You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Burden attributable to Cardiometabolic Diseases in Zimbabwe: a retrospective cross-sectional study of national mortality data
|
|---|---|
| Published in |
BMC Public Health, December 2015
|
| DOI | 10.1186/s12889-015-2554-z |
| Pubmed ID | |
| Authors |
Mutsa P. Mutowo, Alice J. Owen, Baki Billah, Paula K. Lorgelly, Kudzai E. Gumbie, John C. Mangwiro, Andre M. N. Renzaho |
| Abstract |
Cardiometabolic diseases (CMDs) are an important cause of mortality worldwide and the burden associated with them is increasing in Sub-Saharan Africa. The tracking of mortality helps support evidence based health policy and priority setting. Given the growing prevalence of non-communicable diseases in Zimbabwe, a study was designed to determine the mortality attributable to CMDs in Zimbabwe. The study design was a retrospective cross-sectional analysis of national mortality from 1996 to 2007, collated by the Ministry of Health and Child Welfare in Zimbabwe. We employed generalized additive models to flexibly estimate the trend of the CMD mortality and a logistic regression model was used to find significant factors (cause of death according to the death certificate) of the CMD mortality and predict CMD mortality to 2040. CMDs accounted for 8.13 % (95 % CI: 8.08 % - 8.18 %) of all deaths during 1996 to 2007 (p = 0.005). During the study period CMD mortality rate increased by 29.4 % (95 % CI: 19.9 % - 41.1 %). The association between gender and CMD mortality indicated female mortality was higher for diabetes (p < 0.001), hypertensive disease (p < 0.001), CVD (p < 0.001) and pulmonary disease (p < 0.001), while male mortality was higher for ischaemic (p = 0.010) and urinary diseases (p < 0.001). There was no gender difference for endocrine disease (p = 0.893). Overall, females have 1.65 % higher mortality than males (p < 0.001). CMD mortality is predicted to increase from 9.6 % (95 % CI: 8.0 % - 11.1 %) in 2015 to 13.7 % (95 % CI: 10.2 % - 17.2 %) in 2040 for males, and from 11.6 % (95 % CI: 10.2 % - 12.9 %) in 2015 to 16.2 % (95 % CI: 13.1 % - 19.3 %) in 2040 in females. The findings of this study indicate a growing prevalence of CMDs and related mortality in Zimbabwe. Health policy decisions and cost-effective preventive strategies to reduce the burden of CMDs are urgently required. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 85 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 14 | 16% |
| Researcher | 13 | 15% |
| Student > Bachelor | 10 | 12% |
| Student > Postgraduate | 8 | 9% |
| Student > Ph. D. Student | 7 | 8% |
| Other | 15 | 18% |
| Unknown | 18 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 24% |
| Nursing and Health Professions | 10 | 12% |
| Social Sciences | 9 | 11% |
| Economics, Econometrics and Finance | 5 | 6% |
| Biochemistry, Genetics and Molecular Biology | 5 | 6% |
| Other | 16 | 19% |
| Unknown | 20 | 24% |
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 08 December 2015.
All research outputs
#18,809,260
of 23,310,485 outputs
Outputs from BMC Public Health
#13,130
of 15,196 outputs
Outputs of similar age
#283,036
of 390,742 outputs
Outputs of similar age from BMC Public Health
#196
of 226 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,196 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one is in the 6th percentile – i.e., 6% 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 390,742 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 226 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.