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Messman BA, Wiley JF, Feldman E, Dietch JR, Taylor DJ, Slavish DC. Irregular sleep is linked to poorer mental health: A pooled analysis of eight studies. Sleep Health 2024:S2352-7218(24)00060-3. [PMID: 38704353 DOI: 10.1016/j.sleh.2024.03.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 03/05/2024] [Accepted: 03/14/2024] [Indexed: 05/06/2024]
Abstract
OBJECTIVES Greater sleep disturbances on average are a risk factor for impaired mental health. Recent research has shown that more intraindividual variability (i.e., inconsistency) in sleep (hereafter called "sleep intraindividual variability") may also be uniquely related to mental health, even above the influence of mean sleep patterns averaged across days. The current study examined associations between sleep intraindividual variability and symptoms of anxiety, depression, and insomnia across different facets of sleep intraindividual variability (sleep duration, efficiency, and timing) and sleep measurement types (sleep diary and actigraphy). METHODS We pooled eight datasets (N = 3053 participants) that assessed repeated measures of sleep diary- and/or actigraphy-determined sleep across multiple days, as well as one-time measures of mental health or sleep disorder symptoms (i.e., anxiety, depression, and insomnia). Multilevel regression analyses were conducted to examine associations between sleep intraindividual variability and mental health or sleep disorder symptoms. RESULTS Greater diary- and actigraphy-determined sleep duration intraindividual variability was associated with more depression symptoms (diary: b=0.02, p < .001; actigraphy: b=0.03, p = .006) and more insomnia symptoms (diary: b=0.02, p < .001; actigraphy: b=0.02, p < .001). Greater diary-determined sleep efficiency intraindividual variability was associated with fewer anxiety symptoms (b=-0.23, p = .019) and fewer insomnia symptoms (b=-0.15, p < .001). Greater diary- and actigraphy-determined sleep midpoint intraindividual variability was associated with more insomnia symptoms (diary: b=0.41, p = .044; actigraphy: b=0.66, p = .021). CONCLUSIONS More inconsistent sleep duration and sleep timing may be a correlate of poorer mental health. Future experimental work should examine whether stabilizing sleep patterns can improve mental health outcomes.
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Affiliation(s)
- Brett A Messman
- Department of Psychology, University of North Texas, Denton, Texas, USA.
| | - Joshua F Wiley
- School of Psychological Sciences, Turner Institute for Brain and Mental Health, Psychological Sciences, Monash University, Melbourne, Victoria, Australia
| | - Emily Feldman
- Department of Psychology, University of North Texas, Denton, Texas, USA
| | - Jessica R Dietch
- School of Psychological Science, Oregon State University, Corvallis, Oregon, USA
| | - Daniel J Taylor
- Department of Psychology, University of Arizona, Tucson, Arizona, USA
| | - Danica C Slavish
- Department of Psychology, University of North Texas, Denton, Texas, USA
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2
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Weisenbach SL, Gregg AP. Evolving Beyond Average: A Commentary on Murai et al. (2024). Cogn Affect Behav Neurosci 2024; 24:349-350. [PMID: 38519645 DOI: 10.3758/s13415-024-01176-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 02/26/2024] [Indexed: 03/25/2024]
Affiliation(s)
- S L Weisenbach
- McLean Hospital, Harvard Medical School, 115 Mill Street, Mail Stop 234, Belmont, MA, 02478-1064, USA.
| | - A P Gregg
- McLean Hospital, Harvard Medical School, 115 Mill Street, Mail Stop 234, Belmont, MA, 02478-1064, USA
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3
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Cerino ES, Charles ST, Piazza JR, Rush J, Looper AM, Witzel DD, Mogle J, Almeida DM. Preserving What Matters: Longitudinal Changes in Control Over Interpersonal Stress and Noninterpersonal Stress in Daily Life. J Gerontol B Psychol Sci Soc Sci 2024; 79:gbae012. [PMID: 38334405 PMCID: PMC10939453 DOI: 10.1093/geronb/gbae012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Indexed: 02/10/2024] Open
Abstract
OBJECTIVES Theoretical perspectives on aging suggest that when people experience declines in later life, they often selectively focus on maintaining aspects of their lives that are most meaningful and important to them. The social domain is one of these selected areas. The current study examines people's reports of control over their daily stressors over 10 years, predicting that the declines in control that are often observed in later life will not be observed for stressors involving interpersonal conflict and tensions with social partners. METHODS Adults ranging from 35 to 86 years old at baseline (N = 1,940), from the National Study of Daily Experiences, reported control over interpersonal and noninterpersonal daily stressors across 8 consecutive days at 2 time points, about 10 years apart. RESULTS Findings from multilevel models indicate that for noninterpersonal stressors, perceived control decreased over time. In contrast, perceived control over interpersonal conflicts and tensions remained robust over time. No cross-sectional baseline age differences were found for levels of interpersonal and noninterpersonal stressor control. DISCUSSION Results are consistent with socioemotional selectivity and underscore the importance of interpersonal relationships in later adulthood. Understanding how people select and preserve certain aspects of control in their daily life can help guide efforts toward maximizing gains and minimizing losses in domains that matter most to people as they grow older.
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Affiliation(s)
- Eric S Cerino
- Department of Psychological Sciences, Northern Arizona University, Flagstaff, Arizona, USA
| | - Susan T Charles
- Department of Psychological Science, University of California Irvine, Irvine, California, USA
| | - Jennifer R Piazza
- Department of Public Health, California State University, Fullerton, Fullerton, California, USA
| | - Jonathan Rush
- Department of Psychology, University of Victoria, Victoria, British Columbia, Canada
| | - Ashley M Looper
- Department of Psychological Sciences, Northern Arizona University, Flagstaff, Arizona, USA
| | - Dakota D Witzel
- Department of Human Development and Family Studies, Pennsylvania State University, State College, Pennsylvania, USA
| | - Jacqueline Mogle
- Department of Psychology, Clemson University, Clemson, South Carolina, USA
| | - David M Almeida
- Department of Human Development and Family Studies, Pennsylvania State University, State College, Pennsylvania, USA
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4
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Beveridge JK, Walker A, Orr SL, Wilson AC, Birnie KA, Noel M. Parent Anxiety, Depression, Protective Responses, and Parenting Stress in the Context of Parent and Child Chronic Pain: A Daily Diary Study of Parent Variability. J Pain 2024:S1526-5900(24)00429-2. [PMID: 38492710 DOI: 10.1016/j.jpain.2024.03.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 03/02/2024] [Accepted: 03/10/2024] [Indexed: 03/18/2024]
Abstract
Parents with (vs without) chronic pain report poorer psychosocial functioning (eg, worse mental health, parenting difficulties), which has been linked to poorer child outcomes (eg, child pain). However, emerging research suggests that individuals vary in their functioning from day-to-day, particularly those with chronic pain. This study used daily diaries to compare parents with (versus without) chronic pain on variability in their anxiety, mood, protective responses, and parenting stress. We also examined parent chronic pain status as a moderator of the associations between parent variability and youth daily pain and interference. Participants were 76 youth with chronic pain (Mage = 14.26; 71.1% female) and one of their parents (89.5% mothers; n = 38 or 50.0% endorsing chronic pain). Parents and youth completed self-report questionnaires and 7 days of diaries. Parent variability was calculated to reflect the frequency and size of day-to-day changes. Multilevel models revealed that parents with (vs without) chronic pain were significantly more variable in their parenting stress, but not in their anxiety, mood, or protective responses. Contrary to hypotheses, parent variability was not significantly related to youth daily pain intensity or interference and parent chronic pain did not moderate any associations. Instead, mean levels of parent anxiety, protective responses, and parenting stress across the week significantly predicted youth daily pain interference. Findings suggest that while variability was observed among parents (with and without chronic pain) of youth with chronic pain, it did not significantly predict youth's daily pain-related functioning. Further research is needed to confirm these initial findings. PERSPECTIVE: Parents with chronic pain have expressed concerns that the variable nature of their pain negatively impacts their children. Our results found that parents (with and without chronic pain) were variable in their anxiety, mood, protective responses, and parenting stress, but this variability did not significantly predict youth's chronic pain-related functioning.
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Affiliation(s)
| | - Andrew Walker
- Department of Anesthesiology, Perioperative, and Pain Medicine, University of Calgary, Alberta, Canada
| | - Serena L Orr
- Department of Psychology, University of Calgary, Alberta, Canada; Alberta Children's Hospital Research Institute, Alberta, Canada; Department of Community Health Sciences, University of Calgary, Alberta, Canada; Departments of Pediatrics and Clinical Neurosciences, University of Calgary, Alberta, Canada
| | - Anna C Wilson
- Department of Pediatrics, Institute on Development and Disability, Oregon Health & Science University, Oregon
| | - Kathryn A Birnie
- Department of Psychology, University of Calgary, Alberta, Canada; Department of Anesthesiology, Perioperative, and Pain Medicine, University of Calgary, Alberta, Canada; Alberta Children's Hospital Research Institute, Alberta, Canada; Department of Community Health Sciences, University of Calgary, Alberta, Canada
| | - Melanie Noel
- Department of Psychology, University of Calgary, Alberta, Canada; Alberta Children's Hospital Research Institute, Alberta, Canada
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5
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Messman BA, Compton SE, Majeed I, Weiss NH, Contractor AA. Beyond the mean: examining associations between intraindividual variability in posttraumatic stress disorder symptoms and posttrauma reckless behaviors. Anxiety Stress Coping 2024:1-17. [PMID: 38268223 DOI: 10.1080/10615806.2024.2307465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 01/14/2024] [Indexed: 01/26/2024]
Abstract
BACKGROUND/OBJECTIVES Posttrauma reckless behaviors have been linked to the onset and exacerbation of posttraumatic stress disorder (PTSD) symptoms. However, PTSD symptoms fluctuate across time, triggered by environmental stimuli in daily life, referred to as (intraindividual) variability in PTSD symptoms. DESIGN We utilized experience sampling methods to investigate associations between engagement in posttrauma reckless behaviors and variability in PTSD symptoms and the moderating role of emotion dysregulation in this association. METHODS Data from 166 trauma-exposed university students (Mage = 21.43 ± 5.07, 85.4% women) were collected between January 2019 to August 2020. Participants completed baseline and follow-up surveys to assess engagement in posttrauma reckless behaviors and daily surveys (10-days) to assess variability in PTSD symptoms. Results. Analyzes indicated greater baseline engagement in posttrauma reckless behaviors was associated with greater 10-day variability in PTSD symptoms (β = 0.23, p = .031), and baseline emotion dysregulation moderated this association (β = -0.33, p = .003). Additionally, greater 10-day variability in PTSD symptoms was associated with greater follow-up engagement in posttrauma reckless behaviors (β = 0.14, p = .045). CONCLUSIONS Findings substantiate the interplay between engagement in posttrauma reckless behaviors and daily fluctuations in PTSD symptoms and support therapeutically targeting both engagement in posttrauma reckless behaviors and emotion dysregulation to impact PTSD symptoms.
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Affiliation(s)
- Brett A Messman
- Department of Psychology, University of North Texas, Denton, TX, USA
| | - Sidonia E Compton
- Department of Psychology, University of North Texas, Denton, TX, USA
| | - Ifrah Majeed
- Department of Psychology, University of North Texas, Denton, TX, USA
| | - Nicole H Weiss
- Department of Psychology, University of Rhode Island, Kingston, RI, USA
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Boen R, Kaufmann T, van der Meer D, Frei O, Agartz I, Ames D, Andersson M, Armstrong NJ, Artiges E, Atkins JR, Bauer J, Benedetti F, Boomsma DI, Brodaty H, Brosch K, Buckner RL, Cairns MJ, Calhoun V, Caspers S, Cichon S, Corvin AP, Crespo-Facorro B, Dannlowski U, David FS, de Geus EJC, de Zubicaray GI, Desrivières S, Doherty JL, Donohoe G, Ehrlich S, Eising E, Espeseth T, Fisher SE, Forstner AJ, Fortaner-Uyà L, Frouin V, Fukunaga M, Ge T, Glahn DC, Goltermann J, Grabe HJ, Green MJ, Groenewold NA, Grotegerd D, Grøntvedt GR, Hahn T, Hashimoto R, Hehir-Kwa JY, Henskens FA, Holmes AJ, Håberg AK, Haavik J, Jacquemont S, Jansen A, Jockwitz C, Jönsson EG, Kikuchi M, Kircher T, Kumar K, Le Hellard S, Leu C, Linden DE, Liu J, Loughnan R, Mather KA, McMahon KL, McRae AF, Medland SE, Meinert S, Moreau CA, Morris DW, Mowry BJ, Mühleisen TW, Nenadić I, Nöthen MM, Nyberg L, Ophoff RA, Owen MJ, Pantelis C, Paolini M, Paus T, Pausova Z, Persson K, Quidé Y, Marques TR, Sachdev PS, Sando SB, Schall U, Scott RJ, Selbæk G, Shumskaya E, Silva AI, Sisodiya SM, Stein F, Stein DJ, Straube B, Streit F, Strike LT, Teumer A, Teutenberg L, Thalamuthu A, Tooney PA, Tordesillas-Gutierrez D, Trollor JN, van 't Ent D, van den Bree MBM, van Haren NEM, Vázquez-Bourgon J, Völzke H, Wen W, Wittfeld K, Ching CRK, Westlye LT, Thompson PM, Bearden CE, Selmer KK, Alnæs D, Andreassen OA, Sønderby IE. Beyond the Global Brain Differences: Intraindividual Variability Differences in 1q21.1 Distal and 15q11.2 BP1-BP2 Deletion Carriers. Biol Psychiatry 2024; 95:147-160. [PMID: 37661008 PMCID: PMC7615370 DOI: 10.1016/j.biopsych.2023.08.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 07/25/2023] [Accepted: 08/21/2023] [Indexed: 09/05/2023]
Abstract
BACKGROUND Carriers of the 1q21.1 distal and 15q11.2 BP1-BP2 copy number variants exhibit regional and global brain differences compared with noncarriers. However, interpreting regional differences is challenging if a global difference drives the regional brain differences. Intraindividual variability measures can be used to test for regional differences beyond global differences in brain structure. METHODS Magnetic resonance imaging data were used to obtain regional brain values for 1q21.1 distal deletion (n = 30) and duplication (n = 27) and 15q11.2 BP1-BP2 deletion (n = 170) and duplication (n = 243) carriers and matched noncarriers (n = 2350). Regional intra-deviation scores, i.e., the standardized difference between an individual's regional difference and global difference, were used to test for regional differences that diverge from the global difference. RESULTS For the 1q21.1 distal deletion carriers, cortical surface area for regions in the medial visual cortex, posterior cingulate, and temporal pole differed less and regions in the prefrontal and superior temporal cortex differed more than the global difference in cortical surface area. For the 15q11.2 BP1-BP2 deletion carriers, cortical thickness in regions in the medial visual cortex, auditory cortex, and temporal pole differed less and the prefrontal and somatosensory cortex differed more than the global difference in cortical thickness. CONCLUSIONS We find evidence for regional effects beyond differences in global brain measures in 1q21.1 distal and 15q11.2 BP1-BP2 copy number variants. The results provide new insight into brain profiling of the 1q21.1 distal and 15q11.2 BP1-BP2 copy number variants, with the potential to increase understanding of the mechanisms involved in altered neurodevelopment.
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Affiliation(s)
- Rune Boen
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway; Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
| | - Tobias Kaufmann
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University of Tübingen, Germany; German Center for Mental Health (DZPG), partner site Tübingen, Tübingen, Germany
| | - Dennis van der Meer
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway; School of Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands
| | - Oleksandr Frei
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Centre for Bioinformatics, Department of Informatics, University of Oslo, Oslo, Norway
| | - Ingrid Agartz
- Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Clinical Research, Diakonhjemmet Hospital, Oslo, Norway; Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet and Stockholm Health Care Services, Stockholm, Sweden
| | - David Ames
- University of Melbourne Academic Unit for Psychiatry of Old Age, St George's Hospital, Kew, Victoria, Australia; National Ageing Research Institute, Parkville, Victoria, Australia
| | - Micael Andersson
- Department of Integrative Medical Biology and Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
| | - Nicola J Armstrong
- Department of Mathematics and Statistics, Curtin University, Perth, Western Australia, Australia
| | - Eric Artiges
- Institut National de la Santé et de la Recherche Médicale U1299, École Normale Supérieure Paris-Saclay, Université Paris Saclay, Gif-sur-Yvette, France; Établissement public de santé (EPS) Barthélemy Durand, Etampes, France
| | - Joshua R Atkins
- School of Biomedical Sciences and Pharmacy, College of Medicine, Health and Wellbeing, University of Newcastle, Callaghan, New South Wales, Australia; Precision Medicine Research Program, Hunter Medical Research Institute, Newcastle, New South Wales, Australia; Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Jochen Bauer
- University Clinic for Radiology, University of Münster, Münster, Germany
| | - Francesco Benedetti
- Psychiatry and Clinical Psychobiology Unit, Division of Neuroscience, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) San Raffaele Scientific Institute, Milan, Italy; Division of Neuroscience, Psychiatry and Clinical Psychobiology Unit, Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele Scientific Institute, Milan, Italy
| | - Dorret I Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Henry Brodaty
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Katharina Brosch
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Randy L Buckner
- Department of Psychology and Center for Brain Science, Harvard University, Cambridge, Massachusetts; Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
| | - Murray J Cairns
- School of Biomedical Sciences and Pharmacy, College of Medicine, Health and Wellbeing, University of Newcastle, Callaghan, New South Wales, Australia; Precision Medicine Research Program, Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - Vince Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University/Georgia Institute of Technology/Emory University, Atlanta, Georgia
| | - Svenja Caspers
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany; Institute for Anatomy I, Medical Faculty & University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Sven Cichon
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany; Department of Biomedicine, University of Basel, Basel, Switzerland; University Hospital Basel, Institute of Medical Genetics and Pathology, Basel, Switzerland
| | - Aiden P Corvin
- Department of Psychiatry, Trinity College Dublin, Dublin, Ireland
| | - Benedicto Crespo-Facorro
- Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/Centro superior de investigaciones científicas (CSIC), Sevilla, Spain; Centro de Investigación Biomédica en Red Salud Mental, Sevilla, Spain; Department of Psychiatry, University of Sevilla, Sevilla, Spain
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Friederike S David
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
| | - Eco J C de Geus
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Greig I de Zubicaray
- School of Psychology and Counselling, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Sylvane Desrivières
- Social Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Joanne L Doherty
- Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom; Cardiff University Brain Research Imaging Centre, School of Psychology, Cardiff University, Cardiff, United Kingdom
| | - Gary Donohoe
- School of Psychology and Center for Neuroimaging, Cognition and Genomics, University of Galway, Galway, Ireland
| | - Stefan Ehrlich
- Translational Developmental Neuroscience Section, Division of Psychological and Social Medicine and Developmental Neurosciences, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Else Eising
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands
| | - Thomas Espeseth
- Department of Psychology, University of Oslo, Oslo, Norway; Department of Psychology, Oslo New University College, Oslo, Norway
| | - Simon E Fisher
- Language and Genetics Department, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands; Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Andreas J Forstner
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany; Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
| | - Lidia Fortaner-Uyà
- Psychiatry and Clinical Psychobiology Unit, Division of Neuroscience, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) San Raffaele Scientific Institute, Milan, Italy; Division of Neuroscience, Psychiatry and Clinical Psychobiology Unit, Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele Scientific Institute, Milan, Italy
| | - Vincent Frouin
- Neurospin, Commissariat a l'Energie Atomique (CEA), Université Paris-Saclay, Gif-sur-Yvette, France
| | - Masaki Fukunaga
- Section of Brain Function Information, National Institute for Physiological Sciences, Okazaki, Japan
| | - Tian Ge
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts; Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - David C Glahn
- Department of Psychiatry and Behavioral Sciences, Boston Children's Hospital, Boston, Massachusetts; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts
| | - Janik Goltermann
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Melissa J Green
- Discipline of Psychiatry and Mental Health, School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia; Neuroscience Research Australia, Sydney, New South Wales, Australia
| | - Nynke A Groenewold
- Department of Psychiatry and Mental Health, Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Dominik Grotegerd
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Gøril Rolfseng Grøntvedt
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway; Department of Neurology and Clinical Neurophysiology, University Hospital of Trondheim, Trondheim, Norway
| | - Tim Hahn
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Ryota Hashimoto
- Department of Pathology of Mental Diseases, National Institute of Mental Health, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan
| | - Jayne Y Hehir-Kwa
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
| | - Frans A Henskens
- School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales, Australia; Priority Research Centre for Health Behaviour, University of Newcastle, Newcastle, New South Wales, Australia
| | - Avram J Holmes
- Department of Psychiatry, Rutgers University, New Brunswick, New Jersey; Brain Health Institute, Rutgers University, Piscataway, New Jersey
| | - Asta K Håberg
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway; Department of Radiology and Nuclear Medicine, St. Olav's Hospital, Trondheim, Norway
| | - Jan Haavik
- Department of Biomedicine, University of Bergen, Bergen, Norway; Division of Psychiatry, Haukeland University Hospital, Bergen, Norway
| | - Sebastien Jacquemont
- Sainte Justine Hospital Research Center, Montreal, Quebec, Canada; Department of Pediatrics, University of Montreal, Montreal, Quebec, Canada
| | - Andreas Jansen
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany; Core-Facility Brainimaging and Department of Psychiatry, Faculty of Medicine, Philipps-University Marburg, Marburg, Germany
| | - Christiane Jockwitz
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany; Institute for Anatomy I, Medical Faculty & University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Erik G Jönsson
- Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet and Stockholm Health Care Services, Stockholm Region, Stockholm, Sweden
| | - Masataka Kikuchi
- Department of Genome Informatics, Graduate School of Medicine, Osaka University, Osaka, Japan; Department of Computational Biology and Medical Sciences, Graduate School of Frontier Science, The University of Tokyo, Chiba, Japan
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Kuldeep Kumar
- Sainte Justine Hospital Research Center, Montreal, Quebec, Canada
| | - Stephanie Le Hellard
- Norwegian Centre for Mental Disorders Research, Department of Clinical Science, University of Bergen, Bergen, Norway; Dr. Einar Martens Research Group for Biological Psychiatry, Center for Medical Genetics and Molecular Medicine, Haukeland University Hospital, Bergen, Norway
| | - Costin Leu
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom; Department of Neurology, McGovern Medical School, UTHealth Houston, Houston, Texas
| | - David E Linden
- Neuroscience and Mental Health Innovation Institute, Cardiff University, Cardiff, United Kingdom; School for Mental Health and Neuroscience, Department of Psychiatry and Neuropsychology, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands
| | - Jingyu Liu
- Department of Computer Science and Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Atlanta, Georgia
| | - Robert Loughnan
- Department of Cognitive Science and Population Neuroscience and Genetics Lab, University of California San Diego, La Jolla, California
| | - Karen A Mather
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Katie L McMahon
- School of Clinical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Allan F McRae
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia
| | - Sarah E Medland
- Psychiatric Genetics, Queensland Institute of Medical Research (QIMR) Berghofer Medical Research Institute, Brisbane, Queensland, Australia; University of Queensland, Brisbane, Queensland, Australia; Queensland University of Technology, Brisbane, Queensland, Australia
| | - Susanne Meinert
- Institute for Translational Psychiatry, University of Münster, Münster, Germany; Institute for Translational Neuroscience, University of Münster, Münster, Germany
| | - Clara A Moreau
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey, California
| | - Derek W Morris
- Centre for Neuroimaging, Cognition and Genomics, School of Biological and Chemical Sciences, University of Galway, Galway, Ireland
| | - Bryan J Mowry
- Queensland Brain Institute and Queensland Centre for Mental Health Research, University of Queensland, Brisbane, Queensland, Australia
| | - Thomas W Mühleisen
- Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany; Institute for Anatomy I, Medical Faculty & University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany; Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Markus M Nöthen
- Institute of Human Genetics, University of Bonn, School of Medicine and University Hospital Bonn, Bonn, Germany
| | - Lars Nyberg
- Departments of Radiation Sciences, Integrative Medical Biology and Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
| | - Roel A Ophoff
- Department of Psychiatry, Erasmus University Medical Center, Rotterdam, the Netherlands; Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and Psychology, University of California Los Angeles, Los Angeles, California
| | - Michael J Owen
- Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom; Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, United Kingdom
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne, Carlton South, Victoria, Australia; Western Centre for Health Research and Education, Sunshine Hospital, St Albans, Victoria, Australia
| | - Marco Paolini
- Psychiatry and Clinical Psychobiology Unit, Division of Neuroscience, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) San Raffaele Scientific Institute, Milan, Italy; Division of Neuroscience, Psychiatry and Clinical Psychobiology Unit, Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele Scientific Institute, Milan, Italy
| | - Tomas Paus
- Departments of Psychiatry and Neuroscience, Faculty of Medicine and Sainte Justine Hospital Research Center, University of Montreal, Montreal, Quebec, Canada; Departments of Psychiatry and Psychology, University of Toronto, Toronto, Ontario, Canada
| | - Zdenka Pausova
- The Hospital for Sick Children, Toronto, Ontario, Canada; Department of Physiology, University of Toronto, Toronto, Ontario, Canada
| | - Karin Persson
- Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway; Norwegian National Centre for Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway
| | - Yann Quidé
- Neuroscience Research Australia, Sydney, New South Wales, Australia; School of Psychology, University of New South Wales, Sydney, New South Wales, Australia
| | - Tiago Reis Marques
- Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Perminder S Sachdev
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia; Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, New South Wales, Australia
| | - Sigrid B Sando
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway; Department of Neurology and Clinical Neurophysiology, University Hospital of Trondheim, Trondheim, Norway
| | - Ulrich Schall
- Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - Rodney J Scott
- School of Biomedical Sciences and Pharmacy, College of Medicine, Health and Wellbeing, University of Newcastle, Callaghan, New South Wales, Australia; Hunter Medical Research Institute, Newcastle, New South Wales, Australia; Division of Molecular Medicine, New South Wales Health Pathology, Newcastle, New South Wales, Australia
| | - Geir Selbæk
- Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway; Norwegian National Centre for Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway; Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Elena Shumskaya
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands; Department of Human Genetics, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Ana I Silva
- Neuroscience and Mental Health Innovation Institute, Cardiff University, Cardiff, United Kingdom
| | - Sanjay M Sisodiya
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom; Chalfont Centre for Epilepsy, Chalfont St Peter, United Kingdom
| | - Frederike Stein
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Dan J Stein
- SA MRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Benjamin Straube
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Lachlan T Strike
- Psychiatric Genetics, Queensland Institute of Medical Research (QIMR) Berghofer Medical Research Institute, Brisbane, Queensland, Australia; School of Psychology and Counselling, Faculty of Health, Queensland University of Technology, Brisbane, Australia
| | - Alexander Teumer
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany; Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany; German Centre for Cardiovascular Research, Greifswald, Germany
| | - Lea Teutenberg
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Anbupalam Thalamuthu
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Paul A Tooney
- School of Biomedical Sciences and Pharmacy, College of Medicine, Health and Wellbeing, University of Newcastle, Callaghan, New South Wales, Australia; Hunter Medical Research Institute, Newcastle, New South Wales, Australia
| | - Diana Tordesillas-Gutierrez
- Instituto de Física de Cantabria UC-CSIC, Santander, Spain; Department of Radiology, Marqués de Valdecilla University Hospital, Valdecilla Biomedical Research Institute, Instituto de Investigación Sanitaria Valdecilla, Santander, Spain
| | - Julian N Trollor
- Department of Developmental Disability Neuropsychiatry and Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Dennis van 't Ent
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Marianne B M van den Bree
- Institute of Psychological Medicine and Clinical Neurosciences and Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom; Institute for Translational Neuroscience, University of Münster, Münster, Germany
| | - Neeltje E M van Haren
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Centre, Rotterdam, the Netherlands; Department of Psychiatry, University Medical Centre Utrecht, Utrecht, the Netherlands
| | - Javier Vázquez-Bourgon
- Centro de Investigación Biomédica en Red Salud Mental, Sevilla, Spain; Department of Psychiatry, University Hospital Maqués de Valdecilla, Instituto de Investigación Sanitaria Valdecilla, Santander, Spain; Departamento de Medicina y Psiquiatría, Universidad de Cantabria, Santander, Spain
| | - Henry Völzke
- German Centre for Cardiovascular Research, Greifswald, Germany; Greifswald University Hospital, Greifswald, Germany
| | - Wei Wen
- Centre for Healthy Brain Ageing, School of Clinical Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Katharina Wittfeld
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Christopher R K Ching
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey, California
| | - Lars T Westlye
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway; KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
| | - Paul M Thompson
- Imaging Genetics Center, Mark and Mary Stevens Institute for Neuroimaging and Informatics, Keck School of Medicine, University of Southern California, Marina del Rey, California
| | - Carrie E Bearden
- Semel Institute for Neuroscience and Human Behavior, Departments of Psychiatry and Biobehavioral Sciences and Psychology, University of California Los Angeles, Los Angeles, California
| | - Kaja K Selmer
- Department of Research and Innovation, Division of Clinical Neuroscience, Oslo University Hospital and the University of Oslo, Oslo, Norway
| | - Dag Alnæs
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Kristiania University College, Oslo, Norway
| | - Ole A Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Norwegian Centre for Mental Disorders Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
| | - Ida E Sønderby
- Department of Medical Genetics, Oslo University Hospital, Oslo, Norway; Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway; KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
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7
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Rocklin ML, Garròn Torres AA, Reeves B, Robinson TN, Ram N. The Affective Dynamics of Everyday Digital Life: Opening Computational Possibility. Affect Sci 2023; 4:529-540. [PMID: 37744988 PMCID: PMC10514010 DOI: 10.1007/s42761-023-00202-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 07/12/2023] [Indexed: 09/26/2023]
Abstract
Up to now, there was no way to observe and track the affective impacts of the massive amount of complex visual stimuli that people encounter "in the wild" during their many hours of digital life. In this paper, we propose and illustrate how recent advances in AI-trained ensembles of deep neural networks-can be deployed on new data streams that are long sequences of screenshots of study participants' smartphones obtained unobtrusively during everyday life. We obtained affective valence and arousal ratings of hundreds of images drawn from existing picture repositories often used in psychological studies, and a new screenshot repository chronicling individuals' everyday digital life from both N = 832 adults and an affect computation model (Parry & Vuong, 2021). Results and analysis suggest that (a) our sample rates images similarly to other samples used in psychological studies, (b) the affect computation model is able to assign valence and arousal ratings similarly to humans, and (c) the resulting computational pipeline can be deployed at scale to obtain detailed maps of the affective space individuals travel through on their smartphones. Leveraging innovative methods for tracking the emotional content individuals encounter on their smartphones, we open the possibility for large-scale studies of how the affective dynamics of everyday digital life shape individuals' moment-to-moment experiences and well-being. Supplementary Information The online version contains supplementary material available at 10.1007/s42761-023-00202-4.
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Affiliation(s)
- Maia L. Rocklin
- Department of Psychology, Stanford University, Stanford, CA 94305 USA
| | | | - Byron Reeves
- Department of Communication, Stanford University, Stanford, 300-A Building 120, 450 Jane Stanford Way, Stanford, CA 94305 USA
| | - Thomas N. Robinson
- Department of Pediatrics, Stanford University, Stanford, CA 94305 USA
- Department of Medicine, Stanford University, Stanford, CA 94305 USA
| | - Nilam Ram
- Department of Psychology, Stanford University, Stanford, CA 94305 USA
- Department of Communication, Stanford University, Stanford, 300-A Building 120, 450 Jane Stanford Way, Stanford, CA 94305 USA
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8
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Kleppe MM, Kessler U, Rekkedal GÅ, Skjåkødegård HF, Danielsen YS. Differences in sleep patterns between patients with anorexia nervosa and healthy controls: a cross-sectional study. J Eat Disord 2023; 11:76. [PMID: 37194104 DOI: 10.1186/s40337-023-00799-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 04/26/2023] [Indexed: 05/18/2023] Open
Abstract
BACKGROUND Sleep difficulties are common in patients with anorexia nervosa (AN), but objective assessments have mostly been performed in hospital and laboratory settings. We aimed to identify differences in sleep patterns between patients with AN and healthy controls (HC) in their free-living environments, and potential associations between sleep patterns and clinical symptoms in patients with AN. METHODS This cross-sectional study analyzed 20 patients with AN prior to them starting outpatient treatment and 23 HC. Sleep patterns were measured objectively using an accelerometer (Philips Actiwatch 2) for 7 consecutive days. Average sleep onset, sleep offset, total sleep time, sleep efficiency, wake after sleep onset (WASO) and mid-sleep awakenings lasting ≥ 5 min were compared between patients with AN and HC using nonparametric statistical analyses. Associations of sleep patterns with body mass index, eating-disorder symptoms, eating-disorder-associated impairment, and symptoms of depression were assessed in the patient group. RESULTS Compared with HC, patients with AN had shorter WASO [median (interquartile range(IQR)): 33 vs. 42 min], but a longer average duration of mid-sleep awakenings lasting ≥ 5 min [median (IQR): 9 vs. 6 min, p = 0.006] and had more nights with no sleep (six nights in four patients with AN vs. zero nights in HC). There were no differences between patients with AN and HC regarding other sleep parameters and no significant correlations between sleep patterns and clinical parameters in patients with AN. However, HC presented a Intraindividual variability pattern that was closer to a normal distribution, whereas patients with AN tended to either have very regular or large variability in sleep onset time (AN; n = 7 < 25th percentile and n = 8 > 75th percentile vs. HC; n = 4 < 25 percentile and n = 3 > 75th percentile) during the week of sleep recordings. CONCLUSION Patients with AN seem to spend more time awake during the night and have more nights without sleep than do HC, even though their average weekly sleep duration did not differ from that in HC. The intraindividual variability in sleep pattern seems to be an important parameter that should be assessed when studying sleep in patients with AN. Trial registration ClinicalTroals.gov. Identifier: NCT02745067. Registered: April 20, 2016.
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Affiliation(s)
- Malin Mandelid Kleppe
- Department of Psychiatry, Haukeland University Hospital, Bergen, Norway.
- Department of Medicine, Haukeland University Hospital, Bergen, Norway.
| | - Ute Kessler
- Department of Psychiatry, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Guro Årdal Rekkedal
- Department of Clinical Psychology, University of Bergen, Bergen, Norway
- Child and Family support, Municipality of Bergen, Bergen, Norway
| | - Hanna Flækøy Skjåkødegård
- Department of Clinical Science, University of Bergen, Bergen, Norway
- Children and Youth Clinic, Haukeland University Hospital, Bergen, Norway
- Department of Physiotherapy, Haukeland University Hospital, Bergen, Norway
| | - Yngvild Sørebø Danielsen
- Department of Psychiatry, Haukeland University Hospital, Bergen, Norway.
- Department of Clinical Psychology, University of Bergen, Bergen, Norway.
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9
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Bauer LO. Intraindividual variability in brain activation-A novel correlate of obesity risk among female college students. Brain Cogn 2023; 168:105985. [PMID: 37084591 PMCID: PMC10175168 DOI: 10.1016/j.bandc.2023.105985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 04/04/2023] [Accepted: 04/11/2023] [Indexed: 04/23/2023]
Abstract
There are published data describing impairments in the brain function of adolescents or young adults who have a genetic or familial predisposition for obesity. From these descriptions, it is often assumed that the impairments are appropriately captured by a central tendency estimate and therefore consistently detectable. The present study questions this assumption and shows that the variability in brain function over the time course of a cognitive task is a better predictor of familial risk than its central tendency. Sixty-nine female young adults lacking an obese parent and 24 female young adults with an obese parent were compared on the average amplitude and inter-trial variability (ITV) in amplitude of their P300 electroencephalographic responses to rarely-occurring stimuli during a selective attention task. Simple group comparisons revealed statistically significant findings with effect sizes that were markedly greater for analyses of P300 ITV versus P300 average amplitude. It is suggested that the elevation in P300 ITV among young adults with familial risk indicates temporal instability in systems responsible for the maintenance of attention. These fluctuations may episodically disrupt their attention to satiety cues as well as other cues that influence behavior regulation.
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Affiliation(s)
- Lance O Bauer
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT 06030-1410, USA.
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Galeano-Keiner EM, Pakzad S, Brod G, Bunge SA. Examining the role of attentional allocation in working memory precision with pupillometry in children and adults. J Exp Child Psychol 2023; 231:105655. [PMID: 36863172 DOI: 10.1016/j.jecp.2023.105655] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 02/02/2023] [Accepted: 02/06/2023] [Indexed: 03/04/2023]
Abstract
Working memory (WM) precision, or the fidelity with which items can be remembered, is an important aspect of WM capacity that increases over childhood. Why individuals are more or less precise from moment to moment and why WM becomes more stable with age are not yet fully understood. Here, we examined the role of attentional allocation in visual WM precision in children aged 8 to 13 years and young adults aged 18 to 27 years, as measured by fluctuations in pupil dilation during stimulus encoding and maintenance. Using mixed models, we examined intraindividual links between change in pupil diameter and WM precision across trials and the role of developmental differences in these associations. Through probabilistic modeling of error distributions and the inclusion of a visuomotor control task, we isolated mnemonic precision from other cognitive processes. We found an age-related increase in mnemonic precision that was independent of guessing behavior, serial position effects, fatigue or loss of motivation across the experiment, and visuomotor processes. Trial-by-trial analyses showed that trials with smaller changes in pupil diameter during encoding and maintenance predicted more precise responses than trials with larger changes in pupil diameter within individuals. At encoding, this relationship was stronger for older participants. Furthermore, the pupil-performance coupling grew across the delay period-particularly or exclusively for adults. These results suggest a functional link between pupil fluctuations and WM precision that grows over development; visual details may be stored more faithfully when attention is allocated efficiently to a sequence of objects at encoding and throughout a delay period.
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11
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Bauer LO. Altered brain activation in uncomplicated pediatric obesity: The second moment is more sensitive than the first. Brain Cogn 2022; 164:105923. [PMID: 36274388 PMCID: PMC10083723 DOI: 10.1016/j.bandc.2022.105923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 10/06/2022] [Accepted: 10/10/2022] [Indexed: 11/24/2022]
Abstract
Traditionally, studies of the neurocognitive correlates of obesity have computed a central tendency across trials of a task to estimate the functional abilities of individual members of obese and non-obese groups. This computation assumes that the correlate is stable over time-a questionable assumption when individuals are impulsive, periodically inattentive, and capable of overcompensation following awareness of failure. The present investigation departs from the tradition by focusing on the second moment, or variability, in brain activation during a simple selective attention task. It compared 124 non-obese and 80 obese teenaged girls on the across-trial average amplitude and inter-trial variability (ITV) of a sensitive biomarker of attention, the P300 event-related electroencephalographic potential. It found that P300 ITV outperformed P300 average amplitude in differentiating the groups. Further, it found that the elevated P300 ITV among obese teenagers was associated with other indicators of impulsivity and inattention as well as slower reaction times and a trend toward more variable reaction times. Future studies should investigate the value of P300 ITV as an objective and sensitive endpoint for cognitive training focused on improving the attention skills of obese children.
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Affiliation(s)
- Lance O Bauer
- Department of Psychiatry, University of Connecticut School of Medicine, Farmington, CT 06030-1410, USA
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12
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Schick MR, Slavish DC, Dietch JR, Witcraft SM, Simmons RO, Taylor DJ, Smith JP, Book SW, McRae-Clark AL, Wilkerson AK. A preliminary investigation of the role of intraindividual sleep variability in substance use treatment outcomes. Addict Behav 2022; 131:107315. [PMID: 35364397 DOI: 10.1016/j.addbeh.2022.107315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Revised: 03/16/2022] [Accepted: 03/23/2022] [Indexed: 11/21/2022]
Abstract
INTRODUCTION Poor sleep health is common among individuals in early treatment for substance use disorders (SUDs) and may serve an important role in predicting SUD outcomes. However, sleep parameters have been inconsistently linked with risk of relapse, perhaps because previous research has focused on mean values of sleep parameters (e.g., total sleep time [TST], sleep efficiency [SE], and sleep midpoint [SM]) across multiple nights rather than night-to-night fluctuations (i.e., intraindividual variability [IIV]). The current study assessed sleep across the first week of SUD treatment, with the aim of prospectively examining the relationship between mean and IIV of TST, SE, and SM and treatment completion and relapse within one-month post-treatment. METHODS Treatment-seeking adults (N = 23, Mage = 40.1, 39% female) wore an actigraph to assess sleep for one week at the beginning of an intensive outpatient program treatment. Electronic medical record and follow-up interviews were utilized to determine treatment outcomes. RESULTS Greater IIV in TST was associated with higher odds of relapse (OR = 3.55, p =.028). Greater IIV in SM was associated with lower odds of treatment completion, but only when removing mean SM from the model (OR = 0.75, p =.046). DISCUSSION Night-to-night variability in actigraphy-measured TST is more strongly associated with SUD treatment outcomes than average sleep patterns across the week. Integrating circadian regulation into treatment efforts to improve SUD treatment outcomes may be warranted. Given the small sample size utilized in the present study, replication of these analyses with a larger sample is warranted.
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Nielsen KE, Mejía ST, Gonzalez R. Deviations from typical paths: a novel approach to working with GPS data in the behavioral sciences. Int J Health Geogr 2022; 21:5. [PMID: 35717204 PMCID: PMC9206293 DOI: 10.1186/s12942-022-00305-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Accepted: 03/30/2022] [Indexed: 11/10/2022] Open
Abstract
Background Behavioral science researchers are increasingly collecting detailed location data such as second-by-second GPS tracking on participants due to increased ease and affordability. While intraindividual variability has been discussed in the travel literature for decades, traditional methods designed for studying individual differences in central tendencies limit the extent to which novel questions about variability in lived experiences can be answered. Thus, new methods of quantifying behavior that focus on intraindividual variability are needed to address the context in which the behavior occurs and the location tracking data from which behavior is derived. Methods We propose deviations from typical paths as a data processing technique to separate individual-level typical travel behavior from a location tracking data set in order to highlight atypical travel behavior as an outcome measure. Results A simulated data example shows how the method works to produce deviation measures from a location dataset. Analysis of these deviations offers additional insights compared to traditional measures of maximum daily distance from home. Conclusions This process can be integrated into larger research questions to explore predictors of atypical behavior and potential mechanisms of behavior change. Supplementary Information The online version contains supplementary material available at 10.1186/s12942-022-00305-4.
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Affiliation(s)
- Karen E Nielsen
- Department of Population Health Sciences, School of Public Health, Georgia State University, 140 Decatur St. Suite 400, Atlanta, GA, 30303, USA.
| | - Shannon T Mejía
- Department of Kinesiology and Community Health, College of Applied Health Sciences, University of Illinois at Urbana-Champaign, 906 S. Goodwin Ave., Urbana, IL, 61801, USA
| | - Richard Gonzalez
- Department of Psychology and Research Center for Group Dynamics, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
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14
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Bredeli E, Vestergaard CL, Sivertsen B, Kallestad H, Øverland S, Ritterband LM, Glozier N, Pallesen S, Scott J, Langsrud K, Vedaa Ø. Intraindividual variability in sleep among people with insomnia and its relationship with sleep, health and lifestyle factors: an exploratory study. Sleep Med 2021; 89:132-140. [PMID: 34979451 DOI: 10.1016/j.sleep.2021.12.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2021] [Revised: 11/08/2021] [Accepted: 12/12/2021] [Indexed: 11/18/2022]
Abstract
OBJECTIVE To explore associations between intraindividual variability (IIV) in sleep patterns and sleep problems, lifestyle factors, and mental and physical health in individuals with chronic insomnia. METHODS Cross-sectional study of 1720 adults with chronic insomnia (67.8% female, mean age = 44.5) who completed online self-report questionnaires and kept a sleep diary (for at least 10 out of 14 days). Linear regression analyses examined IIV in sleep patterns as independent variables, and sleep problems, lifestyle factors, and mental and physical health outcomes as dependent variables. Analysis of each sleep variable was separately adjusted for the mean value of the corresponding variable and for selected background factors. RESULTS IIV in sleep variables was significantly and positively associated with scores on the Insomnia Severity Index (ISI), dysfunctional beliefs and attitudes about sleep (DBAS-16), the Chalder Fatigue Scale (CFQ), body mass index (BMI) and alcohol consumption (AUDIT-C) at study entry. The association between IIV and mental health outcomes (ie the Hospital Anxiety and Depression Scale [HADS] and subjectively reported mental health status [SF-12 Mental health]) were not significant. IIV was associated with higher (ie more positively rated) mean level of sleep quality. CONCLUSION IIV of sleep patterns may be a useful construct for understanding subjective experiences of sleep problems, fatigue and health in people with chronic insomnia. Our findings support notions suggesting that IIV offers additional insights beyond those offered by studying mean values alone; however, discordant findings regarding sleep quality highlight the need for further studies to examine the consequences of IIV.
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Affiliation(s)
- Einar Bredeli
- Department of Psychosocial Science, Faculty of Psychology, University of Bergen, Norway; Department of Health Promotion, Norwegian Institute of Public Health, Bergen, Norway; Haukeland University Hospital, Bjørgvin District Psychiatric Center, Bergen, Norway.
| | - Cecilie L Vestergaard
- Department of Research and Development, St. Olavs University Hospital, Trondheim, Norway; Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway
| | - Børge Sivertsen
- Department of Health Promotion, Norwegian Institute of Public Health, Bergen, Norway; Department of Research & Innovation, Helse Fonna HF, Haugesund, Norway
| | - Håvard Kallestad
- Department of Research and Development, St. Olavs University Hospital, Trondheim, Norway; Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway
| | - Simon Øverland
- Department of Psychosocial Science, Faculty of Psychology, University of Bergen, Norway; Department of Health Promotion, Norwegian Institute of Public Health, Bergen, Norway
| | - Lee M Ritterband
- Center for Behavioral Health and Technology, Department of Psychiatry and Neurobehavioral Sciences, University of Virginia, Charlottesville, VA, USA
| | - Nick Glozier
- Sydney Medicine School, Faculty of Medicine and Health, The University of Sydney, Australia
| | - Ståle Pallesen
- Department of Psychosocial Science, Faculty of Psychology, University of Bergen, Norway; Norwegian Competence Center for Gambling and Gaming Research, University of Bergen, Norway; Optentia, The Vaal Triangle Campus of the North-West University, Vanderbijlpark, South Africa
| | - Jan Scott
- Department of Research and Development, St. Olavs University Hospital, Trondheim, Norway; Institute of Neuroscience, Newcastle University, UK
| | - Knut Langsrud
- Department of Research and Development, St. Olavs University Hospital, Trondheim, Norway
| | - Øystein Vedaa
- Department of Health Promotion, Norwegian Institute of Public Health, Bergen, Norway; Department of Research and Development, St. Olavs University Hospital, Trondheim, Norway; Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway; Voss District Psychiatric Hospital, NKS Bjørkeli, Voss, Norway
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15
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Okuyama T. Predator-prey population dynamics may induce the evolutionary dynamics of behavioral unpredictability. Biosystems 2021; 211:104582. [PMID: 34813894 DOI: 10.1016/j.biosystems.2021.104582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 11/11/2021] [Accepted: 11/12/2021] [Indexed: 11/17/2022]
Abstract
Behavioral unpredictability (within-individual behavioral variability that cannot be explained by extrinsic and intrinsic factors) has been observed in a wide variety of species, but its adaptive significance is not well understood. This study examines the possibility that behavioral unpredictability is maintained through predator-prey population dynamics. An individual-based model was constructed to track the status of individual predators. The handling time of a predator is characterized by its expected value and unpredictability, which are heritable, and each predator features a unique combination of these characteristics. A discrete generation model in which one prey species and one predator species interact was constructed. The model showed that the evolutionarily stable strategy (ESS) of handling time is associated with no behavioral unpredictability and that the ESS handling time depends on the densities of the prey and predators. When populations exhibit cyclic dynamics, the ESS also changes along with the population dynamics, thereby creating mismatches between the traits of predators and the ESS because the dynamics of the ESS and population are faster than the evolution of the handling time traits. This mismatch can generate conditions in which individuals with behavioral unpredictability are at least transiently selected because of the topology of the fitness landscape. However, the model also showed that the selection strength of behavioral unpredictability is weak and can be overruled by inherent stochastic processes.
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Affiliation(s)
- Toshinori Okuyama
- Department of Entomology, National Taiwan University, Taipei, Taiwan.
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16
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Bauer LO. Temporal instability in brain activation: a novel paradigm for evaluating the maintenance of attention among substance dependent patients. Psychopharmacology (Berl) 2021; 238:2937-2946. [PMID: 34196741 PMCID: PMC10127227 DOI: 10.1007/s00213-021-05909-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 06/17/2021] [Indexed: 10/21/2022]
Abstract
RATIONALE Prior studies have demonstrated statistically significant but subtle differences in brain function between patients with a history of substance dependence (SD) and control groups. OBJECTIVES The goal of the present study was to show that variability in brain activation over the trials of a cognitive task is more useful for revealing the putative impact of SD than analyses focusing on the amplitude of activation averaged over trials. The study also tested the additional contribution of antisocial personality disorder (ASPD)-a prevalent comorbidity that promotes both an early onset and more severe course of SD. METHODS Two hundred eleven adults performed two selective attention tasks while P300 event-related electroencephalographic potentials were recorded. They were assigned to one of 3 mutually exclusive groups: no lifetime history of SD or ASPD (n = 67), a SD history but no ASPD (n = 68), or both SD and ASPD (n = 76). RESULTS The major finding was a statistically significant elevation of P300 amplitude inter-trial variability (ITV) in the SD plus ASPD group in comparison to the group with neither attribute. The elevation was detected during both selective attention tasks and most prominent at electrodes sites located over the frontal brain. There were no group differences in P300 amplitude averaged over trials. CONCLUSIONS We conclude from these findings that the ITV of P300 amplitude is an efficient and sensitive biomarker of the maintenance of attention. It is valuable for revealing group differences associated with substance dependence and ASPD. It may ultimately be valuable for detecting improvements resulting from psychostimulant treatment or other interventions, including cognitive remediation.
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Affiliation(s)
- Lance O Bauer
- Department of Psychiatry, University of Connecticut School of Medicine, 263 Farmington Ave, Farmington, CT, 06030, USA.
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17
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Turner SG, Hooker K, Stawski RS. Women's Self-Relevant Goal Pursuit in the Presence of Physical Pain: An Intraindividual Variability Approach. J Gerontol B Psychol Sci Soc Sci 2021; 76:1565-1573. [PMID: 32882026 DOI: 10.1093/geronb/gbaa151] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVES Pursuing personal goals that are relevant to one's sense of self is important for adjusting to age-related changes. Experiences of physical pain, however, are thought to threaten both people's sense of self and their pursuit of personal goals. Although a majority of older women experience physical pain, little is known about their day-to-day regulation of their self-relevant goals in the presence of physical pain. The objectives of this study were to explore associations between physical pain and health goal pursuit on a daily basis for women who identified health as a part of their possible selves. METHODS We took an intraindividual variability approach to analyze whether there were within- and between-person differences in associations between daily pain and daily health goal progress among 62 women who provided data over the course of 100 days, yielding 4,150 occasions of data. RESULTS At the between-person level, women with higher pain on average had lower health goal pursuit on average. At the within-person level, days of higher-than-average pain were associated with lower same-day health goal progress. DISCUSSION Our results suggest that pain interrupts regulation of a self-relevant goal at a within-person-not just between-person-daily level. Future work should consider how these daily, within-person, disruptions affect broader identity processes and overall well-being.
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Affiliation(s)
- Shelbie G Turner
- School of Social and Behavioral Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis
| | - Karen Hooker
- School of Social and Behavioral Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis
| | - Robert S Stawski
- School of Social and Behavioral Health Sciences, College of Public Health and Human Sciences, Oregon State University, Corvallis
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18
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Dzierzewski JM, Donovan EK, Sabet SM. The Sleep Regularity Questionnaire: development and initial validation. Sleep Med 2021; 85:45-53. [PMID: 34274811 DOI: 10.1016/j.sleep.2021.06.028] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 05/18/2021] [Accepted: 06/21/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND/OBJECTIVE Sleep is a critically important behavior which influences diverse aspects of health, functioning, and longevity. An increasing literature suggests the importance of sleep regularity, also referred to as sleep inconsistency, sleep variability, or intraindividual variability in sleep. Given there is no brief, subjective measure of sleep regularity, the purpose of this study was to develop the Sleep Regularity Questionnaire (SRQ) and to begin the process of examining its psychometric properties using a construct-validation approach. PARTICIPANTS/METHODS In an online study of sleep and health, participants (n = 3249; Mage (SD) = 42.77 (16.73); 48.5% female; 77.3% white) completed the in-development SRQ, as well as the Insomnia Severity Index and the Pittsburgh Sleep Quality Index. RESULTS An exploratory factor analysis followed by a confirmatory factor analysis revealed a two factor structure, represented by circadian regularity and sleep continuity regularity, with good model fit indices (X2 = 50.9, df = 7, p < 0.001; RMSEA = 0.06; CFI = 0.99; NFI = 0.99; IFI = 0.99; TLI = 0.98). Test-retest reliability, as well as concurrent, convergent and incremental validity were examined, with promising results. CONCLUSIONS Preliminary psychometrics suggest that the SRQ is a valid and stable instrument for the assessment of sleep regularity in adults that is related to, but distinct from, other established sleep constructs. Future research will benefit from assessing the validity of the SRQ in various clinical samples and how it compares to measures of sleep regularity calculated from prospective daily assessments.
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Affiliation(s)
- Joseph M Dzierzewski
- Department of Psychology, Virginia Commonwealth University, 806 West Franklin St., PO Box 842018, Richmond, VA, 23284-2018, USA.
| | - Emily K Donovan
- Department of Psychology, Virginia Commonwealth University, 806 West Franklin St., PO Box 842018, Richmond, VA, 23284-2018, USA
| | - Sahar M Sabet
- Department of Psychology, Virginia Commonwealth University, 806 West Franklin St., PO Box 842018, Richmond, VA, 23284-2018, USA
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19
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Stiver J, Fusco-Gessick B, Moran E, Crook C, Zimmerman ME. Variable objective sleep quality is related to worse spatial learning and memory in young adults. Sleep Med 2021; 84:114-120. [PMID: 34144450 DOI: 10.1016/j.sleep.2021.05.034] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2020] [Revised: 01/21/2021] [Accepted: 05/24/2021] [Indexed: 11/19/2022]
Abstract
OBJECTIVE The majority of research on sleep and cognition has focused on mean markers of sleep across multiple nights; however, variable sleep patterns have become increasingly common in the modern era. The purpose of this study was to examine whether objective intraindividual variability in sleep quantity and quality are related to verbal and visuospatial learning and memory functioning in young adults. METHODS A total of 218 young adult college students were recruited from a university in the Eastern United States, among which 187 participants (70.6% female; mean age = 20.5, SD = 1.5) had complete actigraphy and cognitive performance data. Objective intraindividual means and variabilities of sleep quantity (total sleep time) and sleep quality (percent wake after sleep onset) were measured over a 1- to 2-week timeframe using wrist actigraphy. Verbal and visuospatial learning and memory were assessed using the International Shopping List and Groton Maze Learning tests of the Cogstate computerized test battery. RESULTS Greater intraindividual variability in actigraphy-derived sleep quality was associated with poorer visuospatial learning and memory performance after controlling for mean sleep quality and visuomotor attention and processing speed (ps < 0.05). Actigraphic measures of sleep quantity were not related to any learning and memory measures. CONCLUSION In young adults, intraindividual variability in objective sleep quality was significantly related to visuospatial learning and memory, over and above mean sleep quality. Given these associations, future studies should aim to identify modifiable lifestyle and environmental factors contributing to variable sleep quality.
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Affiliation(s)
- Jordan Stiver
- Department of Psychology, Fordham University, New York, NY, USA.
| | | | - Eileen Moran
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Cara Crook
- Department of Psychology, Fordham University, New York, NY, USA
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20
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Leger KA, Blevins TR, Crofford LJ, Segerstrom SC. Mean Levels and Variability in Psychological Well-Being and Associations With Sleep in Midlife and Older Women. Ann Behav Med 2021; 55:436-445. [PMID: 32857116 DOI: 10.1093/abm/kaaa069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Disturbed sleep is prevalent in older adulthood and particularly among women. Greater psychological well-being (PWB) is associated with better sleep, but intraindividual variability in PWB has not been examined. PURPOSE The current study examined whether mean levels and variability in PWB were associated with sleep disturbances in midlife and older women. METHODS Participants (N = 189) completed up to seven daily diaries and an end of the week assessment every 3 months for nine waves. Participants answered questions about their nightly sleep disturbances and reported their PWB using Ryff's six dimensions of PWB. RESULTS Regression models indicated that greater variability in one aspect of PWB, positive relations with others, was related to greater sleep disturbance even after adjusting for mean levels of well-being. Greater variability in environmental mastery, purpose in life, and self-acceptance were also associated with sleep disturbance, but these associations were no longer significant after adjusting for mean levels of well-being. CONCLUSIONS Results suggest that fluctuations in positive relations with others are related to sleep in adult women above and beyond mean levels of well-being. Results highlight the importance of considering variability in addition to mean levels of PWB.
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Affiliation(s)
- Kate A Leger
- Department of Psychology, The University of Kentucky, Lexington, KY, USA
| | - Tessa R Blevins
- Department of Psychology, The Ohio State University, Columbus, OH, USA
| | - Leslie J Crofford
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
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21
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Abstract
BACKGROUND Existing research suggests that greater sleep variability may increase risk for weight gain. College often marks a transition to a less consistent daily schedule, which may adversely impact sleep routines and further increase risk for weight gain. The current study is among the first to explore relations between nighttime sleep variability and daytime sleep (napping) and body weight among first-year college students. METHODS Using daily diary methods, first-year college students (N = 307; 84.7% female) self-reported their sleep for seven days. Several indices were created to capture sleep variability for reported bedtime, wake time, and sleep duration, including weekday versus weekend differences (WvW), day to day differences (D2D), and overall standard deviation (SD). Napping was also assessed. Based on body mass index (BMI), individuals were categorized as underweight, healthy weight, overweight, and obese. RESULTS Across indices, students' sleep varied over an hour on average across the week. Hierarchical regressions revealed that greater differences in wake time D2D, wake time SD, and sleep duration WvW were all associated with higher BMI, after accounting for gender, depressive symptoms, and sleep duration. Longer napping was also associated with higher BMI, using the same covariates. Finally, greater sleep variability was reported by overweight and obese than healthy weight individuals. CONCLUSION These findings suggest that sleep variability, particularly wake times and napping may be important modifiable sleep behaviors to investigate in future studies. More longitudinal research is needed to explore relations between multiple facets of sleep variability and weight gain, including possible mechanisms.
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Affiliation(s)
| | | | - Jennette P Moreno
- USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
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22
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Ostlund BD, Alperin BR, Drew T, Karalunas SL. Behavioral and cognitive correlates of the aperiodic (1/f-like) exponent of the EEG power spectrum in adolescents with and without ADHD. Dev Cogn Neurosci 2021; 48:100931. [PMID: 33535138 PMCID: PMC7856425 DOI: 10.1016/j.dcn.2021.100931] [Citation(s) in RCA: 50] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2019] [Revised: 01/15/2021] [Accepted: 01/27/2021] [Indexed: 02/07/2023] Open
Abstract
Efficient information processing facilitates cognition and may be disrupted in a number of neurodevelopmental conditions. And yet, the role of inefficient information processing and its neural underpinnings remains poorly understood. In the current study, we examined the cognitive and behavioral correlates of the aperiodic exponent of the electroencephalogram (EEG) power spectrum, a putative marker of disrupted, inefficient neural communication, in a sample of adolescents with and without ADHD (n = 184 nADHD = 87; Mage = 13.95 years, SD = 1.36). Exponents were calculated via FOOOF (Donoghue et al., 2020a) from EEG data recorded during an 8-minute baseline episode. Reaction time speed and variability, as well as drift diffusion parameters (including the drift rate parameter, a cognitive parameter directly related to inefficient information processing) were calculated. Adolescents with ADHD had smaller aperiodic exponents (a "flattened" EEG power spectrum) relative to their typically-developing peers. After controlling for ADHD, aperiodic exponents were related to reaction time variability and the drift rate parameter, but not in the expected direction. Our findings lend support for the aperiodic exponent as a neural correlate of disrupted information processing, and provide insight into the role of cortical excitation/inhibition imbalance in the pathophysiology of ADHD.
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Affiliation(s)
- Brendan D Ostlund
- Department of Psychology, The Pennsylvania State University, United States.
| | | | - Trafton Drew
- Department of Psychology, University of Utah, United States
| | - Sarah L Karalunas
- Department of Psychological Sciences, Purdue University, United States
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23
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Brydges CR, Carlson MC, Andrews RM, Rebok GW, Bielak AAM. Using Cognitive Intraindividual Variability to Measure Intervention Effectiveness: Results from the Baltimore Experience Corps Trial. J Gerontol B Psychol Sci Soc Sci 2021; 76:661-670. [PMID: 31950167 PMCID: PMC7955985 DOI: 10.1093/geronb/gbaa009] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2019] [Indexed: 12/27/2022] Open
Abstract
OBJECTIVES Studies investigating the effectiveness of intervention programs on cognitive ability in older adults are inconsistent; however, these studies generally focus on traditional measures of cognition, and therefore may miss some improvements by not utilizing alternate measures. We evaluate the potential for intraindividual variability in cognitive speed (IIV), a demonstrated sensitive indicator of cognitive functioning, to be used as an index of cognitive plasticity from an intervention. The current study evaluated whether older adults in a school volunteering program showed a reduction in IIV, compared to a low-activity control group over 2 years of exposure. METHOD Nondemented older adults (n = 336) participated in the Baltimore Experience Corps Trial, an evaluation of a volunteering program conducted at elementary schools designed to increase older adults' physical, cognitive, and social engagement. Participants completed a cognitive battery that included a Stroop task at baseline and after 12 and 24 months. RESULTS Traditional intent-to-treat analyses did not report significant improvements. Participants who complied at the 80th percentile or above showed a significant reduction in IIV at 24 months, with an additional trend of improved IIV with increased compliance to the treatment protocol, both at 12 months, and at 24 months. Men also showed dose-dependent improvements after 12 months. DISCUSSION The Experience Corps program resulted in an improvement in cognitive performance as measured by IIV. Analyzing previously collected data with nontraditional measures of cognition, such as IIV, may be a potentially fruitful and cost-effective method for understanding how interventions impact cognition in aging populations.
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Affiliation(s)
- Christopher R Brydges
- Department of Human Development and Family Studies, Colorado State University, Fort Collins
| | - Michelle C Carlson
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Center on Aging and Health, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Ryan M Andrews
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany
| | - George W Rebok
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
- Center on Aging and Health, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Allison A M Bielak
- Department of Human Development and Family Studies, Colorado State University, Fort Collins
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24
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Zhang S, Gamaldo AA, Neupert SD, Allaire JC. Predicting Control Beliefs in Older Adults: A Micro-Longitudinal Study. J Gerontol B Psychol Sci Soc Sci 2021; 75:e1-e12. [PMID: 30649560 DOI: 10.1093/geronb/gbz001] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Accepted: 01/08/2019] [Indexed: 01/17/2023] Open
Abstract
OBJECTIVES The present study examined potential sources of intra- and inter-individual differences in older adults' control beliefs using a micro-longitudinal design. METHOD Older adults (n = 205) ranging in age from 60 to 94 (M = 72.70, SD = 6.72) completed 8 in-person testing sessions within 3 weeks which included assessments of control beliefs (Locus of Control and Perceived Competence), physical health (physical symptoms and sleep self-efficacy), stressors, emotional well-being (Positive Affect and Negative Affect), and cognition (basic cognition tests, everyday cognition, and memory failures). RESULTS Multilevel models indicated that on days when older adults had higher sleep self-efficacy, more positive affect, and less negative affect, they also had more internal locus of control and higher perceived competence. Having stressors on the previous occasion was associated with lower internal locus of control on the subsequent occasion. Physical symptoms, everyday cognition, and memory failures could be predictive of locus of control for some older adults. DISCUSSION Our findings showed the differentiated antecedents of locus of control and perceived competence, the unique role of sleep self-efficacy, positive affect, and negative affect in understanding antecedents of both, as well as the need to study well-being and cognition antecedents of control beliefs in future studies.
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Affiliation(s)
- Shenghao Zhang
- Department of Psychology, North Carolina State University, Raleigh
| | - Alyssa A Gamaldo
- Department of Human Development, State College, Pennsylvannia and Family Studies, Pennsylvania State University
| | | | - Jason C Allaire
- Department of Psychology, North Carolina State University, Raleigh
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25
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Bellingtier JA, Neupert SD. Feeling Young and in Control: Daily Control Beliefs Are Associated With Younger Subjective Ages. J Gerontol B Psychol Sci Soc Sci 2021; 75:e13-e17. [PMID: 30873557 DOI: 10.1093/geronb/gbz015] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2018] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVES Daily variations in control beliefs are associated with developmental outcomes. We predicted that on days when older adults feel more in control than their personal average, they would also report feeling younger, and explored the relationship in younger adults. METHOD A total of 116 older and 107 younger adults completed a 9-day daily diary study. On Day 1 participants reported on demographic variables. On Days 2-9, participants reported their daily subjective age, daily control beliefs, daily stressors, and daily physical health symptoms. All measures were completed online via Qualtrics. Results were analyzed using multilevel models. RESULTS Controlling for age, gender, education, daily stressors, daily physical health, and average control, there was a significant main effect of daily control beliefs on daily subjective age. Older adults felt significantly younger on days with a greater sense of control than usual, but this effect was absent in younger adults. For younger adults, average exposure to daily stressors and daily fluctuations in physical health were better predictors of daily subjective age. DISCUSSION These findings suggest that higher daily control is associated with younger subjective ages in older adults, whereas other factors may play a more central role in the daily variations of younger adults' subjective ages.
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26
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Blaxton J, Bergeman CS, Wang L. Daily Stress Reactivity Across the Life span: Longitudinal and Cross-Sectional Effects of Age. J Gerontol B Psychol Sci Soc Sci 2020; 75:494-503. [PMID: 29897543 DOI: 10.1093/geronb/gby046] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2017] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVE Exploration of development requires the use of research designs and process-oriented methodologies that can capture daily fluctuations within individuals, systematic changes within individuals, and differences between individuals. We examine the stress-affect relationship in this way to assess how the relationship between daily stress and negative affect (NA) as well as the relationship between daily stress and positive affect (PA) differs between individuals and changes over time depending on age and stress differences. METHOD Participants (N = 966) completed daily "burst" assessments of stress, NA, and PA. Three-level multilevel models depicted how cross-sectional age, within-person age changes, and global stress differences impact the daily stress-affect relationship. RESULTS Findings illustrate that cross-sectional age and the aging process uniquely buffer the stress-NA relationship whereas global stress exacerbates it. Furthermore, older adults as well as adults with low global stress experience a weaker relationship between daily stress and PA as they age, but midlife adults and adults with high global stress experience a stronger relationship. DISCUSSION These results depict differences in aging trajectories for both midlife and older adults and thus inform intervention and preventative care strategies aimed toward promoting stress regulation.
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Affiliation(s)
| | - C S Bergeman
- Psychology Department, University of Notre Dame, Indiana
| | - Lijuan Wang
- Psychology Department, University of Notre Dame, Indiana
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Abstract
OBJECTIVES Late-life disability is highly dynamic but within-person short-term fluctuations have not been assessed previously. We analyze how substantial such late-life disability fluctuations are and whether they are associated with time-to-death, long-term disability trajectories, frailty, and sociodemographics. METHODS Monthly survey data (Precipitating Events Project Study) on activities of daily living/instrumental activities of daily living (ADL/IADL) disability (0-9) in the last years of life from 642 deceased respondents providing 56,308 observations were analyzed with a two-step approach. Observation-level residuals extracted from a Poisson mixed regression model (first step), which depict vertical short-term fluctuations from individual long-term trajectories, were analyzed with a linear mixed regression model (second step). RESULTS Short-term disability fluctuations amounted to about one ADL/IADL limitation, increased in the last 4 years of life, and were closely associated with disability increases. Associations with frailty or sociodemographics characteristics were absent except for living alone. DISCUSSION Short-term disability fluctuations in late life were substantial, were linked to mortality-related processes, and represent a concomitant feature of disability increases in late life.
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Affiliation(s)
- Erwin Stolz
- Institute of Social Medicine and Epidemiology, Medical University of Graz, Austria
| | - Thomas M Gill
- Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
| | - Hannes Mayerl
- Institute of Social Medicine and Epidemiology, Medical University of Graz, Austria
| | - Wolfgang Freidl
- Institute of Social Medicine and Epidemiology, Medical University of Graz, Austria
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Schmiedek F, Lövdén M, von Oertzen T, Lindenberger U. Within-person structures of daily cognitive performance differ from between-person structures of cognitive abilities. PeerJ 2020; 8:e9290. [PMID: 32551201 PMCID: PMC7292017 DOI: 10.7717/peerj.9290] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Accepted: 05/13/2020] [Indexed: 11/20/2022] Open
Abstract
Over a century of research on between-person differences has resulted in the consensus that human cognitive abilities are hierarchically organized, with a general factor, termed general intelligence or “g,” uppermost. Surprisingly, it is unknown whether this body of evidence is informative about how cognition is structured within individuals. Using data from 101 young adults performing nine cognitive tasks on 100 occasions distributed over six months, we find that the structures of individuals’ cognitive abilities vary among each other, and deviate greatly from the modal between-person structure. Working memory contributes the largest share of common variance to both between- and within-person structures, but the g factor is much less prominent within than between persons. We conclude that between-person structures of cognitive abilities cannot serve as a surrogate for within-person structures. To reveal the development and organization of human intelligence, individuals need to be studied over time.
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Affiliation(s)
- Florian Schmiedek
- Center for Lifespan Development, Max Planck Institute for Human Development, Berlin, Germany.,DIPF - Leibniz Institute for Research and Information in Education, Frankfurt am Main, Germany
| | - Martin Lövdén
- Center for Lifespan Development, Max Planck Institute for Human Development, Berlin, Germany.,Aging Research Center, Karolinska Institutet, Stockholm, Sweden
| | - Timo von Oertzen
- Center for Lifespan Development, Max Planck Institute for Human Development, Berlin, Germany.,Current affiliation: Department of Psychology, Universität der Bundeswehr München, München, Germany
| | - Ulman Lindenberger
- Center for Lifespan Development, Max Planck Institute for Human Development, Berlin, Germany.,European University Institute, San Domenico di Fiesole, Italy.,Max Planck UCL Centre for Computational Psychiatry and Ageing Research, London & Berlin, United Kingdom & Germany
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Merritt VC, Greenberg LS, Guty E, Bradson ML, Rabinowitz AR, Arnett PA. Beyond Measures of Central Tendency: Novel Methods to Examine Sex Differences in Neuropsychological Performance Following Sports-Related Concussion in Collegiate Athletes. J Int Neuropsychol Soc 2019; 25:1094-100. [PMID: 31477193 DOI: 10.1017/S1355617719000882] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
OBJECTIVE The purpose of this study was to examine sex differences in neuropsychological functioning after sports-related concussion using several approaches to assess cognition: mean performance, number of impaired scores, and intraindividual variability (IIV). METHOD In the study, 152 concussed college athletes were administered a battery of neuropsychological tests, on average, 10 days post-concussion (SD = 12.75; Mdn = 4 days; Range = 0-72 days). Mean performance was evaluated across 18 individual neuropsychological variables, and the total number of impaired test scores (>1.5 SD below the mean) was calculated for each athlete. Two measures of IIV were also computed: an intraindividual standard deviation (ISD) score and a maximum discrepancy (MD) score. RESULTS Analyses of covariance revealed that, compared with males, females had significantly more impaired scores and showed greater variability on both IIV indices (ISD and MD scores) after adjusting for time since injury and post-concussive symptoms. In contrast, no significant effects of sex were found when examining mean neuropsychological performance. CONCLUSION Although females and males demonstrated similar mean performance following concussion, females exhibited a greater level of cognitive impairment and larger inconsistencies in cognitive performance than males. These results suggest that evaluating cognitive indices beyond mean neuropsychological scores may provide valuable information when determining the extent of post-concussion cognitive dysfunction.
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Veeramachaneni K, Slavish DC, Dietch JR, Kelly K, Taylor DJ. Intraindividual variability in sleep and perceived stress in young adults. Sleep Health 2019; 5:572-579. [PMID: 31575485 DOI: 10.1016/j.sleh.2019.07.009] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Revised: 06/25/2019] [Accepted: 07/25/2019] [Indexed: 12/19/2022]
Abstract
OBJECTIVES Research suggests strong associations between habitual sleep parameters (eg, mean duration, timing, efficiency), perceived stress, and insomnia symptoms. The associations between intraindividual variability (IIV; night-to-night within-person variation) in sleep, perceived stress, and insomnia have not been explored. This study examined associations between IIV in subjectively and objectively determined sleep parameters and to perceived stress in young adults with and without insomnia. DESIGN Prospective longitudinal. SETTING AND PARTICIPANTS Participants were 149 college students (mean age = 20.2 [SD = 2.4], 59% female) either with insomnia (n = 81; 54%) or without insomnia (n = 68; 46%). MEASUREMENTS Participants completed 1 week of daily sleep diaries and actigraphy (to assess total sleep time [TST], sleep efficiency [SE], and circadian midpoint [CM]), the Perceived Stress Scale, and a diagnostic interview for determination of insomnia as part of a parent study. RESULTS Greater IIV in actigraphy-determined TST (but not SE or CM) was independently associated with greater perceived stress, regardless of insomnia status. Greater IIV in sleep diary-determined TST, SE, or CM was not associated with perceived stress. Insomnia status was the most robust predictor of elevated perceived stress. There was a significant interaction between IIV in sleep diary-determined TST and insomnia status on perceived stress: Only in those without insomnia was greater IIV in sleep diary-determined TST associated with higher perceived stress. CONCLUSION Maintaining a more consistent sleep duration may be associated with lower stress in college students. Future research is needed to clarify the directionality and implications of this association for treatment.
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Affiliation(s)
- Kirti Veeramachaneni
- Department of Psychology, University of North Texas, 1155 Union Circle #311280, Denton, TX, 76203; College for Public Health and Social Justice, St Louis University, 3545 Lafayette Ave, St Louis, MO 63104
| | - Danica C Slavish
- Department of Psychology, University of North Texas, 1155 Union Circle #311280, Denton, TX, 76203.
| | - Jessica R Dietch
- Department of Psychology, University of North Texas, 1155 Union Circle #311280, Denton, TX, 76203
| | - Kimberly Kelly
- Department of Psychology, University of North Texas, 1155 Union Circle #311280, Denton, TX, 76203
| | - Daniel J Taylor
- Department of Psychology, University of North Texas, 1155 Union Circle #311280, Denton, TX, 76203; Department of Psychology, University of Arizona, 1503 E University Blvd Bldg 68, Tucson, AZ 85721
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Abstract
Background Interest in maintaining one's cognitive ability and quality of life through older adulthood has greatly increased in recent years. However, research examining the effectiveness of cognitive engagement interventions on older adults is mixed and the mechanisms behind improving cognition in older age are unknown. It is possible that traditional measures of cognitive outcomes, such as average reaction time, may overlook potential benefits due to a lack of sensitivity in these measures. One alternative metric is intraindividual variability (IIV) in response speed (short-term variations in performance on reaction time tasks), which reflects fluctuations in attention and is a sensitive behavioral measure of neurological integrity that is predictive of future cognitive decline and impairment. Objective The current study aimed to investigate whether IIV was improved in older adults through productive cognitive engagement (i.e., acquisition of new skills) in comparison to receptive engagement (activities that rely upon existing knowledge). Methods Participants were 173 typically aging adults aged 60-90 years who were recruited to the Synapse Project and randomly allocated to a productive engagement activity (learning to quilt and/or conduct digital photography) or receptive engagement activity (socializing, or placebo cognitive tasks such as completing crosswords). Participants completed three flanker tasks at baseline and after completing the 14-week intervention program. IIV was calculated as the trial-to-trial variability in responding to congruent and incongruent trials in each task. Results Neither traditional intent-to-treat nor complier average causal effect modeling analyses showed any significant improvements in IIV for either intervention group. Further, Bayesian analyses showed that there was moderate evidence in favor of the null hypothesis. Conclusion An intensive cognitive activity intervention did not result in a reduction in IIV. We suggest that intervention programs may need to specifically engage cognitive domains associated with IIV (i.e., attention, executive control) for improvements to be observed. Additionally, other design factors such as using a longer duration and/or applying the intervention to atypically aging groups, such as those with mild cognitive impairment, may increase the likelihood of significantly reducing IIV via an intervention.
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Affiliation(s)
| | - Allison A M Bielak
- Department of Human Development and Family Studies, Colorado State University, USA
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Mickeviciene D, Leleikiene A, Valanciene D, Vizbaraite D, Brazaitis M, Skurvydas A. Absence of differences in the learning rate of a speed-accuracy movement task between women patients with mild and major depression and healthy adult women. Hum Mov Sci 2019; 66:363-370. [PMID: 31153033 DOI: 10.1016/j.humov.2019.05.016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Revised: 05/21/2019] [Accepted: 05/23/2019] [Indexed: 12/25/2022]
Abstract
This study tested the hypothesis that women patients with depression should perform movements more slowly and with greater variability, and their learning rate should be lower compared with age-matched healthy adult women. Three groups of adult women subjects (aged 33-37 years, women patients with mild and major depression and healthy adult women, n = 20 in each group) performed five series (20 repetitions in each series) of a speed-accuracy hand-movement task (SAT). The mean movement speed (Va) of the SAT was lower and more stable (the coefficient of variation of Va was lower) in women patients with major depression compared with those with minor depression and healthy adult women during the first series of the SAT. Only the Va and movement accuracy (path of movement, S) of the SAT varied significantly in the five learning series regardless of the subject group (healthy women subjects and women patients with minor and major depression). The intraindividual variability of reaction time, Va, maximal movement velocity to the target (tVmax), time to tVmax, and S did not change significantly in any of the groups. Our research data showed that although women patients with depression performed speed-accuracy movements more slowly, the stability of the performance of their movements and their learning rate did not differ from those of age-matched healthy adult women.
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Affiliation(s)
- Dalia Mickeviciene
- Institute of Sport Science and Innovations, Lithuanian Sports University, Sporto Str. 6, 44221 Kaunas, Lithuania
| | - Aiste Leleikiene
- Institute of Sport Science and Innovations, Lithuanian Sports University, Sporto Str. 6, 44221 Kaunas, Lithuania
| | - Dovile Valanciene
- Institute of Sport Science and Innovations, Lithuanian Sports University, Sporto Str. 6, 44221 Kaunas, Lithuania.
| | - Daiva Vizbaraite
- Institute of Sport Science and Innovations, Lithuanian Sports University, Sporto Str. 6, 44221 Kaunas, Lithuania
| | - Marius Brazaitis
- Institute of Sport Science and Innovations, Lithuanian Sports University, Sporto Str. 6, 44221 Kaunas, Lithuania
| | - Albertas Skurvydas
- Institute of Sport Science and Innovations, Lithuanian Sports University, Sporto Str. 6, 44221 Kaunas, Lithuania
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Ali S, Macoun SJ, Bedir B, MacDonald SWS. Intraindividual variability in children is related to informant ratings of attention and executive function. J Clin Exp Neuropsychol 2019; 41:740-748. [PMID: 31132921 DOI: 10.1080/13803395.2019.1617249] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Objective: Attention and executive function (EF) deficits are ubiquitous in neurodevelopmental disorders including Attention Deficit/Hyperactivity Disorder (ADHD), as are high levels of intraindividual variability (IIV). Attention and EF are typically assessed using informant ratings and objective measures; however, discrepancies between different metrics often make it difficult to fully characterize a child's attention capabilities, and IIV has been proposed as a potentially useful discriminator. Our objective was to explore the relationship between IIV, using the residualized intraindividual standard deviation (rISD) method, and informant ratings of attention and EF in a mixed pediatric sample, to determine the potential utility of IIV for aiding attention diagnostics. Another commonly used, though controversial, IIV indicator, the coefficient of variation (ICV), was calculated for comparison purposes. Method: We assessed 51 children with varying degrees of attention and EF deficits. Measures included parent and teacher responses on the Comprehensive Executive Function Inventory (CEFI) and response times (RT) on a go/no-go task, which were used to estimate IIV. Results: Mean RT, rISD, and ICV were significantly related to parent and teacher ratings of attention, though ICV showed a relatively weaker association. rISD also showed associations with parent ratings of working memory and self-monitoring, as well as teacher ratings of working memory. Conclusion: The significant, and relatively stronger, relationship between rISD and parent and teacher ratings of attention supports the use of this metric, compared to mean RT and ICV. The rISD indicator of IIV thus shows potential utility as a unique and objective measure of attention in children across various neurodevelopmental disorders and, with additional research, may prove useful for diagnosis of attention problems.
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Affiliation(s)
- Sheliza Ali
- a Department of Psychology , University of Victoria , Victoria , Canada
| | - Sarah J Macoun
- a Department of Psychology , University of Victoria , Victoria , Canada
| | - Buse Bedir
- a Department of Psychology , University of Victoria , Victoria , Canada
| | - Stuart W S MacDonald
- a Department of Psychology , University of Victoria , Victoria , Canada.,b Institute on Aging and Lifelong Health , University of Victoria , Victoria , Canada
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Sperry SH, Kwapil TR. Affective dynamics in bipolar spectrum psychopathology: Modeling inertia, reactivity, variability, and instability in daily life. J Affect Disord 2019; 251:195-204. [PMID: 30927580 DOI: 10.1016/j.jad.2019.01.053] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/08/2018] [Revised: 12/18/2018] [Accepted: 01/22/2019] [Indexed: 01/12/2023]
Abstract
BACKGROUND Bipolar psychopathology is characterized by affective dysregulation independent of mood episodes. However, previous research has relied on laboratory-based emotion-eliciting tasks or retrospective questionnaires that do not take into account temporal dynamics of affect. Thus, the present study examined affective dynamics (reactivity, variability, instability, and inertia) of low and high arousal negative affect (NA) and positive affect (PA) in daily life in those at risk for bipolar psychopathology. METHODS Undergraduates (n = 135) completed the Hypomanic Personality Scale and experience sampling surveys assessing affective experiences 8 times daily for 7 days. RESULTS HPS scores were associated with greater reactivity of NA when experiencing negative or stressful events, variability of NA (high and low arousal) and PA (high arousal), and instability of NA and PA (high and low arousal) in daily life. HPS scores were associated with a high probability of acute increases in NA and PA and were unassociated with levels of inertia. LIMITATIONS This study only examined short-term dynamics over 7 days. Future studies should model both short- and long-term dynamics and whether these dynamics predict behavioral outcomes. CONCLUSIONS These results provide evidence that bipolar spectrum psychopathology is characterized by reactivity of NA as well as variability, instability, and acute increases in NA and PA in daily life over-and-above mean levels of affect. Modeling affective dynamics may provide context-relevant information about the course and trajectory of bipolar spectrum psychopathology and should facilitate the use of experience sampling methodology to study and intervene in mood lability in patients with bipolar disorders.
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Affiliation(s)
- Sarah H Sperry
- Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL 61820, United States.
| | - Thomas R Kwapil
- Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL 61820, United States; University of North Carolina at Greensboro, Greensboro, NC, United States
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Stawski RS, MacDonald SWS, Brewster PWH, Munoz E, Cerino ES, Halliday DWR. A Comprehensive Comparison of Quantifications of Intraindividual Variability in Response Times: A Measurement Burst Approach. J Gerontol B Psychol Sci Soc Sci 2019; 74:397-408. [PMID: 29029201 PMCID: PMC6377057 DOI: 10.1093/geronb/gbx115] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2017] [Accepted: 09/06/2017] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVES To formally identify and contrast the most commonly-employed quantifications of response time inconsistency (RTI) and elucidate their utility for understanding within-person (WP) and between-person (BP) variation in cognitive function with increasing age. METHOD Using two measurement burst studies of cognitive aging, we systematically identified and computed five RTI quantifications from select disciplines to examine: (a) correlations among RTI quantifications; (b) the distribution of BP and WP variation in RTI; and (c) the comparability of RTI quantifications for predicting attention switching. RESULTS Comparable patterns were observed across studies. There was significant variation in RTI BP as well as WP across sessions and bursts. Correlations among RTI quantifications were generally strong and positive both WP and BP, except for the coefficient of variation. Independent prediction models indicated that slower mean response time (RT) and greater RTI were associated with slower attention switching both WP and BP. For selecting simultaneous prediction models, collinearity resulted in inflated standard errors and unstable model estimates. DISCUSSION RTI reflects a novel dimension of performance that is a robust and theoretically informative predictor of BP and WP variation in cognitive function. Among the plenitude of RTI quantifications, not all are interchangeable, nor of comparable predictive utility.
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Affiliation(s)
- Robert S Stawski
- School of Social and Behavioral Health Sciences, Oregon State University, Corvallis
| | - Stuart W S MacDonald
- Department of Psychology, University of Victoria, British Columbia
- Institute on Aging and Lifelong Health, University of Victoria, British Columbia
| | - Paul W H Brewster
- Department of Psychology, University of Victoria, British Columbia
- Institute on Aging and Lifelong Health, University of Victoria, British Columbia
| | - Elizabeth Munoz
- Department of Psychology, University of California, Riverside
| | - Eric S Cerino
- School of Social and Behavioral Health Sciences, Oregon State University, Corvallis
| | - Drew W R Halliday
- Department of Psychology, University of Victoria, British Columbia
- Institute on Aging and Lifelong Health, University of Victoria, British Columbia
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Jonaitis EM, Koscik RL, Clark LR, Ma Y, Betthauser TJ, Berman SE, Allison SL, Mueller KD, Hermann BP, Van Hulle CA, Christian BT, Bendlin BB, Blennow K, Zetterberg H, Carlsson CM, Asthana S, Johnson SC. Measuring longitudinal cognition: Individual tests versus composites. Alzheimers Dement (Amst) 2019; 11:74-84. [PMID: 31673596 PMCID: PMC6816509 DOI: 10.1016/j.dadm.2018.11.006] [Citation(s) in RCA: 60] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Introduction Longitudinal cohort studies of cognitive aging must confront several sources of within-person variability in scores. In this article, we compare several neuropsychological measures in terms of longitudinal error variance and relationships with biomarker-assessed brain amyloidosis (Aβ). Methods Analyses used data from the Wisconsin Registry for Alzheimer's Prevention. We quantified within-person longitudinal variability and age-related trajectories for several global and domain-specific composites and their constituent scores. For a subset with cerebrospinal fluid or amyloid positron emission tomography measures, we examined how Aβ modified cognitive trajectories. Results Global and theoretically derived composites exhibited lower intraindividual variability and stronger age × Aβ interactions than did empirically derived composites or raw scores from single tests. For example, the theoretical executive function outperformed other executive function scores on both metrics. Discussion These results reinforce the need for careful selection of cognitive outcomes in study design, and support the emerging consensus favoring composites over single-test measures. Identifying early cognitive change requires tests with low error variance. In a middle-aged sample, composites were less noisy than single tests. Global and theory-driven composites outperformed data-driven composites.
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Affiliation(s)
- Erin M Jonaitis
- Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Rebecca L Koscik
- Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Lindsay R Clark
- Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.,Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison WI, USA.,Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Yue Ma
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Tobey J Betthauser
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Sara E Berman
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Samantha L Allison
- Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison WI, USA.,Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Kimberly D Mueller
- Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.,Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA.,Department of Communication Sciences and Disorders, University of Wisconsin, Madison, WI, USA
| | - Bruce P Hermann
- Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Carol A Van Hulle
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Bradley T Christian
- Department of Medical Physics, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA.,Department of Psychiatry, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Barbara B Bendlin
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK.,UK Dementia Research Institute at UCL, London, UK
| | - Cynthia M Carlsson
- Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison WI, USA.,Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.,Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Sanjay Asthana
- Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison WI, USA.,Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Sterling C Johnson
- Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison WI, USA.,Wisconsin Alzheimer's Institute, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.,Wisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
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Bauer LO. Inter-trial variability in brain activity as an indicator of synergistic effects of HIV-1 and drug abuse. Drug Alcohol Depend 2018; 191:300-8. [PMID: 30170301 DOI: 10.1016/j.drugalcdep.2018.07.010] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Revised: 07/09/2018] [Accepted: 07/09/2018] [Indexed: 01/01/2023]
Abstract
BACKGROUND The objective of this investigation was to detect evidence of the synergism in the effects of HIV-1 and drug abuse on brain function that has been hypothesized but rarely shown. The investigation incorporated several noteworthy improvements in the approach. It used urine toxicology tests to exclude participants complicated by recent methadone use and illicit drug use. Also, it defined drug abuse on a scale that considered symptom severity. Most importantly, it examined inter-trial variability in brain activity as a potentially more sensitive indicator of group differences and functional impairment than the across-trial average. METHODS 173 participants were assigned to groups defined by their HIV-1 serostatus and Drug Abuse Screening Test score (DAST < vs. > = 6). They completed a simple letter discrimination task including rare target and rare nontarget stimuli. Event-related electroencephalographic responses and key press responses were measured on each trial. During a separate assessment, posturographic measures were recorded. RESULTS The inter-trial standard deviation of P300-like activity was superior to the mean amplitude of this activity in differentiating the groups. Unlike the mean, it revealed synergistic statistical effects of HIV and drug abuse. It also correlated significantly with static ataxia. CONCLUSIONS Inter-trial variability in P300-like activity is a useful marker for detecting subtle and episodic disruptions in brain function. It demonstrates greater sensitivity than the mean amplitude for detecting differences across groups. Also, as a putative indicator of a disruption in the attentional monitoring of behavior, it predicts subtle impairments in gross motor function.
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Molzof HE, Emert SE, Tutek J, Mulla MM, Lichstein KL, Taylor DJ, Riedel BW. Intraindividual sleep variability and its association with insomnia identity and poor sleep. Sleep Med 2018; 52:58-66. [PMID: 30286381 DOI: 10.1016/j.sleep.2018.08.014] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Revised: 08/01/2018] [Accepted: 08/27/2018] [Indexed: 01/12/2023]
Abstract
OBJECTIVE Insomnia identity refers to the conviction that one has insomnia, which can occur independently of poor sleep. Night-to-night variability in sleep (termed intraindividual variability [IIV]) may contribute to insomnia identity yet remain undetected via conventional mean analyses. This study compared sleep IIV across four subgroups: noncomplaining good sleepers (NG), complaining poor sleepers (CP), complaining good sleepers (CG), and noncomplaining poor sleepers (NP). METHODS This study analyzed 14 days of sleep diary data from 723 adults. Participants were classified according to presence/absence of a sleep complaint and presence/absence of poor sleep. A 2 × 2 multivariate analysis of covariance (MANCOVA) was performed to explore differences on five measures of sleep IIV: intraindividual standard deviation in total sleep time (iSD TST), sleep onset latency (iSD SOL), wake after sleep onset (iSD WASO), number of nightly awakenings (iSD NWAK), and sleep efficiency (iSD SE). RESULTS MANCOVA revealed significant main effects of poor sleep, sleep complaint, and their interaction on sleep IIV. Poor sleepers exhibited greater IIV across all sleep parameters compared to good sleepers. Similarly, individuals with a sleep complaint exhibited greater IIV compared to individuals with no complaint. The interaction revealed that iSD SOL was significantly greater among CP than NP, and iSD NWAK was significantly greater among CG than NG. CONCLUSIONS Greater night-to-night variability in specific sleep parameters was present among complaining versus noncomplaining sleepers in good and poor sleep subgroups. These findings suggest certain aspects of sleep consistency may be salient for treatment-seeking individuals based on their quantitative sleep status.
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Affiliation(s)
- Hylton E Molzof
- Department of Psychology, University of Alabama, Tuscaloosa, AL, USA.
| | - Sarah E Emert
- Department of Psychology, University of Alabama, Tuscaloosa, AL, USA
| | - Joshua Tutek
- Department of Psychology, University of Alabama, Tuscaloosa, AL, USA
| | | | | | - Daniel J Taylor
- Department of Psychology, University of North Texas, Denton, TX, USA
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Collins B, Widmann G, Tasca GA. Effectiveness of Intraindividual Variability in Detecting Subtle Cognitive Performance Deficits in Breast Cancer Patients. J Int Neuropsychol Soc 2018; 24:724-34. [PMID: 29880075 DOI: 10.1017/S1355617718000309] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVES The purpose of this study was to determine if intraindividual variability would be more sensitive than speed or accuracy in detecting subtle cancer-related cognitive disturbance. METHODS Data were from a previous study in which 60 breast cancer (BC) patients underwent neuropsychological assessment before commencement of chemotherapy and again following each chemotherapy cycle. Sixty healthy controls were tested at equivalent intervals. Hierarchical linear modeling was used to compare the BC and control groups in terms of accuracy, mean reaction time, and intraindividual variability in reaction time on a computerized continuous performance test with three conditions: a simple reaction time task, a "1-back" task, and a "2-back" task. RESULTS An increase in accuracy and response speed over sessions was noted on some tasks in the sample as a whole but there were no differences in these parameters between the BC patients and the controls on any condition. There was a significant group difference in change in intraindividual variability across sessions (i.e., a "group × session interaction"), albeit only on the most complex "2-back" task. Intraindividual variability declined in the control group (i.e., consistency improved with practice) but this practice effect was significantly attenuated in the BC patients. There was no main effect of group on the "2-back" task. CONCLUSIONS Results support our hypothesis that intraindividual variability is a more sensitive indicator of subtle cognitive disturbance than conventional speed or accuracy measures and may have potential in the assessment of mild cognitive impairment in patients with non-central nervous system cancers. (JINS, 2018, 24, 724-734).
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Du H, Wang L. Reliabilities of Intraindividual Variability Indicators with Autocorrelated Longitudinal Data: Implications for Longitudinal Study Designs. Multivariate Behav Res 2018; 53:502-520. [PMID: 29683725 DOI: 10.1080/00273171.2018.1457939] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Intraindividual variability can be measured by the intraindividual standard deviation ([Formula: see text]), intraindividual variance ([Formula: see text]), estimated hth-order autocorrelation coefficient ([Formula: see text]), and mean square successive difference ([Formula: see text]). Unresolved issues exist in the research on reliabilities of intraindividual variability indicators: (1) previous research only studied conditions with 0 autocorrelations in the longitudinal responses; (2) the reliabilities of [Formula: see text] and [Formula: see text] have not been studied. The current study investigates reliabilities of [Formula: see text], [Formula: see text], [Formula: see text], [Formula: see text], and the intraindividual mean, with autocorrelated longitudinal data. Reliability estimates of the indicators were obtained through Monte Carlo simulations. The impact of influential factors on reliabilities of the intraindividual variability indicators is summarized, and the reliabilities are compared across the indicators. Generally, all the studied indicators of intraindividual variability were more reliable with a more reliable measurement scale and more assessments. The reliabilities of [Formula: see text] were generally lower than those of [Formula: see text] and [Formula: see text], the reliabilities of [Formula: see text] were usually between those of [Formula: see text] and [Formula: see text] unless the scale reliability was large and/or the interindividual standard deviation in autocorrelation coefficients was large, and the reliabilities of the intraindividual mean were generally the highest. An R function is provided for planning longitudinal studies to ensure sufficient reliabilities of the intraindividual indicators are achieved.
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Affiliation(s)
- Han Du
- a University of California , Los Angeles
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Abstract
OBJECTIVES Intraindividual variability increases with age, but the relative strength of association with cognitive domains is still unclear. The objective of this study was to examine the relation between cognitive domains and the shape and spread of response time (RT) distributions as indexed by intraindividual standard deviation (ISD), and ex-Gaussian parameters (μ, σ, τ). METHODS Healthy adults (40 young [aged 18-30 years], 40 young-old [aged 65-74 years], and 41 old-old [aged 75-85 years]) completed neuropsychological testing and a touch-screen attention task from which ISD and ex-Gaussian parameters were derived. The relation between RT performance and cognitive domains (memory, processing speed, executive functioning) was examined with structural equation modeling (SEM), and the predictive power of RT distribution indices over age was investigated with linear regression. RESULTS ISD, μ, and τ, but not σ, showed a linear increase with age group. An SEM showed that independent of age, τ was most strongly associated with executive functioning, while μ exhibited less critical associations. Linear regression indicated that μ and τ explained a significant portion of variance in processing speed and executive ability in addition to age group. Memory was more parsimoniously predicted by age, without any significant contribution of ex-Gaussian parameters. CONCLUSIONS The findings suggest that exceptionally slow responses convey attention lapses through wavering of cognitive control, which strongly correspond to executive functioning tests. General slowing and extremely slow responses predicted processing speed and executive performance beyond age group, indicating that RT metrics are sensitive to differences in cognitive ability. (JINS, 2018, 24, 456-465).
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Srnka K, Seidenberg M, Hermann B, Jones J. Intraindividual variability in attentional vigilance in children with epilepsy. Epilepsy Behav 2018; 79:42-5. [PMID: 29247964 DOI: 10.1016/j.yebeh.2017.11.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2017] [Revised: 10/31/2017] [Accepted: 11/01/2017] [Indexed: 11/20/2022]
Abstract
Attentional vigilance, the ability to maintain focus over time, is frequently impaired in childhood epilepsy. Typically, indices of Omissions (failure to detect a target) and Commissions (responding to a nontarget) are considered primary indices of attentional vigilance. Recently, the concept of intraindividual variability (IIV) has been identified as an important measure of attentional vigilance in several pediatric and adult clinical populations, but has not yet been systematically examined in childhood epilepsy. Here, we examined IIV on the Connors Continuous Performance Task-II (CCPT-II) for 144 newly diagnosed children with epilepsy (age 8-18years) and a matched age group of healthy children (n=82). Intraindividual variability showed a large effect size difference (d=0.68) between groups. In addition, IIV significantly predicted both intellectual functioning and academic achievement. These findings support the utility of examining IIV in the assessment of attentional ability in childhood epilepsy.
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Wood J, Oravecz Z, Vogel N, Benson L, Chow SM, Cole P, Conroy DE, Pincus AL, Ram N. Modeling Intraindividual Dynamics Using Stochastic Differential Equations: Age Differences in Affect Regulation. J Gerontol B Psychol Sci Soc Sci 2017; 73:171-184. [PMID: 28329860 DOI: 10.1093/geronb/gbx013] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2016] [Accepted: 01/25/2017] [Indexed: 11/14/2022] Open
Abstract
Objectives Life-span theories of aging suggest improvements and decrements in individuals' ability to regulate affect. Dynamic process models, with intensive longitudinal data, provide new opportunities to articulate specific theories about individual differences in intraindividual dynamics. This paper illustrates a method for operationalizing affect dynamics using a multilevel stochastic differential equation (SDE) model, and examines how those dynamics differ with age and trait-level tendencies to deploy emotion regulation strategies (reappraisal and suppression). Method Univariate multilevel SDE models, estimated in a Bayesian framework, were fit to 21 days of ecological momentary assessments of affect valence and arousal (average 6.93/day, SD = 1.89) obtained from 150 adults (age 18-89 years)-specifically capturing temporal dynamics of individuals' core affect in terms of attractor point, reactivity to biopsychosocial (BPS) inputs, and attractor strength. Results Older age was associated with higher arousal attractor point and less BPS-related reactivity. Greater use of reappraisal was associated with lower valence attractor point. Intraindividual variability in regulation strategy use was associated with greater BPS-related reactivity and attractor strength, but in different ways for valence and arousal. Discussion The results highlight the utility of SDE models for studying affect dynamics and informing theoretical predictions about how intraindividual dynamics change over the life course.
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Affiliation(s)
- Julie Wood
- Department of Human Development & Family Studies, Pennsylvania State University, University Park
| | - Zita Oravecz
- Department of Human Development & Family Studies, Pennsylvania State University, University Park
| | - Nina Vogel
- Department of Psychology, Humboldt University, Berlin, Germany.,German Institute for Economic Research (DIW), Berlin, Germany
| | - Lizbeth Benson
- Department of Human Development & Family Studies, Pennsylvania State University, University Park
| | - Sy-Miin Chow
- Department of Human Development & Family Studies, Pennsylvania State University, University Park
| | - Pamela Cole
- Department of Psychology, Pennsylvania State University, University Park
| | - David E Conroy
- Department of Kinesiology, Pennsylvania State University, University Park.,Department of Preventive Medicine, Northwestern University, Chicago, Illinois
| | - Aaron L Pincus
- Department of Psychology, Pennsylvania State University, University Park
| | - Nilam Ram
- Department of Human Development & Family Studies, Pennsylvania State University, University Park.,German Institute for Economic Research (DIW), Berlin, Germany
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Benson L, Ram N, Almeida DM, Zautra AJ, Ong AD. Fusing Biodiversity Metrics into Investigations of Daily Life: Illustrations and Recommendations With Emodiversity. J Gerontol B Psychol Sci Soc Sci 2017; 73:75-86. [PMID: 28379556 PMCID: PMC5939690 DOI: 10.1093/geronb/gbx025] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2016] [Accepted: 02/21/2017] [Indexed: 11/13/2022] Open
Abstract
Objectives Functionalist emotion and ecological systems theories suggest emodiversity-the variety and relative abundance of individuals' emotion experiences-is beneficial for psychological and physical health and may change with age. This paper examines and provides recommendations for operationalization of diversity-type intraindividual variability (IIV) constructs using intensive longitudinal data, and demonstrates the utility of emodiversity by examining its links to physical health moderated by mean levels of emotion and age. Method Using data from a daily diary study of 138 adults (age 40 to 65 years), we consider how item selection, response scale, choice of diversity index, and number of occasions enable/constrain mapping to theory, measurement reliability, and empirical inquiry. Results Item selection and response scale had limited influence on rank-order differences in diversity. Reliable measurement (r ≥ .8) required a minimum of 6 to 12 occasions depending on choice of index, theoretical conception, study design, and distribution of diversity scores. The empirical findings suggest mean level of negative affect, rather than age, moderates the relation between negative emodiversity and health. Discussion This study provides recommendations for the calculation of diversity-type IIV constructs and illustrates the potential for study of emodiversity to contribute to understanding of successful aging.
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Affiliation(s)
- Lizbeth Benson
- Department of Human Development and Family Studies, Pennsylvania State University, University Park
| | - Nilam Ram
- Department of Human Development and Family Studies, Pennsylvania State University, University Park
- German Institute for Economic Research (DIW), Berlin, Germany
| | - David M Almeida
- Department of Human Development and Family Studies, Pennsylvania State University, University Park
| | - Alex J Zautra
- Department of Psychology, Arizona State University, Tempe
| | - Anthony D Ong
- Department of Human Development, Cornell University, Ithaca, New York
- Division of Geriatrics and Palliative Medicine, Weill Cornell Medical College, New York
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Fagot D, Chicherio C, Albinet CT, André N, Audiffren M. The impact of physical activity and sex differences on intraindividual variability in inhibitory performance in older adults. Neuropsychol Dev Cogn B Aging Neuropsychol Cogn 2017; 26:1-23. [PMID: 28868969 DOI: 10.1080/13825585.2017.1372357] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
It is well-known that processing speed and executive functions decline with advancing age. However, physical activity (PA) has a positive impact on cognitive performances in aging, specifically for inhibition. Less is known concerning intraindividual variability (iiV) in reaction times. This study aims to investigate the influence of PA and sex differences on iiV in inhibitory performance during aging. Healthy adults were divided into active and sedentary groups according to PA level. To analyse iiV in reaction times, individual mean, standard deviation and the ex-Gaussian parameters were considered. An interaction between activity level and sex was revealed, sedentary females being slower and more variable than sedentary men. No sex differences were found in the active groups. These results indicate that the negative impact of sedentariness on cognitive performance in older age is stronger for females. The present findings underline the need to consider sex differences in active aging approaches.
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Affiliation(s)
- Delphine Fagot
- a Center for Interdisciplinary Study of Gerontology and Vulnerability , University of Geneva, Switzerland and Swiss National Center of Competence in Research LIVES-Overcoming vulnerability: life course perspectives , Switzerland
| | - Christian Chicherio
- b Center for Interdisciplinary Study of Gerontology and Vulnerability , Switzerland and Neurology Clinic , Geneva , Switzerland.,c Neurology Clinic, Department of Clinical Neurosciences , Geneva University Hospitals , Geneva , Switzerland
| | - Cédric T Albinet
- d CeRCA (CNRS-UMR 7295), Laboratoire Sciences de la Cognition, Technologie, Ergonomie (SCoTE) , Université de Toulouse, INU Champollion , Albi , France
| | - Nathalie André
- e CeRCA ('CNRS-UMR 7295), Faculty of Sport Sciences , University of Poitiers , Poitiers , France
| | - Michel Audiffren
- e CeRCA ('CNRS-UMR 7295), Faculty of Sport Sciences , University of Poitiers , Poitiers , France
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Bunce D, Haynes BI, Lord SR, Gschwind YJ, Kochan NA, Reppermund S, Brodaty H, Sachdev PS, Delbaere K. Intraindividual Stepping Reaction Time Variability Predicts Falls in Older Adults With Mild Cognitive Impairment. J Gerontol A Biol Sci Med Sci 2017; 72:832-837. [PMID: 27591431 DOI: 10.1093/gerona/glw164] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2016] [Accepted: 07/26/2016] [Indexed: 11/14/2022] Open
Abstract
Background Reaction time measures have considerable potential to aid neuropsychological assessment in a variety of health care settings. One such measure, the intraindividual reaction time variability (IIV), is of particular interest as it is thought to reflect neurobiological disturbance. IIV is associated with a variety of age-related neurological disorders, as well as gait impairment and future falls in older adults. However, although persons diagnosed with Mild Cognitive Impairment (MCI) are at high risk of falling, the association between IIV and prospective falls is unknown. Methods We conducted a longitudinal cohort study in cognitively intact (n = 271) and MCI (n = 154) community-dwelling adults aged 70-90 years. IIV was assessed through a variety of measures including simple and choice hand reaction time and choice stepping reaction time tasks (CSRT), the latter administered as a single task and also with a secondary working memory task. Results Logistic regression did not show an association between IIV on the hand-held tasks and falls. Greater IIV in both CSRT tasks, however, did significantly increase the risk of future falls. This effect was specific to the MCI group, with a stronger effect in persons exhibiting gait, posture, or physiological impairment. Conclusions The findings suggest that increased stepping IIV may indicate compromised neural circuitry involved in executive function, gait, and posture in persons with MCI increasing their risk of falling. IIV measures have potential to assess neurobiological disturbance underlying physical and cognitive dysfunction in old age, and aid fall risk assessment and routine care in community and health care settings.
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Affiliation(s)
- David Bunce
- School of Psychology, University of Leeds, UK.,Centre for Health Brain Ageing (CHeBA), School of Psychiatry and
| | | | - Stephen R Lord
- Falls and Balance Research Group, Neuroscience Research Australia, University of New South Wales, Sydney, Australia
| | - Yves J Gschwind
- Falls and Balance Research Group, Neuroscience Research Australia, University of New South Wales, Sydney, Australia
| | - Nicole A Kochan
- Centre for Health Brain Ageing (CHeBA), School of Psychiatry and.,Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, New South Wales, Australia
| | - Simone Reppermund
- Centre for Health Brain Ageing (CHeBA), School of Psychiatry and.,Department of Developmental Disability Neuropsychiatry and
| | - Henry Brodaty
- Centre for Health Brain Ageing (CHeBA), School of Psychiatry and.,Dementia Collaborative Research Centre-Assessment and Better Care, School of Psychiatry, University of New South Wales, Sydney, Australia.,Academic Department for Old Age Psychiatry, Prince of Wales Hospital, Sydney, New South Wales, Australia
| | - Perminder S Sachdev
- Centre for Health Brain Ageing (CHeBA), School of Psychiatry and.,Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, New South Wales, Australia
| | - Kim Delbaere
- Falls and Balance Research Group, Neuroscience Research Australia, University of New South Wales, Sydney, Australia
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Haynes BI, Bauermeister S, Bunce D. A Systematic Review of Longitudinal Associations Between Reaction Time Intraindividual Variability and Age-Related Cognitive Decline or Impairment, Dementia, and Mortality. J Int Neuropsychol Soc 2017; 23:431-45. [PMID: 28462758 DOI: 10.1017/S1355617717000236] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
OBJECTIVES Intraindividual variability (IIV) in reaction time refers to the trial-to-trial fluctuations in responding across a given cognitive task. Cross-sectional research suggests that IIV increases with normal and neuropathological ageing and it may serve as a marker of neurobiological integrity. This raises the possibility that IIV may also predict future cognitive decline and, indeed, neuropathology. Therefore, we conducted a systematic review to address these issues. METHODS A search of electronic databases Embase, Medline, PsycINFO, and Web of Science was completed on May 17, 2016 that identified longitudinal investigations of IIV in middle-aged or older adults. RESULTS A total of 688 studies were initially identified of which 22 met the inclusion criteria. Nine included longitudinal IIV measures and 17 predicted subsequent outcome (cognitive decline or impairment, dementia, mortality) from baseline IIV. The results suggested IIV increased over time, particularly in participants aged over 75 years. Greater baseline IIV was consistently associated with increased risk of adverse outcomes including cognitive decline or impairment, and mortality. CONCLUSIONS Increased IIV over time is associated with normal ageing. However, further increases in IIV over and above those found in normal ageing may be a risk factor for future cognitive impairment or mortality. Measures of IIV may, therefore, have considerable potential as a supplement to existing clinical assessment to aid identification of individuals at risk of adverse outcomes such as dementia or death. (JINS, 2017, 23, 431-445).
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Blaxton JM, Bergeman CS, Whitehead BR, Braun ME, Payne JD. Relationships Among Nightly Sleep Quality, Daily Stress, and Daily Affect. J Gerontol B Psychol Sci Soc Sci 2017; 72:363-372. [PMID: 26307483 DOI: 10.1093/geronb/gbv060] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2014] [Accepted: 06/10/2015] [Indexed: 11/14/2022] Open
Abstract
Objectives. We explored the prospective, microlevel relationship between nightly sleep quality (SQ) and the subsequent day's stress on positive (PA) and negative affect (NA) as well as the moderating relationships between nightly SQ, subsequent stress, and subsequent PA on NA. We investigated whether age moderated these relationships. Method. We collected 56 days of sleep, stress, and affect data using daily diary questionnaires (N = 552). We used multilevel modeling to assess relationships at the between- and within-person levels. Results. Daily increases in SQ and decreases in stress interacted to predict higher daily PA and lower daily NA. Better SQ in older adults enhanced the benefits of PA on the stress-NA relationship more during times of low stress, whereas better sleep in younger adults enhanced the benefits of PA more during times of high stress. Between-person effects were stronger predictors of well-being outcomes than within-person variability. Discussion. The combination of good SQ and higher PA buffered the impact of stress on NA. The moderating impact of age suggests that sleep and stress play different roles across adulthood. Targeting intervention and prevention strategies to improve SQ and enhance PA could disrupt the detrimental relationship between daily stress and NA.
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Affiliation(s)
| | | | | | - Marcia E Braun
- Department of Psychology, University of Notre Dame, Indiana
| | - Jessic D Payne
- Department of Psychology, University of Notre Dame, Indiana
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Segerstrom SC, Sephton SE, Westgate PM. Intraindividual variability in cortisol: Approaches, illustrations, and recommendations. Psychoneuroendocrinology 2017; 78:114-124. [PMID: 28192775 PMCID: PMC5362320 DOI: 10.1016/j.psyneuen.2017.01.026] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2016] [Revised: 01/22/2017] [Accepted: 01/24/2017] [Indexed: 11/26/2022]
Abstract
Most of the variance in diurnal cortisol is attributable to intraindividual variability (IIV), defined as relatively short-term, reversible changes. Multiple methods for measuring IIV have been proposed, and some have already been applied to cortisol IIV. In the present review, measurement methods are described and applied to simulated cortisol data with known underlying differences in IIV and to real cortisol data from first-year law students. More slope variance and more residual or net variance were well captured by their individual standard deviations. Explorations of reliability suggested that 10 slopes and 50 residuals result in reliable and stable estimates of the individual standard deviations. A data-analytic plan for cortisol IIV is provided.
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Affiliation(s)
- Suzanne C. Segerstrom
- Department of Psychology, University of Kentucky, 125 Kastle Hall, Lexington, KY 40506-0044, Phone 859-257-4549,
| | - Sandra E. Sephton
- Department of Psychological and Brain Sciences, University of Louisville, 317 Life Sciences Building, Louisville, KY 40292,
| | - Philip M. Westgate
- Department of Biostatistics, University of Kentucky, 111 Washington Avenue, Lexington, KY 40536,
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Haynes BI, Bunce D, Kochan NA, Wen W, Brodaty H, Sachdev PS. Associations between reaction time measures and white matter hyperintensities in very old age. Neuropsychologia 2017; 96:249-255. [PMID: 28115193 DOI: 10.1016/j.neuropsychologia.2017.01.021] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2016] [Revised: 12/23/2016] [Accepted: 01/20/2017] [Indexed: 10/20/2022]
Abstract
In old age, a relationship has been reported between intraindividual variability (IIV) in reaction time and white matter integrity as evidenced by white matter hyperintensities (WMH). However, it is unclear how far such associations are due to incipient neurodegenerative pathology in the samples investigated. The present study examined the relationship between IIV and WMH in older individuals (N=526) drawn from the Sydney Memory and Ageing Study. Using a complex reaction time (RT) task, greater IIV and mean-RT were related to a higher WMH burden in the frontal lobe. Critically, significant associations remained having taken future dementia into account suggesting that they were not explained by incipient dementia. Additionally, independent measures of executive function accounted for the association between RT metrics and WHM. The results are consistent with the view that frontally-supported cognitive processes are involved in IIV-WMH relations, and that RT measures are sensitive to compromise in white matter structures in non-demented older individuals.
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Affiliation(s)
- Becky I Haynes
- School of Psychology, Faculty of Medicine and Health, University of Leeds, Leeds, UK
| | - David Bunce
- School of Psychology, Faculty of Medicine and Health, University of Leeds, Leeds, UK; Centre for Health Brain Ageing (CHeBA), School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, Australia.
| | - Nicole A Kochan
- Centre for Health Brain Ageing (CHeBA), School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, Australia; Neuropsychiatric Institute, Prince of Wales Hospital, Barker Street, Randwick, NSW 2031, Australia
| | - Wei Wen
- Centre for Health Brain Ageing (CHeBA), School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, Australia; Neuropsychiatric Institute, Prince of Wales Hospital, Barker Street, Randwick, NSW 2031, Australia
| | - Henry Brodaty
- Centre for Health Brain Ageing (CHeBA), School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, Australia; Dementia Collaborative Research Centre, School of Psychiatry, UNSW Medicine, The University of New South Wales, Sydney, NSW 2052, Australia; Academic Department for Old Age Psychiatry, Prince of Wales Hospital, Avoca Street, Randwick, NSW 2031, Australia
| | - Perminder S Sachdev
- Centre for Health Brain Ageing (CHeBA), School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, Australia; Neuropsychiatric Institute, Prince of Wales Hospital, Barker Street, Randwick, NSW 2031, Australia
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