Objectives: To determine how demographic, socioeconomic, and neighborhood characteristics are associated with bedtimes among US kindergarteners.
Design: Parents reported bedtimes of their children as well as personal, household, and residential characteristics via interviews in the Early Childhood Longitudinal Study-Kindergarten (ECLS-K) Class of 1998-1999. The ECLS-K links individual households to US Census tracts.
Setting: A random selection of 1,280 schools and surrounding communities in the US.
Participants: A random selection of 16,936 kindergarteners and their parents.
Measurements: The 2 outcomes were regular and latest weekday bedtimes of kindergarteners. Through a series of nested multilevel regression models, these outcomes were regressed on individual- and neighborhood-level variables, including race/ethnicity, sex, family type, household income, mother's educational attainment, neighborhood disorder, and several additional neighborhood characteristics.
Results: Models showed significant (P < .05) bedtime disparities by race/ethnicity, sex, family income, and mother's educational attainment. Additionally, models tended to indicate that kindergarteners from disadvantaged neighborhoods experienced later bedtimes than children from more advantaged areas. Neighborhood characteristics accounted for a portion of racial/ethnic differences, suggesting that bedtime disparities are partly rooted in disparate environmental conditions.
Conclusions: Reducing disparities in childhood sleep may require programs that target not only children and their parents, but also the communities in which they reside.
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http://dx.doi.org/10.1016/j.sleh.2020.05.002 | DOI Listing |
Biomimetics (Basel)
November 2024
National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China.
With the increasing number of space debris, the demand for telescopes to observe space debris is also constantly increasing. The telescope observation scheduling problem requires algorithms to schedule telescopes to maximize observation value within the visible time constraints of space debris, especially when dealing with large-scale problems. This paper proposes a practical heuristic algorithm to solve the telescope observation of space debris scheduling problem.
View Article and Find Full Text PDFAm J Prev Med
December 2024
Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX; Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX.
Introduction: To examine the associations of neighborhood socioeconomic status (nSES), ethnic enclaves, residential Black segregation with screening for breast, cervical and colorectal (CRC) cancers across the state of Texas (TX).
Methods: Using an ecologic study design, spatial clustering of low breast, cervical and CRC screening rates were identified across TX census tracts using local Moran's I statistics. Binomial spatial probit regression was used to estimate the associations between nSES, Hispanic/Latino and Asian American (AA) ethnic enclave neighborhoods and residential Black segregation with geospatial clusters of low screening, adjusting for behavioral characteristics.
Asia Pac J Public Health
December 2024
University Center for Research and Development, Chandigarh University, Mohali, India.
Gestational diabetes mellitus (GDM) is a major global health concern, affecting maternal and child health. Although genetic predispositions and individual medical histories are well-recognized risk factors, emerging research suggests a significant impact of external factors like neighborhood socioeconomic characteristics. This study systematically reviews and meta-analyzes the association between neighborhood deprivation and GDM incidence.
View Article and Find Full Text PDFAlcohol Res
December 2024
Health Sciences Library, University of Arizona, Tucson, Arizona.
Purpose: Most research on the structural determinants of substance use and mental health has centered around widely studied factors such as alcohol taxes, tobacco control policies, essential/precursor chemical regulations, neighborhood/city characteristics, and immigration policies. Other structural determinants exist, however, many of which are being identified in the emerging fields of structural stigma, structural racism, and structural sexism. This narrative review surveys the measures and designs used in substance use and mental health studies from these three fields.
View Article and Find Full Text PDFFront Public Health
December 2024
School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou, China.
Introduction: With the continuous development of the global aging trend, the mental health of older adults has been a concern by the world. The living space of older adults is limited due to the decline of their activity function. Neighborhood environment, especially the neighborhood social environment, has become an important factor affecting the mental health of older adults.
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