Evidence map›Paper›PMID 24349653›Full record

ArticleJournal of preventive medicine and public health = Yebang Uihakhoe chi2013

Cardiovascular health metrics and all-cause and cardiovascular disease mortality among middle-aged men in Korea: the Seoul male cohort study.

Ji Young Kim, Young-Jin Ko, Chul Woo Rhee, Byung-Joo Park, Dong-Hyun Kim, Jong-Myon Bae, Myung-Hee Shin, Moo-Song Lee, Zhong Min Li, Yoon-Ok Ahn

Abstract read
In one paragraph

Article in Journal of preventive medicine and public health = Yebang Uihakhoe chi, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 7 pooled it
–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

39 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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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

10 authors.

Ji Young KimDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea.
Young-Jin KoDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea.
Chul Woo RheeDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea.
Byung-Joo ParkDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea. ; Korea Institute of Drug Safety and Risk Management, Seoul, Korea.
Dong-Hyun KimDepartment of Social Medicine, Hallym University College of Medicine, Chuncheon, Korea.
Jong-Myon BaeDepartment of Preventive Medicine, Cheju National University College of Medicine, Jeju, Korea.
Myung-Hee ShinDepartment of Social and Preventive Medicine, Sungkyunkwan University School of Medicine, Suwon, Korea.
Moo-Song LeeDepartment of Preventive Medicine, Ulsan University College of Medicine, Seoul, Korea.
Zhong Min LiDepartment of Epidemiology and Statistics, School of Public Health Sciences, Jilin University, Changchun, China.
Yoon-Ok AhnDepartment of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea. ; Korean Foundation for Cancer Research, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study estimated the association of cardiovascular health behaviors with the risk of all-cause and cardiovascular disease (CVD) mortality in middle-aged men in Korea.

methodsIn total, 12 538 men aged 40 to 59 years were enrolled in 1993 and followed up through 2011. Cardiovascular health metrics defined the following lifestyle behaviors proposed by the American Heart Association: smoking, physical activity, body mass index, diet habit score, total cholesterol, blood pressure, and fasting blood glucose. The cardiovascular health metrics score was calculated as a single categorical variable, by assigning 1 point to each ideal healthy behavior. A Cox proportional hazards regression model was used to estimate the hazard ratio of cardiovascular health behavior. Population attributable risks (PARs) were calculated from the significant cardiovascular health metrics.

resultsThere were 1054 total and 171 CVD deaths over 230 690 person-years of follow-up. The prevalence of meeting all 7 cardiovascular health metrics was 0.67%. Current smoking, elevated blood pressure, and high fasting blood glucose were significantly associated with all-cause and CVD mortality. The adjusted PARs for the 3 significant metrics combined were 35.2% (95% confidence interval [CI], 21.7 to 47.4) and 52.8% (95% CI, 22.0 to 74.0) for all-cause and CVD mortality, respectively. The adjusted hazard ratios of the groups with a 6-7 vs. 0-2 cardiovascular health metrics score were 0.42 (95% CI, 0.31 to 0.59) for all-cause mortality and 0.10 (95% CI, 0.03 to 0.29) for CVD mortality.

conclusionsAmong cardiovascular health behaviors, not smoking, normal blood pressure, and recommended fasting blood glucose levels were associated with reduced risks of all-cause and CVD mortality. Meeting a greater number of cardiovascular health metrics was associated with a lower risk of all-cause and CVD mortality.

Indexed as

AdultBlood GlucoseBlood PressureBody Mass IndexCardiovascular DiseasesCohort StudiesFollow-Up StudiesHumansKaplan-Meier EstimateLife StyleMaleMiddle AgedPrevalenceRepublic of KoreaRisk FactorsSmokingBlood GlucoseCardiovascular diseasesCohort studiesCox proportional hazards modelsLife styleMortality

Identifiers

PMID24349653
PMCPMC3859853

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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.