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Published on: September 18, 2018
Food consumption based on the nutrient profile system underlying the Nutri-Score and renal function in older adults
Henry Montero-Salazar1, Pilar Guallar-Castillón2, Jose R Banegas1
1Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid-IdiPaz, CIBERESP (CIBER of Epidemiology and Public Health), Madrid, Spain.
Background:
The impact of the Nutri-Score labelling system on renal function is unknown.
Objective:
To assess the association between food consumption based on the nutrient profile system underlying the Nutri-Score and renal function decline in older adults.
Methods:
We used data from the Spain-based Seniors-ENRICA cohort, a study with 1312 community-dwelling adults aged ≥60 years recruited during 2008-2010 and followed up to December 2015. At baseline, a validated dietary history was obtained. Based on their nutritional quality, foods consumed were categorized into five labels (A/Green-best quality, B, C, D, E/Red-worst quality) using the established Nutri-Score algorithm. For each participant, a Nutri-Score dietary index (DI) was calculated in g/day/kg of weight. At baseline and at follow-up, measured serum creatinine (SCr) and estimated glomerular filtration rate (eGFR) levels were obtained, and time changes were calculated. A combined outcome for renal decline was defined as: any increase in SCr or any decrease in eGFR beyond expected-for-age. Statistical analyses were performed with logistic regression adjusting for socioeconomic, lifestyle, total energy intake, fresh foods, and comorbidity confounders.
Results:
A total of 183 cases of renal-function decline occurred over a mean 6-year follow-up. Participants with a higher (less favorable) Nutri-Score DI (interquartile range (IQR)13.2-17.7 (g/day/kg of weight); 46 cases) had higher probability of renal decline than those with a lower Nutri-Score DI (IQR 36.6-46.2; 44 cases); the corresponding odds ratios (95% confidence interval) across increasing quartiles of Nutri-Score DI were 1 (reference), 1.26 (0.78-2.04), 1.55 (0.92-2.62), and 1.82 (1.01-3.30), P-trend = 0.045. Per each 10-point increase in the Nutri-Score DI the odds of renal decline increased by 27% (6%-52%).
Conclusions:
Higher Nutri-Score DI, reflecting the consumption of foods with less favourable Nutri-Score rating, was associated with higher kidney function decline in older adults. Consequently, Nutri-Score labeling might be a useful policy tool for preventing kidney function decline, adding to the potential health benefits of this front-of-pack labelling system.
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