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ZENODO
Article . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
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The Influence of Cardiovascular Diseases on the Diagnosis and Treatment of Anxiety Disorders: A Retrospective Study

Authors: Uday Narayan Sharma; Keshav Jee; Rajshri;

The Influence of Cardiovascular Diseases on the Diagnosis and Treatment of Anxiety Disorders: A Retrospective Study

Abstract

Background: Anxiety and heart disease are now known to be related to health problems. On the other hand, more study needs to be done to fully understand how cardiovascular diseases affect and how anxiety disorders are found and treated. Such understanding is necessary to enhance patient care and outcomes. Objectives: Anxiety disorder diagnosis and therapy may be affected by heart disease and other cardiovascular risk factors, making a retrospective study essential. The primary objective of this research was to assess the impact of co-occurring anxiety disorders on cardiovascular and medical outcomes. Secondary objectives included estimating the prevalence of anxiety disorders among people with cardiovascular diseases and identifying potential risk factors related to comorbidity. Method: This retrospective study used electronic health data to look at the medical histories of 200 persons who had been diagnosed with cardiovascular disease. By looking at diagnosis codes and patient medical records, we were able to calculate the prevalence of anxiety disorders in the population we were studying. Logistic regression analysis was used to identify demographic and clinical characteristics associated with the development of co-occurring anxiety disorders. The effect of comorbid anxiety disorders on hospitalisation rates and other cardiology-related outcomes was also examined using chi-square analyses. Results: The study revealed that nearly 60% of individuals with cardiovascular issues also have anxiety disorders. Age (p 0.05), comorbid disorders (p 0.05), and gender (p > 0.05) were all associated with an increased likelihood of co-occurring anxiety disorders, according to logistic regression analysis. 75% of participants with concurrent anxiety disorders were hospitalised, compared to 25% of participants without anxiety disorders (p 0.05). Conclusion: This retrospective study demonstrates how substantially cardiovascular issues affect the identification and treatment of anxiety disorders. The prevalence of anxiety disorders among individuals with cardiovascular diseases reflects the importance of mental health screening in this population. According to the findings, age and co-occurring conditions play a significant influence in the development of comorbid anxiety disorders. Higher hospitalisation rates among individuals with both forms of anxiety disorders indicate the need for interdisciplinary treatment approaches. To enhance outcomes for this group, researchers must investigate the underlying causes and determine how to treat them.

Background: Anxiety and heart disease are now known to be related to health problems. On the other hand, more study needs to be done to fully understand how cardiovascular diseases affect and how anxiety disorders are found and treated. Such understanding is necessary to enhance patient care and outcomes. Objectives: Anxiety disorder diagnosis and therapy may be affected by heart disease and other cardiovascular risk factors, making a retrospective study essential. The primary objective of this research was to assess the impact of co-occurring anxiety disorders on cardiovascular and medical outcomes. Secondary objectives included estimating the prevalence of anxiety disorders among people with cardiovascular diseases and identifying potential risk factors related to comorbidity. Method: This retrospective study used electronic health data to look at the medical histories of 200 persons who had been diagnosed with cardiovascular disease. By looking at diagnosis codes and patient medical records, we were able to calculate the prevalence of anxiety disorders in the population we were studying. Logistic regression analysis was used to identify demographic and clinical characteristics associated with the development of co-occurring anxiety disorders. The effect of comorbid anxiety disorders on hospitalisation rates and other cardiology-related outcomes was also examined using chi-square analyses. Results: The study revealed that nearly 60% of individuals with cardiovascular issues also have anxiety disorders. Age (p 0.05), comorbid disorders (p 0.05), and gender (p > 0.05) were all associated with an increased likelihood of co-occurring anxiety disorders, according to logistic regression analysis. 75% of participants with concurrent anxiety disorders were hospitalised, compared to 25% of participants without anxiety disorders (p 0.05). Conclusion: This retrospective study demonstrates how substantially cardiovascular issues affect the identification and treatment of anxiety disorders. The prevalence of anxiety disorders among individuals with cardiovascular diseases reflects the importance of mental health screening in this population. According to the findings, age and co-occurring conditions play a significant influence in the development of comorbid anxiety disorders. Higher hospitalisation rates among individuals with both forms of anxiety disorders indicate the need for interdisciplinary treatment approaches. To enhance outcomes for this group, researchers must investigate the underlying causes and determine how to treat them.

Related Organizations
Keywords

Anxiety Disorders, Cardiovascular Diseases, Comorbidity, Hospitalisation Rates, Mental Health Screening

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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