Marina M. Norde
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Marina M. Norde has a total of 10 co-authors. Here are the top co-authors by number of shared publications:
Aline M. de Carvalho
Department of Nutrition, School of Public Health of the University of Sao Paulo, Sao Paulo, Brazil
1 shared publicationAna Carolina Vasques
Obesity and Comorbidities Research Center, University of Campinas, Campinas, Brazil
1 shared publicationBruno Geloneze
Obesity and Comorbidities Research Center, University of Campinas, Campinas, Brazil
1 shared publicationDirce M. L. Marchioni
Department of Nutrition, School of Public Health of the University of Sao Paulo, Sao Paulo, Brazil
1 shared publicationEdward Giovannucci
Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, USA
1 shared publicationJoanne Arsenaut
Intake-Center for Dietary Assessment, FHI 360, Washington, USA
1 shared publication
Latest Publications
- Open Access
- 17 April 2024
- Published by Springer Nature in Nutrition Journal
- Vol. 23 (1) , 1-14
The global diet quality score as an indicator of adequate nutrient intake and dietary quality – a nation-wide representative study
Background: The Global Diet Quality Score (GDQS) was developed to be a simple, timely and cost-effective tool to track, simultaneously, nutritional deficiency and non-communicable disease risks from diet in diverse settings. The objective was to investigate the performance of GDQS as an indicator of adequate nutrient intake and dietary quality in a national-representative sample of the Brazilian population. Methods: Nationally-representative data from 44,744 men and non-pregnant and non-lactating women aging ≥ 10 years, from the Brazilian National Dietary Survey were used. Dietary data were collected through two 24-h recalls (24HR). The GDQS was calculated and compared to a proxy indicator of nutrient adequate intake (the Minimum Dietary Diversity for Women—MDD-W) and to an indicator of high-risk diet for non-communicable diseases (caloric contribution from ultra-processed foods—UPF). To estimate the odds for overall nutrient inadequacy across MDD-W and GDQS quintiles, a multiple logistic regression was applied, and the two metrics’ performances were compared using Wald’s post-test. Results: The mean GDQS for Brazilians was 14.5 (0–49 possible range), and only 1% of the population had a low-risk diet (GDQS ≥ 23). The GDQS mean was higher in women, elderly individuals and in higher-income households. An inverse correlation was found between the GDQS and UPF (rho (95% CI) = -0.20(-0.21;-0.19)). The odds for nutrient inadequacy were lower as quintiles of GDQS and MDD-W were higher (p-trend < 0.001), and MDD-W had a slightly better performance than GDQS (p-diff < 0.001). Having a low-risk GDQS (≥ 23) lowered the odds for nutrient inadequacy by 74% (95% CI:63%-81%). Conclusion: The GDQS is a good indicator of overall nutrient adequacy, and correlates well with UPF in a nationally representative sample of Brazil. Future studies must investigate the relationship between the GDQS and clinical endpoints, strengthening the recommendation to use this metric to surveillance dietary risks.
- 17 April 2024
- Published by Springer Nature in Nutrition Journal
- Vol. 23 (1) , 1-14
Open AccessThe global diet quality score as an indicator of adequate nutrient intake and dietary quality – a nation-wide representative study
Background: The Global Diet Quality Score (GDQS) was developed to be a simple, timely and cost-effective tool to track, simultaneously, nutritional deficiency and non-communicable disease risks from diet in diverse settings. The objective was to investigate the performance of GDQS as an indicator of adequate nutrient intake and dietary quality in a national-representative sample of the Brazilian population. Methods: Nationally-representative data from 44,744 men and non-pregnant and non-lactating women aging ≥ 10 years, from the Brazilian National Dietary Survey were used. Dietary data were collected through two 24-h recalls (24HR). The GDQS was calculated and compared to a proxy indicator of nutrient adequate intake (the Minimum Dietary Diversity for Women—MDD-W) and to an indicator of high-risk diet for non-communicable diseases (caloric contribution from ultra-processed foods—UPF). To estimate the odds for overall nutrient inadequacy across MDD-W and GDQS quintiles, a multiple logistic regression was applied, and the two metrics’ performances were compared using Wald’s post-test. Results: The mean GDQS for Brazilians was 14.5 (0–49 possible range), and only 1% of the population had a low-risk diet (GDQS ≥ 23). The GDQS mean was higher in women, elderly individuals and in higher-income households. An inverse correlation was found between the GDQS and UPF (rho (95% CI) = -0.20(-0.21;-0.19)). The odds for nutrient inadequacy were lower as quintiles of GDQS and MDD-W were higher (p-trend < 0.001), and MDD-W had a slightly better performance than GDQS (p-diff < 0.001). Having a low-risk GDQS (≥ 23) lowered the odds for nutrient inadequacy by 74% (95% CI:63%-81%). Conclusion: The GDQS is a good indicator of overall nutrient adequacy, and correlates well with UPF in a nationally representative sample of Brazil. Future studies must investigate the relationship between the GDQS and clinical endpoints, strengthening the recommendation to use this metric to surveillance dietary risks.