Evidence map›Paper›PMID 31194821›Full record

ArticlePloS one2019

Age- and sex- specific all-cause mortality risk greatest in metabolic syndrome combinations with elevated blood pressure from 7 U.S. cohorts.

Winnie W Yu, Arshdeep K Randhawa, Steven N Blair, Xuemei Sui, Jennifer L Kuk

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Trial
  2. Differential Effects of Cardiometabolic Risk Factors on All-Cause Mortality in United States Adults With Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD).Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2026
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  12. Type 2 diabetes in older patients: an analysis of the DPV and DIVE databases.Therapeutic advances in endocrinology and metabolism · 2020
    Article
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

5 authors.

Winnie W YuSchool of Kinesiology and Health Science, York University, Toronto, Canada.
Arshdeep K RandhawaSchool of Kinesiology and Health Science, York University, Toronto, Canada.
Steven N BlairDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States of America.
Xuemei SuiDepartment of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States of America.
Jennifer L KukSchool of Kinesiology and Health Science, York University, Toronto, Canada.ORCID 0000-0002-3425-6149

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe association between metabolic syndrome (MetS) and all-cause mortality is well established but it is unclear if there are differences in mortality risk among the 32 possible MetS combinations. Hence, the purpose of this study is to evaluate the associations between different MetS combinations and its individual components with all-cause mortality, and to examine differences in the association by age and sex.

methodsA merged sample of 82,717 adults from 7 U.S. cohorts was used.

resultsIn our sample, MetS was present in 32% of men, 34% of women, 28% of younger adults (18-65 years) and 62% of older adults (>65 years) with 14,989 deaths over 14.6 ± 7.4 years of follow-up. Risk of all-cause mortality was higher in younger individuals with a greater number of MetS factors present, but in older adults having all 5 MetS factors was the only combination significantly associated with mortality. Regardless of age or sex, elevated blood pressure was the MetS factor most consistently present in MetS combinations that were significantly and most strongly associated with mortality. In fact, elevated blood pressure in the absence of other risk factors was significantly associated with mortality in men (HR, 95% CI = 1.56, 1.33-1.84), women (HR = 1.62, 1.44-1.81) and younger adults (HR = 1.61, 1.45-1.79). Conversely, waist circumference, glucose and triglycerides in isolation were not associated with mortality (p>0.05).

conclusionIn a large U.S. population, different combinations of MetS components vary substantially in their associations with all-cause mortality. Men, women and younger individuals with MetS combinations including elevated blood pressure had stronger associations with greater mortality risk, with minimal associations between MetS and mortality risk in older adults. Thus, we suggest that future algorithms may wish to consider differential weighting of these common metabolic risk factors, particularly in younger populations.

Indexed as

AdultAgedAged, 80 and overAge FactorsBlood PressureBlood Pressure DeterminationFemaleHumansHypertensionMaleMetabolic SyndromeMiddle AgedProportional Hazards ModelsRisk FactorsSex FactorsTriglyceridesTriglycerides

Identifiers

PMID31194821
PMCPMC6564014

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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.