Evidence map›Paper›PMID 39433863›Full record

ArticleScientific reports2024

A comparative retrospective longitudinal study of arthritis risk and cognitive decline in older adults.

Jennifer Ivy Kim, Bada Kang

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2024. 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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.

  1. Article
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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

2 authors.

Jennifer Ivy KimMo-Im Kim Nursing Research Institute, Yonsei University College of Nursing, 50-1 Yonsei-Ro, Seodaemun-Gu, Seoul, 03722, Republic of Korea.
Bada KangMo-Im Kim Nursing Research Institute, Yonsei University College of Nursing, 50-1 Yonsei-Ro, Seodaemun-Gu, Seoul, 03722, Republic of Korea. bdkang@yuhs.ac.

Funding

National Research Foundation of Korea No. 2020R1A6A1A03041989
6 · The paper itself

Abstract

Arthritis often results in unmet healthcare needs for older adults with cognitive decline, who may struggle to communicate pain or recall symptoms. However, the risk factors for arthritis in this group remain underexplored. We addressed this gap by identifying and comparing arthritis risk factors among older adults with varying cognitive statuses. Data from 334 participants with cognitive decline and 808 participants with normal cognition were analysed using the Korean Longitudinal Study of Aging, tracking arthritis diagnoses over 12 years with Kaplan-Meier curves and Cox proportional hazards regression. Results showed 47.6% of older adults with cognitive decline developed arthritis, compared with 30.1% with normal cognition. Key risk factors for the cognitive decline group included depressive symptoms (hazard ratio [HR]: 1.87), living alone (HR: 1.66), infrequent social interactions (HR: 1.42), and greater dependency in daily activities (HR: 1.41). In the normal cognition group, additional chronic illnesses (HR: 1.41) and higher body mass index (HR: 1.09) were significant risk factors. Understanding these distinct risk factors is crucial for preventing and managing arthritis among at risk groups. Moreover, these findings can assist in developing comprehensive public health strategies integrating mental health and social support to improve health outcomes for older adults with cognitive decline.

Indexed as

ArthritisCognitive DysfunctionActivities of Daily LivingAgedAged, 80 and overFemaleHumansLongitudinal StudiesMaleRepublic of KoreaRetrospective StudiesRisk FactorsAgedArthritisCognitionCox proportional hazard modelsKaplan-Meier EstimateKeywords

Identifiers

PMID39433863
PMCPMC11494171

What OpenQuestion 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 OpenQuestion graph.