Gerontology · 2025
Perceived and Objective Neighborhood Environment and Falls among Community-Dwelling Older Adults in High-Density Urban Areas of Guangzhou, China.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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Li Hangxiu, Wu Jiani, Xiaohelaiti Xiayidan, Mahmut Mirkamiljan, Wang Tao, Zhang Yi, Zhou Jingxin
Аннотация
INTRODUCTION: Understanding risk factors associated with perceived and objective neighborhood environments is critical for community-level interventions to prevent falls. This is a cross-sectional design to explore how perceived and objective neighborhood environment are related to falls among community-dwelling older adults in densely populated urban areas. Building upon identified neighborhood environment risk factors, this study proposes preliminary community-level interventions tailored to each determinant.
METHODS: This study analyzed data of 400 community-dwelling older adults (age = 70.9 ± 8.0 years; 49.8% female) in central urban areas of Guangzhou, China. Five categories of variable, perceived neighborhood environment, objective neighborhood environment, sociodemographics, health status, and physical activity, were incorporated. Objective neighborhood environment comprised accessibility to ten types of facilities within 500-meter residential buffers and 1 km2 grid-level population density, measured by ArcGIS using geospatial data. Univariate analyses were employed to select variables and multivariable binary logistic regression were used to establish the adjusted model.
RESULTS: Older adults who perceived low accessibility to service facilities (OR = 2.502, 95% CI: 1.230-5.088), unsatisfying streetscapes (OR = 1.814, 95% CI: 1.001-3.286), and unsafety neighborhood (OR = 2.614, 95% CI: 1.103-6.192) had higher probabilities of reported falls. Surprisingly, having parks (OR = 0.524, 95% CI: 0.319-0.861) or subway stations (OR = 0.556, 95% CI: 0.326-0.951) within the 500-meter residential buffer, and living in neighborhoods with relatively low population density (OR = 0.842, 95% CI: 0.731-0.972) were associated with an increased risk of falls. Young age (OR = 0.927, 95% CI: 0.887-0.970), low income (OR = 2.449, 95% CI: 1.476-4.064), using walking aids (OR = 1.789, 95% CI: 0.960-3.337), and self-rated good health (OR = 0.392, 95% CI: 0.175-0.879) were risk factors of reported falls. Engaging in physical activity for over 30 min per day (OR = 2.148, 95% CI: 1.111-4.154) was identified as a protective factor.
CONCLUSION: Integrating multi-source perceived and objective environmental data, this study found out neighborhood environment risk factors for falls among older adults in high-density urban communities. Our findings contribute to community-level interventions regarding neighborhood environment to reduce falls in older adults in urban areas of developing countries.
METHODS: This study analyzed data of 400 community-dwelling older adults (age = 70.9 ± 8.0 years; 49.8% female) in central urban areas of Guangzhou, China. Five categories of variable, perceived neighborhood environment, objective neighborhood environment, sociodemographics, health status, and physical activity, were incorporated. Objective neighborhood environment comprised accessibility to ten types of facilities within 500-meter residential buffers and 1 km2 grid-level population density, measured by ArcGIS using geospatial data. Univariate analyses were employed to select variables and multivariable binary logistic regression were used to establish the adjusted model.
RESULTS: Older adults who perceived low accessibility to service facilities (OR = 2.502, 95% CI: 1.230-5.088), unsatisfying streetscapes (OR = 1.814, 95% CI: 1.001-3.286), and unsafety neighborhood (OR = 2.614, 95% CI: 1.103-6.192) had higher probabilities of reported falls. Surprisingly, having parks (OR = 0.524, 95% CI: 0.319-0.861) or subway stations (OR = 0.556, 95% CI: 0.326-0.951) within the 500-meter residential buffer, and living in neighborhoods with relatively low population density (OR = 0.842, 95% CI: 0.731-0.972) were associated with an increased risk of falls. Young age (OR = 0.927, 95% CI: 0.887-0.970), low income (OR = 2.449, 95% CI: 1.476-4.064), using walking aids (OR = 1.789, 95% CI: 0.960-3.337), and self-rated good health (OR = 0.392, 95% CI: 0.175-0.879) were risk factors of reported falls. Engaging in physical activity for over 30 min per day (OR = 2.148, 95% CI: 1.111-4.154) was identified as a protective factor.
CONCLUSION: Integrating multi-source perceived and objective environmental data, this study found out neighborhood environment risk factors for falls among older adults in high-density urban communities. Our findings contribute to community-level interventions regarding neighborhood environment to reduce falls in older adults in urban areas of developing countries.