Evidence map›Paper›PMID 42880921›Full record

ArticleBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences2026

[Association between different types of first-degree relatives' stroke history and the incidence risk of stroke: A prospective cohort study].

Huairong Wang, Yiqun Wu, Kun Wang, Ruotong Yang, Huan Yu, Liuyan Zheng, Jingxian Wu, Haiying Gong, Xueying Qin, Tao Wu and 2 more

Abstract readEnglish Abstract
PubMed Full text at PMC
In one paragraph

Article in Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences, 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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Huairong WangDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Yiqun WuDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Kun WangDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Ruotong YangDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Huan YuDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Liuyan ZhengDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Jingxian WuDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Haiying GongFangshan District Center for Disease Control and Prevention, Beijing 102488, China.
Xueying QinDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Tao WuDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Dafang ChenDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Yonghua HuDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the association between different types of first-degree relatives' stroke history and the incidence risk of stroke, and to explore the familial aggregation and intergenerational transmission of stroke risk.

methodsA prospective cohort study design was adopted, based on the data of the Fangshan Family-based Ischemic Stroke Study in China(FISSIC). The Cox proportional hazards model was used to analyze the association between different types of first-degree relatives' stroke history (paternal stroke history, maternal stroke history, parental history of stroke, and sibling stroke history) and the incidence risk of stroke. The hazard ratio (

resultsA total of 3 631 subjects were included in the study, with 1 650 males (45.4%) and a mean age of (56.7±8.4) years. The median follow-up duration was 6.98 years, during which 1 337 new cases of stroke occurred. The risk of stroke occurrence was higher in those with a first-degree relative history of stroke (

conclusionStroke exhibits familial aggregation, and the history of stroke in first-degree relatives is associated with the incidence risk of stroke. In particular, the maternal and sibling stroke history demonstrate a stronger association with the incidence risk of stroke. This finding suggests that during the intergenerational transmission of stroke risk, the genetics and family environment reflected by the maternal and sibling stroke history may play an important role.

Indexed as

StrokeAdultAgedChinaFemaleGenetic Predisposition to DiseaseHumansIncidenceMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk FactorsCohort studyFamilial aggregationFamily historyIntergenerational transmissionStroke

Identifiers

PMID42880921
PMCPMC13672240

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