Evidence map›Paper›PMID 39030074›Full record

ArticleChinese medical journal2025

Spicy food consumption and risk of vascular disease: Evidence from a large-scale Chinese prospective cohort of 0.5 million people.

Dongfang You, Dianjianyi Sun, Ziyu Zhao, Mingyu Song, Lulu Pan, Yaqian Wu, Yingdan Tang, Mengyi Lu, Fang Shao, Sipeng Shen and 17 more

Abstract read
In one paragraph

Article in Chinese medical journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Lifestyle factors and cardiometabolic risk.Chinese medical journal · 2026
    Review
  3. Article
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

27 authors.

Dongfang YouDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China.
Dianjianyi SunDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China.
Ziyu ZhaoDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China.
Mingyu SongDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China.
Lulu PanDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China.
Yaqian WuDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China.
Yingdan TangDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China.
Mengyi LuDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China.
Fang ShaoDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China.
Sipeng ShenDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China.
Jianling BaiDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China.
Honggang YiDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China.
Ruyang ZhangDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China.
Yongyue WeiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China.
Hongxia MaDepartment of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China.
Hongyang XuDepartment of Critical Care Medicine, Wuxi People's Hospital Affiliated to Nanjing Medical University, Wuxi, Jiangsu 214023, China.
Canqing YuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China.
Jun LvDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China.
Pei PeiPeking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China.
Ling YangMedical Research Council Population Health Research Unit at the University of Oxford, Oxford OX3 7LF, United Kingdom.
Yiping ChenMedical Research Council Population Health Research Unit at the University of Oxford, Oxford OX3 7LF, United Kingdom.
Zhengming ChenClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom.
Hongbing ShenDepartment of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China.
Feng ChenDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China.
Yang ZhaoDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu 211166, China.
Liming LiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China.
China Kadoorie Biobank Collaborative Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpicy food consumption has been reported to be inversely associated with mortality from multiple diseases. However, the effect of spicy food intake on the incidence of vascular diseases in the Chinese population remains unclear. This study was conducted to explore this association.

methodsThis study was performed using the large-scale China Kadoorie Biobank (CKB) prospective cohort of 486,335 participants. The primary outcomes were vascular disease, ischemic heart disease (IHD), major coronary events (MCEs), cerebrovascular disease, stroke, and non-stroke cerebrovascular disease. A Cox proportional hazards regression model was used to assess the association between spicy food consumption and incident vascular diseases. Subgroup analysis was also performed to evaluate the heterogeneity of the association between spicy food consumption and the risk of vascular disease stratified by several basic characteristics. In addition, the joint effects of spicy food consumption and the healthy lifestyle score on the risk of vascular disease were also evaluated, and sensitivity analyses were performed to assess the reliability of the association results.

resultsDuring a median follow-up time of 12.1 years, a total of 136,125 patients with vascular disease, 46,689 patients with IHD, 10,097 patients with MCEs, 80,114 patients with cerebrovascular disease, 56,726 patients with stroke, and 40,098 patients with non-stroke cerebrovascular disease were identified. Participants who consumed spicy food 1-2 days/week (hazard ratio [HR] = 0.95, 95% confidence interval [95% CI] = [0.93, 0.97], P <0.001), 3-5 days/week (HR = 0.96, 95% CI = [0.94, 0.99], P = 0.003), and 6-7 days/week (HR = 0.97, 95% CI = [0.95, 0.99], P = 0.002) had a significantly lower risk of vascular disease than those who consumed spicy food less than once a week ( Ptrend <0.001), especially in those who were younger and living in rural areas. Notably, the disease-based subgroup analysis indicated that the inverse associations remained in IHD ( Ptrend = 0.011) and MCEs ( Ptrend = 0.002) risk. Intriguingly, there was an interaction effect between spicy food consumption and the healthy lifestyle score on the risk of IHD ( Pinteraction = 0.037).

conclusionsOur findings support an inverse association between spicy food consumption and vascular disease in the Chinese population, which may provide additional dietary guidance for the prevention of vascular diseases.

Indexed as

Vascular DiseasesAdultAgedCerebrovascular DisordersChinaEast Asian PeopleFemaleHumansMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk FactorsChina Kadoorie BiobankHealthy lifestyleIschemic heart diseaseMajor coronary eventsProspective cohort studiesSpicy food consumptionStrokeVascular disease

Identifiers

PMID39030074
PMCPMC12273639

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.