Cardiovascular disease (CVD) remains the leading cause of mortality in the U.S. accounting for 1 in 4 deaths each year. Environmental factors, such as neighborhood safety, may increase the risk of CVD. Therefore, the current study assessed perceived neighborhood safety and its association with CVD risk factors (i.e. dyslipidemia, hypertension, type II diabetes) among 663 adults (mean age: 49.97 years, 61.24% female, 78.28% White). Participants completed self-report measures as part of a larger study of environmental influences on cardiac health. Results indicated that individuals reporting low perceived neighborhood safety had greater odds of having at least one CVD risk factor (OR = 2.76, 95% CI: 1.46, 5.22) compared to those with high perceived safety. There was a significant interaction between gender and the presence of at least one CVD risk factor in relation to perceived neighborhood safety. Low perceived neighborhood safety was associated with greater odds of having at least one CVD risk factor among males (OR = 5.48, 95% C.I: 1.82, 16.52) but not females. These findings suggest that low perceived safety is associated with CVD risk factors, especially among males. Future work should seek to better understand the interaction by gender in the relationship between perceived safety and CVD risk factors.
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http://dx.doi.org/10.1080/13548506.2024.2410418 | DOI Listing |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11669532 | PMC |
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 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.
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