Literature DB >> 9933730

Do all systems age together?

A Aihie Sayer1, C Osmond, R Briggs, C Cooper.   

Abstract

BACKGROUND: Aging changes in different body system are well described, but few studies have considered the relationship between them.
OBJECTIVE: The purpose of this study was, therefore, to investigate the interrelationships between markers of aging in different parts of the body.
METHODS: A cross-sectional study design was used. Structural and functional markers of aging were measured in a number of different body systems.
RESULTS: Conditional independence analysis demonstrated that the aging markers selected clustered into two groups, either related to chronological age or adult height. Visual acuity, lens opacity, hearing threshold, cognitive decline, and the number of teeth were associated with age, while systolic blood pressure and skin thickness were related to height. Grip strength was associated with both.
CONCLUSIONS: The differential associations of the aging markers with chronological age and adult height suggest that different systems do not age together. This may have relevance for understanding what underlies aging, and these preliminary findings now require replication in other aging cohorts.

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Year:  1999        PMID: 9933730     DOI: 10.1159/000022068

Source DB:  PubMed          Journal:  Gerontology        ISSN: 0304-324X            Impact factor:   5.140


  9 in total

1.  Select aging biomarkers based on telomere length and chronological age to build a biological age equation.

Authors:  Wei-Guang Zhang; Shu-Ying Zhu; Xiao-Juan Bai; De-Long Zhao; Shi-Min Jian; Juan Li; Zuo-Xiang Li; Bo Fu; Guang-Yan Cai; Xue-Feng Sun; Xiang-Mei Chen
Journal:  Age (Dordr)       Date:  2014-06

Review 2.  Frailty and sarcopenia: definitions and outcome parameters.

Authors:  C Cooper; W Dere; W Evans; J A Kanis; R Rizzoli; A A Sayer; C C Sieber; J-M Kaufman; G Abellan van Kan; S Boonen; J Adachi; B Mitlak; Y Tsouderos; Y Rolland; J-Y L Reginster
Journal:  Osteoporos Int       Date:  2012-07       Impact factor: 4.507

3.  Associations between grip strength of parents and their 4-year-old children: findings from the Southampton Women's Survey.

Authors:  Hazel Inskip; Corrie Macdonald-Wallis; Tasneem Kapasi; Siân Robinson; Keith Godfrey; Cyrus Cooper; Nicholas Harvey; Avan Aihie Sayer
Journal:  Paediatr Perinat Epidemiol       Date:  2011-11-08       Impact factor: 3.980

4.  Construction of an integral formula of biological age for a healthy Chinese population using principle component analysis.

Authors:  W-G Zhang; X-J Bai; X-F Sun; G-Y Cai; X-Y Bai; S-Y Zhu; M Zhang; X-M Chen
Journal:  J Nutr Health Aging       Date:  2014       Impact factor: 4.075

5.  Cohort profile: The Hertfordshire Ageing Study (HAS).

Authors:  H E Syddall; S J Simmonds; H J Martin; Clare Watson; E M Dennison; C Cooper; A Aihie Sayer
Journal:  Int J Epidemiol       Date:  2009-01-08       Impact factor: 7.196

6.  Measurement of biological age may help to assess the risk of colorectal adenoma in screening colonoscopy.

Authors:  Sang-Jung Kim; Beom Jin Kim; Hyun Kang
Journal:  World J Gastroenterol       Date:  2017-10-07       Impact factor: 5.742

Review 7.  Observational Evidence of the Association Between Handgrip Strength, Hand Dexterity, and Cognitive Performance in Community-Dwelling Older Adults: A Systematic Review.

Authors:  Kimi Estela Kobayashi-Cuya; Ryota Sakurai; Hiroyuki Suzuki; Susumu Ogawa; Toru Takebayashi; Yoshinori Fujiwara
Journal:  J Epidemiol       Date:  2018-03-10       Impact factor: 3.211

8.  Human age-declined saliva metabolic markers determined by LC-MS.

Authors:  Takayuki Teruya; Haruhisa Goga; Mitsuhiro Yanagida
Journal:  Sci Rep       Date:  2021-09-13       Impact factor: 4.379

9.  Size at birth and its relation to muscle strength in young adult women.

Authors:  H M Inskip; K M Godfrey; H J Martin; S J Simmonds; C Cooper; A Aihie Sayer
Journal:  J Intern Med       Date:  2007-09       Impact factor: 8.989

  9 in total

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