News
Emotional well-being as important as physical for longevity, study finds

Focusing only on physical health isn’t enough for longevity – emotional and social well-being are equally important, new research has found.
Researchers looked at more than 8,000 older adults’ optimal well-being, which they defined as having social support, positive perceptions of ageing, physical and mental health, happiness, life satisfaction and the ability to carry out daily activities without severe limitations.
Dr Mabel Ho is the study’s first author and a recent doctoral graduate at the University of Toronto’s Factor-Inwentash Faculty of Social Work and the Institute of Life Course and Ageing..
She said: “Our study of over 8,000 older adults found that many who were not in optimal well-being at the start of the study were able to regain it within just three years,” referring to one in four older adults whose health significantly improved.
“These findings challenge the notion that well-being inevitably declines with age and highlight the potential for positive change later in life.”
The study was a secondary analysis of data collected from the Canadian Longitudinal Study on Ageing.
More than one in five Americans will be aged 65 or older by 2040, and nearly three in five of them will need long-term services and support.
In 2023, about 93 per cent of adults aged 65 or older in the US reported having at least one chronic disease, such as heart disease or diabetes.
Ho said: “Individuals who began with strong psychological and emotional well-being were nearly five times more likely to reach optimal overall health by the end of the study.”
The results “also underscored the critical influence of supportive relationships, socioeconomic conditions and healthy lifestyle choices such as regular physical activity, not smoking and good sleep,” she added.
However, the study’s findings may not apply universally since the research was conducted in Canada, where patients have access to universal healthcare.
“These findings provide valuable insight into ageing and well-being in the context of a high-income country with universal healthcare,” Ho said.
“However, it remains unclear how well these results translate to the US, where life-long universal healthcare is not available; similarly, more research is needed to understand how older adults in diverse global settings experience and regain well-being in low- and middle-income countries, where healthcare access, social supports and economic conditions can differ significantly from Canada.”
Physically, there are three key lifestyle changes to support healthy ageing – regular exercise, good sleep and a nutritious diet.
While those habits are vital, they are less effective if issues like loneliness and a lack of positive relationships are not addressed.
“One of the things I always say to my patients is, believe it or not, there’s no disease, dis-ease or lack of ease, without your mind.
Dr Andrew Freeman is director of cardiovascular prevention and wellness at National Jewish Health in Denver, and was not involved in the study.”
He said: “The mind-body connection is unbelievably underestimated by Western medicine.”
Chronically lonely adults aged 50 and older have a 56 per cent higher risk of stroke than adults lower on the loneliness scale.
Stress reduction and frequent socialising were also linked to improved cognition in people with early-stage Alzheimer’s disease.
News
Mole rat gene extends mouse lifespan
News
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.”
News
Vision implant firm raises US$230m
News2 weeks agoInterview: The US company appealing Europe’s rejection of daily Alzheimer’s pill
News4 weeks agoLongevity startup Biopeak raises US$2.7m
News4 weeks agoBryan Johnson launches US$1m longevity programme
Markets & Industry4 weeks agoAgetech investment & innovation round-up
News2 weeks agoCentenarians’ blood reveals longevity clues
News4 weeks agoInterview: Dr Matthew Bennett on building resilience and a pain-free healthspan
Wellness4 weeks agoRe:Cognition and Cera expand Alzheimer’s clinical trials access
News4 weeks agoFrench biotech raises €12m for osteoarthritis trial

















