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Wai J, Kell HJ, Worrell FC. Method considerations for school psychology from longitudinal research on gifted students. J Sch Psychol 2024; 103:101269. [PMID: 38432738 DOI: 10.1016/j.jsp.2023.101269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 04/06/2023] [Accepted: 12/01/2023] [Indexed: 03/05/2024]
Abstract
This article draws from longitudinal research on gifted students to provide method considerations for school psychology research. First, we provide some background of gifted and talented education in the United States. Then, drawing from multiple longitudinal samples of gifted students, in particular the Study of Mathematically Precocious Youth (SMPY), we illustrate the role of replications, including constructive replications. In the middle two sections, we highlight methodological design features focused first on predictors, and then on outcomes, considering types, magnitude, and breadth. Finally, we provide additional considerations and future directions, including expanding the outcome domain, overcoming the limitations of past gifted and talented research studies, and suggesting possibilities for future research. Our article may help improve school psychology research as well as assist school psychology researchers interested in conducting their own longitudinal studies using gifted samples.
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Affiliation(s)
- Jonathan Wai
- Dept. of Education Reform and Dept. of Psychology, University of Arkansas, Fayetteville, AR, USA.
| | - Harrison J Kell
- Human Resources Research Organization (HumRRO), Alexandria, VA, USA.
| | - Frank C Worrell
- Berkeley School of Education, University of California, Berkeley, CA, USA.
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Kleineidam L, Stark M, Riedel-Heller SG, Pabst A, Schmiedek F, Streit F, Rietschel M, Klinger-König J, Grabe HJ, Erhardt A, Gelbrich G, Schmidt B, Berger K, Wagner M. The assessment of cognitive function in the German National Cohort (NAKO) - Associations of demographics and psychiatric symptoms with cognitive test performance. World J Biol Psychiatry 2023; 24:909-923. [PMID: 35175181 DOI: 10.1080/15622975.2021.2011408] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 11/23/2021] [Indexed: 01/03/2023]
Abstract
OBJECTIVES To describe the cognitive test battery of the German National Cohort (NAKO), a population-based mega cohort of 205,000 randomly selected participants, and to examine associations with demographic variables and selected psychiatric and neurological conditions. METHODS Initial data from 96,401 participants providing data on the cognitive performance measured by a brief cognitive test battery (12-word list recall task, semantic fluency, Stroop test, digit span backwards) was examined. Test results were summarised in cognitive domain scores using exploratory and confirmatory factor analyses. Associations with sociodemographic and psychiatric factors were analysed using linear regression and generalised additive models. RESULTS Cognitive test results were best represented by two domain scores reflecting memory and executive functions. Lower cognitive functions were associated with increasing age and male sex. Higher education and absence of childhood trauma were associated with better cognitive function. Moderate to severe levels of anxiety and depression, and a history of stroke, were related to lower cognitive function with a stronger effect on executive function as compared to memory. Some associations with cognition differed by German language proficiency. CONCLUSIONS The NAKO cognitive test battery and the derived cognitive domain scores for memory and executive function are sensitive measures of cognition.
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Affiliation(s)
- Luca Kleineidam
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Melina Stark
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Steffi G Riedel-Heller
- Institute of Social Medicine, Occupational Health and Public Health (ISAP), Medical Faculty, University of Leipzig, Leipzig, Germany
| | - Alexander Pabst
- Institute of Social Medicine, Occupational Health and Public Health (ISAP), Medical Faculty, University of Leipzig, Leipzig, Germany
| | - Florian Schmiedek
- Department of Education and Human Development, DIPF | Leibniz Institute for Research and Information in Education, Frankfurt am Main, Germany
- Institute of Psychology, Goethe University, Frankfurt am Main, Germany
- Center for Mind, Brain and Behavior, University of Marburg and Justus Liebig University Giessen, Germany
| | - Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Heidelberg University, Medical Faculty Mannheim, Mannheim, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Heidelberg University, Medical Faculty Mannheim, Mannheim, Germany
| | - Johanna Klinger-König
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Centre for Neurodegenerative Diseases (DZNE), Partner Site Rostock/Greifswald, Greifswald, Germany
| | - Angelika Erhardt
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, Julius-Maximilians-University, Wuerzburg, Germany
- Max Planck Institute for Psychiatry, Munich, Germany
| | - Götz Gelbrich
- Institute for Clinical Epidemiology and Biometry, Julius-Maximilians-University, Wuerzburg, Germany
- Clinical Trial Center Würzburg, University Hospital Würzburg, Würzburg, Germany
| | - Börge Schmidt
- Institute of Medical Informatics, Biometry and Epidemiology, University of Duisburg-Essen, University Hospital Essen, Essen, Germany
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Germany
| | - Michael Wagner
- Department of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital Bonn, Bonn, Germany
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
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Denckla CA, Dice ALE, Slopen N, Koenen KC, Tiemeier H. Mental health among bereaved youth in the ALSPAC birth cohort: Consideration of early sociodemographic precursors, cognitive ability, and type of loss. Dev Psychopathol 2023:1-12. [PMID: 37272542 PMCID: PMC10696131 DOI: 10.1017/s0954579423000512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
BACKGROUND Bereaved youth are at greater risk for adverse mental health outcomes, yet less is known about how social context shapes health for bereaved children. Ecosocial theory is employed to conceptualize bereavement in the context of sociodemographic factors. METHOD This longitudinal study used data from the Avon Longitudinal Study of Parents and Children. Of the 15,454 pregnancies enrolled, 5050 youth were still enrolled at age 16.5 and completed self-report questionnaires on life events and emotional/behavioral symptoms. RESULTS Sociodemographic precursors associated with parent, sibling, or close friend bereavement included maternal smoking, parental education levels, and financial difficulties. The significant yet small main effect of higher cognitive ability, assessed at age 8, on reduced emotional/behavioral symptoms at age 16.5 (β = -0.01, SE = 0.00, p < 0.001) did not interact with bereavement. Bereavement of a parent, sibling, or close friend was associated with a 0.19 point higher emotional/behavioral symptom log score compared to non-bereaved youth (95% CI: 0.10-0.28), across emotional, conduct, and hyperactivity subscales. CONCLUSIONS Descriptive findings suggest sociodemographic precursors are associated with bereavement. While there was an association between the bereavement of a parent, sibling, or close friend and elevated emotional/behavioral symptoms, cognitive ability did not moderate that effect.
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Affiliation(s)
- Christy A. Denckla
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | - Natalie Slopen
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Karestan C. Koenen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health Boston, MA, USA
| | - Henning Tiemeier
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Judd N, Sauce B, Klingberg T. Schooling substantially improves intelligence, but neither lessens nor widens the impacts of socioeconomics and genetics. NPJ SCIENCE OF LEARNING 2022; 7:33. [PMID: 36522329 PMCID: PMC9755250 DOI: 10.1038/s41539-022-00148-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 11/25/2022] [Indexed: 06/17/2023]
Abstract
Schooling, socioeconomic status (SES), and genetics all impact intelligence. However, it is unclear to what extent their contributions are unique and if they interact. Here we used a multi-trait polygenic score for cognition (cogPGS) with a quasi-experimental regression discontinuity design to isolate how months of schooling relate to intelligence in 6567 children (aged 9-11). We found large, independent effects of schooling (β ~ 0.15), cogPGS (β ~ 0.10), and SES (β ~ 0.20) on working memory, crystallized (cIQ), and fluid intelligence (fIQ). Notably, two years of schooling had a larger effect on intelligence than the lifetime consequences, since birth, of SES or cogPGS-based inequalities. However, schooling showed no interaction with cogPGS or SES for the three intelligence domains tested. While schooling had strong main effects on intelligence, it did not lessen, nor widen the impact of these preexisting SES or genetic factors.
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Affiliation(s)
- Nicholas Judd
- Department of Neuroscience, Karolinska Institute, Stockholm, Sweden.
- Cognitive Neuroscience Department, Donders Institute for Brain, Cognition, and Behavior, Radboud University Medical Center, Nijmegen, The Netherlands.
| | - Bruno Sauce
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Torkel Klingberg
- Department of Neuroscience, Karolinska Institute, Stockholm, Sweden
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Kell HJ, McCabe KO, Lubinski D, Benbow CP. Wrecked by Success? Not to Worry. PERSPECTIVES ON PSYCHOLOGICAL SCIENCE 2022; 17:1291-1321. [PMID: 35686876 DOI: 10.1177/17456916211055637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
We examined the wrecked-by-success hypothesis. Initially formalized by Sigmund Freud, this hypothesis has become pervasive throughout the humanities, popular press, and modern scientific literature. The hypothesis implies that truly outstanding occupational success often exacts a heavy toll on psychological, interpersonal, and physical well-being. Study 1 tested this hypothesis in three cohorts of 1,826 high-potential, intellectually gifted individuals. Participants with exceptionally successful careers were compared with those of their gender-equivalent intellectual peers with more typical careers on well-known measures of psychological well-being, flourishing, core self-evaluations, and medical maladies. Family relationships, comfort with aging, and life satisfaction were also assessed. Across all three cohorts, those deemed occupationally outstanding individuals were similar to or healthier than their intellectual peers across these metrics. Study 2 served as a constructive replication of Study 1 but used a different high-potential sample: 496 elite science/technology/engineering/mathematics (STEM) doctoral students identified in 1992 and longitudinally tracked for 25 years. Study 2 replicated the findings from Study 1 in all important respects. Both studies found that exceptionally successful careers were not associated with medical frailty, psychological maladjustment, and compromised interpersonal and family relationships; if anything, overall, people with exceptionally successful careers were medically and psychologically better off.
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Affiliation(s)
- Harrison J Kell
- Center for Education and Career Development, Educational Testing Service, Princeton, New Jersey
| | | | - David Lubinski
- Department of Psychology and Human Development, Vanderbilt University
| | - Camilla P Benbow
- Department of Psychology and Human Development, Vanderbilt University
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Nichols ES, Wild CJ, Owen AM, Soddu A. Cognition across the Lifespan: Investigating Age, Sex, and Other Sociodemographic Influences. Behav Sci (Basel) 2021; 11:bs11040051. [PMID: 33924660 PMCID: PMC8070049 DOI: 10.3390/bs11040051] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 04/10/2021] [Accepted: 04/11/2021] [Indexed: 11/16/2022] Open
Abstract
Maintaining cognitive health across the lifespan has been the focus of a multi-billion-dollar industry. In order to guide treatment and interventions, a clear understanding of the way that proficiency in different cognitive domains develops and declines in both sexes across the lifespan is necessary. Additionally, there are sex differences in a range of other factors, including psychiatric illnesses such as anxiety, depression, and substance use, that are also known to affect cognition, although the scale of this interaction is unknown. Our objective was to assess differences in cognitive function across the lifespan in men and women in a large, representative sample. Leveraging online cognitive testing, a sample of 9451 men and 9451 women ranging in age from 12 to 69 (M = 28.21) matched on socio-demographic factors were studied. Segmented regression was used to model three cognitive domains—working memory, verbal abilities, and reasoning. Sex differences in all three domains were minimal; however, after broadening the sample in terms of socio-demographic factors, sex differences appeared. These results suggest that cognition across the lifespan differs for men and women, but is greatly influenced by environmental factors. We discuss these findings within a framework that describes sex differences in cognition as likely guided by a complex interplay between biology and environment.
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Affiliation(s)
- Emily S. Nichols
- Faculty of Education, Western University, London, ON N6A 3K7, Canada
- Brain and Mind Institute, Western University, London, ON N6A 3K7, Canada; (C.J.W.); (A.M.O.); (A.S.)
- Correspondence: ; Tel.: +1-519-661-2111 (ext. 89151)
| | - Conor J. Wild
- Brain and Mind Institute, Western University, London, ON N6A 3K7, Canada; (C.J.W.); (A.M.O.); (A.S.)
| | - Adrian M. Owen
- Brain and Mind Institute, Western University, London, ON N6A 3K7, Canada; (C.J.W.); (A.M.O.); (A.S.)
- Department of Physiology and Pharmacology, Western University, London, ON N6A 3K7, Canada
- Department of Psychology, Western University, London, ON N6A 3K7, Canada
| | - Andrea Soddu
- Brain and Mind Institute, Western University, London, ON N6A 3K7, Canada; (C.J.W.); (A.M.O.); (A.S.)
- Department of Physics and Astronomy, Western University, London, ON N6A 3K7, Canada
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Altschul D, Starr J, Deary I. Blood pressure and cognitive function across the eighth decade: a prospective study of the Lothian Birth Cohort of 1936. BMJ Open 2020; 10:e033990. [PMID: 32709639 PMCID: PMC7380861 DOI: 10.1136/bmjopen-2019-033990] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Revised: 05/26/2020] [Accepted: 06/18/2020] [Indexed: 12/26/2022] Open
Abstract
OBJECTIVES We investigated the associations among blood pressure and cognitive functions across the eighth decade, while accounting for antihypertensive medication and lifetime stability in cognitive function. DESIGN Prospective cohort study. SETTING This study used data from the Lothian Birth Cohort 1936 (LBC1936) study, which recruited participants living in the Lothian region of Scotland when aged 70 years, most of whom had completed an intelligence test at age 11 years. PARTICIPANTS 1091 members of the LBC1936 with assessments of cognitive ability in childhood and older adulthood, and blood pressure measurements in older adulthood. PRIMARY AND SECONDARY OUTCOME MEASURES Participants were followed up at ages 70, 73, 76 and 79, and latent growth curve models and linear mixed models were used to analyse both cognitive functions and blood pressure as primary outcomes. RESULTS Blood pressure followed a quadratic trajectory in the eighth decade: on average blood pressure rose in the first waves and subsequently fell. Intercepts and trajectories were not associated between blood pressure and cognitive functions. Women with higher early-life cognitive function generally had lower blood pressure during the eighth decade. Being prescribed antihypertensive medication was associated with lower blood pressure, but not with better cognitive function. CONCLUSIONS Our findings indicate that women with higher early-life cognitive function had lower later-life blood pressure. However, we did not find support for the hypothesis that rises in blood pressure and worse cognitive decline are associated with one another in the eighth decade.
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Affiliation(s)
- Drew Altschul
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - John Starr
- Geriatric Medicine, Royal Victoria Hospital, Edinburgh, UK
| | - Ian Deary
- Department of Psychology, University of Edinburgh, Edinburgh, UK
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Altschul DM, Wraw C, Der G, Gale CR, Deary IJ. Hypertension Development by Midlife and the Roles of Premorbid Cognitive Function, Sex, and Their Interaction. Hypertension 2019; 73:812-819. [PMID: 30776973 PMCID: PMC6426348 DOI: 10.1161/hypertensionaha.118.12164] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Higher early-life cognitive function is associated with better later-life health outcomes, including hypertension. Associations between higher prior cognitive function and less hypertension persist even when accounting for socioeconomic status, but socioeconomic status-hypertension gradients are more pronounced in women. We predicted that differences in hypertension development between sexes might be associated with cognitive function and its interaction with sex, such that higher early-life cognitive function would be associated with lower hypertension risk more in women than in men. We used accelerated failure time modeling with the National Longitudinal Study of Youth 1979. Cognitive function was assessed in youth, when participants were aged between 14 and 21 years. Of 2572 men and 2679 women who completed all assessments, 977 men and 940 women reported hypertension diagnoses by 2015. Socioeconomic status in youth and adulthood were investigated as covariates, as were components of adult socioeconomic status: education, occupational status, and family income. An SD of higher cognitive function in youth was associated with reduced hypertension risk (acceleration factor: ĉ=0.97; 95% CI, 0.96-0.99; P=0.001). The overall effect was stronger in women (sex×cognitive function: ĉ=0.97; 95% CI, 0.94-0.99; P=0.010); especially, higher functioning women were less at risk than their male counterparts. This interaction was itself attenuated by a sex by family income interaction. People with better cognitive function in youth, especially women, are less likely to develop hypertension later in life. Income differences accounted for these associations. Possible causal explanations are discussed.
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Affiliation(s)
- Drew M Altschul
- From the Department of Psychology (D.M.A., C.W., I.J.D.), University of Edinburgh, United Kingdom.,Centre for Cognitive Ageing and Cognitive Epidemiology (D.M.A., C.W., C.R.G., I.J.D.), University of Edinburgh, United Kingdom
| | - Christina Wraw
- From the Department of Psychology (D.M.A., C.W., I.J.D.), University of Edinburgh, United Kingdom.,Centre for Cognitive Ageing and Cognitive Epidemiology (D.M.A., C.W., C.R.G., I.J.D.), University of Edinburgh, United Kingdom
| | - Geoff Der
- MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, United Kingdom (G.D.)
| | - Catharine R Gale
- Centre for Cognitive Ageing and Cognitive Epidemiology (D.M.A., C.W., C.R.G., I.J.D.), University of Edinburgh, United Kingdom.,MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, United Kingdom (C.R.G.)
| | - Ian J Deary
- From the Department of Psychology (D.M.A., C.W., I.J.D.), University of Edinburgh, United Kingdom.,Centre for Cognitive Ageing and Cognitive Epidemiology (D.M.A., C.W., C.R.G., I.J.D.), University of Edinburgh, United Kingdom
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Persson BN, Lilienfeld SO. Social status as one key indicator of successful psychopathy: An initial empirical investigation. PERSONALITY AND INDIVIDUAL DIFFERENCES 2019. [DOI: 10.1016/j.paid.2019.01.020] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Wai J, Brown MI, Chabris CF. Using Standardized Test Scores to Include General Cognitive Ability in Education Research and Policy. J Intell 2018; 6:E37. [PMID: 31162464 PMCID: PMC6480800 DOI: 10.3390/jintelligence6030037] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Revised: 07/16/2018] [Accepted: 07/27/2018] [Indexed: 11/16/2022] Open
Abstract
In education research and education policy, much attention is paid to schools, curricula, and teachers, but little attention is paid to the characteristics of students. Differences in general cognitive ability (g) are often overlooked as a source of important variance among schools and in outcomes among students within schools. Standardized test scores such as the SAT and ACT are reasonably good proxies for g and are available for most incoming college students. Though the idea of g being important in education is quite old, we present contemporary evidence that colleges and universities in the United States vary considerably in the average cognitive ability of their students, which correlates strongly with other methods (including international methods) of ranking colleges. We also show that these g differences are reflected in the extent to which graduates of colleges are represented in various high-status and high-income occupations. Finally, we show how including individual-level measures of cognitive ability can substantially increase the statistical power of experiments designed to measure educational treatment effects. We conclude that education policy researchers should give more consideration to the concept of individual differences in cognitive ability as well as other factors.
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Affiliation(s)
- Jonathan Wai
- Department of Education Reform, University of Arkansas, Fayetteville, AR 72701, USA.
| | - Matt I Brown
- Autism & Developmental Medicine Institute, Geisinger Health System, Lewisburg, PA 17837, USA.
| | - Christopher F Chabris
- Autism & Developmental Medicine Institute, Geisinger Health System, Lewisburg, PA 17837, USA.
- Institute for Advanced Study in Toulouse, 31015 Toulouse, France.
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Hagenaars SP, Harris SE, Davies G, Hill WD, Liewald DCM, Ritchie SJ, Marioni RE, Fawns-Ritchie C, Cullen B, Malik R, Worrall BB, Sudlow CLM, Wardlaw JM, Gallacher J, Pell J, McIntosh AM, Smith DJ, Gale CR, Deary IJ. Shared genetic aetiology between cognitive functions and physical and mental health in UK Biobank (N=112 151) and 24 GWAS consortia. Mol Psychiatry 2016; 21:1624-1632. [PMID: 26809841 PMCID: PMC5078856 DOI: 10.1038/mp.2015.225] [Citation(s) in RCA: 235] [Impact Index Per Article: 29.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2015] [Revised: 11/19/2015] [Accepted: 12/07/2015] [Indexed: 12/23/2022]
Abstract
Causes of the well-documented association between low levels of cognitive functioning and many adverse neuropsychiatric outcomes, poorer physical health and earlier death remain unknown. We used linkage disequilibrium regression and polygenic profile scoring to test for shared genetic aetiology between cognitive functions and neuropsychiatric disorders and physical health. Using information provided by many published genome-wide association study consortia, we created polygenic profile scores for 24 vascular-metabolic, neuropsychiatric, physiological-anthropometric and cognitive traits in the participants of UK Biobank, a very large population-based sample (N=112 151). Pleiotropy between cognitive and health traits was quantified by deriving genetic correlations using summary genome-wide association study statistics and to the method of linkage disequilibrium score regression. Substantial and significant genetic correlations were observed between cognitive test scores in the UK Biobank sample and many of the mental and physical health-related traits and disorders assessed here. In addition, highly significant associations were observed between the cognitive test scores in the UK Biobank sample and many polygenic profile scores, including coronary artery disease, stroke, Alzheimer's disease, schizophrenia, autism, major depressive disorder, body mass index, intracranial volume, infant head circumference and childhood cognitive ability. Where disease diagnosis was available for UK Biobank participants, we were able to show that these results were not confounded by those who had the relevant disease. These findings indicate that a substantial level of pleiotropy exists between cognitive abilities and many human mental and physical health disorders and traits and that it can be used to predict phenotypic variance across samples.
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Affiliation(s)
- S P Hagenaars
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - S E Harris
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Medical Genetics Section, Centre for Genomic and Experimental Medicine, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, UK
| | - G Davies
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - W D Hill
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - D C M Liewald
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - S J Ritchie
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - R E Marioni
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Medical Genetics Section, Centre for Genomic and Experimental Medicine, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, UK
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - C Fawns-Ritchie
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - B Cullen
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - R Malik
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität, Munich, Germany
| | - METASTROKE Consortium, International Consortium for Blood Pressure GWAS
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
- Medical Genetics Section, Centre for Genomic and Experimental Medicine, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, UK
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität, Munich, Germany
- Department of Neurology, University of Virginia, Charlottesville, VA, USA
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Department of Psychiatry, University of Oxford, Oxford, UK
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - SpiroMeta Consortium
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
- Medical Genetics Section, Centre for Genomic and Experimental Medicine, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, UK
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität, Munich, Germany
- Department of Neurology, University of Virginia, Charlottesville, VA, USA
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Department of Psychiatry, University of Oxford, Oxford, UK
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - CHARGE Consortium Pulmonary Group, CHARGE Consortium Aging and Longevity Group
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
- Medical Genetics Section, Centre for Genomic and Experimental Medicine, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, UK
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität, Munich, Germany
- Department of Neurology, University of Virginia, Charlottesville, VA, USA
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Department of Psychiatry, University of Oxford, Oxford, UK
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - B B Worrall
- Department of Neurology, University of Virginia, Charlottesville, VA, USA
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - C L M Sudlow
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Medical Genetics Section, Centre for Genomic and Experimental Medicine, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - J M Wardlaw
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
| | - J Gallacher
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - J Pell
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - A M McIntosh
- Division of Psychiatry, University of Edinburgh, Edinburgh, UK
| | - D J Smith
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - C R Gale
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - I J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
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Rights JD, Sterba SK. The relationship between multilevel models and non-parametric multilevel mixture models: Discrete approximation of intraclass correlation, random coefficient distributions, and residual heteroscedasticity. THE BRITISH JOURNAL OF MATHEMATICAL AND STATISTICAL PSYCHOLOGY 2016; 69:316-343. [PMID: 27458827 DOI: 10.1111/bmsp.12073] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2015] [Revised: 05/16/2016] [Indexed: 06/06/2023]
Abstract
Multilevel data structures are common in the social sciences. Often, such nested data are analysed with multilevel models (MLMs) in which heterogeneity between clusters is modelled by continuously distributed random intercepts and/or slopes. Alternatively, the non-parametric multilevel regression mixture model (NPMM) can accommodate the same nested data structures through discrete latent class variation. The purpose of this article is to delineate analytic relationships between NPMM and MLM parameters that are useful for understanding the indirect interpretation of the NPMM as a non-parametric approximation of the MLM, with relaxed distributional assumptions. We define how seven standard and non-standard MLM specifications can be indirectly approximated by particular NPMM specifications. We provide formulas showing how the NPMM can serve as an approximation of the MLM in terms of intraclass correlation, random coefficient means and (co)variances, heteroscedasticity of residuals at level 1, and heteroscedasticity of residuals at level 2. Further, we discuss how these relationships can be useful in practice. The specific relationships are illustrated with simulated graphical demonstrations, and direct and indirect interpretations of NPMM classes are contrasted. We provide an R function to aid in implementing and visualizing an indirect interpretation of NPMM classes. An empirical example is presented and future directions are discussed.
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Abstract
BACKGROUND Few cognitive epidemiology studies on mental health have focused on the links between pre-morbid intelligence and self-reports of common mental disorders, such as depression, sleep difficulties, and mental health status. The current study examines these associations in 50-year-old adults. METHODS The study uses data from the 5793 participants in the National Longitudinal Survey of Youth 1979 cohort (NLSY-79) who responded to questions on mental health at age 50 and had IQ measured with the Armed Forces Qualification Test (AFQT) when they were aged between 15 and 23 years in 1980. Mental health outcomes were: life-time diagnosis of depression; the mental component score of the 12-item short-form Health Survey (SF-12); the 7-item Center for Epidemiological Studies Depression Scale (CES-D); and a summary measure of sleep difficulty. RESULTS & CONCLUSION Higher intelligence in youth is associated with a reduced risk of self-reported mental health problems at age 50, with age-at-first-interview and sex adjusted Bs as follows: CES-depression (B = - 0.16, C.I. - 0.19 to - 0.12, p < 0.001), sleep difficulties (B = - 0.11, C.I. - 0.13 to - 0.08, p < 0.001), and SF-12 mental health status (OR = 0.78, C.I. 0.72 to 0.85, p < 0.001; r = - 0.03 p = 0.075). Conversely, intelligence in youth is linked with an increased risk of receiving a diagnosis of depression by the age of 50 (OR 1.11, C.I. 1.01 to 1.22, p = 0.024; r = 0.03, p = 0.109). No sex differences were observed in the associations. Adjusting for adult SES accounted for most of the association between IQ and the mental health outcomes, except for having reported a diagnosis of depression, in which case adjusting for adult SES led to an increase in the size of the positive association (OR = 1.32, C.I. 1.16 to 1.51, p < 0.001).
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Affiliation(s)
- Christina Wraw
- Center for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh, Scotland EH8 9JZ, United Kingdom
| | - Ian J Deary
- Center for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh, Scotland EH8 9JZ, United Kingdom
| | - Geoff Der
- MRC/CSO Social & Public Health Sciences Unit, 200 Renfield Street, University of Glasgow, Glasgow G2 3QB, United Kingdom
| | - Catharine R Gale
- Center for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh, Scotland EH8 9JZ, United Kingdom; MRC Life Course Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton SO16 6YD, United Kingdom
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14
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Abstract
Background The link between intelligence in youth and all-cause mortality in later-life is well established. To better understand this relationship, the current study examines the links between pre-morbid intelligence and a number of specific health outcomes at age 50 using the NLSY-1979 cohort. Methods Participants were the 5793 participants in the NLSY-79 who responded to questions about health outcomes at age 50. Sixteen health outcomes were examined: two were summary measures (physical health and functional limitation), 9 were diagnosed illness conditions, 4 were self-reported conditions, and one was a measure of general health status. Linear and logistic regressions were used, as appropriate, to examine the relationship between intelligence in youth and the health outcomes. Age, sex and both childhood and adult SES, and its sub-components – income, education, & occupational prestige – are all adjusted for separately. Results & conclusion Higher pre-morbid intelligence is linked with better physical health at age 50, and a lower risk for a number of chronic health conditions. For example, a 1 SD higher score in IQ was significantly associated with increased odds of having good, very good, or excellent health, with an odds ratio of 1.70 (C.I. 1.55–1.86). Thirteen of the illness outcomes were significantly and negatively associated with IQ in youth; the odds ratios ranged from 0.85 for diabetes/high blood sugar to 0.65 for stroke, per one standard deviation higher score in IQ. Adjustment for childhood SES led to little attenuation but adult SES partially mediated the relationship for a number of conditions. Mediation by adult SES was not consistently explained by any one of its components—income, education, and occupation status. The current findings contribute to our understanding of lower intelligence as a risk factor for poor health and how this may contribute to health inequalities. We examined links between intelligence in youth and health at age 50 in NLSY-1979. Higher intelligence in youth is linked with better physical health at age 50. Higher intelligence in youth is linked with lower risk for chronic illnesses. Adult but not childhood SES partially mediated the intelligence–health relationship.
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Affiliation(s)
- Christina Wraw
- Center for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh, Scotland EH8 9JZ, United Kingdom
- Corresponding author.
| | - Ian J. Deary
- Center for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh, Scotland EH8 9JZ, United Kingdom
| | - Catharine R. Gale
- Center for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh, Scotland EH8 9JZ, United Kingdom
- MRC Life Course Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, SO16 6YD, United Kingdom
| | - Geoff Der
- MRC/CSO Social & Public Health Sciences Unit, University of Glasgow, 200 Renfield Street, Glasgow, G2 3QB, United Kingdom
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Limbers CA, Young D, Bryant W, Stephen M. Associations between family religious practices, internalizing/externalizing behaviors, and body mass index in obese youth. Int J Psychiatry Med 2015; 49:215-26. [PMID: 25921774 DOI: 10.1177/0091217415582191] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
The objective of the present study was to assess the associations among family religious practices, internalizing/externalizing behaviors, and body mass index in a sample of severely obese youth referred to an outpatient pediatric endocrinology clinic. The sample consisted of 43 obese youth (body mass index > 95th percentile) aged 6-16 years (mean age = 12.67 years). Approximately 93% of families endorsed their religious faith as Christian or Catholic. Parents of youth were administered a demographic questionnaire, religiosity questionnaire, and the Child Behavior Checklist. Three multiple linear regression models were examined with body mass index percentile, Child Behavior Checklist Internalizing Scale, and Child Behavior Checklist Externalizing Scale as outcome variables. A parent endorsing greater importance of religious faith in shaping family life was associated with lower child body mass index percentile (p < 0.05) in the present sample. Greater family attendance at religious services was associated with higher child body mass index percentile (p < 0.05). Our data suggest that church-based interventions may be one viable option for the delivery of lifestyle interventions in families of youth with severe obesity.
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Affiliation(s)
| | - Danielle Young
- Department of Psychology and Neuroscience, Baylor University, USA
| | - William Bryant
- Division of Pediatric Endocrinology, McLane Children's Hospital at Scott & White, Texas A&M University College of Medicine, USA
| | - Matthew Stephen
- Division of Pediatric Endocrinology, McLane Children's Hospital at Scott & White, Texas A&M University College of Medicine, USA
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Rai D, Hall W, Bebbington P, Skapinakis P, Hassiotis A, Weich S, Meltzer H, Moran P, Brugha T, Strydom A, Farrell M. Estimated verbal IQ and the odds of problem gambling: a population-based study. Psychol Med 2014; 44:1739-1749. [PMID: 24007680 DOI: 10.1017/s0033291713002195] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND The neurocognitive deficits and other correlates of problem gambling are also observable in individuals with lower cognitive abilities, suggesting that a low IQ may be a determinant of problem gambling. There has been very little research into this possibility. This study aimed to investigate the characteristics associated with problem gambling in a large population-based study in England, with a particular focus on IQ. METHOD The Adult Psychiatric Morbidity Survey (APMS) 2007 comprised detailed interviews with 7403 individuals living in private households in England. Problem gambling was ascertained using a questionnaire based on DSM-IV criteria. Verbal IQ was estimated using the National Adult Reading Test (NART). Confounders included socio-economic and demographic factors, common mental disorders, impulsivity, smoking, and hazardous drug and alcohol use. RESULTS More than two-thirds of the population reported engaging in some form of gambling in the previous year, but problem gambling was rare [prevalence 0.7%, 95% confidence interval (CI) 0.5-1.0]. The odds of problem gambling doubled with each standard deviation drop in estimated verbal IQ [adjusted odds ratio (OR) 2.1, 95% CI 1.3-3.4, p = 0.003], after adjusting for other characteristics associated with problem gambling including age, sex, socio-economic factors, drug and alcohol dependence, smoking, impulsivity and common mental disorders. There was no strong relationship observed between IQ and non-problem gambling. CONCLUSIONS People with lower IQs may be at a higher risk of problem gambling. Further work is required to replicate and study the mechanisms behind these findings, and may aid the understanding of problem gambling and inform preventative measures and interventions.
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Affiliation(s)
- D Rai
- Centre for Mental Health, Addiction and Suicide Research, School of Social and Community Medicine, University of Bristol, UK
| | - W Hall
- UQ Centre for Clinical Research, The University of Queensland, Royal Brisbane and Women's Hospital, Queensland, Australia
| | | | - P Skapinakis
- Centre for Mental Health, Addiction and Suicide Research, School of Social and Community Medicine, University of Bristol, UK
| | | | - S Weich
- Division of Mental Health and Wellbeing, Warwick Medical School, University of Warwick, Coventry, UK
| | - H Meltzer
- Department of Health Sciences, College of Medicine, Biological Sciences and Psychology, University of Leicester, UK
| | - P Moran
- Institute of Psychiatry, King's College London, UK
| | - T Brugha
- Department of Health Sciences, College of Medicine, Biological Sciences and Psychology, University of Leicester, UK
| | - A Strydom
- UCL Mental Health Sciences Unit, London, UK
| | - M Farrell
- National Drug and Alcohol Research Centre, University of New South Wales, Australia
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17
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Deary IJ, Pattie A, Starr JM. The Stability of Intelligence From Age 11 to Age 90 Years. Psychol Sci 2013; 24:2361-8. [DOI: 10.1177/0956797613486487] [Citation(s) in RCA: 93] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
As a foundation for studies of human cognitive aging, it is important to know the stability of individual differences in cognitive ability across the life course. Few studies of cognitive ability have tested the same individuals in youth and old age. We examined the stability and concurrent and predictive validity of individual differences in the same intelligence test administered to the same individuals (the Lothian Birth Cohort of 1921, N = 106) at ages 11 and 90 years. The correlation of Moray House Test scores between age 11 and age 90 was .54 (.67 when corrected for range restriction). This is a valuable foundation for estimating the extent to which cognitive-ability differences in very old age are accounted for by the lifelong stable trait and by the causes of cognitive change across the life course. Moray House Test scores showed strong concurrent and predictive validity with “gold standard” cognitive tests at ages 11 and 90.
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Affiliation(s)
- Ian J. Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology
| | - Alison Pattie
- Centre for Cognitive Ageing and Cognitive Epidemiology
| | - John M. Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology
- Alzheimer Scotland Dementia Research Centre, Department of Psychology, University of Edinburgh
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18
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Shalev I, Moffitt TE, Wong TY, Meier MH, Houts RM, Ding J, Cheung CY, Ikram MK, Caspi A, Poulton R. Retinal vessel caliber and lifelong neuropsychological functioning: retinal imaging as an investigative tool for cognitive epidemiology. Psychol Sci 2013; 24:1198-207. [PMID: 23678508 PMCID: PMC3713191 DOI: 10.1177/0956797612470959] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Why do more intelligent people live healthier and longer lives? One possibility is that intelligence tests assess health of the brain, but psychological science has lacked technology to evaluate this hypothesis. Digital retinal imaging, a new, noninvasive method to visualize microcirculation in the eye, may reflect vascular conditions in the brain. We studied the association between retinal vessel caliber and neuropsychological functioning in the representative Dunedin birth cohort. Wider venular caliber was associated with poorer neuropsychological functioning at midlife, independently of potentially confounding factors. This association was not limited to any specific test domain and extended to informants' reports of cohort members' cognitive difficulties in everyday life. Moreover, wider venular caliber was associated with lower childhood IQ tested 25 years earlier. The findings indicate that retinal venular caliber may be an indicator of neuropsychological health years before the onset of dementing diseases and suggest that digital retinal imaging may be a useful investigative tool for psychological science.
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Affiliation(s)
- Idan Shalev
- Department of Psychology and Neuroscience, Duke University, 2020 West Main St., Suite 201, Grey Building, Durham, NC 27708, USA.
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Tucker-Drob EM. How Many Pathways Underlie Socioeconomic Differences in the Development of Cognition and Achievement? LEARNING AND INDIVIDUAL DIFFERENCES 2013; 25:12-20. [PMID: 23710118 DOI: 10.1016/j.lindif.2013.01.015] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Children whose parents have higher education enjoy greater age-linked gains in cognitive abilities and academic achievement. Different researchers have typically focused on different outcomes, and the extent to which parental education relates to multiple child outcomes via a single developmental pathway has received little empirical attention. This issue was examined by applying common factor structural equation models to a large (N = 4,810) nationally representative sample of kindergarten through 12th grade children, who were measured on 6 distinct cognitive abilities and 5 distinct forms of knowledge and academic achievement. Results indicated that a single pathway accounted for the relations between parental education and age differences in children's cognitive abilities. However, additional unique pathways were necessary to account for the relations between parental education and age differences in academic knowledge and mathematics. These results suggest that while socioeconomic differences are largely manifest in global aspects of cognitive development, they have incremental relations with some forms of academic achievement.
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Affiliation(s)
- Elliot M Tucker-Drob
- Department of Psychology & Population Research Center, University of Texas at Austin
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20
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Abstract
Youth identified before age 13 (N = 320) as having profound mathematical or verbal reasoning abilities (top 1 in 10,000) were tracked for nearly three decades. Their awards and creative accomplishments by age 38, in combination with specific details about their occupational responsibilities, illuminate the magnitude of their contribution and professional stature. Many have been entrusted with obligations and resources for making critical decisions about individual and organizational well-being. Their leadership positions in business, health care, law, the professoriate, and STEM (science, technology, engineering, and mathematics) suggest that many are outstanding creators of modern culture, constituting a precious human-capital resource. Identifying truly profound human potential, and forecasting differential development within such populations, requires assessing multiple cognitive abilities and using atypical measurement procedures. This study illustrates how ultimate criteria may be aggregated and longitudinally sequenced to validate such measures.
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Affiliation(s)
- Harrison J Kell
- Department of Psychology and Human Development, Vanderbilt University, 0552 GPC, 230 Appleton Place, Nashville, TN 37203, USA.
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21
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Hauser RM, Palloni A. Adolescent IQ and survival in the Wisconsin longitudinal study. J Gerontol B Psychol Sci Soc Sci 2011; 66 Suppl 1:i91-101. [PMID: 21743056 DOI: 10.1093/geronb/gbr037] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVE This study attempts to explain the ubiquitous positive correlation between cognitive ability (IQ) and survival. METHODS A sample of 10,317 Wisconsin high school graduates of 1957 was followed until 2009, from ages 18 to 68 years. Mortality was analyzed using a Weibull survival model that includes gender, social background, Henmon-Nelson IQ, and rank in high school class. RESULTS Rank in high school class, a cumulative measure of responsible performance during high school, entirely mediates the relationship between adolescent IQ and survival. Its effect on survival is 3 times greater than that of IQ, and it accounts for about 10% of the female advantage in survival. DISCUSSION Cognitive functioning may improve survival by promoting responsible and timely patterns of behavior that are firmly in place by late adolescence. Prior research suggests that conscientiousness, one of the "Big Five" personality characteristics, plays a key role in this relationship.
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Affiliation(s)
- Robert M Hauser
- Division of Behavioral and Social Sciences and Education, National Research Council, Washington, DC, USA.
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22
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Piccinin AM, Muniz G, Sparks C, Bontempo DE. An evaluation of analytical approaches for understanding change in cognition in the context of aging and health. J Gerontol B Psychol Sci Soc Sci 2011; 66 Suppl 1:i36-49. [PMID: 21743051 DOI: 10.1093/geronb/gbr038] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
OBJECTIVES In this article, we discuss the importance of studying the relationship between health and cognitive function, and some of the methods with which this relationship has been studied. METHODS We consider the challenges involved, in particular operationalization of the health construct and causal inference in the context of observational data. We contrast the approaches taken, and review the questions addressed: whether health and cognition are associated, whether changes in health are associated with changes in cognition, and the degree of interdependency among their respective trajectories. RESULTS A variety of approaches for understanding the association between cognition and health in aging individuals have been used. Much of the literature on cognitive change and health has relied on methods that are based at least in part on the reorganization of between-person differences (e.g., cross-lag analysis) rather than relying more fully on analysis of within-person change and joint analysis of individual differences in within-person change in cognition and health. DISCUSSION We make the case for focusing on the interdependency between within-person changes in health and cognition and suggest methods that would support this.
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Abstract
Adult age differences in a variety of cognitive abilities are well documented, and many of those abilities have been found to be related to success in the workplace and in everyday life. However, increased age is seldom associated with lower levels of real-world functioning, and the reasons for this lab-life discrepancy are not well understood. This article briefly reviews research concerned with relations of age to cognition, relations of cognition to successful functioning outside the laboratory, and relations of age to measures of work performance and achievement. The final section discusses several possible explanations for why there are often little or no consequences of age-related cognitive declines in everyday functioning.
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Affiliation(s)
- Timothy Salthouse
- Department of Psychology, University of Virginia, Charlottesville, 22904-4400, USA.
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24
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Ganzach Y. A dynamic analysis of the effects of intelligence and socioeconomic background on job-market success. INTELLIGENCE 2011. [DOI: 10.1016/j.intell.2011.02.003] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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25
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A gradient of childhood self-control predicts health, wealth, and public safety. Proc Natl Acad Sci U S A 2011; 108:2693-8. [PMID: 21262822 DOI: 10.1073/pnas.1010076108] [Citation(s) in RCA: 1996] [Impact Index Per Article: 153.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Policy-makers are considering large-scale programs aimed at self-control to improve citizens' health and wealth and reduce crime. Experimental and economic studies suggest such programs could reap benefits. Yet, is self-control important for the health, wealth, and public safety of the population? Following a cohort of 1,000 children from birth to the age of 32 y, we show that childhood self-control predicts physical health, substance dependence, personal finances, and criminal offending outcomes, following a gradient of self-control. Effects of children's self-control could be disentangled from their intelligence and social class as well as from mistakes they made as adolescents. In another cohort of 500 sibling-pairs, the sibling with lower self-control had poorer outcomes, despite shared family background. Interventions addressing self-control might reduce a panoply of societal costs, save taxpayers money, and promote prosperity.
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26
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Sabbah W, Sheiham A. The relationships between cognitive ability and dental status in a national sample of USA adults. INTELLIGENCE 2010. [DOI: 10.1016/j.intell.2010.08.003] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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27
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Ho AJ, Raji CA, Becker JT, Lopez OL, Kuller LH, Hua X, Lee S, Hibar D, Dinov ID, Stein JL, Jack CR, Weiner MW, Toga AW, Thompson PM. Obesity is linked with lower brain volume in 700 AD and MCI patients. Neurobiol Aging 2010; 31:1326-39. [PMID: 20570405 PMCID: PMC3197833 DOI: 10.1016/j.neurobiolaging.2010.04.006] [Citation(s) in RCA: 156] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2010] [Revised: 04/01/2010] [Accepted: 04/05/2010] [Indexed: 11/22/2022]
Abstract
Obesity is associated with lower brain volumes in cognitively normal elderly subjects, but no study has yet investigated the effects of obesity on brain structure in patients with mild cognitive impairment (MCI) or Alzheimer's disease (AD). To determine if higher body mass index (BMI) is associated with brain volume deficits in cognitively impaired elderly subjects, we analyzed brain magnetic resonance imaging (MRI) scans of 700 MCI or AD patients from 2 different cohorts: the Alzheimer's Disease Neuroimaging Initiative (ADNI) and the Cardiovascular Health Study-Cognition Study (CHS-CS). Tensor-based morphometry (TBM) was used to create 3-dimensional maps of regional tissue excess or deficits in subjects with MCI (ADNI, n = 399; CHS-CS, n = 77) and AD (ADNI, n = 188; CHS, n = 36). In both AD and MCI groups, higher body mass index was associated with brain volume deficits in frontal, temporal, parietal, and occipital lobes; the atrophic pattern was consistent in both ADNI and CHS populations. Cardiovascular risk factors, especially obesity, should be considered as influencing brain structure in those already afflicted by cognitive impairment and dementia.
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Affiliation(s)
- April J Ho
- Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, CA, United States
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