Phillip Huyett1, Neil Bhattacharyya2. 1. Division of Sleep Medicine and Surgery, Department of Otolaryngology-Head and Neck Surgery, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts. 2. Department of Otolaryngology-Head and Neck Surgery, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts.
Abstract
STUDY OBJECTIVES: To examine the association between sleep disorders, employment status, and income among US adults aged 18-64 years. METHODS: The 2018-2019 Medical Expenditure Panel Survey medical conditions file was queried for adults aged 18-64 years with a diagnosis of a sleep disorder (International Classification of Diseases, 10th Revision, code G47.x) and linked to the household dataset. Comparisons in rates of wage, supplemental, and social security income as well as mean wage income were made between those with and without sleep disorders. Multivariate analyses, adjusting for demographics and comorbidities, were conducted. RESULTS: A sleep disorder was diagnosed in 4.4% ± 0.2% of the study population (approximately 8.8 ± 0.4 million adults aged 18-64 years in the United States; mean age 46.9 years, 55.8% female). Adults with sleep disorders were less likely to have wage income from employment (adjusted odds ratio 0.5, 95% confidence interval 0.4-0.6, P < .001) and more likely to have Supplemental Security (1.8, 1.4-2.4, P < .001) and Social Security income (2.0, 1.6-2.4, P < .001) compared with those without sleep disorders. Among wage-earning adults, those with sleep disorders had $2,496 less mean annual wage income compared with those without a sleep disorder ($20,445 vs $22,941, P = .007), adjusting for demographics and comorbidities. CONCLUSIONS: There are significantly higher indirect costs associated with sleep disorders. This study specifically demonstrates lower employment rates, lower wages, and higher welfare income utilization among those with sleep disorders despite using a very conservative estimate of sleep disorder prevalence. CITATION: Huyett P, Bhattacharyya N. The association between sleep disorders, employment, and income among adults in the United States. J Clin Sleep Med. 2022;18(8):1967-1972.
STUDY OBJECTIVES: To examine the association between sleep disorders, employment status, and income among US adults aged 18-64 years. METHODS: The 2018-2019 Medical Expenditure Panel Survey medical conditions file was queried for adults aged 18-64 years with a diagnosis of a sleep disorder (International Classification of Diseases, 10th Revision, code G47.x) and linked to the household dataset. Comparisons in rates of wage, supplemental, and social security income as well as mean wage income were made between those with and without sleep disorders. Multivariate analyses, adjusting for demographics and comorbidities, were conducted. RESULTS: A sleep disorder was diagnosed in 4.4% ± 0.2% of the study population (approximately 8.8 ± 0.4 million adults aged 18-64 years in the United States; mean age 46.9 years, 55.8% female). Adults with sleep disorders were less likely to have wage income from employment (adjusted odds ratio 0.5, 95% confidence interval 0.4-0.6, P < .001) and more likely to have Supplemental Security (1.8, 1.4-2.4, P < .001) and Social Security income (2.0, 1.6-2.4, P < .001) compared with those without sleep disorders. Among wage-earning adults, those with sleep disorders had $2,496 less mean annual wage income compared with those without a sleep disorder ($20,445 vs $22,941, P = .007), adjusting for demographics and comorbidities. CONCLUSIONS: There are significantly higher indirect costs associated with sleep disorders. This study specifically demonstrates lower employment rates, lower wages, and higher welfare income utilization among those with sleep disorders despite using a very conservative estimate of sleep disorder prevalence. CITATION: Huyett P, Bhattacharyya N. The association between sleep disorders, employment, and income among adults in the United States. J Clin Sleep Med. 2022;18(8):1967-1972.
Authors: Emerson M Wickwire; Sarah E Tom; Aparna Vadlamani; Montserrat Diaz-Abad; Liesl M Cooper; Abree M Johnson; Steven M Scharf; Jennifer S Albrecht Journal: J Clin Sleep Med Date: 2019-12-05 Impact factor: 4.062