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Journal of Mental Health Nursing & Statistics

Volume 2, Issue 1, 2026
Mcmed International
Journal of Mental Health Nursing & Statistics
Issn
3117-4345 (Print), 3117-4353 (Online)
Frequency
bi-annual
Email
editorJMHNS@mcmed.us
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Abstract
Title
APPLICATION OF BIOSTATISTICS IN MEASURING THE IMPACT OF MINDFULNESS - BASED NURSING INTERVENTIONS ON ANXIETY DISORDERS
Author
Dr. Shruti Singh
Email
keyword
Biostatistics, Mindfulness-Based Nursing Interventions, Anxiety Disorders, Predictive Analytics, Clinical Nursing, EvidenceBased Practice
Abstract
Anxiety disorders remain one of the most prevalent mental health issues globally, significantly impairing quality of life, productivity, and overall well- being. Traditional pharmacological approaches, while effective, often fail to address the holistic needs of patients, creating an urgent demand for complementary interventions. Mindfulness-based nursing interventions (MBNIs) have emerged as evidence-based practices that not only alleviate symptoms of anxiety but also foster emotional regulation, self-awareness, and resilience. However, their effectiveness requires rigorous evaluation through biostatistical methods to ensure validity, reproducibility, and generalizability across clinical settings. This paper explores the application of biostatistics in assessing the effectiveness of mindfulness-based interventions implemented by nursing professionals for patients with anxiety disorders. Statistical modeling, predictive analytics, and hypothesis testing frameworks are emphasized as vital tools for measuring outcomes, reducing biases, and validating interventions. A case study on a hospitalbased mindfulness intervention program is presented, supported by detailed data analysis through descriptive and inferential statistics. The study highlights how biostatistical insights can guide clinical decision- making, policy formation, and the integration of mindfulness into mainstream nursing care for anxiety disorders.
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