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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Global risk factor rankings: the importance of age-based health loss inequities caused by alcohol and other risk factors
|
|---|---|
| Published in |
BMC Research Notes, June 2015
|
| DOI | 10.1186/s13104-015-1207-8 |
| Pubmed ID | |
| Authors |
Kevin D Shield, Jürgen Rehm |
| Abstract |
Achieving health equity is a priority of the World Health Organization; however, there is a scant amount of literature on this topic. As the underlying influences that determine health loss caused by risk factors are age-dependent, the aim of this paper is to examine how the risk factor rankings for health loss differ by age. Rankings were based on data obtained from the 2010 Global Burden of Disease study. Health loss (as measured by Disability Adjusted Life Years lost) by risk factor was estimated using Population-Attributable Fractions, years of life lost due to premature mortality, and years lived with disability, which were calculated for 187 countries, 20 age groups and both sexes. Uncertainties of the risk factor rankings were estimated using 1,000 simulations taken from posterior distributions The top risk factors by age were: household air pollution for neonates 0-6 days of age [95% uncertainty interval (UI): 1 to 1]; suboptimal breast feeding for children 7-27 days of age (95% UI: 1-1); childhood underweight for children 28 days to less than 1 year of age and 1-4 years of age (95% UI: 1-2 and 1-1, respectively); iron deficiency for children and youth 5-14 years of age (95% UI: 1-1); alcohol use for people 15-49 years of age (95% UI: 1-2); and dietary risks for people 50 years of age and older (95% UI: 1-1). Rankings of risk factors varied by sex among the older age groups. Alcohol and smoking were the most important risk factors among men 15 years of age and older, and high body mass and intimate partner violence were some of the most important risk factors among women 15 years of age and older. Our analyses confirm that the relative importance of risk factors is age-dependent. Therefore, preventing harms caused by various modifiable risk factors using interventions that target people of different ages should be a priority, especially since easily implemented and cost-effective public health interventions exist. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 1 | 33% |
| Australia | 1 | 33% |
| United States | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
| Scientists | 1 | 33% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 160 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Unknown | 159 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 14% |
| Student > Bachelor | 21 | 13% |
| Student > Master | 18 | 11% |
| Student > Ph. D. Student | 13 | 8% |
| Other | 8 | 5% |
| Other | 25 | 16% |
| Unknown | 52 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 25 | 16% |
| Medicine and Dentistry | 23 | 14% |
| Social Sciences | 14 | 9% |
| Psychology | 11 | 7% |
| Biochemistry, Genetics and Molecular Biology | 5 | 3% |
| Other | 20 | 13% |
| Unknown | 62 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 25 September 2022.
All research outputs
#16,234,211
of 24,692,658 outputs
Outputs from BMC Research Notes
#2,277
of 4,448 outputs
Outputs of similar age
#152,722
of 271,387 outputs
Outputs of similar age from BMC Research Notes
#37
of 77 outputs
Altmetric has tracked 24,692,658 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,448 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 45th percentile – i.e., 45% 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 271,387 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.