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Can China achieve a one-third reduction in premature mortality from non-communicable diseases by 2030?

Overview of attention for article published in BMC Medicine, July 2017
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Title
Can China achieve a one-third reduction in premature mortality from non-communicable diseases by 2030?
Published in
BMC Medicine, July 2017
DOI 10.1186/s12916-017-0894-5
Pubmed ID
Authors

Yichong Li, Xinying Zeng, Jiangmei Liu, Yunning Liu, Shiwei Liu, Peng Yin, Jinlei Qi, Zhenping Zhao, Shicheng Yu, Yuehua Hu, Guangxue He, Alan D. Lopez, George F. Gao, Linhong Wang, Maigeng Zhou

Abstract

The United Nation's Sustainable Development Goals for 2030 include reducing premature mortality from non-communicable diseases (NCDs) by one third. To assess the feasibility of this goal in China, we projected premature mortality in 2030 of NCDs under different risk factor reduction scenarios. We used China results from the Global Burden of Disease Study 2013 as empirical data for projections. Deaths between 1990 and 2013 for cardiovascular disease (CVD), diabetes, chronic respiratory disease, cancer, and other NCDs were extracted, along with population numbers. We disaggregated deaths into parts attributable and unattributable to high systolic blood pressure (SBP), smoking, high body mass index (BMI), high total cholesterol, physical inactivity, and high fasting glucose. Risk factor exposure and deaths by NCD category were projected to 2030. Eight simulated scenarios were also constructed to explore how premature mortality will be affected if the World Health Organization's targets for risk factors reduction are achieved by 2030. If current trends for each risk factor continued to 2030, the total premature deaths from NCDs would increase from 3.11 million to 3.52 million, but the premature mortality rate would decrease by 13.1%. In the combined scenario in which all risk factor reduction targets are achieved, nearly one million deaths among persons 30 to 70 years old due to NCDs would be avoided, and the one-third reduction goal would be achieved for all NCDs combined. More specifically, the goal would be achieved for CVD and chronic respiratory diseases, but not for cancer and diabetes. Reduction in the prevalence of high SBP, smoking, and high BMI played an important role in achieving the goals. Reaching the goal of a one-third reduction in premature mortality from NCDs is possible by 2030 if certain targets for risk factor intervention are reached, but more efforts are required to achieve risk factor reduction.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 113 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 14%
Student > Ph. D. Student 11 10%
Researcher 10 9%
Student > Bachelor 10 9%
Student > Postgraduate 6 5%
Other 20 18%
Unknown 40 35%
Readers by discipline Count As %
Medicine and Dentistry 18 16%
Nursing and Health Professions 16 14%
Economics, Econometrics and Finance 9 8%
Psychology 5 4%
Agricultural and Biological Sciences 3 3%
Other 18 16%
Unknown 44 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 July 2017.
All research outputs
#20,701,376
of 23,301,510 outputs
Outputs from BMC Medicine
#3,398
of 3,507 outputs
Outputs of similar age
#273,329
of 313,355 outputs
Outputs of similar age from BMC Medicine
#53
of 53 outputs
Altmetric has tracked 23,301,510 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,507 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 313,355 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.