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. 2018 Oct 1;41(10):zsy154.
doi: 10.1093/sleep/zsy154.

Prevalence and correlates of obstructive sleep apnea among African Americans: the Jackson Heart Sleep Study

Dayna A Johnson  1   2 , Na Guo  1 , Michael Rueschman  1 , Rui Wang  1   2 , James G Wilson  3 , Susan Redline  1   2
Affiliations

Prevalence and correlates of obstructive sleep apnea among African Americans: the Jackson Heart Sleep Study

Dayna A Johnson et al. Sleep. .

Abstract

Study objectives: African Americans have been under-represented in obstructive sleep apnea (OSA) research. This study determined the prevalence and correlates of OSA overall and by sex among African Americans in the Jackson Heart Sleep Study.

Methods: Participants (N = 852) underwent a type 3 in-home sleep apnea study, 7 day wrist actigraphy and completed standardized measurements and questionnaires. OSA was defined as an apnea-hypopnea index (AHI) of ≥15, where hypopneas were defined as ≥ 4% associated desaturation. Physician diagnosis of OSA was self-reported. Logistic regression models were fit to determine the associations of demographics, socioeconomic status, sleep symptoms, actigraphy-based sleep, body mass index (BMI), and comorbidities with OSA.

Results: Average age was 63.1 (standard deviation = 10.7), 66% were female, and mean BMI was 32.0 (6.9) kg/m2. Approximately 24% had an AHI ≥ 15; of those, 5% had a physician diagnosis of OSA. Prevalence of OSA increased across BMI categories, but not age groups. Men had a 12% higher prevalence of OSA compared with women, p < 0.01. Older age, male sex, higher BMI, larger neck circumference, and report of habitual snoring were independently associated with higher odds of OSA, all p < 0.05. Associations between sleep symptoms and OSA were similar for men and women. Sleepiness and waist circumference were not associated with OSA.

Conclusions: There was a high prevalence of objectively measured but undiagnosed OSA in this sample of African Americans. Snoring, BMI, and neck circumference were important markers of OSA for men and women. Our results suggest that screening tools that incorporate information on sleepiness and waist circumference may be suboptimal in this population.

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Figures

Figure 1.
Figure 1.
Unadjusted prevalence of OSA (AHI4P) across age groups.
Figure 2.
Figure 2.
Unadjusted prevalence of OSA (AHI4P) across BMI groups.
Figure 3.
Figure 3.
Total and sex-stratified prevalence of OSA by AHI3P and AHI4P.
See this image and copyright information in PMC

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