Related Experiment Video
Updated: Nov 16, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Improving outcomes for people with mild cognitive impairment: An Australian mixed-methods pilot study
Luciana Theodoro de Freitas1,2, Tilley Pain1,2, Fiona Barnett3
1Townsville Hospital and Health Service, Townsville, Qld, Australia.
Objective:
This pilot study tested the feasibility and acceptability of an innovative functional task exercise program to ameliorate mild cognitive impairment.
Methods:
The functional task exercise program was trialled on community-dwelling adults aged 60 years or older. The 10-week program was conducted in regional Australia and evaluated for acceptability and feasibility. Outcomes were assessed pre- and post- intervention and at three-month follow-up. Structured interviews were conducted with caregivers and participants at the end of the program.
Results:
Acceptability was demonstrated, with approximately 80% of the 23 participants completing the program. Clinical improvements were demonstrated in several cognitive and functional measures using an uncontrolled pre-post test design. Qualitative findings suggest feasibility as the program was viewed positively by participants and caregivers.
Conclusion:
The functional exercise program was acceptable, was feasible and improved outcomes in an Australian context. Research is urgently needed to identify and treat people with mild cognitive impairment living in the community.
More Related Videos
07:01Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment
Published on: September 20, 2020
06:58Highlighting and Reducing the Impact of Negative Aging Stereotypes During Older Adults' Cognitive Testing
Published on: January 24, 2020