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Perzl J, Riedl EM, Thomas J. Measuring Situational Cognitive Performance in the Wild: A Psychometric Evaluation of Three Brief Smartphone-Based Test Procedures. Assessment 2024; 31:1270-1291. [PMID: 38097924 PMCID: PMC11292980 DOI: 10.1177/10731911231213845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/02/2024]
Abstract
Mobile devices provide new opportunities to draw conclusions about cognitive performance in everyday situations. To gain insights into cognitive performance patterns in healthy adult populations, we adapted three established cognitive tests for smartphone use: the Digit Symbol Substitution Task (DSST), Sustained Attention to Response Task (SART), and Psychomotor Vigilance Task (PVT). To increase their feasibility for ambulatory assessment, we identified the minimum measurement durations that provide reliable and valid state measures of cognitive performance. Over 2 weeks, 46 participants performed each test once per day at random times, along with self-reports (e.g., on concentration, mood, and mental demands). The validity and reliability of change are promising for the 30-second PVT and 90-second DSST and SART. The DSST and SART provide fruitful outcomes for ambulatory field studies linked to mood, stress, and mental demands. We provide digital versions of the adapted DSST and SART online for free.
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Affiliation(s)
- Johanna Perzl
- Catholic University of Eichstätt-Ingolstadt, Germany
- University of Würzburg, Germany
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2
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Vints WAJ, Levin O, van Griensven M, Vlaeyen JWS, Masiulis N, Verbunt J, van Laake-Geelen CCM. Neuromuscular electrical stimulation to combat cognitive aging in people with spinal cord injury: protocol for a single case experimental design study. BMC Neurol 2024; 24:197. [PMID: 38862912 PMCID: PMC11165793 DOI: 10.1186/s12883-024-03699-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 05/31/2024] [Indexed: 06/13/2024] Open
Abstract
INTRODUCTION Individuals with spinal cord injury (SCI) can experience accelerated cognitive aging. Myokines (factors released from muscle cells during contractions), such as brain-derived neurotrophic factor (BDNF), are thought to have beneficial effects on cognition. Neuromuscular electrical stimulation (NMES) was shown to elicit a large release of myokines. However, the effects of NMES on cognitive function have not been studied. OBJECTIVE To present the study protocol for a clinical trial evaluating the effects of NMES aimed at improving cognition and BDNF. METHODS A replicated randomized three-phases single-case experimental design (SCED) with sequential multiple baseline time series and a single-armed prospective trial will be conducted with 15 adults with chronic SCI (> 12 months after injury) above L1 neurological level undergoing 30-min quadriceps NMES, 3 days per week for 12 weeks. MAIN STUDY ENDPOINTS Primary endpoint is cognitive performance (assessed by a smartphone test) conducted three times per week during the baseline phase with random duration of 3 to 8 weeks, the intervention phase of 12 weeks, and the follow-up phase of 3 weeks after a no measurement rest period of 12 weeks. Secondary endpoints are changes in BDNF levels and cognitive performance measured before the baseline period, before and after intervention and after a 12 weeks follow-up. CONCLUSION This will be the first study investigating the effects of 12 weeks NMES on both cognition and BDNF levels in individuals with SCI. The SCED results provide information on individual treatment effect courses which may direct future research. TRIAL REGISTRATION ClinicalTrials.gov (NCT05822297, 12/01/2023).
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Affiliation(s)
- Wouter A J Vints
- Department of Health Promotion and Rehabilitation, Lithuanian Sports University, Sporto Str. 6, Kaunas, LT-44221, Lithuania.
- Department of Rehabilitation Medicine Research School CAPHRI, Maastricht University, P.O. Box 616, Maastricht, 6200 MD, The Netherlands.
- Centre of Expertise in Rehabilitation and Audiology, Adelante Zorggroep, P.O. Box 88, Hoensbroek, 6430 AB, The Netherlands.
| | - Oron Levin
- Department of Health Promotion and Rehabilitation, Lithuanian Sports University, Sporto Str. 6, Kaunas, LT-44221, Lithuania
- Movement Control & Neuroplasticity Research Group, Group Biomedical Sciences, KU Leuven, Tervuursevest 101, Heverlee, 3001, Belgium
| | - Martijn van Griensven
- Department of Cell Biology-Inspired Tissue Engineering, MERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University, P.O. Box 616, Maastricht, 6200 MD, The Netherlands
| | - Johan W S Vlaeyen
- Experimental Health Psychology, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands
- Health Psychology Research Group, Faculty of Psychology and Educational Sciences, KU Leuven, Tiensestraat 102, Louvain, 3000, Belgium
| | - Nerijus Masiulis
- Department of Health Promotion and Rehabilitation, Lithuanian Sports University, Sporto Str. 6, Kaunas, LT-44221, Lithuania
- Department of Rehabilitation, Physical and Sports Medicine, Faculty of Medicine, Institute of Health Science, Vilnius University, M. K. Čiurlionio Str. 21, Vilnius, 03101, Lithuania
| | - Jeanine Verbunt
- Department of Rehabilitation Medicine Research School CAPHRI, Maastricht University, P.O. Box 616, Maastricht, 6200 MD, The Netherlands
- Centre of Expertise in Rehabilitation and Audiology, Adelante Zorggroep, P.O. Box 88, Hoensbroek, 6430 AB, The Netherlands
| | - Charlotte C M van Laake-Geelen
- Department of Rehabilitation Medicine Research School CAPHRI, Maastricht University, P.O. Box 616, Maastricht, 6200 MD, The Netherlands
- Centre of Expertise in Rehabilitation and Audiology, Adelante Zorggroep, P.O. Box 88, Hoensbroek, 6430 AB, The Netherlands
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3
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Sutin AR, Luchetti M, Gamaldo AA, Mogle J, Lovett HH, Brown J, Sliwinski MJ, Terracciano A. Purpose in Life and Cognitive Function: Evidence for Momentary Associations in Daily Life. Innov Aging 2024; 8:igae018. [PMID: 38511204 PMCID: PMC10953619 DOI: 10.1093/geroni/igae018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Indexed: 03/22/2024] Open
Abstract
Background and Objectives Purpose in life is associated with healthier cognitive outcomes in older adulthood. This research examines within-person dynamics between momentary purpose and cognitive function to provide proof of concept that increases in purpose are associated with better cognitive performance. Research Design and Methods Participants (N = 303; 54% female; Mage = 51.71, SD = 7.32) completed smartphone-based momentary assessments of purpose and short cognitive tasks 3 times a day for 8 days. Results In moments when participants felt more purpose driven than their average, they had faster processing speed (b = -1.240, SE = 0.194; p < .001), independent of person, temporal, and contextual factors and practice effects. Momentary purpose was unrelated to visual working memory performance (b = -0.001, SE = 0.001; p = .475). In contrast to purpose, momentary hedonic affect (e.g., happiness) was unrelated to momentary cognition. Discussion and Implications Feeling more momentary purpose may support faster processing speed in daily life. Such evidence provides stage 0 support for a purpose-based intervention for healthier cognition, which may be particularly useful in middle adulthood and the transition to older adulthood before the onset of cognitive impairment.
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Affiliation(s)
- Angelina R Sutin
- Department of Behavioral Sciences and Social Medicine, Florida State University College of Medicine, Tallahassee, Florida, USA
| | - Martina Luchetti
- Department of Behavioral Sciences and Social Medicine, Florida State University College of Medicine, Tallahassee, Florida, USA
| | - Alyssa A Gamaldo
- Department of Psychology, Clemson University, Clemson, South Carolina, USA
| | - Jacqueline Mogle
- Department of Psychology, Clemson University, Clemson, South Carolina, USA
| | - Hephzibah H Lovett
- Department of Behavioral Sciences and Social Medicine, Florida State University College of Medicine, Tallahassee, Florida, USA
| | - Justin Brown
- Department of Behavioral Sciences and Social Medicine, Florida State University College of Medicine, Tallahassee, Florida, USA
| | - Martin J Sliwinski
- Human Development and Family Studies, The Pennsylvania State University, State College, Pennsylvania, USA
| | - Antonio Terracciano
- Department of Geriatrics, Florida State University College of Medicine, Tallahassee, Florida, USA
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4
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Bartels SL, van Zelst C, Melo Moura B, Daniëls NE, Simons CJ, Marcelis M, Bos FM, Servaas MN. Feedback based on experience sampling data: Examples of current approaches and considerations for future research. Heliyon 2023; 9:e20084. [PMID: 37809510 PMCID: PMC10559801 DOI: 10.1016/j.heliyon.2023.e20084] [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: 04/26/2023] [Revised: 09/11/2023] [Accepted: 09/11/2023] [Indexed: 10/10/2023] Open
Abstract
Methodologies such as the Experience Sampling Method (ESM) or Ecological Momentary Assessment allow the gathering of fine-graded, dynamic, personal data within a patient's daily life. Currently, it is studied whether feedback based on experience sampling data (ESM-based feedback) can be used as a clinical tool to inform shared decision-making in clinical practice. Although the potential of feedback is recognized, little is known on how to generate, use, and implement it. This article (i) presents n = 15 ongoing ESM projects within the Belgian-Dutch network for ESM research wherein ESM-based feedback is provided to various patient populations, and (ii) summarizes qualitative data on experiences with ESM-based feedback of researchers (n = 8) with extensive expertise with ESM (average of 10 years) involved in these ongoing studies. The following aspects appear to be of relevance when providing ESM-based feedback: training for healthcare professionals and researchers, the use of online interfaces and graphical visualizations to present data, and interacting with patients in a face-to-face setting when discussing the contextual relevance and potential implications. Prospectively, research may build on these aspects and create coherent consensus-based guidelines for the use of ESM-based feedback.
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Affiliation(s)
- Sara Laureen Bartels
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
- Alzheimer Centre Limburg, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
| | - Catherine van Zelst
- Department of Psychosis Research and Innovation, Parnassia Psychiatric Institute, The Hague, the Netherlands
- GGzE Institute for Mental Health Care Eindhoven, Eindhoven, the Netherlands
| | - Bernardo Melo Moura
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
- Institute of Pharmacology and Neurosciences, Faculty of Medicine, University of Lisbon, Lisbon, Portugal
- Universidade Católica Portuguesa, Faculdade de Medicina, Portugal
| | - Naomi E.M. Daniëls
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
- Department of Family Medicine, Care and Public Health Research Institute, Maastricht University, Maastricht, the Netherlands
| | - Claudia J.P. Simons
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
- GGzE Institute for Mental Health Care Eindhoven, Eindhoven, the Netherlands
| | - Machteld Marcelis
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, the Netherlands
- GGzE Institute for Mental Health Care Eindhoven, Eindhoven, the Netherlands
| | - Fionneke M. Bos
- Department of Psychiatry, Interdisciplinary Center for Psychopathology and Emotion Regulation, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Department of Psychiatry, Rob Giel Research Center, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Michelle N. Servaas
- Department of Psychiatry, Interdisciplinary Center for Psychopathology and Emotion Regulation, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
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Palombi T, Galli F, Giancamilli F, D'Amico M, Alivernini F, Gallo L, Neroni P, Predazzi M, De Pietro G, Lucidi F, Giordano A, Chirico A. The role of sense of presence in expressing cognitive abilities in a virtual reality task: an initial validation study. Sci Rep 2023; 13:13396. [PMID: 37591908 PMCID: PMC10435488 DOI: 10.1038/s41598-023-40510-0] [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] [Received: 02/17/2023] [Accepted: 08/11/2023] [Indexed: 08/19/2023] Open
Abstract
There is a raised interest in literature to use Virtual Reality (VR) technology as an assessment tool for cognitive domains. One of the essential advantages of transforming tests in an immersive virtual environment is the possibility of automatically calculating the test's score, a time-consuming process under natural conditions. Although the characteristics of VR can deliver different degrees of immersion in a virtual environment, the sense of presence could jeopardize the evolution of these practices. The sense of presence results from a complex interaction between human, contextual factors, and the VR environment. The present study has two aims: firstly, it contributes to the validation of a virtual version of the naturalistic action test (i.e., virtual reality action test); second, it aims to evaluate the role of sense of presence as a critical booster of the expression of cognitive abilities during virtual reality tasks. The study relies on healthy adults tested in virtual and real conditions in a cross-over research design. The study's results support the validity of the virtual reality action test. Furthermore, two structural equation models are tested to comprehend the role of sense of presence as a moderator in the relationship between cognitive abilities and virtual task performance.
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Affiliation(s)
- Tommaso Palombi
- Department of Psychology of Developmental and Socialization Processes, "Sapienza" University of Rome, Via Dei Marsi, 78, 00185, Rome, Italy
| | - Federica Galli
- Department of Movement, Human and Health Sciences, University of Rome, Foro Italico, Rome, Italy
| | - Francesco Giancamilli
- Department of Psychology of Developmental and Socialization Processes, "Sapienza" University of Rome, Via Dei Marsi, 78, 00185, Rome, Italy
| | - Monica D'Amico
- Department of Clinical Psychology, "Sapienza" University of Rome, Rome, Italy
| | - Fabio Alivernini
- Department of Psychology of Developmental and Socialization Processes, "Sapienza" University of Rome, Via Dei Marsi, 78, 00185, Rome, Italy
| | - Luigi Gallo
- Institute for High-Performance Computing and Networking, National Research Council, Naples, Italy
| | - Pietro Neroni
- Institute for High-Performance Computing and Networking, National Research Council, Naples, Italy
| | | | - Giuseppe De Pietro
- Institute for High-Performance Computing and Networking, National Research Council, Naples, Italy
| | - Fabio Lucidi
- Department of Psychology of Developmental and Socialization Processes, "Sapienza" University of Rome, Via Dei Marsi, 78, 00185, Rome, Italy
| | - Antonio Giordano
- Sbarro Institute for Cancer Research and Molecular Medicine, Center for Biotechnology, College of Science and Technology, Temple University, Philadelphia, PA, USA
- Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Andrea Chirico
- Department of Psychology of Developmental and Socialization Processes, "Sapienza" University of Rome, Via Dei Marsi, 78, 00185, Rome, Italy.
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Hernandez R, Hoogendoorn C, Gonzalez JS, Jin H, Pyatak EA, Spruijt-Metz D, Junghaenel DU, Lee PJ, Schneider S. Reliability and Validity of Noncognitive Ecological Momentary Assessment Survey Response Times as an Indicator of Cognitive Processing Speed in People's Natural Environment: Intensive Longitudinal Study. JMIR Mhealth Uhealth 2023; 11:e45203. [PMID: 37252787 PMCID: PMC10265432 DOI: 10.2196/45203] [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] [Received: 12/20/2022] [Revised: 03/14/2023] [Accepted: 04/27/2023] [Indexed: 06/01/2023] Open
Abstract
BACKGROUND Various populations with chronic conditions are at risk for decreased cognitive performance, making assessment of their cognition important. Formal mobile cognitive assessments measure cognitive performance with greater ecological validity than traditional laboratory-based testing but add to participant task demands. Given that responding to a survey is considered a cognitively demanding task itself, information that is passively collected as a by-product of ecological momentary assessment (EMA) may be a means through which people's cognitive performance in their natural environment can be estimated when formal ambulatory cognitive assessment is not feasible. We specifically examined whether the item response times (RTs) to EMA questions (eg, mood) can serve as approximations of cognitive processing speed. OBJECTIVE This study aims to investigate whether the RTs from noncognitive EMA surveys can serve as approximate indicators of between-person (BP) differences and momentary within-person (WP) variability in cognitive processing speed. METHODS Data from a 2-week EMA study investigating the relationships among glucose, emotion, and functioning in adults with type 1 diabetes were analyzed. Validated mobile cognitive tests assessing processing speed (Symbol Search task) and sustained attention (Go-No Go task) were administered together with noncognitive EMA surveys 5 to 6 times per day via smartphones. Multilevel modeling was used to examine the reliability of EMA RTs, their convergent validity with the Symbol Search task, and their divergent validity with the Go-No Go task. Other tests of the validity of EMA RTs included the examination of their associations with age, depression, fatigue, and the time of day. RESULTS Overall, in BP analyses, evidence was found supporting the reliability and convergent validity of EMA question RTs from even a single repeatedly administered EMA item as a measure of average processing speed. BP correlations between the Symbol Search task and EMA RTs ranged from 0.43 to 0.58 (P<.001). EMA RTs had significant BP associations with age (P<.001), as expected, but not with depression (P=.20) or average fatigue (P=.18). In WP analyses, the RTs to 16 slider items and all 22 EMA items (including the 16 slider items) had acceptable (>0.70) WP reliability. After correcting for unreliability in multilevel models, EMA RTs from most combinations of items showed moderate WP correlations with the Symbol Search task (ranged from 0.29 to 0.58; P<.001) and demonstrated theoretically expected relationships with momentary fatigue and the time of day. The associations between EMA RTs and the Symbol Search task were greater than those between EMA RTs and the Go-No Go task at both the BP and WP levels, providing evidence of divergent validity. CONCLUSIONS Assessing the RTs to EMA items (eg, mood) may be a method of approximating people's average levels of and momentary fluctuations in processing speed without adding tasks beyond the survey questions.
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Affiliation(s)
- Raymond Hernandez
- Center of Economic and Social Research, University of Southern California, Los Angeles, CA, United States
| | - Claire Hoogendoorn
- Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY, United States
- Fleischer Institute for Diabetes and Metabolism, Division of Endocrinology, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Jeffrey S Gonzalez
- Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, NY, United States
- Fleischer Institute for Diabetes and Metabolism, Division of Endocrinology, Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Haomiao Jin
- Center of Economic and Social Research, University of Southern California, Los Angeles, CA, United States
- School of Health Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom
| | - Elizabeth A Pyatak
- Chan Division of Occupational Science and Occupational Therapy, University of Southern California, Los Angeles, CA, United States
| | - Donna Spruijt-Metz
- Center of Economic and Social Research, University of Southern California, Los Angeles, CA, United States
- Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
- Department of Psychology, University of Southern California, Los Angeles, CA, United States
| | - Doerte U Junghaenel
- Center of Economic and Social Research, University of Southern California, Los Angeles, CA, United States
- Department of Psychology, University of Southern California, Los Angeles, CA, United States
| | - Pey-Jiuan Lee
- Center of Economic and Social Research, University of Southern California, Los Angeles, CA, United States
| | - Stefan Schneider
- Center of Economic and Social Research, University of Southern California, Los Angeles, CA, United States
- Department of Psychology, University of Southern California, Los Angeles, CA, United States
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7
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DuBord AY, Paolillo EW, Staffaroni AM. Remote Digital Technologies for the Early Detection and Monitoring of Cognitive Decline in Patients With Type 2 Diabetes: Insights From Studies of Neurodegenerative Diseases. J Diabetes Sci Technol 2023:19322968231171399. [PMID: 37102472 DOI: 10.1177/19322968231171399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/28/2023]
Abstract
Type 2 diabetes (T2D) is a risk factor for cognitive decline. In neurodegenerative disease research, remote digital cognitive assessments and unobtrusive sensors are gaining traction for their potential to improve early detection and monitoring of cognitive impairment. Given the high prevalence of cognitive impairments in T2D, these digital tools are highly relevant. Further research incorporating remote digital biomarkers of cognition, behavior, and motor functioning may enable comprehensive characterizations of patients with T2D and may ultimately improve clinical care and equitable access to research participation. The aim of this commentary article is to review the feasibility, validity, and limitations of using remote digital cognitive tests and unobtrusive detection methods to identify and monitor cognitive decline in neurodegenerative conditions and apply these insights to patients with T2D.
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Affiliation(s)
- Ashley Y DuBord
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Diabetes Technology Society, Burlingame, CA, USA
| | - Emily W Paolillo
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Adam M Staffaroni
- Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
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Schick A, Rauschenberg C, Ader L, Daemen M, Wieland LM, Paetzold I, Postma MR, Schulte-Strathaus JCC, Reininghaus U. Novel digital methods for gathering intensive time series data in mental health research: scoping review of a rapidly evolving field. Psychol Med 2023; 53:55-65. [PMID: 36377538 PMCID: PMC9874995 DOI: 10.1017/s0033291722003336] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 09/13/2022] [Accepted: 10/05/2022] [Indexed: 11/16/2022]
Abstract
Recent technological advances enable the collection of intensive longitudinal data. This scoping review aimed to provide an overview of methods for collecting intensive time series data in mental health research as well as basic principles, current applications, target constructs, and statistical methods for this type of data.In January 2021, the database MEDLINE was searched. Original articles were identified that (1) used active or passive data collection methods to gather intensive longitudinal data in daily life, (2) had a minimum sample size of N ⩾ 100 participants, and (3) included individuals with subclinical or clinical mental health problems.In total, 3799 original articles were identified, of which 174 met inclusion criteria. The most widely used methods were diary techniques (e.g. Experience Sampling Methodology), various types of sensors (e.g. accelerometer), and app usage data. Target constructs included affect, various symptom domains, cognitive processes, sleep, dysfunctional behaviour, physical activity, and social media use. There was strong evidence on feasibility of, and high compliance with, active and passive data collection methods in diverse clinical settings and groups. Study designs, sampling schedules, and measures varied considerably across studies, limiting the generalisability of findings.Gathering intensive longitudinal data has significant potential to advance mental health research. However, more methodological research is required to establish and meet critical quality standards in this rapidly evolving field. Advanced approaches such as digital phenotyping, ecological momentary interventions, and machine-learning methods will be required to efficiently use intensive longitudinal data and deliver personalised digital interventions and services for improving public mental health.
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Affiliation(s)
- Anita Schick
- Department of Public Mental Health, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Heidelberg, Germany
| | - Christian Rauschenberg
- Department of Public Mental Health, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Heidelberg, Germany
| | - Leonie Ader
- Department of Public Mental Health, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Heidelberg, Germany
| | - Maud Daemen
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Lena M. Wieland
- Department of Public Mental Health, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Heidelberg, Germany
| | - Isabell Paetzold
- Department of Public Mental Health, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Heidelberg, Germany
| | - Mary Rose Postma
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Julia C. C. Schulte-Strathaus
- Department of Public Mental Health, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Heidelberg, Germany
| | - Ulrich Reininghaus
- Department of Public Mental Health, Medical Faculty Mannheim, Central Institute of Mental Health, Heidelberg University, Heidelberg, Germany
- Centre for Epidemiology and Public Health, Health Service and Population Research Department, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- ESRC Centre for Society and Mental Health, King's College London, London, UK
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9
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Boemo T, Socastro A, Blanco I, Martin-Garcia O, Pacheco-Romero AM, Rodríguez-Carvajal R, Sanchez-Lopez A. A Novel Experience Sampling Method Tool Integrating Momentary Assessments of Cognitive Biases: Two Compliance, Usability, and Measurement Reactivity Studies. JMIR Form Res 2022; 6:e32537. [PMID: 35343900 PMCID: PMC9002591 DOI: 10.2196/32537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Revised: 12/16/2021] [Accepted: 01/12/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Experience sampling methods (ESMs) are increasingly being used to study ecological emotion dynamics in daily functioning through repeated assessments taken over several days. However, most of these ESM approaches are only based on self-report assessments, and therefore, studies on the ecological trajectories of their underlying mechanisms are scarce (ie, cognitive biases) and require evaluation through experimental tasks. We developed a novel ESM tool that integrates self-report measures of emotion and emotion regulation with a previously validated app-based cognitive task that allows for the assessment of underlying mechanisms during daily functioning. OBJECTIVE The objective of the study is to test this new tool and study its usability and the possible factors related to compliance with it in terms of latency and missing responses. Among the compliance predictors, we considered psychological and time-related variables, as well as usability, measurement reactivity, and participants' satisfaction with the tool. METHODS We conducted 2 extensive ESM studies-study 1 (N=84; a total of 3 assessments per day for 5 days) and study 2 (N=135; a total of 3 assessments per day for 10 days). RESULTS In both studies, participants found the tool highly usable (average usability score >81). By using mixed regression models, we found both common and specific results for the compliance predictors. In both study 1 and study 2, latency was significantly predicted by the day (P<.001 and P=.003, respectively). Participants showed slower responses to the notification as the days of the study progressed. In study 2 but not in study 1, latency was further predicted by individual differences in overload with the use of the app, and missing responses were accounted for by individual differences in stress reactivity to notifications (P=.04). Thus, by using a more extensive design, participants who experienced higher overload during the study were characterized by slower responses to notifications (P=.01), whereas those who experienced higher stress reactivity to the notification system were characterized by higher missing responses. CONCLUSIONS The new tool had high levels of usability. Furthermore, the study of compliance is of enormous importance when implementing novel ESM methods, including app-based cognitive tasks. The main predictors of latency and missing responses found across studies, specifically when using extensive ESM protocols (study 2), are methodology-related variables. Future research that integrates cognitive tasks in ESM designs should take these results into consideration by performing accurate estimations of participants' response rates to facilitate the optimal quality of novel eHealth approaches, as in this study.
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Affiliation(s)
| | | | - Ivan Blanco
- Autonoma University of Madrid, Madrid, Spain
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10
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Crawford JL, English T, Braver TS. Incorporating ecological momentary assessment into multimethod investigations of cognitive aging: Promise and practical considerations. Psychol Aging 2022; 37:84-96. [PMID: 35113616 PMCID: PMC8860503 DOI: 10.1037/pag0000646] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Ecological momentary assessment (EMA) represents a promising approach to study cognitive aging. In contrast to laboratory-based studies, EMA involves the repeated sampling of experiences in daily life contexts, enabling investigators to gain access to dynamic processes (e.g., situational contexts, intraindividual variability) that are likely to strongly contribute to aging and age-related change across the adult life-span. As such, EMA approaches complement the prevailing research methods in the field of cognitive aging (e.g., laboratory-based paradigms, neuroimaging), while also providing the opportunity to replicate and extend findings from the laboratory in more naturalistic contexts. Following an overview of the methodological and conceptual strengths of EMA approaches in cognitive aging research, we discuss best practices for researchers interested in implementing EMA studies. A key goal is to highlight the tremendous potential for combining EMA methods with other laboratory-based approaches, in order to increase the robustness, replicability, and real-world implications of research findings in the field of cognitive aging. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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Affiliation(s)
| | - Tammy English
- Department of Psychological and Brain Sciences, Washington University
| | - Todd S Braver
- Department of Psychological and Brain Sciences, Washington University
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11
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Lücke AJ, Wrzus C, Gerstorf D, Kunzmann U, Katzorreck M, Schmiedek F, Hoppmann C, Schilling OK. Between-person and within-person associations of sleep and working-memory in the everyday lives of old and very old adults: initial level, learning, and variability. Sleep 2021; 45:6433636. [PMID: 34922403 DOI: 10.1093/sleep/zsab279] [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: 07/21/2021] [Revised: 11/16/2021] [Indexed: 11/14/2022] Open
Abstract
STUDY OBJECTIVES Sleep duration affects various aspects of cognitive performance, such as working-memory and learning, among children and adults. However, it remains open, whether similar or even stronger associations exist in old and very old age when changes in sleep and cognitive decrements are common. METHODS Using repeated daily-life assessments from a sample of 121 young-old (66-69 years old) and 39 old-old adults (84-90 years old), we assessed links between sleep duration and different aspects of working-memory (initial level, practice-related learning, and residualized variability) between and within persons. Participants reported their sleep durations every morning and performed a numerical working-memory updating task six times a day for seven consecutive days. RESULTS Both people who slept longer and those who slept shorter than the sample average showed lower initial performance levels, but a stronger increase of WM over time (i.e. larger learning effects), relative to people with average sleep. Sleep duration did not predict performance variability. Within-person associations were found for people sleeping relatively little on average: For them, working-memory performance was lower on days with shorter than average sleep, yet higher on days with longer than average sleep. Except for lower initial levels of working-memory in old-old adults, no differences between young-old and old-old adults were observed. CONCLUSION We conclude that sufficient sleep remains important for working-memory performance in older adults and that it is relevant to include different aspects of working-memory performance, because effects differed for initial performance and learning.
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Affiliation(s)
- Anna J Lücke
- Institute of Psychology, Ruprecht Karls University Heidelberg, Heidelberg, Germany
| | - Cornelia Wrzus
- Institute of Psychology, Ruprecht Karls University Heidelberg, Heidelberg, Germany
| | - Denis Gerstorf
- Department of Psychology, Humboldt University Berlin, Berlin, Germany
| | - Ute Kunzmann
- Institute of Psychology, University of Leipzig, Leipzig, Germany
| | - Martin Katzorreck
- Department of Psychology, Humboldt University Berlin, Berlin, Germany.,Institute of Psychology, University of Leipzig, Leipzig, Germany
| | - Florian Schmiedek
- DIPF
- Leibniz Institute for Research and Information in Education, Frankfurt am Main, Germany
| | | | - Oliver K Schilling
- Institute of Psychology, Ruprecht Karls University Heidelberg, Heidelberg, Germany
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12
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Brewster PWH, Rush J, Ozen L, Vendittelli R, Hofer SM. Feasibility and Psychometric Integrity of Mobile Phone-Based Intensive Measurement of Cognition in Older Adults. Exp Aging Res 2021; 47:303-321. [PMID: 33648422 DOI: 10.1080/0361073x.2021.1894072] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Background:There is a pressing need for assessment approaches that can be deployed remotely to measure cognitive outcomes in clinical trials and longitudinal aging cohorts. We evaluated the utility of a mobile phone-based intensive measurement study for this purpose. Method:A small cohort of healthy older adults (N = 17, mean age = 73) completed five assessment "bursts" over 12 months, with each measurement burst involving two assessments daily for five consecutive days. Each assessment included brief tests of visual short-term memory and information processing speed, as well as surveys measuring state factors that can affect cognition. Results:At study endpoint we had 94% retention, 97% compliance, and high participant satisfaction. Mobile cognitive test scores demonstrated good reliability, moderate correlations with in-person baseline neuropsychological testing, and significant associations with participant age and education level. Conclusions: Mobile phone-based intensive measurement designs represent a promising assessment approach for measuring cognition longitudinally in older adults.
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Affiliation(s)
- Paul W H Brewster
- Dept. of Psychology and Institute on Aging & Lifelong Health, University of Victoria, Victoria, BC, Canada
| | - Jonathan Rush
- Dept. of Psychology and Institute on Aging & Lifelong Health, University of Victoria, Victoria, BC, Canada
| | - Lana Ozen
- Dept. of Psychology and Institute on Aging & Lifelong Health, University of Victoria, Victoria, BC, Canada
| | - Rebecca Vendittelli
- Dept. of Psychology and Institute on Aging & Lifelong Health, University of Victoria, Victoria, BC, Canada
| | - Scott M Hofer
- Dept. of Psychology and Institute on Aging & Lifelong Health, University of Victoria, Victoria, BC, Canada
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13
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Hafiz P, Miskowiak KW, Maxhuni A, Kessing LV, Bardram JE. Wearable Computing Technology for Assessment of Cognitive Functioning of Bipolar Patients and Healthy Controls. PROCEEDINGS OF THE ACM ON INTERACTIVE, MOBILE, WEARABLE AND UBIQUITOUS TECHNOLOGIES 2020; 4:1-22. [DOI: 10.1145/3432219] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/25/2023]
Abstract
Mobile cognitive tests have been emerged to first, bring the assessments outside the clinics and second, frequently measure individuals' cognitive performance in their free-living environment. Patients with Bipolar Disorder (BD) suffer from cognitive impairments and poor sleep quality negatively affects their cognitive performance. Wearables are capable of unobtrusively collecting multivariate data including activity and sleep features. In this study, we analyzed daily attention, working memory, and executive functions of patients with BD and healthy controls by using a smartwatch-based tool called UbiCAT to 1) investigate its concurrent validity and feasibility, 2) identify digital phenotypes of mental health using cognitive and mobile sensor data, and 3) classify patients and healthy controls on the basis of their daily cognitive and mobile data. Our findings demonstrated that UbiCAT is feasible with valid measures for in-the-wild cognitive assessments. The analysis showed that the patients responded more slowly during the attention task than the healthy controls, which could indicate a lower alertness of this group. Furthermore, sleep duration correlated positively with participants' working memory performance the next day. Statistical analysis showed that features including cognitive measures of attention and executive functions, sleep duration, time in bed, awakening frequency and duration, and step counts are the digital phenotypes of mental health diagnosis. Supervised learning models was used to classify individuals' mental health diagnosis using their daily observations. Overall, we achieved accuracy of approximately 74% using K-Nearest Neighbour (KNN) method.
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Affiliation(s)
- Pegah Hafiz
- Technical University of Denmark, Lyngby, Denmark
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14
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Bartels SL, van Knippenberg RJM, Malinowsky C, Verhey FRJ, de Vugt ME. Smartphone-Based Experience Sampling in People With Mild Cognitive Impairment: Feasibility and Usability Study. JMIR Aging 2020; 3:e19852. [PMID: 33064084 PMCID: PMC7600012 DOI: 10.2196/19852] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Revised: 07/16/2020] [Accepted: 07/28/2020] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Daily functioning of people with cognitive disorders such as mild cognitive impairment (MCI) is usually depicted by retrospective questionnaires, which can be memory-biased and neglect fluctuations over time or contexts. OBJECTIVE This study examines the feasibility and usability of applying the experience sampling method (ESM) in people with MCI to provide a detailed and dynamic picture of behavioral, emotional, and cognitive patterns in everyday life. METHODS For 6 consecutive days, 21 people with MCI used an ESM app on their smartphones. At 8 semi-random timepoints per day, participants filled in momentary questionnaires on mood, activities, social context, and subjective cognitive complaints. Feasibility was determined through self-reports and observable human-technology interactions. Usability was demonstrated on an individual and group level. RESULTS Of the 21 participants, 3 dropped out due to forgetting to carry their smartphones or forgetting the study instructions. In the remaining 18 individuals, the compliance rate was high, at 78.7%. Participants reported that momentary questions reflected their daily experiences well. Of the 18 participants, 13 (72%) experienced the increase in awareness of their own memory functions as pleasant or neutral. CONCLUSIONS Support was found for the general feasibility of smartphone-based experience sampling in people with MCI. However, many older adults with MCI are currently not in possession of smartphones, and study adherence seems challenging for a minority of individuals. Momentary data can increase the insights into daily patterns and may guide the person-tailored development of self-management strategies in clinical settings.
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Affiliation(s)
- Sara Laureen Bartels
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, Maastricht, Netherlands
- Division of Occupational Therapy, Department of Neurobiology, Care Science and Society, Karolinska Institutet, Stockholm, Sweden
| | - Rosalia J M van Knippenberg
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, Maastricht, Netherlands
| | - Camilla Malinowsky
- Division of Occupational Therapy, Department of Neurobiology, Care Science and Society, Karolinska Institutet, Stockholm, Sweden
| | - Frans R J Verhey
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, Maastricht, Netherlands
| | - Marjolein E de Vugt
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Alzheimer Centre Limburg, Maastricht University, Maastricht, Netherlands
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15
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Feasibility and initial validation of 'HD-Mobile', a smartphone application for remote self-administration of performance-based cognitive measures in Huntington's disease. J Neurol 2020; 268:590-601. [PMID: 32880724 DOI: 10.1007/s00415-020-10169-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 07/29/2020] [Accepted: 08/13/2020] [Indexed: 10/23/2022]
Abstract
OBJECTIVE Smartphone-based cognitive assessment measures allow efficient, rapid, and convenient collection of cognitive datasets. Establishment of feasibility and validity is essential for the widespread use of this approach. We describe a novel smartphone application (HD-Mobile) that includes three performance-based cognitive tasks with four key outcome measures, for use with Huntington's disease (HD) samples. We describe known groups and concurrent validity, test-retest reliability, sensitivity, and feasibility properties of the tasks. METHODS Forty-two HD CAG-expanded participants (20 manifest, 22 premanifest) and 28 healthy controls completed HD-Mobile cognitive tasks three times across an 8-day period, on days 1, 4, and 8. A subsample of participants had pen-and-paper cognitive task data available from their most recent assessment from their participation in a separate observational longitudinal study, Enroll-HD. RESULTS Manifest-HD participants performed worse than healthy controls for three of four HD-Mobile cognitive measures, and worse than premanifest-HD participants for two of four measures. We found robust test-retest reliability for manifest-HD participants (ICC = 0.71-0.96) and with some exceptions, in premanifest-HD (ICC = 0.52-0.96) and healthy controls (0.54-0.96). Correlations between HD-Mobile and selected Enroll-HD cognitive tasks were mostly medium to strong (r = 0.36-0.68) as were correlations between HD-Mobile cognitive tasks and measures of expected disease progression and motor symptoms for the HD CAG-expanded participants (r = - 0.34 to - 0.54). CONCLUSIONS Results indicated robust known-groups, test-retest, concurrent validity, and sensitivity of HD-Mobile cognitive tasks. The study demonstrates the feasibility and utility of HD-Mobile for conducting convenient, frequent, and potentially ongoing assessment of HD samples without the need for in-person assessment.
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