» Articles » PMID: 31362331

Community Violence Concerns and Adolescent Sleep: Physiological Regulation and Race As Moderators

Overview
Journal J Sleep Res
Specialty Psychiatry
Date 2019 Jul 31
PMID 31362331
Citations 18
Authors
Affiliations
Soon will be listed here.
Abstract

Prior work has demonstrated that greater community violence concerns are associated with poor sleep quality among adolescents. However, these effects may not be uniform across all youth. The present study examined the role of individual difference variables, physiological regulation and race, as moderators of risk in the relation between adolescents' community violence concerns and their sleep. Adolescents (N = 219; 55.3% female; 69.9% White/European American, 30.1% Black/African American) participated in the study when they were 18 years old (M = 17.7 years, SD = 1.0). Physiological regulation was assessed via respiratory sinus arrhythmia, a measure of parasympathetic regulation, at rest and in response to a stressor. Adolescents wore actigraphs for 7 nights to assess their sleep duration and quality, and reported on their community violence concerns via a well-validated questionnaire. Results demonstrated a consistent pattern of interactions, such that African American adolescents who showed less adaptive patterns of regulating physiological arousal experienced shorter sleep duration and poorer sleep quality in the context of greater community violence concerns. Community violence concerns were not associated with sleep for White adolescents. The findings may suggest that race-related stressors exacerbate risk for poor sleep among African American adolescents who experience more community violence concerns and have more difficulty regulating physiological arousal. Coping strategies for managing stress and arousal may be helpful for improving sleep for some youth.

Citing Articles

The impact of race, ethnicity, and socioeconomic status on early adolescent sleep disturbances for youth exposed to adverse childhood experiences.

Senger-Carpenter T, Voepel-Lewis T, Stoddard S, Zhang A, Ordway M Child Abuse Negl. 2025; 160:107236.

PMID: 39754988 PMC: 11792094. DOI: 10.1016/j.chiabu.2024.107236.


Using the Person-Based Approach to Co-Create and Optimize an App-Based Intervention to Support Better Sleep for Adolescents in the United Kingdom: Mixed Methods Study.

Bennett S, Johnston M, Treneman-Evans G, Denison-Day J, Duffy A, Brigden A JMIR Hum Factors. 2024; 11:e63341.

PMID: 39481107 PMC: 11565086. DOI: 10.2196/63341.


Racial and ethnic sleep health disparities in adolescents and risk for type 2 diabetes: a narrative review.

Clark E, Gutierrez-Colina A, Ruzicka E, Sanchez N, Bristol M, Gulley L Ann Med. 2024; 56(1):2399756.

PMID: 39253865 PMC: 11389628. DOI: 10.1080/07853890.2024.2399756.


Neighborhood and Household Environment as Contributors to Racial Disparities in Sleep Duration among U.S. Adolescents.

Saelee R, Haardorfer R, Johnson D, Gazmararian J, Suglia S Sleep Epidemiol. 2024; 3.

PMID: 38188485 PMC: 10769009. DOI: 10.1016/j.sleepe.2023.100065.


Neighborhood environment and adolescent sleep: The role of family socioeconomic status.

Zeringue M, Saini E, Fuller-Rowell T, Hinnant J, El-Sheikh M Sleep Med. 2023; 109:40-49.

PMID: 37413781 PMC: 10529799. DOI: 10.1016/j.sleep.2023.06.014.


References
1.
Hinnant J, Philbrook L, Erath S, El-Sheikh M . Approaches to modeling the development of physiological stress responsivity. Psychophysiology. 2017; 55(5):e13027. PMC: 5899653. DOI: 10.1111/psyp.13027. View

2.
Hale L, Do D . Racial differences in self-reports of sleep duration in a population-based study. Sleep. 2007; 30(9):1096-103. PMC: 1978399. DOI: 10.1093/sleep/30.9.1096. View

3.
Moore M, Kirchner H, Drotar D, Johnson N, Rosen C, Redline S . Correlates of adolescent sleep time and variability in sleep time: the role of individual and health related characteristics. Sleep Med. 2011; 12(3):239-45. PMC: 3050885. DOI: 10.1016/j.sleep.2010.07.020. View

4.
Curran P, Bauer D, Willoughby M . Testing main effects and interactions in latent curve analysis. Psychol Methods. 2004; 9(2):220-37. DOI: 10.1037/1082-989X.9.2.220. View

5.
Gee G, Walsemann K, Brondolo E . A life course perspective on how racism may be related to health inequities. Am J Public Health. 2012; 102(5):967-74. PMC: 3483932. DOI: 10.2105/AJPH.2012.300666. View