Evidence map›Paper›PMID 39985637›Full record

ArticleGeroScience2025

ChatGPT-estimated occupational complexity predicts cognitive outcomes and cortical thickness above and beyond socioeconomic status among older adults.

Junhong Yu, Ee-Heok Kua, Rathi Mahendran, Ted Kheng Siang Ng

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Article in GeroScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Junhong YuPsychology, School of Social Sciences, Nanyang Technological University, 48 Nanyang Avenue, Singapore, 639798, Singapore. junhong.yu@ntu.edu.sg.ORCID 0000-0002-2563-9658
Ee-Heok KuaYeo Boon Kim Mind Science Center, Department of Psychological Medicine, National University of Singapore, Singapore, 119228, Singapore.
Rathi MahendranYeo Boon Kim Mind Science Center, Department of Psychological Medicine, National University of Singapore, Singapore, 119228, Singapore.
Ted Kheng Siang NgRush Institute for Healthy Aging, Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many aging cohort studies have collected data on participants' job titles, yet these job titles were seldom analyzed within the cognitive aging context despite their relevance to neurocognition, due to difficulties in analyzing these job titles quantitatively. While it is possible to rate these jobs' occupational complexity (OC) using job classification systems, this can be somewhat labor-intensive and prone to human errors. To this end, we demonstrate a novel and simple method to extract OC ratings from job titles using ChatGPT. Then, we showcased the utility of these ratings in predicting cognitive and structural brain outcomes, especially compared to other socioeconomic status (SES) indicators. Community-dwelling older adults (N = 238, age

Indexed as

Brain Cortical ThicknessCognitionCognitive AgingCognitive DysfunctionOccupationsSocial ClassAgedAged, 80 and overFemaleGenerative Artificial IntelligenceHumansIndependent LivingMagnetic Resonance ImagingMaleNeuropsychological TestsAgingCognitive functionsCortical thicknessGray matter volumeOccupational complexity

Identifiers

PMID39985637
PMCPMC12397022

What Socratic holds

Textmetadata
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.