Evidence map›Paper›PMID 28332359›Full record

ArticleYonsei medical journal2017

Burdens of Cardiometabolic Diseases Attributable to Dietary and Metabolic Risks in Korean Adults 2012-2013.

Yoonsu Cho, Frederick Cudhea, Ju Hyun Park, Dariush Mozaffarian, Gitanjali Singh, Min Jeong Shin

Abstract read
In one paragraph

Article in Yonsei medical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 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

6 citing papers in PubMed, 1 synthesis or guideline 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

6 authors.

Yoonsu ChoDepartment of Public Health Sciences, BK21PLUS Program in Embodiment: Health-Society Interaction, Graduate School, Korea University, Seoul, Korea.
Frederick CudheaFriedman School of Nutrition Science & Policy, Tufts University, Boston, MA, USA.
Ju Hyun ParkDepartment of Statistics, Dongguk University, Seoul, Korea.
Dariush MozaffarianFriedman School of Nutrition Science & Policy, Tufts University, Boston, MA, USA.
Gitanjali SinghFriedman School of Nutrition Science & Policy, Tufts University, Boston, MA, USA.
Min Jeong ShinDepartment of Public Health Sciences, BK21PLUS Program in Embodiment: Health-Society Interaction, Graduate School, Korea University, Seoul, Korea. mjshin@korea.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIn line with epidemiological and sociocultural changes in Korea over the past decades, reliable estimation of diseases as a result of dietary and metabolic risks is required. In this study, we aimed to evaluate the contributions of dietary and metabolic factors to cardiometabolic diseases (CMDs) in Korean adults (25-64 years old) during 2012-2013. MATERIALS AND

methodsDistribution of risk factors and cause-specific mortality by gender and age per year was obtained from the Korea National Health and Nutrition Examination Survey and Statistics Korea, respectively. The association between the two was obtained from published meta-analyses. The population-attributable fraction attributable to the risk factors was calculated across gender and age strata (male and female, age groups 25-34, 35-44, 45-54, and 55-64) in 2012 and 2013.

resultsThe results showed that during the period studied, high body mass index [5628 deaths; uncertainty intervals (UIs): 5473-5781] and blood pressure (4202 deaths; UIs: 3992-4410) were major metabolic risks for CMD deaths, followed by dietary risks such as low intake of whole grain (4107 deaths; UIs: 3275-4870) and fruits (3886 deaths; UIs: 3227-4508), as well as high intake of sodium (2911 deaths, UIs: 2406-3425). Also, males and the younger population were seen more prone to be exposed to harmful dietary risk than their female and older counterparts.

conclusionThe findings provide the necessary information to develop targeted government interventions to improve cardiometabolic health at the population level.

Indexed as

Blood PressurePopulation SurveillanceAdultAgedBody Mass IndexCardiovascular DiseasesCholesterolDiabetes Mellitus, Type 2DietFemaleGlobal HealthHumansMaleMetabolic DiseasesMiddle AgedNutrition SurveysCholesterolBurden of diseasecardiometabolic diseasecardiovascular diseasecomparative risk assessmentdiabetes mellitus

Identifiers

PMID28332359
PMCPMC5368139

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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.