The e-EPIDEMIOLOGY Mobile Phone App for Dietary Intake Assessment: Comparison with a Food Frequency Questionnaire

Béjar, Luís; Sharp, Brett Northrop; García-Perea, María Dolores

doi:10.2196/resprot.5782

Cited by 21 publications

(62 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ultimately, both methods (e-EPIDEMIOLOGY and FFQ) are very different and therefore present different measurement errors. This is the first study that develops an alternative to traditional short paper FFQ using mobile technologies (19). The mean SCC for food group intake between the two methods was 0.73 and high correlations (SCCs ≥ 0.5) were observed for all food/drink groups.…”

Section: Discussionmentioning

confidence: 86%

“…There are different tools, such as dietary registries or 24 hour recalls, serving that purpose (1-6). This method using e-EPIDEMIOLOGY was designed to categorize habitual foods/drinks intakes (19). It can be also used (much like the short FFQ paper with which it was compared) to identify potential deficits in nutrient consumption, to assess the relationships between diet and health, and to evaluate the effectivity of personalized measures that promote healthy lifestyle changes (13).…”

Section: Discussionmentioning

confidence: 99%

“…However, it was noted that further testing of e-EPIDEMIOLOGY is required to establish its wider utility (19). While e-EPIDEMIO-LOGY demonstrated good agreement with the short paper FFQ, some disagreement was observed between the two instruments (cross-classification analysis showed that 8.2% of the participants were incorrectly classified into 2-4 categories apart).…”

Section: Discussionmentioning

confidence: 99%

“…However, there are important differences between both methods. With e-EPIDEMIOLOGY, this question is answered at the end of each day during the study period, while the short paper FFQ is completed at the end of 28 days (19). This minimizes the dependence on the memory of the participant in e-EPIDEMIOLOGY in comparison to the FFQ, keeping in mind that the recollection of past consumption of foods can be influenced by more recent food consumption (32)(33)(34)(35).…”

Section: Discussionmentioning

confidence: 99%

“…The objective of these short-term instruments was to assess the whole diet (14)(15)(16)(17)(18). However, until now, no electronic long-term tools had been developed for evaluating habitual dietary intake of selected food/drink groups, benefitting from mobile technologies and serving as an alternative to traditional short FFQs (19).…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Is there any alternative to traditional food frequency questionnaire for evaluating habitual dietary intake?

Béjar¹,

Vázquez-Limón²

2017

Nutr Hosp

View full text Add to dashboard Cite

Palabras clave:Métodos epidemiológicos. Evaluación nutricional. Registros de dieta. Encuestas y cuestionarios. Teléfono inteligente. ResumenIntroducción: los métodos de evaluación de la dieta son importantes instrumentos para la investigación nutricional. Los cuestionarios de frecuencia de consumo de alimentos (CFCA) han sido los métodos utilizados con mayor frecuencia en los estudios epidemiológicos y de intervención. Hay una gran necesidad de nuevas herramientas que superen las limitaciones de estos métodos tradicionales. Objetivos: los objetivos del presente estudio fueron desarrollar un nuevo método, basado en una aplicación para teléfonos móviles llamada e-EPIDEMIOLOGY, diseñada para registrar los datos de consumo individual de una serie corta de alimentos/bebidas, y comparar estos datos con los obtenidos a partir de un CFCA corto (en papel) validado previamente. Métodos: estudiantes universitarios mayores de 18 años registraron el consumo de ciertos alimentos/bebidas usando e-EPIDEMIOLOGY durante 28 días consecutivos y cumplimentaron un CFCA corto (en papel) al fi nal del periodo de estudio. Para evaluar el acuerdo entre ambos métodos se utilizaron el coefi ciente de correlación de Spearman, el análisis de clasifi cación cruzada y el kappa ponderado. Resultados: un total de 119 participantes completaron el estudio (71,4% mujeres y 28,6% hombres). El coefi ciente de correlación de Spearman medio entre ambos métodos fue 0,73. La media del porcentaje de clasifi cación cruzada en la categoría de "acuerdo exacto + adyacente" fue 91,6%. La media del kappa ponderado fue 0,60. Conclusiones: los resultados indican que e-EPIDEMIOLOGY tiene buena concordancia con el CFCA corto (en papel) previamente validado. Sin embargo, son necesarias más pruebas con e-EPIDEMIOLOGY para establecer su utilidad de forma más amplia. AbstractIntroduction: Dietary assessment methods are an important instrument for nutrition research. Food frequency questionnaires (FFQs) have been the most frequently used dietary assessment tool in epidemiological and intervention studies. There is a great necessity for new methods of determination of habitual dietary intake that overcome the limitations of these traditional methods. Objectives: The objectives of the present study were to develop a new method, based on an application for mobile phones called e-EPIDEMI-OLOGY, designed to record individual consumption data about a short series of foods/drinks, and to compare data collected using this tool with those obtained from a previously validated short paper FFQ. Methods: University students over 18 years recorded the consumption of certain foods/drinks using e-EPIDEMIOLOGY during 28 consecutive days and then fi lled out a short paper FFQ at the end of the study period. To evaluate the agreement between both methods, Spearman's correlation coeffi cient, cross-classifi cation analysis and a weighted kappa statistic were used. Results: One hundred and nineteen participants completed the study (71.4% female and 28.6% male). The mean Spearman's correlati...

show abstract

Section: Discussionmentioning

confidence: 86%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Is there any alternative to traditional food frequency questionnaire for evaluating habitual dietary intake?

Béjar¹,

Vázquez-Limón²

2017

Nutr Hosp

View full text Add to dashboard Cite

show abstract

Análisis de los hábitos nutricionales entre los principales agentes sanitarios en promoción de la salud (médicos/as y enfermeros/as) de los servicios de urgencias en tiempos de la COVID-19

Prado

Rodríguez

2022

Medicina de Familia. SEMERGEN

View full text Add to dashboard Cite

Objetivo: Determinación de hábitos nutricionales de profesionales sanitarios de servicios de urgencias hospitalarios durante la pandemia de COVID-19. Material y métodos: Estudio descriptivo longitudinal (periodo de seguimiento: 28 días), fundamentado en la utilización de una aplicación de Smartphone (e-12HR), realizado en un hospital de tercer nivel de Andalucía (España). Resultados: 44 profesionales sanitarios de servicios de urgencias hospitalarios completaron el estudio: edad media = 47,7 años, predominio de mujeres (52,3%); IMC promedio = 25,2 kg/m 2 ; mayoría de no fumadores (86,4%); elevado porcentaje de participantes con actividades físicas moderadas/intensas ≥150 minutos/semana (84,1%); el 54,5% era personal de enfermería y el 45,5% personal médico. El valor medio del indicador de adherencia a la dieta mediterránea fue 5,98 puntos (máximo 15), con un 20,5% de los participantes con valor del indicador ≥8. Según estratos, la adherencia a la dieta mediterránea en personal de enfermería fue significativamente mayor que en personal medico. Conclusiones: La dieta de los profesionales sanitarios de servicios de urgencias hospitalarios se caracterizó, en el global de la muestra, por una baja adherencia al patrón de dieta mediterránea y, según estratos, especialmente entre los profesionales médicos. La caracterización de la dieta en los profesionales sanitarios de servicios de urgencias hospitalarios puede proporcionar a las autoridades de salud pública un punto de partida para el diseño y la aplicación de intervenciones de promoción de la salud destinadas a fomentar unos hábitos alimenticios saludables durante las sucesivas olas por COVID-19 que se prevén a corto y medio plazo.

show abstract

Bidirectional associations between diet and body composition measures from 2 to 15 years: Longitudinal Study of Australian Children

et al. 2018

View full text Add to dashboard Cite

This study investigates how dietary patterns and scores are associated with subsequent BMI and waist:height ratio (WHtR), and how BMI and WHtR are associated with subsequent dietary patterns or scores, from 2–3 to 10–11 and 4–5 to 14–15 years of age. In the Longitudinal Study of Australian Children, height, weight and waist circumference were measured biennially in children, yielding BMI z-score and WHtR. Parents, latterly children, reported frequency of child consumption of 12–16 food/drink items during the previous 24 h. At each wave, we empirically derived dietary patterns using factor analyses, and dietary scores based on the 2013 Australian Dietary Guidelines. We used structural-equation modelling to investigate cross-lagged associations (n 1972–2882) between diet and body composition measures in univariable and multivariable analyses. Dietary scores/patterns did not consistently predict WHtR and BMI z-score in the next wave, nor did BMI z-score and WHtR consistently predict diet in the next wave. The few associations seen were weak and often in the opposite direction to that hypothesised. The largest effect, associated with each standard deviation increase in BMI in wave 5 of the K cohort (age 12–13 years), was a 0·06 standard deviation estimated mean increase in dietary score (higher quality diet) in the subsequent wave (95 % CI 0·02, 0·11, P=0·003). Associations between dietary patterns/scores and body composition were not strongly evident in either direction. Better quantitative childhood dietary tools feasible for large-scale administration are needed to quantify how dietary patterns, energy intake and anthropometry co-develop.

show abstract

The e-EPIDEMIOLOGY Mobile Phone App for Dietary Intake Assessment: Comparison with a Food Frequency Questionnaire

Cited by 21 publications

References 38 publications

Is there any alternative to traditional food frequency questionnaire for evaluating habitual dietary intake?

Is there any alternative to traditional food frequency questionnaire for evaluating habitual dietary intake?

Análisis de los hábitos nutricionales entre los principales agentes sanitarios en promoción de la salud (médicos/as y enfermeros/as) de los servicios de urgencias en tiempos de la COVID-19

Bidirectional associations between diet and body composition measures from 2 to 15 years: Longitudinal Study of Australian Children

Contact Info

Product

Resources

About