Evidence map›Paper›PMID 39753694›Full record

ArticleScientific reports2025

Association of cardiometabolic index with all-cause and cardiovascular mortality among middle-aged and elderly populations.

Mengya Zhu, Hui Jin, Yujie Yin, Ya Xu, Yangang Zhu

Erratum issuedAbstract 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. An erratum has been issued. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  5. Early life adversity, educational attainment, and cardiometabolic risk among middle-aged and older adults in the United States.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Mengya Zhu *Huai'an No. 3 People's Hospital, Huaian Second Clinical College of Xuzhou Medical University, Huaian, China.
Hui Jin *Mental Health Center, West China Hospital, Sichuan University, Sichuan, China.
Yujie YinNanjing Jiangbei Hospital, Affiliated Nanjing Jiangbei Hospital of Xinglin College, Nantong University, 552 Geguan Road, Jiangsu, 210048, China.
Ya XuNanjing Jiangbei Hospital, Affiliated Nanjing Jiangbei Hospital of Xinglin College, Nantong University, 552 Geguan Road, Jiangsu, 210048, China. 572070222@qq.com.
Yangang ZhuLianshui People's Hospital of Kangda college Affiliated to Nanjing Medical University, Hong Ri Dong Road, Lianshui County, 223499, Jiangsu, China. doctor_yangang@163.com.

Funding

National Sleep Research Resource (NSRR)R24HL114473 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI REDLINE, SUSAN S., ZHANG, GUO-QIANG · 2013 to 2017
$7.5M
DATA COORDINATING CENTER FOR SLEEP HEART STUDYU01HL064360 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI DIENER-WEST, MARIE · 1999 to 2007
$4.4M
THE SLEEP HEART HEALTH STUDY: READING CENTER APPLICATIONU01HL063463 · NHLBI · CASE WESTERN RESERVE UNIVERSITY · PI REDLINE, SUSAN S. · 1999 to 2007
$2.8M
The Sleep Heart Health Study (SHHS)U01HL053938 · NHLBI · UNIVERSITY OF ARIZONA · PI QUAN, STUART F. · 1994 to 2007
$2.0M
SLEEP HEART HEALTH STUDYU01HL053931 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI RAPOPORT, DAVID M. · 1994 to 2003
$1.9M
THE SLEEP HEART HEALTH STUDYU01HL053937 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI PUNJABI, NARESH · 1994 to 2007
$1.6M
SLEEP HEART HEALTH STUDYU01HL053916 · NHLBI · UNIVERSITY OF CALIFORNIA DAVIS · PI ROBBINS, JOHN A · 1994 to 2007
$1.5M
THE SLEEP HEART HEALTH STUDYU01HL053934 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI SHAHAR, EYAL · 1994 to 2007
$1.4M
SLEEP HEART HEALTH STUDYU01HL053941 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI O'CONNOR, GEORGE T · 1994 to 2007
$1.4M
NHLBI NIH HHS R24 HL114473NHLBI NIH HHS U01 HL053916NHLBI NIH HHS U01 HL053931NHLBI NIH HHS U01 HL053934NHLBI NIH HHS U01 HL053937NHLBI NIH HHS U01 HL053938NHLBI NIH HHS U01 HL053941NHLBI NIH HHS U01 HL063463NHLBI NIH HHS U01 HL064360
6 · The paper itself

Abstract

The Cardiometabolic Index (CMI) is a well-recognized risk factor for a range of cardiovascular diseases and diabetes mellitus. However, the population-level characteristics of CMI and its potential association with mortality risk among individuals over 40 years of age have not been investigated. This study aims to assess the association between CMI and both all-cause and cardiovascular mortality among the middle-aged and elderly population. This cohort study utilized data from 3752 American adults extracted from the Sleep Heart Health Study (SHHS) conducted from 1995 to 2011. The CMI was calculated using the waist-to-height ratio, triglycerides (TG), and high-density lipoprotein cholesterol (HDL-C). The primary outcomes were all-cause mortality and cardiovascular mortality, with mortality data sourced from the SHHS Linked Mortality File. Kaplan-Meier survival curves and Cox regression models were employed to assess the prognostic value of the CMI. Among the 3752 American adults, the mean (SD) age was 65.9 (10.1) years, and 1969 (52.5%) were women. The mean (SD) CMI was 0.914 ± 0.939. Over an average follow-up period of 10.7 years, there were 926 all-cause deaths and 289 cardiovascular deaths. Participants were categorized into three groups based on their CMI levels: tertile (T) 1: 0.315 ± 0.0994; T2: 0.680 ± 0.128; T3: 1.75 ± 1.23. Multivariate Cox proportional hazards analysis showed that elevated CMI was significantly associated with all-cause mortality (HR 1.215, 95% CI 1.032-1.43 for T2; HR 1.309, 95% CI 1.115-1.537 for T3) and cardiovascular mortality (HR 1.305, 95% CI 0.971-1.755 for T2; HR 1.457, 95% CI 1.091-1.947 for T3). After adjusting for confounders, elevated CMI remained significantly associated with all-cause mortality (HR 1.315, 95% CI 1.098-1.575 for T3) and cardiovascular mortality (HR 1.562, 95% CI 1.124-2.17 for T3). Kaplan-Meier survival curves indicated significantly worse outcomes for participants in the higher CMI tertiles for both all-cause mortality (log-rank p = 0.0035) and cardiovascular mortality (log-rank p = 0.035). This national cohort study found that CMI is significantly associated with both all-cause and cardiovascular mortality among American adults aged over 40. These findings suggest that CMI could be a valuable tool for identifying high-risk individuals, thereby aiding in the implementation of targeted preventive strategies.

Indexed as

Cardiovascular DiseasesAgedCardiometabolic Risk FactorsCause of DeathCholesterol, HDLCohort StudiesFemaleHumansKaplan-Meier EstimateMaleMiddle AgedProportional Hazards ModelsRisk FactorsTriglyceridesCholesterol, HDLTriglyceridesAll-cause mortalityCardiometabolic diseasesCardiometabolic indexCardiovascular mortalitySHHS

Identifiers

PMID39753694
PMCPMC11698885

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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.