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Neighborhood Effect on Elderly Depression in Republic of Korea

Bibliographic Data

ID15515393
AuthorsJi-Hyon Hwang (0000-0001-8159-5760, Korea National University of Transportation), Yong-Jin Kim (0000-0002-6450-3067, Korea National University of Transportation, corresponding author)
Year2023
Volume20
Issue6
Pages5200-5200
Publication date2023-03-15
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph20065200
PMID36982109
OpenAlexW4327622528
LanguageEN
Citations received1
References cited21

This study analyzed the spatial distribution patterns of depression among vulnerable elderly across Republic of Korea. The average level of depression in the basic administrative districts was derived using the individual depression scores from the Health Interview Survey data. Results of the spatial autocorrelation analysis revealed that the Moran's I value was 0.3138, indicating the existence of a neighborhood effect in the depression of the vulnerable older adults at the regional level. Subsequently, cluster analysis and one-way ANOVA were conducted for the hot spots where vulnerable older adult depression was concentrated. Based on the cluster analysis results, hot spots were the areas where the facilities that are necessary for the daily lives of older adults were insufficient and were categorized into three types. The findings indicate that environmental characteristics at the regional level should be considered in addition to the environmental characteristics of the house and neighborhood, which have been primarily addressed in previous studies

Cluster (spacecraft · Depression (economics · Environmental health · Geography · Sociology · Demography · Diverse Topics in Contemporary Research · Korean Urban and Social Studies · Medicine · Psychology · Gerontology

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    Open Access•Soo Jin Kang, Jinseub Hwang et al.•Frontiers in Public Health•2024

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Citations per year0.5
Citation span2024 - 2024 (1)
Highly citedNo

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