| Title |
Age-specific cancer mortality trends in 16 countries
|
|---|---|
| Published in |
International Journal of Public Health, July 2016
|
| DOI | 10.1007/s00038-016-0858-0 |
| Pubmed ID | |
| Authors |
Lee Liu, Kristen Liu |
| Abstract |
This study explored previously little-known cancer mortality trends with a focus on changes with age and sex differences in 16 countries. Time series age-sex-specific cancer mortality, deaths from all causes, and population data were used for statistical description. The cancer mortality rate (CMR) peaked and declined with age in 11 countries. CMRs appeared to peak earlier and decline more dramatically in earlier time periods rather than later periods and for males rather than females. CMR peaking could have possibly been historically delayed. Moreover, "percentage of deaths from cancer" (PDC) in all 16 countries plunged after about age 60. Middle-aged women may have higher CMRs than men. Premenopausal women may have higher PDCs than postmenopausal women. The findings make significant contributions to the literature, though their interpretation and application have limitations due to data quality and availability. Future research should explore if and how the findings apply to other countries and time periods. Public health practitioners and policy makers should consider age-sex-specific strategies for more effective cancer control. |
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 % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 20% |
| Researcher | 1 | 10% |
| Student > Postgraduate | 1 | 10% |
| Student > Master | 1 | 10% |
| Unknown | 5 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 2 | 20% |
| Medicine and Dentistry | 2 | 20% |
| Agricultural and Biological Sciences | 1 | 10% |
| Unknown | 5 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 18 July 2016.
All research outputs
#4,523,299
of 25,373,627 outputs
Outputs from International Journal of Public Health
#522
of 1,900 outputs
Outputs of similar age
#74,923
of 371,039 outputs
Outputs of similar age from International Journal of Public Health
#14
of 28 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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