Introduction:Cognitive impairment poses a serious threat to the health of older adults.Understanding spatial distribution patterns and identifying high-risk areas are essential for developing targeted regional prevent...Introduction:Cognitive impairment poses a serious threat to the health of older adults.Understanding spatial distribution patterns and identifying high-risk areas are essential for developing targeted regional prevention and control strategies.This study examined the spatial distribution and clustering patterns of cognitive impairment in China in 2024.Methods:This study utilized data from the 2024 China Survey of Aging and Health.Rao-Scott chisquare tests were used to compare differences in prevalence across demographic subgroups.Global and local spatial autocorrelation analyses were conducted to examine the spatial distribution patterns and clustering characteristics.Results:In 2024,the prevalence of subjective cognitive decline(SCD)and mild cognitive impairment(MCI)among older adults≥65 years in China was 38.8%and 28.4%,respectively.The prevalence of SCD was highest in western China(45.1%),while MCI was highest in central China(31.0%).Global spatial autocorrelation analysis revealed that SCD(P=0.025)and MCI(P=0.015)distribution exhibited spatial clustering across China.Conclusions:The current burden of cognitive impairment in China’s older population is substantial and characterized by significant regional variations.Prevention and treatment measures should prioritize support for high-prevalence areas with limited resources and promote scientifically based,precise,and efficient cognitive impairment prevention and treatment strategies throughout China.展开更多
China is undergoing a rapid urbanization process,and urbanization will have a direct impact on regional ecosystems and affect regional ecosystem services.Considering the mountainous counties in Southwestern China as t...China is undergoing a rapid urbanization process,and urbanization will have a direct impact on regional ecosystems and affect regional ecosystem services.Considering the mountainous counties in Southwestern China as the research object,this study reveals the spatial clustering characteristics of four typical ecosystem services(food production,soil conservation,water yield and carbon sequestration)as well as the trade-offs and synergies among ecosystem services in different urbanized areas.At the same time,piecewise linear regression is used to determine the threshold of the influence of urbanization on ecosystem services.The results indicate that:1)There are spatial autocorrelations among the four typical ecosystem services;with strong clustering characteristics,the positive correlation types are"clustered"locally;and with significant spatial heterogeneity,the negative correlation types are scattered and mainly appear in the highly urbanized area.2)There are also remarkable differences in the relationship among various ecosystem services in different urbanized areas,and in particular,there are marked trade-offs between food production and carbon sequestration in the moderately urbanized area and the highly urbanized area.However,there are synergies between them in the lowly urbanized area.3)With an increase in the compounded night light index(CNLI),water yield,carbon sequestration,food production and overall ecosystem services values present an increasing-decreasing trend,the soil conservation function value shows a decreasing-increasing trend.The response of water yield,carbon sequestration,food production,and overall ecosystem services to the compounded night light index(CNLI)has a threshold of 1.2642,1.4833,1.3388,1.5146 and 1.2237,respectively.Based on the detected relationships between urbanization and ecosystem services,this study provides a theoretical reference for the selection of urbanization development models in key ecological functional areas.展开更多
基金Supported by the National Key R&D Plan“Intergovernmental International Science and Technology Innovation Cooperation”Key Special Project(2021YFE0111800).
文摘Introduction:Cognitive impairment poses a serious threat to the health of older adults.Understanding spatial distribution patterns and identifying high-risk areas are essential for developing targeted regional prevention and control strategies.This study examined the spatial distribution and clustering patterns of cognitive impairment in China in 2024.Methods:This study utilized data from the 2024 China Survey of Aging and Health.Rao-Scott chisquare tests were used to compare differences in prevalence across demographic subgroups.Global and local spatial autocorrelation analyses were conducted to examine the spatial distribution patterns and clustering characteristics.Results:In 2024,the prevalence of subjective cognitive decline(SCD)and mild cognitive impairment(MCI)among older adults≥65 years in China was 38.8%and 28.4%,respectively.The prevalence of SCD was highest in western China(45.1%),while MCI was highest in central China(31.0%).Global spatial autocorrelation analysis revealed that SCD(P=0.025)and MCI(P=0.015)distribution exhibited spatial clustering across China.Conclusions:The current burden of cognitive impairment in China’s older population is substantial and characterized by significant regional variations.Prevention and treatment measures should prioritize support for high-prevalence areas with limited resources and promote scientifically based,precise,and efficient cognitive impairment prevention and treatment strategies throughout China.
基金supported by the 135 Strategic Program of the Institute of Mountain Hazards and Environment, CAS (NO.SDS-135-1703)the Science and Technology Service Network Initiative (No. KFJ-STS-QYZD-060)+2 种基金Doctor Startup Foundation of China West Normal University (N0. 412650)the Sichuan Center for Rural Development Research Project (No. CR1811)Scientific Research Innovation Team Projects of China West Normal University (N0. CXTD2018-10)
文摘China is undergoing a rapid urbanization process,and urbanization will have a direct impact on regional ecosystems and affect regional ecosystem services.Considering the mountainous counties in Southwestern China as the research object,this study reveals the spatial clustering characteristics of four typical ecosystem services(food production,soil conservation,water yield and carbon sequestration)as well as the trade-offs and synergies among ecosystem services in different urbanized areas.At the same time,piecewise linear regression is used to determine the threshold of the influence of urbanization on ecosystem services.The results indicate that:1)There are spatial autocorrelations among the four typical ecosystem services;with strong clustering characteristics,the positive correlation types are"clustered"locally;and with significant spatial heterogeneity,the negative correlation types are scattered and mainly appear in the highly urbanized area.2)There are also remarkable differences in the relationship among various ecosystem services in different urbanized areas,and in particular,there are marked trade-offs between food production and carbon sequestration in the moderately urbanized area and the highly urbanized area.However,there are synergies between them in the lowly urbanized area.3)With an increase in the compounded night light index(CNLI),water yield,carbon sequestration,food production and overall ecosystem services values present an increasing-decreasing trend,the soil conservation function value shows a decreasing-increasing trend.The response of water yield,carbon sequestration,food production,and overall ecosystem services to the compounded night light index(CNLI)has a threshold of 1.2642,1.4833,1.3388,1.5146 and 1.2237,respectively.Based on the detected relationships between urbanization and ecosystem services,this study provides a theoretical reference for the selection of urbanization development models in key ecological functional areas.
