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Details

Autor(en) / Beteiligte
Titel
Nova diet quality scores and risk of weight gain in the NutriNet-Brasil cohort study
Ist Teil von
  • Public health nutrition, 2023-11, Vol.26 (11), p.2366-2373
Ort / Verlag
Cambridge, UK: Cambridge University Press
Erscheinungsjahr
2023
Link zum Volltext
Quelle
MEDLINE
Beschreibungen/Notizen
  • To assess the prospective association of two diet quality scores based on the Nova food classification with BMI gain. 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/m ) increase of ≥5 % was coded as BMI gain. Brazil. 9551 participants from the NutriNet-Brasil cohort. 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. The Nova-UPF and Nova-WPF scores are independently associated with mid-term BMI gain further justifying their use in diet quality monitoring systems.
Sprache
Englisch
Identifikatoren
ISSN: 1368-9800
eISSN: 1475-2727
DOI: 10.1017/S1368980023001532
Titel-ID: cdi_doaj_primary_oai_doaj_org_article_f285461d9d3248f192eead3ba9f2d6b8

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