Evidence map›Paper›PMID 39215265›Full record

ArticleBMC public health2024

Sex differences in association of healthy eating pattern with all-cause mortality and cardiovascular mortality.

Haipeng Yao, Xiabo Wang, Xunan Wu, Yi Liu, Yiliu Chen, Lifeng Li, Jingzheng Chen, Zhongqun Wang

Abstract read
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Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

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0cells of the map it votes in
12citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Haipeng Yao *Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, China.
Xiabo Wang *Department of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, China.
Xunan WuDepartment of Endocrinology, Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, China.
Yi LiuDepartment of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, China.
Yiliu ChenDepartment of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, China.
Lifeng LiDepartment of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, China.
Jingzheng ChenDepartment of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, China.
Zhongqun WangDepartment of Cardiology, Affiliated Hospital of Jiangsu University, Zhenjiang, 212001, China. wangtsmc@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough the Healthy Eating Index (HEI) is widely recommended to reduce the risk of cardiovascular disease and all-cause death, there are significant differences in physiological and nutritional factors between the sexes. The potential impact of sex on adult dietary health is still poorly understood. The study was designed to assess whether the health benefits of diet differed by sex.

methodsIn a prospective study of 39,567 U.S. adults (51.2% female, age 46.8 ± 17.6 years), we examined sex-specific, multivariable-adjusted associations of HEI with all-cause mortality and cardiovascular disease mortality. Restricted cubic splines (RCS), subgroup analysis, propensity score matching (PSM), random forest feature importance, and sensitivity analysis were also used.

resultsDuring 328,403 person-years of follow-up, a total of 4754 all-cause deaths were recorded, including 1481 cardiovascular deaths. Compared to the lowest quartile of HEI, the all-cause mortality rate of females and males in the highest quartile array decreased by 34% (HR 0.66 [95% CI 0.55-0.8]) and 15% (HR 0.85 [95% CI 0.73-0.99]), respectively. The restricted cubic spline showed a linear inverse association between baseline HEI and all-cause mortality and CVD mortality, with similar sex-specific results. Similarly, component scores were sex-specific for mortality risk, with females benefiting more from diet. The benefits of dairy products, vegetables, and sodium scores on the risk of all-cause death were higher in males and females. However, the benefits of vegetable, sodium, and fatty acid scores on the risk of cardiovascular death were different.

conclusionsIn the adult population of the U.S., there are more opportunities for females to reduce the risk of all-cause mortality and cardiovascular mortality from the same dose of healthy dietary intake than males. These findings could reduce the risk of death by motivating the population, especially females, to consume healthy dietary components, especially vegetables and dairy products.

Indexed as

Cardiovascular DiseasesCause of DeathDiet, HealthyAdultAgedFemaleHumansMaleMiddle AgedMortalityProspective StudiesSex FactorsUnited StatesHealthy eating indexMortalitySex differences

Identifiers

PMID39215265
PMCPMC11365166

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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.