Evidence map›Paper›PMID 40032915›Full record

ArticleScientific reports2025

Dietary patterns and risk of all-cause mortality in individuals with dyslipidemia based on a prospective cohort in Guizhou China.

Lihua Yin, Lisha Yu, Yiying Wang, Xiaoxue Li, Fuyan Zhang, Qingqing Zhan, Qinyu An, Kunming Tian, Tao Liu, Ziyun Wang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers 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

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Lihua YinSchool of Public Health, the key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, No. 6 Ankang Road, Guian New Area, 561113, Guizhou, China.
Lisha YuGuizhou Center for Disease Control and Prevention, Chronic Disease Prevention and Cure Research Institute, Guiyang, 550004, China.
Yiying WangGuizhou Center for Disease Control and Prevention, Chronic Disease Prevention and Cure Research Institute, Guiyang, 550004, China.
Xiaoxue LiSchool of Public Health, the key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, No. 6 Ankang Road, Guian New Area, 561113, Guizhou, China.
Fuyan ZhangSchool of Public Health, the key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, No. 6 Ankang Road, Guian New Area, 561113, Guizhou, China.
Qingqing ZhanSchool of Public Health, the key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, No. 6 Ankang Road, Guian New Area, 561113, Guizhou, China.
Qinyu AnGuiZhou University Medical College, Guiyang, 550025, Guizhou, China.
Kunming TianDepartment of Preventive Medicine, School of Public Health, Zunyi Medical University, Zunyi, 563003, China.
Tao LiuSchool of Public Health, the key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, No. 6 Ankang Road, Guian New Area, 561113, Guizhou, China. liutao9099@163.com.
Ziyun WangSchool of Public Health, the key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, No. 6 Ankang Road, Guian New Area, 561113, Guizhou, China. wangzy2015@gmc.edu.cn.

Funding

Guizhou Province Science and Technology Support Program Qiankehe [2018]2819
6 · The paper itself

Abstract

backgroundDeath in dyslipidemia is a significant health problem, dietary intervention plays an important role in this context.

objectiveOur study investigated the association between dietary patterns and all-cause mortality in individuals with dyslipidemia. This will lay a foundation for the relevant departments to develop more precise and targeted dietary strategies and help high-risk people with early prevention by adjusting their dietary patterns, which may reduce their mortality and reduce the medical burden.

methodsThis study included 5369 participants. Factor analysis identified distinct dietary patterns, each categorized into tertiles based on factor scores: low, medium, and high. Cox proportional hazards regression models were estimated the hazard ratios (HRs) and 95% confidence intervals (95% CIs) for the association between dietary patterns and all-cause mortality in individuals with dyslipidemia.

resultsOver a median follow-up of 12.61 years, 365 deaths occurred among the 5369 participants. Four primary dietary patterns were identified. We found that compared to the lowest tertile, the highest tertile of the equilibrium pattern (HR=0.740, 95%CI: 0.565~0.969) and the aquatic products and poultry high loadings pattern (HR=0.757, 95%CI: 0.575~0.997) were negatively correlated with all-cause mortality. Conversely, the grain-tuber and vegetables high loadings pattern (HR=1.338, 95%CI: 1.031~1.737) was positively correlated with all-cause mortality. The oil and salt high loadings pattern (HR=0.973, 95%CI: 0.747~1.268) was not statistically significant.

conclusionsThe equilibrium pattern and the aquatic products and poultry high loadings pattern were linked to a lower risk of all-cause mortality among individuals with dyslipidemia, whereas the grain-tuber and vegetables high loadings pattern was linked to a higher risk. The results implying that adopting appropriate dietary pattern could provide survival benefit for individuals with dyslipidemia. However, this study has only considered dietary intake at baseline, and future research should consider the dynamic changes in dietary habits over time.

Indexed as

DietDyslipidemiasFeeding BehaviorAdultAgedCause of DeathChinaFemaleHumansMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk FactorsAll-cause mortalityDietary patternsDyslipidemiaFactor analysisProspective cohort study

Identifiers

PMID40032915
PMCPMC11876301

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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.