A Correlational Study Between Quality of Sleep and the Smartphone Usage among the Students of Dy Patil College of Nursing and Dy Patil College of Physiotherapy Kolhapur

Introduction: Introduction: As multipurpose gadgets that offer information, entertainment, and communication, cellphones have become an essential part of daily life in the current digital era. But their widespread presence, particularly at night, raises serious questions about how they affect the quality of sleep. A burgeoning public health concern is the rising incidence of sleep disorders. Sleep is essential for good health since it affects mental clarity, emotional control, and physical well-being. Because blue light from screens suppresses the production of melatonin, the hormone that controls sleep-wake cycles, it can throw off the circadian rhythm. Moreover, engaging with stimulating content might postpone the start of sleep, such as social media or work-related activities. Sleep is aggravated by psychological reliance on smartphones, which is typified by obsessive notification monitoring and fear of missing out (FOMO). Methodology: Using a non-experimental, descriptive methodology, the study used a correlational survey approach. 500 students from D.Y. Patil College of Physiotherapy and D.Y. Patil College of Nursing, who were chosen by non-probability convenience sampling, were among the participants. The Smartphone Addiction Short Version Scale (SAS-SV) and the Pittsburgh Sleep Quality Index (PSQI) were employed. The Karl Pearson correlation coefficient test was administered through an online Google Forms questionnaire. The investigation was carried out on April 16, 2024. Findings: The participants' average age was 21.43 ± 2.91 years. Due to their use of smartphones at night, the majority of participants (55.00%, or 345 students) reported having severe sleep difficulties. With a median score of 11 and a mode of 10, the PSQI score was 11.18 on average. 3.22 was the standard deviation, and the range was16. The majority of pupils showed a solid understanding of sleep disorders. At the P < 0.05 level, the estimated t-value (tcal = 1.9564) was found to be more than the crucial value (ttab = 1.9432), suggesting a moderately positive association that is statistically significant between smartphone usage and sleep quality. In summary, the results indicate that most participants had a moderate understanding of sleep disorders, and there was a moderately positive link between smartphone usage and sleep quality.