Longitudinal Gompertzian and Weibull analyses of adult mortality in Spain (Europe), 1900–1992

Prieto,; Llorca, Javier; Delgado-Rodrı́guez, Miguel

doi:10.1016/0047-6374(96)01751-4

Cited by 14 publications

(8 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This model provides a single and straightforwardly derived parameter to estimate the rate of biological aging ( B ). Some of the studies examining SM model have found that B is constant (Prieto et al 1996; Riggs 1993; Riggs and Myers 1994), but others suggest that B is not constant (Yashin et al 2000, 2001, 2002a; Zheng et al 2011). This study extends prior studies by investigating how and why B may change across cohorts.…”

Section: Discussionmentioning

confidence: 99%

Aging in the Context of Cohort Evolution and Mortality Selection

Zheng

2014

Demography

View full text Add to dashboard Cite

This study examines historical patterns of aging through the perspectives of cohort evolution and mortality selection, where the former emphasizes the correlation across cohorts in the age dependence of mortality rates, and the latter emphasizes cohort change in the acceleration of mortality over the life course. In the analysis of historical cohort mortality data, I find support for both perspectives. The rate of demographic aging, or the rate at which mortality accelerates past age 70, is not fixed across cohorts; rather, it is affected by the extent of mortality selection at young and late ages. This causes later cohorts to have higher rates of demographic aging than earlier cohorts. The rate of biological aging, approximating the rate of the senescence process, significantly declined between the mid- and late-nineteenth century birth cohorts and stabilized afterward. Unlike the rate of demographic aging, the rate of biological aging is not affected by mortality selection earlier in the life course but rather by cross-cohort changes in young-age mortality, which cause lower rates of biological aging in old age among later cohorts. These findings enrich theories of cohort evolution and have implications for the study of limits on the human lifespan and evolution of aging.

show abstract

Section: Discussionmentioning

confidence: 99%

Aging in the Context of Cohort Evolution and Mortality Selection

Zheng

2014

Demography

View full text Add to dashboard Cite

show abstract

“…This regularity implies that in spite of continuous improvements in the longevity for humans, the evolution of mortality curves should follow certain patterns (Yashin et al 2001a). A series of early studies (Riggs 1990; Riggs and Millecchia 1992; Prieto et al 1996) empirically confirmed the stably negative relationship between the Gompertz parameters in the earlier decades of the 20 th century. However, a break in relationship for recent data from industrialized countries, such as Sweden, Japan and France (Yashin et al 2001a, 2002), challenges the concept of aging and mortality that stems from the SM theory as well as the interpretation of coefficients of models that are based on the rate in mortality, e.g., the Gompertz model.…”

Section: Introductionmentioning

confidence: 88%

The Strehler–Mildvan correlation from the perspective of a two-process vitality model

Anderson

2015

Population Studies

View full text Add to dashboard Cite

The Strehler and Mildvan (SM) general theory of aging and mortality provided a mechanism based explanation for the Gompertz law and predicted a log-linear relationship between the two Gompertz coefficients, known as the SM correlation. While the SM correlation was validated in developed countries before the second half of the 20th century, the recent breakdown of the correlation pattern in these countries prompted demographers to conclude that the SM theory needs to be reassessed. In this work, we utilized a newly developed two-process vitality model to explain the SM correlation and its breakdown in terms of asynchronous trends in the acute (extrinsic) and chronic (intrinsic) mortality factors. We proposed that the mortality change in the first period was largely determined by the elimination of immediate hazards to death, whereas the mortality change in the second period was primarily driven by the slowdown of the deterioration rate of intrinsic survival capacity.

show abstract

“…11 Gompertz analysis has been widely used as a descriptor of general and disease specific human mortality. [12][13][14] Gompertzian function assumes an exponential relation between age and mortality rates (R x = R 0 e x ), where R x is the mortality rate at age x, R 0 is a theoretical mortality rate at birth, and e is the base of the natural logarithm. This relation can be analysed easily using a logarithmic transformation (equation 1).…”

Section: Methodsmentioning

confidence: 99%

“…13 In a previous report we have pointed out the mathematical drawbacks of this procedure. 14 The Gompertzian analysis was restricted to the period 1961-1991. From 1951 to 1960 the SNIS gave its data in wide age groups stratifying people aged 65 and over, whereas from 1961 on it oVered five year strata.…”

Section: Methodsmentioning

confidence: 99%

Increase in cervical cancer mortality in Spain, 1951-1991

Llorca

Prieto

Delgado-Rodrı́guez

1999

Journal of Epidemiology & Community Health

View full text Add to dashboard Cite

Background-The trend in cervical cancer mortality in Spain from 1951 to 1991 is examined. Methods-Analysis of national mortality statistics calculating age standardised mortality rates and an age-period cohort analysis. A fit to the Gompertz function was made to estimate the influence of the environmental factors on the mortality rates evolution. Main results-The age standardised mortality rate in Spain is lower than in other developed countries (USA or Estonia) and equal to Norwegian and Finland rates; but whereas in these countries the trend is to decrease, the Spanish rate has increased during this period, because of a cohort eVect. A misclassification bias could be responsible for the trend in women aged 40 and older but the increasing trend in younger women could not be interpreted as espurious. The Gompertzian analysis suggests an increase in environmental factors causing cervical cancer. Conclusions-Cervical cancer mortality rates are increasing in Spain because of environmental factors. (J Epidemiol Community Health 1999;53:408-411) Cervical cancer mortality has been decreasing in developed countries for several decades.

show abstract

Longitudinal Gompertzian and Weibull analyses of adult mortality in Spain (Europe), 1900–1992

Cited by 14 publications

References 11 publications

Aging in the Context of Cohort Evolution and Mortality Selection

Aging in the Context of Cohort Evolution and Mortality Selection

The Strehler–Mildvan correlation from the perspective of a two-process vitality model

Increase in cervical cancer mortality in Spain, 1951-1991

Contact Info

Product

Resources

About