An Analytical Study On The Level Of Nomophobia And Its Associated Factor Among Nursing Students In Selected Nursing College

Balraj Sharma , Nirupama Jena , Ambika Bhatt , Dr. Khemchand , Ms Sonia Daniel

Nomophobia, smartphone addiction, digital dependence, mental health, urban population

Nomophobia, which is conceptualized as a form of conditioned anxiety, caused by the inability to access a mobile telecommunication device, has received growing scholarly attention in the modern era of psychosocial paradigm. The increasing ubiquity of smart phones (at least amongst post-secondary cohorts) has led to a significant rise in digital dependence, thereby putting nomophobia in the forefront as an important construct to understand empirically. Objective: The present investigation aimed at determining the epidemiological prevalence of nomophobia among smartphone users enrolled at an selected Nursing College and to critically analyze its possible correlates in a range of sociodemographic variables. Methods: Using a cross-sectional approach, 188 people, aged between 15 and 55 years and having at least one year of antecedent smartphone use, were recruited in the study. Data acquisition was made through a semi-structured interview instrument that included the validated Nomophobia Questionnaire (NMP- Q). Statistical analyses were conducted using the statistical package, with version 22.0 of the statistical package (SPSS), in which the associations between variables were estimated using the Chi-squared test. p < 0.05 was used to define the statistical significance. Results: A surprisingly high prevalence of nomophobia was found. Specifically, 47.87% of the study participants showed mild nomophobia, 46.28% had moderate manifestations, and 2.66% had severe symptoms. Statistically significant correlation was observed between nomophobia and educational attainment, occupational status, socioeconomic stratum, familial structure, hours spent daily using smartphone and hours spent on social networking and frequency of use of phone per hour (p<0.05). No significant associations existed for gender and monthly expenditure for mobile services. This study has been undertaken to investigate the determinants of stock returns in Karachi Stock Exchange (KSE) using two assets pricing models the classical Capital Asset Pricing Model and Arbitrage Pricing Theory model. To test the CAPM market return is used and macroeconomic variables are used to test the APT. The macroeconomic variables include inflation, oil prices, interest rate and exchange rate. For the very purpose monthly time series data has been arranged from Jan 2010 to Dec 2014. The analytical framework contains.

Volume 14 Issue 2, February-2026

Pages : f837-f843