Author Name:-Tanisha Mittal, Dr. Anjali Sahai / Date:- 14 April 2025
Abstract
Background: Sleep is a basic physiological function that is necessary for maintaining bothphysical and psychological well-being. The relationship between sleep and health outcomes hasbeen the subject of numerous major studies, there is lack of research that particularly comparesmarried working women and non-working women. The majority of research studies tend toconcentrate on either family life or work-related stress, but rarely both at once. This studyaddresses this gap by investigating association between sleep quality and health among marriedwomen according to their employment position.
Aim: The purpose of this research is to analyze and compare the sleep quality and general healthof married working and non-working women and determine differences between both groups.Specifically, it explores whether employment status moderates the association between sleepand health, as supported by existing literature. Through statistically evaluating the hypothesis,the study examines that poor sleep quality is substantially linked to adverse health consequences.
Method: A qualitative research design was employed on a total of 102 married women rangingin age from 30-45. Purposive sampling was done to ensure equal representation from both thegroups. Data was collected using self-report questionnaires that evaluated sleep quality anddifferent health dimensions. Spearman correlation was conducted. This methodologicalapproach aligns with the research making it possible to find meaningful correlations betweensleep quality and health in the target population.
Result: The findings revealed positive correlations between sleep quality and various healthrelated factors. There is no statistical difference in general health and sleep quality between bothgroups.Conclusion: The study hypothesized that there will be a significant difference between the twogroups, the results did not support this assumption. Several limitations including, samplerepresentativeness, social desirability bias and other factors may have influenced the findings.Future research should address these limitations.
