Evidence map›Paper›PMID 31130639›Full record

ArticleInternational journal of environmental research and public health2019

Association between Breakfast Frequency and Atherosclerotic Cardiovascular Disease Risk: A Cross-Sectional Study of KNHANES Data, 2014-2016.

Hyeon Ji Lee, Jieun Jang, Sang Ah Lee, Dong-Woo Choi, Eun-Cheol Park

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Hyeon Ji LeeDepartment of Public Health, Graduate School, Yonsei University, Seoul 03722, Korea. leehj612@yuhs.ac.
Jieun JangDepartment of Public Health, Graduate School, Yonsei University, Seoul 03722, Korea. JIEUN99@yuhs.ac.
Sang Ah LeeResearch and Analysis Team, National Health Insurance Service Ilsan Hospital, Goyang 10444, Korea. IVORY0817@yuhs.ac.
Dong-Woo ChoiDepartment of Public Health, Graduate School, Yonsei University, Seoul 03722, Korea. CDW6027@yuhs.ac.
Eun-Cheol ParkInstitute of Health Services Research, Yonsei University, Seoul 03722, Korea. ECPARK@yuhs.ac.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The burden of cardiovascular disease (CVD) is increasing worldwide and one related lifestyle choice is breakfast consumption. This study examined the association between breakfast frequency and the 10-year risk of atherosclerotic CVD (ASCVD). The 10-year risk of ASCVD was defined as the risk of the first event of nonfatal myocardial infarction, coronary heart disease death, and nonfatal or fatal stroke within 10 years. Data from the Korean National Health and Nutrition Examination Survey, 2014-2016 were analyzed, and 7212 participants aged 40-79 years with no history of CVD were included. ASCVD risk was calculated according to the pooled cohort ASCVD equation, and participants with a score >7.5% were considered at high risk of ASCVD. The association between breakfast frequency and high ASCVD risk was confirmed by logistic regression analysis. Participants who never ate breakfast were more likely to be in the high-risk group compared to participants who ate breakfast >5 times per week (OR (adjusted odds ratio) = 1.46; 95% CI (confidence interval) = 1.12-1.89), and the risk was especially higher in female participants and those with a family history of CVD. Our study confirms that breakfast consumption even once per week may prevent CVD.

Indexed as

BreakfastAdultAgedCardiovascular DiseasesCross-Sectional StudiesFemaleHumansLife StyleMaleMiddle AgedNutrition SurveysOdds RatioRepublic of KoreaRisk Factorsbreakfastcardiovascular diseaselifestylemealspublic health

Identifiers

PMID31130639
PMCPMC6572196

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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.