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1.
Chin Med J (Engl) ; 137(6): 704-710, 2024 Mar 20.
Artigo em Inglês | MEDLINE | ID: mdl-38431767

RESUMO

BACKGROUND: Spinal injuries are an urgent public health priority; nevertheless, no China-wide studies of these injuries exist. This study measured the incidence, prevalence, causes, regional distribution, and annual trends of spinal injuries in China from 1990 to 2019. METHODS: We used data from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019 to estimate the incidence and prevalence of spinal injuries in China. The data of 33 provincial-level administrative regions (excluding Taiwan, China) provided by the National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention (CDC) were use to systematically analyze the provincial etiology, geographical distribution, and annual trends of spinal injuries. The Bayesian meta-regression tool DisMod-MR 2.1 was used to ensure the consistency among incidence, prevalence, and mortality rates in each case. RESULTS: From 1990 to 2019, the number of living patients with spinal injuries in China increased by 138.32%, from 2.14 million to 5.10 million, while the corresponding age-standardized prevalence increased from 0.20% (95% uncertainty interval [UI]: 0.18-0.21%) to 0.27% (95% UI: 0.26-0.29%). The incidence of spinal injuries in China increased by 89.91% (95% UI: 72.39-107.66%), and the prevalence increased by 98.20% (95% UI: 89.56-106.82%), both the most significant increases among the G20 countries; 71.00% of the increase could be explained by age-specific prevalence. In 2019, the incidence was 16.47 (95% UI: 12.08-22.00, per 100,000 population), and the prevalence was 358.30 (95% UI: 333.96-386.62, per 100,000 population). Based on the data of 33 provincial-level administrative regions provided by CDC, age-standardized incidence and prevalence were both highest in developed provinces in Eastern China. The primary causes were falls and road injuries; however, the prevalence and specific causes differed across provinces. CONCLUSIONS: In China, the overall disease burden of spinal injuries increased significantly during the past three decades but varied considerably according to geographical location. The primary causes were falls and road injuries; however, the prevalence and specific causes differed across provinces.


Assuntos
Carga Global da Doença , Traumatismos da Coluna Vertebral , Humanos , Prevalência , Incidência , Teorema de Bayes , China/epidemiologia , Traumatismos da Coluna Vertebral/epidemiologia
2.
Lancet Reg Health West Pac ; 38: 100810, 2023 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-37435093

RESUMO

Background: The disease burden of gastrointestinal disease (GD) in China is high, with significant variation across provinces. A comprehensive agreed set of indicators could guide rational resource allocation to support better GD outcomes. Methods: This study collected data from multiple sources, including national surveillance, surveys, registration systems, and scientific research. Literature reviews and Delphi methods were used to obtain monitoring indicators; the analytic hierarchy process was used to determine indicator weights. Findings: The China Gastrointestinal Health Index (GHI) system consisted of four dimensions and 46 indicators. The weight of the four dimensions from high to low included the prevalence of gastrointestinal non-neoplastic diseases and gastrointestinal neoplasms (GN) (0.3246), clinical treatment of GD (0.2884), prevention and control of risk factors (0.2606), and exposure to risk factors (0.1264). The highest indicator weight of GHI rank was the successful smoking cessation rate (0.1253), followed by the 5-year survival rate of GN (0.0905), and the examination rate of diagnostic oesophagogastroduodenoscopy (0.0661). The overall GHI for China in 2019 was 49.89, varying from 39.19 to 76.13 across all sub-regions. The top five sub-regions in the total GHI score were in the eastern region. Interpretation: GHI is the first system designed to monitor gastrointestinal health systematically. In the future, data from sub-regions of China should be used to test and improve the GHI system for its impact. Funding: This research was supported by the National Health Commission of China, the First Affiliated Hospital of Naval Medical University (2019YXK006), and the Science and Technology Commission of Shanghai Municipality (21Y31900100).

3.
BMJ Open ; 13(7): e071407, 2023 07 20.
Artigo em Inglês | MEDLINE | ID: mdl-37474175

RESUMO

OBJECTIVE: This study aims to comprehensively evaluate the resources for prevention and control of chronic and non-communicable diseases (NCDs) in China to provide a reference basis for optimising the resource allocation for prevention and control of NCDs. METHODS: China Chronic Disease and Risk Factor Surveillance sites and National Demonstration Areas for Integrated Chronic and Non-communicable Disease Prevention and Control (NCDDA) were selected as investigation objects. In December 2021, the district (or county) resource allocation for NCD prevention and control was investigated through the NCDDA management information system. According to the index system of NCD prevention and control, 31 indicators of 6 dimensions were collected, and the weighted technique for order preference by similarity to an ideal solution, weighted rank-sum ratio and fuzzy comprehensive evaluation methods were used for comprehensive evaluation of resources for prevention and control of NCDs. RESULTS: The 653 districts (or counties) in this study cover 22.96% of China's districts (or counties). The top three weights were full-time staff for NCD prevention and control (0.1066), the amount of funds for NCD prevention and control (0.0967), and the coverage rate of districts (or counties) establishing chronic obstructive pulmonary disease surveillance information system (0.0886). The comprehensive evaluation results for the resources for prevention and control of NCDs by the three methods were basically the same. The results of fuzzy comprehensive evaluation showed that the resource allocation in urban areas (0.9268) was better than that in rural areas (0.3257), the one in eastern region (0.9016) was better than that in central (0.3844) and western regions (0.3868), and the one in NCDDA (0.9625) was better than that in non-NCDDA (0.2901). CONCLUSION: The resources in China for NCD prevention and control differ among different regions, which should be taken into account in future policymaking and resource allocation.


Assuntos
Doenças não Transmissíveis , Humanos , Doenças não Transmissíveis/epidemiologia , Doenças não Transmissíveis/prevenção & controle , Estudos Transversais , Fatores de Risco , Doença Crônica , China/epidemiologia
4.
Popul Health Metr ; 20(1): 20, 2022 11 04.
Artigo em Inglês | MEDLINE | ID: mdl-36333770

RESUMO

BACKGROUND: Chronic pain is a common disease; about 20% of people worldwide suffer from it. While compared with the research on the prevalence and management of chronic pain in developed countries, there is a relative lack of research in this field in China. This research aims to construct the China Pain Health Index (CPHI) to evaluate the current status of the prevalence and management of chronic pain in the Chinese population. METHODS: The dimensions and indicators of CPHI were determined through literature review, Delphi method, and analytical hierarchy process model, and the original values ​​of relevant indicators were obtained by collecting multi-source data. National and sub-provincial scores of CPHI (2020) were calculated by co-directional transformation, standardization, percentage transformation of the aggregate, and weighted summation. RESULTS: The highest CPHI score in 2020 is Beijing, and the lowest is Tibet. The top five provinces are Beijing (67.64 points), Shanghai (67.04 points), Zhejiang (65.74 points), Shandong (61.16 points), and Tianjin (59.99 points). The last five provinces are Tibet (33.10 points), Ningxia (37.24 points), Guizhou (39.85 points), Xinjiang (39.92 points), and Hainan (40.38 points). The prevalence of chronic pain is severe in Heilongjiang, Chongqing, Guizhou, Sichuan, and Fujian. Guizhou, Hainan, Xinjiang, Beijing, and Guangdong display a high burden of chronic pain. The five provinces of Guangdong, Shanghai, Beijing, Jiangsu, and Zhejiang have better treatment for chronic pain, while Tibet, Qinghai, Jilin, Ningxia, and Xinjiang have a lower quality of treatment. Beijing, Shanghai, Qinghai, Guangxi, and Hunan have relatively good development of chronic pain disciplines, while Tibet, Sichuan, Inner Mongolia, Hebei, and Guizhou are relatively poor. CONCLUSION: The economically developed provinces in China have higher CPHI scores, while economically underdeveloped areas have lower scores. The current pain diagnosis and treatment situation in economically developed regions is relatively good, while that in financially underdeveloped areas is rather poor. According to the variations in the prevalence and management of chronic pain among populations in different provinces in China, it is necessary to implement chronic pain intervention measures adapted to local conditions.


Assuntos
Dor Crônica , Humanos , China/epidemiologia , Prevalência , Dor Crônica/epidemiologia , Dor Crônica/terapia
5.
Eur J Public Health ; 32(5): 773-778, 2022 10 03.
Artigo em Inglês | MEDLINE | ID: mdl-36190153

RESUMO

BACKGROUND: To analysis the death and disease burden caused by high sugar-sweetened beverages intake in China from 1990 to 2019. METHODS: Data were obtained from the 2019 Global Burden of Disease Study. We analyzed the death cases caused by high sugar-sweetened beverages intake in China and provinces from 1990 to 2019, as well as the disease burden (including disability-adjusted of life year), years of life lost and years lived with disability, and compared the changes of death in 1990 and 2019. RESULTS: In 2019, the number of deaths attributed to sugar-sweetened beverages in China reached 46 633 with an increase of 95% compared with 1990. The proportion of deaths caused by excessive consumption of carbon-containing beverages increased from 0.34% in 1990 to 0.46% in 2019, an increase of 35%. In 2019, the top five provinces in China with more deaths caused by excessive intake of sugary beverages were Shandong, Henan, Hebei, Hunan and Guangdong, with the number of death cases 4337, 3881, 3010, 2762 and 2611, respectively. CONCLUSIONS: The number of deaths and disease burdens caused by high sugar-sweetened beverages intake in China has increased significantly over the past three decades. The burden of disease due to high intake of sugary beverages varies widely from province to province. We suggest that attention should be paid to the problem of excessive intake of high sugar-sweetened beverages for Chinese population. In addition to regular monitoring and investigation of sugar-sweetened beverage intake, comprehensive measures should be taken in China's sugar control work.


Assuntos
Bebidas Adoçadas com Açúcar , Carbono , China/epidemiologia , Efeitos Psicossociais da Doença , Ingestão de Energia , Humanos , Bebidas Adoçadas com Açúcar/efeitos adversos , Açúcares
6.
Lancet Public Health ; 5(12): e682-e691, 2020 12.
Artigo em Inglês | MEDLINE | ID: mdl-33271081

RESUMO

BACKGROUND: Vision loss is an important public health issue in China, but a detailed understanding of national and regional trends in its prevalence and causes, which could inform health policy, has not been available. This study aimed to assess the prevalence, causes, and regional distribution of vision impairment and blindness in China in 1990 and 2019. METHODS: Data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 were used to estimate the prevalence of moderate and severe vision impairment and blindness in China and compare with other Group of 20 (G20) countries. We used GBD methodology to systematically analyse all available demographic and epidemiological data at the provincial level in China. We compared the age-standardised prevalences across provinces, and the changes in proportion of vision loss attributable to various eye diseases in 1990 and 2019. We used two different counterfactual scenarios with respect to population structure and age-specific prevalence to assess the contribution of population growth and ageing to trends in vision loss. FINDINGS: In 2019, the age-standardised prevalence was 2·57% (uncertainty interval [UI] 2·28-2·86) for moderate vision impairment, 0·25% (0·22-0·29) for severe vision impairment, and 0·48% (0·43-0·54) for blindness in China, which were all below the global average, but the prevalence of moderate and severe vision impairment had increased more rapidly than in other G20 countries from 1990 to 2019. The prevalence of vision loss increased with age, and the main causes of vision loss varied across age groups. The leading causes of vision impairment in China were uncorrected refractive error, cataract, and macular degeneration in both 1990 and 2019 in the overall population. From 1990 to 2019, the number of people with moderate vision impairment increased by 133·67% (from 19·65 to 45·92 million), those with severe vision impairment increased by 147·14% (from 1·89 to 4·67 million), and those with blindness increased by 64·35% (from 5·29 to 8·69 million); in each case, 20·16% of the increase could be explained by population growth. The contributions to these changes by population ageing were 87·22% for moderate vision impairment, 116·06% for severe vision impairment, and 99·22% for blindness, and the contributions by age-specific prevalence were 26·29% for moderate vision impairment, 10·91% for severe vision impairment, and -55·04% for blindness. The prevalence and specific causes of vision loss differed across provinces. INTERPRETATION: Although a comprehensive national policy to prevent blindness is in place, public awareness of visual health needs improving, and reducing the prevalence of moderate and severe vision impairment should be prioritised in future work. FUNDING: China National Key Research and Development Programme and Beijing Municipal Special Funds for Medical Research on Public Welfare Development and Reform.


Assuntos
Cegueira/epidemiologia , Cegueira/etiologia , Adolescente , Adulto , Fatores Etários , Idoso , Envelhecimento , Catarata/complicações , Criança , Pré-Escolar , China/epidemiologia , Feminino , Carga Global da Doença , Saúde Global , Humanos , Degeneração Macular/complicações , Masculino , Pessoa de Meia-Idade , Prevalência , Erros de Refração/complicações , Fatores de Risco , Índice de Gravidade de Doença , Adulto Jovem
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