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

Volume 15, Number 4

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

Authors

Bhanu Sharma ¹ and Eugene Pinsky ², ¹ Northeastern University, USA, ² Boston University, USA

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.

Keywords

Daylight Savings Time, Sleep, Machine Learning, Classification, Sleep Quality Prediction.

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