[Aim] The aim of this study is constructing predictive models for vital and quality of life (QOL) prognosis and dementia risk in the elderly, and examining the prediction accuracy of these models. We also proposed a mobile Social Diagnosis Instrument (m-SDI), a tool that can be used practically in the medical, caregiving, and insurance fields, by utilizing the results of the prediction models to evaluate preventative care and support strategies for independent living of the elderly. [Method] We conducted a regression analysis based on the results of a survey on activities of daily living, QOLs (physical component summary; PCS and mental component summary; MCS), cognitive function, low nutrition risk, and actual living circumstances of the residents in a village in Nagano prefecture (2007, 2014). [Results] For men and women respectively: (1) vital prognosis:
R2=0.324 and
R2=0.302 (2) QOL (PCS):
R2=0.325 and
R2=0.090. [Summary] Predictive models require further improvements, including addition of other question items, to make it more practical. m-SDI uses a tablet device and allows responses to be input easily during a home visit, thereby appropriate lifestyle guidance can be provided to individuals while perusing their diagnostics results.
抄録全体を表示