Evidence map›Paper›PMID 27494241›Full record

ArticlePloS one2016

The Relationship between Metabolically Obese Non-Obese Weight and Stroke: The Korea National Health and Nutrition Examination Survey.

Young-Gyun Seo, Ho-Chun Choi, Belong Cho

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 22% 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.

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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Review
  8. Article
  9. 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

3 authors at 3 institutions in 1 country.

Young-Gyun SeoDepartment of Family Medicine, Hallym University Sacred Heart Hospital, Anyang, Gyeonggi-do, Korea.
Ho-Chun ChoiDepartment of Family Medicine, Healthcare System Gangnam Center, Seoul National University Hospital, Seoul, Korea.
Belong ChoDepartment of Family Medicine, Center for Health Promotion and Optimal Aging, Health Promotion Center for Cancer survivor, Seoul National University Hospital, Seoul, Korea.
Advanced Institute of Convergence Technology · KRHallym University Sacred Heart Hospital · KRSeoul National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveBoth metabolic syndrome (MetS) and obesity increase the risk of stroke. However, few studies have compared the risks of stroke associated with metabolically obese non-obese weight (MONW) and metabolically healthy obesity (MHO). This study aimed to compare the prevalence of stroke in MONW and MHO individuals.

methodsA total of 25,744 subjects aged ≥40 years were selected from the 2007-2014 Korean National Health and Nutrition Examination Survey. MetS was defined using 2001 National Cholesterol Education Program/Adult Treatment Panel III and 2005 American Heart Association/National Heart, Lung, and Blood Institute criteria. Non-obese weight and obesity were defined as a body mass index (BMI) <25 kg/m2 and ≥25 kg/m2, respectively. MONW was defined as meeting the MetS criteria with a BMI <25 kg/m2 and MHO was defined as not meeting the MetS criteria with a BMI ≥25 kg/m2.

resultsWomen with MONW had a higher prevalence of stroke than those with MHO (odds ratio [OR] = 2.27, 95% confidence interval [CI]: 1.45-3.57). The prevalence of stroke increased as the number of MetS components increased. The ORs for MONW with 3, 4, and 5 MetS components were 1.95 (95% CI: 1.19-3.21), 2.49 (95% CI: 1.46-4.24) and 2.74 (95% CI: 1.39-5.40), respectively.

conclusionsOur study findings may better emphasize the risk of stroke among more lean but unhealthy individuals, who appear healthy but may be suffering from MetS. These findings also highlight the need for stroke risk factor assessment in non-obese weight individuals.

Indexed as

Body Mass IndexBody WeightAdultAgedCase-Control StudiesCross-Sectional StudiesFemaleHumansMaleMetabolic SyndromeMiddle AgedNutrition SurveysObesityPrevalenceRepublic of KoreaRisk Factors

Identifiers

PMID27494241
PMCPMC4975497
OpenAlexW2481122263

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.