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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The burden of premature mortality in Poland analysed with the use of standard expected years of life lost
|
|---|---|
| Published in |
BMC Public Health, February 2015
|
| DOI | 10.1186/s12889-015-1487-x |
| Pubmed ID | |
| Authors |
Irena Maniecka-Bryła, Marek Bryła, Paweł Bryła, Małgorzata Pikala |
| Abstract |
Despite positive changes in the health of the population of Poland, compared to the EU average, the average life expectancy in 2011 was 5 years shorter for males and 2.2 years shorter for females. The immediate cause is the great number of premature deaths, which results in years of life lost in the population. The aim of the study was to identify the major causes of years of life lost in Poland. The analysis was based on a database of the Central Statistical Office of Poland, containing information gathered from 375,501 death certificates of inhabitants of Poland who died in 2011. The SEYLLp (Standard Expected Years of Life Lost per living person) and the SEYLLd (SEYLL per death) measures were calculated to determine years of life lost. In 2011, the total number of years of life lost by in Polish residents due to premature mortality was 2,249,213 (1,415,672 for males and 833,541 for females). The greatest number of years of life lost in males were due to ischemic heart disease (7.8 per 1,000), lung cancer (6.0), suicides (6.6), cerebrovascular disease (4.6) and road traffic accidents (5.4). In females, the factors contributing to the greatest number of deaths were cerebrovascular disease (3.8 per 1,000), ischemic heart disease (3.7), heart failure (2.7), lung cancer (2.5) and breast cancer (2.3). Regarding the individual scores per person in both males and females, the greatest death factors were road traffic accidents (20.2 years in males and 17.1 in females), suicides (17.4 years in males and 15.4 in females) and liver cirrhosis (12.1 years in males and 11.3 in females). It would be most beneficial to further reduce the number of deaths due to cardiovascular diseases, because they contribute to the greatest number of years of life lost. Moreover, from the economic point of view, the most effective preventative activities are those which target causes which result in a large number of years of life lost at productive age for each death due to a particular reason, i.e. road traffic accidents, suicides and liver cirrhosis. |
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 % |
|---|---|---|
| Unknown | 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Turkey | 1 | 3% |
| Unknown | 39 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 18% |
| Professor > Associate Professor | 5 | 13% |
| Other | 4 | 10% |
| Student > Master | 4 | 10% |
| Student > Ph. D. Student | 4 | 10% |
| Other | 6 | 15% |
| Unknown | 10 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 40% |
| Psychology | 3 | 8% |
| Nursing and Health Professions | 2 | 5% |
| Engineering | 2 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 13 | 33% |
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 07 February 2015.
All research outputs
#20,258,256
of 22,787,797 outputs
Outputs from BMC Public Health
#13,882
of 14,854 outputs
Outputs of similar age
#296,691
of 352,561 outputs
Outputs of similar age from BMC Public Health
#202
of 220 outputs
Altmetric has tracked 22,787,797 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 14,854 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. 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 352,561 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 220 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.