Exploring the impact of prevalence and mortality on incidence of dementia in the oldest old: The sensitivity of a deterministic approach

Citation
Ma. Mcgee et C. Brayne, Exploring the impact of prevalence and mortality on incidence of dementia in the oldest old: The sensitivity of a deterministic approach, NEUROEPIDEM, 20(4), 2001, pp. 221-224
Citations number
13
Categorie Soggetti
Neurosciences & Behavoir
Journal title
NEUROEPIDEMIOLOGY
ISSN journal
02515350 → ACNP
Volume
20
Issue
4
Year of publication
2001
Pages
221 - 224
Database
ISI
SICI code
0251-5350(200110)20:4<221:ETIOPA>2.0.ZU;2-6
Abstract
Background: There has been considerable debate about whether dementia is an age-related or an aging-related phenomenon. When the evidence is restricte d to prevalence data, the inferences are not sound because incidence, morta lity and differential mortality are not taken into account. The aim of the paper is to demonstrate the use and sensitivity of a deterministic model ba sed on the relationship between mortality, incidence and prevalence with th e example of the chronic disease dementia. Design: The simple deterministic model used here allows the calculation of one component given the other th ree. The sensitivity of calculated incidence to individual and combined cha nges in mortality, differential mortality (as measured by the mortality odd s ratio) and prevalence is examined using published data. Main Results: Cal culated incidence continues to increase with age despite extreme but plausi ble changes in each of the other components. Calculated incidence declines amongst the oldest old only where the changes are combined. Conclusion: The deterministic model is shown to provide robust interrogation of the relati onship between prevalence, incidence and survival. The effect incidence and survival have on the age-related and aging-related debate is illustrated. Only with extreme assumptions can the incidence of dementia be lessened. Cl early, more information on the oldest old is needed, but incidence studies of sufficient size at such great ages are problematic, and therefore there is a need to use flexible models for maximising the value of empirical data . Copyright (C) 2001 S. Karger AG, Basel.