Literature DB >> 20021413

Mortality according to a prior assessment of biological age.

Christopher J Bulpitt1, Riitta L Antikainen, Hugh L J Markowe, Martin J Shipley.   

Abstract

BACKGROUND: Measures of biological age have not been proven to predict mortality. This study examines whether measuring biological age improves the prediction of mortality.
METHODS: Prospective study from 1981 to 2001 of 397 male London Civil Servants. Two indices of biological ageing were calculated.
RESULTS: 60 men died and both indices of biological ageing were related to survival. In a model that mutually adjusted for both chronological and biological age, biological age using index one was statistically significant with a hazard ratio (HR) of 1.11 per year of age (95% confidence interval 1.01 - 1.21, P=0.03). The useful components of the measures of biological ageing were systolic blood pressure (HR 1.31 for 1SD), albumin, and, to a lesser degree, Erythrocyte Sedimentation Rate (ESR). Greying of the hair, skin inelasticity, arcus senilis, and baldness were not predictors of mortality as measured by our methods. Similarly serum cholesterol, creatinine, calcium and urate could be excluded. A modified index was developed including systolic pressure, ESR, urea, albumin, and bilirubin and had a sensitivity of 78% and specificity of 51% in predicting subjects who died.
CONCLUSION: This study represents 'proof of principle' in demonstrating the utility and validity of measuring biological age. The modified index needs to be tested prospectively.

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Year:  2009        PMID: 20021413     DOI: 10.2174/1874609810902030193

Source DB:  PubMed          Journal:  Curr Aging Sci        ISSN: 1874-6098


  6 in total

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4.  Immune function parameters as markers of biological age and predictors of longevity.

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5.  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.

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6.  Two-dimensional system based on organic and functional impairment with aging for precisely assessing risk factors in chronic disease.

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  6 in total

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