Literature DB >> 11470132

How individual age-associated changes may influence human morbidity and mortality patterns.

S V Ukraintseva1, A I Yashin.   

Abstract

Patterns of human mortality share common traits in different populations. They include higher mortality in early childhood, lower mortality during the reproductive period, an accelerated increase of mortality near the end of the reproductive period, and deceleration in the mortality increase at oldest old ages. The deceleration of mortality rate is one of the most intriguing recent findings in longevity research. The role of differential selection in this phenomenon has been well studied. Possible contribution of individual aging in the shape of mortality curve is also recognized. However, this contribution has not been studied in details. In this paper, we specify most common patterns of age-associated changes in an individual organism and discuss their possible influence on morbidity and mortality in population. We subdivide individual age-associated changes into three components, having different influence on morbidity and mortality: (1) basal, (2) ontogenetic, and (3) time-dependent. Basal changes are connected with the universal decrease in the rate of living during an individual life. As a result, some phenotypic effects of aging may accumulate in an organism at a slower rate with age. Basal changes are likely to contribute to a plateau of morbidity often observed at old ages, and may partially be responsible for mortality deceleration at oldest old ages. Ontogenetic component is connected with change of the stages of ontogenesis (e.g., the growth, the reproductive period and the climacteric) during an individual life. The ontogenesis-related changes contribute to wave-like patterns of morbidity in population and may partially be responsible for mortality increase at middle ages and its deceleration at old ages. Time-dependent changes are connected with long-time exposure of an organism to different harmful factors. They are most likely to contribute to morbidity and mortality acceleration. We discuss how all three components of individual age-associated changes may interact in human organism and influence patterns of morbidity and mortality in population.

Entities:  

Mesh:

Year:  2001        PMID: 11470132     DOI: 10.1016/s0047-6374(01)00277-9

Source DB:  PubMed          Journal:  Mech Ageing Dev        ISSN: 0047-6374            Impact factor:   5.432


  12 in total

1.  An age-period-cohort analysis of cancer incidence among the oldest old, Utah 1973-2002.

Authors:  Heidi A Hanson; Ken R Smith; Antoinette M Stroup; C Janna Harrell
Journal:  Popul Stud (Camb)       Date:  2014-11-14

2.  Age patterns of incidence of geriatric disease in the U.S. elderly population: Medicare-based analysis.

Authors:  Igor Akushevich; Julia Kravchenko; Svetlana Ukraintseva; Konstantin Arbeev; Anatoliy I Yashin
Journal:  J Am Geriatr Soc       Date:  2012-01-27       Impact factor: 5.562

3.  Accumulation of health disorders as a systemic measure of aging: Findings from the NLTCS data.

Authors:  Alexander Kulminski; Anatoli Yashin; Svetlana Ukraintseva; Igor Akushevich; Konstantin Arbeev; Kenneth Land; Kenneth Manton
Journal:  Mech Ageing Dev       Date:  2006-09-14       Impact factor: 5.432

4.  A model of aging as accumulated damage matches observed mortality patterns and predicts the life-extending effects of prospective interventions.

Authors:  Chris Phoenix; Aubrey D N J de Grey
Journal:  Age (Dordr)       Date:  2007-09-18

5.  Decline in biological resilience as key manifestation of aging: Potential mechanisms and role in health and longevity.

Authors:  Svetlana Ukraintseva; Konstantin Arbeev; Matt Duan; Igor Akushevich; Alexander Kulminski; Eric Stallard; Anatoliy Yashin
Journal:  Mech Ageing Dev       Date:  2020-12-16       Impact factor: 5.432

6.  Age trajectories of physiological indices in relation to healthy life course.

Authors:  Konstantin G Arbeev; Svetlana V Ukraintseva; Igor Akushevich; Alexander M Kulminski; Liubov S Arbeeva; Lucy Akushevich; Irina V Culminskaya; Anatoliy I Yashin
Journal:  Mech Ageing Dev       Date:  2011-01-22       Impact factor: 5.432

7.  Dynamic determinants of longevity and exceptional health.

Authors:  Anatoli I Yashin; Konstantin G Arbeev; Igor Akushevich; Liubov Arbeeva; Julia Kravchenko; Dora Il'yasova; Alexander Kulminski; Lucy Akushevich; Irina Culminskaya; Deqing Wu; Svetlana V Ukraintseva
Journal:  Curr Gerontol Geriatr Res       Date:  2010-09-30

8.  Cumulative deficits and physiological indices as predictors of mortality and long life.

Authors:  Alexander M Kulminski; Svetlana V Ukraintseva; Irina V Culminskaya; Konstantin G Arbeev; Kenneth C Land; Lucy Akushevich; Anatoli I Yashin
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2008-10       Impact factor: 6.053

9.  Cumulative index of health deficiencies as a characteristic of long life.

Authors:  Alexander M Kulminski; Svetlana V Ukraintseva; Igor V Akushevich; Konstantin G Arbeev; Anatoli I Yashin
Journal:  J Am Geriatr Soc       Date:  2007-06       Impact factor: 5.562

10.  Circulatory Diseases in the U.S. Elderly in the Linked National Long-Term Care Survey-Medicare Database: Population-Based Analysis of Incidence, Comorbidity, and Disability.

Authors:  Igor Akushevich; Julia Kravchenko; Svetlana Ukraintseva; Konstantin Arbeev; Anatoli I Yashin
Journal:  Res Aging       Date:  2012-06-11
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.