This study intended to test whether attachment to one's own residential place at neighborhood level could represent a coping response for the elderly (consistently with the "docility hypothesis;" Lawton, 1982), when dealing with the demands of unfamiliar environments, in order to balance their reduction of spatial abilities. Specifically, a sequential path was tested, in which neighborhood attachment was expected to play a buffer role between lowered spatial competence and neighborhood satisfaction. The participants ( = 264), senior citizens (over 65-year-old), responded to a questionnaire including the measures of spatial self-efficacy, spatial anxiety, attitude toward wayfinding, residential attachment and residential satisfaction. Results from the mediation analysis showed that a lower perceived spatial self-efficacy is associated to a higher spatial anxiety, and both promote a more negative attitude toward wayfinding tasks in non-familiar places. This leads to a higher attachment to one's own neighborhood, which in turn predicts a higher residential satisfaction. Thus, the "closure" response of becoming more attached to their residential place may be an adaptive strategy of the elderly for compensating the Person-Environment (P-E) fit (Lawton and Nahemow, 1973) when they feel unable (or less able) to cope with the demands of unfamiliar environments.
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http://dx.doi.org/10.3389/fpsyg.2019.00856 | DOI Listing |
Cancer Causes Control
January 2025
Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, State University of New York at Buffalo, 265 Farber Hall, Buffalo, NY, 14214, USA.
Purpose: Historical redlining, a 1930s-era form of residential segregation and proxy of structural racism, has been associated with breast cancer risk, stage, and survival, but research is lacking on how known present-day breast cancer risk factors are related to historical redlining. We aimed to describe the clustering of present-day neighborhood-level breast cancer risk factors with historical redlining and evaluate geographic patterning across the US.
Methods: This ecologic study included US neighborhoods (census tracts) with Home Owners' Loan Corporation (HOLC) grades, defined as having a score in the Historic Redlining Score dataset; 2019 Population Level Analysis and Community EStimates (PLACES) data; and 2014-2016 Environmental Justice Index (EJI) data.
Archaeol Anthropol Sci
December 2024
Department of Cultures, Archaeology, University of Helsinki, Helsinki, Finland.
Rev Cardiovasc Med
December 2024
School of Nursing, University of British Columbia, Vancouver, BC V6T 2B5, Canada.
Background: Bystander-administered cardiopulmonary resuscitation (CPR) is crucial for the survival of out-of-hospital cardiac arrests. However, only roughly 58% of bystanders would provide CPR, with wide variations across different regions. Identifying each factor affecting the barrier or readiness to perform resuscitation is a significant challenge for researchers.
View Article and Find Full Text PDFHealth 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 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.
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