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Some Patterns of Sleep Quality and Daylight Savings Time Across Countries: A Predictive and Exploratory Analysis

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Author :  Bhanu Sharma and Eugene Pinsky

Affiliation :  Northeastern University

Country :  USA

Category :  Data Mining

Volume, Issue, Month, Year :  15, 4, July, 2025

Abstract :


In this study, we analyzed average sleep durations across 61 countries to investigate the impact of Daylight Saving Time (DST) practices. We identified key metrics influencing sleep and employed statistical correlation analysis to explore relationships among these factors. Countries were categorized based on DST observance, and visualizations were generated to compare sleep patterns between DST and non-DST regions. Our findings indicate that, on average, countries that observe DST tend to have better sleep durations compared to those that do not. However, a more nuanced pattern emerged when accounting for latitude: DST- observing countries at lower latitudes reported shorter sleep durations than their non-DST counterparts, whereas at higher latitudes, DST-observing countries demonstrated longer aver- age sleep durations. These results suggest that the effectiveness of DST in improving sleep may be moderated by a country’s geographical location.

Keyword :  Daylight Savings Time, Sleep, Machine Learning, Classification, Sleep Quality Prediction

Journal/ Proceedings Name :  International Journal of Data Mining & Knowledge Management Process (IJDKP)-H-Index: 35

URL :  https://aircconline.com/ijdkp/V15N4/15425ijdkp01.pdf

User Name : tania
Posted 06-08-2025 on 23:22:21 AEDT



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