Laura E Korthauer1, Joseph Goveas2, Mark A Espeland3, Sally A Shumaker4, Katelyn R Garcia3, Hilary Tindle5, Elena Salmoirago-Blotcher6, Kaycee M Sink7, Leslie Vaughan8, Stephen R Rapp9, Susan M Resnick10, Ira Driscoll1. 1. Department of Psychology, University of Wisconsin-Milwaukee. 2. Department of Psychiatry and Behavioral Medicine, Medical College of Wisconsin, Milwaukee. 3. Department of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina. 4. Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina. 5. Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee. 6. Department of Medicine, Warren Alpert School of Medicine, Brown University, Providence, Rhode Island. 7. Department of Internal Medicine, Section of Gerontology and Geriatrics, Wake Forest School of Medicine, Winston-Salem, North Carolina. 8. Department of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston-Salem, North Carolina. 9. Department of Psychiatry and Behavioral Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina. 10. Laboratory of Behavioral Neuroscience, Intramural Research Program, National Institute on Aging, NIH, Baltimore, Maryland.
Abstract
Background: Positive affect (PA) and negative affect (NA) reflect subjective emotional experiences. Although related to depression and anxiety, these dimensions are distinct constructs representing affective states and patterns. Prior studies suggest that elevated depressive symptoms are associated with risk of mild cognitive impairment (MCI) and probable dementia, but whether affective states are associated with cognitive impairment is still unknown. The present study examined relationships between baseline affective states and cognitive impairment (MCI, probable dementia) in nondepressed women. Method: Baseline PA and NA were assessed in postmenopausal women (N = 2,137; mean age = 73.8 years) from the Women's Health Initiative Study of Cognitive Aging (WHISCA) using the Positive and Negative Affect Schedule (PANAS). Women were followed annually for an average of 11.3 years; those with elevated depressive symptoms at baseline were excluded. Results: Higher NA was associated with a higher risk of MCI and probable dementia, even after adjusting for important covariates including age, education, sociodemographic, lifestyle, and cardiovascular risk factors, global cognition, and hormone therapy assignment at baseline. PA was not significantly associated with either outcome. Conclusions: We present the first evidence to date that greater NA, even in the absence of elevated depressive symptoms, is associated with higher risk of MCI and dementia. This suggests that NA may be an important, measureable and potentially modifiable risk factor for age-related cognitive decline.
Background: Positive affect (PA) and negative affect (NA) reflect subjective emotional experiences. Although related to depression and anxiety, these dimensions are distinct constructs representing affective states and patterns. Prior studies suggest that elevated depressive symptoms are associated with risk of mild cognitive impairment (MCI) and probable dementia, but whether affective states are associated with cognitive impairment is still unknown. The present study examined relationships between baseline affective states and cognitive impairment (MCI, probable dementia) in nondepressed women. Method: Baseline PA and NA were assessed in postmenopausal women (N = 2,137; mean age = 73.8 years) from the Women's Health Initiative Study of Cognitive Aging (WHISCA) using the Positive and Negative Affect Schedule (PANAS). Women were followed annually for an average of 11.3 years; those with elevated depressive symptoms at baseline were excluded. Results: Higher NA was associated with a higher risk of MCI and probable dementia, even after adjusting for important covariates including age, education, sociodemographic, lifestyle, and cardiovascular risk factors, global cognition, and hormone therapy assignment at baseline. PA was not significantly associated with either outcome. Conclusions: We present the first evidence to date that greater NA, even in the absence of elevated depressive symptoms, is associated with higher risk of MCI and dementia. This suggests that NA may be an important, measureable and potentially modifiable risk factor for age-related cognitive decline.
Authors: Paul R Duberstein; Benjamin P Chapman; Hilary A Tindle; Kaycee M Sink; Patricia Bamonti; John Robbins; Anthony F Jerant; Peter Franks Journal: Psychol Aging Date: 2011-06
Authors: Laura D Baker; Sanjay Asthana; Brenna A Cholerton; Charles W Wilkinson; Stephen R Plymate; Pattie S Green; George R Merriam; Mark A Fishel; G Stennis Watson; Monique M Cherrier; Monica L Kletke; Pankaj D Mehta; Suzanne Craft Journal: Neurobiol Aging Date: 2011-08-19 Impact factor: 4.673
Authors: Deborah E Polk; Sheldon Cohen; William J Doyle; David P Skoner; Clemens Kirschbaum Journal: Psychoneuroendocrinology Date: 2005-04 Impact factor: 4.905
Authors: Antonio Terracciano; Diego Iacono; Richard J O'Brien; Juan C Troncoso; Yang An; Angelina R Sutin; Luigi Ferrucci; Alan B Zonderman; Susan M Resnick Journal: Neurobiol Aging Date: 2012-10-02 Impact factor: 4.673
Authors: J C Morris; A Heyman; R C Mohs; J P Hughes; G van Belle; G Fillenbaum; E D Mellits; C Clark Journal: Neurology Date: 1989-09 Impact factor: 9.910
Authors: Angelina R Sutin; Yannick Stephan; Damaris Aschwanden; Martina Luchetti; Jason E Strickhouser; Antonio Terracciano Journal: J Aging Health Date: 2019-04-29
Authors: Emre Umucu; Beatrice Lee; Mary Wyman; Diane Carol Gooding; Carol Ann Van Hulle; Adrienne Johnson; Carola A Ferrer Simo; Fabu Carter; Hector Salazar; Taryn T James; Shenikqua Bouges; Nicholas H Lambrou; Sterling C Johnson; Sanjay Asthana; Carey E Gleason Journal: Front Aging Neurosci Date: 2022-05-11 Impact factor: 5.702