Nutrient Intake and Its Association with Appendicular Total Lean Mass and Muscle Function and Strength in Older Adults: A Population-Based Study.
Miguel Germán BordaJessica SamuelssonTommy CederholmJonathan Patricio BalderaMario Ulises Pérez-ZepedaGeorge E BarretoAnna ZettergrenSilke KernLina RydénMariana Gonzalez-LaraSalomón Salazar-LondoñoGustavo DuqueIngmar SkoogDag AarslandPublished in: Nutrients (2024)
Treatment options for sarcopenia are currently limited, and primarily rely on two main therapeutic approaches: resistance-based physical activity and dietary interventions. However, details about specific nutrients in the diet or supplementation are unclear. We aim to investigate the relationship between nutrient intake and lean mass, function, and strength. Data were derived from the Gothenburg H70 birth cohort study in Sweden, including 719,70-year-olds born in 1944 (54.1% females). For independent variables, the diet history method (face-to-face interviews) was used to estimate habitual food intake during the preceding three months. Dependent variables were gait speed (muscle performance), hand grip strength (muscle strength), and the appendicular lean soft tissue index (ALSTI). Linear regression analyses were performed to analyze the relationship between the dependent variables and each of the covariates. Several nutrients were positively associated with ALSTI, such as polyunsaturated fatty acids (DHA, EPA), selenium, zinc, riboflavin, niacin equivalent, vitamin B12, vitamin D, iron, and protein. After correction for multiple comparisons, there were no remaining correlations with handgrip and gait speed. Findings of positive correlations for some nutrients with lean mass suggest a role for these nutrients in maintaining muscle volume. These results can be used to inform clinical trials to expand the preventive strategies and treatment options for individuals at risk of muscle loss and sarcopenia.
Keyphrases
- physical activity
- skeletal muscle
- heavy metals
- clinical trial
- bone mineral density
- weight loss
- body mass index
- gestational age
- weight gain
- electronic health record
- risk assessment
- body composition
- cerebral palsy
- pregnant women
- fatty acid
- sleep quality
- amino acid
- preterm birth
- phase ii
- artificial intelligence
- data analysis