Literature DB >> 20426616

Demographic consequences of defeating aging.

Leonid A Gavrilov1, Natalia S Gavrilova.   

Abstract

A common objection against starting a large-scale biomedical war on aging is the fear of catastrophic population consequences (overpopulation). This fear is only exacerbated by the fact that no detailed demographic projections for radical life extension scenario have been conducted so far. This study explores different demographic scenarios and population projections, in order to clarify what could be the demographic consequences of a successful biomedical war on aging. A general conclusion of this study is that population changes are surprisingly slow in their response to a dramatic life extension. For example, we applied the cohort-component method of population projections to 2005 Swedish population for several scenarios of life extension and a fertility schedule observed in 2005. Even for very long 100-year projection horizon, with the most radical life extension scenario (assuming no aging at all after age 60), the total population increases by 22% only (from 9.1 to 11.0 million). Moreover, if some members of society reject to use new anti-aging technologies for some religious or any other reasons (inconvenience, non-compliance, fear of side effects, costs, etc.), then the total population size may even decrease over time. Thus, even in the case of the most radical life extension scenario, population growth could be relatively slow and may not necessarily lead to overpopulation. Therefore, the real concerns should be placed not on the threat of catastrophic population consequences (overpopulation), but rather on such potential obstacles to a success of biomedical war on aging, as scientific, organizational, and financial limitations.

Mesh:

Year:  2010        PMID: 20426616      PMCID: PMC3192186          DOI: 10.1089/rej.2009.0977

Source DB:  PubMed          Journal:  Rejuvenation Res        ISSN: 1549-1684            Impact factor:   4.663


  4 in total

1. 

Authors:  Natalia S Gavrilova; Leonid A Gavrilov
Journal:  Demografie       Date:  2011

2.  The demographic and biomedical case for late-life interventions in aging.

Authors:  Michael J Rae; Robert N Butler; Judith Campisi; Aubrey D N J de Grey; Caleb E Finch; Michael Gough; George M Martin; Jan Vijg; Kevin M Perrott; Barbara J Logan
Journal:  Sci Transl Med       Date:  2010-07-14       Impact factor: 17.956

3.  Factors affecting the survival probability of becoming a centenarian for those aged 70, based on the human mortality database: income, health expenditure, telephone, and sanitation.

Authors:  Jong In Kim; Gukbin Kim
Journal:  BMC Geriatr       Date:  2014-10-21       Impact factor: 3.921

4.  Social factors associated with centenarian rate (CR) in 32 OECD countries.

Authors:  Jong In Kim
Journal:  BMC Int Health Hum Rights       Date:  2013-03-08
  4 in total

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