Introduction: A well-established association exists between health and neighborhood land use patterns, including parks, roads, and other physical environments, also called the built environment. Previous studies have demonstrated that the built environment influences health, particularly among older populations, because the scope of activities in such populations is limited. Herein, we investigated the association between specific neighborhood environments and the healthy life expectancy of older individuals.
Methods: Data at two time points (2013 and 2019) from the Japan Gerontological Evaluation Study were used in this study. The study comprised a sample of 8,956 residents aged ≥65 years who were not certified for long-term care. Information on the presence or absence of eight types of neighborhood environments was collected using a questionnaire. A multistate life table analysis was conducted to determine the association between perceived neighborhood environments and healthy life expectancy.
Results: Significant differences were observed in the "parks and sidewalks suitable for exercise and walking" category. The group that perceived "parks and sidewalks suitable for exercise and walking" had an approximately 1.2-year longer healthy life expectancy than the group that did not perceive such parks and sidewalks. In addition, individuals who lived within walking distance of a park were more physically active than those who did not.
Conclusions: Safe, walkable neighborhoods with excellent parks may encourage physical activity among older adults and extend their healthy lifespan. Future research is warranted to identify the underlying mechanisms.
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http://dx.doi.org/10.31662/jmaj.2023-0154 | DOI Listing |
Front Public Health
January 2025
Johns Hopkins University School of Nursing, Baltimore, MD, United States.
Background: Despite increased insurance coverage since 2010, racial and ethnic minorities in the United States still receive less medical care than White counterparts. The Johns Hopkins School of Nursing's Center for Community Programs, Innovation, and Scholarship (COMPASS Center) provides free wellness services, aiming to address healthcare disparities in the neighborhoods.
Objective: To delineate the types and cost of wellness services provided by the COMPASS Center.
J Urban Health
January 2025
School of Nursing, University of Pennsylvania, 418 Curie Blvd, Fagin Hall, Philadelphia, PA, 19104, USA.
Depression and post-traumatic stress disorder (PTSD) are serious consequences of physical injuries. Stress associated with living in urban neighborhoods with socioecological disadvantages and the cumulative burdens of adverse childhood experiences (ACEs) can lead to poorer psychological outcomes. Limited research has explored how ACEs and socioecological environmental exposures in childhood and adulthood, together, impact post-injury outcomes.
View Article and Find Full Text PDFJ Am Acad Child Adolesc Psychiatry
January 2025
Florida International University, Miami, Florida.
Objective: Addressing the disproportionate use of school detentions and suspensions among Black youth is crucial for reducing educational and health disparities across the lifespan. Yet, few studies have explored external factors beyond school or individual characteristics as potential contributors to school discipline disparities, such as state-level racial bias and neighborhood opportunity.
Method: A subsample from the larger Adolescent Brain Cognitive Development (ABCD) Study® was used (M age at baseline = 9.
Front Public Health
January 2025
School of Humanities and Social Sciences, Xi'an Jiaotong University, Xi'an, China.
Introduction: The community environment is a significant social determinant affecting individual mental health.
Purpose: This study explores the impact mechanisms and urban-rural heterogeneity in the relationship between socioeconomic status and individual mental health, focusing on community environmental perceptions and neighborhood interactions.
Methods: This study used data from the 2021 Chinese General Social Survey (CGSS), selecting a sample of 1,974 respondents.
J Public Health Manag Pract
January 2025
Author Affiliations: Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center (Mrs Manning, Dr Duan, and Dr Brokamp); and Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio (Dr Brokamp).
Context: Area-level predictive models are commonly used to screen children for blood lead levels (BLLs) greater than the Center for Disease Control and Prevention (CDC) blood lead reference value (BLRV) of 3.5 µg/dL.
Objectives: To increase screening accuracy and precision by creating a parcel-level model incorporating housing characteristics to predict parcels where children are at high risk.
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