scholarly journals A Systematic Review of Momentary Assessment Designs for Mood and Anxiety Symptoms

2021 ◽  
Vol 12 ◽  
Author(s):  
Mila Hall ◽  
Paloma V. Scherner ◽  
Yannic Kreidel ◽  
Julian A. Rubel
Keyword(s):  
Systematic Review ◽  
Data Collection ◽  
Depressive Symptomatology ◽  
Data Extraction ◽  
Relevant Literature ◽  
Design Decision ◽  
Measurement Design ◽  
Ecological Momentary ◽  
Study Designs ◽  
Momentary Assessment

Background: Altering components of ecological momentary assessment (EMA) measures to better suit the purposes of individual studies is a common and oftentimes necessary step. Though the inherent flexibility in EMA has its benefits, no resource exists to provide an overview of the variability in how convergent constructs and symptoms have been assessed in the past. The present study fills that gap by examining EMA measurement design for mood and anxiety symptomatology.Methods: Various search engines were used to identify 234 relevant studies. Items administered, data collection schedules (i.e., beeps per day), response scales (i.e., Likert), data collection platforms (i.e., apps), and psychometric properties (i.e., reliability) were extracted.Results: Study designs varied greatly in all aspects across the identified papers. Over 4,600 extracted items were qualitatively analyzed, resulting in the identification of 12 themes. The most EMA items focused on affect, with categories such as “happiness” and “tension” appearing most frequently. We provide all of our data extraction in the format of an open-source database.Limitations: Despite our best attempts to include as much of the relevant literature as possible, this review and the accompanying database are not exhaustive, but can easily be built upon to include other, newer studies.Conclusions: The fact that the affect theme featured both positive and negative emotional constructs highlights the dichotomous focus on valence and affect within the literature surrounding anxious and depressive symptomatology. We hope that our database will act as a helpful design decision-making resource for researchers studying this kind of symptomatology in the future.Systematic Review Registration: PROSPERO (CRD42019139409).

scholarly journals Smartphone-Based Ecological Momentary Assessment of Well-Being: A Systematic Review and Recommendations for Future Studies

2020 ◽  
Author(s):  
Lianne P. de Vries ◽  
Bart M. L. Baselmans ◽  
Meike Bartels
Keyword(s):  
Systematic Review ◽  
Data Collection ◽  
Ecological Momentary Assessment ◽  
Meta Analysis ◽  
Well Being ◽  
Objective Data ◽  
Technological Advances ◽  
Flexible Designs ◽  
Ecological Momentary ◽  
Momentary Assessment

Abstract Feelings of well-being and happiness fluctuate over time and contexts. Ecological Momentary Assessment (EMA) studies can capture fluctuations in momentary behavior, and experiences by assessing these multiple times per day. Traditionally, EMA was performed using pen and paper. Recently, due to technological advances EMA studies can be conducted more easily with smartphones, a device ubiquitous in our society. The goal of this review was to evaluate the literature on smartphone-based EMA in well-being research in healthy subjects. The systematic review was conducted according to the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines. Searching PubMed and Web of Science, we identified 53 studies using smartphone-based EMA of well-being. Studies were heterogeneous in designs, context, and measures. The average study duration was 12.8 days, with well-being assessed 2–12 times per day. Half of the studies included objective data (e.g. location). Only 47.2% reported compliance, indicating a mean of 71.6%. Well-being fluctuated daily and weekly, with higher well-being in evenings and weekends. These fluctuations disappeared when location and activity were accounted for. On average, being in nature and physical activity relates to higher well-being. Working relates to lower well-being, but workplace and company do influence well-being. The important advantages of using smartphones instead of other devices to collect EMAs are the easier data collection and flexible designs. Smartphone-based EMA reach far larger maximum sample sizes and more easily add objective data to their designs than palm-top/PDA studies. Smartphone-based EMA research is feasible to gain insight in well-being fluctuations and its determinants and offers the opportunity for parallel objective data collection. Most studies currently focus on group comparisons, while studies on individual differences in well-being patterns and fluctuations are lacking. We provide recommendations for future smartphone-based EMA research regarding measures, objective data and analyses.

Using Personal Cell Phones for Ecological Momentary Assessment

2013 ◽  
Vol 18 (1) ◽  
pp. 3-11 ◽  
Author(s):  
Emmanuel Kuntsche ◽  
Florian Labhart
Keyword(s):  
Data Collection ◽  
Ecological Momentary Assessment ◽  
Communication Systems ◽  
Cell Phones ◽  
Personal Digital Assistants ◽  
Natural Environments ◽  
Mobility Patterns ◽  
Standard Data ◽  
Ecological Momentary ◽  
Momentary Assessment

Ecological Momentary Assessment (EMA) is a way of collecting data in people’s natural environments in real time and has become very popular in social and health sciences. The emergence of personal digital assistants has led to more complex and sophisticated EMA protocols but has also highlighted some important drawbacks. Modern cell phones combine the functionalities of advanced communication systems with those of a handheld computer and offer various additional features to capture and record sound, pictures, locations, and movements. Moreover, most people own a cell phone, are familiar with the different functions, and always carry it with them. This paper describes ways in which cell phones have been used for data collection purposes in the field of social sciences. This includes automated data capture techniques, for example, geolocation for the study of mobility patterns and the use of external sensors for remote health-monitoring research. The paper also describes cell phones as efficient and user-friendly tools for prompt manual data collection, that is, by asking participants to produce or to provide data. This can either be done by means of dedicated applications or by simply using the web browser. We conclude that cell phones offer a variety of advantages and have a great deal of potential for innovative research designs, suggesting they will be among the standard data collection devices for EMA in the coming years.

824-P: Ecological Momentary Assessment of Diabetes Self-Management: A Systematic Review of Methods and Procedures

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 824-P
Author(s):  
SOOHYUN NAM ◽  
ROBIN WHITTEMORE ◽  
DAVID VLAHOV ◽  
GENEVIEVE DUNTON
Keyword(s):  
Systematic Review ◽  
Ecological Momentary Assessment ◽  
Self Management ◽  
Ecological Momentary ◽  
Momentary Assessment

scholarly journals Systematic review of the factors affecting cat and dog owner compliance with pharmaceutical treatment recommendations

2018 ◽  
Vol 184 (5) ◽  
pp. 154-154 ◽  
Author(s):  
Kathryn Jennifer Wareham ◽  
Marnie Louise Brennan ◽  
Rachel S Dean
Keyword(s):  
Systematic Review ◽  
Data Extraction ◽  
Relevant Literature ◽  
Evidence Base ◽  
Treatment Recommendations ◽  
Social Risk ◽  
Dosing Regimen ◽  
Pharmaceutical Treatment ◽  
Level Of Evidence ◽  
Factors Affecting

The aim of this systematic review is to describe and assess the quality of the existing evidence base concerning factors that influence the compliance of cat and dog owners to pharmaceutical and specifically polypharmacy treatment recommendations. PubMed, CAB Abstracts and Google were searched to identify relevant literature and search results were filtered according to predetermined inclusion and exclusion criteria. Standardised data extraction and critical appraisal were carried out on each included study, and a Centre for Evidence-Based Medicine level of evidence grading was applied. Of the 8589 studies, eight studies were included in the review. Majority (five of eight) of the included studies were examining compliance with short-term antimicrobial therapies and none examined polypharmacy. Multiple definitions of compliance, methods of measurement and different factors potentially affecting compliance were used. Factors reported to have affected compliance in at least one study were dosing regimen, discussion of dosing regimen in light of owners’ circumstances, consultation time, disease, month of consultation/treatment, physical risk, social risk and method of administration. The evidence available regarding factors affecting client compliance with pharmaceutical treatment recommendations in cats and dogs is scarce and of poor quality.

scholarly journals A Systematic Review of Ecological Momentary Assessment of Diet: Implications and Perspectives for Nutritional Epidemiology

Nutrients ◽  
2019 ◽  
Vol 11 (11) ◽  
pp. 2696 ◽  
Author(s):  
Andrea Maugeri ◽  
Martina Barchitta
Keyword(s):  
Systematic Review ◽  
Ecological Momentary Assessment ◽  
Eating Behaviors ◽  
Dietary Habits ◽  
Contextual Information ◽  
Dietary Assessment ◽  
Nutritional Epidemiology ◽  
Future Research ◽  
Ecological Momentary ◽  
Momentary Assessment

The ecological momentary assessment (EMA) of eating behaviors represents an innovative, detailed and valid approach to capture the complexity of food intake and to overcome limitations of traditional dietary assessment methods. Moreover, EMA studies might generate a large variety of data (e.g., dietary, behavioral, physical, sociopsychological, and contextual information), thereby enabling to examine concurrent exposures and events. Due to the increasing number of studies in this field of research, here we systematically reviewed EMA methods for the assessment of dietary intake in epidemiological studies, and discussed implications and perspectives for future research. Our study summarized several protocols and platforms that may be applied to assess diet in terms of eating frequency, choices, and habits. Nearly 38% of studies used an event-contingent strategy by asking participants to report foods and beverages consumed in real-time at each eating occasion. Instead, approximately 55% of studies used a signal-contingent prompting approach that notified the participants to record their dietary consumption. The remaining studies used a combination of event- and signal-contingent protocols to compare their accuracy or to improve the assessment of dietary data. Although both approaches might improve the accuracy and ecological validity of dietary assessment—also reducing the burden for participants—some limitations should nevertheless be considered. Despite these limitations, our systematic review pointed out that EMA can be applied in various fields of nutritional epidemiology, from the identification of determinants of dietary habits in healthy people to the management of patients with eating or metabolic disorders. However, more efforts should be encouraged to improve the validity and the reliability of EMA and to provide further technological innovations for public health research and interventions.

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