Evidence map›Paper›PMID 40999725›Full record

ArticleInternational journal of geriatric psychiatry2025

Prevalence of Chronic Diseases by Cognitive Function Level and Age Group Among Middle-Aged and Older Korean Adults.

Sanghun Nam, Sojung Park, Suyeong Bae, Ickpyo Hong

Abstract read
In one paragraph

Article in International journal of geriatric psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sanghun NamDepartment of Occupational Therapy, Graduate School, Yonsei University, Gangwon-do, Republic of Korea.ORCID https://orcid.org/0000-0002-0842-8955
Sojung ParkBrown School, Washington University in Saint Louis, St. Louis, Missouri, USA.
Suyeong BaeDepartment of Occupational Therapy, Graduate School, Yonsei University, Gangwon-do, Republic of Korea.ORCID https://orcid.org/0000-0003-0739-9424
Ickpyo HongDepartment of Occupational Therapy, College of Software and Digital Healthcare Convergence, Yonsei University, Gangwon-do, Republic of Korea.ORCID https://orcid.org/0000-0001-5404-7646

Funding

National Research Foundation of Korea 2021S1A3A2A02096338
6 · The paper itself

Abstract

objectivesThis study aimed to investigate the age-dependent association between new cognitive classification and chronic diseases among middle-aged and older adults using Poisson regression analysis.

methodsWe included 6940 people from the 2018 Korean Longitudinal Study of Aging. Cognitive status was classified as normal, moderate, and severe based on the participants' Korean Mini-Mental State Examination scores and instrumental activities of daily living. Poisson regression analysis was performed to predict the number of chronic diseases in middle-aged and older adults with grade three cognitive status. The number of predicted events at each cognitive level was calculated according to age.

resultsIn the normal cognitive group, most of the participants were females 2515 (54.03), and the average age was 66.50 (SD = 8.62). Compared to the normal cognitive group (n = 4665), the incidence of chronic disease in the moderate cognitive impairment group (n = 1316) was 0.07 times that of the normal group, whereas, in the severe cognitive impairment group (n = 420), it was 0.21 times that of the normal group.

conclusionsHigher levels of cognitive impairment and older age were associated with a higher probability of having multiple chronic conditions. The study findings highlight the importance of integrative care with cognitive function and age in managing multiple chronic conditions.

Indexed as

AgingCognitive DysfunctionActivities of Daily LivingAgedAged, 80 and overAge FactorsChronic DiseaseCognitionFemaleHumansLongitudinal StudiesMaleMental Status and Dementia TestsMiddle AgedPrevalenceRepublic of Koreaagechronic diseasecognitive functionIADLPoisson regression

Identifiers

PMID40999725
PMCPMC12464469

What Socratic holds

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LicenceCC BY-NC-ND
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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.