The utility of estimating population-level trajectories of terminal wellbeing decline within a growth mixture modelling framework
Date
Authors
Burns, Richard
Byles, J.
Magliano, D. J.
Mitchell, P.
Anstey, Kaarin
Journal Title
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Volume Title
Publisher
Springer Verlag
Abstract
Purpose Mortality-related decline has been identified
across multiple domains of human functioning, including
mental health and wellbeing. The current study utilised a
growth mixture modelling framework to establish whether
a single population-level trajectory best describes mortality-
related changes in both wellbeing and mental health, or
whether subpopulations report quite different mortalityrelated
changes.
Methods Participants were older-aged (M = 69.59 years;
SD = 8.08 years) deceased females (N = 1,862) from the
dynamic analyses to optimise ageing (DYNOPTA) project.
Growth mixture models analysed participants’ responses
on measures of mental health and wellbeing for up to
16 years from death.
Results Multi-level models confirmed overall terminal
decline and terminal drop in both mental health and wellbeing.
However, modelling data from the same participants
within a latent class growth mixture framework indicated that most participants reported stability in mental health
(90.3 %) and wellbeing (89.0 %) in the years preceding
death.
Conclusions Whilst confirming other population-level
analyses which support terminal decline and drop hypotheses
in both mental health and wellbeing, we subsequently
identified that most of this effect is driven by a small, but
significant minority of the population. Instead, most individuals
report stable levels of mental health and wellbeing
in the years preceding death.
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Social Psychiatry and Psychiatric Epidemiology : http://dx.doi.org/10.1007/s00127-014-0948-3