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Lengelé L, de França NAG, de Souto Barreto P, Rolland Y. Nutritional specificity of frailty: from epidemiological and clinical evidence to potential mechanisms. Curr Opin Clin Nutr Metab Care 2025; 28:1-5. [PMID: 39659209 DOI: 10.1097/mco.0000000000001079] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2024]
Abstract
PURPOSE OF REVIEW Considering the ageing of the population, age-related syndromes, such as frailty, are prominent. In this context, nutrition is a modifiable factor considered a key nonpharmacological approach to prevention and treatment. Yet, its contribution to the frailty pathophysiology is conflicting in the literature. This paper discusses the recent literature (January 2023-June 2024) on the implication of nutrition in frailty management. RECENT FINDINGS Malnutrition is one of the main frailty risk factors. Proteins are the targeted macronutrient for their effects on muscle anabolism, not only in terms of quantity consumed but also in terms of sources. The diversity in plant and animal sources demonstrates better results than relying on a single source. More globally, anti-inflammatory and antioxidant diets are associated with a lower risk of frailty, like the Mediterranean Diet and specific food groups, like seafood, nuts, and seeds. Nutrition is pivotal in frailty prevention and treatment, and multidomain interventions providing exercises seem to yield even better results. SUMMARY Diverse protein sources and anti-inflammatory and antioxidant diets associated with exercises are the primary recommendations for frailty prevention and treatment. However, there is a need to evaluate how to achieve and maintain this healthy behaviour in real life.
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Affiliation(s)
- Laetitia Lengelé
- Metabolism and Nutrition Research Group, Louvain Drug Research Institute, UCLouvain, Université catholique de Louvain, Sint-Lambrechts-Woluwe, Belgium
| | | | - Philipe de Souto Barreto
- IHU HealthAge, Gérontopôle of Toulouse, Institute on Aging, Toulouse University Hospital (CHU Toulouse)
- Maintain Aging Research team, CERPOP, Université de Toulouse, Inserm, Université Paul Sabatier, Toulouse, France
| | - Yves Rolland
- IHU HealthAge, Gérontopôle of Toulouse, Institute on Aging, Toulouse University Hospital (CHU Toulouse)
- Maintain Aging Research team, CERPOP, Université de Toulouse, Inserm, Université Paul Sabatier, Toulouse, France
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Rey-García J, Mérida DM, Donat-Vargas C, Sandoval-Insausti H, Rodríguez-Ayala M, Banegas JR, Rodríguez-Artalejo F, Guallar-Castillón P. Less Favorable Nutri-Score Consumption Ratings Are Prospectively Associated with Abdominal Obesity in Older Adults. Nutrients 2024; 16:1020. [PMID: 38613053 PMCID: PMC11013145 DOI: 10.3390/nu16071020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 03/23/2024] [Accepted: 03/29/2024] [Indexed: 04/14/2024] Open
Abstract
Nutri-Score is a front-of-package (FOP) labeling designed to assist consumers in selecting healthier options at the point of purchase and ultimately enhance their health. This study aims to evaluate the association between the Nutri-Score system and incident abdominal obesity (AO) in community-dwelling older adults. A prospective cohort of 628 individuals aged ≥ 60 were recruited in Spain between 2008-2010 and were reexamined between 2015-2017. Dietary intake was evaluated utilizing a validated computerized dietary history. Food was categorized based on the Nutri-Score system into five levels from A (green, representing the best quality) to E (red, representing the poorest quality). A five-color Nutri-Score dietary index (5-CNS DI) in g/day/kg was calculated for each participant. AO was determined by a waist circumference (WC) of ≥102 cm for men and ≥88 cm for women. Logistic regression models were adjusted for the main potential confounders. During a mean six-year follow-up, 184 incident cases of AO occurred. The odds ratio (OR) and 95% confidence interval (CI) for AO, when comparing the highest and lowest quartiles of the 5-CNS DI, were 2.45 (1.17-5.14), with a p-value for trend of 0.035. In sensitivity analyses, the OR was 2.59 (1.22-5.52, p-trend: 0.032) after adjustment for WC at baseline, and 1.75 (0.74-4.18, p-trend: 0.316) after adjustment for ultra-processed food consumption. In conclusion, less favorable food-consumption ratings in the Nutri-Score are associated with incident AO in the elderly. These findings support the use of this FOP system to potentially improve metabolic health.
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Affiliation(s)
- Jimena Rey-García
- Internal Medicine Department, Hospital Universitario Ramón y Cajal, Instituto Ramón y Cajal de Investigación Sanitaria, 28034 Madrid, Spain;
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, 28029 Madrid, Spain; (D.M.M.); (M.R.-A.); (J.R.B.); (F.R.-A.)
| | - Diana María Mérida
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, 28029 Madrid, Spain; (D.M.M.); (M.R.-A.); (J.R.B.); (F.R.-A.)
| | - Carolina Donat-Vargas
- ISGlobal-Institut de Salut Global de Barcelona, 08036 Barcelona, Spain;
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, 17177 Stockholm, Sweden
| | | | - Montserrat Rodríguez-Ayala
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, 28029 Madrid, Spain; (D.M.M.); (M.R.-A.); (J.R.B.); (F.R.-A.)
- Department of Microbiology and Parasitology, Hospital Universitario La Paz, 28046 Madrid, Spain
| | - José Ramón Banegas
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, 28029 Madrid, Spain; (D.M.M.); (M.R.-A.); (J.R.B.); (F.R.-A.)
- CIBERESP (CIBER of Epidemiology and Public Health), 28029 Madrid, Spain
| | - Fernando Rodríguez-Artalejo
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, 28029 Madrid, Spain; (D.M.M.); (M.R.-A.); (J.R.B.); (F.R.-A.)
- CIBERESP (CIBER of Epidemiology and Public Health), 28029 Madrid, Spain
- IMDEA-Food Institute, Campus de Excelencia Internacional (CEI)/Universidad Autónoma de Madrid (UAM) + Consejo Superior de Investigaciones Científicas (CSIC), 28049 Madrid, Spain
| | - Pilar Guallar-Castillón
- Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autónoma de Madrid, 28029 Madrid, Spain; (D.M.M.); (M.R.-A.); (J.R.B.); (F.R.-A.)
- CIBERESP (CIBER of Epidemiology and Public Health), 28029 Madrid, Spain
- IMDEA-Food Institute, Campus de Excelencia Internacional (CEI)/Universidad Autónoma de Madrid (UAM) + Consejo Superior de Investigaciones Científicas (CSIC), 28049 Madrid, Spain
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