scholarly journals Geographic Imputation of Missing Activity Space Data from Ecological Momentary Assessment (EMA) GPS Positions

Author(s):  
Jeremy Mennis ◽  
Michael Mason ◽  
Donna L. Coffman ◽  
Kevin Henry

This research presents a pilot study to develop and compare methods of geographic imputation for estimating the location of missing activity space data collected using geographic ecological momentary assessment (GEMA). As a demonstration, we use data from a previously published analysis of the effect of neighborhood disadvantage, captured at the U.S. Census Bureau tract level, on momentary psychological stress among a sample of 137 urban adolescents. We investigate the impact of listwise deletion on model results and test two geographic imputation techniques adapted for activity space data from hot deck and centroid imputation approaches. Our results indicate that listwise deletion can bias estimates of place effects on health, and that these impacts are mitigated by the use of geographic imputation, particularly regarding inflation of the standard errors. These geographic imputation techniques may be extended in future research by incorporating approaches from the non-spatial imputation literature as well as from conventional geographic imputation and spatial interpolation research that focus on non-activity space data.

2021 ◽  
Author(s):  
Saeideh Heshmati ◽  
Zita Oravecz

Most assessments of well-being have relied on retrospective accounts, measured by global evaluative well-being scales. Following the recent debates focused on the assessment of hedonic and eudaimonic well-being based on the elements of the PERMA theory, the current study aimed to shed further light onto the measurement of PERMA elements in daily life and their temporal dynamics. Through an Ecological Momentary Assessment (EMA) design (N=160), we examined the dynamics of change (e.g., baselines and intra-individual variability) in the PERMA elements using the mPERMA measure, which is an EMA-adapted version of the PERMA Profiler. Findings revealed that momentary experiences of well-being, quantified via PERMA elements, map onto their corresponding hedonic or eudaimonic well-being components, and its dynamical features provide novel insights into predicting global well-being. This work offers avenues for future research to assess well-being in real-time and real-world contexts in ecologically valid ways, while eliminating recall bias.


Nutrients ◽  
2019 ◽  
Vol 11 (11) ◽  
pp. 2696 ◽  
Author(s):  
Andrea Maugeri ◽  
Martina Barchitta

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.


2018 ◽  
Vol 21 (6) ◽  
pp. 1019-1027 ◽  
Author(s):  
Sydney G O’Connor ◽  
Wangjing Ke ◽  
Eldin Dzubur ◽  
Susan Schembre ◽  
Genevieve F Dunton

AbstractObjectiveTo provide preliminary evidence in support of using ecological momentary assessment (EMA), a real-time data capture method involving repeated assessments, to measure dietary intake in children by examining the concordance of children’s dietary reports through EMA and 24 h recall.DesignChildren completed eight days of EMA surveys, reporting on recent dietary intake of four pre-specified food categories (‘Fruits or Vegetables’, ‘Chips or Fries’, ‘Pastries or Sweets’, ‘Soda or Energy Drinks’), and completed two 24 h recalls during the same period. Concordance of children’s reports of intake during matched two-hour time windows from EMA and 24 h dietary recall was assessed using cross-tabulation. Multilevel logistic regression examined potential person-level (i.e. sex, age, ethnicity and BMI category) predictors of concordance.SettingChildren in Los Angeles County, USA, enrolled in the Mothers’ and Their Children’s Health (MATCH) study.SubjectsOne hundred and forty-four 144 children (53 % female; mean age 9·6 (sd 0·9) years; 34·0 % overweight/obese).ResultsTwo-hour concordance varied by food category, ranging from 64·9 % for ‘Fruits/Vegetables’ to 89·9 % for ‘Soda/Energy Drinks’. In multilevel models, overweight/obese (v. lean) was associated with greater odds (OR; 95 % CI) of concordant reporting for ‘Soda/Energy Drinks’ (2·01; 1·06, 4·04) and ‘Pastries/Sweets’ (1·61; 1·03, 2·52). Odds of concordant reporting were higher for Hispanic (v. non-Hispanic) children for ‘Pastries/Sweets’ (1·55; 1·02, 2·36) and for girls (v. boys) for ‘Fruits/Vegetables’ (1·36; 1·01, 1·83).ConclusionsConcordance differed by food category as well as by person-level characteristics. Future research should continue to explore use of EMA to facilitate dietary assessment in children.


2019 ◽  
Vol 68 (5) ◽  
pp. 502-508 ◽  
Author(s):  
Brooke L. Bennett ◽  
Brooke L. Whisenhunt ◽  
Danae L. Hudson ◽  
Allison F. Wagner ◽  
Janet D. Latner ◽  
...  

PeerJ ◽  
2020 ◽  
Vol 8 ◽  
pp. e8848 ◽  
Author(s):  
Rafael Zapata-Lamana ◽  
Jaume F. Lalanza ◽  
Josep-Maria Losilla ◽  
Eva Parrado ◽  
Lluis Capdevila

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.


2019 ◽  
Vol 3 (1) ◽  
pp. 123
Author(s):  
Eric Sucitra ◽  
Samsunuwijati Mar’at ◽  
Sri Tiatri

Kanker adalah sebuah masalah medis serius yang memiliki dampak yang signifikan terhadap kualitas hidup penderita secara holistik, termasuk masalah kejiwaan yang mengarah pada gejala depresif. Negative inferential style, yakni sebuah gaya pikir yang cenderung memproses peristiwa hidup secara lebih negatif dari biasanya, diduga sebagai salah satu faktor yang memicu penderita kanker untuk mengembangkan gejala depresif. Studi ini bertujuan untuk memeriksa penerapan intervensi yang berfokus pada aspek kognitif individu dalam bentuk aktivitas gratitude journal untuk mengurangi gejala depresif partisipan. Penelitian ini juga menggunakan ecological momentary assessment untuk memeriksa fluktuasi mood depresif dalam partisipan. Enam partisipan wanita dengan berusia antara 35 sampai 56 tahun (x̅ = 44.83) dengan diagnosis kanker dan gejala depresif (skor BDI-II > 0) direkrut dan menyelesaikan aktivitas gratitude journal selama dua minggu. Uji statistik non-parametrik Wilcoxon Signed Rank Test dan Kruskall-Wallis Test dilakukan untuk menganalisis data. Studi ini juga melakukan analisis tematik dalam bentuk coding untuk menemukan protective factors terhadap depresi yang terkandung dalam gratitude journal. Studi ini tidak menemukan perbedaan bermakna pada skor pretest-posttest trait gratitude, namun menemukan penurunan skor yang signifikan pada gejala depresif. Terakhir, peneliti tidak menemukan adanya perbedaan bermakna dalam gejala depresif pada tiga kondisi waktu yang berbeda. Studi ini menunjukkan bahwa gratitude journal dapat digunakan sebagai jenis intervensi yang dapat mendampingi intervensi lain karena karakteristik aktivitasnya yang sederhana. Akan tetapi, masih dibutuhkan penelitian lebih lanjut yang memeriksa penerapan gratitude journal terhadap penderita depresi klinis sebelum konklusi mengenai efektivitas dari aktivitas gratitude journal dapat ditegakkan. Cancer is a group of medical diseases that has detrimental impacts on the sufferers’ quality of life holistically, which includes psychological issues that may lead them to heightened depressive symptoms. Negative inferential style, defined as the tendency to interpret or attribute negative life events in maladaptive ways, has been suggested to be a risk factor contributing to the development of depressive symptoms. The current study aimed to investigate the application of cognitive-based intervention in the form of gratitude journal to reduce depressive symptoms. In addition, the study was designed to explore the fluctuative depressive mood among cancer sufferers by utilizing ecological momentary assessment. Six partisipants with age range from 35 to 56 years old (x̅ = 44.83), with cancer diagnosis and depressive symptoms (BDI-II > 0) were recruited and completed gratitude journal activity for two weeks. Non-parametric statistical analyses in the form of Wilcoxon Signed Rank Test and Kruskall-Wallis Test were conducted to analyse the data. Findings showed no significant differences between gratitude trait pretest-posttest scores. In contrast, there were significant differences among depressive scores, indicating that the intervention helps to reduce depressive symptoms among cancer sufferers. It was further revealed that the analyses failed to find significant depressive symptoms’ differences among three different time points. The findings suggest that gratitude journal can be used as an effective side-intervention that complements other type of intervention to reduce depressive symptoms due to its “easy-to-do” nature. However, future research is necessary to establish its efficacy to treat individuals with more serious depressive symptoms. 


2020 ◽  
Author(s):  
Darlene Acorda ◽  
Michael Businelle ◽  
Diane Santa Maria

BACKGROUND Background: The use of ecological momentary assessment (EMA) to study youth experiencing homelessness (YEH) behaviors is an emerging area of research. Despite high rates of participation and potential clinical utility, few studies have investigated best practices and recommendations for EMA from the YEH perspective. OBJECTIVE This study aimed to describe the perceived benefits, usability, acceptability, and barriers to the use of EMA from the homeless youth perspective. METHODS YEH were recruited from a larger EMA study. Semi-structured exit interviews were performed using an interview guide that focused on the YEH experience with the EMA app, including perceived barriers and recommendations for future studies. Data analyses employed an inductive approach with thematic analysis to identify major themes and subthemes. RESULTS A total of 18 YEH aged 19-24 participated in individual and group exit interviews. EMA was highly acceptable to YEH and they found the app and survey easy to navigate. Perceived benefits included increased behavioral and emotional awareness with some YEH reporting a decrease in their high-risk behaviors as a result of participation. Another significant perceived benefit was the ability to use the phones for social support and make connections to family, friends, and potential employers. Barriers were primarily survey and technology related. Survey-related barriers included the redundancy of questions, the lack of customizable responses, and the timing of survey administration. Technology-related barriers included the “freezing” of the app, battery problems, and connectivity issues. Recommendations for future studies included the need to provide real-time mental health support for symptomatic youth, creating individually customized questions, and testing the use of personalized motivational messages that respond to the EMA data in real-time. CONCLUSIONS YEH are highly receptive to the use of EMA methodology. Further studies are warranted to assess whether participation improves behavior change. More research is needed to understand the impact of EMA on YEH behaviors. Incorporating the YEH perspective in the design and implementation of EMA studies may help minimize barriers, increase acceptability, and improve participation rates in this hard-to-reach, disconnected population.


2018 ◽  
Vol 16 (September) ◽  
Author(s):  
Victoria Lambert ◽  
Stuart Ferguson ◽  
Jeff Niederdeppe ◽  
David Hammond ◽  
James Hardin ◽  
...  

2019 ◽  
Author(s):  
Si Sun ◽  
Zhiguo Li ◽  
Chandramouli Maduri ◽  
Tian Hao ◽  
Xinxin Zhu

BACKGROUND Technology-enabled ecological momentary assessment (EMA) facilitates the calibration of physiological signals against self-reported data and contexts. However, research using this method rarely considers the impact that user experience (UX) has on the quality of data. OBJECTIVE The purpose of this study is to explore the biases that UX factors induce in self-reported data and physiological signals collected through EMA and the UX factors that have the largest impact on the data. METHODS A retrospective analysis on data from a field feasibility study is conducted. The study uses an application on a smartwatch device to measure heart rate variability (HRV) and collect self-reported stress levels. We collected data on event types, age, sex, personality traits, and engineered 66 UX features (e.g., number of screens viewed, perception of notification frequency). We use a series of random forest models, conditional forest models, linear regression models, and correlation analysis to predict self-reported stress, HRV, and their discrepancies. We then use iterated comparative analysis to confirm the effects of UX factors. RESULTS Analysis on 1240.6 hours of data from 29 participants reveal that self-reported stress is correlated with the HRV signal collected after EMA notification (HRV2) but not with the HRV signal collected before the notification (HRV1) or after user interaction starts (HRV3). UX factors explain 6.6% - 10% (P < .001) of the variation in self-reported stress. UX factors do not significantly predict HRV signals but explain 63.8% (P < .001) of the difference between self-reported stress and the HRV signal collected after the EMA notification. In addition, UX factors have a significant but smaller delayed effect on self-reported stress and HRV signals collected in the next user interaction cycle. In almost all models, UX features rank higher in terms of feature importance than the other confounding factors (i.e., age, sex, personality traits) and in some models rank higher than the main effect (i.e., event types). We discuss specific symptoms of UX-induced biases related to EMA instrument design and study design, mere measurement effect and observer effect, and propose topics of examination for future studies. CONCLUSIONS User experience may induce biases in data collected through technology-enabled EMA method. In some cases, the impact of the biases may be larger than that of the main effect, other confounding factors, and the corresponding data used for calibration.


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