Objectives: We used longitudinal data from the Johns Hopkins Precursors Study to test the hypothesis that written propositional density measured early in life is lower for people who develop dementia categorized as Alzheimer's disease (AD). This association was reported in 1996 for the Nun Study, and the Precursors Study offered an unprecedented chance to reexamine it among respondents with different gender, education, and occupation profiles.
Methods: Eighteen individuals classified as AD patients (average age at diagnosis: 74) were assigned 2 sex-and-age matched controls, and propositional density in medical school admission essays (average age at writing: 22) was assessed via Computerized Propositional Idea Density Rater 3 linguistic analysis software. Adjusted odds ratios (ORs) for the matched case-control study were calculated using conditional (fixed-effects) logistic regression.
Results: Mean propositional density is lower for cases than for controls (4.70 vs. 4.99 propositions per 10 words, 1-sided p = .01). Higher propositional density substantially lowers the odds of AD (OR = 0.16, 95% confidence interval = 0.03-0.90, 1-sided p = .02).
Discussion: Propositional density scores in writing samples from early adulthood appear to predict AD in later life for men as well as women. Studies of cognition across the life course might beneficially incorporate propositional density as a potential marker of cognitive reserve.
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http://dx.doi.org/10.1093/geronb/gbq064 | DOI Listing |
PLoS One
January 2025
Institute For Chengdu-Chongqing Economic Zone Development, Chongqing Technology and Business University, Chongqing, China.
The coupled development of new-type urbanization (NTU) and rural revitalization (RR) represents a critical proposition put forth by China for forging a novel paradigm of urban-rural relationship. Initially, this study employs the entropy method to quantify NTU and RR. Subsequently, it carries out a comprehensive analysis concerning their coupled relationship with the relative development degree model (RDDM), coupled coordination degree model (CCDM), Dagum Gini coefficient, kernel density estimation, and Tobit model.
View Article and Find Full Text PDFGels
December 2024
Faculty of Chemistry, Jagiellonian University, 30-387 Kraków, Poland.
Photocatalysis has attracted more and more attention as a possible solution to environmental, water, and energy crises. Although some photocatalytic materials have already proven to perform well, there are still some problems that should be solved for the broad commercialization of photocatalysis-based technologies. Among them, cheap and easy recycling, as well as stability issues, should be addressed.
View Article and Find Full Text PDFIsr J Health Policy Res
December 2024
Department of Emergency & Disaster Management, School of Public Health, Faculty of Medical and Health Sciences, Tel-Aviv University, Chaim Levanon 55, Tel-Aviv-Yafo, 6997801, Israel.
Background: Climate-related disasters have tripled in the past 30 years. Between 2006 and 2016, the global sea levels rose 2.5 times faster than the entire 20th century.
View Article and Find Full Text PDFFront Psychol
October 2024
Department of English, College of Liberal Arts and Sciences, Wayne State University, Detroit, MI, United States.
Introduction: This paper provides proof of concept that neurolinguistic research on human language syntax would benefit greatly by expanding its scope to include evolutionary considerations, as well as non-propositional functions of language, including naming/nicknaming and verbal aggression. In particular, an evolutionary approach can help circumvent the so-called granularity problem in studying the processing of syntax in the brain, that is, the apparent mismatch between the abstract postulates of syntax (e.g.
View Article and Find Full Text PDFFront Psychol
August 2024
Department of Psychology, University of Notre Dame, Notre Dame, IN, United States.
It is important to understand the relationship between cognitive abilities and language processing. Here, we explore a burgeoning area of research that harnesses semantic indices to predict cognitive impairment and track cognitive decline. One such index, , quantifies the information conveyed per language segment.
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