{"id":125039,"date":"2018-05-08T09:00:47","date_gmt":"2018-05-08T13:00:47","guid":{"rendered":"https:\/\/www.bu.edu\/sph\/?p=125039"},"modified":"2020-09-17T10:23:23","modified_gmt":"2020-09-17T14:23:23","slug":"age-marital-status-associated-with-risk-for-dementia","status":"publish","type":"bu-article","link":"https:\/\/www.bu.edu\/sph\/news\/articles\/2018\/age-marital-status-associated-with-risk-for-dementia\/","title":{"rendered":"Age, Marital Status Associated with Risk for Dementia"},"content":{"rendered":"\n
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May 8, 2018<\/div>\n\t\t\n\t\t\t\t
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\"thumbnail-senior-woman-holding-head\"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.<\/p>\n

Now, a new study co-authored by a School of Health researcher has found that age, marital status, body mass index, and amount of sleep can all have an impact on a person’s risk for dementia.<\/p>\n

\u201cThis 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,” says senior\u00a0author Rhoda Au<\/a>, professor of epidemiology and of anatomy and neurobiology at the School of Medicine<\/a>. “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.\u201d\u00a0<\/span><\/p>\n

Researchers analyzed data from the Framingham Heart Study <\/a>to identify new combinations of risk factors that are linked to increased risk of dementia in later life. They\u00a0examined demographic and lifestyle data collected from 1979 until 1983 and then determined who was subsequently diagnosed with dementia. <\/span><\/p>\n

The researchers found that\u00a0greater age was strongly associated with dementia, as was a marital status of “widowed,” lower BMI, and having experienced less sleep at mid-life.<\/span><\/p>\n

According to the researchers, what makes their approach unique is the focus on information that is readily available to any primary care physician and doesn\u2019t require specialized training or expensive testing, as well as using machine learning to help identify these factors.<\/span><\/p>\n

\u201cWe wanted to identify information that any physician or even non-physician has easy access to in determining potential increased future risk for dementia,” says Au. “Most dementia screening tools require specialized training or testing, but the front line for screening are primary care physicians or family members.”<\/span><\/p>\n

The researchers believe there are potential downstream implications for this study. \u201cDemographic 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,\u201d they wrote.<\/span><\/p>\n

Funding was provided by the Milstein Medical Asian American Partnership Foundation Irma & Paul Milstein Program for Senior Health Fellowship; Framingham Heart Study\u2019s National Heart, Lung, and Blood Institute; the National Institute on Aging; and the National Institute of Neurological Disorders and Stroke.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Greater age, widowed marital status, lower BMI, and less sleep at mid-life all identified as risk factors. <\/p>\n","protected":false},"author":7174,"featured_media":125043,"comment_status":"closed","ping_status":"open","template":"","meta":{"bu_prepress_billboard":"","_bu_prepress_primary_term":"","_bu_prepress_primary_term_manual":""},"tags":[2751],"bu-publication":[3516],"sphnews-article-category":[3519,3530,3531,3540],"sphnews-topic":[],"bu_edition":[],"media_type":[],"profile_tax":[],"_links":{"self":[{"href":"https:\/\/www.bu.edu\/sph\/wp-json\/wp\/v2\/bu-article\/125039"}],"collection":[{"href":"https:\/\/www.bu.edu\/sph\/wp-json\/wp\/v2\/bu-article"}],"about":[{"href":"https:\/\/www.bu.edu\/sph\/wp-json\/wp\/v2\/types\/bu-article"}],"author":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/sph\/wp-json\/wp\/v2\/users\/7174"}],"replies":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/sph\/wp-json\/wp\/v2\/comments?post=125039"}],"version-history":[{"count":4,"href":"https:\/\/www.bu.edu\/sph\/wp-json\/wp\/v2\/bu-article\/125039\/revisions"}],"predecessor-version":[{"id":173517,"href":"https:\/\/www.bu.edu\/sph\/wp-json\/wp\/v2\/bu-article\/125039\/revisions\/173517"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/sph\/wp-json\/wp\/v2\/media\/125043"}],"wp:attachment":[{"href":"https:\/\/www.bu.edu\/sph\/wp-json\/wp\/v2\/media?parent=125039"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.bu.edu\/sph\/wp-json\/wp\/v2\/tags?post=125039"},{"taxonomy":"bu-publication","embeddable":true,"href":"https:\/\/www.bu.edu\/sph\/wp-json\/wp\/v2\/bu-publication?post=125039"},{"taxonomy":"sphnews-article-category","embeddable":true,"href":"https:\/\/www.bu.edu\/sph\/wp-json\/wp\/v2\/sphnews-article-category?post=125039"},{"taxonomy":"sphnews-topic","embeddable":true,"href":"https:\/\/www.bu.edu\/sph\/wp-json\/wp\/v2\/sphnews-topic?post=125039"},{"taxonomy":"bu_edition","embeddable":true,"href":"https:\/\/www.bu.edu\/sph\/wp-json\/wp\/v2\/bu_edition?post=125039"},{"taxonomy":"media_type","embeddable":true,"href":"https:\/\/www.bu.edu\/sph\/wp-json\/wp\/v2\/media_type?post=125039"},{"taxonomy":"profile_tax","embeddable":true,"href":"https:\/\/www.bu.edu\/sph\/wp-json\/wp\/v2\/profile_tax?post=125039"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}