Internalizing symptoms and sleep outcomes in urban children with and without asthma

The Sleep Environment, Napping, and Sleep Outcomes among Urban Children With and Without Asthma

OBJECTIVES

Children with asthma living in U.S. urban neighborhoods experience increased risk for asthma morbidity and poor sleep outcomes. In addition to asthma, environmental factors (e.g. noise, uncomfortable temperature, light exposure) related to urban poverty may disturb children's sleep. This study examined the association between environmental factors and sleep outcomes among urban children with and without asthma, and whether napping underlies the environment-sleep link. Additionally, the study tested whether these associations differed by health status (i.e. asthma) or race/ethnicity.

METHOD

Participants included urban children aged 7-9 years with (N = 251) and without (N = 130) asthma from Latino, Black, or non-Latino White (NLW) background. Caregivers reported sleep environmental factors and naps. Sleep duration, efficiency, and nightly awakenings were assessed via actigraphy.

RESULTS

Regardless of health status, frequent exposure to noise and light was associated with poorer sleep outcomes only among Latino children. In the full sample with and without asthma, noise exposure during nighttime sleep was related to more frequent daytime naps, which were linked to shorter nighttime sleep duration.

CONCLUSIONS

Exposure to noise and light may play a particularly influential role in shaping urban children's sleep outcomes. Racial/ethnic differences and the potential mediating role of napping in this environment-sleep association may inform tailored interventions.

Daytime Sleepiness in Children With Asthma: Examining Respiratory and Non-respiratory Factors

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.

When we sleep, where we sleep, and with whom we sleep are all important markers or indicators of social status, privilege, and health

Cintron WR. When we sleep, where we sleep, and with whom we sleep are all important markers or indicators of social status, privilege, and health. J Clin Sleep Med . 2020;16(2):163.