Literature DB >> 26412963

Predictors of Exceptional Longevity: Effects of Early-Life and Midlife Conditions, and Familial Longevity.

Leonid A Gavrilov1, Natalia S Gavrilova1.   

Abstract

Knowledge of strong predictors of mortality and longevity is very important for actuarial science and practice. Earlier studies found that parental characteristics as well as early-life conditions and midlife environment play a significant role in survival to advanced ages. However, little is known about the simultaneous effects of these three factors on longevity. This ongoing study attempts to fill this gap by comparing centenarians born in the United States in 1890-1891 with peers born in the same years who died at age 65. The records for centenarians and controls were taken from computerized family histories, which were then linked to 1900 and 1930 U.S. censuses. As a result of this linkage procedure, 765 records of confirmed centenarians and 783 records of controls were obtained. Analysis with multivariate logistic regression found the existence of both general and gender-specific predictors of human longevity. General predictors common for men and women are paternal and maternal longevity. Gender-specific predictors of male longevity are occupation as a farmer at age 40, Northeastern region of birth in the United States, and birth in the second half of year. A gender-specific predictor of female longevity is the availability of radio in the household according to the 1930 U.S. census. Given the importance of familial longevity as an independent predictor of survival to advanced ages, we conducted a comparative study of biological and nonbiological relatives of centenarians using a larger sample of 1,945 validated U.S. centenarians born in 1880-1895. We found that male gender of centenarian has a significant positive effect on survival of adult male relatives (brothers and fathers) but not female blood relatives. Life span of centenarian siblings-in-law is lower compared to life span of centenarian siblings and does not depend on centenarian gender. Wives of male centenarians (who share lifestyle and living conditions) have a significantly better survival compared to wives of centenarians' brothers. This finding demonstrates an important role of shared familial environment and lifestyle in human longevity. The results of this study suggest that familial background, some early-life conditions and midlife characteristics play an important role in longevity.

Entities:  

Year:  2015        PMID: 26412963      PMCID: PMC4580260          DOI: 10.1080/10920277.2015.1018390

Source DB:  PubMed          Journal:  N Am Actuar J        ISSN: 1092-0277


  40 in total

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Authors:  T Bengtsson; M Lindstrom
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2.  Early-life programming of aging and longevity: the idea of high initial damage load (the HIDL hypothesis).

Authors:  Leonid A Gavrilov; Natalia S Gavrilova
Journal:  Ann N Y Acad Sci       Date:  2004-06       Impact factor: 5.691

3.  Childhood conditions that predict survival to advanced ages among African-Americans.

Authors:  S H Preston; M E Hill; G L Drevenstedt
Journal:  Soc Sci Med       Date:  1998-11       Impact factor: 4.634

4.  Evolution, mutations, and human longevity: European royal and noble families.

Authors:  N S Gavrilova; L A Gavrilov; G N Evdokushkina; V G Semyonova; A L Gavrilova; N N Evdokushkina; Y E Kushnareva; V N Kroutko
Journal:  Hum Biol       Date:  1998-08       Impact factor: 0.553

5.  Personality traits and states as predictors of subjective well-being in centenarians, octogenarians, and sexagenarians.

Authors:  G Adkins; P Martin; L W Poon
Journal:  Psychol Aging       Date:  1996-09

Review 6.  Intergenerational transmission of relative fertility and life course patterns.

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Journal:  Demography       Date:  1987-11

7.  Comparison of National Death Index and World Wide Web death searches.

Authors:  H D Sesso; R S Paffenbarger; I M Lee
Journal:  Am J Epidemiol       Date:  2000-07-15       Impact factor: 4.897

8.  Depression among centenarians and the oldest old: contributions of cognition and personality.

Authors:  Jennifer Margrett; Peter Martin; John L Woodard; L Stephen Miller; Maurice MacDonald; Joan Baenziger; Ilene C Siegler; Adam Davey; Leonard Poon; S M Jazwinski; R C Green; M Gearing; W R Markesbery; M A Johnson; J S Tenover; W L Rodgers; D B Hausman; C Rott; J Arnold
Journal:  Gerontology       Date:  2010-01-26       Impact factor: 5.140

9.  Lifespan depends on month of birth.

Authors:  G Doblhammer; J W Vaupel
Journal:  Proc Natl Acad Sci U S A       Date:  2001-02-20       Impact factor: 11.205

10.  Verification of the ages of supercentenarians in the United States: results of a matching study.

Authors:  Ira Rosenwaike; Leslie F Stone
Journal:  Demography       Date:  2003-11
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  6 in total

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Authors:  Michiyo Tomioka; Kathryn Braun; Mieko Homma; Hiroaki Nobuhara; Tomio Kubota; Hiromichi Sakai
Journal:  Hawaii J Med Public Health       Date:  2017-03

2.  Manual and Automated Procedures for Compiling a Very Large Sample of Centenarian Pedigrees.

Authors:  Giacomo Nebbia; Lisa Nussbaum; Annie Helmkamp; Stacy Andersen; Thomas Perls; Paola Sebastiani
Journal:  N Am Actuar J       Date:  2018-09-27

3.  Protective Effects of Familial Longevity Decrease With Age and Become Negligible for Centenarians.

Authors:  Natalia S Gavrilova; Leonid A Gavrilov
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2022-04-01       Impact factor: 6.053

4.  Longevity Relatives Count score identifies heritable longevity carriers and suggests case improvement in genetic studies.

Authors:  Niels van den Berg; Mar Rodríguez-Girondo; Kees Mandemakers; Angelique A P O Janssens; Marian Beekman; P Eline Slagboom
Journal:  Aging Cell       Date:  2020-04-30       Impact factor: 9.304

5.  Longevity defined as top 10% survivors and beyond is transmitted as a quantitative genetic trait.

Authors:  Niels van den Berg; Mar Rodríguez-Girondo; Ingrid K van Dijk; Rick J Mourits; Kees Mandemakers; Angelique A P O Janssens; Marian Beekman; Ken R Smith; P Eline Slagboom
Journal:  Nat Commun       Date:  2019-01-07       Impact factor: 14.919

6.  Improved selection of participants in genetic longevity studies: family scores revisited.

Authors:  Mar Rodríguez-Girondo; Niels van den Berg; Michel H Hof; Marian Beekman; Eline Slagboom
Journal:  BMC Med Res Methodol       Date:  2021-01-06       Impact factor: 4.615

  6 in total

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