Evidence map›Paper›PMID 29391804›Full record

ArticleTherapeutics and clinical risk management2018

Impact of depression on change in coronary heart disease risk status: the Korean Genome and Epidemiology Study (KoGES).

Ha Young Jang, Yun-Kyoung Song, Jae Hyun Kim, Myeong Gyu Kim, Nayoung Han, Hae-Young Lee, In-Wha Kim, Jung Mi Oh

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Article in Therapeutics and clinical risk management, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Ha Young JangCollege of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul.
Yun-Kyoung SongCollege of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul.
Jae Hyun KimCollege of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul.
Myeong Gyu KimCollege of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul.
Nayoung HanCollege of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul.
Hae-Young LeeDivision of Cardiology, Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.
In-Wha KimCollege of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul.
Jung Mi OhCollege of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe objective of this study was to evaluate the association between depression and change in coronary heart disease (CHD) risk status by an analysis of examination data in the general Korean population. PATIENTS AND

methodsWe examined 1,851 men and 1,689 women (aged 43-73 years) for the Korean Genome and Epidemiology Study Ansan between 2005 and 2012. The estimated CHD risk score of participants was calculated using the Framingham CHD risk score in baseline and after 8-year follow-up period. Among them, population with low Framingham CHD risk score (<10%) in baseline (n=1,582) was used for further analyses. The low Framingham CHD risk score participants were assigned to one of two groups based on the Beck depression inventory (BDI) score: no depression (BDI <10) and depression (BDI ≥10). Multivariate logistic regression was performed to test whether depression was associated with participants' status change to intermediate or high CHD risk score (≥10%) in men and women, respectively, after 8-year follow-up period.

resultsWomen with depression showed significant higher rates of changing to intermediate or high CHD risk score status when compared with women without depression even after adjusting for age, systolic blood pressure, high-density lipoprotein, and smoking (adjusted odds ratio [OR], 1.54; 95% CI, 1.08-2.03). However, depression was not associated with intermediate or high CHD risk score status in men (adjusted OR, 1.38; 95% CI, 0.95-1.82).

conclusionThis general population-based cohort study provides evidence that depression can affect the risk of changing CHD risk score status in women.

Indexed as

beck depression inventorycoronary heart disease risk factordepressive symptomFramingham coronary heart disease risk score

Identifiers

PMID29391804
PMCPMC5768190

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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.