scholarly journals Feasibility and Performance Test of a Real-Time Sensor-Informed Context-Sensitive Ecological Momentary Assessment to Capture Physical Activity

2016 ◽  
Vol 18 (6) ◽  
pp. e106 ◽  
Author(s):  
Genevieve Fridlund Dunton ◽  
Eldin Dzubur ◽  
Stephen Intille
Keyword(s):  
Physical Activity ◽  
Real Time ◽  
Ecological Momentary Assessment ◽  
Performance Test ◽  
Context Sensitive ◽  
And Performance ◽  
Ecological Momentary ◽  
Momentary Assessment

scholarly journals mHealth technology for ecological momentary assessment in physical activity research: a systematic review

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e8848 ◽  
Author(s):  
Rafael Zapata-Lamana ◽  
Jaume F. Lalanza ◽  
Josep-Maria Losilla ◽  
Eva Parrado ◽  
Lluis Capdevila
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Real Time ◽  
Ecological Momentary Assessment ◽  
Psychological State ◽  
Future Research ◽  
Lifestyle Behaviors ◽  
Mhealth Technology ◽  
Ecological Momentary ◽  
Momentary Assessment

Objective To systematically review the publications on ecological momentary assessment (EMA) relating to physical activity (PA) behavior in order to classify the methodologies, and to identify the main mHealth technology-based tools and procedures that have been applied during the first 10 years since the emergence of smartphones. As a result of this review, we want to ask if there is enough evidence to propose the use of the term “mEMA” (mobile-based EMA). Design A systematic review according to PRISMA Statement (PROSPERO registration: CRD42018088136). Method Four databases (PsycINFO, CINALH, Medline and Web of Science Core Collection) were searched electronically from 2008 to February 2018. Results A total of 76 studies from 297 potential articles on the use of EMA and PA were included in this review. It was found that 71% of studies specifically used “EMA” for assessing PA behaviors but the rest used other terminology that also adjusted to the inclusion criteria. Just over half (51.3%) of studies (39) used mHealth technology, mainly smartphones, for collecting EMA data. The majority (79.5%) of these studies (31 out of 39) were published during the last 4 years. On the other hand, 58.8% of studies that only used paper-and-pencil were published during the first 3 years of the 10-year period analyzed. An accelerometer was the main built-in sensor used for collecting PA behavior by means of mHealth (69%). Most of the studies were carried out on young-adult samples, with only three studies in older adults. Women were included in 60% of studies, and healthy people in 82%. The studies lasted between 1 and 7 days in 57.9%, and between three and seven assessments per day were carried out in 37%. The most popular topics evaluated together with PA were psychological state and social and environmental context. Conclusions We have classified the EMA methodologies used for assessing PA behaviors. A total of 71% of studies used the term “EMA” and 51.3% used mHealth technology. Accelerometers have been the main built-in sensor used for collecting PA. The change of trend in the use of tools for EMA in PA coincides with the technological advances of the last decade due to the emergence of smartphones and mHealth technology. There is enough evidence to use the term mEMA when mHealth technology is being used for monitoring real-time lifestyle behaviors in natural situations. We define mEMA as the use of mobile computing and communication technologies for the EMA of health and lifestyle behaviors. It is clear that the use of mHealth is increasing, but there is still a lot to be gained from taking advantage of all the capabilities of this technology in order to apply EMA to PA behavior. Thus, mEMA methodology can help in the monitoring of healthy lifestyles under both subjective and objective perspectives. The tendency for future research should be the automatic recognition of the PA of the user without interrupting their behavior. The ecological information could be completed with voice messages, image captures or brief text selections on the touch screen made in real time, all managed through smartphone apps. This methodology could be extended when EMA combined with mHealth are used to evaluate other lifestyle behaviors.

scholarly journals Ecological momentary assessment to explore fatigue, mood and physical activity levels in people receiving peritoneal dialysis: A study protocol

2021 ◽  
pp. 089686082199224
Author(s):  
Brett Tarca ◽  
Shilpanjali Jesudason ◽  
Richard Le Leu ◽  
Michelle Ovenden ◽  
Monique Borlace ◽  
...  
Keyword(s):  
Physical Activity ◽  
Peritoneal Dialysis ◽  
Real Time ◽  
Ecological Momentary Assessment ◽  
Well Being ◽  
Activity Levels ◽  
The Real ◽  
Physical Activity Levels ◽  
Ecological Momentary ◽  
Momentary Assessment

Introduction: Fatigue is a frequent and debilitating symptom for people with end-stage kidney disease (ESKD) receiving dialysis. Ecological momentary assessment (EMA) allows real-time data capture of day-to-day and diurnal variations. EMA has been used to study haemodialysis-related fatigue but not in people receiving peritoneal dialysis who are unique in their physical, environmental and logistical characteristics. The aim of this study is to explore the real-time associations between fatigue and mood (EMA mobile application) and objective physical activity levels (accelerometry) in people with EKSD receiving peritoneal dialysis. Method: A 7-day intensive longitudinal study will be conducted. People receiving peritoneal dialysis within South Australia will be invited to participate. Five times throughout the day, participants will be prompted to answer 18 questions relating to fatigue (Visual Analogue Scale to Evaluate Fatigue Severity) and a single question for mood (Visual Analogue Mood Scale). Participants will continuously wear a GENEActiv accelerometer to capture physical activity levels during the 7-day period. At the completion of the data collection, participants will answer questions to evaluate the feasibility and acceptability of using EMA. Discussion: This study will be the first to explore the real-time relationships between fatigue, mood and physical activity in people with ESKD receiving peritoneal dialysis. Understanding the fluctuations people experience and the relationships between mood and physical activity and fatigue will inform clinical management and well-being intervention development.

scholarly journals An ecological momentary assessment study of physical activity behaviors among mothers of toddlers from low-income households

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Katherine L. Campbell ◽  
Yan Wang ◽  
Ann Pulling Kuhn ◽  
Maureen M. Black ◽  
Erin R. Hager
Keyword(s):  
Physical Activity ◽  
Low Income ◽  
Ecological Momentary Assessment ◽  
Normal Weight ◽  
Activity Count ◽  
Group Relations ◽  
Environment Factors ◽  
Group Relation ◽  
Ecological Momentary ◽  
Momentary Assessment

Abstract Background Mothers of young children from low-income communities may be vulnerable to barriers associated with low physical activity. The purpose of this study was to examine associations between home environment factors and maternal physical activity among mothers of toddlers. Methods Mothers of toddlers (n = 200) recruited from low-income communities simultaneously wore an ankle-placed accelerometer and were given a personal digital assistant for ecological momentary assessment. Mothers received randomly prompted questions about their current environment, activity, and social setting several times a day over eight consecutive days. Data were analyzed using linear mixed-effects regression models with random intercepts; within-group and between-group relations between physical activity and environment factors were disaggregated. Results Within-group relations included higher physical activity counts for specific mothers with television off versus on (95% CI = 130.45, 199.17), children absent versus present (95% CI = 82.00, 3.43), engaging with a child versus not (95% CI = 52.66, 127.63), and outside versus inside location (95% CI = 277.74, 392.67). Between-group relations included higher physical activity on average when other adults were absent versus present (95% CI = − 282.63, − 46.95). Recruitment site (urban vs. semi-urban) significantly moderated the within-group relation between being outside versus inside and activity count (β = − 243.12, 95% CI = − 358.74, − 127.47), and showed stronger relations among urban mothers (β = 440.33, 95% CI = 358.41, 522.25), than semi-urban (β = 190.37, 95% CI = 109.64, 271.11). Maternal body weight significantly moderated the within-group relation between being located outside versus inside the home and activity count (β for interaction = − 188.67, 95% CI = − 308.95, − 68.39), with a stronger relation among mothers with normal weight (β = 451.62, 95% CI = 345.51, 557.73), than mothers with overweight/obesity (β = 271.95, 95% CI = 204.26, 339.64). Conclusions This study highlights home environmental factors, including screen time, the presence of others (adults and children), and location (i.e., outside versus inside) that may relate to maternal physical activity behaviors. Understanding factors associated with physical activity could reduce physical activity disparities. Trial registry ClinicalTrials. NCT02615158, April 2006

scholarly journals Exploring Feelings of Pleasure and Purpose Associated With Older People’s Activities Using Ecological Momentary Analysis: An Observational Study

2020 ◽  
pp. 1-8
Author(s):  
Karen E. Hancock ◽  
Paul Downward ◽  
Lauren B. Sherar
Keyword(s):  
Physical Activity ◽  
Ecological Momentary Assessment ◽  
Physical Activity Guidelines ◽  
Outdoor Activities ◽  
Highly Active ◽  
Actigraph Accelerometer ◽  
Confounding Variables ◽  
Ecological Momentary ◽  
Momentary Assessment ◽  
Sedentary Activities

Momentary feelings of pleasure and purpose can be sources of intrinsic motivation, but momentary purpose is rarely studied. Activities, contexts, and feelings of retired/semiretired adults (n = 67, aged 50–78 years) were captured using ecological momentary assessment. Participants provided 2,065 valid responses to six daily smartphone surveys for 7 days. Physical activity was measured by waist-worn ActiGraph accelerometer. Pleasure (measured by affective happiness) and purpose outcomes were regressed on activities, context, and potential confounding variables. Interactions between activities and contexts were explored. Participants were highly active: 98.5% met physical activity guidelines. Sedentary activities were negatively associated with sense of purpose, especially when indoors. However, social sedentary activities were positively associated with feelings of happiness. Active, social outdoor activities were positively associated with both outcomes. Less sedentary participants experienced greater happiness and purpose during all their activities. Context matters: active, social, and outdoor activities seem to be more appealing to older adults.

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