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

Maugeri, Andrea; Barchitta, Martina

doi:10.3390/nu11112696

Cited by 111Nutritional Studies and DietMental Health Research TopicsNutrition, Health and Food Behavior

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

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Maugeri, Andrea, Barchitta, Martina·2019·Nutrients

DOI 10.3390/nu11112696PMC PMC6893429

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Abstract

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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Triangulating dietary data with data from wearable tech, mobile apps, school canteen sales data, ecological momentary assessment, direct observation, and proxy reports can provide insights into behaviour changes.
“Triangulating this data with data from wearable tech, mobile apps, and school canteen sales data, ecological momentary assessment (EMA) for real-time data collection, direct observation of adolescents’ eating behaviours, and proxy reports from family members can provide insights into behaviour changes [70–76].”
From School-based healthy eating interventions for adolescents aged 10–19 years: an umbrella review (2024) · cites this paper as [72]

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Richard, A., Meule, A., & Blechert, J. (2019) · Eating Behaviors · doi:10.1016/j.eatbeh.2019.01.006 · Cited by 22 · see citing works
Adherence to self-monitoring healthy lifestyle behaviours through mobile phone-based ecological momentary assessments and photographic food records over 6 months in mostly ethnic minority mothers
Comulada, W. S., Swendeman, D. T., Koussa, M., Mindry, D. L., Medich, M., Estrin, D. L., Mercer, N., & Ramanathan, N. (2017) · Public Health Nutrition · doi:10.1017/s1368980017003044 · Cited by 20 · see citing works
Ecological Momentary Assessment of the Breakfast, Lunch, and Dinner Family Meal Environment in Racially/Ethnically Diverse and Immigrant Households
Berge, J. M., Meister, M. L., Smith, M., Tate, A. D., Trofholz, A. C., & Loth, K. A. (2019) · Journal of Nutrition Education and Behavior · doi:10.1016/j.jneb.2019.03.002 · Cited by 20 · see citing works
Physical activity of people with mental disorders compared to the general population: a systematic review of longitudinal cohort studies
Suetani, S., Stubbs, B., McGrath, J. J., & Scott, J. G. (2019) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-019-01760-4 · Cited by 18 · see citing works
Factors in the home environment associated with toddler diet: an ecological momentary assessment study
Campbell, K. L., Babiarz, A., Wang, Y., Tilton, N., Black, M. M., & Hager, E. R. (2018) · Public Health Nutrition · doi:10.1017/s1368980018000186 · Cited by 17 · see citing works
Assessing Energy Intake in Daily Life: Signal-Contingent Smartphone Application Versus Event-Contingent Paper and Pencil Estimated Diet Diary
Wouters, S., Thewissen, V., Duif, M., Lechner, L., & Jacobs, N. (2016) · Psychologica Belgica · doi:10.5334/pb.339 · Cited by 14 · see citing works
The SNAPSHOT study protocol: SNAcking, Physical activity, Self-regulation, and Heart rate Over Time
McMinn, D., & Allan, J. (2014) · BMC Public Health · doi:10.1186/1471-2458-14-1006 · Cited by 8 · see citing works
Using Ecological Momentary Assessment to Track Goal Progress Toward the Adoption of a Low Glycemic Index Diet Among Adults With Type 2 Diabetes
Miller, C. K., Weinhold, K. R., & Mitchell, D. C. (2016) · Topics in Clinical Nutrition · doi:10.1097/tin.0000000000000083 · Cited by 7 · see citing works
Identifying Behaviors Predicting Early Morning Emotions by Observing Permanent Supportive Housing Residents: An Ecological Momentary Assessment
Nandy, R. R., Nandy, K., Hébert, E. T., Businelle, M. S., & Walters, S. T. (2018) · JMIR Mental Health · doi:10.2196/10186 · Cited by 7 · see citing works

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Understanding health behaviours in context: A systematic review and meta-analysis of ecological momentary assessment studies of five key health behaviours
Perski, O., Keller, J., Kale, D., Asiamah-Asare, B. K. Y., Schneider, V., Powell, D., Naughton, F., ten Hoor, G. A., Verboon, P., & Kwaśnicka, D. (2022) · Health Psychology Review · doi:10.1080/17437199.2022.2112258 · Cited by 107 · see citing works
Advancing Food Allergy Through Epidemiology: Understanding and Addressing Disparities in Food Allergy Management and Outcomes
Warren, C. M., Turner, P., Chinthrajah, R. S., & Gupta, R. S. (2020) · The Journal of Allergy and Clinical Immunology In Practice · doi:10.1016/j.jaip.2020.09.064 · Cited by 67 · see citing works
Maternal Dietary Patterns Are Associated with Pre-Pregnancy Body Mass Index and Gestational Weight Gain: Results from the “Mamma & Bambino” Cohort
Maugeri, A., Barchitta, M., Favara, G., Rosa, M. C. L., Mastra, C. L., Lio, R. M. S., & Agodi, A. (2019) · Nutrients · doi:10.3390/nu11061308 · Cited by 67 · see citing works
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How Dietary Factors Affect DNA Methylation: Lesson from Epidemiological Studies
Maugeri, A., & Barchitta, M. (2020) · Medicina · doi:10.3390/medicina56080374 · Cited by 61 · see citing works
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Applying a hierarchical clustering on principal components approach to identify different patterns of the SARS-CoV-2 epidemic across Italian regions
Maugeri, A., Barchitta, M., Basile, G., & Agodi, A. (2021) · Scientific Reports · doi:10.1038/s41598-021-86703-3 · Cited by 59 · see citing works
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Occurrence of and Reasons for “Missing Events” in Mobile Dietary Assessments: Results From Three Event-Based Ecological Momentary Assessment Studies
Ziesemer, K., König, L. M., Boushey, C. J., Villinger, K., Wahl, D. R., Butscher, S., Müller, J., Reiterer, H., Schupp, H. T., & Renner, B. (2020) · JMIR mhealth and uhealth · doi:10.2196/15430 · Cited by 47 · see citing works
Contributions of Emotional Overload, Emotion Dysregulation, and Impulsivity to Eating Patterns in Obese Patients with Binge Eating Disorder and Seeking Bariatric Surgery
Benzerouk, F., Djerada, Z., Bertin, É., Barrière, S., Gierski, F., & Kaladjian, A. (2020) · Nutrients · doi:10.3390/nu12103099 · Cited by 48 · see citing works
School-based healthy eating interventions for adolescents aged 10–19 years: an umbrella review
Samad, N., Bearne, L., Noor, F. M., Akter, F., & Parmar, D. (2024) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-024-01668-6 · Cited by 41 · see citing works
Future Directions for Integrative Objective Assessment of Eating Using Wearable Sensing Technology
Skinner, A., Toumpakari, Z., Stone, C., & Johnson, L. (2020) · Frontiers in Nutrition · doi:10.3389/fnut.2020.00080 · Cited by 36 · see citing works
Systematic review of ecological momentary assessment (EMA) studies of five public health-related behaviours: review protocol
Kwaśnicka, D., Kale, D., Schneider, V., Keller, J., Asiamah-Asare, B. K. Y., Powell, D., Naughton, F., ten Hoor, G. A., Verboon, P., & Perski, O. (2021) · BMJ Open · doi:10.1136/bmjopen-2020-046435 · Cited by 36 · see citing works
Characteristics of smartphone-based dietary assessment tools: a systematic review
König, L. M., Emmenis, M. V., Nurmi, J., Kassavou, A., & Sutton, S. R. (2021) · Health Psychology Review · doi:10.1080/17437199.2021.2016066 · Cited by 39 · see citing works
The dynamic network associations of food craving, restrained eating, hunger and negative emotions
Dicker‐Oren, S. D., Gelkopf, M., & Greene, T. (2022) · Appetite · doi:10.1016/j.appet.2022.106019 · Cited by 35 · see citing works
The Application of Clustering on Principal Components for Nutritional Epidemiology: A Workflow to Derive Dietary Patterns
Maugeri, A., Barchitta, M., Favara, G., Mastra, C. L., Rosa, M. C. L., Lio, R. M. S., & Agodi, A. (2022) · Nutrients · doi:10.3390/nu15010195 · Cited by 35 · see citing works
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How Wearable Sensors Can Support the Research on Foetal and Pregnancy Outcomes: A Scoping Review
Maugeri, A., Barchitta, M., & Agodi, A. (2023) · Journal of Personalized Medicine · doi:10.3390/jpm13020218 · Cited by 40 · see citing works
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The Effect of Alcohol on Telomere Length: A Systematic Review of Epidemiological Evidence and a Pilot Study during Pregnancy
Maugeri, A., Barchitta, M., Lio, R. M. S., Rosa, M. C. L., Mastra, C. L., Favara, G., Ferlito, M., Giunta, G., Panella, M. M., Cianci, A., et al. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18095038 · Cited by 34 · see citing works
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Healthy eating in the wild: An experience-sampling study of how food environments and situational factors shape out-of-home dietary success
Bauer, J. M., Nielsen, K. S., Hofmann, W., & Reisch, L. A. (2022) · Social Science & Medicine · doi:10.1016/j.socscimed.2022.114869 · Cited by 33 · see citing works
Development of a Web-App for the Ecological Momentary Assessment of Dietary Habits among College Students: The HEALTHY-UNICT Project
Barchitta, M., Maugeri, A., Favara, G., Lio, R. M. S., Riela, P. M., Guarnera, L., Battiato, S., & Agodi, A. (2022) · Nutrients · doi:10.3390/nu14020330 · Cited by 27 · see citing works
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Momentary Physical Activity Co-Occurs with Healthy and Unhealthy Dietary Intake in African American College Freshmen
Maher, J. P., Harduk, M., Hevel, D. J., Adams, W. M., & McGuirt, J. T. (2020) · Nutrients · doi:10.3390/nu12051360 · Cited by 26 · see citing works
Studying dietary intake in daily life through multilevel two-part modelling: a novel analytical approach and its practical application
Ruf, A., Neubauer, A., Ebner‐Priemer, U., Reif, A., & Matura, S. (2021) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-021-01187-8 · Cited by 25 · see citing works
The Use of Mobile-Based Ecological Momentary Assessment (mEMA) Methodology to Assess Dietary Intake, Food Consumption Behaviours and Context in Young People: A Systematic Review
Battaglia, B., Lee, L., Jia, S. S., Partridge, S. R., & Allman-Farinelli, M. A. (2022) · Healthcare · doi:10.3390/healthcare10071329 · Cited by 23 · see citing works
AI nutritionist: Intelligent software as the next generation pioneer of precision nutrition
Liang, Y., Xiao, R., Huang, F., Lin, Q., Guo, J., Zeng, W., & Dong, J. N. (2024) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2024.108711 · Cited by 23 · see citing works
Studying Microtemporal, Within-Person Processes of Diet, Physical Activity, and Related Factors Using the APPetite-Mobile-App: Feasibility, Usability, and Validation Study
Ruf, A., Koch, E. D., Ebner‐Priemer, U., Knopf, M., Reif, A., & Matura, S. (2021) · Journal of Medical Internet Research · doi:10.2196/25850 · Cited by 24 · see citing works
Is Burden Always Bad? Emerging Low-Burden Approaches to Mobile Dietary Self-monitoring and the Role Burden Plays with Engagement
Turner-McGrievy, G. M., Yang, C.-H., Monroe, C., Pellegrini, C., & West, D. S. (2021) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-021-00203-9 · Cited by 22 · see citing works
Nutrient scoring for the DEGS1-FFQ – from food intake to nutrient intake
Thieleking, R., Schneidewind, L., Kanyamibwa, A., Hartmann, H., Horstmann, A., Witte, A. V., & Medawar, E. (2023) · BMC Nutrition · doi:10.1186/s40795-022-00636-2 · Cited by 23 · see citing works
The Effectiveness of a Blended In-Person and Online Family-Based Childhood Obesity Management Program
Perdew, M., Liu, S., Rhodes, R. E., Ball, G. D. C., Mâsse, L. C., Hartrick, T., Strange, K. S., & Naylor, P. (2020) · Childhood Obesity · doi:10.1089/chi.2020.0236 · Cited by 21 · see citing works
Perspective: A Framework for Addressing Dynamic Food Consumption Processes
Taylor, J., Allman-Farinelli, M. A., Chen, J., Gauglitz, J. M., Hamideh, D., Jankowska, M. M., Johnson, A. J., Rangan, A., Spruijt‐Metz, D., Yang, J., et al. (2022) · Advances in Nutrition · doi:10.1093/advances/nmab156 · Cited by 17 · see citing works
Association of Night-Time Screen-Viewing with Adolescents’ Diet, Sleep, Weight Status, and Adiposity
Kracht, C. L., Wilburn, J. G., Broyles, S. T., Katzmarzyk, P. T., & Staiano, A. E. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19020954 · Cited by 18 · see citing works
New Consumer Research Technology for Food Behaviour: Overview and Validity
Dijksterhuis, G., de Wijk, R. A., & Onwezen, M. C. (2022) · Foods · doi:10.3390/foods11050767 · Cited by 18 · see citing works
Why we don't eat as intended: Moderators of the short‐term intention–behaviour relation in food intake
Aulbach, M. B., van Alebeek, H., Jones, C. M., & Jens Blechert, A. (2024) · British Journal of Health Psychology · doi:10.1111/bjhp.12714 · Cited by 17 · see citing works
Overview of objective measurement technologies for nutrition research, food-related consumer and marketing research
Rantala, E., Balatsas-Lekkas, A., Sözer, N., & Pennanen, K. (2022) · Trends in Food Science & Technology · doi:10.1016/j.tifs.2022.05.006 · Cited by 16 · see citing works
Impact of Eating Context on Dietary Choices of College Students: Evidence from the HEALTHY-UNICT Project
Maugeri, A., Lio, R. M. S., Favara, G., Rosa, M. C. L., Mastra, C. L., Riela, P. M., Guarnera, L., Battiato, S., Barchitta, M., & Agodi, A. (2022) · Nutrients · doi:10.3390/nu14204418 · Cited by 13 · see citing works
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Definitions and Assessment Methods of ‘Home Cooking’ in Studies with Dietary Variables: A Scoping Review
Yuan, X., Fujiwara, A., Matsumoto, M., Tajima, R., Shinsugi, C., Koshida, E., & Takimoto, H. (2022) · Nutrients · doi:10.3390/nu14163344 · Cited by 14 · see citing works
Consuming media, consuming food: investigating concurrent TV viewing and eating using a 7-d time use diary survey
Alblas, M. C., Mollen, S., Wennekers, A. M., Fransen, M. L., & van den Putte, B. (2021) · Public Health Nutrition · doi:10.1017/s1368980021002858 · Cited by 12 · see citing works
Evaluating the Effects of Rewards and Schedule Length on Response Rates to Ecological Momentary Assessment Surveys: Randomized Controlled Trials
Edney, S. M., Goh, C. M. J. L., Chua, X. H., Low, A., Chia, J., Koek, D., Cheong, K., van Dam, R. M., Tan, C. S., & Müller‐Riemenschneider, F. (2023) · Journal of Medical Internet Research · doi:10.2196/45764 · Cited by 11 · see citing works
Evaluating adolescent eating autonomy through ecological momentary assessment
Ziegler, A. M., Hatzinger, L. A., Barich, R., Mansouri, T., Tilyou, K., Goldschmidt, A. B., & Temple, J. L. (2025) · Annals of Behavioral Medicine · doi:10.1093/abm/kaaf027 · Cited by 11 · see citing works
Typology of eating episodes in children and adolescents with overweight/obesity
Goldschmidt, A. B., Mason, T. B., Smith, K. E., Egbert, A. H., Engel, S. G., & Haedt‐Matt, A. A. (2022) · Eating Behaviors · doi:10.1016/j.eatbeh.2022.101596 · Cited by 11 · see citing works
Validity and Feasibility of the Monitoring and Modeling Family Eating Dynamics System to Automatically Detect In-field Family Eating Behavior: Observational Study
Bell, B. M., Alam, R., Mondol, A. S., Ma, M., Emi, I. A., Preum, S. M., de la Haye, K., Stankovic, J. A., Lach, J., & Spruijt‐Metz, D. (2021) · JMIR mhealth and uhealth · doi:10.2196/30211 · Cited by 11 · see citing works
Acceptability and feasibility of mobile phone-based ecological momentary assessment and intervention in Uganda: A pilot randomized controlled trial
Beres, L. K., Mbabali, I., Anok, A., Katabalwa, C., Mulamba, J., Thomas, A. G., Bugos, E., Grabowski, M. K., Nakigozi, G. F., & Chang, L. W. (2022) · PLoS ONE · doi:10.1371/journal.pone.0273228 · Cited by 12 · see citing works
The Effect of Maternal Dietary Patterns on Birth Weight for Gestational Age: Findings from the MAMI-MED Cohort
Barchitta, M., Lio, R. M. S., Rosa, M. C. L., Mastra, C. L., Favara, G., Ferrante, G., Galvani, F., Pappalardo, E., Ettore, C., Ettore, G., et al. (2023) · Nutrients · doi:10.3390/nu15081922 · Cited by 11 · see citing works
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“Everyone can take photos.” Feasibility and relative validity of phone photography-based assessment of children’s diets – a mixed methods study
Norman, Å., Kjellenberg, K., Aréchiga, D. T., Löf, M., & Patterson, E. (2020) · Nutrition Journal · doi:10.1186/s12937-020-00558-4 · Cited by 11 · see citing works
Ecological momentary assessment of physical and eating behaviours: The WEALTH feasibility and optimisation study with recommendations for large-scale data collection
Janek, M., Kühnová, J., Cardon, G., Dyck, D. V., Cimler, R., Elavsky, S., Fezeu, L., Oppert, J., Buck, C., Hebestreit, A., et al. (2025) · PLoS ONE · doi:10.1371/journal.pone.0318772 · Cited by 9 · see citing works
Challenging Dietary Research Measures, Concepts, and Definitions to Promote Greater Inclusivity of Immigrant Experiences: Considerations and Practical Recommendations
Ali, S. H., Lin, N., & Yi, S. S. (2023) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2023.06.280 · Cited by 10 · see citing works
Fine-grained investigation of the relationship between human nutrition and global DNA methylation patterns
Noro, F., Marotta, A., Bonaccio, M., Costanzo, S., Santonastaso, F., Orlandi, S., Tirozzi, A., Parisi, R., Curtis, A. D., Persichillo, M., et al. (2021) · European Journal of Nutrition · doi:10.1007/s00394-021-02716-8 · Cited by 9 · see citing works
Advancing understanding of dietary and movement behaviours in an Asian population through real-time monitoring: Protocol of the Continuous Observations of Behavioural Risk Factors in Asia study (COBRA)
Edney, S. M., Park, S. H., Tan, L. W. L., Chua, X. H., Dickens, B. S. L., Rebello, S. A., Petrunoff, N., Müller, A. M., Tan, C. S., Müller‐Riemenschneider, F., et al. (2022) · Digital Health · doi:10.1177/20552076221110534 · Cited by 8 · see citing works
Emotional Eating Under Negative Affect: A Narrative Review from the Perspectives of Emotion Regulation and Reward Processes in Food Choice
Fu, S., Chen, J., & Wang, X. C. (2026) · Nutrients · doi:10.3390/nu18111830 · Cited by 8 · see citing works
Are commonly used lab‐based measures of food value and choice predictive of self‐reported real‐world snacking? An ecological momentary assessment study
Masterton, S., Hardman, C. A., Boyland, E. J., Robinson, E., Makin, H., & Jones, A. (2022) · British Journal of Health Psychology · doi:10.1111/bjhp.12622 · Cited by 8 · see citing works
How COVID-19 Pandemic Has Influenced Public Interest in Foods: A Google Trends Analysis of Italian Data
Maugeri, A., Barchitta, M., Perticone, V., & Agodi, A. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20031976 · Cited by 8 · see citing works
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Rationale and design of the SenseWhy project: A passive sensing and ecological momentary assessment study on characteristics of overeating episodes
Alshurafa, N. I., Stump, T. K., Romano, C., Pfammatter, A. F., Lin, A., Hester, J. D., Hedeker, D., Forman, E. M., & Spring, B. J. (2023) · Digital Health · doi:10.1177/20552076231158314 · Cited by 8 · see citing works
Predicting discretionary food consumption using temporal self-regulation theory and food reward sensitivity
Garcia, A. D., Mullan, B. A., & Dorina, I. (2023) · Appetite · doi:10.1016/j.appet.2023.107010 · Cited by 9 · see citing works
Dietary patterns and socioeconomic, demographic, and health-related behaviors during pregnancy. A cross-sectional study
de Oliveira, T. I., dos Santos, L., & Höfelmann, D. A. (2023) · Sao Paulo Medical Journal · doi:10.1590/1516-3180.2022.0629.r1.190523 · Cited by 7 · see citing works
The association of dietary components with depression and anxiety symptoms: findings from a cross-sectional survey
Gillespie, K. M., Kemps, E., White, M. J., & Bartlett, S. E. (2025) · Frontiers in Nutrition · doi:10.3389/fnut.2025.1546564 · Cited by 7 · see citing works
Within- and between-person associations of time-varying determinants with snacking in older adults: an ecological momentary assessment study
Cnudde, K., Vylder, F. D., Cardon, G., Maes, I., & Dyck, D. V. (2024) · British Journal Of Nutrition · doi:10.1017/s0007114524001004 · Cited by 7 · see citing works
Association between meal context and meal quality: an ecological momentary assessment in Japanese adults
Shinozaki, N., Murakami, K., Kimoto, N., Masayasu, S., & Sasaki, S. (2024) · European Journal of Nutrition · doi:10.1007/s00394-024-03416-9 · Cited by 6 · see citing works
Development of a Mobile App for Ecological Momentary Assessment of Circadian Data: Design Considerations and Usability Testing
Woolf, T. B., Goheer, A. A., Holzhauer, K., Martinez, J., Coughlin, J. W., Martin, L., Zhao, D., Song, S., Ahmad, Y., Sokolinskyi, K., et al. (2021) · JMIR Formative Research · doi:10.2196/26297 · Cited by 6 · see citing works
Identifying the Leading Sources of Saturated Fat and Added Sugar in U.S. Adults
Taylor, C. A., Madril, P., Weiss, R., Thomson, C. A., Dunton, G. F., Jospe, M. R., Richardson, K. M., Bedrick, E. J., & Schembre, S. M. (2024) · Nutrients · doi:10.3390/nu16152474 · Cited by 5 · see citing works
Chrononutrition behaviors in relation to diet quality and obesity: do dietary assessment methods and energy intake misreporting matter?
Murakami, K., Shinozaki, N., Livingstone, M. B. E., McCaffrey, T. A., Masayasu, S., & Sasaki, S. (2025) · Nutrition Journal · doi:10.1186/s12937-025-01129-1 · Cited by 5 · see citing works
The Use of Food Images and Crowdsourcing to Capture Real-time Eating Behaviors: Acceptability and Usability Study
Harrington, K. A., Zenk, S. N., Horn, L. V., Giurini, L., Mahakala, N., & Kershaw, K. N. (2021) · JMIR Formative Research · doi:10.2196/27512 · Cited by 5 · see citing works
Achieving high diet quality at eating occasions: findings from a nationally representative study of Australian adults
Tran, N. R., Leech, R. M., Livingstone, K. M., & McNaughton, S. A. (2023) · British Journal Of Nutrition · doi:10.1017/s0007114523002325 · Cited by 5 · see citing works
Relative validity of the Chrono-Nutrition Behavior Questionnaire (CNBQ) against 11-day event-based ecological momentary assessment diaries of eating
Murakami, K., Shinozaki, N., McCaffrey, T. A., Livingstone, M. B. E., Masayasu, S., & Sasaki, S. (2025) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-025-01740-9 · Cited by 5 · see citing works
Effects of a health versus hedonic mindset on daily‐life snacking behaviour
Pimpini, L., Franssen, S., Reber, P., Jansen, A. T. M., & Roefs, A. (2023) · Journal of Human Nutrition and Dietetics · doi:10.1111/jhn.13221 · Cited by 4 · see citing works
Decision Trade-Offs in Ecological Momentary Assessments and Digital Wearables Uptake: Protocol for a Discrete Choice Experiment
El‐Toukhy, S., Pike, J. R., Zuckerman, G., & Hegeman, P. (2023) · JMIR Research Protocols · doi:10.2196/47567 · Cited by 4 · see citing works
Mobile Device-assisted Dietary Ecological Momentary Assessments for the Evaluation of the Adherence to the Mediterranean Diet in a Continuous Manner
Boronat, A., Clivillé-Pérez, J., Soldevila‐Domenech, N., Forcano, L., Pizarro, N., Fitó, M., Schröder, H., Fauria, K., & de la Torre, R. (2021) · Journal of Visualized Experiments · doi:10.3791/62161 · Cited by 4 · see citing works
Neighbourhood food typologies, fast food outlet visitation and snack food purchasing among adolescents in Melbourne, Australia
Loh, V. H. Y., Poelman, M. P., Veitch, J., McNaughton, S. A., Leech, R. M., & Timperio, A. F. (2021) · Public Health Nutrition · doi:10.1017/s1368980021004298 · Cited by 4 · see citing works
Smartphone survey data reveal the timecourse of changes in mood outcomes following vitamin C or kiwifruit intervention in adults with low vitamin C
Fletcher, B. D., Haszard, J. J., Vissers, M. C. M., & Conner, T. S. (2023) · British Journal Of Nutrition · doi:10.1017/s0007114523002787 · Cited by 4 · see citing works
Characteristics of smartphone-based dietary assessment tools: A systematic reviewPreprint
König, L. M., Emmenis, M. V., Nurmi, J., Kassavou, K., & Sutton, S. R. (2021) · doi:10.31234/osf.io/xr3st · Cited by 4 · see citing works
Collecting Food and Drink Intake Data With Voice Input: Development, Usability, and Acceptability Study
Millard, L. A. C., Johnson, L., Neaves, S., Flach, P. A., Tilling, K. M., & Lawlor, D. A. (2023) · JMIR mhealth and uhealth · doi:10.2196/41117 · Cited by 3 · see citing works
The role of perceived negative partner behavior in daily snacking behavior: A dynamical systems approach
Lin, J., MacCormack, J. K., Boker, S. M., Coan, J. A., & Stanton, S. C. E. (2024) · Appetite · doi:10.1016/j.appet.2024.107393 · Cited by 3 · see citing works
Are you how you eat? Aspects of self-awareness in eating disorders
Coutinho, B. D. M. C., Pariz, C. G., Krahe, T. E., & Mograbi, D. C. (2024) · Personality Neuroscience · doi:10.1017/pen.2024.2 · Cited by 3 · see citing works
Adverse Events of Mood Monitoring and Ambulatory Assessment in Depression and Bipolar Disorder: Systematic Review and Meta-Analysis
Wright, L. A., Monk-Cunliffe, J., Guo, B., & Morriss, R. K. (2025) · JMIR Mental Health · doi:10.2196/79500 · Cited by 2 · see citing works
Acceptability of Intensive Ambulatory Assessment Combining Four Wearable Sensors and Ecological Momentary Assessment to Assess Physical and Eating Behaviors in Adults: The WEALTH Project
Bouchan, J., Fezeu, L., Větrovský, T., Elavsky, S., Delestre, F., Vylder, F. D., Buck, C., Hebestreit, A., Janas, H., Hayes, G., et al. (2026) · Journal for the Measurement of Physical Behaviour · doi:10.1123/jmpb.2025-0025 · Cited by 2 · see citing works
Orthorexia nervosa versus anorexia nervosa: Comparison of diagnostic and behavioral features in at-risk young adults
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Additional file 4 of Studying dietary intake in daily life through multilevel two-part modelling: a novel analytical approach and its practical application
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Additional file 1 of Studying dietary intake in daily life through multilevel two-part modelling: a novel analytical approach and its practical application
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Authors: Maugeri, A., & Barchitta, M.
Affiliations: University of Catania (IT)
Corresponding author: Barchitta, Martina
ORCID: Maugeri, Andrea
Barchitta, Martina
Venue: Nutrients
Publisher: MDPI AG
Published: 2019-11-07
Volume: 11
Issue: 11
Pages: 2696
ISSN: 2072-6643 (ISSN-L)
DOI: 10.3390/nu11112696
PMC: PMC6893429
OpenAlex: W2987569335
Cited by: 111
References: 81
Citations by year: 2026: 21 · 2025: 14 · 2024: 12 · 2023: 18 · 2022: 18 · 2021: 19 · 2020: 8 · 2019: 1
FWCI: 1.88
Type: journal article
Language: en
Open access: gold
dx.doi.org
Licence: cc-by
creativecommons.org/licenses/by/4.0/ (vor)
Locations: Nutrients (publishedVersion, cc-by)
Europe PMC (PubMed Central) (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders: Università di Catania
Topics: Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
Keywords: ecological momentary assessment, dietary assessment, dietary habits, meal frequency, nutritional epidemiology, eating disorders, metabolic disorders
MeSH terms: Ecological Momentary Assessment, Adolescent, Adult, Aged, Child, Child, Preschool, Diet, Feeding Behavior, Female, Humans, Male, Middle Aged, Obesity, Pregnancy, Nutrition Assessment, Young Adult

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

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