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Dataset Information

Dynamical indicators in time series of healthcare expenditures predict mortality risk of older adults following spousal bereavement.


ABSTRACT:

Background

The process of aging renders older people susceptible for adverse outcomes upon stress. Various indicators derived from complex systems theory have been proposed for quantifying resilience in living organisms, including humans. We investigated the ability of system-based indicators in capturing the dynamics of resilience in humans who suffer the adversity of spousal bereavement and tested their predictive power in mortality as a finite health transition.

Methods

Using longitudinal register data on weekly healthcare consumption of all Danish citizens over the age of 65 from January 1st, 2011, throughout December 31st, 2016, we performed statistical comparisons of the indicators 'average', 'slope', 'mean squared error', and 'lag-1 autocorrelation' one year before an

SUBMITTER: Katsiferis A 

PROVIDER: S-EPMC8991510 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature