Study finds dementia risk factors may affect women more strongly

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Researchers say several common health conditions may have a far greater impact on women’s brain health than previously believed.

Memory loss often develops quietly. What begins as missed appointments or repeated stories can slowly turn into something far more serious, leaving families searching for answers about who is most vulnerable and why.

New research from the University of California San Diego is now challenging one of the most common assumptions surrounding Alzheimer’s disease. While women have long represented the majority of dementia cases, researchers say lifespan alone may not explain the difference.

In a study based on health data from more than 17,000 Americans, scientists found that several well-known dementia risks appear to place a heavier cognitive burden on women than men. The research was published in Biology of Sex Differences.

Instead of focusing only on how common certain conditions are, the researchers examined how strongly they were linked to declining brain function. The results revealed notable differences between the sexes.

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Women in the study more frequently reported issues such as depression, disrupted sleep, and lower levels of physical activity. At the same time, conditions tied to cardiovascular and metabolic health appeared to have a stronger association with reduced cognitive performance among women.

Researchers also observed that diabetes and hearing loss, although more common among men in the data set, were connected to poorer cognition in women.

The findings add to growing scientific interest in whether dementia prevention should be tailored differently for men and women. Researchers say future strategies may need to focus less on broad population averages and more on how individual risk factors affect specific groups.

Scientists involved in the study believe further research is still needed to understand the biological and social mechanisms behind these differences, including the possible role of hormones, genetics, and healthcare inequalities.

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This article is made and published by Mie Hermansen, who may have used AI in the preparation.

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