Aging is a global public health concern. From the age of 50, muscle mass, muscle strength and physical performance tend to decline. Sarcopenia and frailty are frequent in community-dwelling older adults and are associated with negative outcomes such as physical disability and mortality. Therefore, the identification of therapeutic strategies to prevent and fight sarcopenia and frailty is of great interest. This systematic review aims to summarize the impact of nutritional interventions alone or combined with other treatment(s) in older community-dwelling adults on (1) the three indicators of sarcopenia, i.e., muscle mass, muscle strength and physical performance; and (2) the hospitalization and readmission rates. The literature search was performed on Medline and included studies published between January 2010 and June 2020. We included randomized controlled trials of nutritional intervention alone or combined with other treatment(s) in community-living subjects aged 65 or older. In total, 28 articles were retained in the final analysis. This systematic review highlights the importance of a multimodal approach, including at least a combined nutritional and exercise intervention, to improve muscle mass, muscle strength and physical performance, in community-dwelling older adults but especially in frail and sarcopenic subjects. Regarding hospitalization and readmission rate, data were limited and inconclusive. Future studies should continue to investigate the effects of such interventions in this population.
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http://dx.doi.org/10.3390/nu12092820 | DOI Listing |
Neurology
February 2025
School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
Background And Objectives: Lipid metabolism in older adults is affected by various factors including biological aging, functional decline, reduced physiologic reserve, and nutrient intake. The dysregulation of lipid metabolism could adversely affect brain health. This study investigated the association between year-to-year intraindividual lipid variability and subsequent risk of cognitive decline and dementia in community-dwelling older adults.
View Article and Find Full Text PDFCad Saude Publica
January 2025
Universidade Estadual de Campinas, Campinas, Brasil.
This study aims to examine the prevalence of abdominal obesity-dynapenia phenotype, identified by the presence of abdominal obesity and dynapenia, and understand its associated factors with a representative sample of the Brazilian population. Data were collected from the baseline of the Brazilian Longitudinal Study of Aging (ELSI-Brasil) 2015-2016. Abdominal obesity was determined by a waist-to-height ratio ≥ 0.
View Article and Find Full Text PDFPhys Ther
January 2025
Aging, Mobility, and Cognitive Neuroscience Laboratory, Department of Physical Therapy, The University of British Columbia, Vancouver, BC, Canada.
Objective: Exercise is an evidence-based strategy for preventing falls. However, its efficacy may vary based on individual characteristics, like gait speed. The study examined whether baseline gait speed modified the effects of home-based exercise on subsequent falls among older adults.
View Article and Find Full Text PDFJ Gerontol B Psychol Sci Soc Sci
January 2025
School of Public Health, Yale University, New Haven, CT, USA.
Objectives: Scholars have increasingly recognized the crucial role that empathy plays as informal caregivers provide unpaid care to their older family and friends (i.e., care recipients).
View Article and Find Full Text PDFAging Clin Exp Res
January 2025
Department of Physical Medicine and Rehabilitation, Kansai Medical University, Osaka, Japan.
Background: Falls on stairs are a major cause of severe injuries among older adults, with stair descent posing significantly greater risks than ascent. Variations in stair descent phenotypes may reflect differences in physical function and biomechanical stability, and their identification may prevent falls.
Aims: This study aims to classify stair descent phenotypes in older adults and investigate the biomechanical and physical functional differences between these phenotypes using hierarchical cluster analysis.
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