Electronic Dietary Intake Assessment (e-DIA): relative validity of a mobile phone application to measure intake of food groups

Abstract

Automation of dietary assessment can reduce limitations of established methodologies, by alleviating participant and researcher burden. Designed as a research tool, the electronic Dietary Intake Assessment (e-DIA) is a food record in mobile phone application format. The present study aimed to examine the relative validity of the e-DIA with the 24-h recall method to estimate intake of food groups. A sample of eighty university students aged 19-24 years recorded 5 d of e-DIA and 3 d of recall within this 5-d period. The three matching days of dietary data were used for analysis. Food intake data were disaggregated and apportioned to one of eight food groups. Median intakes of food groups were similar between the methods, and strong correlations were found (mean: 0·79, range: 0·69-0·88). Cross-classification by tertiles produced a high level of exact agreement (mean: 71 %, range: 65-75 %), and weighted κ values were moderate to good (range: 0·54-0·71). Although mean differences (e-DIA-recall) were small (range: -13 to 23 g), limits of agreement (LOA) were relatively large (e.g. for vegetables, mean difference: -4 g, LOA: -159 to 151 g). The Bland-Altman plots showed robust agreement, with minimum bias. This analysis supports the use of e-DIA as an alternative to the repeated 24-h recall method for ranking individuals' food group intake.

Evaluation of a smartphone food diary application using objectively measured energy expenditure

“…Twenty-four hour-recalls have been used as a reference method for two novel dietary assessment methods, namely My Meal Mate (MMM) [8] and Electronic dietary intake assessment (e-DIA) [24]. Results from both studies reported a mean EI comparable to 24-h dietary recalls, with Bland-Altman plots showing minimal bias but with wide limits of agreement [8, 24]. However, neither study assessed misreporting or accounted for under or over reporting of dietary intake.…”

“…Existing electronic food diaries have been evaluated using a variety of methods as the reference method including doubly-labelled water (DLW) [6, 21, 22], 24-h recalls [8, 23, 24], weighed food records [10, 25] and estimated food records [26, 27]. Each method has limitations; DLW because of its high cost, invasiveness, specialised equipment for analysis and the need for trained personnel [1].…”

Novel Online or Mobile Methods to Assess Eating Patterns

“…Correlations were deattenuated and energy; BA analysis also done for macronutrient intakes and plots showed no evidence of systematic bias. Mean differences in dietary intakes between were small and not significant Rangan [ 41 ], 2016 Young adults; N = 80; 63% female; mean (SD) age = 21(0.5) years old c Electronic Dietary Intake Assessment (e-DIA); 5 days 0 3 x 24HR, conducted on random days Fruits, vegetables, grains, meat and alternatives, dairy and alternatives, discretionary foods, discretionary beverages, alcoholic beverages ρ = 0.69 for discretionary beverages to ρ = 0.88 for discretionary food and for alcoholic beverages Limits of agreement (e-DIA-24HR) ranged from −0.8 g (−124, 122) for meat and alternatives to 23.0 g (−293, 339) for discretionary beverages BA plots showed no evidence of systematic bias. Median differences in food group intakes were not significant.…”

Uso de apps na área de Nutrição: revisão de literatura e perfil do usuário

“…O artigo de Rangan et al (2016) examinou a validade de uma ferramenta de avaliação da ingestão dietética eletrônica (e-DIA), comparada com um recordatório de 24 horas, a m de medir o consumo de grupos de alimentos em uma amostra de 80 estudantes universitários, havendo entre esses 50 mulheres com média de idade de 21 anos. Trata-se de um aplicativo de celular que registra digitalmente todos os alimentos e bebidas consumidos, sejam eles pesados ou estimados.…”