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Updated: Apr 24, 2026

An Experimental Paradigm for Measuring the Effects of Ageing on Sentence Processing
Published on: October 25, 2019
Propositional idea density in older men's written language: findings from the HIMS study using computerised analysis
Elizabeth Spencer1, Alison Ferguson, Hugh Craig
1School of Humanities and Social Science, University of Newcastle , Callaghan, Newcastle , Australia .
This study analyzed written language from older Australian men, finding text length impacts idea density. Propositional idea density scores were slightly lower for non-native English speakers but showed no link to education.
Area of Science:
- Linguistics
- Gerontology
- Cognitive Science
Background:
- Cognitive decline is often linked to linguistic function decline.
- Previous research suggests a connection between language and cognitive abilities in aging.
- The Health in Men's Study (HIMS) provides a cohort for investigating aging-related changes.
Purpose of the Study:
- To investigate the informativeness of written language samples in older Australian men.
- To assess the relationship between linguistic measures and demographic factors like education and first language.
- To compare Propositional Idea Density (PD) in this cohort with previous findings.
Main Methods:
- Analysis of written language samples from 76-93 year old Australian men in the HIMS cohort.
- Utilized the Computerised Propositional Idea Density Rater (CPIDR 5.1) to quantify idea density.
- Employed a linear-mixed model for statistical analysis of 60,255 words across 1147 comments.
Main Results:
- No significant relationship was found between education level and Propositional Idea Density (PD) (p=0.79).
- Participants for whom English was not their first language had slightly lower PD scores (-0.018 per word).
- Text length significantly affected PD (p<0.0001), with longer texts showing higher mean PD.
Conclusions:
- Text length is a significant factor influencing linguistic informativeness in older men.
- PD in this cohort was higher than previously reported for men but lower than for Australian women.
- Findings suggest linguistic analysis can reveal nuances in cognitive function related to aging and language background.
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