Individuals typically experience changes in physical health and cognitive ability across the life span. Although these constructs dynamically relate to one another, the temporal ordering of dynamic changes in physical health and cognitive ability is not well-established. Therefore, we examined the temporal ordering of the dynamic, bidirectional relationship between physical health and memory across ages 50-87 with Bivariate Dual Change Score Models (BDCSM). Employing a model-comparison approach, we tested whether inclusion of specific directional coupling parameters resulted in a meaningful improvement in model fit, controlling for education, gender, and race. The current sample included 9,103 individuals who participated in Waves 4-11 (1998-2012) of the Health and Retirement Study. Results indicated that both memory and physical health declined across ages 50-87. Furthermore, level of memory at a given time point was positively associated with subsequent change in physical health, meaning higher memory was linked to less decline in physical health by the subsequent time point. The opposite effect, namely physical health predicting memory, was much weaker. Age differences were also evident in the bidirectional coupling model, indicating that old-old individuals (i.e., ages 75-87) exhibited a much stronger coupling effect from memory to change in physical health than younger individuals (i.e., ages 50-74). In conclusion, memory buffers decline in physical health across mid-to-later life, and this effect is especially strong at older ages. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
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http://dx.doi.org/10.1037/pag0000579 | DOI Listing |
Heliyon
January 2025
Department of Food Sensory and Cognitive Science, Research Institute of Food Science and Technology (RIFST), Mashhad, Iran.
The rapid evolution of nanotechnology has catalyzed significant advancements in the design and application of nano-sensors, particularly within the food industry, where ensuring safety and quality is of paramount concern. This review explores the multifaceted role of nano-sensors constructed from diverse nanomaterials in detecting foodborne pathogens and toxins, offering a comprehensive analysis of their operational principles, sensitivity, and specificity. Nano-sensors leverage unique physical and chemical properties at the nanoscale to enhance the detection of microbial contamination, actively contributing to food safety protocols.
View Article and Find Full Text PDFBackground And Aims: Body composition parameters associated with aerobic fitness, mirrored by maximal oxygen consumption (V̇Omax), have recently gained interest as indicators of physical efficiency in facioscapulohumeral dystrophy (FSHD). Bioimpedance analysis (BIA) allows a noninvasive and repeatable estimate of body composition but is based on the use of predictive equations which, if used in cohorts with different characteristics from those for which the equation was originally formulated, could give biased results. Instead, the phase angle (PhA), a BIA raw bioelectrical parameter reflecting body fluids distribution, could provide reliable data for such analysis.
View Article and Find Full Text PDFCureus
December 2024
Family Medicine, Family Health Unit (USF) Almedina, Local Health Unit of Trás-os-Montes and Alto Douro (ULSTMAD), Lamego, PRT.
Easy bruising and ecchymosis are common symptoms in clinical practice, yet distinguishing benign from clinically significant cases can be challenging. We report the case of a 46-year-old woman who presented in December 2023 with easy bruising and increased menstrual flow, revealing new-onset pancytopenia in laboratory tests. Initially diagnosed with Acute Myeloid Leukemia inversion (inv) (16), subsequent results were inconclusive, leading to a diagnosis of Paroxysmal Nocturnal Hemoglobinuria (PNH).
View Article and Find Full Text PDFDigit Health
January 2025
Department of Communication, Institute of Collaborative Innovation, Center for Research in Greater Bay Area, University of Macau, Macau, China.
Background: China is experiencing a rapid increase in its aging population, leading to the emergence of significant challenges to improve the quality of life (QoL) of older adults. The study aims to explore the potential benefits of using mobile health technology in improving the QoL for older Chinese adults.
Method: This study utilized a subsample of adults aged 60 and above from a cross-sectional, population-based national survey conducted among Chinese adults (N = 852).
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