Evidence map›Paper›PMID 41792392›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2026

Headache associated with adverse cognitive trajectories in Chinese aging cohort: a group-based trajectory modeling study.

Hong Wang, Weisheng Deng, Wei Qiu

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Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2026. 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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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Hong WangDepartment of Neurology, Meizhou People's Hospital, Meizhou, Guangdong Province, China. 18316799078@163.com.
Weisheng DengDepartment of Neurology, Meizhou People's Hospital, Meizhou, Guangdong Province, China.
Wei QiuDepartment of Neurology, Meizhou People's Hospital, Meizhou, Guangdong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConflicting evidence exists regarding the associations between headache- and cognition, with conventional methods failing to capture the heterogeneous cognitive trajectories. We investigated dynamic relationships using group-based trajectory modeling (GBTM).

methodsThis longitudinal analysis included 2,949 participants aged ≥45 from the China Health and Retirement Longitudinal Study (CHARLS, 2011-2020). Headache was ascertained via a standardized questionnaire. Cognitive trajectories were derived from global cognition Z-scores using GBTM. Multinomial logistic regression evaluated headache-cognition associations, adjusting for demographics, health behaviors, and comorbidities. Stratified analyses tested effect modification by demographics, health behaviors, and comorbidities

resultsGBTM identified three cognitive trajectories: low (17.5%), medium (43.8%), and high (38.7%). Headache significantly increased the probability of belonging to low (OR = 1.29, 95% CI: 1.11–1.50; p < 0.001) and medium trajectories (OR = 1.14, 95% CI: 1.01–1.30; p = 0.033). Alcohol, hypertension, and stroke amplified associations, while diabetes paradoxically attenuated them (p for interaction < 0.05).

conclusionHeadache independently predicts adverse cognitive trajectories, with alcohol, hypertension, and stroke acting as critical effect modifiers. Paradoxically, diabetes attenuated this risk. Integrating headache screening into cognitive risk stratification and targeting modifiable factors may mitigate cognitive risk.

Indexed as

AgingCognitive DysfunctionHeadacheAgedChinaCohort StudiesEast Asian PeopleFemaleHumansLongitudinal StudiesMaleMiddle Aged​AlcoholChina Health and Retirement Longitudinal Study​Cognitive trajectoriesGroup-based trajectory modeling​Headache​​Hypertension​

Identifiers

PMID41792392
PMCPMC12966203

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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.