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
Main Authors: Ferreira, Giovana Regina, da Silva, Danielle Góes, Taconeli, Cesar Augusto, Pierin, Gislaine Aparecida Fitz, Lass, Henrique de Souza, Martins, Larissa Santos, de Moraes, Thabata Zelice da Cruz, Koubik, Nathalie Alves dos Santos, Siqueira, Bruna Nabuco Freire, Almeida, Claudia Choma Bettega, Camey, Suzi Alves, Marchioni, Dirce Maria, Fisberg, Regina Mara, Crispim, Sandra Patricia
Format: Journal Article
Language:English
Published: Elsevier Ltd 01-10-2021
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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.
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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Snippet 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,...
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SubjectTerms 24-hour recall
Dietary methods
Food photographs
Portion size estimation
Validation
Title Assessment of bias and associated factors for food portion quantification with photos in Brazil
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