TY - JOUR
T1 - Daytime Sleepiness in Children With Asthma: Examining Respiratory and Non-respiratory Factors.
AU - Strang, AR
AU - Covington, L
AU - Rani, S
AU - Gao, D
AU - Flores, M
AU - Canter, K
AU - Patterson, F
AU - Chidekel, A
PY - 2023/6/13
Y1 - 2023/6/13
N2 - Objective Daytime sleepiness is common in youth with asthma (YWA). Treatments designed to mitigate daytime sleepiness in YWA require an understanding of the primary causes of this problem. We examined respiratory- and non-respiratory-related factors associated with daytime sleepiness in YWA. Methods One hundred YWA (eight to 17 years old) were included in a cross-sectional study. Daytime sleepiness, quality of life, anxiety, bedtime cellphone use, and respiratory symptoms were self-reported. Asthma severity, lung function, and the number of prescribed medications were obtained from electronic medical records. Multivariable regression models identifying variables associated with daytime sleepiness were generated. Results Participants were 54% male and 45% Black, with a mean age of 12.1 years. The multivariable regression model showed decreased quality of life (b = -0.328, p = 0.004) and increased bedtime cellphone use (b = 0.300, p = 0.004)were significantly related to daytime sleepiness, while anxiety (b = 0.213, p = 0.05), prescribed asthma medications (b = 0.173, p = 0.05), and worse lung function (b = -0.173, p = 0.05)were marginally related to daytime sleepiness. Conclusions In addition to optimizing asthma control, strategies targeting anxiety, quality of life, and nocturnal cellphone use are important to mitigate daytime sleepiness in YWA.
AB - Objective Daytime sleepiness is common in youth with asthma (YWA). Treatments designed to mitigate daytime sleepiness in YWA require an understanding of the primary causes of this problem. We examined respiratory- and non-respiratory-related factors associated with daytime sleepiness in YWA. Methods One hundred YWA (eight to 17 years old) were included in a cross-sectional study. Daytime sleepiness, quality of life, anxiety, bedtime cellphone use, and respiratory symptoms were self-reported. Asthma severity, lung function, and the number of prescribed medications were obtained from electronic medical records. Multivariable regression models identifying variables associated with daytime sleepiness were generated. Results Participants were 54% male and 45% Black, with a mean age of 12.1 years. The multivariable regression model showed decreased quality of life (b = -0.328, p = 0.004) and increased bedtime cellphone use (b = 0.300, p = 0.004)were significantly related to daytime sleepiness, while anxiety (b = 0.213, p = 0.05), prescribed asthma medications (b = 0.173, p = 0.05), and worse lung function (b = -0.173, p = 0.05)were marginally related to daytime sleepiness. Conclusions In addition to optimizing asthma control, strategies targeting anxiety, quality of life, and nocturnal cellphone use are important to mitigate daytime sleepiness in YWA.
UR - https://doi.org/10.7759/cureus.40370
U2 - 10.7759/cureus.40370
DO - 10.7759/cureus.40370
M3 - Article
C2 - 37456480
SN - 2168-8184
JO - Cureus
JF - Cureus
ER -