Evidence map›Paper›PMID 39086898›Full record

ArticleFrontiers in endocrinology2024

Association between the AHA life's essential 8 and prediabetes/diabetes: a cross-sectional NHANES study.

Wei Xu, Yuntao Feng, Guzalnur Abdullah, Ling Li, Ping Fang, Sijing Tang, Huanhuan Yang, Dehong Kong, Hemin Huang, Yang Wang and 1 more

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PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in endocrinology, 2024. 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

11 authors.

Wei Xu *Department of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
Yuntao Feng *Department of Cardiology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
Guzalnur Abdullah *Department of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
Ling LiDepartment of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
Ping FangDepartment of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
Sijing TangDepartment of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
Huanhuan YangDepartment of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
Dehong KongDepartment of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
Hemin HuangDepartment of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
Yang WangDepartment of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.
Ying XueDepartment of Endocrinology and Metabolism, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: The American Heart Association (AHA) recently introduced the Life's Essential 8 (LE8) to improve cardiovascular health (CVH). However, the association between LE8 and the risk of prediabetes or diabetes is not yet fully understood. Consequently, this study aims to assess the association between CVH, as evaluated by LE8, and the risk of prediabetes and diabetes. Methods and Results: This cross-sectional study encompassed 7,739 participants aged ≥20 years from the 2007-2018 National Health and Nutrition Examination Surveys (NHANES). The CVH of participants was evaluated using the LE8, combining four health behaviors and three health factors. Glucose metabolic status categories included normal glucose metabolism, prediabetes including isolated impaired fasting glucose, isolated impaired glucose tolerance, both IFG and IGT, and diabetes. The associations between CVH and prediabetes and diabetes were analyzed using logistic regression, linear regression, restricted cubic splines, and subgroup analyses. Among 7,739 participants, 1,949 had iIFG, 1,165 were diagnosed with iIGT, 799 were IFG+IGT, and 537 were diagnosed with diabetes. After multivariable adjustments, CVH scores were inversely associated with prediabetes and diabetes, with the most robust inverse association observed between IFG+IGT and CVH across all prediabetes subgroups. Of all CVH components not directly in the causal pathway, body mass index (BMI) had the most robust associations with prediabetes and diabetes. Subgroup analyses indicated that the negative correlation between CVH and prediabetes was stronger among those with university or higher education. Conclusion: CVH, as defined by LE8, showed a significant negative association with prediabetes and diabetes.

Indexed as

American Heart AssociationNutrition SurveysPrediabetic StateAdultAgedBlood GlucoseCardiovascular DiseasesCross-Sectional StudiesDiabetes MellitusFemaleHumansMaleMiddle AgedRisk FactorsUnited StatesBlood Glucosecardiovascular healthdiabetesLife’s Essential 8NHANESprediabetes

Identifiers

PMID39086898
PMCPMC11289523

What Socratic holds

Textmetadata
LicenceCC BY
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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.