Social dimensions impact individual sleep quantity and quality

Author:

Park Sungkyu,Zhunis Assem,Constantinides Marios,Aiello Luca Maria,Quercia Daniele,Cha Meeyoung

Abstract

AbstractWhile sleep positively impacts well-being, health, and productivity, the effects of societal factors on sleep remain underexplored. Here we analyze the sleep of 30,082 individuals across 11 countries using 52 million activity records from wearable devices. Our data are consistent with past studies of gender and age-associated sleep characteristics. However, our analysis of wearable device data uncovers differences in recorded vs. self-reported bedtime and sleep duration. The dataset allowed us to study how country-specific metrics such as GDP and cultural indices relate to sleep in groups and individuals. Our analysis indicates that diverse sleep metrics can be represented by two dimensions: sleep quantity and quality. We find that 55% of the variation in sleep quality, and 63% in sleep quantity, are explained by societal factors. Within a societal boundary, individual sleep experience was modified by factors like exercise. Increased exercise or daily steps were associated with better sleep quality (for example, faster sleep onset and less time awake in bed), especially in countries like the U.S. and Finland. Understanding how social norms relate to sleep will help create strategies and policies that enhance the positive impacts of sleep on health, such as productivity and well-being.

Funder

Institute for Basic Science

National Research Foundation of Korea

Nokia Bell Labs

Carlsberg Foundation through the COCOONS project

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

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