Objective: Linguistic style analysis is introduced as a method of nonreactive measurement of cognitive style in individuals with eating disorders (ED).
Method: A journaling exercise was implemented on an ED inpatient unit. Thirty-four written essays collected from an unselected sample of 11 patients were analysed with the Linguistic Inquiry and Word Count, with regard to predefined text categories. At each session, self-report of participant well-being and session impact were assessed.
Results: Compared to essays from a student control group, and message-board entries of individuals who had recovered from an anorexia nervosa (AN), the inpatient journals displayed the highest rates of self-related words, negative emotion words, and the lowest rate of positive emotion words. Inpatients used more anxiety words and fewer words that refer to social processes and eating concerns than individuals who had recovered from an AN. Associations were found between linguistic categories, prewriting well-being, and postwriting evaluation.
Conclusion: Linguistic style analysis offers insights into cognitive styles, and provides a promising approach for their unobtrusive measurement in ED.
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http://dx.doi.org/10.1002/eat.20445 | DOI Listing |
PLoS One
January 2025
Department of Sport Studies, Faculty of Education Studies, Universiti Putra Malaysia, Selangor, Malaysia.
Introduction: Mental fatigue, a psychobiological state induced by prolonged and sustained cognitive tasks, impairs both cognitive and physical performance. Several studies have investigated strategies to counteract mental fatigue. However, potential health risks and contextual restrictions often limit these strategies, which hinder their practical application.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Waisman Center, University of Wisconsin-Madison, Madison, WI, USA.
Background: Lifetime risk for symptomatic Alzheimer's disease (AD) in people with Down syndrome (DS) is 90%, with the age of onset of symptomatic AD ranging widely. Identifying resiliency factors related to a later age of symptoms is of critical importance for the DS community. This study investigated lifestyle factors hypothesized to moderate the association between amyloid-beta (Aβ plaques) and AD symptoms in adults with DS.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of California, San Diego, La Jolla, CA, USA.
Background: Neurocognitive health is influenced by multiple modifiable and non-modifiable lifestyle factors. Machine learning tools offer a promising approach to better understand complex models of cognitive function. We used extreme gradient boosting (XG Boost), an algorithm of decision-tree modeling, to analyze the association between 15 late-life lifestyle and demographic factors with episodic memory performance.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Centre for Brain Research, Indian Institute of Science, Bangalore, Karnataka, India.
Background: In the early stages of typical Alzheimer's disease, there is a well-documented pattern of memory deficits, especially episodic memory, substantiated with evidence of medial temporal lobe atrophy, specifically of the hippocampus in line with the memory deficits. Studies have shown that several other demographic, biological, and lifestyle factors influence memory and there is a need for identifying early risk factors and for the development of clinical intervention programs to delay or prevent cognitive decline. Therefore, the objective of this study is to explore the impact of various factors on episodic memory decline in an urban cohort.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of California, Berkeley, Berkeley, CA, USA.
Background: Although it has been estimated that modifiable risk factors account for around 40% of population variability in dementia risk, understanding how risk factors are related to one another and to brain pathology and cognition has been challenging. We used a clustering approach to examine patterns of risk factor interrelationships and to investigate how these patterns affect relationships between pathology and cognition.
Method: We collected risk factor data concerning health, lifestyle, sleep, and personality from 149 cognitively normal older adults (73±6.
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