• HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
Thursday, May 21, 2026
BIOENGINEER.ORG
No Result
View All Result
  • Login
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
No Result
View All Result
Bioengineer.org
No Result
View All Result
Home NEWS Science News Health

Age, marital status, BMI and sleep associated with risk for dementia

Bioengineer by Bioengineer
May 8, 2018
in Health
Reading Time: 2 mins read
0
Share on FacebookShare on TwitterShare on LinkedinShare on RedditShare on Telegram

(Boston) — Could your age, marital status, BMI (body mass index) and amount of sleep impact your risk for dementia?

Researchers at Boston University School of Medicine (BUSM) analyzed data from the Framingham Heart Study (FHS) to identify new combinations of risk factors that are linked to increased risk of dementia in later life.

"This study is the first step in applying machine learning approaches to identifying new combinations of factors that are linked to increased risk of dementia later in life. "By focusing on modifiable risk factors, we are hoping to identify disease risk factors that are amenable to change, enabling the possibility of preventing dementia," explained corresponding author Rhoda Au, PhD, professor of anatomy and neurobiology.

Using data from FHS, the researchers examined demographic and lifestyle data collected from 1979 until 1983 and then determined who was subsequently diagnosed with dementia. As expected, greater age was strongly associated with dementia as was a marital status of 'widowed,' lower BMI and having experienced less sleep at mid-life.

Dementia is the leading cause of dependence and disability in the elderly population worldwide. Currently there is no effective medication for dementia treatment. Therefore, identifying life-related risk factors including some that are modifiable may provide important strategies for reducing risk of dementia.

According to the researchers what makes this approach unique is their focus on information that is readily available to any primary care physician and doesn't require specialized training or expensive testing, as well as using machine learning to help identify these factors.

"We wanted to identify information that any physician or even non-physician has easy access to in determining potential increased future risk for dementia. Most dementia screening tools require specialized training or testing, but the front line for screening are primary care physicians or family members. This was also an initial attempt to apply machine learning methods to identify risk factors," said Au.

The researchers believe there are potential downstream implications for this study. "Demographic and lifestyle factors that are non-invasive and inexpensive to implement can be assessed in midlife and used to potentially modify the risk of dementia in late adulthood."

These findings appear in the Journal of Alzheimer's Disease.

###

Funding was provided by the Milstein Medical Asian American Partnership Foundation Irma & Paul Milstein Program for Senior Health Fellowship; Framingham Heart Study's National Heart, Lung, and Blood Institute contract (N01-HC-25195; HHSN268201500001I); by grants (R01-AG016495, R01-AG008122, R01-AG033040) from the National Institute on Aging; and by grant (R01-NS017950) from the National Institute of Neurological Disorders and Stroke.

Media Contact

Gina DiGravio
[email protected]
617-638-8480
@BUMedicine

http://www.bmc.org

Share12Tweet7Share2ShareShareShare1

Related Posts

Nonlinear Atomic Tunneling Enhanced by Bright Squeezed Vacuum

May 21, 2026

Genetic Insights from 619,372 Metabolic Profiles

May 21, 2026

Bacterial STIs Hit Record Levels in Europe as Congenital Syphilis Cases Nearly Double

May 21, 2026

Oral Semaglutide Lowers Cardiometabolic Risks in Obesity

May 21, 2026
Please login to join discussion

POPULAR NEWS

  • blank

    New Study Reveals Plants Can Detect the Sound of Rain

    733 shares
    Share 292 Tweet 183
  • ESMO 2025: mRNA COVID Vaccines Enhance Efficacy of Cancer Immunotherapy

    304 shares
    Share 122 Tweet 76
  • Research Indicates Potential Connection Between Prenatal Medication Exposure and Elevated Autism Risk

    846 shares
    Share 338 Tweet 212
  • Breastmilk Balances E. coli and Beneficial Bacteria in Infant Gut Microbiomes

    58 shares
    Share 23 Tweet 15

About

We bring you the latest biotechnology news from best research centers and universities around the world. Check our website.

Follow us

Recent News

Innovative Reusable Brick Walls Revolutionize Construction Industry

Nonlinear Atomic Tunneling Enhanced by Bright Squeezed Vacuum

Label-Free Super-Resolution Imaging of Live Cells

Subscribe to Blog via Email

Enter your email address to subscribe to this blog and receive notifications of new posts by email.

Join 82 other subscribers
  • Contact Us

Bioengineer.org © Copyright 2023 All Rights Reserved.

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
  • Homepages
    • Home Page 1
    • Home Page 2
  • News
  • National
  • Business
  • Health
  • Lifestyle
  • Science

Bioengineer.org © Copyright 2023 All Rights Reserved.