Literature DB >> 26348449

Prospective associations between a dietary index based on the British Food Standard Agency nutrient profiling system and 13-year weight gain in the SU.VI.MAX cohort.

Chantal Julia1, Pauline Ducrot2, Camille Lassale2, Léopold Fézeu2, Caroline Méjean2, Sandrine Péneau2, Mathilde Touvier2, Serge Hercberg1, Emmanuelle Kesse-Guyot2.   

Abstract

BACKGROUND/
OBJECTIVES: The scoring of the nutritional quality of individual foods using nutrient profiling systems (NPS) has been suggested as a basis for public health preventive measures. Used for front-of-package labeling, such scoring would help consumers in making healthier food choices. An individual dietary score based on the Food Standards Agency NPS has been developed (FSA-NPS-DI), but its long term association with weight gain has not been investigated. Our objectives were to investigate long-term associations between the FSA-NPS DI and weight gain and overweight/obesity onset in a middle-aged French population. SUBJECTS/
METHODS: Subjects included in the French SU.VI.MAX cohort with at least three dietary records at baseline and available anthropometric measurements at baseline and at a 13-year follow-up examination were included in the study. FSA-NPS DI at baseline was computed for each subject. Association between FSA-NPS DI and weight and BMI gain were investigated with ANCOVA and associations with overweight/obesity onset with logistic regression models.
RESULTS: Higher baseline FSA-NPS DI (reflecting a poorer diet) was associated with higher weight and BMI gain (beta Q4 versus Q1=0.70; (95%CI 0.01; 1.38), P for trend=0.04). A 16% higher risk of obesity for a 1 point increase of FSA-NPS DI was observed only in men.
CONCLUSIONS: Our results suggest that a shift in nutritional quality of the foods and beverages within an individual's diet, as expressed by the FSA-NPS DI would be associated with lower weight gain in the long term. Using the FSA-NPS as a basis for food labeling might therefore contribute to tackle obesity.
Copyright © 2015. Published by Elsevier Inc.

Entities:  

Keywords:  Cohort study; Dietary score; Nutrient profiling systems; Obesity; Weight gain

Mesh:

Year:  2015        PMID: 26348449     DOI: 10.1016/j.ypmed.2015.08.022

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  24 in total

1.  Cross-sectional comparisons of dietary indexes underlying nutrition labels: nutri-score, Canadian 'high in' labels and Diabetes Canada Clinical Practices (DCCP).

Authors:  Valérie Deschamps; Chantal Julia; Laura Paper; Mavra Ahmed; Jennifer J Lee; Emmanuelle Kesse-Guyot; Mathilde Touvier; Serge Hercberg; Pilar Galan; Benoît Salanave; Charlotte Verdot; Mary R L'Abbé
Journal:  Eur J Nutr       Date:  2022-08-12       Impact factor: 4.865

2.  Front-of-pack (FOP) labelling systems, nutrition education, and obesity prevention: nutri-score and nutrinform battery need more research.

Authors:  Michele O Carruba; Alexis Malavazos; Alessandra Valerio; Enzo Nisoli
Journal:  Eat Weight Disord       Date:  2021-12-02       Impact factor: 3.008

3.  Ten-year changes in diet quality among adolescents and young adults (Food Consumption Survey 2004 and 2014, Belgium).

Authors:  Lucille Desbouys; Manon Rouche; Karin De Ridder; Camille Pedroni; Katia Castetbon
Journal:  Eur J Nutr       Date:  2021-02-11       Impact factor: 5.614

4.  Research and lobbying conflicting on the issue of a front-of-pack nutrition labelling in France.

Authors:  Chantal Julia; Serge Hercberg
Journal:  Arch Public Health       Date:  2016-11-28

5.  Perception of different formats of front-of-pack nutrition labels according to sociodemographic, lifestyle and dietary factors in a French population: cross-sectional study among the NutriNet-Santé cohort participants.

Authors:  Chantal Julia; Sandrine Péneau; Camille Buscail; Rebeca Gonzalez; Mathilde Touvier; Serge Hercberg; Emmanuelle Kesse-Guyot
Journal:  BMJ Open       Date:  2017-06-15       Impact factor: 2.692

6.  Are self-reported unhealthy food choices associated with an increased risk of breast cancer? Prospective cohort study using the British Food Standards Agency nutrient profiling system.

Authors:  Mélanie Deschasaux; Chantal Julia; Emmanuelle Kesse-Guyot; Lucie Lécuyer; Solia Adriouch; Caroline Méjean; Pauline Ducrot; Sandrine Péneau; Paule Latino-Martel; Léopold K Fezeu; Philippine Fassier; Serge Hercberg; Mathilde Touvier
Journal:  BMJ Open       Date:  2017-06-08       Impact factor: 2.692

7.  Association between intake of less-healthy foods defined by the United Kingdom's nutrient profile model and cardiovascular disease: A population-based cohort study.

Authors:  Oliver T Mytton; Nita G Forouhi; Peter Scarborough; Marleen Lentjes; Robert Luben; Mike Rayner; Kay Tee Khaw; Nicholas J Wareham; Pablo Monsivais
Journal:  PLoS Med       Date:  2018-01-04       Impact factor: 11.069

8.  Evaluation of the "Eat Better Feel Better" Cooking Programme to Tackle Barriers to Healthy Eating.

Authors:  Ada L Garcia; Rebecca Reardon; Elizabeth Hammond; Alison Parrett; Anne Gebbie-Diben
Journal:  Int J Environ Res Public Health       Date:  2017-04-04       Impact factor: 3.390

9.  Defining 'Unhealthy': A Systematic Analysis of Alignment between the Australian Dietary Guidelines and the Health Star Rating System.

Authors:  Alexandra Jones; Karin Rådholm; Bruce Neal
Journal:  Nutrients       Date:  2018-04-18       Impact factor: 5.717

10.  Nutritional quality of meals and snacks assessed by the Food Standards Agency nutrient profiling system in relation to overall diet quality, body mass index, and waist circumference in British adults.

Authors:  Kentaro Murakami
Journal:  Nutr J       Date:  2017-09-13       Impact factor: 3.271

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