Despite the abundance of research on neighborhoods' effects on children, most studies of neighborhood effects are cross-sectional, rendering them unable to depict the dynamic nature of social life, and obscuring important aspects of community processes and outcomes. This study uses residential histories from the Los Angeles Family and Neighborhood Survey and the Child Development Supplement of the Panel Study of Income Dynamics to explore two questions: 1) How much do residential mobility and neighborhood change contribute to the overall socioeconomic variation in children's neighborhoods? 2) Does measuring community factors at more than one point in time matter for the conclusions that we draw from research on "neighborhood effects" on children's behavioral, cognitive and health-related well-being? Residential mobility plays a non-trivial role over the period of childhood in determining children's exposure to neighborhoods of different economic types. However, quantitative estimates of neighborhood effects that allow neighborhood characteristics to vary through residential mobility and neighborhood change do not depict a strikingly different picture from cross-sectional estimates. Children do not experience enough variation in their local surroundings to produce meaningful differences between static and dynamic measurements of neighborhoods. We also uncover interesting regional and race/ethnic differences in neighborhood dynamics and neighborhood effects.
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http://dx.doi.org/10.1016/j.ssresearch.2007.02.002 | DOI Listing |
Am J Hosp Palliat Care
January 2025
HIGN, New York University Rory Meyers College of Nursing, and Division of Geriatric Medicine and Palliative Care, New York University Grossman School of Medicine, New York, NY, USA.
Objective: Examine the relationship between race and ethnicity and area-level social deprivation and Medicare home health care (HHC) agency quality for seriously ill older adults receiving HHC.
Methods: A linear probability fixed effects model analyzed the association between patient-level predictors and HHC agency quality (star-rating), controlling for neighborhood level fixed effects. Linear mixed regression modeled the relationship between area-level social deprivation and receiving care from a high-quality HHC agency.
Transplant Direct
February 2025
Division of Transplantation, Department of Surgery, University of Iowa School of Medicine, Iowa City, IA.
Background: In 2020, liver allocation policy in the United States was changed to allow for broader organ sharing, which was hypothesized to reduce patient incentives to travel for transplant. Our objective was to describe patterns of travel for domestic liver transplant pre- and post-acuity circle (AC) implementation.
Methods: Incident adult liver transplant listings between August 16, 2016, and February 3, 2020 (pre-AC) or June 13, 2020, and December 3, 2023 (post-AC) were obtained from the Scientific Registry of Transplant Recipients.
Biostatistics
December 2024
Department of Biostatistics, Yale University School of Public Health, 60 College Street, New Haven, CT06511, United States.
Evaluating air quality interventions is confronted with the challenge of interference since interventions at a particular pollution source likely impact air quality and health at distant locations, and air quality and health at any given location are likely impacted by interventions at many sources. The structure of interference in this context is dictated by complex atmospheric processes governing how pollution emitted from a particular source is transformed and transported across space and can be cast with a bipartite structure reflecting the two distinct types of units: (i) interventional units on which treatments are applied or withheld to change pollution emissions; and (ii) outcome units on which outcomes of primary interest are measured. We propose new estimands for bipartite causal inference with interference that construe two components of treatment: a "key-associated" (or "individual") treatment and an "upwind" (or "neighborhood") treatment.
View Article and Find Full Text PDFSci Data
January 2025
RTI International, 3040 Cornwallis Rd., P.O. Box 12194, Research Triangle Park, NC, 27709, USA.
Geospatially explicit and statistically accurate person and household data allow researchers to study community-and neighborhood-level effects and design and test hypotheses that would otherwise not be possible without the generation of synthetic data. In this article, we demonstrate the workflow for generating spatially explicit household- and individual-level synthetic populations for the United States representing the year 2019. We use publicly available U.
View Article and Find Full Text PDFAm J Obstet Gynecol
January 2025
Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Background: Menstrual cycle characteristics are potential indicators of hormonal exposures and may also signal cardiovascular disease risk factors, both of which are relevant to cognitive health. However, there is scarce epidemiological evidence on the association between cycle characteristics and cognitive function.
Objectives: We studied the associations of menstrual cycle characteristics at three stages of a woman's reproductive lifespan with cognitive function in midlife.
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