Author pages are created from data sourced from our academic publisher partnerships and public sources.
A Frailty Index Based On Deficit Accumulation Quantifies Mortality Risk in Humans and in Mice
Although many common diseases occur mostly in old age, the impact of ageing itself on disease risk and expression often goes unevaluated. To consider the impact of ageing requires some useful means… Expand
Disability and co-morbidity in relation to frailty: how much do they overlap?
- O. Theou, M. Rockwood, A. Mitnitski, K. Rockwood
- Archives of gerontology and geriatrics
- 1 September 2012
The purpose of this study was to examine the association of disability and co-morbidity with frailty in older adults. 2305 participants aged 65+ from the second wave of the Canadian Study of Health… Expand
Some mathematical models of frailty and their clinical implications
Frailty is a term that is used often, but commonly not defined precisely. As reviewed elsewhere most definitions share several features. Typically, older adults who are frail have a greater rate of… Expand
How Might Deficit Accumulation Give Rise to Frailty?
Frailty is a multiply determined vulnerability state. People who are frail are at risk of many adverse health outcomes, including death. For any individual, this risk can only be expressed… Expand
Nontraditional risk factors combine to predict Alzheimer disease and dementia
Objective: To investigate whether dementia risk can be estimated using only health deficits not known to predict dementia. Methods: A frailty index consisting of 19 deficits not known to predict… Expand
Socioeconomic gradient in health in Canada: Is the gap widening or narrowing?
BACKGROUND Notwithstanding a general improvement in health status, the socioeconomic gradient in health remains a public health challenge worldwide. OBJECTIVE Using longitudinal data from the… Expand
Frailty, fitness, and the mathematics of deficit accumulation
Applying neural network Poisson regression to predict cognitive score changes
In this study, we combined a Poisson regression model with neural networks (neural network Poisson regression) to relax the traditional Poisson regression assumption of linearity of the Poisson mean… Expand
Resilience and frailty: Further steps, best taken together
DEFICIT ACCUMULATION WITH AGE AND THE RISK OF LATE-LIFE DEMENTIA: A TEN-YEAR FOLLOW-UP STUDY