Evidence map›Paper›PMID 40395890›Full record

ArticleArchives of medical science : AMS2025

Association between Life's Essential 8 and depression: a population-based study.

Haiying Jin, Ping Wu, Zhenhua Wang, Wei Su, Lili Cai, Haizhi Chen

Abstract read
In one paragraph

Article in Archives of medical science : AMS, 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
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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

6 authors.

Haiying JinZhejiang Chinese Medical University, Hangzhou, China.
Ping WuDepartment of Psychiatry, Huzhou Third Municipal Hospital, the Affiliated Hospital of Huzhou University, Huzhou, China.
Zhenhua WangDepartment of Psychiatry, Huzhou Third Municipal Hospital, the Affiliated Hospital of Huzhou University, Huzhou, China.
Wei SuDepartment of Psychiatry, Huzhou Third Municipal Hospital, the Affiliated Hospital of Huzhou University, Huzhou, China.
Lili CaiDepartment of Psychiatry, Huzhou Third Municipal Hospital, the Affiliated Hospital of Huzhou University, Huzhou, China.
Haizhi ChenDepartment of Psychiatry, Huzhou Third Municipal Hospital, the Affiliated Hospital of Huzhou University, Huzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Previous research has established a connection between depression and an elevated risk of cardiovascular disease. In this study, we sought to examine the association between Life's Essential 8 (LE8), an updated metric for assessing cardiovascular health, and the prevalence and severity of depressive symptoms. Material and methods: This investigation draws on data from 29 100 participants in the 2005-2018 National Health and Nutrition Examination Survey. LE8 was determined by eight metrics (diet, physical activity (PA), nicotine exposure, sleep quality, body mass index, blood lipid levels, blood glucose, and blood pressure (BP)), and was characterized as low, moderate, and high cardiovascular health (CVH). We examined the association between LE8 scores and depression using multivariate logistic regression, adjusting for a range of sociodemographic, lifestyle, and health-related variables. Results: Higher LE8 scores and CVH levels were associated with lower odds of depression. Each additional LE8 point correlated with 5% lower odds of depression ( Conclusions: Higher adherence to LE8 lifestyle recommendations was associated with lower odds of depression in a nationally representative sample. Promoting LE8 may be an effective public health strategy to prevent depression.

Indexed as

cardiovascular healthdepressionLife’s Essential 8

Identifiers

PMID40395890
PMCPMC12087313

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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 OpenQuestion graph.