Pesquisa de referências

Patterns of aging related changes on the way to 100 : an approach to studying aging, mortality and longevity from longitudinal data

<?xml version="1.0" encoding="UTF-8"?><modsCollection xmlns="" xmlns:xsi="" xsi:schemaLocation="">
<mods version="3.8">
<title>Patterns of aging related changes on the way to 100</title>
<subTitle>: an approach to studying aging, mortality and longevity from longitudinal data</subTitle>
<genre authority="marcgt">periodical</genre>
<placeTerm type="code" authority="marccountry">esp</placeTerm>
<dateIssued encoding="marc">2012</dateIssued>
<languageTerm type="code" authority="iso639-2b">spa</languageTerm>
<form authority="marcform">print</form>
<abstract displayLabel="Summary">The objective of this paper is to investigate dynamic properties of age trajectories of physiological indices and their effects on mortality risk and longevity using longitudinal data on more than5,000 individuals collected in biennial examinations of the Framingham Heart Study (FHS) original cohort during about 50 subsequent years of follow-up. We first performed empirical analyses of the FHS longitudinal data. We evaluated average age trajectories of indices describing physiological states for different groups of individuals and established their connections with mortality risk. These indices include body mass index, diastolic blood pressure, pulse pressure, pulse rate, level of blood glucose, hematocrit, and serum cholesterol. To be able to investigate dynamic mechanisms responsible for changes in the aging human organisms using available longitudinal data, we further developed a stochastic process model of human mortality and aging, by including in it the notions of physiological norms, allostatic adaptation and allostatic load, stress resistance, and other characteristics associat ed with the internal process of aging and the effects of external disturbances. In this model, the persistent deviation of physiological indices from their normal values contributes to an increase in morbidity and mortality risks. We used the stochastic process model in the statistical analyses of longitudinal FHS data. We found that different indices have different average age patterns and different dynamic properties. We also found that age trajectories of long-lived individuals differ from those of the shorter-lived members of the FHS original cohort for both sexes. Using methods of statistical modeling, we evaluated normal age trajectories of physiological indices and the dynamic effects of allostatic adaptation. The model allows for evaluating average patterns of aging-related decline in stress resistance. This effect is captured by the narrowing of the U-shaped mortality risk (considered a function of physiological state) with age. We showed that individual indices and their rates of change with age, as well as other measures of individual variability, manifested during the life course are important contrib-utors to mortality risks. The advantages and limitations of the approach are discussed.</abstract>
<note type="statement of responsibility">Anatoliy I. Yashin...[]</note>
<classification authority="">1</classification>
<url displayLabel="MÁS INFORMACIÓN" usage="primary display"></url>
<relatedItem type="host">
<title>North American actuarial journal</title>
<publisher>Schaumburg : Society of Actuaries, 1997-</publisher>
<identifier type="issn">1092-0277</identifier>
<identifier type="local">MAP20077000239</identifier>
<text>03/12/2012 Tomo 16 Número 4  - 2012 </text>
<recordContentSource authority="marcorg">MAP</recordContentSource>
<recordCreationDate encoding="marc">130401</recordCreationDate>
<recordChangeDate encoding="iso8601">20130401175655.0</recordChangeDate>
<recordIdentifier source="MAP">MAP20130010861</recordIdentifier>
<languageTerm type="code" authority="iso639-2b">spa</languageTerm>