Assessment of bias and associated factors for food portion quantification with photos in Brazil
Food portion size estimation is an important source of error in obtaining dietary data. While food portion photos are known to aid the food portion estimation, the validation of photos are required. This study aimed at evaluating the bias and associated factors in quantifying the size of food portio...
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Published in: | Measurement. Food Vol. 3; p. 100007 |
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Abstract | Food portion size estimation is an important source of error in obtaining dietary data. While food portion photos are known to aid the food portion estimation, the validation of photos are required.
This study aimed at evaluating the bias and associated factors in quantifying the size of food portions eaten during lunch, and estimated by a 24-Hour Recall (24HR) interview, with and without the use of photos. Design and Participants: A validation study was carried out with 140 adults in the Brazilian cities of Curitiba and Aracaju. Data collection began in the first semester of 2017, lasting approximately one year. On the first day, participants consumed foods during a lunch with 10 possible items; each weighed after selection. The following day, a 24HR interview was applied. Participants were randomly allocated into two groups, according to the use of food portion photos during the interview.
Means of the consumed and reported food amounts, and the difference between them were estimated.
The effect of the use of photos was obtained by evaluating the odds of correctly estimating each food portion, (±10% and ±25%), using logistic regression. Additionally, the effect of using photos, the main predictor, was adjusted by other variables (e.g. age and educational level). Results: Rice, beans and meatballs had the greater differences between the assessed groups. The odds of success in estimating the portion size were greater amongst those that used the photo to estimate their consumption of rice and beans; while the contrary was observed for meatballs. Carrot, lettuce and juice had similar biases between the groups. Furthermore, educational level, cooking habit, and study centre location influenced the correct estimation of some foods.
The evaluated photos can assist to estimate food consumption, especially two traditionally Brazilian foods, rice, and beans. The use of the meatball photo was unsatisfactory and further assessments are needed for the remaining photos. Thus, the evaluated photos album can be a useful tool in estimating Brazilian food consumption although further developments and assessments are also granted. |
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AbstractList | Food portion size estimation is an important source of error in obtaining dietary data. While food portion photos are known to aid the food portion estimation, the validation of photos are required.
This study aimed at evaluating the bias and associated factors in quantifying the size of food portions eaten during lunch, and estimated by a 24-Hour Recall (24HR) interview, with and without the use of photos. Design and Participants: A validation study was carried out with 140 adults in the Brazilian cities of Curitiba and Aracaju. Data collection began in the first semester of 2017, lasting approximately one year. On the first day, participants consumed foods during a lunch with 10 possible items; each weighed after selection. The following day, a 24HR interview was applied. Participants were randomly allocated into two groups, according to the use of food portion photos during the interview.
Means of the consumed and reported food amounts, and the difference between them were estimated.
The effect of the use of photos was obtained by evaluating the odds of correctly estimating each food portion, (±10% and ±25%), using logistic regression. Additionally, the effect of using photos, the main predictor, was adjusted by other variables (e.g. age and educational level). Results: Rice, beans and meatballs had the greater differences between the assessed groups. The odds of success in estimating the portion size were greater amongst those that used the photo to estimate their consumption of rice and beans; while the contrary was observed for meatballs. Carrot, lettuce and juice had similar biases between the groups. Furthermore, educational level, cooking habit, and study centre location influenced the correct estimation of some foods.
The evaluated photos can assist to estimate food consumption, especially two traditionally Brazilian foods, rice, and beans. The use of the meatball photo was unsatisfactory and further assessments are needed for the remaining photos. Thus, the evaluated photos album can be a useful tool in estimating Brazilian food consumption although further developments and assessments are also granted. |
ArticleNumber | 100007 |
Author | da Silva, Danielle Góes Siqueira, Bruna Nabuco Freire Pierin, Gislaine Aparecida Fitz Ferreira, Giovana Regina Camey, Suzi Alves Taconeli, Cesar Augusto Lass, Henrique de Souza de Moraes, Thabata Zelice da Cruz Almeida, Claudia Choma Bettega Crispim, Sandra Patricia Koubik, Nathalie Alves dos Santos Fisberg, Regina Mara Marchioni, Dirce Maria Martins, Larissa Santos |
Author_xml | – sequence: 1 givenname: Giovana Regina surname: Ferreira fullname: Ferreira, Giovana Regina organization: Nutritionist. Postgraduate Program in Food and Nutrition - Federal University of Paraná - UFPR, Curitiba 80240-110, Brazil – sequence: 2 givenname: Danielle Góes surname: da Silva fullname: da Silva, Danielle Góes organization: Associate Professor. Postgraduate Program in Nutrition Science - Federal University of Sergipe - UFS, São Cristóvão 49100-000, Brazil – sequence: 3 givenname: Cesar Augusto surname: Taconeli fullname: Taconeli, Cesar Augusto organization: Associate Professor. Department of Statistics, Federal University of Paraná - UFPR, Curitiba 81531990, Brazil – sequence: 4 givenname: Gislaine Aparecida Fitz surname: Pierin fullname: Pierin, Gislaine Aparecida Fitz organization: Nutritionist, Department of Nutrition, Federal University of Paraná – UFPR, Curitiba 80240-110, Brazil – sequence: 5 givenname: Henrique de Souza surname: Lass fullname: Lass, Henrique de Souza organization: Nutritionist, Department of Nutrition, Federal University of Paraná - UFPR, Curitiba 80240-110, Brazil – sequence: 6 givenname: Larissa Santos surname: Martins fullname: Martins, Larissa Santos organization: Nutritionist. Postgraduate Program in Nutrition Science - Federal University of Sergipe - UFS, São Cristóvão 49100-000, Brazil – sequence: 7 givenname: Thabata Zelice da Cruz surname: de Moraes fullname: de Moraes, Thabata Zelice da Cruz organization: Nutritionist. Postgraduate Program in Nutrition Science - Federal University of Sergipe - UFS, São Cristóvão 49100-000, Brazil – sequence: 8 givenname: Nathalie Alves dos Santos surname: Koubik fullname: Koubik, Nathalie Alves dos Santos organization: Nutritionist. Postgraduate Program in Food and Nutrition - Federal University of Paraná - UFPR, Curitiba 80240-110, Brazil – sequence: 9 givenname: Bruna Nabuco Freire surname: Siqueira fullname: Siqueira, Bruna Nabuco Freire organization: Nutritionist. Postgraduate Program in Nutrition Science - Federal University of Sergipe - UFS, São Cristóvão 49100-000, Brazil – sequence: 10 givenname: Claudia Choma Bettega surname: Almeida fullname: Almeida, Claudia Choma Bettega organization: Associate Professor. Postgraduate Program in Food and Nutrition - Federal University of Paraná - UFPR, Curitiba 80240-110, Brazil – sequence: 11 givenname: Suzi Alves surname: Camey fullname: Camey, Suzi Alves organization: Associate Professor. Postgraduate Program in Epidemiology, Department of Statistics, Federal University of Rio Grande do Sul - UFRGS, Porto Alegre 91509-900, Brazil – sequence: 12 givenname: Dirce Maria surname: Marchioni fullname: Marchioni, Dirce Maria organization: Associate Professor. Department of Nutrition, Public Health School, University of São Paulo - USP, São Paulo 01246-000, Brazil – sequence: 13 givenname: Regina Mara surname: Fisberg fullname: Fisberg, Regina Mara organization: Associate Professor. Department of Nutrition, Public Health School, University of São Paulo - USP, São Paulo 01246-000, Brazil – sequence: 14 givenname: Sandra Patricia surname: Crispim fullname: Crispim, Sandra Patricia email: crispim@ufpr.br organization: Adjunct Professor. Postgraduate Program in Food and Nutrition - Federal University of Paraná - UFPR, Curitiba 80240-110, Brazil |
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Keywords | Validation Dietary methods 24-hour recall Food photographs Portion size estimation |
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