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Subjective cognitive decline is often the first indication of preclinical dementia, with the risk of subsequent Alzheimer\u2019s disease in such individuals being greater in women than men. We wished to understand how modifiable factors are associated with subjective cognitive decline, and whether differences exist by sex.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Data were collected from men and women (45\u00a0years and older) who completed the U.S. Behavioral Risk Factor Surveillance System Cognitive Decline Module (2015\u20132018),\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u2009216,838. We calculated population-attributable fractions for subjective cognitive decline, stratified by sex, of the following factors: limited education, deafness, social isolation, depression, smoking, physical inactivity, obesity, hypertension, and diabetes. Our models were adjusted for age, race, income, employment, marital and Veteran status, and accounted for communality among risk factors.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The final study sample included more women (53.7%) than men, but both had a similar prevalence of subjective cognitive decline (10.6% of women versus 11.2% of men). Women and men had nearly equivalent overall population-attributable fractions to explain subjective cognitive decline (39.7% for women versus 41.3% for men). The top three contributing risk factors were social isolation, depression, and hypertension, which explained three-quarters of the overall population-attributable fraction.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>While we did not identify any differences in modifiable factors between men and women contributing to subjective cognitive decline, other factors including reproductive or endocrinological health history or biological factors that interact with sex to modify risk warrant further research.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1186\/s13293-022-00425-3","type":"journal-article","created":{"date-parts":[[2022,4,12]],"date-time":"2022-04-12T02:03:42Z","timestamp":1649729022000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":32,"title":["Overall and sex-specific risk factors for subjective cognitive decline: findings from the 2015\u20132018 Behavioral Risk Factor Surveillance System Survey"],"prefix":"10.1186","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1771-3157","authenticated-orcid":false,"given":"Karen C.","family":"Schliep","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"William A.","family":"Barbeau","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kristine E.","family":"Lynch","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michelle K.","family":"Sorweid","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael W.","family":"Varner","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Norman L.","family":"Foster","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fares","family":"Qeadan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,4,12]]},"reference":[{"issue":"6","key":"425_CR1","doi-asserted-by":"publisher","first-page":"901","DOI":"10.1093\/geront\/gnv130","volume":"55","author":"EM Crimmins","year":"2015","unstructured":"Crimmins EM. 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