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Hartson KR, Huntington-Moskos L, Sears CG, Genova G, Mathis C, Ford W, Rhodes RE. Use of Electronic Ecological Momentary Assessment Methodologies in Physical Activity, Sedentary Behavior, and Sleep Research in Young Adults: Systematic Review. J Med Internet Res 2023; 25:e46783. [PMID: 37384367 PMCID: PMC10365632 DOI: 10.2196/46783] [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: 03/01/2023] [Revised: 05/15/2023] [Accepted: 05/23/2023] [Indexed: 06/30/2023] Open
Abstract
BACKGROUND Recent technological advances allow for the repeated sampling of real-time data in natural settings using electronic ecological momentary assessment (eEMA). These advances are particularly meaningful for investigating physical activity, sedentary behavior, and sleep in young adults who are in a critical life stage for the development of healthy lifestyle behaviors. OBJECTIVE This study aims to describe the use of eEMA methodologies in physical activity, sedentary behavior, and sleep research in young adults. METHODS The PubMed, CINAHL, PsycINFO, Embase, and Web of Science electronic databases were searched through August 2022. Inclusion criteria were use of eEMA; sample of young adults aged 18 to 25 years; at least 1 measurement of physical activity, sedentary behavior, or sleep; English language; and a peer-reviewed report of original research. Study reports were excluded if they were abstracts, protocols, or reviews. The risk of bias assessment was conducted using the National Heart, Lung, and Blood Institute's Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies. Screening, data extraction, and risk of bias assessments were conducted by independent authors, with discrepancies resolved by consensus. Descriptive statistics and narrative synthesis were used to identify overarching patterns within the following categories guided by the Checklist for Reporting Ecological Momentary Assessments Studies: study characteristics, outcomes and measures, eEMA procedures, and compliance. RESULTS The search resulted in 1221 citations with a final sample of 37 reports describing 35 unique studies. Most reports (28/37, 76%) were published in the last 5 years (2017-2022), used observational designs (35/37, 95%), consisted of samples of college students or apprentices (28/35, 80%), and were conducted in the United States (22/37, 60%). The sample sizes ranged from 14 to 1584 young adults. Physical activity was measured more frequently (28/37, 76%) than sleep (16/37, 43%) or sedentary behavior (4/37, 11%). Of the 37 studies, 11 (30%) reports included 2 movement behaviors and no reports included 3 movement behaviors. eEMA was frequently used to measure potential correlates of movement behaviors, such as emotional states or feelings (25/37, 68%), cognitive processes (7/37, 19%), and contextual factors (9/37, 24%). There was wide variability in the implementation and reporting of eEMA procedures, measures, missing data, analysis, and compliance. CONCLUSIONS The use of eEMA methodologies in physical activity, sedentary behavior, and sleep research in young adults has greatly increased in recent years; however, reports continue to lack standardized reporting of features unique to the eEMA methodology. Additional areas in need of future research include the use of eEMA with more diverse populations and the incorporation of all 3 movement behaviors within a 24-hour period. The findings are intended to assist investigators in the design, implementation, and reporting of physical activity, sedentary behavior, and sleep research using eEMA in young adults. TRIAL REGISTRATION PROSPERO CRD42021279156; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021279156.
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Affiliation(s)
- Kimberly R Hartson
- School of Nursing, University of Louisville, Louisville, KY, United States
| | | | - Clara G Sears
- Christina Lee Brown Envirome Institute, University of Louisville, Louisville, KY, United States
| | - Gina Genova
- Kornhauser Health Sciences Library, University of Louisville, Louisville, KY, United States
| | - Cara Mathis
- School of Nursing, University of Louisville, Louisville, KY, United States
| | - Wessly Ford
- School of Nursing, University of Louisville, Louisville, KY, United States
| | - Ryan E Rhodes
- School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada
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Asare BYA, Robinson S, Kwasnicka D, Powell D. Application of Ecological Momentary Assessment in Studies with Rotation Workers in the Resources and Related Construction Sectors: A Systematic Review. Saf Health Work 2023; 14:10-16. [PMID: 36941930 PMCID: PMC10024174 DOI: 10.1016/j.shaw.2022.10.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 09/03/2022] [Accepted: 10/11/2022] [Indexed: 11/06/2022] Open
Abstract
Whilst Ecological momentary assessment (EMA) can provide important insights over time and across contexts among rotation workers whose work periods alternate with leave at home, it can also be challenging to implement in the resources and construction sectors. This review aimed to provide a summary of the methodological characteristics of EMA studies assessing health outcomes and related behaviors in rotation workers. Systematic searches in PubMed, Medline, EMBASE, CINAHL, PsycINFO, and Scopus were done to include 23 studies using EMA methods in assessing health-related outcomes and behaviors. EMA designs included daily diary: assessments once per day typically fixed at the end of day (47.8%), within day fixed interval time-based design: assessments on multiple times per day at certain times of day (17.4%) and combination of both designs (34.8%). Studies employed paper and pencil diaries (73.9%) and one or more electronic methods (60.9%): wrist-worn actigraphy device (52.2%) and online-based diaries (26.1%) for data collection. Most of the studies (91.3%) did not report prompting -EMAs by schedule alerts or compliance. Daily diary and within day fixed interval dairies designs are common, with the increasing use of electronic EMA delivery techniques. It is unclear how well participants adhere to assessment schedules, as these are inadequately reported. Researchers should report compliance-related information.
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Affiliation(s)
- Bernard Yeboah-Asiamah Asare
- Curtin School of Population Health, Curtin University, Bentley, Australia
- Health Psychology, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, United Kingdom
- Corresponding author. Curtin School of Population Health, Curtin University, Kent Street, Bentley, WA 6102, Australia
| | - Suzanne Robinson
- Curtin School of Population Health, Curtin University, Bentley, Australia
- Deakin Health Economics, Institute for Health Transformation, Deakin University, Burwood, Australia
| | - 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
| | - Daniel Powell
- Health Psychology, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, United Kingdom
- Rowett Institute, University of Aberdeen, Aberdeen, United Kingdom
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Mascarenhas Fonseca L, Strong RW, Singh S, Bulger JD, Cleveland M, Grinspoon E, Janess K, Jung L, Miller K, Passell E, Ressler K, Sliwinski MJ, Verdejo A, Weinstock RS, Germine L, Chaytor NS. Glycemic Variability and Fluctuations in Cognitive Status in Adults With Type 1 Diabetes (GluCog): Observational Study Using Ecological Momentary Assessment of Cognition. JMIR Diabetes 2023; 8:e39750. [PMID: 36602848 PMCID: PMC9853340 DOI: 10.2196/39750] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 09/06/2022] [Accepted: 09/20/2022] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Individuals with type 1 diabetes represent a population with important vulnerabilities to dynamic physiological, behavioral, and psychological interactions, as well as cognitive processes. Ecological momentary assessment (EMA), a methodological approach used to study intraindividual variation over time, has only recently been used to deliver cognitive assessments in daily life, and many methodological questions remain. The Glycemic Variability and Fluctuations in Cognitive Status in Adults with Type 1 Diabetes (GluCog) study uses EMA to deliver cognitive and self-report measures while simultaneously collecting passive interstitial glucose in adults with type 1 diabetes. OBJECTIVE We aimed to report the results of an EMA optimization pilot and how these data were used to refine the study design of the GluCog study. An optimization pilot was designed to determine whether low-frequency EMA (3 EMAs per day) over more days or high-frequency EMA (6 EMAs per day) for fewer days would result in a better EMA completion rate and capture more hypoglycemia episodes. The secondary aim was to reduce the number of cognitive EMA tasks from 6 to 3. METHODS Baseline cognitive tasks and psychological questionnaires were completed by all the participants (N=20), followed by EMA delivery of brief cognitive and self-report measures for 15 days while wearing a blinded continuous glucose monitor. These data were coded for the presence of hypoglycemia (<70 mg/dL) within 60 minutes of each EMA. The participants were randomized into group A (n=10 for group A and B; starting with 3 EMAs per day for 10 days and then switching to 6 EMAs per day for an additional 5 days) or group B (N=10; starting with 6 EMAs per day for 5 days and then switching to 3 EMAs per day for an additional 10 days). RESULTS A paired samples 2-tailed t test found no significant difference in the completion rate between the 2 schedules (t17=1.16; P=.26; Cohen dz=0.27), with both schedules producing >80% EMA completion. However, more hypoglycemia episodes were captured during the schedule with the 3 EMAs per day than during the schedule with 6 EMAs per day. CONCLUSIONS The results from this EMA optimization pilot guided key design decisions regarding the EMA frequency and study duration for the main GluCog study. The present report responds to the urgent need for systematic and detailed information on EMA study designs, particularly those using cognitive assessments coupled with physiological measures. Given the complexity of EMA studies, choosing the right instruments and assessment schedules is an important aspect of study design and subsequent data interpretation.
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Affiliation(s)
- Luciana Mascarenhas Fonseca
- Department of Community and Behavioral Health, Elson S Floyd College of Medicine, Washington State University, Spokane, WA, United States
- Old Age Research Group (PROTER), Department and Institute of Psychiatry, University of Sao Paulo, Sao Paulo, Brazil
| | - Roger W Strong
- Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
| | - Shifali Singh
- Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
| | - Jane D Bulger
- Department of Medicine, State University of New York Upstate Medical University, Syracuse, NY, United States
| | - Michael Cleveland
- Department of Human Development, Washington State University, Pullman, WA, United States
| | - Elizabeth Grinspoon
- Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
| | - Kamille Janess
- Jaeb Center for Health Research, Tampa, FL, United States
| | - Lanee Jung
- Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
| | - Kellee Miller
- Jaeb Center for Health Research, Tampa, FL, United States
| | - Eliza Passell
- Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
| | - Kerry Ressler
- The Silvio O Conte Center for Stress Peptide Advanced Research, Education, & Dissemination Center (SPARED), Department of Psychiatry, McLean Hospital, Harvard Medical School, Boston, MA, United States
| | - Martin John Sliwinski
- Department of Human Development and Family Studies, The Pennsylvania State University, State College, PA, United States
- Center for Healthy Aging, Pennsylvania State University, State College, PA, United States
| | | | - Ruth S Weinstock
- Department of Medicine, State University of New York Upstate Medical University, Syracuse, NY, United States
| | - Laura Germine
- Institute for Technology in Psychiatry, McLean Hospital, Belmont, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
| | - Naomi S Chaytor
- Department of Community and Behavioral Health, Elson S Floyd College of Medicine, Washington State University, Spokane, WA, United States
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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.
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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
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Bittel KM, O'Briant KY, Ragaglia RM, Buseth L, Murtha C, Yu J, Stanely JM, Hudgins BL, Hevel DJ, Maher JP. Associations Between Social Cognitive Determinants and Movement-Related Behaviors in Studies using Ecological Momentary Assessment Methods: A Systematic Review (Preprint). JMIR Mhealth Uhealth 2022; 11:e44104. [PMID: 37027185 PMCID: PMC10131703 DOI: 10.2196/44104] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 02/26/2023] [Accepted: 02/27/2023] [Indexed: 03/02/2023] Open
Abstract
BACKGROUND The social cognitive framework is a long-standing framework within physical activity promotion literature to explain and predict movement-related behaviors. However, applications of the social cognitive framework to explain and predict movement-related behaviors have typically examined the relationships between determinants and behavior across macrotimescales (eg, weeks and months). There is more recent evidence suggesting that movement-related behaviors and their social cognitive determinants (eg, self-efficacy and intentions) change across microtimescales (eg, hours and days). Therefore, efforts have been devoted to examining the relationship between social cognitive determinants and movement-related behaviors across microtimescales. Ecological momentary assessment (EMA) is a growing methodology that can capture movement-related behaviors and social cognitive determinants as they change across microtimescales. OBJECTIVE The objective of this systematic review was to summarize evidence from EMA studies examining associations between social cognitive determinants and movement-related behaviors (ie, physical activity and sedentary behavior). METHODS Studies were included if they quantitatively tested such an association at the momentary or day level and excluded if they were an active intervention. Using keyword searches, articles were identified across the PubMed, SPORTDiscus, and PsycINFO databases. Articles were first assessed through abstract and title screening followed by full-text review. Each article was screened independently by 2 reviewers. For eligible articles, data regarding study design, associations between social cognitive determinants and movement-related behaviors, and study quality (ie, Methodological Quality Questionnaire and Checklist for Reporting Ecological Momentary Assessment Studies) were extracted. At least 4 articles were required to draw a conclusion regarding the overall associations between a social cognitive determinant and movement-related behavior. For the social cognitive determinants in which a conclusion regarding an overall association could be drawn, 60% of the articles needed to document a similar association (ie, positive, negative, or null) to conclude that the association existed in a particular direction. RESULTS A total of 24 articles including 1891 participants were eligible for the review. At the day level, intentions and self-efficacy were positively associated with physical activity. No other associations could be determined because of conflicting findings or the small number of studies investigating associations. CONCLUSIONS Future research would benefit from validating EMA assessments of social cognitive determinants and systematically investigating associations across different operationalizations of key constructs. Despite the only recent emergence of EMA to understand social cognitive determinants of movement-related behaviors, the findings indicate that daily intentions and self-efficacy play an important role in regulating physical activity in everyday life. TRIAL REGISTRATION PROSPERO CRD42022328500; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=328500.
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Affiliation(s)
- Kelsey M Bittel
- Department of Kinesiology, University Of North Carolina Greensboro, Greensboro, NC, United States
| | - Kate Y O'Briant
- Department of Kinesiology, University Of North Carolina Greensboro, Greensboro, NC, United States
| | - Rena M Ragaglia
- Department of Kinesiology, University Of North Carolina Greensboro, Greensboro, NC, United States
| | - Lake Buseth
- Department of Kinesiology, University Of North Carolina Greensboro, Greensboro, NC, United States
| | - Courtney Murtha
- Department of Kinesiology, University Of North Carolina Greensboro, Greensboro, NC, United States
| | - Jessica Yu
- Department of Kinesiology, University Of North Carolina Greensboro, Greensboro, NC, United States
| | - Jennifer M Stanely
- Department of Kinesiology, University Of North Carolina Greensboro, Greensboro, NC, United States
| | - Brynn L Hudgins
- Department of Kinesiology, University Of North Carolina Greensboro, Greensboro, NC, United States
| | - Derek J Hevel
- Department of Kinesiology, University Of North Carolina Greensboro, Greensboro, NC, United States
| | - Jaclyn P Maher
- Department of Kinesiology, University Of North Carolina Greensboro, Greensboro, NC, United States
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Ryan M, Alliott O, Ikeda E, Luan J, Hofmann R, van Sluijs E. Features of effective staff training programmes within school-based interventions targeting student activity behaviour: a systematic review and meta-analysis. Int J Behav Nutr Phys Act 2022; 19:125. [PMID: 36153617 PMCID: PMC9509574 DOI: 10.1186/s12966-022-01361-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 09/02/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Evaluations of school-based activity behaviour interventions suggest limited effectiveness on students' device-measured outcomes. Teacher-led implementation is common but the training provided is poorly understood and may affect implementation and student outcomes. We systematically reviewed staff training delivered within interventions and explored if specific features are associated with intervention fidelity and student activity behaviour outcomes. METHODS We searched seven databases (January 2015-May 2020) for randomised controlled trials of teacher-led school-based activity behaviour interventions reporting on teacher fidelity and/or students' device-measured activity behaviour. Pilot, feasibility and small-scale trials were excluded. Study authors were contacted if staff training was not described using all items from the Template for Intervention Description and Replication reporting guideline. Training programmes were coded using the Behaviour Change Technique (BCT) Taxonomy v1. The Effective Public Health Practice Project tool was used for quality assessment. Promise ratios were used to explore associations between BCTs and fidelity outcomes (e.g. % of intended sessions delivered). Differences between fidelity outcomes and other training features were explored using chi-square and Wilcoxon rank-sum tests. Random-effects meta-regressions were performed to explore associations between training features and changes in students' activity behaviour. RESULTS We identified 68 articles reporting on 53 eligible training programmes and found evidence that 37 unique teacher-targeted BCTs have been used (mean per programme = 5.1 BCTs; standard deviation = 3.2). The only frequently identified BCTs were 'Instruction on how to perform the behaviour' (identified in 98.1% of programmes) and 'Social support (unspecified)' (50.9%). We found moderate/high fidelity studies were significantly more likely to include shorter (≤6 months) and theory-informed programmes than low fidelity studies, and 19 BCTs were independently associated with moderate/high fidelity outcomes. Programmes that used more BCTs (estimated increase per additional BCT, d: 0.18; 95% CI: 0.05, 0.31) and BCTs 'Action planning' (1.40; 0.70, 2.10) and 'Feedback on the behaviour' (1.19; 0.36, 2.02) were independently associated with positive physical activity outcomes (N = 15). No training features associated with sedentary behaviour were identified (N = 11). CONCLUSIONS Few evidence-based BCTs have been used to promote sustained behaviour change amongst teachers in school-based activity behaviour interventions. Our findings provide insights into why interventions may be failing to effect student outcomes. TRIAL REGISTRATION PROSPERO registration number: CRD42020180624.
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Affiliation(s)
- Mairead Ryan
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
- Faculty of Education, University of Cambridge, Cambridge, UK
| | - Olivia Alliott
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Erika Ikeda
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Jian'an Luan
- MRC Epidemiology Unit, University of Cambridge, Cambridge, UK
| | - Riikka Hofmann
- Faculty of Education, University of Cambridge, Cambridge, UK
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Schulz PJ, Andersson EM, Bizzotto N, Norberg M. Using Ecological Momentary Assessment to Study the Development of COVID-19 Worries in Sweden: Longitudinal Study. J Med Internet Res 2021; 23:e26743. [PMID: 34847065 PMCID: PMC8669580 DOI: 10.2196/26743] [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: 12/23/2020] [Revised: 04/06/2021] [Accepted: 06/14/2021] [Indexed: 11/24/2022] Open
Abstract
Background The foray of COVID-19 around the globe has certainly instigated worries in many people, and lockdown measures may well have triggered more specific worries. Sweden, more than other countries, relied on voluntary measures to fight the pandemic. This provides a particularly interesting context to assess people’s reactions to the threat of the pandemic. Objective The general aim of this study was to better understand the worried reactions to the virus and the associated lockdown measures. As there have been very few longitudinal studies in this area published to date, development of feelings of worry over time was analyzed over a longer range than in previous research. Affective variables, worry in particular, were included because most of the research in this field has focused on cognitive variables. To employ new methodology, ecological momentary assessment was used for data collection and a multilevel modeling approach was adopted for data analysis. Methods Results were based on an unbalanced panel sample of 260 Swedish participants filling in 3226 interview questionnaires by smartphone over a 7-week period in 2020 during the rapid rise of cases in the early phase of the pandemic. Causal factors considered in this study included the perceived severity of an infection, susceptibility of a person to the threat posed by the virus, perceived efficacy of safeguarding measures, and assessment of government action against the spread of COVID-19. The effect of these factors on worries was traced in two analytical steps: the effects at the beginning of the study and the effect on the trend during the study. Results The level of general worry related to COVID-19 was modest (mean 6.67, SD 2.54 on an 11-point Likert scale); the increase during the study period was small, but the interindividual variation of both the worry level and its increase over time was large. Findings confirmed that the hypothesized causal factors (severity of infection, susceptibility to the threat of the virus, efficacy of safeguarding, and assessment of government preventive action) did indeed affect the level of worry. Conclusions The results confirmed earlier research in a very special case and demonstrated the usefulness of a different study design, which takes a longitudinal perspective, and a new type of data analysis borrowed from multilevel study design.
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Affiliation(s)
- Peter Johannes Schulz
- Institute of Communication and Health, Università della Svizzera italiana, Lugano, Switzerland
| | | | - Nicole Bizzotto
- Institute of Communication and Health, Università della Svizzera italiana, Lugano, Switzerland
| | - Margareta Norberg
- Department of Epidemiology and Global Health, Umeå University, Umeå, Sweden
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Dao KP, De Cocker K, Tong HL, Kocaballi AB, Chow C, Laranjo L. Smartphone-Delivered Ecological Momentary Interventions Based on Ecological Momentary Assessments to Promote Health Behaviors: Systematic Review and Adapted Checklist for Reporting Ecological Momentary Assessment and Intervention Studies. JMIR Mhealth Uhealth 2021; 9:e22890. [PMID: 34806995 PMCID: PMC8663593 DOI: 10.2196/22890] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2020] [Revised: 11/06/2020] [Accepted: 07/26/2021] [Indexed: 01/20/2023] Open
Abstract
Background Healthy behaviors are crucial for maintaining a person’s health and well-being. The effects of health behavior interventions are mediated by individual and contextual factors that vary over time. Recently emerging smartphone-based ecological momentary interventions (EMIs) can use real-time user reports (ecological momentary assessments [EMAs]) to trigger appropriate support when needed in daily life. Objective This systematic review aims to assess the characteristics of smartphone-delivered EMIs using self-reported EMAs in relation to their effects on health behaviors, user engagement, and user perspectives. Methods We searched MEDLINE, Embase, PsycINFO, and CINAHL in June 2019 and updated the search in March 2020. We included experimental studies that incorporated EMIs based on EMAs delivered through smartphone apps to promote health behaviors in any health domain. Studies were independently screened. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines were followed. We performed a narrative synthesis of intervention effects, user perspectives and engagement, and intervention design and characteristics. Quality appraisal was conducted for all included studies. Results We included 19 papers describing 17 unique studies and comprising 652 participants. Most studies were quasi-experimental (13/17, 76%), had small sample sizes, and great heterogeneity in intervention designs and measurements. EMIs were most popular in the mental health domain (8/17, 47%), followed by substance abuse (3/17, 18%), diet, weight loss, physical activity (4/17, 24%), and smoking (2/17, 12%). Of the 17 studies, the 4 (24%) included randomized controlled trials reported nonstatistically significant effects on health behaviors, and 4 (24%) quasi-experimental studies reported statistically significant pre-post improvements in self-reported primary outcomes, namely depressive (P<.001) and psychotic symptoms (P=.03), drinking frequency (P<.001), and eating patterns (P=.01). EMA was commonly used to capture subjective experiences as well as behaviors, whereas sensors were rarely used. Generally, users perceived EMIs to be helpful. Common suggestions for improvement included enhancing personalization, multimedia and interactive capabilities (eg, voice recording), and lowering the EMA reporting burden. EMI and EMA components were rarely reported and were not described in a standardized manner across studies, hampering progress in this field. A reporting checklist was developed to facilitate the interpretation and comparison of findings and enhance the transparency and replicability of future studies using EMAs and EMIs. Conclusions The use of smartphone-delivered EMIs using self-reported EMAs to promote behavior change is an emerging area of research, with few studies evaluating efficacy. Such interventions could present an opportunity to enhance health but need further assessment in larger participant cohorts and well-designed evaluations following reporting checklists. Future research should explore combining self-reported EMAs of subjective experiences with objective data passively collected via sensors to promote personalization while minimizing user burden, as well as explore different EMA data collection methods (eg, chatbots). Trial Registration PROSPERO CRD42019138739; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=138739
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Affiliation(s)
- Kim Phuong Dao
- Westmead Applied Research Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.,Capital Health Network, Canberra, Australia
| | - Katrien De Cocker
- Institute for Resilient Regions, Centre for Health Research, University of Southern Queensland, Springfield Central, Australia
| | - Huong Ly Tong
- Westmead Applied Research Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - A Baki Kocaballi
- School of Computer Science, Faculty of Engineering & Information Technology, University of Technology Sydney, Sydney, Australia
| | - Clara Chow
- Westmead Applied Research Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
| | - Liliana Laranjo
- Westmead Applied Research Centre, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
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Nam S, Griggs S, Ash GI, Dunton GF, Huang S, Batten J, Parekh N, Whittemore R. Ecological momentary assessment for health behaviors and contextual factors in persons with diabetes: A systematic review. Diabetes Res Clin Pract 2021; 174:108745. [PMID: 33713720 DOI: 10.1016/j.diabres.2021.108745] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Revised: 02/13/2021] [Accepted: 03/02/2021] [Indexed: 01/25/2023]
Abstract
AIM The objective of this systematic review was to summarize the ecological momentary assessment (EMA) methodology and associations between EMA-measured psychosocial, contextual factors and diabetes self-management. METHODS The inclusion criteria were: research of EMA and diabetes self-management behaviors such as glucose checks, administration of insulin and eating-and dietary intake behaviors among persons with diabetes. A comprehensive search of several databases was conducted across all dates until July 2020. RESULTS A modified Checklist for Reporting EMA Studies was used to assess the quality of studies. Among the ten included studies, participants were predominantly White adolescents with type 1 diabetes (T1D) and type 2 diabetes was studied in two studies. Time-varying, psychosocial contexts such as negative affect or negative social interaction were associated with missed insulin injection and poor adherence to glucose check. More preceding psychological stress was associated with more calorie intake from snacks or binge eating behaviors. Mornings were the most challenging time of day for adherence to diabetes self-management among adolescents with T1D. Intentional insulin withholding was more common in the afternoon in adults with T1D. CONCLUSIONS EMA has potential clinical utility in the assessment of diabetes self-management and in the development of timely and individualized diabetes interventions.
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Affiliation(s)
- Soohyun Nam
- Yale University, School of Nursing, 400 West Campus Dr. Orange, Connecticut 06477, United States.
| | - Stephanie Griggs
- Frances Payne Bolton School of Nursing, Case Western Reserve University, 9501 Euclid Ave, Cleveland, OH 44106-4904, United States
| | - Garrett I Ash
- Veterans Affairs Connecticut Healthcare System, 950 Campbell Avenue, West Haven, CT 06516, United States; Yale University, Center for Medical Informatics, 300 George St, New Haven, CT 06511, United States
| | - Genevieve F Dunton
- University of Southern California, Departments of Preventive Medicine and Psychology, 2001 N Soto Street, Los Angeles, CA 90032, United States
| | - Shuyuan Huang
- Yale University, School of Nursing, 400 West Campus Dr. Orange, Connecticut 06477, United States
| | - Janene Batten
- Harvey Cushing/John Hay Whitney Medical Library, Yale University, 333 Cedar St, New Haven, CT 06520-8014, United States
| | - Niyati Parekh
- New York University, School of Global Public Health, 715 Broadway, Room 1220, New York, NY 10003, United States
| | - Robin Whittemore
- Yale University, School of Nursing, 400 West Campus Dr. Orange, Connecticut 06477, United States
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Aunger J, Wagnild J. Objective and subjective measurement of sedentary behavior in human adults: A toolkit. Am J Hum Biol 2020; 34:e23546. [PMID: 33277954 PMCID: PMC9286366 DOI: 10.1002/ajhb.23546] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 11/11/2020] [Accepted: 11/19/2020] [Indexed: 02/06/2023] Open
Abstract
OBJECTIVES Objectives: Human biologists are increasingly interested in measuring and comparing physical activities in different societies. Sedentary behavior, which refers to time spent sitting or lying down while awake, is a large component of daily 24 hours movement patterns in humans and has been linked to poor health outcomes such as risk of all-cause and cardiovascular mortality, independently of physical activity. As such, it is important for researchers, with the aim of measuring human movement patterns, to most effectively use resources available to them to capture sedentary behavior. METHODS This toolkit outlines objective (device-based) and subjective (self-report) methods for measuring sedentary behavior in free-living contexts, the benefits and drawbacks to each, as well as novel options for combined use to maximize scientific rigor. Throughout this toolkit, emphasis is placed on considerations for the use of these methods in various field conditions and in varying cultural contexts. RESULTS Objective measures such as inclinometers are the gold-standard for measuring total sedentary time but they typically cannot capture contextual information or determine which specific behaviors are taking place. Subjective measures such as questionnaires and 24 hours-recall methods can provide measurements of time spent in specific sedentary behaviors but are subject to measurement error and response bias. CONCLUSIONS We recommend that researchers use the method(s) that suit the research question; inclinometers are recommended for the measurement of total sedentary time, while self-report methods are recommended for measuring time spent in particular contexts of sedentary behavior.
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Affiliation(s)
- Justin Aunger
- Health Services Management Centre, Park House, University of Birmingham, England, UK
| | - Janelle Wagnild
- Department of Anthropology, Durham University, Durham, England, UK
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Pinto BM, Kindred MD, Dunsiger SI, Williams DM. Sedentary behavior among breast cancer survivors: a longitudinal study using ecological momentary assessments. J Cancer Surviv 2020; 15:546-553. [PMID: 33029754 DOI: 10.1007/s11764-020-00948-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Accepted: 09/28/2020] [Indexed: 11/24/2022]
Abstract
PURPOSE Sedentary behavior (SB) or any waking behavior ≤ 1.5 METs is associated with an increase in body weight and fatigue and poor quality of life among cancer survivors. The purpose of this study was to explore longitudinal trends in SB using accelerometers and associated variables via ecological momentary assessments (EMA) among breast cancer survivors. METHODS Breast cancer survivors (within 5 years post-diagnosis) were recruited for a 12-month observational study. Participants were asked to download an EMA application to their smartphones to receive prompts for 7 days and to concurrently wear an Actigraph accelerometer. Participants responded to 35 prompts during each 7-day assessment period at baseline, and at 3, 6, 9, and 12 months. Within each prompt, participants were asked questions about their current level of affect, sadness, anxiety, stress, worry and fatigue, and cancer-related symptoms (e.g., neuropathy). RESULTS Twenty-two survivors (mean age = 51.5 years) were recruited and 20 participants completed the study. Mean baseline SB averaged 76.7 h/week. Univariate longitudinal models suggested higher levels of sadness, anxiety, stress, worry, and fatigue were associated with more SB while more positive affect was associated with less SB. Additionally, non-leisure context (work) was associated with more SB. Autoregressive models indicated cross-lagged effects of affective valence, fatigue, and SB. CONCLUSIONS More negative affective valence and higher fatigue were associated with more SB. Reducing negative affect valence and offering non-sedentary approaches to manage fatigue may help reduce SB. IMPLICATIONS FOR CANCER SURVIVORS Specific interventions are needed to reduce SB among cancer survivors-particularly those that target negative affect valence and fatigue.
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Affiliation(s)
- Bernardine M Pinto
- College of Nursing, University of South Carolina, 1601 Greene St., Columbia, SC, 29208, USA.
| | | | - Shira I Dunsiger
- Brown University School of Public Health, Providence, RI, 02908, USA
| | - David M Williams
- Brown University School of Public Health, Providence, RI, 02908, USA
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12
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Reichert M, Giurgiu M, Koch E, Wieland LM, Lautenbach S, Neubauer AB, von Haaren-Mack B, Schilling R, Timm I, Notthoff N, Marzi I, Hill H, Brüβler S, Eckert T, Fiedler J, Burchartz A, Anedda B, Wunsch K, Gerber M, Jekauc D, Woll A, Dunton GF, Kanning M, Nigg CR, Ebner-Priemer U, Liao Y. Ambulatory Assessment for Physical Activity Research: State of the Science, Best Practices and Future Directions. PSYCHOLOGY OF SPORT AND EXERCISE 2020; 50:101742. [PMID: 32831643 PMCID: PMC7430559 DOI: 10.1016/j.psychsport.2020.101742] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Technological and digital progress benefits physical activity (PA) research. Here we compiled expert knowledge on how Ambulatory Assessment (AA) is utilized to advance PA research, i.e., we present results of the 2nd International CAPA Workshop 2019 "Physical Activity Assessment - State of the Science, Best Practices, Future Directions" where invited researchers with experience in PA assessment, evaluation, technology and application participated. First, we provide readers with the state of the AA science, then we give best practice recommendations on how to measure PA via AA and shed light on methodological frontiers, and we furthermore discuss future directions. AA encompasses a class of methods that allows the study of PA and its behavioral, biological and physiological correlates as they unfold in everyday life. AA includes monitoring of movement (e.g., via accelerometry), physiological function (e.g., via mobile electrocardiogram), contextual information (e.g., via geolocation-tracking), and ecological momentary assessment (EMA; e.g., electronic diaries) to capture self-reported information. The strengths of AA are data assessment that near realtime, which minimizes retrospective biases in real-world settings, consequentially enabling ecological valid findings. Importantly, AA enables multiple assessments across time within subjects resulting in intensive longitudinal data (ILD), which allows unraveling within-person determinants of PA in everyday life. In this paper, we show how AA methods such as triggered e-diaries and geolocation-tracking can be used to measure PA and its correlates, and furthermore how these findings may translate into real-life interventions. In sum, AA provides numerous possibilities for PA research, especially the opportunity to tackle within- subject antecedents, concomitants, and consequences of PA as they unfold in everyday life. In-depth insights on determinants of PA could help us design and deliver impactful interventions in real-world contexts, thus enabling us to solve critical health issues in the 21st century such as insufficient PA and high levels of sedentary behavior.
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Affiliation(s)
- Markus Reichert
- Mental mHealth Lab, Institute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT); postal address: Engler-Bunte-Ring 15, 76131 Karlsruhe, Baden-Wuerttemberg, Germany
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health (CIMH), Medical Faculty Mannheim, Heidelberg University; postal address: Central Institute of Mental Health (CIMH), Square J5, 68159 Mannheim, Baden-Wuerttemberg, Germany
| | - Marco Giurgiu
- Mental mHealth Lab, Institute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT); postal address: Engler-Bunte-Ring 15, 76131 Karlsruhe, Baden-Wuerttemberg, Germany
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health (CIMH), Medical Faculty Mannheim, Heidelberg University; postal address: Central Institute of Mental Health (CIMH), Square J5, 68159 Mannheim, Baden-Wuerttemberg, Germany
| | - Elena Koch
- Mental mHealth Lab, Institute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT); postal address: Engler-Bunte-Ring 15, 76131 Karlsruhe, Baden-Wuerttemberg, Germany
| | - Lena M. Wieland
- Mental mHealth Lab, Institute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT); postal address: Engler-Bunte-Ring 15, 76131 Karlsruhe, Baden-Wuerttemberg, Germany
| | - Sven Lautenbach
- Heidelberg Institute for Geoinformation Technology (HeiGIT) at Heidelberg University; postal address: Heidelberg Institute for Geoinformation Technology, Schloss-Wolfsbrunnenweg 33, 69118 Heidelberg, Baden-Wuerttemberg, Germany
| | - Andreas B. Neubauer
- Department of Education and Human Development, DIPF | Leibniz Institute for Research and Information in Education; postal address: Rostocker Straße 6, 60323 Frankfurt am Main, Hessen, Germany
- Center for Research on Individual Development and Adaptive Education of Children at Risk (IDeA); postal address: Rostocker Straße 6, 60323 Frankfurt am Main, Hessen, Germany
| | - Birte von Haaren-Mack
- Department of Health and Social Psychology, Institute of Psychology, German Sport University Cologne; postal address: Am Sportpark Muengersdorf 6, 50933 Cologne, North Rhine-Westphalia, Germany
| | - Renè Schilling
- Department of Sport, Exercise and Health, University of Basel, Postal address: Birsstrasse 320 B, 4052 Basel, Switzerland
| | - Irina Timm
- Mental mHealth Lab, Institute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT); postal address: Engler-Bunte-Ring 15, 76131 Karlsruhe, Baden-Wuerttemberg, Germany
| | - Nanna Notthoff
- Institute of Sport and Exercise Psychology, Department of Sports Science, Leipzig University; postal address: Jahnallee 59, 04109 Leipzig, Saxony, Germany
| | - Isabel Marzi
- Department of Sports Science and Sport, Friedrich-Alexander-University Erlangen-Nürnberg (FAU); postal address: Gebbertstrasse 123b, 91058 Erlangen, Bavaria, Germany
| | - Holger Hill
- Mental mHealth Lab, Institute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT); postal address: Engler-Bunte-Ring 15, 76131 Karlsruhe, Baden-Wuerttemberg, Germany
| | - Sarah Brüβler
- Mental mHealth Lab, Institute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT); postal address: Engler-Bunte-Ring 15, 76131 Karlsruhe, Baden-Wuerttemberg, Germany
| | - Tobias Eckert
- Departments of Preventive Medicine and Psychology, University of Southern California; postal address: 2001 N. Soto St., Los Angeles, CA, 90032, USA
| | - Janis Fiedler
- Institute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT); postal address: Engler-Bunte-Ring 15, 76131 Karlsruhe, Baden-Wuerttemberg, Germany
| | - Alexander Burchartz
- Institute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT); postal address: Engler-Bunte-Ring 15, 76131 Karlsruhe, Baden-Wuerttemberg, Germany
| | - Bastian Anedda
- Institute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT); postal address: Engler-Bunte-Ring 15, 76131 Karlsruhe, Baden-Wuerttemberg, Germany
| | - Kathrin Wunsch
- Institute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT); postal address: Engler-Bunte-Ring 15, 76131 Karlsruhe, Baden-Wuerttemberg, Germany
| | - Markus Gerber
- Department of Sport, Exercise and Health, University of Basel, Postal address: Birsstrasse 320 B, 4052 Basel, Switzerland
| | - Darko Jekauc
- Institute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT); postal address: Engler-Bunte-Ring 15, 76131 Karlsruhe, Baden-Wuerttemberg, Germany
| | - Alexander Woll
- Institute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT); postal address: Engler-Bunte-Ring 15, 76131 Karlsruhe, Baden-Wuerttemberg, Germany
| | - Genevieve F. Dunton
- Departments of Preventive Medicine and Psychology, University of Southern California; postal address: 2001 N. Soto St., Los Angeles, CA, 90032, USA
| | - Martina Kanning
- Department of Sport Science, Social and Health Sciences, University of Konstanz; postal address: Universitätsstraße 10, 78464 Konstanz, Baden-Wuerttemberg, Germany
| | - Claudio R. Nigg
- Institute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT); postal address: Engler-Bunte-Ring 15, 76131 Karlsruhe, Baden-Wuerttemberg, Germany
| | - Ulrich Ebner-Priemer
- Mental mHealth Lab, Institute of Sports and Sports Science, Karlsruhe Institute of Technology (KIT); postal address: Engler-Bunte-Ring 15, 76131 Karlsruhe, Baden-Wuerttemberg, Germany
| | - Yue Liao
- Department of Behavioral Science, University of Texas MD Anderson Cancer Center, postal address: 1515 Holcombe Blvd., Houston, Texas 77030, USA
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de Girolamo G, Rocchetti M, Benzi IMA, Agosta S, Casiraghi L, Ferrari C, De Franceschi N, Macis A, Pogliaghi S, Starace F. DAily time use, Physical Activity, quality of care and interpersonal relationships in patients with Schizophrenia spectrum disorders (DiAPASon): an Italian multicentre study. BMC Psychiatry 2020; 20:287. [PMID: 32513140 PMCID: PMC7278132 DOI: 10.1186/s12888-020-02588-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Accepted: 04/05/2020] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND Schizophrenia spectrum disorders (SSD) are ranked among the leading causes of disabilities worldwide. Many people with SSD spend most of their daily time being inactive, and this is related to the severity of negative symptoms. Here, we present the 3-year DiAPAson project aimed at (1) evaluating the daily time use among patients with SSD living in Residential Facilities (RFs) compared to outpatients with SSD and to the general population (Study 1); (2) evaluating the quality of staff-patient relationships, its association with specific patient outcomes and the quality of care provided in RFs (Study 2); and (3) assessing daily activity patterns in residential patients, outpatients with SSD and healthy controls using real-time methodologies (Study 3). METHODS Study 1 will include 300 patients with SSD living in RFs and 300 outpatients; data obtained in these clinical populations will be compared with normative data obtained by the National Institute of Statistics (ISTAT) in the national survey on daily time use. Time use assessments will consist of daily diaries asking participants to retrospectively report time spent in different activities. In Study 2, a series of questionnaires will be administered to 300 residential patients (recruited for Study 1) to evaluate the quality of care and staff-patient relationships, level of well-being and burnout of RFs' staff, and quality of RFs using a European standardized questionnaire (QuIRC-SA). In Study 3, the daily time use will be evaluated in a subgroup of 50 residential patients, 50 outpatients and 50 healthy controls using the Experience Sampling Method approach (participants will complete a brief questionnaire -about time use, mood and perceived energy- on a smartphone 8 times a day for 1 week) to compare retrospective and real-time reports. Moreover, their level of physical activity, sleep patterns, and energy expenditure will be monitored through a multi-sensor device. DISCUSSION This project is highly innovative because it combines different types of assessments (i.e., retrospective and real-time reports; multi-sensor monitoring) to trace an accurate picture of daily time use and levels of physical activity that will help identify the best therapeutic options promoting daily activities and physical exercise in patients with SSD. TRIAL REGISTRATION ISRCTN registry ID ISRCTN21141466.
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Affiliation(s)
- Giovanni de Girolamo
- Unit of Epidemiological and Evaluation Psychiatry, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Matteo Rocchetti
- Department of Mental Health and Dependence, ASST of Pavia, Pavia, Italy
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Ilaria Maria Antonietta Benzi
- Unit of Epidemiological and Evaluation Psychiatry, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Sara Agosta
- Department of Mental Health and Dependence, AUSL of Modena, Modena, Italy
| | - Letizia Casiraghi
- Department of Mental Health and Dependence, ASST of Pavia, Pavia, Italy
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Clarissa Ferrari
- Service of Statistics, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | | | - Ambra Macis
- Service of Statistics, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy
| | - Silvia Pogliaghi
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Fabrizio Starace
- Department of Mental Health and Dependence, AUSL of Modena, Modena, Italy
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Zapata-Lamana R, Lalanza JF, Losilla JM, Parrado E, Capdevila L. mHealth technology for ecological momentary assessment in physical activity research: a systematic review. PeerJ 2020; 8:e8848. [PMID: 32257648 PMCID: PMC7103204 DOI: 10.7717/peerj.8848] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Accepted: 03/03/2020] [Indexed: 12/28/2022] Open
Abstract
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.
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Affiliation(s)
| | - Jaume F. Lalanza
- Department of Basic Psychology, Universitat Autónoma de Barcelona, Bellaterra, Spain
| | - Josep-Maria Losilla
- Department of Psychobiology and Methodology of Health Science, Universitat Autónoma de Barcelona, Bellaterra, Spain
- Sport Research Institute UAB, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Eva Parrado
- Department of Basic Psychology, Universitat Autónoma de Barcelona, Bellaterra, Spain
- Sport Research Institute UAB, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Lluis Capdevila
- Department of Basic Psychology, Universitat Autónoma de Barcelona, Bellaterra, Spain
- Sport Research Institute UAB, Universitat Autònoma de Barcelona, Bellaterra, Spain
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Application of an Ecological Momentary Assessment Protocol in a Workplace Intervention: Assessing Compliance, Criterion Validity, and Reactivity. J Phys Act Health 2019; 16:985-992. [PMID: 31541068 DOI: 10.1123/jpah.2019-0152] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Revised: 05/31/2019] [Accepted: 07/19/2019] [Indexed: 11/18/2022]
Abstract
BACKGROUND Ecological momentary assessment (EMA) is a method of collecting behavioral data in real time. The purpose of this study was to examine EMA compliance, identify factors predicting compliance, assess criterion validity of, and reactivity to, using EMA in a workplace intervention study. METHODS Forty-five adults (91.1% female, 39.7 [9.6] y) were recruited for a workplace standing desk intervention. Participants received 5 surveys each day for 5 workdays via smartphone application. EMA items assessed current position (sitting/standing/stepping). EMA responses were time matched to objectively measured time in each position before and after each prompt. Multilevel logistic regression models estimated factors influencing EMA response. Cohen kappa measured interrater agreement between EMA-reported and device-measured position. Reactivity was assessed by comparing objectively measured sitting/standing/stepping in the 15 minutes before and after each EMA prompt using multilevel repeated-measures models. RESULTS Participants answered 81.4% of EMA prompts. Differences in compliance differed by position. There was substantial agreement between EMA-reported and device-measured position (κ = .713; P < .001). Following the EMA prompt, participants sat 0.87 minutes more than before the prompt (P < .01). CONCLUSION The use of EMA is a valid assessment of position when used in an intervention to reduce occupational sitting and did not appear to disrupt sitting in favor of the targeted outcome.
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