Content area
Objective:
To describe the development and validation of the Nova FFQ (NovaFFQ) for Brazilian adults.
Design:
The NovaFFQ is a self-administered, semi-quantitative questionnaire. The food list includes the most consumed foods and drinks based on 2017–2018 National Food Intake Survey data. We identified and differentiated foods that could be classified into multiple Nova groups. We assessed reproducibility and criterion validity using the percent energy contribution of each Nova group. Reproducibility was assessed by comparing NovaFFQ estimates on two occasions. Criterion validity was assessed by comparing the first NovaFFQ estimate against the mean of two Nova24h recalls. We estimated the intraclass correlation coefficients (ICC) for both analyses and assessed the agreement of classification into quintiles using the prevalence-and-bias-adjusted kappa coefficients for criterion validity analysis.
Setting:
Nationwide Brazilian study, the NutriNet-Brasil cohort.
Participants:
There were 243 participants in the reproducibility analysis and 376 in the criterion validity analysis.
Results:
Strong reproducibility was observed, with an ICC of 0·91 for all the Nova groups. Criterion validity showed a moderate ICC, ranging from 0·61 for processed and ultra-processed foods (UPF) to 0·65 for unprocessed and minimally processed foods. Substantial agreement in ranking individuals across quintiles was found, as indicated by the prevalence-and-bias-adjusted kappa (PABAK = 0·74, 0·72, 0·70 and 0·73 for unprocessed and minimally processed foods, culinary ingredients and processed and ultra-processed foods, respectively).
Conclusions:
The NovaFFQ is a valid instrument for assessing food consumption by processing level, especially for discriminating individuals according to the magnitude of consumption in all Nova groups.
Details
; Kamila Tiemann Gabe 2
; Caroline dos Santos Costa 2
; Neri, Daniela 2
; Martínez-Steele, Euridice 2
; Rauber, Fernanda 3
; Steluti, Josiane 4
; Renata Bertazzi Levy 3
; Maria Laura da Costa Louzada 5
1 Postgraduate Program in Nutrition and Health, Department of Nutrition, School of Public Health, University of São Paulo (USP), São Paulo, Brazil; Centre for Epidemiological Studies in Nutrition and Health, School of Public Health, University of São Paulo, São Paulo, Brazil
2 Centre for Epidemiological Studies in Nutrition and Health, School of Public Health, University of São Paulo, São Paulo, Brazil
3 Centre for Epidemiological Studies in Nutrition and Health, School of Public Health, University of São Paulo, São Paulo, Brazil; Department of Preventive Medicine, School of Medicine, University of Sao Paulo, Sao Paulo, Brazil
4 Public Policies and Collective Health Department, Health and Society Institute, Federal University of Sao Paulo, Santos, Brazil
5 Centre for Epidemiological Studies in Nutrition and Health, School of Public Health, University of São Paulo, São Paulo, Brazil; Department of Nutrition, School of Public Health, University of Sao Paulo, Sao Paulo, Brazil