Aim: To investigate the association between cognitive function and body composition in older adults.
Methods: We collected data on 2080 older adults (>60 years of age) from the National Health and Nutrition Examination Survey (NHANES) for the years 1999-2000 and 2001-2002. Candidate variables included: demographic data (sex, age, race, education level, marital status, poverty-to-income ratio), alcohol consumption, cardiovascular disease, diabetes, osteoporosis, total bone mineral density, and total fat mass. A logistic regression model was established to analyze the association between cognitive function and body composition in older adults. In addition, stratified logics regression analysis was performed by sex and age.
Results: Bone mineral density significantly affects cognitive function in older adults (<0.01). When examining the data according to sex, this correlation is present for women ( < 0.01). For men, though, it is not significant ( = 0.081). Stratified by age, total bone mineral density was significantly correlated with cognitive function in 60-70 and 70-80 years old people, but not in older adults older than 80 years(for 60-70 years old, = 0.019; for 70-80 years old, = 0.022). There was no significant correlation between total bone mineral density and cognitive function ( = 0.575).
Conclusion: The decrease of total bone mineral density was significantly correlated with cognitive decline in the older adults, especially among women and older people in the 60 to 80 age group. There was no connection between total fat mass, total percent fat, total lean mass, appendicular lean mass, appendicular lean mass /BMI and cognitive function in the older adults.
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http://dx.doi.org/10.3389/fnagi.2024.1372583 | DOI Listing |
BMC Geriatr
January 2025
School of Medicine, Qom University of Medical Sciences, Qom, Iran.
Introduction: Intrinsic Capacity in integrated geriatric care emphasizes the importance of a thorough functional assessment. Monitoring the intrinsic capacity of older individuals provides standardized and reliable information to prevent early disability. This study assessed the relationship between intrinsic capacity and functional ability in older adults.
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January 2025
Centre for Brain, Mind and Markets, Faculty of Business and Economics, The University of Melbourne, Melbourne, Australia.
Metacognition, the ability to monitor and reflect on our own mental states, enables us to assess our performance at different levels - from confidence in individual decisions to overall self-performance estimates (SPEs). It plays a particularly important part in computationally complex decisions that require a high level of cognitive resources, as the allocation of such limited resources presumably is based on metacognitive evaluations. However, little is known about metacognition in complex decisions, in particular, how people construct SPEs.
View Article and Find Full Text PDFMem Cognit
January 2025
Department of Cognitive and Brain Sciences, and School of Brain Sciences and Cognition , Ben-Gurion University of the Negev, 84105, Beer-Sheva, Israel.
The Stroop task is widely used to study attentional control and cognitive flexibility. However, questions about its sensitivity to training and the impact of task conflict on attentional control remain open. We investigated the effects of practice and task conflict on attentional control in the Stroop task, with participants completing four sessions of a Stroop task over 3 weeks in low and high task-conflict conditions.
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January 2025
HeartMath Institute, Boulder Creek, CA, 95006, USA.
This global study analyzed data from the largest dataset ever studied in the Heart Rate Variability (HRV) biofeedback field, comprising 1.8 million user sessions collected from users of a mobile app during 2019 and 2020. We focused on HRV Coherence, which is linked to improved emotional stability and cognitive function.
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January 2025
Department of Psychological Sciences, Rice University, 6100 Main St, Houston, TX, 77005, USA.
Retirement has been associated with cognitive decline beyond normal age-related decline. However, there are many individual differences in retirement that can influence cognition. Subclinical depressive symptoms are common in late life and are associated with general memory decline and a bias towards remembering negative events (i.
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