The effects of social status on biological aging as measured by white‐blood‐cell telomere length

Low socio‐economic status (SES) is associated with a shortened life expectancy, but its effect on aging is unknown. The rate of white‐blood‐cell (WBC) telomere attrition may be a biological indicator of human aging. We tested the hypothesis that SES is associated with telomere attrition independent of known risk factors influencing the aging process. We studied 1552 female twins. A venous blood sample was taken from each twin and isolated WBCs used for extraction of DNA. Terminal restriction fragment length (TRFL) was measured. Questionnaire data were collected on occupation, education, income, smoking, exercise, height and weight. Standard multiple linear regression and multivariate analyses of variance tested for associations between SES and TRFL, adjusting for covariates. A discordant twin analysis was conducted on a subset to verify findings. WBC telomere length was highly variable but significantly shorter in lower SES groups. The mean difference in TRFL between nonmanual and manual SES groups was 163.2 base pairs (bp) of which 22.9 bp (∼14%) was accounted for by body mass index, smoking and exercise. Comparison of TRFL in the 17 most discordant SES twin pairs confirmed this difference. Low SES, in addition to the harmful effects of smoking, obesity and lack of exercise, appears to have an impact on telomere length.

[1]  T. Spector,et al.  Mapping genetic loci that determine leukocyte telomere length in a large sample of unselected female sibling pairs. , 2006, American journal of human genetics.

[2]  J. Vaupel,et al.  No Association Between Telomere Length and Survival Among the Elderly and Oldest Old , 2006, Epidemiology.

[3]  R. Westendorp,et al.  Telomere length in white blood cells is not associated with morbidity or mortality in the oldest old: a population‐based study , 2005, Aging cell.

[4]  A. Aviv,et al.  Rise in Insulin Resistance Is Associated With Escalated Telomere Attrition , 2005, Circulation.

[5]  R. Sapolsky.  The Influence of Social Hierarchy on Primate Health , 2005, Science.

[6]  Michael Marmot,et al.  Social determinants of health inequalities , 2005, The Lancet.

[7]  T. Spector,et al.  The effect of moderate alcohol consumption on bone mineral density: a study of female twins , 2004, Annals of the rheumatic diseases.

[8]  A. Aviv.  Telomeres and human aging: facts and fibs. , 2004, Science of aging knowledge environment : SAGE KE.

[9]  E. Epel,et al.  Accelerated telomere shortening in response to life stress. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[10]  Eileen M. Crimmins,et al.  Inflammatory Exposure and Historical Changes in Human Life-Spans , 2004, Science.

[11]  Jean Adams,et al.  Biological ageing: a fundamental, biological link between socio-economic status and health? , 2004, European journal of public health.

[12]  R. D. Vogli,et al.  Status Syndrome: How Your Social Standing Directly Affects Your Health and Life Expectancy. , 2004 .

[13]  Michael Marmot,et al.  Health inequalities and the psychosocial environment-two scientific challenges. , 2004, Social science & medicine.

[14]  T. Matsuo,et al.  Telomere Shortening in Human Coronary Artery Diseases , 2004, Arteriosclerosis, thrombosis, and vascular biology.

[15]  J. Staessen,et al.  Telomere length and possible link to X chromosome , 2004, The Lancet.

[16]  H. Kasai,et al.  Depressive state relates to female oxidative DNA damage via neutrophil activation. , 2003, Biochemical and biophysical research communications.

[17]  K. Collins,et al.  Telomere maintenance and disease , 2003, The Lancet.

[18]  J. Cummings,et al.  Telomere shortening in T cells correlates with Alzheimer’s disease status , 2003, Neurobiology of Aging.

[19]  R. Cawthon,et al.  Association between telomere length in blood and mortality in people aged 60 years or older , 2003, The Lancet.

[20]  M Marmot,et al.  Job strain, job demands, decision latitude, and risk of coronary heart disease within the Whitehall II study , 2003, Journal of epidemiology and community health.

[21]  David R Williams,et al.  Optimal indicators of socioeconomic status for health research. , 2002, American journal of public health.

[22]  H. Kasai,et al.  Relationships between perceived workload, stress and oxidative DNA damage , 2001, International archives of occupational and environmental health.

[23]  J. Skurnick,et al.  Telomere Length as an Indicator of Biological Aging: The Gender Effect and Relation With Pulse Pressure and Pulse Wave Velocity , 2001, Hypertension.

[24]  M de Lange,et al.  Are Twins and Singletons Comparable? A Study of Disease-related and Lifestyle Characteristics in Adult Women , 2001, Twin Research.

[25]  Steven N. Austad,et al.  Why do we age? , 2000, Nature.

[26]  N. Holbrook,et al.  Oxidants, oxidative stress and the biology of ageing , 2000, Nature.

[27]  J. Skurnick,et al.  Telomere length inversely correlates with pulse pressure and is highly familial. , 2000, Hypertension.

[28]  R Derom,et al.  Validation of a Telephone Zygosity Questionnaire in Twins of Known Zygosity , 1998, Behavior genetics.

[29]  T. Spector,et al.  The effect of weight‐bearing exercise on bone mineral density: A study of female ex‐elite athletes and the general population , 1996, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[30]  John H. Goldthorpe,et al.  The Social Grading of Occupations. A New Approach and Scale. , 1974 .

[31]  T. Gross,et al.  For Personal Use. Only Reproduce with Permission from Elsevier Ltd Public Health Inequalities in Health between and within Countries: Poverty and Inequality Social Determinants of Health Inequalities , 2022 .