Literature DB >> 8157261

Efficacy of a composite biological age score to predict ten-year survival among Kansas and Nebraska Mennonites.

M Uttley1, M H Crawford.   

Abstract

In 1980 and 1981 Mennonite descendants of a group of Russian immigrants participated in a multidisciplinary study of biological aging. The Mennonites live in Goessel, Kansas, and Henderson, Nebraska. In 1991 the survival status of the participants was documented by each church secretary. Data are available for 1009 individuals, 177 of whom are now deceased. They ranged from 20 to 95 years in age when the data were collected. Biological ages were computed using a stepwise multiple regression procedure based on 38 variables previously identified as being related to survival, with chronological age as the dependent variable. Standardized residuals place participants in either a predicted-younger or a predicted-older group. The independence of the variables biological age and survival status is tested with the chi-square statistic. The significance of biological age differences between surviving and deceased Mennonites is determined by t test values. The two statistics provide consistent results. Predicted age group classification and survival status are related. The group of deceased participants is generally predicted to be older than the group of surviving participants, although neither statistic is significant for all subgroups of Mennonites. In most cases, however, individuals in the predicted-older groups are at a relatively higher risk of dying compared with those in the predicted-younger groups, although the increased risk is not always significant.

Entities:  

Keywords:  Adult; Age Factors; Americas; Biological Aging; Biology; Demographic Factors; Developed Countries; Differential Mortality; Kansas; Length Of Life; Methodological Studies; Mortality; Nebraska; North America; Northern America; Physiology; Population; Population Characteristics; Population Dynamics; Risk Factors; Survivorship; United States

Mesh:

Year:  1994        PMID: 8157261

Source DB:  PubMed          Journal:  Hum Biol        ISSN: 0018-7143            Impact factor:   0.553


  6 in total

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Authors:  David Karasik; Serkalem Demissie; L Adrienne Cupples; Douglas P Kiel
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2005-05       Impact factor: 6.053

2.  Genetic contribution to biological aging: the Framingham Study.

Authors:  David Karasik; Marian T Hannan; L Adrienne Cupples; David T Felson; Douglas P Kiel
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2004-03       Impact factor: 6.053

3.  Biological age as a useful index to predict seventeen-year survival and mortality in Koreans.

Authors:  Jinho Yoo; Yangseok Kim; Eo Rin Cho; Sun Ha Jee
Journal:  BMC Geriatr       Date:  2017-01-05       Impact factor: 3.921

4.  Biological age as a health index for mortality and major age-related disease incidence in Koreans: National Health Insurance Service - Health screening 11-year follow-up study.

Authors:  Young Gon Kang; Eunkyung Suh; Jae-Woo Lee; Dong Wook Kim; Kyung Hee Cho; Chul-Young Bae
Journal:  Clin Interv Aging       Date:  2018-03-20       Impact factor: 4.458

5.  Perceived facial age and biochemical indicators of glycemia in adult men and women.

Authors:  Agnieszka Żelaźniewicz; Judyta Nowak-Kornicka; Adriana Osochocka; Bogusław Pawłowski
Journal:  Sci Rep       Date:  2022-06-16       Impact factor: 4.996

6.  Heritability of a skeletal biomarker of biological aging.

Authors:  Ida Malkin; Leonid Kalichman; Eugene Kobyliansky
Journal:  Biogerontology       Date:  2007-06-23       Impact factor: 4.277

  6 in total

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