Evidence map›Paper›PMID 38877499›Full record

ArticleBMC psychiatry2024

Anxiety, a significant risk factor for coronary artery disease: what is the best index.

Mojtaba Rezaee, Haniyeh Darroudi, Leila Etemad, Arya Nasimi Shad, Zahra Zardast, Houra Kohansal, Majid Ghayour-Mobarhan, Fatemeh Sadeghian, Mohsen Moohebati, Habibollah Esmaily and 2 more

Abstract read
In one paragraph

Article in BMC psychiatry, 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.

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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

12 authors.

Mojtaba Rezaee *Department of Psychiatry, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Haniyeh Darroudi *Binaloud University of Mashhad, Mashhad, Iran.
Leila Etemad *Pharmaceutical Research Center, Pharmaceutical Technology Institute, Mashhad University of MedicalSciences, Mashhad, Iran.
Arya Nasimi ShadStudent Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Zahra ZardastStudent Research Committee, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Houra KohansalBiochemistry Department, Ghaem Hospital, Mashhad University of Medical Sciences, Mashhad, Iran.
Majid Ghayour-MobarhanDepartment of Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran.
Fatemeh SadeghianDepartment of Biochemistry and Biophysics, Faculty of Sciences, Mashhad Branch, Islamic Azad University, Mashhad, Iran.
Mohsen MoohebatiDepartment of Cardiovascular, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. mouhebatim@mums.ac.ir.
Habibollah EsmailyDepartment of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
Susan DarroudiMetabolic Syndrome research center, Mashhad University of Medical Sciences, Mashhad, Iran. darroudis921@gmail.com.
Gordon A FernsBrighton and Sussex Medical School, Division of Medical Education, Sussex BN1 9PH, U, Falmer, Brighton, UK.

Funding

Mashhad University of Medical Sciences 85134
6 · The paper itself

Abstract

backgroundCoronary artery disease (CAD) is known as the leading cause of disability and death globally. Anxiety disorders are also recognized as common types of mental disorders that substantially impact global health. Iran ranks among the countries with a high incidence of CAD and anxiety disorders. Therefore, the present study aims to determine the potential association and epidemiological aspects of anxiety and CAD within the population of Mashhad, the second most popoulos city in Iran.

methodsThe present study is based on extracted data from the Mashhad stroke and heart atherosclerotic disorder (MASHAD) study which is a 10-year prospective cohort study intended to assess the effects of various CAD risk factors among Mashhad city residents. Anxiety scores were assessed at the baseline using Beck Anxiety Inventory and individuals were classified based on the BAI 4-factor structure model which included autonomic, cognitive, panic, and neuromotor components. Accordingly, the association between baseline anxiety scores and the BAI four-factor model with the risk of CAD events was analyzed using SPSS software version 21.

resultsBased on the results, 60.4% of the sample were female, and 5.6% were classified as having severe forms of anxiety. Moreover, severe anxiety was more prevalent in females. Results showed a 1.7% risk of CAD (p-value < 0.001) over 10 years with one unit increase in anxiety score. Based on the 4-factor model structure, we found that only panic disorder could significantly increase the risk of CAD by 1.1% over the 10-year follow-up (p-value < 0.001).

conclusionAnxiety symptoms, particularly panic disorder, are independently and significantly associated with an increased overall risk of developing CAD over a 10-year period. Therefore, further studies are warranted to investigate the mechanisms through which anxiety may cause CAD, as well as possible interventions to mitigate these processes.

Indexed as

Coronary Artery DiseaseAdultAgedAnxietyAnxiety DisordersFemaleHumansIranMaleMiddle AgedPrevalenceProspective StudiesPsychiatric Status Rating ScalesRisk FactorsAnxietyBeck anxiety inventoryCoronary artery diseasesFactor structure modelPanic disorder

Identifiers

PMID38877499
PMCPMC11177367

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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.