Literature DB >> 32487173

Modelling and prediction of global non-communicable diseases.

Yang Wang1,2, Jinfeng Wang3,4.   

Abstract

BACKGROUND: Non-communicable diseases (NCDs) are the main health and development challenge facing humankind all over the world. They are inextricably linked to socio-economic development. Deaths caused by NCDs should be different in different socio-economic development stages. The stratified heterogeneity of NCD deaths is currently not fully explored.
METHODS: Countries were classified according to their socio-economic types and development stages, which were illustrated as a tree-like structure called Geotree. NCD deaths were linked to the countries and so were attached to the Geotree, which was modelled by a multilevel model (MLM) approach. Accordingly, the levels of NCD death indexes were predicted for 2030.
RESULTS: Through the Geotree structure constructed in the study, it can be seen that the NCD death index has obvious stratified heterogeneity; that is, the NCD death index shows different trends in different country types and socio-economic development stages. In the first-level branches (country type), as national income increases, NCD mortality rate decreases and the proportion of NCD deaths to total deaths increases. In the secondary-level trunks (socio-economic development stage), as a country's development stage rises, the NCD mortality rate decreases and the proportion of NCD deaths to total deaths increases. In addition, combined with the hierarchical nature of the evolution tree model, the MLM was used to predict the global NCD death index for 2030. The result was that by 2030, the global average age-standardized NCD mortality rate would be 510.54 (per 100,000 population) and the global average mortality for NCD deaths of the total number of deaths would be 75.26%.
CONCLUSIONS: This study found that there is a significant association between socio-economic factors and NCD death indicators in the tree-like structure. In the Geotree, countries on the same branch or trunk can learn from countries with higher development stages to formulate more effective NCD response policies and find the right prevention and treatment path.

Entities:  

Keywords:  Geotree; Non-communicable diseases; Prediction; Socio-economic factors

Year:  2020        PMID: 32487173     DOI: 10.1186/s12889-020-08890-4

Source DB:  PubMed          Journal:  BMC Public Health        ISSN: 1471-2458            Impact factor:   3.295


  20 in total

Review 1.  User Perceptions of eHealth and mHealth Services Promoting Physical Activity and Healthy Diets: Systematic Review.

Authors:  Jenny Rossen; Julia Bergevi; Susanne Andermo; Yohannes Woldamanuel; Unn-Britt Johansson; Maria Hagströmer
Journal:  JMIR Hum Factors       Date:  2022-06-28

2.  Computer-Aided Drug Design of Natural Candidates for the Treatment of Non-Communicable Diseases.

Authors:  Hilal Zaid; Siba Shanak; Akhilesh K Tamrakar
Journal:  Evid Based Complement Alternat Med       Date:  2022-06-26       Impact factor: 2.650

3.  Integrating tuberculosis and noncommunicable diseases care in low- and middle-income countries (LMICs): A systematic review.

Authors:  Chuan De Foo; Pami Shrestha; Leiting Wang; Qianmei Du; Alberto L García-Basteiro; Abu Saleh Abdullah; Helena Legido-Quigley
Journal:  PLoS Med       Date:  2022-01-18       Impact factor: 11.069

Review 4.  Nutrition in New Zealand: Can the Past Offer Lessons for the Present and Guidance for the Future?

Authors:  Jane Coad; Kevin Pedley
Journal:  Nutrients       Date:  2020-11-09       Impact factor: 5.717

5.  Social marketing-based interventions to promote healthy nutrition behaviors: a systematic review protocol.

Authors:  Azam Doustmohammadian; Marjan Bazhan
Journal:  Syst Rev       Date:  2021-03-11

6.  Integrating a Positron Emission Tomography/Computed Tomography Into the National Health System of Cyprus: Will It Return on Its Investment?

Authors:  Dimitra Kefallonitou; Irene Polycarpou; Kyriakos Souliotis; Konstantinos Giannakou
Journal:  Front Public Health       Date:  2021-03-10

7.  Referral practices of medical practitioners in central South Africa to physiotherapy services for patients living with musculoskeletal conditions.

Authors:  Roline Y Barnes; Alida Janse van Rensburg; Jacques E Raubenheimer
Journal:  S Afr J Physiother       Date:  2021-09-30

8.  A Novel Integrated Biomarker for Evaluation of Risk and Severity of Coronary Atherosclerosis, and Its Validation.

Authors:  Victoria A Metelskaya; Natalia E Gavrilova; Maria V Zhatkina; Elena B Yarovaya; Oxana M Drapkina
Journal:  J Pers Med       Date:  2022-02-02

9.  Coexistence of risk factors for cardiovascular diseases among Brazilian adolescents: Individual characteristics and school environment.

Authors:  Thales Philipe Rodrigues da Silva; Fernanda Penido Matozinhos; Lucia Helena Almeida Gratão; Luana Lara Rocha; Luisa Arantes Vilela; Tatiana Resende Prado Rangel de Oliveira; Cristiane de Freitas Cunha; Larissa Loures Mendes
Journal:  PLoS One       Date:  2021-07-19       Impact factor: 3.240

10.  Cardiometabolic Health Status, Ethnicity and Health-Related Quality of Life (HRQoL) Disparities in an Adult Population: NutrIMDEA Observational Web-Based Study.

Authors:  Rosa Ribot-Rodriguez; Andrea Higuera-Gomez; Rodrigo San-Cristobal; Roberto Martín-Hernández; Víctor Micó; Isabel Espinosa-Salinas; Ana Ramírez de Molina; J Alfredo Martínez
Journal:  Int J Environ Res Public Health       Date:  2022-03-03       Impact factor: 3.390

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.