Research for the Sleep Health and the Lifestyle Relationship

Abstract

The health of sleep is a main factor determining people’s daily lives, which depends on lifestyle in many aspects. The study is based on the dataset Laksika Tharmalingam generated for the statistical analyses of sleep health and lifestyle. The research uses linear regression to analyze sleep health effect factors by the relationship of sleep duration, people’s quality of sleep, which is self-reported, and the lifestyle of physical activity, people’s daily steps, and stress level. Participants consisted of 374 individuals from different occupations from age 27 to 59, both male and female. The research mainly focuses on the physical activity, daily steps, and stress levels of people with people’s sleep health. Across the sample, physical activity level and step quality positively correlated with sleep health, and stress level of people is negatively correlated with people’s sleep health. Sleep quality is statistically significantly impacted by step quantities and stress levels, which can also have significant effects on sleep health. However, the amount of physical exercise has no statistical impact on sleep quality.