Nova diet quality scores and risk of weight gain in the NutriNet-Brasil cohort study
Abstract Objective: To assess the prospective association of two diet quality scores based on the Nova food classification with BMI gain. Design: The NutriNet-Brasil cohort is an ongoing web-based prospective study with continuous recruitment of participants aged ≥ 18 years since January 2020. A...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Cambridge University Press
2023-11-01
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| Series: | Public Health Nutrition |
| Subjects: | |
| Online Access: | https://www.cambridge.org/core/product/identifier/S1368980023001532/type/journal_article |
| _version_ | 1827768375721328640 |
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| author | Francine Silva dos Santos Eurídice Martinez Steele Caroline dos Santos Costa Kamila Tiemman Gabe Maria Alvim Leite Rafael Moreira Claro Mathilde Touvier Bernard Srour Maria Laura da Costa Louzada Renata Bertazzi Levy Carlos Augusto Monteiro |
| author_facet | Francine Silva dos Santos Eurídice Martinez Steele Caroline dos Santos Costa Kamila Tiemman Gabe Maria Alvim Leite Rafael Moreira Claro Mathilde Touvier Bernard Srour Maria Laura da Costa Louzada Renata Bertazzi Levy Carlos Augusto Monteiro |
| author_sort | Francine Silva dos Santos |
| collection | DOAJ |
| description |
Abstract
Objective:
To assess the prospective association of two diet quality scores based on the Nova food classification with BMI gain.
Design:
The NutriNet-Brasil cohort is an ongoing web-based prospective study with continuous recruitment of participants aged ≥ 18 years since January 2020. A short 24-h dietary recall screener including ‘yes/no’ questions about the consumption of whole plant foods (WPF) and ultra-processed foods (UPF) was completed by participants at baseline. The Nova-WPF and the Nova-UPF scores were computed by adding up positive responses regarding the consumption of thirty-three varieties of WPF and twenty-three varieties of UPF, respectively. Participants reported their height at baseline and their weight at both baseline and after approximately 15 months of follow-up. A 15-month BMI (kg/m2) increase of ≥5 % was coded as BMI gain.
Setting:
Brazil.
Participants:
9551 participants from the NutriNet-Brasil cohort.
Results:
Increasing quintiles of the Nova-UPF score were linearly associated with higher risk of BMI gain (relative risk Q5/Q1 = 1·34; 95 % CI 1·15, 1·56), whereas increasing quintiles of the Nova-WPF score were linearly associated with lower risk (relative risk Q5/Q1 = 0·80; 95 % CI 0·69, 0·94). We identified a moderate inverse correlation between the two scores (–0·33) and a partial mediating effect of the alternative score: 15 % for the total effect of the Nova-UPF score and 25 % for the total effect of the Nova-WPF score.
Conclusions:
The Nova-UPF and Nova-WPF scores are independently associated with mid-term BMI gain further justifying their use in diet quality monitoring systems.
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| first_indexed | 2024-03-11T12:11:15Z |
| format | Article |
| id | doaj.art-f285461d9d3248f192eead3ba9f2d6b8 |
| institution | Directory Open Access Journal |
| issn | 1368-9800 1475-2727 |
| language | English |
| last_indexed | 2024-03-11T12:11:15Z |
| publishDate | 2023-11-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | Public Health Nutrition |
| spelling | doaj.art-f285461d9d3248f192eead3ba9f2d6b82023-11-07T13:10:40ZengCambridge University PressPublic Health Nutrition1368-98001475-27272023-11-01262366237310.1017/S1368980023001532Nova diet quality scores and risk of weight gain in the NutriNet-Brasil cohort studyFrancine Silva dos Santos0Eurídice Martinez Steele1Caroline dos Santos Costa2https://orcid.org/0000-0002-3522-1546Kamila Tiemman Gabe3https://orcid.org/0000-0001-5138-9552Maria Alvim Leite4https://orcid.org/0000-0002-2774-7126Rafael Moreira Claro5Mathilde Touvier6Bernard Srour7https://orcid.org/0000-0002-1277-3380Maria Laura da Costa Louzada8Renata Bertazzi Levy9Carlos Augusto Monteiro10https://orcid.org/0000-0002-3777-1533Department of Nutrition, School of Public Health, University of São Paulo, São Paulo 01246-904, Brazil Center for Epidemiological Research in Nutrition and Health, Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, BrazilDepartment of Nutrition, School of Public Health, University of São Paulo, São Paulo 01246-904, Brazil Center for Epidemiological Research in Nutrition and Health, Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, BrazilDepartment of Nutrition, School of Public Health, University of São Paulo, São Paulo 01246-904, Brazil Center for Epidemiological Research in Nutrition and Health, Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, BrazilCenter for Epidemiological Research in Nutrition and Health, Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil Postgraduate Program in Nutrition in Public Health, School of Public Health, University of São Paulo, São Paulo, BrazilCenter for Epidemiological Research in Nutrition and Health, Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil Department of Nutrition, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, BrazilDepartment of Nutrition, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, BrazilSorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Villetaneuse, FranceSorbonne Paris Nord University, INSERM U1153, INRAE U1125, CNAM, Nutritional Epidemiology Research Team (EREN), Villetaneuse, FranceDepartment of Nutrition, School of Public Health, University of São Paulo, São Paulo 01246-904, Brazil Center for Epidemiological Research in Nutrition and Health, Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, BrazilCenter for Epidemiological Research in Nutrition and Health, Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil Department of Preventive Medicine, School of Medicine, University of São Paulo, São Paulo, BrazilDepartment of Nutrition, School of Public Health, University of São Paulo, São Paulo 01246-904, Brazil Center for Epidemiological Research in Nutrition and Health, Department of Nutrition, School of Public Health, University of São Paulo, São Paulo, Brazil Abstract Objective: To assess the prospective association of two diet quality scores based on the Nova food classification with BMI gain. Design: The NutriNet-Brasil cohort is an ongoing web-based prospective study with continuous recruitment of participants aged ≥ 18 years since January 2020. A short 24-h dietary recall screener including ‘yes/no’ questions about the consumption of whole plant foods (WPF) and ultra-processed foods (UPF) was completed by participants at baseline. The Nova-WPF and the Nova-UPF scores were computed by adding up positive responses regarding the consumption of thirty-three varieties of WPF and twenty-three varieties of UPF, respectively. Participants reported their height at baseline and their weight at both baseline and after approximately 15 months of follow-up. A 15-month BMI (kg/m2) increase of ≥5 % was coded as BMI gain. Setting: Brazil. Participants: 9551 participants from the NutriNet-Brasil cohort. Results: Increasing quintiles of the Nova-UPF score were linearly associated with higher risk of BMI gain (relative risk Q5/Q1 = 1·34; 95 % CI 1·15, 1·56), whereas increasing quintiles of the Nova-WPF score were linearly associated with lower risk (relative risk Q5/Q1 = 0·80; 95 % CI 0·69, 0·94). We identified a moderate inverse correlation between the two scores (–0·33) and a partial mediating effect of the alternative score: 15 % for the total effect of the Nova-UPF score and 25 % for the total effect of the Nova-WPF score. Conclusions: The Nova-UPF and Nova-WPF scores are independently associated with mid-term BMI gain further justifying their use in diet quality monitoring systems. https://www.cambridge.org/core/product/identifier/S1368980023001532/type/journal_articleFood processingDiet quality metricsBMICohort studiesBrazil |
| spellingShingle | Francine Silva dos Santos Eurídice Martinez Steele Caroline dos Santos Costa Kamila Tiemman Gabe Maria Alvim Leite Rafael Moreira Claro Mathilde Touvier Bernard Srour Maria Laura da Costa Louzada Renata Bertazzi Levy Carlos Augusto Monteiro Nova diet quality scores and risk of weight gain in the NutriNet-Brasil cohort study Public Health Nutrition Food processing Diet quality metrics BMI Cohort studies Brazil |
| title | Nova diet quality scores and risk of weight gain in the NutriNet-Brasil cohort study |
| title_full | Nova diet quality scores and risk of weight gain in the NutriNet-Brasil cohort study |
| title_fullStr | Nova diet quality scores and risk of weight gain in the NutriNet-Brasil cohort study |
| title_full_unstemmed | Nova diet quality scores and risk of weight gain in the NutriNet-Brasil cohort study |
| title_short | Nova diet quality scores and risk of weight gain in the NutriNet-Brasil cohort study |
| title_sort | nova diet quality scores and risk of weight gain in the nutrinet brasil cohort study |
| topic | Food processing Diet quality metrics BMI Cohort studies Brazil |
| url | https://www.cambridge.org/core/product/identifier/S1368980023001532/type/journal_article |
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