Evidence map›Paper›PMID 32429205›Full record

ArticleHealthcare (Basel, Switzerland)2020

The Prevalence of Metabolic Syndrome and Health-Related Behavior Changes: The Korea National Health Examination Survey.

Eunshil Yim, Kyounga Lee, Ilsu Park, Sangjin Lee

Open access · goldAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
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  3. Observational
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  7. Article
  8. The neighbourhood environment and profiles of the metabolic syndrome.Environmental health : a global access science source · 2022
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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

4 authors at 4 institutions in 1 country.

Eunshil YimDepartment of Nursing, Daegu Health College, 15 Yeongsong-ro, Buk-gu, Daegu 41453, Korea.
Kyounga LeeMedical Research Collaborating Center, Seoul National University Hospital, 101, Daehak-ro, Jongno-gu, Seoul 03080, Korea.ORCID 0000-0003-0550-6070
Ilsu ParkDepartment of Healthcare Management, Dong-eui University, 176 Eomgwangno, Busanjin-gu, Busan 47340, Korea.
Sangjin LeeMinistry of Health and Welfare, 13, Doum 4-ro, Sejong-si 30113, Korea.
Daegu Health College · KRDong-Eui University · KRMinistry of Health and Welfare · KRSeoul National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study was conducted to investigate the effect of health-related behavior changes on the prevalence of metabolic syndrome (MetS). This study utilized data from the Korea National Health Examination Survey of adults aged 40 or older who underwent health screening in 2011, 2013, and 2015. The prevalence of MetS was analyzed according to sex, age, income, residence location, and health-related behaviors by conducting multiple logistic regression analysis. For health-related behaviors, smoking, drinking, and physical activity were examined, and changes in health-related behaviors over five years from 2011 to 2015 were included in the analysis. The prevalence of MetS in Korea in 2015 was 31.7%. The prevalence showed statistically significant differences according to sex, age, income, location, and health-related behaviors. The prevalence was higher in men than in women and increased with aging. Regarding income, MetS prevalence was slightly higher in the middle-income groups compared with the lowest or the highest. Regarding location, MetS prevalence was lower in metropolitan areas compared to small- to medium-sized cities and farming/fishery rural areas. Regarding health-related behavior, MetS prevalence increased in the smoking, heavy drinking, and passive activity groups compared with the nonsmoking, moderate drinking, and active activity groups. Regarding health-related behavior change, MetS prevalence was higher by 22% in the short-term nonsmoking group (subjects who smoked in the past but not currently) compared to the continuous nonsmoking group. The risk for MetS also increased by 84.9% in the continuous heavy drinking group compared to the continuous moderate drinking group. Finally, the risk for MetS increased by 30.3% in the continuous passive physical activity group compared to the continuous active physical activity group. This study's findings indicate the importance of maintaining healthy lifestyle habits to prevent MetS. In particular, the focus for change should be concentrated on short-term nonsmoking, continuous heavy drinking, and continuous passive physical activities to improve health-related behaviors.

Indexed as

alcohol intakehealth behaviormetabolic syndromephysical activitysmoking

Identifiers

PMID32429205
PMCPMC7348718
OpenAlexW3025664603

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.