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Can virtual reality tests of attention and reaction time help predict falls in older adults?

Opening soon · I.R.C.C.S Ospedale Galeazzi-Sant'Ambrogio

What this means

This is a plan for a study that has not started yet. It will check whether virtual reality tests of attention, reaction, and vision relate to fall risk.

Plain-English summary written by an AI model from the registry listing.

Status
Opening soon
Who can join
Ages 60 and over
Where
Not listed

Contacts and how to join ↗

The science

Registered title
Use of Virtual Reality for the Assessment of Attentional and Reaction Abilities for Fall Risk Evaluation
Phase
Not applicable
Study type
observational
Conditions
Aging, Fall Risk Factors, Sleep
Sponsor
I.R.C.C.S Ospedale Galeazzi-Sant'Ambrogio
Ages
60 Years to no maximum
Dates
First posted Apr 23, 2025 · updated Apr 23, 2025

Registry summary

Aging is a condition characterized by a general decline in physical and cognitive performance, however its effects on various functions are still controversial. These changes lead to an increased risk of injuries, particularly due to falls. According to the World Health Organization (WHO) report, 28-35% of individuals aged over 65 experience a fall each year, and this percentage increases with age. For this reason, preventing falls among the elderly is undeniably one of the most critical public health issues in today's aging society. Nowadays, it is widely demonstrated that the loss of muscle strength and mass, along with decreased balance, significantly increases the risk of falls. However, with aging, numerous other changes occur that contribute to an increased risk of falls, such as a decline in cognitive function, including attention, reaction capabilities and memory, as well as other factors that worsen the quality of life, such as insufficient sleep or nutrition. According to WHO estimates, by 2030, the number of injuries due to falls will double. Therefore, it is of great importance to understand and analyze the factors contributing to falls among older adults in everyday life. For this reason, the principal aim of this study was to evaluate the correlation between the fall index and the Visual Attention, Reaction Time and visual field using the technologies of Virtual Reality (VR). Since aging brigs changes in different aspect, the secondary objectives aim to study the correlation also with i) sleep quantity and quality parameters, ii) risk of malnutrition, and iii) physical condition, muscle conditions and strength in order to have a comprehensive understanding of the factors that most contribute to the risk of falls. In addition to these objectives, the correlation between acute sleep deprivation and the risk of falls will also be analyzed, in order to understand how inadequate sleep quantity can impact injuries in the elderly.

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