Evidence map›Paper›PMID 29913019›Full record

ArticleJAMA internal medicine2018

Association of Obesity or Weight Change With Coronary Heart Disease Among Young Adults in South Korea.

Seulggie Choi, Kyuwoong Kim, Sung Min Kim, Gyeongsil Lee, Su-Min Jeong, Seong Yong Park, Yeon-Yong Kim, Joung Sik Son, Jae-Moon Yun, Sang Min Park

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in JAMA internal medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 5 pooled it
7.7field-weighted citation impact, top 2% 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

71 citing papers in PubMed, 5 syntheses or guidelines pooled it, 118 citations in OpenAlex.

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  18. Obesity Arrhythmias: Role of IL-6 Trans-Signaling.International journal of molecular sciences · 2024
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11 more citing papers are in PubMed but not listed here.

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 3 institutions in 1 country.

Seulggie ChoiDepartment of Biomedical Sciences, College of Medicine, Seoul National University, Seoul, South Korea.
Kyuwoong KimDepartment of Biomedical Sciences, College of Medicine, Seoul National University, Seoul, South Korea.
Sung Min KimDepartment of Biomedical Sciences, College of Medicine, Seoul National University, Seoul, South Korea.
Gyeongsil LeeDepartment of Family Medicine, Seoul National University Hospital, Seoul, South Korea.
Su-Min JeongDepartment of Family Medicine, Seoul National University Hospital, Seoul, South Korea.
Seong Yong ParkBig Data Steering Department, National Health Insurance Service, Wonju, South Korea.
Yeon-Yong KimBig Data Steering Department, National Health Insurance Service, Wonju, South Korea.
Joung Sik SonDepartment of Family Medicine, Seoul National University Hospital, Seoul, South Korea.
Jae-Moon YunDepartment of Family Medicine, Seoul National University Hospital, Seoul, South Korea.
Sang Min ParkDepartment of Biomedical Sciences, College of Medicine, Seoul National University, Seoul, South Korea.
Seoul National University Hospital · KRSeoul National University · KRNational Health Insurance Service · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Previous studies have shown a U- or J-shaped association of body mass index (BMI) or change in BMI with coronary heart disease (CHD) among middle-aged and elderly adults. However, whether a similar association exists among young adults is unclear. Objective: To determine whether an association exists between BMI or BMI change with CHD among young adults. Design, Setting, and Participants: This population-based longitudinal study used data obtained by the Korean National Health Insurance Service from 2002 to 2015. The study population comprised 2 611 450 men and women aged between 20 and 39 years who underwent 2 health examinations, the first between 2002 and 2003 and the second between 2004 and 2005. Exposures: World Health Organization Western Pacific Region guideline BMI categories of underweight, normal weight, overweight, obese grade 1, and obese grade 2 derived during the first health examination and change in BMI calculated during the second health examination. Main Outcomes and Measures: Body mass index (calculated as weight in kilograms divided by height in meters squared). Absolute risks (ARs), adjusted hazard ratios (aHRs), and 95% CIs for acute myocardial infarction or CHD during follow-up from 2006 to 2015. Results: Data from 1 802 408 men with a mean (SD) age of 35.1 (4.8) years and 809 042 women with a mean (SD) age of 32.5 (6.3) years were included. The mean (SD) BMI was 23.2 (3.2) for the total population, 24.0 (3.0) for men, and 21.4 (2.9) for women. Compared with normal weight men, overweight (AR, 1.38%; aHR, 1.18 [95% CI, 1.14-1.22]), obese grade 1 (AR, 1.86%; aHR, 1.45 [95% CI, 1.41-1.50]), and obese grade 2 (AR, 2.69%; aHR, 1.97 [95% CI, 1.86-2.08]) men had an increased risk of CHD (P < .001 for trend). Similarly, compared with normal weight women, overweight (AR, 0.77%; aHR, 1.34 [95% CI, 1.24-1.46]), obese grade 1 (AR, 0.95%; aHR, 1.52 [95% CI, 1.39-1.66]), and obese grade 2 (AR, 1.01%; aHR, 1.64 [95% CI, 1.34-2.01]) women had an increased risk of CHD (P < .001 for trend). Compared with participants who maintained their weight at normal levels, those who became obese had elevated CHD risk among men (0.35% increase in AR; aHR, 1.35 [95% CI, 1.17-1.55]) and women (0.13% increase in AR; aHR, 1.31 [95% CI, 0.95-1.82]). Weight loss to normal levels among obese participants was associated with reduced CHD risk for men (0.58% decrease in AR; aHR, 0.77 [95% CI, 0.64-0.94]) and women (0.57% decrease in AR; aHR, 0.66 [95% CI, 0.45-0.98]). Conclusions and Relevance: Obesity and weight gain were associated with elevated risk of CHD among young adults in this study. Studies that prospectively determine the association between weight change and CHD risk are needed to validate these findings.

Indexed as

Body Mass IndexPopulation SurveillanceAdultCoronary DiseaseDisease ProgressionFemaleFollow-Up StudiesHumansMaleObesityOverweightPrognosisRepublic of KoreaRetrospective StudiesRisk AssessmentRisk Factors

Identifiers

PMID29913019
PMCPMC6143106
OpenAlexW2808165927

What OpenQuestion holds

Textmetadata
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.