Aging and Positive Mood: Longitudinal Neurobiological and Cognitive Correlates |
| |
| Institution: | 1. Department of Psychology (SCAK), Humboldt University of Berlin, Berlin, Germany;2. Department of Psychology and Neuroscience (SCAK), Duke University, Durham, NC;3. Enlightened Myanmar Research Foundation (KMW), Yangon, Myanmar;1. Yale University School of Medicine (MC, HA), New Haven, CT;2. VA Connecticut Healthcare System (MC), West Haven, CT;3. Dell Medical School, The University of Texas at Austin (EG), Austin, TX;4. Johns Hopkins University School of Medicine (SL), Baltimore, MD;5. VA Greater Los Angeles Healthcare System (BY), Los Angeles, CA;6. University of California (BY), UCLA, Los Angeles, CA;1. Northwest Clinical Research Center (SS, SM, AM, AK), Bellevue WA;2. Department of Clinical Medicine (SS, AK), Pacific Northwest University of Health Sciences College of Osteopathic Medicine, Yakima, WA;3. Department of Psychiatry and Behavioral Sciences (AK), Duke University Medical Center, Durham, NC;4. Department of Psychiatry Brown University Providence (WAB), RI;1. Department of Population Health Sciences, University of Utah School of Medicine, Salt Lake City UT;2. Therapeutic Games and Apps Lab, Department of Entertainment Arts and Engineering, University of Utah, Salt Lake City, UT;3. Weill Cornell Institute of Geriatric Psychiatry, White Plains, Salt Lake City, UT;4. Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, China |
| |
| Abstract: | ObjectiveDespite the losses commonly associated with aging, older adults seem to possess particularly preserved emotional regulation. To further understand this phenomenon, the authors examined longitudinal trajectories between age, depressive symptoms, brain structure, and cognition.MethodsSeven hundred and sixteen functionally intact older adults (age M = 67.9, 56.8% female), followed longitudinally (visit range: 1–13, M = 2.5), completed cognitive testing and the Geriatric Depression Scale (GDS). A subset (N = 327) underwent 3T brain MRI. Mixed-effects linear regression models were conducted controlling for sex, education, and total intracranial volume.ResultsThere was a significant interaction between age and time on GDS, such that GDS improved with increasing age over time, but attenuated around age 71 (age*time b = 0.10, p <0.001). Fractional anisotropy (FA) and mean diffusivity interacted with age to predict longitudinal changes in GDS (FA: b = -0.02, p = 0.01; MD: b = 0.03, p = 0.007), such that age-related benefits on GDS were attenuated in those with declining FA. Executive function (EF) and processing speed also interacted with age to predict longitudinal changes in GDS (EF: b = -0.04, p = 0.03; speed: b = 0.04, p = 0.04). Again, the positive effect of age on GDS attenuated in those with worsening EF and speed. There were no associations with memory, semantic fluency, or gray matter (p values >0.05).ConclusionEF, processing speed, and white matter integrity moderated the longitudinal relationship between age and mood. Previous studies demonstrate the link between positivity and better cognitive control, leading to improved mood in older adults. Our results are not only consistent, but establish a potential neurobiological correlate. Future research further exploring biological mechanisms driving psychological processes may have important therapeutic implications. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
