Food consumption based on the nutrient profile system underlying the Nutri-Score and renal function in older adults
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-base...
| Autores: | , , , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | Universidad Autónoma de Madrid |
| Repositorio: | Biblos-e Archivo. Repositorio Institucional de la UAM |
| Idioma: | inglés |
| OAI Identifier: | oai:repositorio.uam.es:10486/703238 |
| Acceso en línea: | http://hdl.handle.net/10486/703238 https://dx.doi.org/10.1016/j.clnu.2022.05.004 |
| Access Level: | acceso abierto |
| Palabra clave: | Nutri-Score Public health Renal function Seniors-ENRICA 1 study Medicina |
| Sumario: | 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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