Urinary and Daily Assumption of Polyphenols and Hip-Fracture Risk: Results from the InCHIANTI Study.
Raffaello PellegrinoRoberto PaganelliStefania BandinelliAntonio CherubiniCristina Andrés-LacuevaAngelo Di IorioEleonora SparvieriRaul Zamora RosLuigi FerrucciPublished in: Nutrients (2022)
A high polyphenol intake has been associated with higher bone-mineral density. In contrast, we recently demonstrated that the urinary levels of these micronutrients were associated with the long-term accelerated deterioration of the bone. To expand on the health consequences of these findings, we assessed the association between urinary level and dietary intake of polyphenols and the 9-year risk of hip fractures in the InCHIANTI study cohort. The InCHIANTI study enrolled representative samples from two towns in Tuscany, Italy. Baseline data were collected in 1998 and at follow-up visits in 2001, 2004, and 2007. Of the 1453 participants enrolled at baseline, we included 817 participants in this study who were 65 years or older at baseline, donated a 24 hour urine sample, and underwent a quantitative computerized tomography (pQCT) of the tibia. Fracture events were ascertained by self-report over 9 years of follow-up. Thirty-six hip fractures were reported over the 9-year follow-up. The participants who developed a hip fracture were slightly older, more frequently women, had a higher dietary intake of polyphenols, had higher 24-hour urinary polyphenols excretion, and had a lower fat area, muscle density, and cortical volumetric Bone Mineral Density (vBMD) in the pQCT of the tibia. In logistic regression analyses, the baseline urinary excretion of total polyphenols, expressed in mg as a gallic acid equivalent, was associated with a higher risk of developing a hip fracture. Dietary intake of polyphenols was not associated with a differential risk of fracture. In light of our findings, the recommendation of an increase in dietary polyphenols for osteoporosis prevention should be considered with caution.
Keyphrases
- hip fracture
- bone mineral density
- postmenopausal women
- body composition
- blood pressure
- magnetic resonance
- healthcare
- social media
- public health
- physical activity
- metabolic syndrome
- deep learning
- computed tomography
- machine learning
- magnetic resonance imaging
- type diabetes
- mass spectrometry
- body mass index
- pregnant women
- health information
- insulin resistance
- weight loss
- artificial intelligence
- middle aged
- big data
- electronic health record
- total hip arthroplasty
- health promotion