Daily Archives: 5 April 2024

Impoverished areas associated with increased risk of dementia and accelerated brain ageing

Residing in less affluent areas is associated with both quicker brain ageing and a heightened risk of developing dementia early in life, irrespective of an individual’s income or educational background, according to a study led by Duke University. This research, published on March 14 in Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association, points to the potential benefits of implementing dementia prevention initiatives in economically disadvantaged neighbourhoods and suggests that healthcare professionals should take into account a patient’s living environment as a factor in dementia risk assessment.

The study underscores the importance of considering an individual’s residential area in the broader context of dementia prevention. Aaron Reuben, PhD, the lead researcher and clinical neuropsychologist, highlighted the significance of addressing the topic of one’s living environment when assessing dementia risk. This research aligns with the growing concern over Alzheimer’s disease, the most prevalent type of dementia that significantly impairs memory and cognitive abilities. Currently affecting an estimated 58 million people worldwide, the number of dementia cases is expected to surge to 150 million by 2050. Given the absence of curative treatments or highly effective medications, the focus has shifted towards prevention through lifestyle adjustments such as diet and exercise.

Reuben was motivated by geographic patterns in dementia risk, analogous to “blue zones” where people tend to live longer. The study examined the living conditions and medical records of 1.41 million individuals in New Zealand, evaluating the socioeconomic status of neighbourhoods based on national census data, including average income, employment rates, and access to transportation. Findings revealed that individuals in the most disadvantaged neighbourhoods faced a 43% higher risk of developing dementia over two decades.

The research further delved into early indicators of neurodegeneration associated with living in economically disadvantaged areas. Utilizing data from the Dunedin Study, tracking nearly 1,000 New Zealanders from birth through adulthood, the team observed signs of poorer brain health by age 45 in individuals from poorer neighbourhoods, regardless of their income or education. That was evidenced through various measures, including the density and size of nerve cells in key brain areas and the efficiency of neural communication.

These individuals also exhibited brain characteristics typically associated with older age in MRI scans, appearing approximately three years older than their actual age. They faced more challenges with memory and daily cognitive tasks. The study suggests that the environment one lives in plays a critical role in brain health and dementia risk, potentially due to factors like air quality, social interaction levels, stress, and neighbourhood walkability.

Reuben advocates for targeted community interventions and early consideration of a person’s living environment as strategies to address and mitigate the risk of dementia. This approach highlights the necessity of starting dementia prevention efforts early, acknowledging that signs of the condition can manifest decades before a formal diagnosis. Through community-focused initiatives and considering environmental factors in dementia risk assessments, there may be a path forward in combating the increasing challenge of dementia globally.

More information: Aaron Reuben, Leah S. Richmond-Rakerd, Barry Milne, Devesh Shah, Amber Pearson et al, Dementia, dementia’s risk factors and premorbid brain structure are concentrated in disadvantaged areas: National register and birth-cohort geographic analyses, Alzheimer’s & Dementia. DOI: 10.1002/alz.13727

Journal information: Alzheimer’s & Dementia Provided by Duke University

Research identifies alterations in cognitive function among elderly drivers through the use of sensors installed in vehicles

It is estimated that between four to eight million older adults in the United States who are experiencing mild cognitive impairment are currently behind the wheel. Remarkably, a third of these individuals are at risk of developing dementia within the next five years. As dementia progresses, it eventually impairs the ability to drive safely, yet many of these individuals remain oblivious to their deteriorating cognitive health.

The capacity for current driving screening and evaluation services to assess individuals with cognitive concerns is limited, leaving many undiagnosed who need to understand whether they require medical intervention.

Researchers from a multidisciplinary team at Florida Atlantic University, encompassing fields such as nursing, engineering, and neuropsychology, are pioneering the evaluation and testing of a new, discreet in-vehicle sensing system they have devised. This innovation holds the potential to be the first step towards providing an extensive, cost-effective early warning system for cognitive decline among the vast population of older drivers in the U.S. and potentially worldwide.

Their research, published in BMC Geriatrics, methodically investigates how this system can identify unusual driving behaviours that may suggest cognitive impairments. More studies must look at the continuous, discreet monitoring of daily complex activities over time for signs of subtle cognitive changes. This gap presents an uncharted opportunity to recognize early cognitive decline in a significant segment of the older driving population.

Ruth Tappen, Ed.D., the study’s lead investigator and senior author, highlighted the critical nature of early detection of cognitive dysfunction. She pointed out that autopsies of older drivers who died in car accidents, who were unaware they had Alzheimer’s disease, showed brain neuropathologies of the condition. According to her, sensor systems fitted in the vehicles of older drivers could be instrumental in identifying these cognitive shifts, thus providing timely alerts for possible cognitive deterioration.

The study employs a naturalistic longitudinal approach, continuously monitoring driving behaviours and correlating these observations with comprehensive cognitive assessments conducted quarterly over three years. That includes installing cameras facing the driver and the road alongside a telematics unit within the vehicle. Data is collected every three months, concurrent with cognitive testing.

The researchers monitor aberrant driving behaviours such as disorientation, disregard for traffic signals, near-collisions, distraction, and drowsiness, as well as specific driving patterns like the number of trips made, miles driven, and driving under different conditions.

The sensor network developed by FAU’s College of Engineering and Computer Science utilizes open-source hardware and software to streamline in-vehicle development. The system emphasizes seizing simplicity and compactness to its discreetness. The system includes two distributed sensing units for collecting telematics and video data.

The video component features built-in artificial intelligence capabilities for real-time analysis, including monitoring the driver’s facial expressions, behaviours, and external events. Indicators of driver behaviour analyzed include adherence to traffic signs, detection of nearby objects and pedestrians, and lane discipline, which are crucial for identifying changes in an older driver’s cognitive and physical capabilities.

The study will involve 460 participants from Southeast Florida, categorized into groups based on their cognitive status: mild cognitive impairment, early dementia, and unimpaired. The Louis and Anne Green Memory and Wellness Center, operated by FAU’s College of Nursing, is the clinical site for comprehensive assessments covering cognitive function, daily living activities, mood, executive function, and attention.

Tappen emphasizes that the innovative aspect of their research lies in the hidden nature of the sensing and monitoring system. This system leverages modern open-source technologies to develop a novel application for detecting cognitive changes in drivers. This approach represents a significant step forward in the early detection and monitoring of mental health among older drivers, potentially leading to improved safety and quality of life for this demographic.

More information: Ruth Tappen et al, Study protocol for “In-vehicle sensors to detect changes in cognition of older drivers”, BMC Geriatrics. DOI: 10.1186/s12877-023-04550-5

Journal information: BMC Geriatrics Provided by Florida Atlantic University