Evidence map›Paper›PMID 38871763›Full record

ArticleScientific reports2024

Factors influencing the association between depressive symptoms and cardiovascular disease in US population.

Keming Ren, Yan Ma, Shuaijie Chen, Peng Wang, Zhezhe Chen, Wuhua Zhang, Yufei Chen, Tianping Zhou, Qianqian Bian, Wenbin Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Profiles of Aging Based on Cognition, Affect, and Brain Reserve.bioRxiv : the preprint server for biology · 2025
    Article
  4. Article
  5. Article
  6. Article
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.

Keming Ren *Department of Psychiatry, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, 310000, Zhejiang, China.
Yan Ma *Department of Cardiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, 310000, Zhejiang Province, China.
Shuaijie Chen *Department of Cardiology, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350000, Fujian, China.
Peng WangDepartment of Cardiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, 310000, Zhejiang Province, China.
Zhezhe ChenDepartment of Cardiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, 310000, Zhejiang Province, China.
Wuhua ZhangDepartment of Cardiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, 310000, Zhejiang Province, China.
Yufei ChenDepartment of Cardiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, 310000, Zhejiang Province, China.
Tianping ZhouDepartment of Cardiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, 310000, Zhejiang Province, China.
Qianqian BianDepartment of Cardiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, 310000, Zhejiang Province, China.
Wenbin ZhangDepartment of Cardiology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, 310000, Zhejiang Province, China. 3313011@zju.edu.cn.

Funding

Medical Health Science and Technology Project of Zhejiang Provincial Health Commission 2021RC014National Natural Science Foundation of China 82070408Traditional Chinese Medicine Science and Technology Project of Zhejiang Province 2021ZB172
6 · The paper itself

Abstract

Cardiovascular disease (CVD) and depression are common diseases that lead to adverse health outcomes. Depressive Symptoms may be a risk factor for CVD. But few studies focused on the impact of socioeconomic factors, common medical history and dietary intake about this association. This study analyzed National Health and Nutrition Examination Survey (NHANES) 2007-2016. Complex sampling-weighted logistic regression models were used to compare the odds ratios (ORs) of CVD in participants with different depressive symptoms. 11,516 NHANES participants aged ≥ 40 years were included in the final analysis, of whom 1842 had CVD. Compared with participants with no/minimal depression, participants with mild, moderate, and moderately severe/severe depression had OR values of 1.25 (95%  CI 1.01-1.54), 1.98 (95% CI 1.32-2.96), and 2.41 (95% CI 1.63-3.57). The association of depressive symptoms with CVD follow a dose-dependent pattern. The interactions of depressive symptoms with gender (Interaction P = 0.009), diabetes (Interaction P = 0.010), household income level (Interaction P = 0.002), dietary cholesterol intake (Interaction P = 0.017) on CVD were observed. More severe depressive symptoms are associated with increased risk of CVD in US population. The association may be more pronounced in the female population, population with diabetes, low family income level, or high dietary cholesterol intake.

Indexed as

Cardiovascular DiseasesDepressionNutrition SurveysAdultAgedFemaleHumansMaleMiddle AgedOdds RatioRisk FactorsSocioeconomic FactorsUnited StatesCardiovascular diseaseCardiovascular riskDepressionDepressive symptomsNHANES

Identifiers

PMID38871763
PMCPMC11176288

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.