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 ◽  
...  

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.

Appetite ◽  
2014 ◽  
Vol 83 ◽  
pp. 333-341 ◽  
Author(s):  
Shannon N. Zenk ◽  
Irina Horoi ◽  
Ashley McDonald ◽  
Colleen Corte ◽  
Barth Riley ◽  
...  

Author(s):  
Danielle Glista ◽  
Robin O’Hagan ◽  
Maaike Van Eeckhoutte ◽  
Yuanhao Lai ◽  
Susan Scollie

Author(s):  
Eric Granholm ◽  
Jason L Holden ◽  
Tanya Mikhael ◽  
Peter C Link ◽  
Joel Swendsen ◽  
...  

Abstract Schizophrenia is a major cause of disability worldwide. As new treatments for functioning are tested, the need grows to demonstrate real-world functioning gains. Ecological momentary assessment (EMA) may provide a more ecologically valid measure of functioning. In this study, smartphone-based EMA was used to signal participants with schizophrenia (N = 100) and controls (N = 71) 7 times a day for 7 days to respond to brief questionnaires about social interactions and functioning behaviors. Excellent adherence was found, with both groups completing an average of 85% of surveys and only 3% of participants with schizophrenia excluded for poor adherence. Four-week test–retest reliability was high (r = .83 for total productive behaviors). Relative to controls, participants with schizophrenia reported significantly less total productive activity (d = 1.2), fewer social interactions (d = 0.3), more nonproductive behaviors (d = 1.0; watching TV, resting), and more time at home (d = 0.8). Within the schizophrenia group, participants living independently showed better functioning on EMA relative to participants in supported housing (d = 0.8) and participants engaged in vocational activities showed better functioning than individuals not engaged in vocational activities (d = 0.55). Modest correlations were found between EMA and an in-lab self-report measure of functioning activities performed in the community, but not between EMA and measures of functional capacity or potential. This study demonstrated the feasibility, sensitivity reliability, and validity of EMA methods to assess functioning in schizophrenia. EMA provides a much-needed measure of what individuals with schizophrenia are actually doing in real-world contexts. These results also suggest that there may be important disjunctions between indices of abilities and actual real-world functioning.


2019 ◽  
Author(s):  
Katherine G Elliston ◽  
Benjamin Schüz ◽  
Tim Albion ◽  
Stuart G Ferguson

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.


Author(s):  
Javier-David Lopez-Morinigo ◽  
María Luisa Barrigón ◽  
Alejandro Porras-Segovia ◽  
Verónica González Ruiz-Ruano ◽  
Adela Sánchez Escribano Martínez ◽  
...  

2020 ◽  
Vol 46 (Supplement_1) ◽  
pp. S222-S222
Author(s):  
Zanjbeel Mahmood ◽  
Elizabeth Twamley ◽  
Jason Holden ◽  
Phillip D Harvey ◽  
Eric Granholm

Abstract Background Neurocognitive and functional heterogeneity is common in schizophrenia (SZ), and functioning is notoriously difficult to measure. Ecological Momentary Assessment (EMA) may help overcome the retrospective recall and subjective biases associated with standard self-report measures; however, how EMA-measured real-world functioning indicators align with other neurocognitive and functional capacity indicators is not well established. The current study aimed to characterize individuals with schizophrenia-spectrum disorders based upon their objective global neurocognitive functioning and functional capacity, and examine differences in EMA-measured functioning. Methods The study included 100 outpatient, English-speaking adults with SZ (n=82) or schizoaffective disorder (n=18). All participants completed EMA surveys administered at stratified random intervals 7 times per day for 7 days to assess self-rated proficiency in performing activities within home-care, self-care, leisure, work/school, and treatment engagement dimensions, as well as need for assistance/prompting to complete the tasks. Moreover, participants completed an in-lab comprehensive neuropsychological assessment battery (MATRICS Consensus Cognitive Battery) and a performance-based measure of functional capacity (UCSD Performance-Based Skills Assessment-Brief [UPSA-B]). Latent profile analyses (LPA) were used to derive categorical latent variables that represent profiles of individuals who have similar global neurocognitive functioning and UPSA-B performance. The optimal number of profiles for the sample was determined by evaluating models using the Akaike information criteria (AIC; Akaike, 1974), sample size-adjusted Bayesian information criteria (sBIC; Schwarz, 1978), and the Lo–Mendell–Rubin Adjusted Likelihood Ratio Test (LMRT; Lo, Mendell, & Rubin, 2001). Independent samples t-tests were used to examine group differences between the identified latent profile groups on EMA-reported outcomes. Results LPA identified a 2-profile solution with the best fit; participants in profile 1 (n=43) demonstrated mild-to-moderate global cognitive impairment and lower UPSA-B scores (Low functioning; LF), whereas participants in profile 2 (n=57) demonstrated average cognitive functioning and higher UPSA-B performance (High functioning; HF). The groups did not significantly differ on number of EMA surveys answered (p=.12). Compared to the HF group, the LF group reported poorer proficiency in overall reported activities (p=.001), which was driven by lower reported proficiency in home-care, self-care, and leisure activities (ps&lt;.003). Compared to the HF group, the LF group also indicated requiring more assistance and/or prompting in performing productive activities (p=.02), specifically within the life domains of home-care, self-care, and in-home leisure activities (ps&lt;.03). Discussion Compared to HF participants, LF participants rated their performance in activities within various life dimensions as less proficient and reported receiving greater assistance and/or prompting to do the activities. Future research should investigate the utility of the EMA paradigm to provide psychosocial interventions that appreciate the role of cognition and functional capacity in daily functioning.


2021 ◽  
Vol 31 (2) ◽  
pp. 177-186
Author(s):  
Ting-Ti Lin ◽  
Kelly K. Jones ◽  
Pamela Martyn-Nemeth ◽  
Shannon N. Zenk

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


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