EPMC4567066 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Validation and User Evaluation of a Sensor-Based Method for Detecting Mobility-Related Activities in Older Adults.

Geraedts Hilde A E HA Zijlstra Wiebren W Van Keeken Helco G HG Zhang Wei W Stevens Martin M

PloS one 20150911 9

Regular physical activity is essential for older adults to stay healthy and independent. However, daily physical activity is generally low among older adults and mainly consists of activities such as standing and shuffling around indoors. Accurate measurement of this low-energy expenditure daily physical activity is crucial for stimulation of activity. The objective of this study was to assess the validity of a necklace-worn sensor-based method for detecting time-on-legs and daily life mobility ...[more]

PMID: 26361009

Similar Datasets

Project description:Wearable activity trackers are newly emerging technologies with the anticipation for successfully supporting aging-in-place. Consumer-grade wearable activity trackers are increasingly ubiquitous in the market, but the attitudes toward, as well as acceptance and voluntary use of, these trackers in older population are poorly understood.The aim of this study was to assess acceptance and usage of wearable activity trackers in Canadian community-dwelling older adults, using the potentially influential factors as identified in literature and technology acceptance model.A mixed methods design was used. A total of 20 older adults aged 55 years and older were recruited from Southwestern Ontario. Participants used 2 different wearable activity trackers (Xiaomi Mi Band and Microsoft Band) separately for each segment in the crossover design study for 21 days (ie, 42 days total). A questionnaire was developed to capture acceptance and experience at the end of each segment, representing 2 different devices. Semistructured interviews were conducted with 4 participants, and a content analysis was performed.Participants ranged in age from 55 years to 84 years (mean age: 64 years). The Mi Band gained higher levels of acceptance (16/20, 80%) compared with the Microsoft Band (10/20, 50%). The equipment characteristics dimension scored significantly higher for the Mi Band (P<.05). The amount a participant was willing to pay for the device was highly associated with technology acceptance (P<.05). Multivariate logistic regression with 3 covariates resulted in an area under the curve of 0.79. Content analysis resulted in the formation of the following main themes: (1) smartphones as facilitators of wearable activity trackers; (2) privacy is less of a concern for wearable activity trackers, (3) value proposition: self-awareness and motivation; (4) subjective norm, social support, and sense of independence; and (5) equipment characteristics matter: display, battery, comfort, and aesthetics.Older adults were mostly accepting of wearable activity trackers, and they had a clear understanding of its value for their lives. Wearable activity trackers were uniquely considered more personal than other types of technologies, thereby the equipment characteristics including comfort, aesthetics, and price had a significant impact on the acceptance. Results indicated that privacy was less of concern for older adults, but it may have stemmed from a lack of understanding of the privacy risks and implications. These findings add to emerging research that investigates acceptance and factors that may influence acceptance of wearable activity trackers among older adults.

Project description:BackgroundUnderstanding the factors that influence hospital mobility, especially in the context of a heightened focus on falls prevention, is needed to improve care.ObjectiveThis qualitative study uses a socioecological framework to explore factors that influence hospital mobility in older adults.DesignQualitative research PARTICIPANTS: Semi-structured interviews and focus groups were conducted with medically-ill hospitalized older adults (n = 19) and providers (hospitalists, nurses, and physical and occupational therapists (n = 48) at two hospitals associated with an academic health system.ApproachInterview and focus group guides included questions on perceived need for mobility, communication about mobility, hospital mobility culture, and awareness of patients' walking activity. Data were analyzed thematically and mapped onto the constructs of the socioecological model.Key resultsA consistent theme among patients and providers was that "mobility is medicine." Categories of factors reported to influence hospital walking activity included intrapersonal factors (patients' health status, fear of falls), interpersonal factors (patient-provider communication about mobility), organizational factors (clarity about provider roles and responsibilities, knowledge of safe patient handling, reliance on physical therapy for mobility), and environmental factors (falls as a never event, patient geographical locations on hospital units). Several of these factors were identified as potentially modifiable targets for intervention. Patients and providers offered recommendations for improving awareness of patient's ambulatory activity, assigning roles and responsibility for mobility, and enhancing education and communication between patients and providers across disciplines.ConclusionPatients and providers identified salient factors for future early mobility initiatives targeting hospitalized older adults. Consideration of these factors across all stages of intervention development and implementation will enhance impact and sustainability.

Dataset Information

Validation and User Evaluation of a Sensor-Based Method for Detecting Mobility-Related Activities in Older Adults.

Publications

Validation and User Evaluation of a Sensor-Based Method for Detecting Mobility-Related Activities in Older Adults.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure