Remember Me
Or use your Academic/Social account:


Or use your Academic/Social account:


You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.


Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message


Verify Password:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:
fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Vanderbloemen, L.; Dorling, D.; Minton, J. (2016)
Publisher: BMJ Publishing Group
Languages: English
Types: Article
Background Previous research showed that younger adult males in the USA have, since the 1950s, died at a faster rate than females of the same age. In this paper, we quantify this difference, and explore possible explanations for the differences at different ages and in different years.\ud \ud Methods Using data from the Human Mortality Database (HMD), the number of additional male deaths per 10 000 female deaths was calculated for each year from 1933 to 2010, and for each year of age from 0 to 60 years, for the USA, and a number of other countries for comparison. The data were explored visually using shaded contour plots.\ud \ud Results Gender differences in excess mortality have increased. Coming of age (between the ages of 15 and 25 years of age) is especially perilous for men relative to women now compared with the past in the USA; the visualisations highlight this change as important.\ud \ud Conclusions Sex differences in mortality risks at various ages are not static. While women may today have an advantage when it comes to life expectancy, in the USA, this has greatly increased since the 1930s. Just as young adulthood for women has been made safer through safer antenatal and childbirth practices, changes in public policy can make the social environment safer for men.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • Gjonça A, Tomassini C, Vaupel JW. Male-female differences in mortality in the developed world [Internet]. MPIDR Working Paper 1999-009. 1999 [cited 2015 Mar 24]. Available from: http://www.demogr.mpg.de/papers/working/wp-1999-009.pdf Szekely T, Liker A, Freckleton RP, Fichtel C, Kappeler PM. Sex-biased survival predicts adult sex ratio variation in wild birds. Proc R Soc B Biol Sci [Internet].
    • 2014;281(1788):20140342. Available from: http://rspb.royalsocietypublishing.org/cgi/doi/10.1098/rspb.2014.0342 J C, M M. The health of adult Britain 1841-1994. London England Office for National Statistics 1997.; 1997; Available from: http://www.popline.org/node/270048 Lopez AD, Collishaw NE, Piha T. A descriptive model of the cigarette epidemic in developed countries. Tob Control [Internet]. 1994 Sep;3(3):242-7. Available from: http://tobaccocontrol.bmj.com/content/3/3/242.citation.
    • Luy M, Wegner-Siegmundt C. The impact of smoking on gender differences in life expectancy: more heterogeneous than often stated. Eur J Public Health [Internet]. 2014 Dec 10 [cited 2015 Mar 24]; Available from: http://eurpub.oxfordjournals.org/content/early/2015/02/05/eurpub.cku211.abstract European Commission. 2014;1-3. Available from: papers2://publication/uuid/05826C3BCD3A-475E-856E-A1E1CEFCA888 Vaupel JW, Gambill BA, Yashin AI. Thousands of Data at a Glance: Shaded Contour Maps of Demographic Surfaces [Internet]. Laxenburg, Austria; 1987. Available from: http://user.demogr.mpg.de/jwv/pdf/Vaupel-IIASA-RR-87-016.pdf Lexis W. Einleitung in die Theorie der Bevölkerungsstatistik [Internet]. 1875. Available from: http://www.worldcat.org/title/einleitung-in-die-theorie-derbevolkerungsstatistik/oclc/27127671 Caselli G, Vallin J. From situation events in time to the Lexis Diagram and the Computing of rates. In: Caselli G, Vallin J, Wunsch G, editors. Demography: Analysis and Synthesis.
    • Boston, MA: Academic Press; 6AD.
    • Carstensen B. Age-period-cohort models for the Lexis diagram. Stat Med [Internet]. 2007 Jul 10;26(15):3018-45. Available from: http://www.ncbi.nlm.nih.gov/pubmed/17177166 Vaupel JW, Wang Z, Andreev K, Yashin AI. Population Data at a Glance: Shaded Contour Maps of Demographic Surfaces over Age and Time [Internet]. University Press of Southern Denmark; 1997. Available from: http://www.abebooks.co.uk/servlet/BookDetailsPL?bi=2944819605 Kermack W. Death-rates in Great Britain and Sweden. Some general regularities and their significance. Int J Epidemiol [Internet]. 2001 Aug;30(4):678-83. Available from: http://ije.oxfordjournals.org Smith GD. Commentary: William Ogilvy Kermack and the childhood origins of adult health and disease. Int J Epidemiol [Internet]. 2001 Aug;30(4):696-703. Available from: http://www.ije.oupjournals.org/cgi/doi/10.1093/ije/30.4.696 Sarkar D. Lattice: Multivariate Data Visualization with R. Springer, New York. 2008;(ISBN 978-0-387-75968-5).
    • 328 p. Available from: http://books.google.co.uk/books/about/Homicide.html?id=3p4br9FRAUgC&pgis=1
  • No related research data.
  • No similar publications.

Share - Bookmark

Cite this article