Assessing Sleep Architecture in Rural Eastern Cape Villagers of South Africa Using ŌURA Ring Data

Area of Science:

• Sleep Science
• Environmental Health
• Rural Sociology

Background:

• Understanding sleep architecture is crucial for overall health.
• Non-industrialized settings offer unique insights into human sleep patterns.
• Wearable technology provides novel methods for sleep data collection.

Purpose of the Study:

• To investigate the sleep architecture of rural villagers using wearable ŌURA rings.
• To examine the influence of factors like gender, age, household size, livestock, and temperature on sleep patterns.

Main Methods:

• Collected sleep data from 30 participants over 370 nights using ŌURA rings.
• Employed regression models to analyze the impact of various factors on sleep architecture.
• Focused on proportions of Light, Rapid Eye Movement (REM), and Deep Sleep.

Main Results:

• Average Total Sleep Time was 7.6 hours.
• Sleep architecture comprised 59.9% Light Sleep, 17.9% REM Sleep, and 22.2% Deep Sleep.
• Men caring for livestock showed higher Light Sleep and lower REM Sleep; temperature affected all sleep stages.

Conclusions:

• Men responsible for livestock exhibited distinct sleep patterns compared to those without.
• Livestock presence did not significantly alter women's sleep stages or overall Deep Sleep.
• Environmental temperature demonstrated a notable association with changes across all sleep stages, emphasizing the need for naturalistic research.