| Title |
A Cause-of-Death Decomposition of Young Adult Excess Mortality
|
|---|---|
| Published in |
Demography, June 2018
|
| DOI | 10.1007/s13524-018-0680-9 |
| Pubmed ID | |
| Authors |
Adrien Remund, Carlo G. Camarda, Tim Riffe |
| Abstract |
We propose a method to decompose the young adult mortality hump by cause of death. This method is based on a flexible shape decomposition of mortality rates that separates cause-of-death contributions to the hump from senescent mortality. We apply the method to U.S. males and females from 1959 to 2015. Results show divergence between time trends of hump and observed deaths, both for all-cause and cause-specific mortality. The study of the hump shape reveals age, period, and cohort effects, suggesting that it is formed by a complex combination of different forces of biological and socioeconomic nature. Male and female humps share some traits in all-cause shape and trend, but they also differ by their overall magnitude and cause-specific contributions. Notably, among males, the contributions of traffic and other accidents were progressively replaced by those of suicides, homicides, and poisonings; among females, traffic accidents remained the major contributor to the hump. |
X Demographics
The data shown below were collected from the profiles of 28 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 18% |
| Brazil | 3 | 11% |
| United Kingdom | 3 | 11% |
| Spain | 2 | 7% |
| Germany | 1 | 4% |
| France | 1 | 4% |
| Austria | 1 | 4% |
| India | 1 | 4% |
| Mexico | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 9 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 68% |
| Scientists | 9 | 32% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 56 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 14% |
| Student > Ph. D. Student | 6 | 11% |
| Student > Master | 5 | 9% |
| Student > Bachelor | 4 | 7% |
| Other | 3 | 5% |
| Other | 9 | 16% |
| Unknown | 21 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 9 | 16% |
| Medicine and Dentistry | 8 | 14% |
| Psychology | 4 | 7% |
| Mathematics | 3 | 5% |
| Economics, Econometrics and Finance | 2 | 4% |
| Other | 6 | 11% |
| Unknown | 24 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 57. 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 05 September 2023.
All research outputs
#749,819
of 25,416,581 outputs
Outputs from Demography
#209
of 1,994 outputs
Outputs of similar age
#16,440
of 342,893 outputs
Outputs of similar age from Demography
#5
of 29 outputs
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We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.