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Gender Disparities in Cardiovascular Disease and Their Management: A Review
Dhruva Betai1, Aamina S Ahmed2, Prerna Saxena3
1General Practice, Pandit Deendayal Upadhyay Medical College, Rajkot, IND.
Cardiovascular diseases (CVDs) show significant gender disparities in presentation, risk, and treatment. Understanding these sex-based differences is crucial for developing personalized strategies to prevent and manage CVDs effectively.
Area of Science:
- Cardiology
- Gender Medicine
- Public Health
Background:
- Cardiovascular diseases (CVDs) remain a leading global cause of mortality.
- Notable differences exist between sexes regarding CVD symptoms, progression, and treatment.
- Existing research highlights gender disparities in CVD prevalence, clinical presentation, management, and outcomes.
Purpose of the Study:
- To provide a comprehensive overview of gender disparities in cardiovascular diseases.
- To explore the influence of hormonal, genetic, and physiological factors on sex-specific CVD outcomes.
- To examine how lifestyle, sociocultural factors, and traditional risk factors differ in relevance between genders.
Main Methods:
- This study is a narrative review.
- It synthesizes current knowledge on gender differences in CVD.
- It analyzes biological, behavioral, and sociocultural factors contributing to these disparities.
Main Results:
- Gender disparities are evident in CVD risk factors, with varying importance of diabetes mellitus, cholesterol, and smoking between men and women.
- Hormonal influences, genetic predispositions, and physiological differences impact CVD presentation and progression.
- Age and conventional risk variables also exhibit distinct effects across genders.
Conclusions:
- Tailored strategies are necessary due to gender-specific factors influencing treatment efficacy.
- Early identification and management of gender-specific factors can prevent or delay CVD development.
- Further research into the complex interactions of structural, biochemical, and hormonal aspects across genders is essential for optimizing treatment and reducing CVD burden.
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