Subjects: Medicine, Pharmacy >> Preventive Medicine and Hygienics submitted time 2024-01-03 Cooperative journals: 《中国全科医学》
Abstract： Background China is gradually entering an ageing society and the health of the middle-aged and elderly is a growing concern，with chronic diseases such as hypertension，diabetes，coronary heart disease and stroke becoming major health threats. At the same time，the uneven distribution of health resources has led to regional differences in medical level and service quality. Objective To explore the correlation between the prevalence of chronic diseases，regional differences in the types of diseases and health care resources among middle-aged and elderly people in China. Methods A total of 19 520 middle aged and older adults ≥ 45 years of age were selected by cleaning，organizing and statistically analyzing the data from the China Health and Retirement Longitudinal Study（CHARLS） 2018 from October 2022 to March 2023，and 2018 statistics from the China Health Statistics Yearbook（2011-2020） were selected as the corresponding data related to health resources. Multiple linear regression analysis was used to analyze the correlation between Theil index of the number of beds，number of health technicians ［practicing（assistant）physicians，registered nurses，rural doctors and health workers］，financial expenditures （total health expenditure），number of health institutions（hospitals，primary care institutions，professional public health institutions）and the prevalence of chronic diseases in middle-aged and elderly people in each province. Results There were significant differences in the prevalence of chronic diseases（χ2 =57.900，P<0.001） and the number of chronic diseases（χ2 =11.138，P=0.004） among the middle-aged and elderly people living in the eastern，central and western regions. Among the 14 types of chronic diseases，there were significant differences in the prevalence of chronic lung disease（χ2 =30.906，P<0.001），liver disease（χ2 =17.871，P<0.001），cerebrovascular disease（χ2 =18.313，P<0.001），kidney disease（χ2 =24.383，P<0.001），digestive system diseases（χ2 =16.973，P<0.001），memory-related diseases（χ2 =6.898，P=0.032）and asthma（χ2 =22.055，P<0.001）in middle-aged and elderly people living in the eastern，central and western regions of China. The results of the multiple linear regression analysis showed that the prevalence of chronic diseases in middle-aged and elderly people was correlated with hospitals，primary care institutions，practicing（assistant） physicians，registered nurses，rural doctors and the equity of health financial expenditures in middle-aged and elderly people（P<0.05）. Conclusion Regional health management of major chronic diseases should be strengthened，the ability of disease prevention and health management in primary care should be improved，medical and health personnel should be strengthened，the regional health resources allocation balance should be improved，so as to shorten the regional differences in the prevalence of chronic diseases among middle-aged and elderly people in the eastern，central and western China.
Subjects: Medicine, Pharmacy >> Clinical Medicine submitted time 2023-11-16 Cooperative journals: 《中国全科医学》
Abstract： Background The aging of our population and the intensification of major chronic disease problems will inevitably lead to an increase in the number of disabled people，resulting in increased pressure on social care and a heavier burden on the government and families for the elderly. At the same time，the unbalanced allocation of health resources will pose even more serious challenge to the medical treatment and nursing care of the disabled population. Objective To explore the differences of disability rate，disability degree and influencing factors among middle-aged and elderly people in eastern, central and westernregions of China. Methods Data from the 2018 China Health and Retirement Longitudinal Study（CHARLS） were analyzed from 2022-10-05 to 2023-01-13, and 19 170 middle-aged and elderly people aged 45 years and above were selected as the study subjects. Activities of daily living（ADL） and instrumental activities of daily living（IADL） scales were used to determine disability. The situation and degree of disability in middle-aged and elderly people were considered as dependent variables，and independent variables were selected from three aspects of general demographic characteristics，health evaluation and lifestyle according to CHARLS data questionnaire. Binary and multivariate Logistic regression analyses were conducted to analyze the factors affecting the disability and degree of disability of middle-aged and elderly people in eastern, central and western regions of China. Results Comparison of the rate and degree of disability among middle-aged and elderly people in eastern，central and western regions showed statistically significant differences（χ2 =143.014，P<0.001；χ2 =136.356，P<0.001）. Mild disability predominated among middle-aged and elderly people in eastern，central and western regions； the difference was statistically significant when comparing the age composition of middle-aged and elderly people with mild and severe disability in eastern，central and western regions（P<0.05）. There were commonalities and characteristics in the influencing factors of disability and disability degree in the three regions. Age，education level and self-rated health status were the common influencing factors of disability in middle-aged and elderly people in eastern，central and western regions（P<0.05）. Gender and physical disability were the independent influencing factors for the development of disability in middle-aged and elderly people in eastern China （P<0.05）. The risk of disability in middle-aged and elderly people in females was 86.0% higher than that in males（OR=1.860， 95%CI=1.036 to 3.338）. Marital status and combining with chronic disease were the independent influencing factors for disability in middle-aged and elderly people（P<0.05）. Residence，brain damage/intellectual impairment were the independent influencing factors for disability among middle-aged and elderly people in western China（P<0.05）. Conclusion Targeted prevention and treatment strategies should be formulated focusing on regional differences in the disability status of middle-aged and elderly people and influencing factors. Publicity and education should be strengthened，the construction of primary care and community health management systems should be improved，regionalized medical services and rehabilitation guidance should be provided，so as to reduce the degree of disability among middle-aged and elderly people，prevent the deepening of disability，and alleviate regional disparities in disability.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2022-04-07 Cooperative journals: 《计算机应用研究》
Abstract： Traffic flow prediction is an important part of intelligent transportation system. Due to the complexity of traffic data, long-term and accurate traffic flow prediction has always been one of the most challenging tasks in time series forecasting. In recent years, researchers have applied spatial-temporal graph modeling methods based on graph neural networks to traffic flow prediction tasks which achieved good prediction performance. However, existing graph modeling methods only reflect the spatial dependence in road networks through predefined adjacency structures, ignoring the importance of time-series correlation between nodes for prediction. Aiming at this limitation, this paper proposed an Adaptive Gated Graph Neural Network (Ada-GGNN) , the core of which was to simultaneously capture the spatial structure of the road network and adaptive time series correlation through the spatial passing module, and learned time-series features on nodes through the gating mechanism. The experimental results on two real-world traffic network datasets PeMSD7 and Los-loop show that the model has better performance.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-08-13 Cooperative journals: 《计算机应用研究》
Abstract： In order to solve the problem that k-means clustering algorithm is dependent on the initial value and easily falls into the local optimum, this paper proposed a K-means clustering algorithm based on improved flower pollination. Firstly, the algorithm used the chaotic map sequence as the initial position of the flower population to ensure the diversity and determinacy of the flower population in the search space; Then, it introduced a tabu search algorithm in the late stage of flower pollination to avoid falling into the local optimal solution; Finally, used the improved flower pollination algorithm to optimize the initial value of the k-means algorithm. Experimental results on five clustering datasets show that the improved algorithm improves the average clustering accuracy by 12.2% compared with the flower pollination clustering algorithm, which proves that the proposed algorithm has better clustering performance for low-dimensional datasets.
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