Evidence map›Paper›PMID 26308480›Full record

ArticleObesity (Silver Spring, Md.)2015

Gender- and race-specific metabolic score and cardiovascular disease mortality in adults: A structural equation modeling approach--United States, 1988-2006.

Carla I Mercado, Quanhe Yang, Earl S Ford, Edward Gregg, Amy L Valderrama

Abstract readHistorical Article
In one paragraph

Article in Obesity (Silver Spring, Md.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  5. Review
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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

5 authors.

Carla I MercadoDivision for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Quanhe YangDivision for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Earl S FordDivision of Population Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Edward GreggDivision of Diabetes Translation, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Amy L ValderramaDivision of Strategic National Stockpile, Office of Public Health Preparedness and Response, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

objectiveConsider all metabolic syndrome (MetS) components [systolic (SBP) and diastolic (DBP) blood pressures, waist circumference, HDL cholesterol, triglycerides (TG), and fasting glucose] and gender/race differential risk when assessing cardiovascular disease (CVD) risk.

methodsWe estimated a gender- and race-specific continuous MetS score using structural equation modeling and tested its association with CVD mortality using data from National Health and Nutrition Examination Survey III linked with the National Death Index. Cox proportional hazard regression tested the association adjusted for sociodemographic and behavior characteristics.

resultsFor men, continuous MetS components associated with CVD mortality were SBP (hazard ratio = 1.50, 95% confidence interval = 1.14-1.96), DBP (1.48, 1.16-1.90), and TG (1.15, 1.12-1.16). In women, SBP (1.44, 1.27-1.63) and DBP (1.24, 1.02-1.51) were associated with CVD mortality. MetS score was not significantly associated with CVD mortality in men; but significant associations were found for all women (1.34, 1.06-1.68), non-Hispanic white women (1.29, 1.01-1.64), non-Hispanic black women (2.03, 1.12-3.69), and Mexican-American women (3.57, 2.21-5.76). Goodness-of-fit and concordance were overall better for models with the MetS score than MetS (yes/no).

conclusionsWhen assessing CVD mortality risk, MetS score provided additional information than MetS (yes/no).

Indexed as

AdolescentAdultAgedCardiovascular DiseasesFemaleGender IdentityHistory, 20th CenturyHistory, 21st CenturyHumansMaleMetabolic SyndromeMiddle AgedNutrition SurveysRacial GroupsRisk FactorsUnited States

Identifiers

PMID26308480
PMCPMC5295163

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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.