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Multi-Modal Home Sleep Monitoring in Older Adults

Multi-Modal Home Sleep Monitoring in Older Adults

Published on: January 26, 2019

Ethnic differences in self-reported sleep problems in older adults.

G Jean-Louis¹, C M Magai, C I Cohen

¹Department of Psychiatry, SUNY Downstate Medical Center, Brooklyn, NY, USA. jeanlouisg@yahoo.com

|January 5, 2002

Summary

Ethnicity significantly impacts sleep disturbances in older adults, with European Americans reporting worse sleep. This study highlights both between-group and within-group ethnic variations in sleep complaints.

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Area of Science:

Gerontology
Sleep Medicine
Sociology

Background:

Conflicting research exists on ethnic differences in sleep patterns.
Previous studies often overlook within-group ethnic heterogeneity in sleep complaint research.
Understanding ethnic variations is crucial for interpreting health data.

Purpose of the Study:

To investigate ethnic differences in sleep complaints among older adults.
To examine within-group ethnic heterogeneity in sleep disturbances.
To identify ethnicity as a predictor of sleep complaints.

Main Methods:

Community-based study with 1118 European American and African American participants in Brooklyn, NY.
Stratified, cluster sampling technique for participant recruitment.
Face-to-face interviews using trained interviewers of the same race as respondents to collect data on demographics, health, and sleep.

Main Results:

Ethnicity was the most significant predictor of sleep disturbance (r2 = 0.20).
European Americans reported worse sleep and greater reliance on sleep medication.
Caribbean Americans reported fewer sleep complaints than U.S.-born African Americans; immigrant European Americans reported more than U.S.-born European Americans.

Conclusions:

Ethnicity is a significant predictor of sleep disturbance in older adults.
Both between-group and within-group ethnic differences in sleep complaints were observed.
Demographic and cultural understanding between ethnic groups is vital for interpreting sleep-related health data.