2
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Life expectancy: what does it measure?

      research-article
      1 , , 2 , 1
      BMJ Open
      BMJ Publishing Group
      epidemiology, public health, statistics & research methods

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Life expectancy (LE) is considered a straightforward summary measure of mortality that comes with an implicit age standardisation. Thus, it has become common to present differences in mortality across populations as differences in LE, instead of, say, relative risks. However, most of the time LE does not quite provide what the term promises. LE is based on a synthetic cohort and is therefore not the true LE of anyone. Also, the implicit age standardisation is construed in such a way that it can be questioned whether it standardises age at all. In this paper, we examine LE from the point of view of its applicability to epidemiological and public health research and provide examples on the relation between an LE difference and a relative risk. We argue that the age standardisation in estimations of LE is not straightforward since it is standardised against different age distributions and that the translation of changes in age specific mortality into change in remaining LE will depend on the level and the distribution of mortality in the population. We conclude that LE is not the measure of choice in aetiological research or in research with the aim to identify risk factors of death, but that LE may be a compelling choice in public health contexts. One cannot escape the thought that the mathematical elegance of LE has contributed to its popularity.

          Related collections

          Most cited references4

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Total mortality after changes in leisure time physical activity in 50 year old men: 35 year follow-up of population based cohort

          Objective To examine how change in level of physical activity after middle age influences mortality and to compare it with the effect of smoking cessation. Design Population based cohort study with follow-up over 35 years. Setting Municipality of Uppsala, Sweden. Participants 2205 men aged 50 in 1970-3 who were re-examined at ages 60, 70, 77, and 82 years. Main outcome measure Total (all cause) mortality. Results The absolute mortality rate was 27.1, 23.6, and 18.4 per 1000 person years in the groups with low, medium, and high physical activity, respectively. The relative rate reduction attributable to high physical activity was 32% for low and 22% for medium physical activity. Men who increased their physical activity level between the ages of 50 and 60 continued to have a higher mortality rate during the first five years of follow-up (adjusted hazard ratio 2.64, 95% confidence interval 1.32 to 5.27, compared with unchanged high physical activity). After 10 years of follow-up their increased physical activity was associated with reduced mortality to the level of men with unchanged high physical activity (1.10, 0.87 to 1.38). The reduction in mortality associated with increased physical activity (0.51, 0.26 to 0.97, compared with unchanged low physical activity) was similar to that associated with smoking cessation (0.64, 0.53 to 0.78, compared with continued smoking). Conclusions Increased physical activity in middle age is eventually followed by a reduction in mortality to the same level as seen among men with constantly high physical activity. This reduction is comparable with that associated with smoking cessation.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            How change in age-specific mortality affects life expectancy.

            J Vaupel (1986)
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              What difference would it make if cancer were eradicated? An examination of the Taeuber paradox.

              N Keyfitz (1977)
              The immediate effect of discovering a way to cure cancer would be a reduction in the number of deaths in the United States by the number of people now dying from that cause. Within a short time, however, deaths from other causes would increase, and the net long-term effect would be relatively small. A parameter is derived that measures how much the expectation of life is increased by a marginal reduction in any cause of death. That parameter is additive in the several causes and has other advantages, though it does not avoid the assumption of independence.
                Bookmark

                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2020
                22 July 2020
                : 10
                : 7
                : e035932
                Affiliations
                [1 ]departmentInstitute of Environmental Medicine, Unit of Epidemiology , Karolinska Institutet , Stockholm, Sweden
                [2 ]Max Planck Institute for Demographic Research , Rostock, Germany
                Author notes
                [Correspondence to ] Dr Karin Modig; karin.modig@ 123456ki.se
                Author information
                http://orcid.org/0000-0002-5151-4867
                Article
                bmjopen-2019-035932
                10.1136/bmjopen-2019-035932
                7380844
                32699164
                127fd749-208c-4a1f-9e58-64136f27a3e6
                © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See:  http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 22 November 2019
                : 14 May 2020
                : 08 June 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100006636, Forskningsrådet om Hälsa, Arbetsliv och Välfärd;
                Award ID: 2016-00863
                Categories
                Epidemiology
                1506
                Communication
                Custom metadata
                unlocked

                Medicine
                epidemiology,public health,statistics & research methods
                Medicine
                epidemiology, public health, statistics & research methods

                Comments

                Comment on this article