Evidence map›Paper›PMID 40336000›Full record

ArticleNutrition & metabolism2025

Gender differences in the association between Life's essential 8 and cardiovascular disease: a U.S.-based cross-sectional analysis.

Yi Tang, Xiaojie Chen, Yifan Zhao, Jihong Sun, Yaohui Jiang

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

5 authors.

Yi TangDepartment of Cardiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China. tangyizzu@126.com.
Xiaojie ChenDepartment of Cardiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Yifan ZhaoDepartment of Cardiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Jihong SunDepartment of Cardiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
Yaohui JiangDepartment of Cardiology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis research aims to elucidate the gender differences in the association between cardiovascular disease (CVD) prevalence and Life's Essential 8 (LE8), a recently updated measure of cardiovascular health (CVH).

methodsThis study included participants from the National Health and Nutrition Examination Survey (NHANES) between 2005 and 2018.The scores of LE8, health behavior, health factor and each metric based on diet, physical activity, nicotine exposure, sleep health, body mass index, blood lipid, blood glucose, and blood pressure were classified as low (0-49 points), moderate (50-79 points), and high (80-100 points). The scores of LE8, health behavior and health factor as continuous variables were also used for dose-response analysis. The main outcomes included the prevalence of CVD. The definition of CVD based on self-reported history of coronary heart disease or stroke.

resultsA total of 23,307 individuals were included in this analysis. Participants with CVD had significantly lower LE8 scores compared to those without CVD, and females demonstrated higher CVH levels compared to males including total LE8 scores and the scores of diet, nicotine exposure, blood lipid, blood glucose, and blood pressure (P < 0.05). Moreover, the LE8 score demonstrated a non-linear association with CVD in both males and females (all P-values for non-linearity were < 0.001). Furthermore, compared to the low LE8 level, a high LE8 level was associated with a 78% decreased risk of CVD in males (HR: 0.22, 95% CI: 0.16-0.31) and an 83% decreased risk in females (HR: 0.17, 95% CI: 0.11-0.26). Consistently, compared to low levels of health behaviors and health factors, higher levels were significantly associated with a decreased risk of CVD in both males and females (All P < 0.001). Additionally, the area under the curve (AUC) for the total LE8 score in CVD discrimination was significantly higher in females than in males (P < 0.001).

conclusionHigher CVH scores were associated with a lower risk of CVD, especially in females. These findings highlight the need for gender-specific preventive strategies in CVH promotion, with a particular focus on improving LE8 scores in high-risk populations.

Indexed as

Cardiovascular diseaseCardiovascular healthGender differencesLife’s Essential 8

Identifiers

PMID40336000
PMCPMC12060376

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.