Evidence map›Paper›PMID 40133953›Full record

ArticleBMC public health2025

Trajectories of health status and their association with rheumatoid arthritis risk: insights from a national prospective cohort study.

Mengjun Tao, Xin Guo, Xiancan Ji, Liang Xu, Hui Yuan

Abstract read
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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Mengjun Tao *Department of Health Management Center, The First Affiliated Hospital of Wannan Medical College, No. 2, Zheshan West Road, Jinghu District, Wuhu, Anhui Province, China.
Xin Guo *School of Public Health, Wannan Medical College, No. 22, Wenchang West Road, Yijiang District, Wuhu City, Anhui Province, China.
Xiancan JiSchool of Public Health, Wannan Medical College, No. 22, Wenchang West Road, Yijiang District, Wuhu City, Anhui Province, China.
Liang XuDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Wannan Medical College, No. 2, Zheshan West Road, Jinghu District, Wuhu, Anhui Province, China.
Hui YuanSchool of Public Health, Wannan Medical College, No. 22, Wenchang West Road, Yijiang District, Wuhu City, Anhui Province, China. yuanhui0553@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe association between trajectories of different health states and rheumatoid arthritis (RA) is unknown. Our cohort study aimed to investigate the impact of various trajectories (including depressive symptoms, physical activity and multimorbidity status) on subsequent RA risk.

methodsA prospective cohort study was conducted using seven waves of national data from the Health and Retirement Study (HRS 2004-2018) involving 9,795 US adults. A growth mixture model identified 6-year trajectories from 2004 to 2010, and participants were screened for RA by self-reported physician diagnosis in the subsequent four waves (2010-2018). Cox proportional hazards model calculated hazard ratios (HR).

resultsTrajectories of depressive symptoms, physical activity, and multimorbidity status were all associated with the risk of RA. Specifically, keeping a low trajectories (HR = 0.649, 95%CI = 0.533-0.790) or maintaining a moderate rating trajectories (HR = 0.798, 95%CI = 0.644-0.988) for depressive reduced the risk of RA. For physical activity, both high and descending trajectories (HR = 1.456, 95%CI = 1.170-1.812) and high and rising trajectories (HR = 1.244, 95%CI = 1.016-1.522) increased the risk. High multimorbidity trajectories (HR = 1.305, 95%CI = 1.094-1.556) and highest multimorbidity trajectories (HR = 1.393, 95%CI = 1.131-1.715) increased the risk.

conclusionThe results suggest that tracking trajectories of depressive symptoms, physical activity, and multiple disease states may be a potential and feasible screening method for identifying those at risk for RA.

Indexed as

Arthritis, RheumatoidHealth StatusAdultAgedDepressionExerciseFemaleHumansMaleMiddle AgedMultimorbidityProportional Hazards ModelsProspective StudiesRisk FactorsUnited StatesDepressive symptomsMultimorbidityPhysical activityRheumatoid arthritis

Identifiers

PMID40133953
PMCPMC11934476

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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.