scholarly journals Concordance and predictors of concordance of children’s dietary intake as reported via ecological momentary assessment and 24 h recall

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.

2020 ◽  
Vol 23 (15) ◽  
pp. 2728-2736
Author(s):  
Rachel Wirthlin ◽  
Jennifer A Linde ◽  
Amanda Trofholz ◽  
Allan Tate ◽  
Katie Loth ◽  
...  

AbstractObjective:This study is a secondary data analysis that examines the association between parent modelling of dietary intake and physical activity and the same child behaviours among different races/ethnicities using innovative, rigorous and objective measures.Design:Ecological momentary assessment surveys were sent to parents to assess whether their child had seen them exercise or consume food. Dietary recall data and accelerometry were used to determine dietary intake and physical activity behaviours of children.Setting:Participants were randomly selected from primary care clinics, serving low-income and racially/ethnically diverse families in Minnesota, USA.Participants:Participants were families with children aged 5–7 years old who lived with parents 50 % of the time and shared at least one meal together.Results:A 10 percentage point higher prevalence in parent modelling of fruit and vegetable intake was associated with 0·12 higher serving intake of those same foods in children. The prevalence of parent modelling of eating energy dense foods (10 % prevalence units) was associated with 0·09 higher serving intake of sugar-sweetened beverages. Furthermore, accelerometry-measured parent sedentary hours was strongly correlated with child sedentary time (0·37 child sedentary hours per parent sedentary hours). An exploratory interaction analysis did not reveal any statistical evidence that these relationships depended on the child’s race/ethnic background.Conclusions:Interventions that increase parent modelling of healthy eating and minimise modelling of energy dense foods may have favourable effects on child dietary quality. Additionally, future research is needed to clarify the associations of parent modelling of physical activity and children’s physical activity levels.


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.


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. 


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.


2019 ◽  
Vol 23 (2) ◽  
pp. 309-322 ◽  
Author(s):  
Jussi Jylkkä ◽  
Anna Soveri ◽  
Matti Laine ◽  
Minna Lehtonen

AbstractThe putative bilingual executive advantage has been argued to stem from lifelong experience with executively demanding language behaviors, such as switching between the two languages. However, studies testing for possible associations between language switching frequency and EF in bilinguals have yielded inconsistent results. One reason for this could lie in the methods used that have evaluated the frequency and type of language switches with retrospective self-reports, as well as in problems in reliability and convergent validity of the executive tasks. By using Ecological Momentary Assessment (EMA) as a reference point for self-reports of language switches, we examined the validity of general retrospective self-reports of language switching. Additionally, we examined associations between language switching and EF using multilevel models. Our results indicated that the commonly used retrospective self-reports of language switching may lack convergent validity. However, we found tentative evidence that contextual language switches, assessed with EMA, may be associated with better inhibitory control, set shifting, and working memory.


Author(s):  
Marjolein R. Thunnissen ◽  
Marije aan het Rot ◽  
Barbara J. van den Hoofdakker ◽  
Maaike H. Nauta

AbstractTraditionally, symptoms of youth psychopathology are assessed with questionnaires, clinical interviews, or laboratory observations. Ecological Momentary Assessment (EMA) could be a particularly valuable additional methodology, since EMA enables examining the daily lives of youths near real-time, considering fluctuations and specific contexts of symptoms. This systematic review aimed to review the characteristics of current EMA applications and to provide a synthesis of their potential in studying youth psychopathology. Following a systematic search in PsycInfo and Medline, we identified 50 studies in clinical samples. Most studies used EMA to examine fluctuations in symptoms, affect, and behavior, and the relation with contextual factors. EMA was also used to investigate interactions between parents and their children over time, and to monitor and predict treatment response. EMA appeared feasible in youth and could provide valuable insights that contribute to understanding youth psychopathology. Benefits, gaps, and suggestions for future research and clinical practice are discussed.


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