Association between dietary (poly)phenol intake and the ATHLOS Healthy Ageing Scale in the Polish arm of the HAPIEE study
Por:
Stepaniak U, Grosso G, Polak M, Gradowicz-Prajsnar B, Kozela M, Bobak M, Sánchez-Niubó A, Stefler D, Haro JM and Pajak A
Publicada:
10 jul 2024
Ahead of Print:
1 jul 2024
Resumen:
Inverse association between (poly)phenol intake and age-related disorders has been demonstrated; however, little is known whether they affect comprehensively assessed healthy aging. The aim of this study was to evaluate the associations between the intake of (poly)phenol (including selected classes and subclasses) and healthy aging scores related to biopsychosocial aspects of health and functioning. A cross-sectional study was performed using data on 9774 randomly selected citizens of Krakow (Poland) who were 45-69 years of age. Dietary (poly)phenol intake was evaluated using a food frequency questionnaire and matching food consumption data with the Phenol-Explorer database. The healthy aging scores were estimated from the ATHLOS Healthy Ageing Scale (HAS) developed by the Ageing Trajectories of Health-Longitudinal Opportunities and Synergies (ATHLOS) consortium. Beta coefficients were calculated using multivariable linear regression models. In multivariable adjusted models, there were significant positive associations between the ATHLOS HAS score and intake of total (poly)phenols (b per increase of 100 mg/day = 0.081; 95% CI, 0.050; 0.112) and among main classes of (poly)phenols with phenolic acids (b = 0.139; 95% CI, 0.098; 0.180). Intake of remaining classes of (poly)phenols (flavonoids, lignans, stilbenes, and others) was not related to the ATHLOS HAS score. Among individual classes studied, hydroxycinnamic acids, flavonols, flavones, and dihydrochalcones were associated with better healthy aging. The findings suggest the beneficial effect of total dietary (poly)phenol and some classes and subclasses of (poly)phenol intake in terms of healthy aging in Poland. These findings should be confirmed in other settings and with prospective data.
Filiaciones:
Stepaniak U:
Department of Epidemiology and Population Studies, Jagiellonian University Medical College, Skawinska Street 8, 31-066, Krakow, Poland
Grosso G:
Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy
Polak M:
Department of Epidemiology and Population Studies, Jagiellonian University Medical College, Skawinska Street 8, 31-066, Krakow, Poland
Gradowicz-Prajsnar B:
Department of Epidemiology and Population Studies, Jagiellonian University Medical College, Skawinska Street 8, 31-066, Krakow, Poland
Kozela M:
Department of Epidemiology and Population Studies, Jagiellonian University Medical College, Skawinska Street 8, 31-066, Krakow, Poland
Bobak M:
Department of Epidemiology and Public Health, University College London, London, UK
Sánchez-Niubó A:
Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain
Department of Social Psychology and Quantitative Psychology, University of Barcelona, Barcelona, Spain
Research, Innovation and Teaching Unit, Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Barcelona, Spain
Stefler D:
Department of Epidemiology and Public Health, University College London, London, UK
Haro JM:
Centro de Investigación Biomédica en Red de Salud Mental, CIBERSAM, Madrid, Spain
Research, Innovation and Teaching Unit, Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Barcelona, Spain
Pajak A:
Department of Epidemiology and Population Studies, Jagiellonian University Medical College, Skawinska Street 8, 31-066, Krakow, Poland
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