Low socioeconomic status (SES) has been associated with poor sleep in youth, yet mechanisms underlying this association are not well-understood. The present study examined greater chaos as a mediator of associations between low SES and 2 indices of poor sleep. Two hundred fifty-two adolescents (53% girls; 66% White/European American, 34% Black/African American) participated in the 3-wave longitudinal study. The sample was socioeconomically diverse. At age 16, parents reported on 2 indices of SES: family income and perceived economic well-being. Adolescents reported on chaos within their family at age 17 and on 2 key sleep-wake processes-sleep quality and daytime sleepiness-at age 18. Family chaos functioned as a mediating or intervening variable in longitudinal associations between lower SES and both poorer sleep quality and greater daytime sleepiness. The findings suggest the potential utility of targeting family level processes that exemplify chaos, such as unpredictability, noise, and interruptions, to improve sleep among adolescents. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374040PMC
http://dx.doi.org/10.1037/fam0000636DOI Listing

Publication Analysis

Top Keywords

socioeconomic status
8
family chaos
8
poor sleep
8
sleep
5
family
5
chaos
5
status sleep
4
sleep adolescence
4
adolescence role
4
role family
4

Similar Publications

Background: In data-sparse areas such as health care, computer scientists aim to leverage as much available information as possible to increase the accuracy of their machine learning models' outputs. As a standard, categorical data, such as patients' gender, socioeconomic status, or skin color, are used to train models in fusion with other data types, such as medical images and text-based medical information. However, the effects of including categorical data features for model training in such data-scarce areas are underexamined, particularly regarding models intended to serve individuals equitably in a diverse population.

View Article and Find Full Text PDF

Background: Venous thromboembolism (VTE) is a significant preventable cause of postoperative morbidity and mortality after major abdominopelvic surgery that calls for extended VTE prophylaxis (eVTEp). Literature suggests that significant racial disparities may exist in post-operative care.

Objective: The study sought to examine if racial disparities exist in the administration of eVTEp after hysterectomy in a statewide collaborative.

View Article and Find Full Text PDF

Importance: Climate change can adversely affect mental health, but the association of ambient temperature with psychiatric symptoms remains poorly understood.

Objective: To assess the association of ambient temperature exposure with internalizing, externalizing, and attention problems in adolescents from 2 population-based birth cohorts in Europe.

Design, Setting, And Participants: This cohort study analyzed data from the Dutch Generation R Study and the Spanish INMA (Infancia y Medio Ambiente) Project.

View Article and Find Full Text PDF

Background: Screening for breast cancer has been effective in decreasing mortality. Mammography is not readily available in resource-limited countries like India. Annual clinical breast examination has been demonstrated to be as effective as biennial mammography in reducing mortality with much less cost.

View Article and Find Full Text PDF

Introduction: Older adults represent a growing proportion of the general population. Nonsteroidal anti-inflammatory drugs (NSAIDs) constitute a group of medicines that are both necessary, owing to their anti-inflammatory, analgesic, and cardioprotective abilities, and potentially harmful, owing to their side effects.

Objectives: This study provides a comprehensive analysis of NSAID usage patterns among Polish adults aged 60 years and older.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!