1
|
Schinkel-Bielefeld N, Burke L, Holube I, Iankilevitch M, Jenstad LM, Lelic D, Naylor G, Singh G, Smeds K, von Gablenz P, Wolters F, Wu YH. Implementing Ecological Momentary Assessment in Audiological Research: Opportunities and Challenges. Am J Audiol 2024; 33:648-673. [PMID: 38950171 DOI: 10.1044/2024_aja-23-00249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/03/2024] Open
Abstract
Ecological momentary assessment (EMA) is a way to evaluate experiences in everyday life. It is a powerful research tool but can be complex and challenging for beginners. Application of EMA in audiological research brings with it opportunities and challenges that differ from other research disciplines. This tutorial discusses important considerations when conducting EMA studies in hearing care. While more research is needed to develop specific guidelines for the various potential applications of EMA in hearing research, we hope this article can alert hearing researchers new to EMA to pitfalls when using EMA and help strengthen their study design. The current article elaborates study design details, such as choice of participants, representativeness of the study period for participants' lives, and balancing participant burden with data requirements. Mobile devices and sensors to collect objective data on the acoustic situation are reviewed alongside different possibilities for EMA setups ranging from online questionnaires paired with a timer to proprietary apps that also have access to parameters of a hearing device. In addition to considerations for survey design, a list of questionnaire items from previous studies is provided. For each item, an example and a list of references are given. EMA typically provides data sets that are rich but also challenging in that they are noisy, and there is often unequal amount of data between participants. After recommendations on how to check the data for compliance, reactivity, and careless responses, methods for statistical analysis on the individual level and on the group level are discussed including special methods for direct comparison of hearing device programs.
Collapse
Affiliation(s)
| | - Louise Burke
- School of Medicine, University of Nottingham, United Kingdom
| | - Inga Holube
- Institute of Hearing Technology and Audiology, Jade University of Applied Sciences, Oldenburg, Germany
- Cluster of Excellence Hearing4All, Oldenburg, Germany
| | - Maria Iankilevitch
- Department of Psychology, University of Victoria, British Columbia, Canada
| | - Lorienne M Jenstad
- School of Audiology and Speech Sciences, The University of British Columbia, Vancouver, Canada
| | | | - Graham Naylor
- School of Medicine, University of Nottingham, United Kingdom
- National Institute for Health and Care Research, Nottingham Biomedical Research Centre, United Kingdom
| | - Gurjit Singh
- Sonova Canada, Kitchener, Ontario, Canada
- Department of Speech-Language Pathology, University of Toronto, Ontario, Canada
- Department of Psychology, Toronto Metropolitan University, Ontario, Canada
| | | | - Petra von Gablenz
- Institute of Hearing Technology and Audiology, Jade University of Applied Sciences, Oldenburg, Germany
- Cluster of Excellence Hearing4All, Oldenburg, Germany
| | | | - Yu-Hsiang Wu
- Department of Communication Sciences and Disorders, The University of Iowa, Iowa City
| |
Collapse
|
2
|
Monnaatsie M, Mielke GI, Biddle SJH, Kolbe-Alexander TL. Ecological momentary assessment of physical activity and sedentary behaviour in shift workers and non-shift workers: Validation study. J Sports Sci 2024:1-10. [PMID: 38899730 DOI: 10.1080/02640414.2024.2369443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 06/11/2024] [Indexed: 06/21/2024]
Abstract
This study examined the criterion validity of an ecological momentary assessment (EMA)-reported physical activity and sedentary time compared with accelerometry in shift workers and non-shift workers. Australian workers (n = 102) received prompts through a mobile EMA app and wore the Actigraph accelerometer on the right hip for 7-10 days. Participants received five EMA prompts per day at 3-hour intervals on their mobile phones. EMA prompts sent to shift workers (SW-T) were tailored according to their work schedule. Non-shift workers (NSW-S) received prompts at standardised times. To assess criterion validity, the association of EMA-reported activities and the Actigraph accelerometer activity counts and number of steps were used. Participants were 36 ± 11 years and 58% were female. On occasions where participants reported physical activity, acceleration counts per minute (CPM) and steps were significantly higher (β = 1184 CPM, CI 95%: 1034, 1334; β = 20.9 steps, CI 95%: 18.2, 23.6) than each of the other EMA activities. Acceleration counts and steps were lower when sitting was reported than when no sitting was reported by EMA. Our study showed that EMA-reported physical activity and sedentary time was significantly associated with accelerometer-derived data. Therefore, EMA can be considered to assess shift workers' movement-related behaviours with accelerometers to provide rich contextual data.
Collapse
Affiliation(s)
- Malebogo Monnaatsie
- School of Health and Medical Sciences, Faculty of Health, Engineering and Sciences, University of Southern Queensland, Ipswich, Queensland, Australia
- Centre for Health Research, University of Southern Queensland, Springfield, Queensland, Australia
- Department of Sport Science, Faculty of Education, University of Botswana, Gaborone, Botswana
| | - Gregore I Mielke
- School of Public Health, University of Queensland, Brisbane, Australia
| | - Stuart J H Biddle
- Centre for Health Research, University of Southern Queensland, Springfield, Queensland, Australia
- Faculty of Sport & Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Tracy L Kolbe-Alexander
- School of Health and Medical Sciences, Faculty of Health, Engineering and Sciences, University of Southern Queensland, Ipswich, Queensland, Australia
- Centre for Health Research, University of Southern Queensland, Springfield, Queensland, Australia
- Division of Exercise Science and Sports Medicine, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| |
Collapse
|
3
|
Kraft R, Reichert M, Pryss R. Mobile Crowdsensing in Ecological Momentary Assessment mHealth Studies: A Systematic Review and Analysis. SENSORS (BASEL, SWITZERLAND) 2024; 24:472. [PMID: 38257567 PMCID: PMC10820952 DOI: 10.3390/s24020472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 12/13/2023] [Accepted: 01/09/2024] [Indexed: 01/24/2024]
Abstract
As mobile devices have become a central part of our daily lives, they are also becoming increasingly important in research. In the medical context, for example, smartphones are used to collect ecologically valid and longitudinal data using Ecological Momentary Assessment (EMA), which is mostly implemented through questionnaires delivered via smart notifications. This type of data collection is intended to capture a patient's condition on a moment-to-moment and longer-term basis. To collect more objective and contextual data and to understand patients even better, researchers can not only use patients' input via EMA, but also use sensors as part of the Mobile Crowdsensing (MCS) approach. In this paper, we examine how researchers have embraced the topic of MCS in the context of EMA through a systematic literature review. This PRISMA-guided review is based on the databases PubMed, Web of Science, and EBSCOhost. It is shown through the results that both EMA research in general and the use of sensors in EMA research are steadily increasing. In addition, most of the studies reviewed used mobile apps to deliver EMA to participants, used a fixed-time prompting strategy, and used signal-contingent or interval-contingent self-assessment as sampling/assessment strategies. The most commonly used sensors in EMA studies are the accelerometer and GPS. In most studies, these sensors are used for simple data collection, but sensor data are also commonly used to verify study participant responses and, less commonly, to trigger EMA prompts. Security and privacy aspects are addressed in only a subset of mHealth EMA publications. Moreover, we found that EMA adherence was negatively correlated with the total number of prompts and was higher in studies using a microinteraction-based EMA (μEMA) approach as well as in studies utilizing sensors. Overall, we envision that the potential of the technological capabilities of smartphones and sensors could be better exploited in future, more automated approaches.
Collapse
Affiliation(s)
- Robin Kraft
- Institute of Databases and Information Systems, Ulm University, 89081 Ulm, Germany
- Department of Clinical Psychology and Psychotherapy, Ulm University, 89081 Ulm, Germany
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, 97070 Würzburg, Germany
| | - Manfred Reichert
- Institute of Databases and Information Systems, Ulm University, 89081 Ulm, Germany
| | - Rüdiger Pryss
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, 97070 Würzburg, Germany
| |
Collapse
|
4
|
Willingham TB, Stowell J, Collier G, Backus D. Leveraging Emerging Technologies to Expand Accessibility and Improve Precision in Rehabilitation and Exercise for People with Disabilities. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:79. [PMID: 38248542 PMCID: PMC10815484 DOI: 10.3390/ijerph21010079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 12/20/2023] [Accepted: 12/28/2023] [Indexed: 01/23/2024]
Abstract
Physical rehabilitation and exercise training have emerged as promising solutions for improving health, restoring function, and preserving quality of life in populations that face disparate health challenges related to disability. Despite the immense potential for rehabilitation and exercise to help people with disabilities live longer, healthier, and more independent lives, people with disabilities can experience physical, psychosocial, environmental, and economic barriers that limit their ability to participate in rehabilitation, exercise, and other physical activities. Together, these barriers contribute to health inequities in people with disabilities, by disproportionately limiting their ability to participate in health-promoting physical activities, relative to people without disabilities. Therefore, there is great need for research and innovation focusing on the development of strategies to expand accessibility and promote participation in rehabilitation and exercise programs for people with disabilities. Here, we discuss how cutting-edge technologies related to telecommunications, wearables, virtual and augmented reality, artificial intelligence, and cloud computing are providing new opportunities to improve accessibility in rehabilitation and exercise for people with disabilities. In addition, we highlight new frontiers in digital health technology and emerging lines of scientific research that will shape the future of precision care strategies for people with disabilities.
Collapse
Affiliation(s)
- T. Bradley Willingham
- Shepherd Center, Virginia C. Crawford Research Institute, Atlanta, GA 30309, USA (D.B.)
- Department of Physical Therapy, Georgia State University, Atlanta, GA 30302, USA
| | - Julie Stowell
- Shepherd Center, Virginia C. Crawford Research Institute, Atlanta, GA 30309, USA (D.B.)
- Department of Physical Therapy, Georgia State University, Atlanta, GA 30302, USA
| | - George Collier
- Shepherd Center, Virginia C. Crawford Research Institute, Atlanta, GA 30309, USA (D.B.)
| | - Deborah Backus
- Shepherd Center, Virginia C. Crawford Research Institute, Atlanta, GA 30309, USA (D.B.)
| |
Collapse
|
5
|
Algheryafi RA, Bevans KB, Hiremath SV, Lai JS, Tucker CA. Convergent Validity of the Patient Reported Outcome Measurement Information System-Pediatric Physical Activity Instrument (PROMIS ®-PA) with Wearable Devices in Adolescents. CHILDREN (BASEL, SWITZERLAND) 2023; 10:940. [PMID: 37371172 DOI: 10.3390/children10060940] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 05/10/2023] [Accepted: 05/19/2023] [Indexed: 06/29/2023]
Abstract
The study was conducted mainly to examine the convergent validity of the Patient Reported Outcome Measurement Information System-Pediatric Physical Activity instrument (PROMIS®®®-PA) with step counts from wearable devices and another validated self-reported outcome measure. As a secondary aim, we explored the effect of different recall time frames (7-day, end-of-day [EoD], and ecological momentary assessment [EMA] time frames during the day) in terms of their feasibility and associations with each other and with step counts. This was a prospective cohort study that examined the associations between measures of PA in school-age children and adolescents (n = 84, aged 10-20). The participants wore Fitbit devices for 7 consecutive days, and then completed the 7-day-recall PROMIS-PA short form and Youth Activity Profile (YAP). Additional analyses were completed in a sub-sample (n = 25, aged 11-18 years) using the PROMIS-PA for the EMA at five intervals during the day (shorter form) and at the EoD. In the total sample, the PROMIS-PA results showed positive moderate correlations with the YAP and average daily steps (r = 0.533, p < 0.001 and r = 0.346, p = 0.002, respectively). In the sub-sample, the 7-day PROMIS-PA was highly correlated with the averaged EMA or EoD ratings for the week, and moderately correlated with the daily step counts. These findings support the validity of the PROMIS-PA as a measure of self-reported physical activity. Adolescents demonstrated higher compliance rates and preference for the 7-day recall and EoD assessments compared to more frequent EMA reporting.
Collapse
Affiliation(s)
- Reem A Algheryafi
- Department of Physical Therapy, Mohammed Al-Mana College for Medical Sciences, Dammam 34222, Saudi Arabia
| | - Katherine B Bevans
- Patient Reported Outcomes, Janssen Global Services LLC, Horsham, PA 19044, USA
| | - Shivayogi V Hiremath
- Department of Health & Rehabilitation Sciences, Temple University, Philadelphia, PA 19122, USA
| | - Jin-Shei Lai
- Department of Medical Social Sciences, Northwestern University, Chicago, IL 60611, USA
| | - Carole A Tucker
- Nutrition, Metabolic & Rehabilitation Sciences, School of Health Professions, University of Texas Medical Branch, Galveston, TX 77555, USA
| |
Collapse
|
6
|
Conroy DE, Wu J, Lee AM, Brunke-Reese D, Lagoa CM. Dose-response relations between the frequency of two types of momentary feedback prompts and daily physical activity. Health Psychol 2023; 42:151-160. [PMID: 36862471 PMCID: PMC10015600 DOI: 10.1037/hea0001271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/03/2023]
Abstract
OBJECTIVE Self-monitoring and behavioral feedback are widely used to help people monitor progress toward daily physical activity goals. Little information exists about the optimal dosing parameters for these techniques or if they are interchangeable in digital physical activity interventions. This study used a within-person experimental design to evaluate associations between the frequency of two different prompt types (one for each technique) and daily physical activity. METHOD Insufficiently active young adults were assigned monthly physical activity goals and wore smartwatches with activity trackers for 3 months. They received zero to six randomly selected and timed watch-based prompts each day, with individual prompts either providing behavioral feedback or prompting the participant to self-monitor. RESULTS Physical activity increased significantly over the 3-month period (step counts d = 1.03; moderate-to-vigorous physical activity duration d = 0.99). Mixed linear models revealed that daily step counts were positively associated with the frequency of daily self-monitoring prompts up to approximately three prompts/day (d = 0.22) after which additional prompts provided minimal or reduced benefit. Daily step counts were not associated with the frequency of behavioral feedback prompts. Daily moderate-to-vigorous physical activity was not associated with the frequency of either prompt. CONCLUSIONS Self-monitoring and behavioral feedback are not interchangeable behavior change techniques in digital physical activity interventions, and only self-monitoring prompts show signs of a dose-response association with physical activity volume. Activity trackers, such as smartwatches and mobile apps, should provide an option to replace behavioral feedback prompts with self-monitoring prompts to promote physical activity among insufficiently active young adults. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
Collapse
Affiliation(s)
- David E Conroy
- Department of Kinesiology, The Pennsylvania State University
| | - Jingchuan Wu
- Department of Kinesiology, The Pennsylvania State University
| | - Alexandra M Lee
- Department of Kinesiology, The Pennsylvania State University
| | | | - Constantino M Lagoa
- School of Electrical Engineering & Computer Science, The Pennsylvania State University
| |
Collapse
|
7
|
Monnaatsie M, Biddle SJH, Kolbe-Alexander T. The Feasibility of a Text-Messaging Intervention Promoting Physical Activity in Shift Workers: A Process Evaluation. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:3260. [PMID: 36833956 PMCID: PMC9962854 DOI: 10.3390/ijerph20043260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 02/09/2023] [Accepted: 02/10/2023] [Indexed: 06/18/2023]
Abstract
Workplace health promotion programs (WHPPs) can improve shift workers' physical activity. The purpose of this paper is to present the process evaluation of a text messaging health promotion intervention for mining shift workers during a 24-day shift cycle. Data collected from intervention participants with a logbook (n = 25) throughout the intervention, exit interviews (n = 7) and online surveys (n = 17) examined the WHPP using the RE-AIM (Reach, Efficacy, Adoption, Implementation and Maintenance) framework. The program reached 66% of workers across three departments, with 15% of participants dropping out. The program showed the potential to be adopted if the recruitment strategies are improved to reach more employees, especially when involving work managers for recruitment. A few changes were made to the program, and participant adherence was high. Facilitators to adopt and implement the health promotion program included the use of text messaging to improve physical activity, feedback on behaviour, and providing incentives. Work-related fatigue was reported as a barrier to implementing the program. Participants reported that they would recommend the program to other workers and use the Mi fitness band to continue monitoring and improving their health behaviour. This study showed that shift workers were optimistic about health promotion. Allowing for long-term evaluation and involving the company management to determine scale-up should be considered for future programs.
Collapse
Affiliation(s)
- Malebogo Monnaatsie
- School of Health and Medical Sciences and Centre for Health Research, University of Southern Queensland, Ipswich, QLD 4305, Australia
- Department of Sport Science, Faculty of Education, University of Botswana, Gaborone 0022, Botswana
- Centre for Health Research, Physically Active Lifestyles, University of Southern Queensland, Springfield, QLD 4300, Australia
| | - Stuart J. H. Biddle
- Centre for Health Research, Physically Active Lifestyles, University of Southern Queensland, Springfield, QLD 4300, Australia
- Faculty of Sport & Health Sciences, University of Jyväskylä, 40014 Jyväskylä, Finland
| | - Tracy Kolbe-Alexander
- School of Health and Medical Sciences and Centre for Health Research, University of Southern Queensland, Ipswich, QLD 4305, Australia
- Centre for Health Research, Physically Active Lifestyles, University of Southern Queensland, Springfield, QLD 4300, Australia
- Research Centre for Health through Physical Activity, Lifestyle and Sport (HPALS), Division of Physiological Sciences, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town 7700, South Africa
| |
Collapse
|
8
|
Perski O, Keller J, Kale D, Asare BYA, Schneider V, Powell D, Naughton F, ten Hoor G, Verboon P, Kwasnicka D. Understanding health behaviours in context: A systematic review and meta-analysis of ecological momentary assessment studies of five key health behaviours. Health Psychol Rev 2022; 16:576-601. [PMID: 35975950 PMCID: PMC9704370 DOI: 10.1080/17437199.2022.2112258] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Ecological Momentary Assessment (EMA) involves repeated, real-time sampling of health behaviours in context. We present the state-of-knowledge in EMA research focused on five key health behaviours (physical activity and sedentary behaviour, dietary behaviour, alcohol consumption, tobacco smoking, sexual health), summarising theoretical (e.g., psychological and contextual predictors) and methodological aspects (e.g., study characteristics, EMA adherence). We searched Ovid MEDLINE, Embase, PsycINFO and Web of Science until February 2021. We included studies focused on any of the aforementioned health behaviours in adult, non-clinical populations that assessed ≥1 psychological/contextual predictor and reported a predictor-behaviour association. A narrative synthesis and random-effects meta-analyses of EMA adherence were conducted. We included 633 studies. The median study duration was 14 days. The most frequently assessed predictors were 'negative feeling states' (21%) and 'motivation and goals' (16.5%). The pooled percentage of EMA adherence was high at 81.4% (95% CI = 80.0%, 82.8%, k = 348) and did not differ by target behaviour but was somewhat higher in student (vs. general population) samples, when EMAs were delivered via mobile phones/smartphones (vs. handheld devices), and when event contingent (vs. fixed) sampling was used. This review showcases how the EMA method has been applied to improve understanding and prediction of health behaviours in context.
Collapse
Affiliation(s)
- Olga Perski
- Department of Behavioural Science and Health, University College London, London, United Kingdom, Olga Perski
| | - Jan Keller
- Department of Education and Psychology, Freie Universität Berlin, Berlin, Germany
| | - Dimitra Kale
- Department of Behavioural Science and Health, University College London, London, United Kingdom
| | - Bernard Yeboah-Asiamah Asare
- Curtin School of Population Health, Curtin University, Perth, Australia,Health Psychology, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, United Kingdom
| | - Verena Schneider
- Department of Behavioural Science and Health, University College London, London, United Kingdom
| | - Daniel Powell
- Health Psychology, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, United Kingdom,Rowett Institute, University of Aberdeen, Aberdeen, United Kingdom
| | - Felix Naughton
- Behavioural and Implementation Science Research Group, School of Health Sciences, University of East Anglia, Norwich, United Kingdom
| | - Gill ten Hoor
- Department of Work and Social Psychology, Faculty of Psychology and Neurosciences, Maastricht University, Maastricht, The Netherlands
| | - Peter Verboon
- Faculty of Psychology, Open University, Heerlen, The Netherlands
| | - Dominika Kwasnicka
- Faculty of Psychology, SWPS University of Social Sciences and Humanities, Wroclaw, Poland,NHMRC CRE in Digital Technology to Transform Chronic Disease Outcomes, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
| |
Collapse
|
9
|
Stinson L, Liu Y, Dallery J. Ecological Momentary Assessment: A Systematic Review of Validity Research. Perspect Behav Sci 2022; 45:469-493. [PMID: 35719870 PMCID: PMC9163273 DOI: 10.1007/s40614-022-00339-w] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/25/2022] [Indexed: 01/23/2023] Open
Abstract
Ecological momentary assessment (EMA) is a self-report method that involves intensive longitudinal assessment of behavior and environmental conditions during everyday activities. EMA has been used extensively in health and clinical psychology to investigate a variety of health behaviors, including substance use, eating, medication adherence, sleep, and physical activity. However, it has not been widely implemented in behavior analytic research. This is likely an example of the empirically based skepticism with which behavioral scientists view self-report measures. We reviewed studies comparing electronic, mobile EMA (mEMA) to more objective measures of health behavior to explore the validity of mEMA as a measurement tool, and to identify procedures and factors that may promote the accuracy of mEMA. We identified 32 studies that compared mEMA to more objective measures of health behavior or environmental events (e.g., biochemical measures or automated devices such as accelerometers). Results showed that the correspondence rates varied considerably across individuals, behavior, and studies (agreement rates ranged from 1.8%-100%), and no unifying variables could be identified across the studies that found high correspondence. The findings suggest that mEMA can be an accurate measurement tool, but further research should be conducted to identify procedures and variables that promote accurate responding.
Collapse
Affiliation(s)
- Lesleigh Stinson
- Department of Psychology, University of Florida, 945 Center Drive, Gainesville, FL 32601 USA
| | - Yunchao Liu
- Department of Psychology, University of Florida, 945 Center Drive, Gainesville, FL 32601 USA
| | - Jesse Dallery
- Department of Psychology, University of Florida, 945 Center Drive, Gainesville, FL 32601 USA
| |
Collapse
|
10
|
Ponnada A, Wang S, Chu D, Do B, Dunton G, Intille S. Intensive Longitudinal Data Collection Using Microinteraction Ecological Momentary Assessment: Pilot and Preliminary Results. JMIR Form Res 2022; 6:e32772. [PMID: 35138253 PMCID: PMC8867293 DOI: 10.2196/32772] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 11/24/2021] [Accepted: 12/17/2021] [Indexed: 01/24/2023] Open
Abstract
Background Ecological momentary assessment (EMA) uses mobile technology to enable in situ self-report data collection on behaviors and states. In a typical EMA study, participants are prompted several times a day to answer sets of multiple-choice questions. Although the repeated nature of EMA reduces recall bias, it may induce participation burden. There is a need to explore complementary approaches to collecting in situ self-report data that are less burdensome yet provide comprehensive information on an individual’s behaviors and states. A new approach, microinteraction EMA (μEMA), restricts EMA items to single, cognitively simple questions answered on a smartwatch with single-tap assessments using a quick, glanceable microinteraction. However, the viability of using μEMA to capture behaviors and states in a large-scale longitudinal study has not yet been demonstrated. Objective This paper describes the μEMA protocol currently used in the Temporal Influences on Movement & Exercise (TIME) Study conducted with young adults, the interface of the μEMA app used to gather self-report responses on a smartwatch, qualitative feedback from participants after a pilot study of the μEMA app, changes made to the main TIME Study μEMA protocol and app based on the pilot feedback, and preliminary μEMA results from a subset of active participants in the TIME Study. Methods The TIME Study involves data collection on behaviors and states from 246 individuals; measurements include passive sensing from a smartwatch and smartphone and intensive smartphone-based hourly EMA, with 4-day EMA bursts every 2 weeks. Every day, participants also answer a nightly EMA survey. On non–EMA burst days, participants answer μEMA questions on the smartwatch, assessing momentary states such as physical activity, sedentary behavior, and affect. At the end of the study, participants describe their experience with EMA and μEMA in a semistructured interview. A pilot study was used to test and refine the μEMA protocol before the main study. Results Changes made to the μEMA study protocol based on pilot feedback included adjusting the single-question selection method and smartwatch vibrotactile prompting. We also added sensor-triggered questions for physical activity and sedentary behavior. As of June 2021, a total of 81 participants had completed at least 6 months of data collection in the main study. For 662,397 μEMA questions delivered, the compliance rate was 67.6% (SD 24.4%) and the completion rate was 79% (SD 22.2%). Conclusions The TIME Study provides opportunities to explore a novel approach for collecting temporally dense intensive longitudinal self-report data in a sustainable manner. Data suggest that μEMA may be valuable for understanding behaviors and states at the individual level, thus possibly supporting future longitudinal interventions that require within-day, temporally dense self-report data as people go about their lives.
Collapse
Affiliation(s)
- Aditya Ponnada
- Khoury College of Computer Sciences, Northeastern University, Boston, MA, United States.,Bouve College of Health Sciences, Northeastern University, Boston, MA, United States
| | - Shirlene Wang
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Daniel Chu
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Bridgette Do
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Genevieve Dunton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Stephen Intille
- Khoury College of Computer Sciences, Northeastern University, Boston, MA, United States.,Bouve College of Health Sciences, Northeastern University, Boston, MA, United States
| |
Collapse
|
11
|
Taylor JC, Allman-Farinelli M, Chen J, Gauglitz JM, Hamideh D, Jankowska MM, Johnson AJ, Rangan A, Spruijt-Metz D, Yang JA, Hekler E. Perspective: A Framework for Addressing Dynamic Food Consumption Processes. Adv Nutr 2022; 13:992-1008. [PMID: 34999744 PMCID: PMC9340970 DOI: 10.1093/advances/nmab156] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 11/12/2021] [Indexed: 11/22/2022] Open
Abstract
The study of food consumption, diet, and related concepts is motivated by diverse goals, including understanding why food consumption impacts our health, and why we eat the foods we do. These varied motivations can make it challenging to define and measure consumption, as it can be specified across nearly infinite dimensions-from micronutrients to carbon footprint to food preparation. This challenge is amplified by the dynamic nature of food consumption processes, with the underlying phenomena of interest often based on the nature of repeated interactions with food occurring over time. This complexity underscores a need to not only improve how we measure food consumption but is also a call to support theoreticians in better specifying what, how, and why food consumption occurs as part of processes, as a prerequisite step to rigorous measurement. The purpose of this Perspective article is to offer a framework, the consumption process framework, as a tool that researchers in a theoretician role can use to support these more robust definitions of consumption processes. In doing so, the framework invites theoreticians to be a bridge between practitioners who wish to measure various aspects of food consumption and methodologists who can develop measurement protocols and technologies that can support measurement when consumption processes are clearly defined. In the paper we justify the need for such a framework, introduce the consumption process framework, illustrate the framework via a use case, and discuss existing technologies that enable the use of this framework and, by extension, more rigorous study of consumption. This consumption process framework demonstrates how theoreticians could fundamentally shift how food consumption is defined and measured towards more rigorous study of what, how, and why food is eaten as part of dynamic processes and a deeper understanding of linkages between behavior, food, and health.
Collapse
Affiliation(s)
| | | | - Juliana Chen
- Charles Perkins Centre, University of Sydney, Sydney, Australia
| | - Julia M Gauglitz
- Skaggs School of Pharmacy & Pharmaceutical Sciences, University of California, San Diego, San Diego, CA, USA
| | - Dina Hamideh
- Skaggs School of Pharmacy & Pharmaceutical Sciences, University of California, San Diego, San Diego, CA, USA
| | - Marta M Jankowska
- Department of Population Sciences, Beckman Research Institute of City of Hope, Duarte, CA, USA
| | - Abigail J Johnson
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA
| | - Anna Rangan
- Charles Perkins Centre, University of Sydney, Sydney, Australia
| | - Donna Spruijt-Metz
- Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA
| | - Jiue-An Yang
- Department of Population Sciences, Beckman Research Institute of City of Hope, Duarte, CA, USA
| | - Eric Hekler
- The Design Lab, University of California, San Diego, San Diego, CA, USA,Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, San Diego, CA, USA
| |
Collapse
|
12
|
Shvetz C, Gu F, Drodge J, Torous J, Guimond S. Validation of an ecological momentary assessment to measure processing speed and executive function in schizophrenia. NPJ SCHIZOPHRENIA 2021; 7:64. [PMID: 34934063 PMCID: PMC8692600 DOI: 10.1038/s41537-021-00194-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Accepted: 11/03/2021] [Indexed: 11/08/2022]
Abstract
Cognitive impairments are a core feature of schizophrenia that have negative impacts on functional outcomes. However, it remains challenging to assess these impairments in clinical settings. Smartphone apps provide the opportunity to measure cognitive impairments in an accessible way; however, more research is needed to validate these cognitive assessments in schizophrenia. We assessed the initial accessibility, validity, and reliability of a smartphone-based cognitive test to measure cognition in schizophrenia. A total of 29 individuals with schizophrenia and 34 controls were included in the analyses. Participants completed the standard pen-and-paper Trail Making Tests (TMT) A and B, and smartphone-based versions, Jewels Trail Tests (JTT) A and B, at the single in-lab visit. Participants were asked to complete the JTT remotely once per week for three months. We also investigated how subjective sleep quality and mood may affect cognitive performance longitudinally. In-lab and remote JTT scores moderately and positively correlated with in-lab TMT scores. Moderate test-retest reliability was observed across the in-lab, first remote, and last remote completion times of the JTT. Additionally, individuals with schizophrenia had significantly lower performance compared to controls on both the in-lab JTT and TMT. Self-reported mood had a significant effect on JTT A performance over time but no other significant relationships were found remotely. Our results support the initial accessibility, validity and reliability of using the JTT to measure cognition in schizophrenia. Future research to develop additional smartphone-based cognitive tests as well as with larger samples and in other psychiatric populations are warranted.
Collapse
Affiliation(s)
- Cecelia Shvetz
- The Royal's Institute of Mental Health Research, Ottawa, ON, Canada
| | - Feng Gu
- The Royal's Institute of Mental Health Research, Ottawa, ON, Canada
| | - Jessica Drodge
- The Royal's Institute of Mental Health Research, Ottawa, ON, Canada
- Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, ON, Canada
| | - John Torous
- Department of Psychiatry and Division of Clinical Informatics, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Synthia Guimond
- The Royal's Institute of Mental Health Research, Ottawa, ON, Canada.
- Department of Cellular and Molecular Medicine, University of Ottawa, Ottawa, ON, Canada.
- Department of Psychiatry, University of Ottawa, Ottawa, ON, Canada.
- Département de Psychoéducation et Psychologie, Université du Québec en Outaouais, Gatineau, QC, Canada.
| |
Collapse
|