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Overcoming the barriers to hearing care interventions – report

Significant social and psychological barriers to accessing hearing care interventions have been identified in a new study.
It highlights a lack of awareness of the long term implications of not addressing hearing loss, and the role of pharmacies in supporting hearing loss treatment.
Hearing health firm TympaHealth surveyed around 1000 adults from 18 to 65 and over.
More than half (53 per cent) of people reported they were unaware of the long-term health implications of unaddressed hearing loss, leaving people at risk of additional health and wellbeing issues like social isolation and dementia.
While more than one in three people (35 per cent) have experienced hearing loss, and over half (56 per cent) stating it has had a negative impact on their mental health, over one in three (35 per cent) have never had their hearing checked.
The survey revealed that waiting list duration was a key barrier for 28 per cent of people addressing ear and hearing health.
Embarrassment also emerged as a primary deterrent, with 31 per cent expressing concerns about potentially having to wear a hearing aid, viewing it as a barrier to seeking treatment.
The data also showed a lack of awareness among UK adults of the negative impact hearing loss can have on brain health, with over half (53 per cent) of people reporting they’re unaware of the long-term health implications of unaddressed hearing loss.
The Lancet found that risk factors associated with people developing conditions such as dementia include hearing impairment (7 per cent). Research by The University of Oxford, also found that building cognitive resilience at a young age will make the brain more robust and potentially better able to fight off conditions such as dementia in later life.
Dr Krishan Ramdoo, CEO and founder of TympaHealth and ENT surgeon, said: “Our research findings show that ear and hearing health is being overlooked by people, due to a variety of factors, but perhaps most concerningly people are worried about the social implications of addressing their ear and hearing health.
“It’s a myth that ear and hearing health only impacts older people. It can affect people at any age. Early and timely intervention makes a significant difference to people’s lives, it can prevent long term issues from arising, including poor mental health and cognitive decline, and ensure people can fulfil their potential.”
Professor Adrian Davis OBE, technical advisor for the World Health Organisation (WHO), said: “These findings underscore the urgent need to destigmatise hearing health and create supportive local people friendly environments that encourage auditory well-being.
“This new research serves as a critical wake-up call, emphasising the importance of early hearing protection and timely early interventions. By prioritising the psychological and social barriers, NHS and private sector healthcare providers and community leaders can help adults maintain their ear and hearing health and quality of life.”
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AI can predict Alzheimer’s with almost 93% accuracy, researchers say

Alzheimer’s AI can predict the disease with nearly 93 per cent accuracy using more than 800 brain scans, researchers say.
The system identified anatomical changes in the brain linked to the onset of the most common form of dementia, a condition that gradually damages memory and thinking.
The findings build on years of research suggesting AI could help spot early Alzheimer’s risk, predict disease and identify patients whose condition has not yet been diagnosed.
Benjamin Nephew, an assistant research professor at the Worcester Polytechnic Institute in Massachusetts, said: “Early diagnosis of Alzheimer’s disease can be difficult because symptoms can be mistaken for normal ageing.
“We found that machine-learning technologies, however, can analyse large amounts of data from scans to identify subtle changes and accurately predict Alzheimer’s disease and related cognitive states.”
The study used MRI scans, a type of detailed brain imaging, from 344 people aged 69 to 84.
The dataset included 281 scans showing normal mental function, 332 with mild cognitive impairment, an early stage of memory and thinking decline, and 202 with Alzheimer’s.
The scans covered 95 of the brain’s nearly 200 distinct regions and used an AI algorithm to predict patients’ health.
Being able to use AI to help diagnose Alzheimer’s earlier could give patients and doctors crucial time to prepare and potentially slow the progression of the disease.
The analysis showed that one of the top predictive factors was brain volume loss, or shrinkage, in the hippocampus, which helps form memories, the amygdala, which processes fear, and the entorhinal cortex, which helps provide a sense of time.
This pattern held across age and sex, with both men and women aged 69 to 76 showing volume loss in the right part of the hippocampus, suggesting it may be an important area for early diagnosis, the researchers noted.
However, the research also found that the way brain regions shrink differs by sex.
In females, volume loss occurred in the brain’s left middle temporal cortex, which is involved in language and visual perception. In males, it was mainly seen in the right entorhinal cortex
The researchers believe this could be linked to changes in sex hormones, including the loss of oestrogen in women and testosterone in men.
These conclusions could help improve methods of diagnosis and treatment going forward, Nephew said.
More than 7.2m Americans are living with Alzheimer’s, according to the Alzheimer’s Association.
More research is being done to reveal other impacting factors.
Nephew said: “The critical challenge in this research is to build a generalisable machine-learning model that captures the difference between healthy brains and brains from people with mild cognitive impairment or Alzheimer’s disease.”
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