scholarly journals Maternal parenting styles and ecological momentary assessment of maternal feeding practices and child food intake across middle childhood to early adolescence

2020 ◽  
Vol 15 (10) ◽  
Author(s):  
Tyler B. Mason ◽  
Kathryn E. Smith ◽  
Genevieve F. Dunton
Keyword(s):  
Food Intake ◽  
Parenting Styles ◽  
Early Adolescence ◽  
Middle Childhood ◽  
Ecological Momentary Assessment ◽  
Feeding Practices ◽  
Maternal Parenting ◽  
Maternal Feeding Practices ◽  
Ecological Momentary ◽  
Momentary Assessment

scholarly journals Comparison of Geographic Information System and Subjective Assessments of Momentary Food Environments as Predictors of Food Intake: An Ecological Momentary Assessment Study (Preprint)

2019 ◽  
Author(s):  
Katherine G Elliston ◽  
Benjamin Schüz ◽  
Tim Albion ◽  
Stuart G Ferguson
Keyword(s):  
Information System ◽  
Food Intake ◽  
Ecological Momentary Assessment ◽  
Food Environment ◽  
The Self ◽  
Food Environments ◽  
Food Outlets ◽  
Ecological Momentary ◽  
Mhealth Apps ◽  
Momentary Assessment

BACKGROUND It has been observed that eating is influenced by the presence and availability of food. Being aware of the presence of food in the environment may enable mobile health (mHealth) apps to use geofencing techniques to determine the most appropriate time to proactively deliver interventions. To date, however, studies on eating typically rely on self-reports of environmental contexts, which may not be accurate or feasible for issuing mHealth interventions. OBJECTIVE This study aimed to compare the subjective and geographic information system (GIS) assessments of the momentary food environment to explore the feasibility of using GIS data to predict eating behavior and inform geofenced interventions. METHODS In total, 72 participants recorded their food intake in real-time for 14 days using an ecological momentary assessment approach. Participants logged their food intake and responded to approximately 5 randomly timed assessments each day. During each assessment, the participants reported the number and type of food outlets nearby. Their electronic diaries simultaneously recorded their GPS coordinates. The GPS data were later overlaid with a GIS map of food outlets to produce an objective count of the number of food outlets within 50 m of the participant. RESULTS Correlations between self-reported and GIS counts of food outlets within 50 m were only of a small size (<i>r</i>=0.17; <i>P</i>&lt;.001). Logistic regression analyses revealed that the GIS count significantly predicted eating similar to the self-reported counts (area under the curve for the receiver operating characteristic curve [AUC-ROC] self-report=0.53, SE 0.00 versus AUC-ROC 50 m GIS=0.53, SE 0.00; <i>P</i>=.41). However, there was a significant difference between the GIS-derived and self-reported counts of food outlets and the self-reported type of food outlets (AUC-ROC self-reported outlet type=0.56, SE 0.01; <i>P</i>&lt;.001). CONCLUSIONS The subjective food environment appears to predict eating better than objectively measured food environments via GIS. mHealth apps may need to consider the type of food outlets rather than the raw number of outlets in an individual’s environment.

Are commonly used proxy measures of food value and motivation predictive of self-reported real-world snacking? An ecological momentary assessment study

2021 ◽  
Author(s):  
Sarah Masterton ◽  
Charlotte Hardman ◽  
Emma Boyland ◽  
Eric Robinson ◽  
Harriet Makin ◽  
...  
Keyword(s):  
Food Intake ◽  
Food Consumption ◽  
Real World ◽  
Ecological Momentary Assessment ◽  
Alternative Assessment ◽  
Eating Behaviour ◽  
Snack Food ◽  
Ecological Momentary ◽  
Momentary Assessment ◽  
Food Value

While the assessment of actual food intake is essential in the evaluation of behaviour change interventions for weight-loss, it may not always be feasible to collect this information within traditional experimental paradigms. For this reason, proxy measures of food intake (such as measures of food value and choice) are often used as more accessible alternatives. However, the predictive validity of these measures (in relation to subsequent food consumption) has not yet been studied. Using an Ecological Momentary Assessment design, our aim was to investigate the extent to which three commonly used proxy measures of snack food intake (explicit food value, unhealthy food choice and implicit preference) predicted self-reported real-world snacking occasions over a 7-day study period. Our findings demonstrated that none of the proxy measures significantly predicted self-reported healthy or unhealthy snacking occasions, or the number of unhealthy portions consumed by participants. These findings raise questions in relation to the association between proxy measures and self-reported real-world snack food consumption. Future research should further evaluate the predictive and construct validity of proxy measures in relation to food behaviours and explore the development of alternative assessment methods within eating behaviour research.

scholarly journals Associations between Daily Work Hassles and Energy-Balance Behaviors in Female African American Workers: An Ecological Momentary Assessment Study

2021 ◽  
Vol 31 (2) ◽  
pp. 177-186
Author(s):  
Ting-Ti Lin ◽  
Kelly K. Jones ◽  
Pamela Martyn-Nemeth ◽  
Shannon N. Zenk
Keyword(s):  
African American ◽  
Energy Balance ◽  
Food Intake ◽  
Sedentary Behavior ◽  
Sleep Duration ◽  
Ecological Momentary Assessment ◽  
Convenience Sample ◽  
Daily Work ◽  
Ecological Momentary ◽  
Momentary Assessment

Objective: Despite their high rate of labor force participation, African American women earn less and are overrepresented in service jobs that tend to have fewer benefits, longer work hours, and less flex­ibility. The aim of our study was to examine associations between work-related daily has­sles and energy balance behaviors among female African American workers.Design: A secondary analysis of a 7-day intensive longitudinal study using ecological momentary assessment (EMA).Setting: Metropolitan area of Chicago, Illinois, United States; July 2012 through January 2013.Participants: A convenience sample of 70 female African American workers.Methods: EMA was used to collect informa­tion over seven days on work hassles and energy balance behaviors: empty calorie food intake; moderate-to-vigorous physical activity (MVPA); sedentary behavior; sleep duration; and sleep disturbance. Within-person associations between daily work hassles and each of these daily energy bal­ance behaviors were analyzed using person fixed-effects regression.Results: A total of 334 person-day observa­tions from 70 female African American workers were included in the final analysis. Reporting at least one daily work hassle was associated with same-day higher empty calorie food intake (OR: 2.2, 95% CI: 1.0, 4.6) and more daily minutes of sedentary behavior (b: 35.8, 95% CI; .2, 71.3). How­ever, no significant associations were found between prior-day work hassles and either food intake or sedentary behavior. Daily work hassles were not related to MVPA, sleep duration, or sleep disturbance.Conclusions: Our study showed that daily work hassles were associated with female African American workers’ empty calo­rie food intake and sedentary behaviors. Strategies to eliminate daily work hassles may help to improve their energy balance behaviors. Ethn Dis. 2021;31(2):177-186; doi:10.18865/ed.31.2.177

scholarly journals Ecological momentary assessment of environmental and personal factors and snack food intake in African American women

Appetite ◽  
2014 ◽  
Vol 83 ◽  
pp. 333-341 ◽  
Author(s):  
Shannon N. Zenk ◽  
Irina Horoi ◽  
Ashley McDonald ◽  
Colleen Corte ◽  
Barth Riley ◽  
...  
Keyword(s):  
African American ◽  
Food Intake ◽  
African American Women ◽  
Ecological Momentary Assessment ◽  
Snack Food ◽  
Personal Factors ◽  
American Women ◽  
Ecological Momentary ◽  
Momentary Assessment

scholarly journals Describing Ecological Momentary Assessment Methods for Collecting Dietary Intake in a Racially/Ethnically Diverse Sample

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 886-886
Author(s):  
Amanda Trofholz ◽  
Jerica !Berge
Keyword(s):  
Physical Activity ◽  
Dietary Intake ◽  
Low Income ◽  
Ecological Momentary Assessment ◽  
Ethnically Diverse ◽  
Feeding Practices ◽  
Parent Feeding Practices ◽  
Ecological Momentary ◽  
Parent Feeding ◽  
Momentary Assessment

Abstract Objectives Ecological momentary assessment (EMA) is an innovative tool being used in the obesity field to capture real-time information about people's health. A recent systematic review regarding the use of EMA to assess dietary intake and physical activity in youth found the need for standardized reporting of EMA measures and methods. This presentation will discuss EMA methods used in the NIH-funded Family Matters study, including survey design, registration/technology, EMA protocols, implementation, and lessons learned for future EMA studies. Methods Family Matters is an incremental, two-phased (Phase I = 150 participants; Phase II = 627 participants), mixed-methods study conducted with a racially/ethnically diverse and immigrant/refugee sample from largely low-income households. Across two phases, the Family Matters research team designed and administered EMA surveys to parents of 5–9 year olds to measure momentary factors of importance to child weight and weight-related behaviors including parent feeding practices, child eating behaviors, meal preparation, and foods served at family meals. Results EMA data allowed for many cutting-edge research questions to be addressed, innovative analyses to be run, and methodological approaches to be advanced. Many diet-related topics were investigated, including 1) the investigation of both within-and across-day relationships between transient and chronic stress and parent feeding practices; 2) parental stress and mood earlier in the day and its association with parent feeding practices later in the day; and 3) family meal characteristics by meal type and day of the week. Additionally, concordance between diet-related EMA measures and objectively collected 24-hour dietary recalls was examined. Family Matters EMA diet-related measures will be presented and related results discussed. Conclusions This presentation will be valuable for researchers interested in using EMA for collecting obesity-related measures, such as dietary intake, physical activity, parent feeding practices, and stress/mood. Funding Sources Research is supported by grant number R01HL126171 from the National Heart, Lung, and Blood Institute (PI: Berge).

scholarly journals Comparison of Geographic Information System and Subjective Assessments of Momentary Food Environments as Predictors of Food Intake: An Ecological Momentary Assessment Study

10.2196/15948 ◽  
2020 ◽  
Vol 8 (7) ◽  
pp. e15948
Author(s):  
Katherine G Elliston ◽  
Benjamin Schüz ◽  
Tim Albion ◽  
Stuart G Ferguson
Keyword(s):  
Information System ◽  
Food Intake ◽  
Ecological Momentary Assessment ◽  
Food Environment ◽  
The Self ◽  
Food Environments ◽  
Food Outlets ◽  
Ecological Momentary ◽  
Mhealth Apps ◽  
Momentary Assessment

Background It has been observed that eating is influenced by the presence and availability of food. Being aware of the presence of food in the environment may enable mobile health (mHealth) apps to use geofencing techniques to determine the most appropriate time to proactively deliver interventions. To date, however, studies on eating typically rely on self-reports of environmental contexts, which may not be accurate or feasible for issuing mHealth interventions. Objective This study aimed to compare the subjective and geographic information system (GIS) assessments of the momentary food environment to explore the feasibility of using GIS data to predict eating behavior and inform geofenced interventions. Methods In total, 72 participants recorded their food intake in real-time for 14 days using an ecological momentary assessment approach. Participants logged their food intake and responded to approximately 5 randomly timed assessments each day. During each assessment, the participants reported the number and type of food outlets nearby. Their electronic diaries simultaneously recorded their GPS coordinates. The GPS data were later overlaid with a GIS map of food outlets to produce an objective count of the number of food outlets within 50 m of the participant. Results Correlations between self-reported and GIS counts of food outlets within 50 m were only of a small size (r=0.17; P<.001). Logistic regression analyses revealed that the GIS count significantly predicted eating similar to the self-reported counts (area under the curve for the receiver operating characteristic curve [AUC-ROC] self-report=0.53, SE 0.00 versus AUC-ROC 50 m GIS=0.53, SE 0.00; P=.41). However, there was a significant difference between the GIS-derived and self-reported counts of food outlets and the self-reported type of food outlets (AUC-ROC self-reported outlet type=0.56, SE 0.01; P<.001). Conclusions The subjective food environment appears to predict eating better than objectively measured food environments via GIS. mHealth apps may need to consider the type of food outlets rather than the raw number of outlets in an individual’s environment.

Emotionsregulation bei Depression

2013 ◽  
Vol 64 (4) ◽  
pp. 235-243 ◽  
Author(s):  
Sven Barnow ◽  
Maren Aldinger ◽  
Ines Ulrich ◽  
Malte Stopsack
Keyword(s):  
Ecological Momentary Assessment ◽  
Ecological Momentary ◽  
Momentary Assessment

Die Anzahl der Studien, die sich mit dem Zusammenhang zwischen Emotionsregulation (ER) und depressiven Störungen befassen, steigt. In diesem Review werden Studien zusammengefasst und metaanalytisch ausgewertet, die den Zusammenhang zwischen ER und Depression mittels Fragebögen bzw. Ecological Momentary Assessment (EMA) erfassen. Dabei zeigt sich ein ER-Profil welches durch die vermehrte Nutzung von Rumination, Suppression und Vermeidung bei gleichzeitig seltenerem Einsatz von Neubewertung und Problemlösen gekennzeichnet ist. Mit mittleren bis großen Effekten, ist der Zusammenhang zwischen Depression und maladaptiven Strategien besser belegt als bei den adaptiven Formen, wo die Effekte eher moderat ausfielen. EMA-Messungen bestätigen dieses Profil. Da EMA-Studien neben der Häufigkeit des Strategieeinsatzes auch die Erfassung anderer ER-Parameter wie Effektivität und Flexibilität ermöglichen, sollten solche Designs in der ER-Forschung zukünftig vermehrt Einsatz finden.

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.

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