Background: Premenstrual Syndrome (PMS) is a common condition affecting women of reproductive age and is characterized by a variety of physical, psychological, and behavioral symptoms occurring during the luteal phase of the menstrual cycle. Sleep disturbances are frequently reported among women with PMS and may contribute to reduced quality of life and daily functioning. This study aimed to determine the correlation between sleep quality and PMS among urban nulliparous women.

Methods: A cross-sectional correlational study was conducted among 124 urban nulliparous women aged 16–30 years in Ahmedabad, India. Participants were recruited through convenient sampling after obtaining informed consent. PMS severity was assessed using the Premenstrual Syndrome Scale (PMSS), while sleep quality was evaluated using the Pittsburgh Sleep Quality Index (PSQI). Data were analyzed using SPSS version 26. Descriptive statistics were calculated, and Spearman’s correlation test was used to examine the relationship between PMS severity and sleep quality.

Results: The mean age of participants was 23.13 ± 2.78 years. The mean PMSS score was 113.66 ± 26.06, indicating moderate-to-severe PMS, while the mean PSQI score was 6.77 ± 2.58, reflecting poor sleep quality. Among participants, 46.0% reported moderate PMS symptoms, 40.3% severe symptoms, and 1.6% very severe symptoms. Poor sleep quality (PSQI > 5) was observed in 84.7% of women. Spearman’s correlation analysis revealed a statistically significant positive correlation between PMSS and PSQI scores (r = 0.201, p = 0.025).