Objectives: Disuse theory predicts that cognitive function is vulnerable to transitions that remove factors that support cognitive skills. We sought to investigate whether non-employment over the working life was associated with cognitive function and decline in later life (≥60 years old), and possible gender differences in the association.
Study Design: Longitudinal study.
Method: We used data from the MRC National Survey of Health and Development (NSHD). Cognitive function was measured by verbal memory and processing speed. Linear regression was used to test associations between non-employment duration and cognitive function at age 60-64, and conditional change models were used to examine associations between non-employment and cognitive decline from age 60-64 to 69. Gender specific models were adjusted for childhood factors and educational attainment, adult occupational features, and adult health and lifestyle indicators. Missing data was accounted for using multiple imputation by chained equations.
Results: In fully adjusted models >15 years non-employment was associated with lower cognitive function at age 60-64 in men (verbal memory: -0.72, 95%CI -1.18, -0.26; processing speed: -0.61, 95%CI -1.00, -0.28), but not women. Fully adjusted models also indicated that long-term and intermediate lengths of non-employment were associated with faster decline in verbal memory (-0.38, 95%CI -0.75, -0.02) and processing speed (-0.28, 95%CI -0.52, -0.03) in men. There was no association between non-employment and cognitive decline among women.
Conclusion: Long-term non-employment in men, but not women, is associated with accelerated cognitive ageing.
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http://dx.doi.org/10.1016/j.puhip.2024.100563 | DOI Listing |
Paediatr Drugs
January 2025
Division of Endocrinology, Department of Pediatrics, University of Florida, PO Box 100296, Gainesville, FL, 32610, USA.
Prader-Willi syndrome is a rare neurodevelopmental disorder that impacts the musculoskeletal, endocrine, pulmonary, neurologic, ocular, and gastrointestinal systems. In addition, individuals with Prader-Willi syndrome have issues with cognitive development, characteristic behavioral problems, and perhaps most profoundly, appetite control. Currently, the only US Food and Drug Administration-approved therapy for Prader-Willi syndrome is growth hormone, which has been Food and Drug Administration approved for > 20 years for the treatment of growth failure in Prader-Willi syndrome.
View Article and Find Full Text PDFNeurosci Bull
January 2025
CAS Key Laboratory of Brain Function and Disease, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230026, China.
Geroscience
January 2025
Psychology, School of Social Sciences, Nanyang Technological University, 48 Nanyang Avenue S639818, Singapore, Singapore.
In Alzheimer's disease (AD), the accumulation of neuropathological markers such as amyloid-β plaques, neurofibrillary tangles, and cortical neurodegeneration occurs over many years before overt manifestation of cognitive impairment. There is thus a need for neuropsychological markers that are indicative of pathological changes in the early stages of the disease. Intra-individual cognitive variability (IICV), defined as the variation of an individual's performance across cognitive domains, is a promising neuropsychological marker measuring heterogeneous changes in cognition that may reflect these early pathological changes.
View Article and Find Full Text PDFAnn Nucl Med
January 2025
Department of Radiological Sciences, School of Health Science, Fukushima Medical University, 10-6 Sakae, Fukushima City, Fukushima, 960-8516, Japan.
Objective: This study aims to accurately classify ATN profiles using highly specific amyloid and tau PET ligands and MRI in patients with cognitive impairment and suspected Alzheimer's disease (AD). It also aims to explore the relationship between quantified amyloid and tau deposition and cognitive function.
Methods: Twenty-seven patients (15 women and 12 men; age range: 64-81 years) were included in this study.
Brain Topogr
January 2025
Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, 247667, India.
EEG involves recording electrical activity generated by the brain through electrodes placed on the scalp. Imagined speech classification has emerged as an essential area of research in brain-computer interfaces (BCIs). Despite significant advances, accurately classifying imagined speech signals remains challenging due to their complex and non-stationary nature.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!