1∗HOD of Community Health Nursing, Department, SCPM College of Nursing and Paramedical Science, Gonda, Uttar Pradesh, India
Email: jeya.beulah09@gmail.com
2Assistant Professor, Department of English, AJK College of Arts and Science, Tamil Nadu, India
Email: amrit.com
3Assistant Professor, Department of English, AJK College of Arts and Science, Tamil Nadu, India
Email: ajithsivan@ajkcas.com
Anxiety disorders are among the most prevalent mental health conditions affecting both adolescents and adult women. Adolescence represents a critical developmental stage characterized by significant biological, emotional and social transitions that can increase vulnerability to psychological distress. Globally, nearly one in seven adolescents experiences mental health disorders, many of which remain undetected and untreated. These early experiences often persist into adulthood and may manifest as anxiety, emotional exhaustion, sleep disturbances and work-related stress. This study investigates anxiety-related symptoms among working women using both survey-based analysis and mathematical modeling. An online survey was conducted among 85 working women from various professional fields to examine cognitive, emotional, physical, and behavioral symptoms associated with anxiety. The results indicate that a large proportion of participants experience emotional fatigue, sleep disturbances, and persistent worry related to work pressure and deadlines. To further validate the associations between symptoms and anxiety disorder, a Chi-Square Test of Independence was applied to selected attributes using contingency tables. The results indicate that anxious thoughts have a statistically significant association with anxiety disorder, whereas other symptoms such as irritability, muscle tension, dry mouth, and shortness of breath did not show significant associations at the 5 percent significance level. Considering the complex and interrelated nature of psychological factors, this study also highlights the potential application of nano topological space theory as a novel mathematical framework to model uncertainty and interactions among anxiety-related variables. The interdisciplinary approach combining psychological survey data, statistical validation, and nano topology offers new insights for identifying risk patterns and developing targeted mental health interventions for working women.
Keywords: Anxiety Disorder, Adolescence, Working Women, Mental Health, Chi-Square Test, Psychological Symptoms, Stress and Burnout, Statistical Validation, Interdisciplinary Modeling.
How to cite this article: Beulah JD, Amritha M, Ajithsivan. Anxiety in Working Women: Integrating Survey Analysis, Chi-Square Testing. Int J Drug Deliv Technol. 2026;16(6s): 704-709; DOI: 10.25258/ijddt.16.6s.96
Source of support: None
Conflict of interest: None