Literature DB >> 15369043

Biological ageing: a fundamental, biological link between socio-economic status and health?

Jean M Adams1, Martin White.   

Abstract

Socio-economic differences in health appear to be universal but the precise pathways that link socio-economic status and health remain unclear. Differential exposure to specific risk and protective factors are often cited as, at least, partial explanations of socio-economic differences in health. However, risk factors are culturally specific and risk factor-specific models of socio-economic differences in health may be inadequate: as soon as prevailing risk factors change, so too must associated explanations of socio-economic differences in health. An alternative, risk factor-independent, model of socio-economic differences in health proposes that fundamental pathways to health and disease exist and that risk and protective factors act by feeding into these pathways. We propose that biological ageing is one such fundamental pathway to health, disease and, thus, socio-economic differences in health. Biological ageing is the progressive decline in physiological ability to meet demands, that occurs over time. It is due to the accumulation of damage at the cellular level and the rate of biological ageing is determined by both environmental and genetic factors. There is increasing evidence that many known disease risk and protective factors influence the rate of cellular damage accumulation and hence biological ageing and that the pathogenesis of some important diseases is related to biological ageing. We discuss these issues and hypothesize that socio-economic differences in health are partly a result of poor people ageing faster than rich people due to the unhealthy environments to which they are exposed.

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Year:  2004        PMID: 15369043     DOI: 10.1093/eurpub/14.3.331

Source DB:  PubMed          Journal:  Eur J Public Health        ISSN: 1101-1262            Impact factor:   3.367


  25 in total

1.  Aging genetics and aging.

Authors:  Sandra Rodríguez-Rodero; Juan Luis Fernández-Morera; Edelmiro Menéndez-Torre; Vincenzo Calvanese; Agustín F Fernández; Mario F Fraga
Journal:  Aging Dis       Date:  2011-04-28       Impact factor: 6.745

2.  Early hits and long-term consequences: tracking the lasting impact of prenatal smoke exposure on telomere length in children.

Authors:  Katherine P Theall; Sarah McKasson; Emily Mabile; Lauren F Dunaway; Stacy S Drury
Journal:  Am J Public Health       Date:  2013-08-08       Impact factor: 9.308

3.  Neighborhood disorder and telomeres: connecting children's exposure to community level stress and cellular response.

Authors:  Katherine P Theall; Zoë H Brett; Elizabeth A Shirtcliff; Erin C Dunn; Stacy S Drury
Journal:  Soc Sci Med       Date:  2013-02-27       Impact factor: 4.634

4.  Life course social mobility and risk of upper aerodigestive tract cancer in men.

Authors:  N Schmeisser; D I Conway; P A McKinney; A D McMahon; H Pohlabeln; M Marron; S Benhamou; C Bouchardy; G J Macfarlane; T V Macfarlane; P Lagiou; A Lagiou; V Bencko; I Holcátová; F Merletti; L Richiardi; K Kjaerheim; A Agudo; R Talamini; J Polesel; C Canova; L Simonato; R Lowry; A Znaor; C Healy; B E McCarten; M Hashibe; P Brennan; W Ahrens
Journal:  Eur J Epidemiol       Date:  2010-02-09       Impact factor: 8.082

5.  Socioeconomic factors and leukocyte telomere length in a multi-ethnic sample: findings from the multi-ethnic study of atherosclerosis (MESA).

Authors:  Judith E Carroll; Ana V Diez-Roux; Nancy E Adler; Teresa E Seeman
Journal:  Brain Behav Immun       Date:  2012-11-09       Impact factor: 7.217

6.  The role of epigenetic aging in education and racial/ethnic mortality disparities among older U.S. Women.

Authors:  Zuyun Liu; Brian H Chen; Themistocles L Assimes; Luigi Ferrucci; Steve Horvath; Morgan E Levine
Journal:  Psychoneuroendocrinology       Date:  2019-02-06       Impact factor: 4.905

7.  Overweight, family history of diabetes and attending schools of lower academic grading are independent predictors for metabolic syndrome in Hong Kong Chinese adolescents.

Authors:  Risa Ozaki; Qing Qiao; Gary W K Wong; Michael H M Chan; Wing-Yee So; Peter C Y Tong; C S Ho; Gary Tin-Choi Ko; Alice P S Kong; Christopher W K Lam; Jaakko Tuomilehto; Juliana C N Chan
Journal:  Arch Dis Child       Date:  2006-11-06       Impact factor: 3.791

8.  Telomere length, pre-eclampsia, and gestational diabetes.

Authors:  Emily W Harville; Michelle A Williams; Chun-Fang Qiu; Julie Mejia; Rosa Ana Risques
Journal:  BMC Res Notes       Date:  2010-04-23

9.  The associations between living conditions, demography, and the 'impact of cancer' scale in tumor-free cancer survivors: a NOCWO study.

Authors:  Sævar B Gudbergsson; Sophie D Fosså; Patricia A Ganz; Brad J Zebrack; Alv A Dahl
Journal:  Support Care Cancer       Date:  2007-04-21       Impact factor: 3.603

Review 10.  Is socioeconomic status associated with biological aging as measured by telomere length?

Authors:  Tony Robertson; G David Batty; Geoff Der; Candida Fenton; Paul G Shiels; Michaela Benzeval
Journal:  Epidemiol Rev       Date:  2012-12-20       Impact factor: 6.222

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