Evidence map›Paper›PMID 17147796›Full record

ArticleNutrition & metabolism2006

Longitudinal and age trends of metabolic syndrome and its risk factors: the Family Heart Study.

Aldi T Kraja, Ingrid B Borecki, Kari North, Weihong Tang, Richard H Myers, Paul N Hopkins, Donna Arnett, Jonathan Corbett, Avril Adelman, Michael A Province

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Nutrition & metabolism, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05031299 (Lifestyle-related Early Detection and Intervention for Older Adults & Elderly at Risk for Metabolic Syndrome), which is not on this map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
1.2field-weighted citation impact, top 19% of its field
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.

NCT05031299 naunknown statusnot on this mapstarted 2021, after this paper: background citation

Lifestyle-related Early Detection and Intervention for Older Adults & Elderly at Risk for Metabolic Syndrome: GATEKEEPER

TypeinterventionalSponsorHarokopio UniversityRan2021 to 2022Enrolled960ConditionsMetabolic SyndromeArmsStandard care, Health-promotion application for self-management, Wearables and devices
3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 67 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

10 authors at 6 institutions in 1 country.

Aldi T KrajaDivision of Statistical Genomics, Washington University School of Medicine, Saint Louis, MO, USA. aldi@wustl.edu
Ingrid B Borecki
Kari North
Weihong Tang
Richard H Myers
Paul N Hopkins
Donna Arnett
Jonathan Corbett
Avril Adelman
Michael A Province
Washington University in St. Louis · USBoston Medical Center · USUniversity of Alabama · USUniversity of Minnesota · USUniversity of North Carolina at Chapel Hill · USUniversity of Utah · US

Funding

Washington University Nutrition Obesity Research CenterP30DK056341 · NIDDK · WASHINGTON UNIVERSITY · PI Brian N Finck · 1999 to 2026
$30.2M
Genetic Factors and Cardiovascular DiseaseK01HL070444 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI DJOUSSE, LUC · 2002 to 2006
$698k
FHS--MOLECULAR GENTICS AND GENETIC EPIDEMIOLOGY-CCU01HL056567 · NHLBI · WASHINGTON UNIVERSITY · PI PROVINCE, MICHAEL A · 1996 to 1999
–
NHLBI NIH HHS K01 HL070444NHLBI NIH HHS U01 HL056567NIDDK NIH HHS P30 DK056341
6 · The paper itself

Abstract

backgroundWe report longitudinal changes in the metabolic syndrome (MetS) in 2,458 participants from 480 families in the Family Heart Study. Participants were examined between 1994-96 (FHS-T1) and 2002-03 (FHS-T2), about 7.4 years apart. Additionally, the impact of medication on estimates of MetS prevalence, and associations of MetS with prevalent coronary heart disease (CHD) and type 2 diabetes (T2D) were studied.

methodsThree definitions for MetS prevalence were considered. One represented the original (o) National Cholesterol Education Program (NCEP) MetS criteria. Two others considered the confounding of medications effects, respectively (m) lipid medications constituted a categorical diagnostic criterion for lipids variables, and (c) lipids and blood pressure variables were corrected with average clinical trials medications effects. Logistic regression of MetS on CHD and T2D, as well as the trend analysis of MetS by age, were performed.

resultsMetS increased from 17.1% in FHS-T1(o) to 28.8% in FHS-T2(o); from 19.7% in FHS-T1(m) to 42.5% in FHS-T2(m); and from 18.4% in FHS-T1(c) to 33.6% in FHS-T2(c). While we observed adverse changes in all risk factors, the greatest increase was for waist circumference (25%). The percentages of MetS were about 2 to almost 3 times higher in ages 50 years and older than in younger ages. The odds of having prevalent CHD were about 2.5 times higher in the subjects classified with MetS than without.

conclusionMetS percentages increased noticeably longitudinally and cross-sectionally with older age. These conclusions were reached with and without considering medication use, but correcting risk factors for medications use affects the MetS prevalence estimates. As found in other studies, MetS was associated with increased odds for prevalent CHD.

Identifiers

PMID17147796
PMCPMC1697811
OpenAlexW2148249667

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.