Childhood health disparities by race have been found. Neighborhood disadvantage, which may result from racism, may impact outcomes. The aim of the study is to describe the distribution of mental health (MH) and developmental disabilities (DD) diagnosis across Child Opportunity Index (COI) levels by race/ethnicity. A cross-sectional study using 2022 outpatient visit data for children < 18 years living in the Louisville Metropolitan Area (n = 115,738) was conducted. Multivariable logistic regression analyses examined the association between diagnoses and COI levels, controlling for sex and age. Almost 18,000 children (15.5%) had a MH or DD (7,905 [6.8%]) diagnosis. In each COI level, the prevalence of MH diagnosis was lower for non-Hispanic (N-H) Black than for N-H White children. In adjusted analyses, there were no significant associations between diagnoses and COI for non-White children for MH or DD diagnoses. The odds of receiving a MH [OR: 1.74 (95% CI: 1.62, 1.87)] and DD [OR: 1.69 (95% CI: 1.51, 1.88)] diagnosis were higher among N-H White children living in Very Low compared to Very High COI areas. Current findings suggest that COI does not explain disparities in diagnosis for non-White children. More research is needed to identify potential multi-level drivers such as other forms of racism. Identifying programs, policies, and interventions to reduce childhood poverty and link children and families to affordable, family-centered, quality community mental and physical health resources is needed to ensure that families can build trusting relationships with the providers while minimizing stigma.
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http://dx.doi.org/10.1007/s10578-024-01751-w | DOI Listing |
Health Place
December 2024
University of South Carolina,United States.
Despite a large body of work on neighborhood effects on health, past studies are limited in their treatment of neighborhoods as largely static spaces with (dis)advantages based primarily on the average characteristics of their residents. In this study, we draw on the triple neighborhood disadvantage perspective to explore how socioeconomic disadvantage in a neighborhood's mobility network uniquely relates to children's overall health levels, independent of residential disadvantage. We investigate this by combining 2019 SafeGraph data on mobility patterns from roughly 40 million U.
View Article and Find Full Text PDFBiomimetics (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 PDFJ Hosp Med
December 2024
Department of Family and Preventive Medicine, Emory University School of Medicine, Atlanta, Georgia, USA.
Background: The area deprivation index (ADI) is a measure of neighborhood disadvantage. It uses census-level information to quantify a person's neighborhood deprivation level based on their address. Recent studies have used ADI to examine the relationship between a patient's address and various health outcomes, including 30-day readmissions.
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.
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