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Gerstorf D, Ram N, Drewelies J, Duezel S, Eibich P, Steinhagen-Thiessen E, Liebig S, Goebel J, Demuth I, Villringer A, Wagner GG, Lindenberger U, Ghisletta P. Today's Older Adults Are Cognitively Fitter Than Older Adults Were 20 Years Ago, but When and How They Decline Is No Different Than in the Past. Psychol Sci 2023; 34:22-34. [PMID: 36282991 DOI: 10.1177/09567976221118541] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [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: 01/20/2023] Open
Abstract
History-graded increases in older adults' levels of cognitive performance are well documented, but little is known about historical shifts in within-person change: cognitive decline and onset of decline. We combined harmonized perceptual-motor speed data from independent samples recruited in 1990 and 2010 to obtain 2,008 age-matched longitudinal observations (M = 78 years, 50% women) from 228 participants in the Berlin Aging Study (BASE) and 583 participants in the Berlin Aging Study II (BASE-II). We used nonlinear growth models that orthogonalized within- and between-person age effects and controlled for retest effects. At age 78, the later-born BASE-II cohort substantially outperformed the earlier-born BASE cohort (d = 1.20; 25 years of age difference). Age trajectories, however, were parallel, and there was no evidence of cohort differences in the amount or rate of decline and the onset of decline. Cognitive functioning has shifted to higher levels, but cognitive decline in old age appears to proceed similarly as it did two decades ago.
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Affiliation(s)
- Denis Gerstorf
- Department of Psychology, Humboldt University Berlin.,German Socio-Economic Panel Study (SOEP), German Institute for Economic Research (DIW), Berlin, Germany
| | - Nilam Ram
- Departments of Psychology and Communication, Stanford University
| | - Johanna Drewelies
- Department of Psychology, Humboldt University Berlin.,Lise Meitner Group for Environmental Neuroscience, Max Planck Institute for Human Development, Berlin, Germany
| | - Sandra Duezel
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | - Peter Eibich
- Labor Demography Research Group, Max Planck Institute for Demographic Research, Rostock, Germany
| | | | - Stefan Liebig
- German Socio-Economic Panel Study (SOEP), German Institute for Economic Research (DIW), Berlin, Germany
| | - Jan Goebel
- German Socio-Economic Panel Study (SOEP), German Institute for Economic Research (DIW), Berlin, Germany
| | - Ilja Demuth
- Department of Endocrinology and Metabolic Medicine at the Charite-Universitätsmedizin Berlin.,Charité-Universitätsmedizin Berlin, BCRT-Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany
| | - Arno Villringer
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Gert G Wagner
- German Socio-Economic Panel Study (SOEP), German Institute for Economic Research (DIW), Berlin, Germany.,Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.,Federal Institute for Population Research, Wiesbaden, Germany
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany.,Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany
| | - Paolo Ghisletta
- Faculty of Psychology and Educational Sciences, University of Geneva.,UniDistance Suisse.,Swiss National Centre of Competence in Research LIVES, University of Geneva
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Palumbo L, Berrington A, Eibich P, Vitali A. Uncertain steps into adulthood: Does economic precariousness hinder entry into the first co-residential partnership in the UK? Population Studies 2022:1-27. [DOI: 10.1080/00324728.2022.2102672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
Affiliation(s)
- Lydia Palumbo
- Max Planck Institute of Demographic Research
- University of Southampton
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Eibich P, Kanabar R, Plum A, Schmied J. In and out of unemployment-Labour market transitions and the role of testosterone. Econ Hum Biol 2022; 46:101123. [PMID: 35338911 DOI: 10.1016/j.ehb.2022.101123] [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] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 02/28/2022] [Accepted: 03/11/2022] [Indexed: 06/14/2023]
Abstract
Biological processes have provided new insights into diverging labour market trajectories. This paper uses population variation in testosterone levels to explain transition probabilities into and out of unemployment. We examine labour market transitions for 2004 initially employed and 111 initially unemployed British men from the UK Household Longitudinal Study ("Understanding Society") between 2011 and 2013. We address the endogeneity of testosterone levels by using genetic variation as instrumental variables (Mendelian Randomization). We find that for both initially unemployed men as well as initially employed men, higher testosterone levels reduce the risk of unemployment. Based on previous studies and descriptive evidence, we argue that these effects are likely driven by differences in cognitive and non-cognitive skills as well as job search behaviour of men with higher testosterone levels. Our findings suggest that latent biological processes can affect job search behaviour and labour market outcomes without necessarily relating to illness and disability.
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Affiliation(s)
- Peter Eibich
- Max Planck Institute for Demographic Research, Konrad-Zuse-Str. 1, 18057 Rostock, Germany.
| | - Ricky Kanabar
- Department of Social and Policy Sciences, University of Bath, United Kingdom
| | - Alexander Plum
- New Zealand Work Research Institute, Auckland University of Technology, New Zealand
| | - Julian Schmied
- Free University of Berlin, Germany, and Max Planck Institute for Demographic Research, Germany
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4
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Brown H, Eibich P, Biosca O. Editorial: Intergenerational Health Inequalities. Front Public Health 2022; 10:888995. [PMID: 35493376 PMCID: PMC9043513 DOI: 10.3389/fpubh.2022.888995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 03/21/2022] [Indexed: 11/13/2022] Open
Affiliation(s)
- Heather Brown
- National Institute for Health and Welfare, Helsinki, Finland
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
- *Correspondence: Heather Brown
| | - Peter Eibich
- Labor Demography, Max Planck Institute for Demographic Research, Rostock, Germany
| | - Olga Biosca
- Glasgow Caledonian University, Glasgow, United Kingdom
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Eibich P, Goldzahl L. Does retirement affect secondary preventive care use? Evidence from breast cancer screening. Econ Hum Biol 2021; 43:101061. [PMID: 34555616 PMCID: PMC8683749 DOI: 10.1016/j.ehb.2021.101061] [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] [Figures] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 08/31/2021] [Accepted: 08/31/2021] [Indexed: 06/13/2023]
Abstract
This paper examines the causal impact of retirement on preventive care use by focusing on breast cancer screening. It contributes to a better understanding of the puzzling results in the literature reporting mixed effects on health care consumption at retirement. We use five waves of data from the Eurobarometer surveys conducted between 1996 and 2006, covering 25 different European countries. We address the endogeneity of retirement by using age thresholds for pension eligibility as instrumental variables in a bivariate probit model. We find that retirement reduces mammography use and other secondary preventive care use. Our results suggest that health status, income, and knowledge on cancer prevention and treatment contribute little to our understanding of the effects of retirement. Instead, our evidence suggests important effect heterogeneity based on the generosity of the social health insurance system and organized screening programs.
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Affiliation(s)
- Peter Eibich
- Max Planck Institute for Demographic Research, Konrad-Zuse-Str. 1, 18057 Rostock, Germany; Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, UK.
| | - Léontine Goldzahl
- EDHEC Business School, 24 Avenue Gustave Delory, CS 50411, 59057 Roubaix Cedex 1, France.
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Wahl HW, Drewelies J, Duezel S, Lachman ME, Smith J, Eibich P, Steinhagen-Thiessen E, Demuth I, Lindenberger U, Wagner GG, Ram N, Gerstorf D. Subjective age and attitudes toward own aging across two decades of historical time. Psychol Aging 2021; 37:413-429. [PMID: 34694838 PMCID: PMC9487183 DOI: 10.1037/pag0000649] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
A large body of empirical evidence has accumulated showing that the experience of old age is "younger," more "agentic," and "happier" than ever before. However, it is not yet known whether historical improvements in well-being, control beliefs, cognitive functioning, and other outcomes generalize to individuals' views on their own aging process. To examine historical changes in such views on aging, we compared matched cohorts of older adults within two independent studies that assessed differences across a two-decade interval, the Berlin Aging Studies (BASE; 1990/1993 vs. 2017/2018, each n = 256, Mage = 77) and the Midlife in the United States Study (MIDUS; 1995/1996 vs. 2013/14, each n = 848, Mage = 67). Consistent across four different dimensions of individuals' subjective views on aging (age felt, age appeared, desired age, and attitudes toward own aging) in the BASE and corroborated with subjective age felt and subjective age desired in the MIDUS, there was no evidence whatsoever that older adults of today have more favorable views on how they age than older adults did two decades ago. Further, heterogeneity in views on aging increased across two decades in the MIDUS but decreased in BASE. Also consistent across studies, associations of views on aging with sociodemographic, health, cognitive, and psychosocial correlates did not change across historical times. We discuss possible reasons for our findings, including the possibility that individual age views may have become increasingly decoupled from societal age views. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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Drewelies J, Eibich P, Düzel S, Kühn S, Krekel C, Goebel J, Kolbe J, Demuth I, Lindenberger U, Wagner GG, Gerstorf D. Location, Location, Location: The Role of Objective Neighborhood Characteristics for Perceptions of Control. Gerontology 2021; 68:214-223. [PMID: 34000719 DOI: 10.1159/000515634] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [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: 10/15/2020] [Accepted: 03/04/2021] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Control beliefs can protect against age-related declines in functioning. It is unclear whether neighborhood characteristics shape how much control people perceive over their life. This article studies associations of neighborhood characteristics with control beliefs of residents of a diverse metropolitan area (Berlin, Germany). METHODS We combine self-report data about perceptions of control obtained from participants in the Berlin Aging Study II (N = 507, 60-87 years, 51% women) with multisource geo-referenced indicators of neighborhood characteristics using linear regression models. RESULTS Findings indicate that objective neighborhood characteristics (i.e., unemployment rate) are indeed tied to perceptions of control, in particular, how much control participants feel others have over their lives. Including neighborhood characteristics in part doubled the amount of explained variance compared with a reference model covarying for demographic characteristics only (from R2 = 0.017 to R2 = 0.030 for internal control beliefs; R2 = 0.056 to R2 = 0.102 for external control beliefs in chance; R2 = 0.006 to R2 = 0.030 for external control beliefs in powerful others). DISCUSSION/CONCLUSION Findings highlight the importance of access to neighborhood resources for control beliefs across old age and can inform interventions to build up neighborhood characteristics which might be especially helpful in residential areas with high unemployment.
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Affiliation(s)
- Johanna Drewelies
- Department for Psychology, Humboldt University Berlin, Berlin, Germany
| | - Peter Eibich
- Max Planck Institute for Demographic Research, Rostock, Germany
| | - Sandra Düzel
- Max Planck Institute for Human Development, Berlin, Germany
| | - Simone Kühn
- Max Planck Institute for Human Development, Berlin, Germany
| | - Christian Krekel
- Department of Psychological and Behavioural Science, London School of Economics, London, UK
| | - Jan Goebel
- German Institute for Economic Research, Berlin, Germany
| | - Jens Kolbe
- Institute of Economics and Law, Technical University, Berlin, Germany
| | - Ilja Demuth
- Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Ulman Lindenberger
- Max Planck Institute for Human Development, Berlin, Germany
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany, and, London, UK
| | - Gert G Wagner
- Max Planck Institute for Human Development, Berlin, Germany
- German Institute for Economic Research, Berlin, Germany
| | - Denis Gerstorf
- Department for Psychology, Humboldt University Berlin, Berlin, Germany
- German Institute for Economic Research, Berlin, Germany
- Department of Human Development and Family Studies, Pennsylvania State University, University Park, University Park, Pennsylvania, USA
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Eibich P, Goldzahl L. Health information provision, health knowledge and health behaviours: Evidence from breast cancer screening. Soc Sci Med 2020; 265:113505. [PMID: 33218891 PMCID: PMC7768188 DOI: 10.1016/j.socscimed.2020.113505] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [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] [Revised: 11/02/2020] [Accepted: 11/04/2020] [Indexed: 11/28/2022]
Abstract
Many public health interventions aim to provide individuals with health information on the consequences of behaviours such as smoking, alcohol consumption or preventive care use, with the intention of changing health behaviour through better health knowledge. This paper examines whether the provision of health information in organised breast cancer screening programs affects mammography utilisation via changes in health knowledge. We use unique data on 10,610 European women from the Eurobarometer survey collected in 1997/1998, and we exploit variation in the availability and coverage of organised breast cancer screening programs for causal identification in a difference-in-differences design. We find that health information provision improves health knowledge. Yet, these changes in health knowledge had little to no effects on mammography utilisation in the overall population. Our findings imply that health information provision contributes little to health behaviour change. Although screening programs are effective at increasing preventive care use, their effect can be attributed almost entirely to factors other than health knowledge. We estimate a difference-in-differences model and conduct a mediation analysis. We exploit variation in screening program existence and eligibility ages in Europe. Screening program eligibility improves health knowledge about breast cancer. Changes in health knowledge contribute little to screening program uptake. Health information provision has a stronger impact on less educated women.
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Affiliation(s)
- Peter Eibich
- Max Planck Institute for Demographic Research, Konrad-Zuse-Str. 1, 18057, Rostock, Germany; Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, UK.
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Price A, Smith J, Dakin H, Kang S, Eibich P, Cook J, Gray A, Harris K, Middleton R, Gibbons E, Benedetto E, Smith S, Dawson J, Fitzpatrick R, Sayers A, Miller L, Marques E, Gooberman-Hill R, Blom A, Judge A, Arden N, Murray D, Glyn-Jones S, Barker K, Carr A, Beard D. The Arthroplasty Candidacy Help Engine tool to select candidates for hip and knee replacement surgery: development and economic modelling. Health Technol Assess 2020; 23:1-216. [PMID: 31287051 DOI: 10.3310/hta23320] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [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: 12/16/2022] Open
Abstract
BACKGROUND There is no good evidence to support the use of patient-reported outcome measures (PROMs) in setting preoperative thresholds for referral for hip and knee replacement surgery. Despite this, the practice is widespread in the NHS. OBJECTIVES/RESEARCH QUESTIONS Can clinical outcome tools be used to set thresholds for hip or knee replacement? What is the relationship between the choice of threshold and the cost-effectiveness of surgery? METHODS A systematic review identified PROMs used to assess patients undergoing hip/knee replacement. Their measurement properties were compared and supplemented by analysis of existing data sets. For each candidate score, we calculated the absolute threshold (a preoperative level above which there is no potential for improvement) and relative thresholds (preoperative levels above which individuals are less likely to improve than others). Owing to their measurement properties and the availability of data from their current widespread use in the NHS, the Oxford Knee Score (OKS) and Oxford Hip Score (OHS) were selected as the most appropriate scores to use in developing the Arthroplasty Candidacy Help Engine (ACHE) tool. The change in score and the probability of an improvement were then calculated and modelled using preoperative and postoperative OKS/OHSs and PROM scores, thereby creating the ACHE tool. Markov models were used to assess the cost-effectiveness of total hip/knee arthroplasty in the NHS for different preoperative values of OKS/OHSs over a 10-year period. The threshold values were used to model how the ACHE tool may change the number of referrals in a single UK musculoskeletal hub. A user group was established that included patients, members of the public and health-care representatives, to provide stakeholder feedback throughout the research process. RESULTS From a shortlist of four scores, the OHS and OKS were selected for the ACHE tool based on their measurement properties, calculated preoperative thresholds and cost-effectiveness data. The absolute threshold was 40 for the OHS and 41 for the OKS using the preferred improvement criterion. A range of relative thresholds were calculated based on the relationship between a patient's preoperative score and their probability of improving after surgery. For example, a preoperative OHS of 35 or an OKS of 30 translates to a 75% probability of achieving a good outcome from surgical intervention. The economic evaluation demonstrated that hip and knee arthroplasty cost of < £20,000 per quality-adjusted life-year for patients with any preoperative score below the absolute thresholds (40 for the OHS and 41 for the OKS). Arthroplasty was most cost-effective for patients with lower preoperative scores. LIMITATIONS The ACHE tool supports but does not replace the shared decision-making process required before an individual decides whether or not to undergo surgery. CONCLUSION The OHS and OKS can be used in the ACHE tool to assess an individual patient's suitability for hip/knee replacement surgery. The system enables evidence-based and informed threshold setting in accordance with local resources and policies. At a population level, both hip and knee arthroplasty are highly cost-effective right up to the absolute threshold for intervention. Our stakeholder user group felt that the ACHE tool was a useful evidence-based clinical tool to aid referrals and that it should be trialled in NHS clinical practice to establish its feasibility. FUTURE WORK Future work could include (1) a real-world study of the ACHE tool to determine its acceptability to patients and general practitioners and (2) a study of the role of the ACHE tool in supporting referral decisions. FUNDING The National Institute for Health Research Health Technology Assessment programme.
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Affiliation(s)
- Andrew Price
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - James Smith
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Helen Dakin
- Health Economics Research Centre, University of Oxford, Oxford, UK
| | - Sujin Kang
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Peter Eibich
- Health Economics Research Centre, University of Oxford, Oxford, UK
| | - Jonathan Cook
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Alastair Gray
- Health Economics Research Centre, University of Oxford, Oxford, UK
| | - Kristina Harris
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Robert Middleton
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Elizabeth Gibbons
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Elena Benedetto
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Stephanie Smith
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Jill Dawson
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | | | - Adrian Sayers
- Musculoskeletal Research Unit, University of Bristol, Bristol, UK
| | - Laura Miller
- Musculoskeletal Research Unit, University of Bristol, Bristol, UK
| | - Elsa Marques
- Musculoskeletal Research Unit, University of Bristol, Bristol, UK
| | | | - Ashley Blom
- Musculoskeletal Research Unit, University of Bristol, Bristol, UK
| | - Andrew Judge
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Nigel Arden
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - David Murray
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Sion Glyn-Jones
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Karen Barker
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Andrew Carr
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - David Beard
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
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Pedron S, Maier W, Peters A, Linkohr B, Meisinger C, Rathmann W, Eibich P, Schwettmann L. The effect of retirement on biomedical and behavioral risk factors for cardiovascular and metabolic disease. Econ Hum Biol 2020; 38:100893. [PMID: 32653545 DOI: 10.1016/j.ehb.2020.100893] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Revised: 01/15/2020] [Accepted: 05/13/2020] [Indexed: 06/11/2023]
Abstract
Retirement is a major life event potentially associated with changes in relevant risk factors for cardiovascular and metabolic conditions. This study analyzes the effect of retirement on behavioral and biomedical risk factors for chronic disease, together with subjective health parameters using Southern German epidemiological data. We used panel data from the KORA cohort study, consisting of 11,168 observations for individuals 45-80 years old. Outcomes included health behavior (alcohol, smoking, physical activity), biomedical risk factors (body-mass-index (BMI), waist-to-hip ratio (WHR), glycosylated hemoglobin (HbA1c), total cholesterol/HDL quotient, systolic/diastolic blood pressure), and subjective health (SF12 mental and physical scales, self-rated health). We applied a parametric regression discontinuity design based on age thresholds for pension eligibility. Robust results after p-value corrections for multiple testing showed an increase in BMI in early retirees (at the age of 60) [β = 1.11, corrected p-val. < 0.05] and an increase in CHO/HDL in regular retirees (age 65) [β = 0.47, corrected p-val. < 0.05]. Stratified analyses indicate that the increase in BMI might be driven by women and low educated individuals retiring early, despite increasing physical activity. The increase in CHO/HDL might be driven by men retiring regularly, alongside an increase in subjective physical health. Blood pressure also increased, but the effect differs by retirement timing and sex and is not always robust to sensitivity analysis checks. Our study indicates that retirement has an impact on different risk factors for chronic disease, depending on timing, sex and education. Regular male, early female, and low educated retirees should be further investigated as potential high-risk groups for worsening risk factors after retirement. Future research should investigate if and how these results are linked: in fact, especially in the last two groups, the increase in leisure time physical activity might not be enough to compensate for the loss of work-related physical activity, leading thus to an increase in BMI.
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Affiliation(s)
- Sara Pedron
- Institute of Health Economics and Health Care Management, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany; German Center for Diabetes Research (DZD), Ingolstädter Landstr. 1, 85764 München-Neuherberg, Germany.
| | - Werner Maier
- Institute of Health Economics and Health Care Management, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
| | - Annette Peters
- German Center for Diabetes Research (DZD), Ingolstädter Landstr. 1, 85764 München-Neuherberg, Germany; Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
| | - Birgit Linkohr
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
| | - Christine Meisinger
- Ludwig-Maximilians-Universität München, Chair of Epidemiology at UNIKA-T Augsburg, Neusässer Str. 47, 86156 Augsburg, Germany; Independent Research Group Clinical Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany
| | - Wolfgang Rathmann
- German Center for Diabetes Research (DZD), Ingolstädter Landstr. 1, 85764 München-Neuherberg, Germany; Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine-University, Auf`m Hennekamp 65, 40225 Düsseldorf, Germany
| | - Peter Eibich
- Max Planck Institute for Demographic Research, Konrad-Zuse-Str. 1, 18057 Rostock, Germany
| | - Lars Schwettmann
- Institute of Health Economics and Health Care Management, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany; Department of Economics, Martin Luther University Halle-Wittenberg, 06099 Halle (Saale), Germany
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Abstract
AIMS To assess how the cost-effectiveness of total hip arthroplasty (THA) and total knee arthroplasty (TKA) varies with age, sex, and preoperative Oxford Hip or Knee Score (OHS/OKS); and to identify the patient groups for whom THA/TKA is cost-effective. METHODS We conducted a cost-effectiveness analysis using a Markov model from a United Kingdom NHS perspective, informed by published analyses of patient-level data. We assessed the cost-effectiveness of THA and TKA in adults with hip or knee osteoarthritis compared with having no arthroplasty surgery during the ten-year time horizon. RESULTS THA and TKA cost < £7,000 per quality-adjusted life-year (QALY) gained at all preoperative scores below the absolute referral thresholds calculated previously (40 for OHS and 41 for OKS). Furthermore, THA cost < £20,000/QALY for patients with OHS of ≤ 45, while TKA was cost-effective for patients with OKS of ≤ 43, since the small improvements in quality of life outweighed the cost of surgery and any subsequent revisions. Probabilistic and one-way sensitivity analyses demonstrated that there is little uncertainty around the conclusions. CONCLUSION If society is willing to pay £20,000 per QALY gained, THA and TKA are cost-effective for nearly all patients who currently undergo surgery, including all patients at and above our calculated absolute referral thresholds. Cite this article: Bone Joint J 2020;102-B(7):950-958.
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Affiliation(s)
- H Dakin
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - P Eibich
- Nuffield Department of Population Health, University of Oxford, Oxford, UK.,Max Planck Institute for Demographic Research, Rostock, Germany
| | - D Beard
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Science, NIHR Biomedical Research Unit, University of Oxford, Oxford, UK
| | - A Gray
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - A Price
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Science, NIHR Biomedical Research Unit, University of Oxford, Oxford, UK
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12
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Dakin HA, Eibich P, Gray A, Smith J, Barker KL, Beard D, Price AJ. Who gets referred for knee or hip replacement? A theoretical model of the potential impact of evidence-based referral thresholds using data from a retrospective review of clinic records from an English musculoskeletal referral hub. BMJ Open 2020; 10:e028915. [PMID: 32620710 PMCID: PMC7335627 DOI: 10.1136/bmjopen-2019-028915] [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] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
OBJECTIVES To estimate the relationship between patient characteristics and referral decisions made by musculoskeletal hubs, and to assess the possible impact of an evidence-based referral tool. DESIGN Retrospective analysis of medical records and decision tree model evaluating policy changes using local and national data. SETTING One musculoskeletal interface clinic (hub) in England. PARTICIPANTS 922 adults aged ≥50 years referred by general practitioners with symptoms of knee or hip osteoarthritis. INTERVENTIONS We assessed the current frequency and determinants of referrals from one hub and the change in referrals that would occur at this centre and nationally if evidence-based thresholds for referral (Oxford Knee and Hip Scores, OKS/OHS) were introduced. MAIN OUTCOME MEASURE OKS/OHS, referrals for surgical assessment, referrals for arthroplasty, costs and quality-adjusted life years. RESULTS Of 110 patients with knee symptoms attending face-to-face hub consultations, 49 (45%) were referred for surgical assessment; the mean OKS for these 49 patients was 18 (range: 1-41). Of 101 hip patients, 36 (36%) were referred for surgical assessment (mean OHS: 21, range: 5-44). No patients referred for surgical assessment were above previously reported economic thresholds for OKS (43) or OHS (45). Setting thresholds of OKS ≤31 and OHS ≤35 might have resulted in an additional 22 knee referrals and 26 hip referrals in our cohort. Extrapolating hub results across England suggests a possible increase in referrals nationally, of around 13 000 additional knee replacements and 4500 additional hip replacements each year. CONCLUSIONS Musculoskeletal hubs currently consider OKS/OHS and other factors when making decisions about referral to secondary care for joint replacement. Those referred typically have low OHS/OKS, and introducing evidence-based OKS/OHS thresholds would prevent few inappropriate (high-functioning, low-pain) referrals. However, our findings suggest that some patients not currently referred could benefit from arthroplasty based on OKS/OHS. More research is required to explore other important patient characteristics currently influencing hub decisions.
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Affiliation(s)
- Helen A Dakin
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, Oxfordshire, UK
| | - Peter Eibich
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, Oxfordshire, UK
- Max Planck Institute for Demographic Research, Rostock, Germany
| | - Alastair Gray
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, Oxfordshire, UK
| | - James Smith
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, Oxfordshire, UK
- Centre for Healthcare Resilience and Implementation Science, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia
| | - Karen L Barker
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, Oxfordshire, UK
| | - David Beard
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, Oxfordshire, UK
| | - Andrew J Price
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, Oxfordshire, UK
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Gerstorf D, Drewelies J, Duezel S, Smith J, Wahl HW, Schilling OK, Kunzmann U, Siebert JS, Katzorreck M, Eibich P, Demuth I, Steinhagen-Thiessen E, Wagner GG, Lindenberger U, Heckhausen J, Ram N. Cohort differences in adult-life trajectories of internal and external control beliefs: A tale of more and better maintained internal control and fewer external constraints. Psychol Aging 2020; 34:1090-1108. [PMID: 31804114 DOI: 10.1037/pag0000389] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Life Span theory posits that sociohistorical contexts shape individual development. In line with this proposition, cohort differences favoring later-born cohorts have been widely documented for cognition and health. However, little is known about historical change in how key resources of psychosocial functioning such as control beliefs develop in old age. We pooled data from 3 independent samples: Berlin Aging Study (6 waves, N = 414); Interdisciplinary Longitudinal Study of Adult Development (4 waves, N = 925); and Berlin Aging Study II (4 waves, N = 1,111) to construct overlapping multiyear longitudinal data from ages 61 through 85 years for cohorts born 1905 to 1953 and examine historical changes in within-person trajectories of internal and external control beliefs. Results revealed that earlier-born cohorts exhibit age-related declines in internal control beliefs regarding both desirable and undesirable outcomes, whereas later-born cohorts perceive higher internal control and maintain this advantage into old age. Earlier-born cohorts also experience steep age-related increases in external control beliefs regarding both powerful others and chance, whereas later-born cohorts perceive lower external control and were stable across old age. Education and gender disparities in control beliefs narrowed over historical time. Sociodemographic, physical health, cognitive, and social factors explained some of the differences in control beliefs, and accounted for sizable portions of cohort effects. Our results indicate that current generations of older adults perceive more and better maintained internal control and fewer external constraints. We discuss potential underlying mechanisms and consider conceptual and societal implications of our findings. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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Affiliation(s)
| | | | - Sandra Duezel
- Center for Lifespan Psychology, Max Planck Institute for Human Development
| | - Jacqui Smith
- Institute for Social Research, University of Michigan
| | | | | | | | | | | | - Peter Eibich
- Research Group Labor Demography, Max Planck Institute for Demographic Research
| | - Ilja Demuth
- Research Group Biology of Aging, Charite - Universitatsmedizin Berlin
| | | | | | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development
| | - Jutta Heckhausen
- Department of Psychology and Social Behavior, University of California
| | - Nilam Ram
- Department of Human Development and Family Studies, Pennsylvania State University
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Kolodziejczak K, Rosada A, Drewelies J, Düzel S, Eibich P, Tegeler C, Wagner GG, Beier KM, Ram N, Demuth I, Steinhagen-Thiessen E, Gerstorf D. Sexual activity, sexual thoughts, and intimacy among older adults: Links with physical health and psychosocial resources for successful aging. Psychol Aging 2019; 34:389-404. [DOI: 10.1037/pag0000347] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Roope LSJ, Smith RD, Pouwels KB, Buchanan J, Abel L, Eibich P, Butler CC, Tan PS, Walker AS, Robotham JV, Wordsworth S. The challenge of antimicrobial resistance: What economics can contribute. Science 2019; 364:364/6435/eaau4679. [DOI: 10.1126/science.aau4679] [Citation(s) in RCA: 197] [Impact Index Per Article: 39.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
As antibiotic consumption grows, bacteria are becoming increasingly resistant to treatment. Antibiotic resistance undermines much of modern health care, which relies on access to effective antibiotics to prevent and treat infections associated with routine medical procedures. The resulting challenges have much in common with those posed by climate change, which economists have responded to with research that has informed and shaped public policy. Drawing on economic concepts such as externalities and the principal–agent relationship, we suggest how economics can help to solve the challenges arising from increasing resistance to antibiotics. We discuss solutions to the key economic issues, from incentivizing the development of effective new antibiotics to improving antibiotic stewardship through financial mechanisms and regulation.
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16
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Karlsson Linnér R, Biroli P, Kong E, Meddens SFW, Wedow R, Fontana MA, Lebreton M, Tino SP, Abdellaoui A, Hammerschlag AR, Nivard MG, Okbay A, Rietveld CA, Timshel PN, Trzaskowski M, Vlaming RD, Zünd CL, Bao Y, Buzdugan L, Caplin AH, Chen CY, Eibich P, Fontanillas P, Gonzalez JR, Joshi PK, Karhunen V, Kleinman A, Levin RZ, Lill CM, Meddens GA, Muntané G, Sanchez-Roige S, Rooij FJV, Taskesen E, Wu Y, Zhang F, Auton A, Boardman JD, Clark DW, Conlin A, Dolan CC, Fischbacher U, Groenen PJF, Harris KM, Hasler G, Hofman A, Ikram MA, Jain S, Karlsson R, Kessler RC, Kooyman M, MacKillop J, Männikkö M, Morcillo-Suarez C, McQueen MB, Schmidt KM, Smart MC, Sutter M, Thurik AR, Uitterlinden AG, White J, Wit HD, Yang J, Bertram L, Boomsma DI, Esko T, Fehr E, Hinds DA, Johannesson M, Kumari M, Laibson D, Magnusson PKE, Meyer MN, Navarro A, Palmer AA, Pers TH, Posthuma D, Schunk D, Stein MB, Svento R, Tiemeier H, Timmers PRHJ, Turley P, Ursano RJ, Wagner GG, Wilson JF, Gratten J, Lee JJ, Cesarini D, Benjamin DJ, Koellinger PD, Beauchamp JP. Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences. Nat Genet 2019; 51:245-257. [PMID: 30643258 PMCID: PMC6713272 DOI: 10.1038/s41588-018-0309-3] [Citation(s) in RCA: 337] [Impact Index Per Article: 67.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2018] [Accepted: 11/07/2018] [Indexed: 02/02/2023]
Abstract
Humans vary substantially in their willingness to take risks. In a combined sample of over 1 million individuals, we conducted genome-wide association studies (GWAS) of general risk tolerance, adventurousness, and risky behaviors in the driving, drinking, smoking, and sexual domains. Across all GWAS, we identified hundreds of associated loci, including 99 loci associated with general risk tolerance. We report evidence of substantial shared genetic influences across risk tolerance and the risky behaviors: 46 of the 99 general risk tolerance loci contain a lead SNP for at least one of our other GWAS, and general risk tolerance is genetically correlated ([Formula: see text] ~ 0.25 to 0.50) with a range of risky behaviors. Bioinformatics analyses imply that genes near SNPs associated with general risk tolerance are highly expressed in brain tissues and point to a role for glutamatergic and GABAergic neurotransmission. We found no evidence of enrichment for genes previously hypothesized to relate to risk tolerance.
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Affiliation(s)
- Richard Karlsson Linnér
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University Amsterdam, Amsterdam, the Netherlands.
- Erasmus University Rotterdam Institute for Behavior and Biology, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, the Netherlands.
- Department of Economics, VU University Amsterdam, Amsterdam, the Netherlands.
| | - Pietro Biroli
- Department of Economics, University of Zurich, Zurich, Switzerland
| | - Edward Kong
- Department of Economics, Harvard University, Cambridge, MA, USA
| | - S Fleur W Meddens
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University Amsterdam, Amsterdam, the Netherlands
- Erasmus University Rotterdam Institute for Behavior and Biology, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, the Netherlands
- Department of Economics, VU University Amsterdam, Amsterdam, the Netherlands
| | - Robbee Wedow
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Analytic Translational Genetics Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Sociology, Harvard University, Cambridge, MA, USA
| | - Mark Alan Fontana
- Center for the Advancement of Value in Musculoskeletal Care, Hospital for Special Surgery, New York, NY, USA
- Department of Healthcare Policy and Research, Weill Cornell Medical College, Cornell University, New York, NY, USA
| | - Maël Lebreton
- Amsterdam School of Economics, University of Amsterdam, Amsterdam, the Netherlands
- Amsterdam Brain and Cognition, University of Amsterdam, Amsterdam, the Netherlands
| | - Stephen P Tino
- Department of Economics, University of Toronto, Toronto, Ontario, Canada
| | - Abdel Abdellaoui
- Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Anke R Hammerschlag
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University Amsterdam, Amsterdam, the Netherlands
| | - Michel G Nivard
- Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Aysu Okbay
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University Amsterdam, Amsterdam, the Netherlands
- Department of Economics, VU University Amsterdam, Amsterdam, the Netherlands
| | - Cornelius A Rietveld
- Erasmus University Rotterdam Institute for Behavior and Biology, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, the Netherlands
- Department of Applied Economics, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Pascal N Timshel
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - Maciej Trzaskowski
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia
| | - Ronald de Vlaming
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University Amsterdam, Amsterdam, the Netherlands
- Erasmus University Rotterdam Institute for Behavior and Biology, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, the Netherlands
- Department of Economics, VU University Amsterdam, Amsterdam, the Netherlands
| | - Christian L Zünd
- Department of Economics, University of Zurich, Zurich, Switzerland
| | - Yanchun Bao
- Institute for Social and Economic Research, University of Essex, Colchester, UK
| | - Laura Buzdugan
- Seminar for Statistics, Department of Mathematics, ETH Zurich, Zurich, Switzerland
- Department of Economics, University of Zurich, Zurich, Switzerland
| | | | - Chia-Yen Chen
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic Translational Genetics Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Psychiatric & Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Peter Eibich
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Socio-Economic Panel Study, DIW Berlin, Berlin, Germany
- Max Planck Institute for Demographic Research, Rostock, Germany
| | | | - Juan R Gonzalez
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Peter K Joshi
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland
| | - Ville Karhunen
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
| | | | - Remy Z Levin
- Department of Economics, University of California San Diego, La Jolla, CA, USA
| | - Christina M Lill
- Genetic and Molecular Epidemiology Group, Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics & Cardiogenetics, University of Lübeck, Lübeck, Germany
| | | | - Gerard Muntané
- Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain
- Research Department, Hospital Universitari Institut Pere Mata, Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, Spain
- Centro de Investigación Biomédica en Red en Salud Mental (CIBERSAM), Reus, Spain
| | | | - Frank J van Rooij
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Erdogan Taskesen
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University Amsterdam, Amsterdam, the Netherlands
| | - Yang Wu
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia
| | - Futao Zhang
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia
| | - Adam Auton
- Research, 23andMe, Inc., Mountain View, CA, USA
| | - Jason D Boardman
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
- Institute of Behavioral Science, University of Colorado Boulder, Boulder, CO, USA
- Department of Sociology, University of Colorado Boulder, Boulder, CO, USA
| | - David W Clark
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland
| | - Andrew Conlin
- Department of Economics and Finance, Oulu Business School, University of Oulu, Oulu, Finland
| | - Conor C Dolan
- Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Urs Fischbacher
- Department of Economics, University of Konstanz, Konstanz, Germany
- Thurgau Institute of Economics, Kreuzlingen, Switzerland
| | - Patrick J F Groenen
- Erasmus University Rotterdam Institute for Behavior and Biology, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, the Netherlands
- Department of Econometrics, Erasmus University Rotterdam, Rotterdam, Rotterdam, the Netherlands
| | - Kathleen Mullan Harris
- Department of Sociology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Gregor Hasler
- Unit of Psychiatry Research, University of Fribourg, Fribourg, Switzerland
| | - Albert Hofman
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Mohammad A Ikram
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Sonia Jain
- Family Medicine and Public Health, University of California San Diego, La Jolla, CA, USA
| | - Robert Karlsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Ronald C Kessler
- Department of Health Care Policy, Harvard Medical School, Boston, MA, USA
| | | | - James MacKillop
- Peter Boris Centre for Addictions Research, McMaster University/St. Joseph's Healthcare Hamilton, Hamilton, Ontario, Canada
- Homewood Research Institute, Guelph, Ontario, Canada
| | - Minna Männikkö
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
| | - Carlos Morcillo-Suarez
- Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain
| | - Matthew B McQueen
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Klaus M Schmidt
- Department of Economics, University of Munich, Munich, Germany
| | - Melissa C Smart
- Institute for Social and Economic Research, University of Essex, Colchester, UK
| | - Matthias Sutter
- Department of Economics, University of Cologne, Cologne, Germany
- Experimental Economics Group, Max Planck Institute for Research into Collective Goods, Bonn, Germany
- Department of Public Finance, University of Innsbruck, Innsbruck, Austria
| | - A Roy Thurik
- Erasmus University Rotterdam Institute for Behavior and Biology, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, the Netherlands
- Montpellier Business School, Montpellier, France
| | - André G Uitterlinden
- Department of Internal Medicine, Erasmus Medical Centre, Rotterdam, the Netherlands
| | - Jon White
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, UK
| | - Harriet de Wit
- Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA
| | - Jian Yang
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia
- Queensland Brain Institute, The University of Queensland, Brisbane, Australia
| | - Lars Bertram
- Genetic and Molecular Epidemiology Group, Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics & Cardiogenetics, University of Lübeck, Lübeck, Germany
- Dept of Psychology, University of Olso, Oslo, Norway
- School of Public Health, Imperial College London, London, UK
| | - Dorret I Boomsma
- Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Tõnu Esko
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Ernst Fehr
- Department of Economics, University of Zurich, Zurich, Switzerland
| | | | - Magnus Johannesson
- Department of Economics, Stockholm School of Economics, Stockholm, Sweden
| | - Meena Kumari
- Institute for Social and Economic Research, University of Essex, Colchester, UK
| | - David Laibson
- Department of Economics, Harvard University, Cambridge, MA, USA
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Michelle N Meyer
- Center for Translational Bioethics and Health Care Policy, Geisinger Health System, Danville, PA, USA
| | - Arcadi Navarro
- Departament de Ciències Experimentals i de la Salut, Universitat Pompeu Fabra, Barcelona, Spain
- Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Catalonia, Spain
| | - Abraham A Palmer
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Tune H Pers
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
| | - Danielle Posthuma
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University Amsterdam, Amsterdam, the Netherlands
- Department of Clinical Genetics, VU Medical Centre, Amsterdam, the Netherlands
| | - Daniel Schunk
- Department of Economics, Johannes Gutenberg University, Mainz, Germany
| | - Murray B Stein
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Family Medicine and Public Health, University of California San Diego, La Jolla, CA, USA
| | - Rauli Svento
- Department of Economics and Finance, Oulu Business School, University of Oulu, Oulu, Finland
| | - Henning Tiemeier
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Paul R H J Timmers
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland
| | - Patrick Turley
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Analytic Translational Genetics Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Behavioral and Health Genomics Center, Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA
| | - Robert J Ursano
- Department of Psychiatry, Center for the Study of Traumatic Stress, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Gert G Wagner
- Socio-Economic Panel Study, DIW Berlin, Berlin, Germany
- Max Planck Institute for Human Development, Berlin, Germany
| | - James F Wilson
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, Scotland
| | - Jacob Gratten
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia
- Mater Medical Research Institute, Translational Research Institute, Brisbane, Australia
| | - James J Lee
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, MN, USA
| | - David Cesarini
- Department of Economics, New York University, New York, NY, USA
| | - Daniel J Benjamin
- Behavioral and Health Genomics Center, Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA
- Department of Economics, University of Southern California, Los Angeles, CA, USA
- National Bureau of Economic Research, Cambridge, MA, USA
| | - Philipp D Koellinger
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, VU University Amsterdam, Amsterdam, the Netherlands
- Department of Economics, VU University Amsterdam, Amsterdam, the Netherlands
- German Institute for Economic Research, DIW Berlin, Berlin, Germany
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Eibich P, Goldzahl L. DOES RETIREMENT AFFECT MAMMOGRAPHY USE? Innov Aging 2018. [DOI: 10.1093/geroni/igy023.522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Affiliation(s)
- P Eibich
- Max Planck Institute for Demographic Research
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Eibich P, Dakin HA, Price AJ, Beard D, Arden NK, Gray AM. Associations between preoperative Oxford hip and knee scores and costs and quality of life of patients undergoing primary total joint replacement in the NHS England: an observational study. BMJ Open 2018; 8:e019477. [PMID: 29643154 PMCID: PMC5898298 DOI: 10.1136/bmjopen-2017-019477] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
OBJECTIVES To assess how costs and quality of life (measured by EuroQoL-5 Dimensions (EQ-5D)) before and after total hip replacement (THR) and total knee replacement (TKR) vary with age, gender and preoperative Oxford hip score (OHS) and Oxford knee score (OKS). DESIGN Regression analyses using prospectively collected data from clinical trials, cohort studies and administrative data bases. SETTING UK secondary care. PARTICIPANTS Men and women undergoing primary THR or TKR. The Hospital Episode Statistics data linked to patient-reported outcome measures included 602 176 patients undergoing hip or knee replacement who were followed up for up to 6 years. The Knee Arthroplasty Trial included 2217 patients undergoing TKR who were followed up for 12 years. The Clinical Outcomes in Arthroplasty Study cohort included 806 patients undergoing THR and 484 patients undergoing TKR who were observed for 1 year. OUTCOME MEASURES EQ-5D-3L quality of life before and after surgery, costs of primary arthroplasty, costs of revision arthroplasty and the costs of hospital readmissions and ambulatory costs in the year before and up to 12 years after joint replacement. RESULTS Average postoperative utility for patients at the 5th percentile of the OHS/OKS distribution was 0.61/0.5 for THR/TKR and 0.89/0.85 for patients at the 95th percentile. The difference between postoperative and preoperative EQ-5D utility was highest for patients with preoperative OHS/OKS lower than 10. However, postoperative EQ-5D utility was higher than preoperative utility for all patients with OHS≤46 and those with OKS≤44. In contrast, costs were generally higher for patients with low preoperative OHS/OKS than those with high OHS/OKS. For example, costs of hospital readmissions within 12 months after primary THR/TKR were £740/£888 for patients at the 5th percentile compared with £314/£404 at the 95th percentile of the OHS/OKS distribution. CONCLUSIONS Our findings suggest that costs and quality of life associated with total joint replacement vary systematically with preoperative symptoms measured by OHS/OKS.
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Affiliation(s)
- Peter Eibich
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Max Planck Institute for Demographic Research, Rostock, Germany
| | - Helen A Dakin
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Andrew James Price
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - David Beard
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
| | - Nigel K Arden
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
- Faculty of Medicine, University of Southampton, Southampton, UK
| | - Alastair M Gray
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK
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König M, Drewelies J, Norman K, Spira D, Buchmann N, Hülür G, Eibich P, Wagner GG, Lindenberger U, Steinhagen-Thiessen E, Gerstorf D, Demuth I. Historical trends in modifiable indicators of cardiovascular health and self-rated health among older adults: Cohort differences over 20 years between the Berlin Aging Study (BASE) and the Berlin Aging Study II (BASE-II). PLoS One 2018; 13:e0191699. [PMID: 29385202 PMCID: PMC5792001 DOI: 10.1371/journal.pone.0191699] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2017] [Accepted: 01/09/2018] [Indexed: 02/07/2023] Open
Abstract
Background The last decades have seen great advances in the understanding, treatment, and prevention of cardiovascular disease (CVD). Although mortality rates due to CVD have declined significantly in the last decades, the burden of CVD is still high, particularly in older adults. This raises the question whether contemporary populations of older adults are experiencing better or worse objective as well as subjective health than earlier-born cohorts. The aim of this study was to examine differences in modifiable indicators of cardiovascular health (CVH), comparing data obtained 20 years apart in the Berlin Aging Study (BASE, 1990–93) and the Berlin Aging Study II (BASE-II, 2009–2014). Methods Serial cross-sectional analysis of 242 propensity-score-matched participants of BASE (born 1907–1922) and BASE-II (born 1925–1942). Body mass index (BMI), blood pressure, total cholesterol, glycated hemoglobin (HbA1c), diet, smoking and physical activity were operationalized according to the “Life’s simple 7“(LS7) criteria of the American Heart Association. Results 121 matched pairs were identified based on age, sex, and education. In the later-born BASE-II sample, the mean LS7 score was significantly higher than in the earlier-born sample (7.8±1.8 vs. 6.4±2.1, p<0.001), indicating better CVH. In detail, diet, physical activity, smoking, cholesterol, and HbA1c were more favorable, whereas blood pressure was significantly higher in individuals from the later-born cohort. BMI did not differ significantly between the two matched samples. Notably, despite better CVH, later-born individuals (BASE-II) reported lower self-rated health, presumably because of higher health expectations. Conclusions Overall, cardiovascular health was significantly better in the later-born cohort, but several notable exceptions exist.
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Affiliation(s)
- Maximilian König
- Lipid Clinic at the Interdisciplinary Metabolism Center, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Johanna Drewelies
- Department of Psychology, Humboldt University Berlin, Berlin, Germany
| | - Kristina Norman
- Geriatrics Research Group, Charité – Universitätsmedizin Berlin, Berlin, Germany
- Department of Nutrition and Gerontology, German Institute of Human Nutrition, Potsdam-Rehbrücke, Germany
| | - Dominik Spira
- Lipid Clinic at the Interdisciplinary Metabolism Center, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Nikolaus Buchmann
- Lipid Clinic at the Interdisciplinary Metabolism Center, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Gizem Hülür
- Department of Psychology, University of Zurich, Zurich, Switzerland
- University Research Priority Program (URPP) Dynamics of Healthy Aging, University of Zurich, Zurich, Switzerland
| | - Peter Eibich
- Health Economics Research Centre, University of Oxford, Oxford, United Kingdom
| | - Gert G. Wagner
- German Institute for Economic Research, Berlin, Germany
- Max Planck Institute for Human Development, Berlin, Germany
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, Germany
| | | | - Denis Gerstorf
- Department of Psychology, Humboldt University Berlin, Berlin, Germany
| | - Ilja Demuth
- Lipid Clinic at the Interdisciplinary Metabolism Center, Charité – Universitätsmedizin Berlin, Berlin, Germany
- * E-mail:
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Eibich P, Green A, Hattersley AT, Jennison C, Lonergan M, Pearson ER, Gray AM. Costs and Treatment Pathways for Type 2 Diabetes in the UK: A Mastermind Cohort Study. Diabetes Ther 2017; 8:1031-1045. [PMID: 28879529 PMCID: PMC5630552 DOI: 10.1007/s13300-017-0296-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2017] [Indexed: 11/26/2022] Open
Abstract
INTRODUCTION Medication therapy for type 2 diabetes has become increasingly complex, and there are few reliable data on the current state of clinical practice. We report treatment pathways and associated costs of medication therapy for people with type 2 diabetes in the UK, their variability and changes over time. METHODS Prescription and biomarker data for 7159 people with type 2 diabetes were extracted from the GoDARTS cohort study, covering the period 1989-2013. Average follow-up was 10 years. Individuals were prescribed on average 2.4 (SD: 1.2) drugs with average annual costs of £241. We calculated summary statistics for first- and second-line therapies. Linear regression models were used to estimate associations between therapy characteristics and baseline patient characteristics. RESULTS Average time from diagnosis to first prescription was 3 years (SD: 4.0 years). Almost all first-line therapy (98%) was monotherapy, with average annual cost of £83 (SD: £204) for 3.8 (SD: 3.5) years. Second-line therapy was initiated in 73% of all individuals, at an average annual cost of £219 (SD: £305). Therapies involving insulin were markedly more expensive than other common therapies. Baseline HbA1c was unrelated to future therapy costs, but higher average HbA1c levels over time were associated with higher costs. CONCLUSIONS Medication therapy has undergone substantial changes during the period covered in this study. For example, therapy is initiated earlier and is less expensive than in the past. The data provided in this study will prove useful for future modelling studies, e.g. of stratified treatment approaches.
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Affiliation(s)
- Peter Eibich
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
| | - Amelia Green
- Department of Mathematical Sciences, University of Bath, Bath, UK
| | | | | | - Mike Lonergan
- Division of Molecular and Clinical Medicine, School of Medicine, University of Dundee, Dundee, UK
| | - Ewan R Pearson
- Division of Molecular and Clinical Medicine, School of Medicine, University of Dundee, Dundee, UK
| | - Alastair M Gray
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK
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Kühn S, Düzel S, Eibich P, Krekel C, Wüstemann H, Kolbe J, Martensson J, Goebel J, Gallinat J, Wagner GG, Lindenberger U. In search of features that constitute an "enriched environment" in humans: Associations between geographical properties and brain structure. Sci Rep 2017; 7:11920. [PMID: 28931835 PMCID: PMC5607225 DOI: 10.1038/s41598-017-12046-7] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2017] [Accepted: 08/22/2017] [Indexed: 12/30/2022] Open
Abstract
Enriched environments elicit brain plasticity in animals. In humans it is unclear which environment is enriching. Living in a city has been associated with increased amygdala activity in a stress paradigm, and being brought up in a city with increased pregenual anterior cingulate cortex (pACC) activity. We set out to identify geographical characteristics that constitute an enriched environment affecting the human brain. We used structural equation modelling on 341 older adults to establish three latent brain factors (amygdala, pACC and dorsolateral prefrontal cortex (DLPFC)) to test the effects of forest, urban green, water and wasteland around the home address. Our results reveal a significant positive association between the coverage of forest and amygdala integrity. We conclude that forests may have salutogenic effects on the integrity of the amygdala. Since cross-sectional data does not allow causal inference it could also be that individuals with high structural integrity choose to live closer to forest.
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Affiliation(s)
- Simone Kühn
- Max Planck Institute for Human Development, Center for Lifespan Psychology, Lentzeallee 94, 14195, Berlin, Germany. .,University Clinic Hamburg-Eppendorf, Clinic and Policlinic for Psychiatry and Psychotherapy, Martinistraße 52, 20246, Hamburg, Germany.
| | - Sandra Düzel
- Max Planck Institute for Human Development, Center for Lifespan Psychology, Lentzeallee 94, 14195, Berlin, Germany
| | - Peter Eibich
- German Institute for Economic Research, Mohrenstrasse 58, 10117, Berlin, Germany.,University of Oxfor The Health Economics Research Centre (HERC) Old Road Campus, Headington, Oxford, OX3 7LF, UK
| | - Christian Krekel
- German Institute for Economic Research, Mohrenstrasse 58, 10117, Berlin, Germany.,Paris School of Ecoß 48 Boulevard Jourdan, 75014, Paris, France.,Centre for Economic Performance, London School of Economics, Houghton Street, London, WC2A 2AE, UK
| | - Henry Wüstemann
- Technical University Berlin, Institute for Landscape Architecture and Environmental Planning Landscape Economics, Straße des 17. Juni 145, 10623, Berlin, Germany
| | - Jens Kolbe
- Technical University Berlin, Institute for Economics and Business Law, Econometrics and Business Statistics, Straße des 17. Juni 135, 10623, Berlin, Germany
| | - Johan Martensson
- Max Planck Institute for Human Development, Center for Lifespan Psychology, Lentzeallee 94, 14195, Berlin, Germany
| | - Jan Goebel
- German Institute for Economic Research, Mohrenstrasse 58, 10117, Berlin, Germany
| | - Jürgen Gallinat
- University Clinic Hamburg-Eppendorf, Clinic and Policlinic for Psychiatry and Psychotherapy, Martinistraße 52, 20246, Hamburg, Germany
| | - Gert G Wagner
- Max Planck Institute for Human Development, Center for Lifespan Psychology, Lentzeallee 94, 14195, Berlin, Germany.,University of Oxfor The Health Economics Research Centre (HERC) Old Road Campus, Headington, Oxford, OX3 7LF, UK.,Technical University Berlin, Institute for Economics and Business Law, Econometrics and Business Statistics, Straße des 17. Juni 135, 10623, Berlin, Germany
| | - Ulman Lindenberger
- Max Planck Institute for Human Development, Center for Lifespan Psychology, Lentzeallee 94, 14195, Berlin, Germany.,European University Institute San Domenico, Fiesole, Italy
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22
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Mueller S, Wagner J, Drewelies J, Duezel S, Eibich P, Specht J, Demuth I, Steinhagen-Thiessen E, Wagner GG, Gerstorf D. Personality development in old age relates to physical health and cognitive performance: Evidence from the Berlin Aging Study II. Journal of Research in Personality 2016. [DOI: 10.1016/j.jrp.2016.08.007] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Okbay A, Baselmans BML, Neve JED, Turley P, Nivard MG, Fontana MA, Meddens SFW, Linnér RK, Rietveld CA, Derringer J, Gratten J, Lee JJ, Liu JZ, de Vlaming R, Ahluwalia TS, Buchwald J, Cavadino A, Frazier-Wood AC, Furlotte NA, Garfield V, Geisel MH, Gonzalez JR, Haitjema S, Karlsson R, van der Laan SW, Ladwig KH, Lahti J, van der Lee SJ, Lind PA, Liu T, Matteson L, Mihailov E, Miller MB, Minica CC, Nolte IM, Mook-Kanamori D, van der Most PJ, Oldmeadow C, Qian Y, Raitakari O, Rawal R, Realo A, Rueedi R, Schmidt B, Smith AV, Stergiakouli E, Tanaka T, Taylor K, Thorleifsson G, Wedenoja J, Wellmann J, Westra HJ, Willems SM, Zhao W, Amin N, Bakshi A, Bergmann S, Bjornsdottir G, Boyle PA, Cherney S, Cox SR, Davies G, Davis OSP, Ding J, Direk N, Eibich P, Emeny RT, Fatemifar G, Faul JD, Ferrucci L, Forstner AJ, Gieger C, Gupta R, Harris TB, Harris JM, Holliday EG, Hottenga JJ, Jager PLD, Kaakinen MA, Kajantie E, Karhunen V, Kolcic I, Kumari M, Launer LJ, Franke L, Li-Gao R, Liewald DC, Koini M, Loukola A, Marques-Vidal P, Montgomery GW, Mosing MA, Paternoster L, Pattie A, Petrovic KE, Pulkki-Råback L, Quaye L, Räikkönen K, Rudan I, Scott RJ, Smith JA, Sutin AR, Trzaskowski M, Vinkhuyzen AE, Yu L, Zabaneh D, Attia JR, Bennett DA, Berger K, Bertram L, Boomsma DI, Snieder H, Chang SC, Cucca F, Deary IJ, van Duijn CM, Eriksson JG, Bültmann U, de Geus EJC, Groenen PJF, Gudnason V, Hansen T, Hartman CA, Haworth CMA, Hayward C, Heath AC, Hinds DA, Hyppönen E, Iacono WG, Järvelin MR, Jöckel KH, Kaprio J, Kardia SLR, Keltikangas-Järvinen L, Kraft P, Kubzansky LD, Lehtimäki T, Magnusson PKE, Martin NG, McGue M, Metspalu A, Mills M, de Mutsert R, Oldehinkel AJ, Pasterkamp G, Pedersen NL, Plomin R, Polasek O, Power C, Rich SS, Rosendaal FR, den Ruijter HM, Schlessinger D, Schmidt H, Svento R, Schmidt R, Alizadeh BZ, Sørensen TIA, Spector TD, Starr JM, Stefansson K, Steptoe A, Terracciano A, Thorsteinsdottir U, Thurik AR, Timpson NJ, Tiemeier H, Uitterlinden AG, Vollenweider P, Wagner GG, Weir DR, Yang J, Conley DC, Smith GD, Hofman A, Johannesson M, Laibson DI, Medland SE, Meyer MN, Pickrell JK, Esko T, Krueger RF, Beauchamp JP, Koellinger PD, Benjamin DJ, Bartels M, Cesarini D. Corrigendum: Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses. Nat Genet 2016; 48:970. [PMID: 27463399 DOI: 10.1038/ng0816-970c] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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24
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Okbay A, Baselmans BML, De Neve JE, Turley P, Nivard MG, Fontana MA, Meddens SFW, Linnér RK, Rietveld CA, Derringer J, Gratten J, Lee JJ, Liu JZ, de Vlaming R, Ahluwalia TS, Buchwald J, Cavadino A, Frazier-Wood AC, Furlotte NA, Garfield V, Geisel MH, Gonzalez JR, Haitjema S, Karlsson R, van der Laan SW, Ladwig KH, Lahti J, van der Lee SJ, Lind PA, Liu T, Matteson L, Mihailov E, Miller MB, Minica CC, Nolte IM, Mook-Kanamori D, van der Most PJ, Oldmeadow C, Qian Y, Raitakari O, Rawal R, Realo A, Rueedi R, Schmidt B, Smith AV, Stergiakouli E, Tanaka T, Taylor K, Thorleifsson G, Wedenoja J, Wellmann J, Westra HJ, Willems SM, Zhao W, Amin N, Bakshi A, Bergmann S, Bjornsdottir G, Boyle PA, Cherney S, Cox SR, Davies G, Davis OSP, Ding J, Direk N, Eibich P, Emeny RT, Fatemifar G, Faul JD, Ferrucci L, Forstner AJ, Gieger C, Gupta R, Harris TB, Harris JM, Holliday EG, Hottenga JJ, De Jager PL, Kaakinen MA, Kajantie E, Karhunen V, Kolcic I, Kumari M, Launer LJ, Franke L, Li-Gao R, Liewald DC, Koini M, Loukola A, Marques-Vidal P, Montgomery GW, Mosing MA, Paternoster L, Pattie A, Petrovic KE, Pulkki-Råback L, Quaye L, Räikkönen K, Rudan I, Scott RJ, Smith JA, Sutin AR, Trzaskowski M, Vinkhuyzen AE, Yu L, Zabaneh D, Attia JR, Bennett DA, Berger K, Bertram L, Boomsma DI, Snieder H, Chang SC, Cucca F, Deary IJ, van Duijn CM, Eriksson JG, Bültmann U, de Geus EJC, Groenen PJF, Gudnason V, Hansen T, Hartman CA, Haworth CMA, Hayward C, Heath AC, Hinds DA, Hyppönen E, Iacono WG, Järvelin MR, Jöckel KH, Kaprio J, Kardia SLR, Keltikangas-Järvinen L, Kraft P, Kubzansky LD, Lehtimäki T, Magnusson PKE, Martin NG, McGue M, Metspalu A, Mills M, de Mutsert R, Oldehinkel AJ, Pasterkamp G, Pedersen NL, Plomin R, Polasek O, Power C, Rich SS, Rosendaal FR, den Ruijter HM, Schlessinger D, Schmidt H, Svento R, Schmidt R, Alizadeh BZ, Sørensen TIA, Spector TD, Starr JM, Stefansson K, Steptoe A, Terracciano A, Thorsteinsdottir U, Thurik AR, Timpson NJ, Tiemeier H, Uitterlinden AG, Vollenweider P, Wagner GG, Weir DR, Yang J, Conley DC, Smith GD, Hofman A, Johannesson M, Laibson DI, Medland SE, Meyer MN, Pickrell JK, Esko T, Krueger RF, Beauchamp JP, Koellinger PD, Benjamin DJ, Bartels M, Cesarini D. Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses. Nat Genet 2016; 48:624-33. [PMID: 27089181 PMCID: PMC4884152 DOI: 10.1038/ng.3552] [Citation(s) in RCA: 561] [Impact Index Per Article: 70.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2015] [Accepted: 03/24/2016] [Indexed: 12/15/2022]
Abstract
Very few genetic variants have been associated with depression and neuroticism, likely because of limitations on sample size in previous studies. Subjective well-being, a phenotype that is genetically correlated with both of these traits, has not yet been studied with genome-wide data. We conducted genome-wide association studies of three phenotypes: subjective well-being (n = 298,420), depressive symptoms (n = 161,460), and neuroticism (n = 170,911). We identify 3 variants associated with subjective well-being, 2 variants associated with depressive symptoms, and 11 variants associated with neuroticism, including 2 inversion polymorphisms. The two loci associated with depressive symptoms replicate in an independent depression sample. Joint analyses that exploit the high genetic correlations between the phenotypes (|ρ^| ≈ 0.8) strengthen the overall credibility of the findings and allow us to identify additional variants. Across our phenotypes, loci regulating expression in central nervous system and adrenal or pancreas tissues are strongly enriched for association.
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Affiliation(s)
- Aysu Okbay
- Department of Applied Economics, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
- Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, the Netherlands
| | - Bart M L Baselmans
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, the Netherlands
- EMGO+ Institute for Health and Care Research, Amsterdam, the Netherlands
| | | | - Patrick Turley
- Department of Economics, Harvard University, Cambridge, Massachusetts, USA
| | - Michel G Nivard
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, the Netherlands
| | - Mark Alan Fontana
- Center for Economic and Social Research, University of Southern California, Los Angeles, California, USA
| | - S Fleur W Meddens
- Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, the Netherlands
- Department of Complex Trait Genetics, Vrije Universiteit, Center for Neurogenomics and Cognitive Research, Amsterdam, the Netherlands
- Amsterdam Business School, University of Amsterdam, Amsterdam, the Netherlands
| | - Richard Karlsson Linnér
- Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, the Netherlands
- Department of Complex Trait Genetics, Vrije Universiteit, Center for Neurogenomics and Cognitive Research, Amsterdam, the Netherlands
- Amsterdam Business School, University of Amsterdam, Amsterdam, the Netherlands
| | - Cornelius A Rietveld
- Department of Applied Economics, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
- Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, the Netherlands
| | - Jaime Derringer
- Department of Psychology, University of Illinois, Champaign, Illinois, USA
| | - Jacob Gratten
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
| | - James J Lee
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, Minnesota, USA
| | - Jimmy Z Liu
- New York Genome Center, New York, New York, USA
| | - Ronald de Vlaming
- Department of Applied Economics, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
- Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, the Netherlands
| | - Tarunveer S Ahluwalia
- COPSAC (Copenhagen Prospective Studies on Asthma in Childhood), Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen, Denmark
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, University of Copenhagen, Faculty of Health and Medical Sciences, Copenhagen, Denmark
- Steno Diabetes Center, Gentofte, Denmark
| | - Jadwiga Buchwald
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Alana Cavadino
- Centre for Environmental and Preventive Medicine, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Alexis C Frazier-Wood
- USDA-ARS Children's Nutrition Research Center, Baylor College of Medicine, Houston, Texas, USA
| | | | - Victoria Garfield
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Marie Henrike Geisel
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, Essen, Germany
| | - Juan R Gonzalez
- Centre for Research in Environmental Epidemiology, Institute for Global Health, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER Epidemiología y Salud Pública, Barcelona, Spain
| | - Saskia Haitjema
- Laboratory of Experimental Cardiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Robert Karlsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Sander W van der Laan
- Laboratory of Experimental Cardiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Karl-Heinz Ladwig
- Department of Psychosomatic Medicine and Psychotherapy, Klinikum Rechts der Isar, Technische Universität München, Munich, Germany
| | - Jari Lahti
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
- Folkhälsan Research Centre, Helsingfors, Finland
- Helsinki Collegium for Advanced Studies, University of Helsinki, Helsinki, Finland
| | - Sven J van der Lee
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Penelope A Lind
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Tian Liu
- Max Planck Institute for Human Development, Berlin, Germany
- Max Planck Institute for Molecular Genetics, Department of Vertebrate Genomics, Berlin, Germany
| | - Lindsay Matteson
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, Minnesota, USA
| | | | - Michael B Miller
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, Minnesota, USA
| | - Camelia C Minica
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, the Netherlands
| | - Ilja M Nolte
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Dennis Mook-Kanamori
- Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
- Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands
- BESC, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia
| | - Peter J van der Most
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Christopher Oldmeadow
- Public Health Stream, Hunter Medical Research Institute, New Lambton, New South Wales, Australia
- Faculty of Health and Medicine, University of Newcastle, Newcastle, New South Wales, Australia
| | - Yong Qian
- Laboratory of Genetics, National Institute on Aging, Baltimore, Maryland, USA
| | - Olli Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology, Turku University Hospital, Turku, Finland
| | - Rajesh Rawal
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Anu Realo
- Department of Psychology, University of Tartu, Tartu, Estonia
- Department of Psychology, University of Warwick, Coventry, UK
| | - Rico Rueedi
- Department of Computational Biology, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Börge Schmidt
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, Essen, Germany
| | - Albert V Smith
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Evie Stergiakouli
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Toshiko Tanaka
- National Institute on Aging, US National Institutes of Health, Baltimore, Maryland, USA
| | - Kent Taylor
- Los Angeles Biomedical Research Institute and Department of Pediatrics, Harbor-UCLA, Torrence, California, USA
| | | | - Juho Wedenoja
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Juergen Wellmann
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Harm-Jan Westra
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Division of Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Sara M Willems
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Wei Zhao
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Najaf Amin
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Andrew Bakshi
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
| | | | | | - Patricia A Boyle
- Department of Behavioral Sciences, Rush University Medical Center, Chicago, Illinois, USA
| | | | - Simon R Cox
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Gail Davies
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Oliver S P Davis
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Jun Ding
- Laboratory of Genetics, National Institute on Aging, Baltimore, Maryland, USA
| | - Nese Direk
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Peter Eibich
- German Socio-Economic Panel Study, DIW Berlin, Berlin, Germany
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Rebecca T Emeny
- Institute of Epidemiology II, Mental Health Research Unit, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire, USA
| | - Ghazaleh Fatemifar
- Farr Institute of Health Informatics, University College London, London, UK
| | - Jessica D Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan, USA
| | - Luigi Ferrucci
- National Institute on Aging, US National Institutes of Health, Baltimore, Maryland, USA
| | - Andreas J Forstner
- Institute of Human Genetics, University of Bonn, Bonn, Germany
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn, Germany
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Richa Gupta
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Tamara B Harris
- Laboratory of Epidemiology, Demography, National Institute on Aging, US National Institutes of Health, Bethesda, Maryland, USA
| | - Juliette M Harris
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Elizabeth G Holliday
- Public Health Stream, Hunter Medical Research Institute, New Lambton, New South Wales, Australia
- Faculty of Health and Medicine, University of Newcastle, Newcastle, New South Wales, Australia
| | - Jouke-Jan Hottenga
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, the Netherlands
- EMGO+ Institute for Health and Care Research, Amsterdam, the Netherlands
| | - Philip L De Jager
- Program in Translational NeuroPsychiatric Genomics, Departments of Neurology and Psychiatry, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
| | - Marika A Kaakinen
- Department of Genomics of Common Disease, Imperial College London, London, UK
- Center for Life Course Health Research, University of Oulu and Oulu University Hospital, Oulu, Finland
| | - Eero Kajantie
- Department of Pediatrics, University of Helsinki, Helsinki, Finland
- National Institute for Health and Welfare, Helsinki, Finland
| | - Ville Karhunen
- Center for Life Course Health Research, University of Oulu and Oulu University Hospital, Oulu, Finland
| | - Ivana Kolcic
- Department of Public Health, Faculty of Medicine, University of Split, Split, Croatia
| | - Meena Kumari
- Institute for Social and Economic Research, University of Essex, Wivenhoe Park, UK
| | - Lenore J Launer
- Neuroepidemiology Section, National Institute on Aging, US National Institutes of Health, Bethesda, Maryland, USA
| | - Lude Franke
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Ruifang Li-Gao
- Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | | | - Marisa Koini
- Department of Neurology, General Hospital and Medical University Graz, Graz, Austria
| | - Anu Loukola
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Pedro Marques-Vidal
- Department of Internal Medicine, Internal Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Grant W Montgomery
- Molecular Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Miriam A Mosing
- Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | | | - Alison Pattie
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Katja E Petrovic
- Department of Neurology, General Hospital and Medical University Graz, Graz, Austria
| | - Laura Pulkki-Råback
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
- Helsinki Collegium for Advanced Studies, University of Helsinki, Helsinki, Finland
| | - Lydia Quaye
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Katri Räikkönen
- Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland
| | - Igor Rudan
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Rodney J Scott
- Faculty of Health and Medicine, University of Newcastle, Newcastle, New South Wales, Australia
- Information-Based Medicine Stream, Hunter Medical Research Institute, New Lambton, New South Wales, Australia
| | - Jennifer A Smith
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA
| | - Angelina R Sutin
- National Institute on Aging, US National Institutes of Health, Baltimore, Maryland, USA
- Department of Behavioral Sciences and Social Medicine, Florida State University College of Medicine, Tallahassee, Florida, USA
| | - Maciej Trzaskowski
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
- Department of Public Health, Faculty of Medicine, University of Split, Split, Croatia
| | - Anna E Vinkhuyzen
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
| | - Lei Yu
- Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, USA
| | - Delilah Zabaneh
- Department of Public Health, Faculty of Medicine, University of Split, Split, Croatia
| | - John R Attia
- Public Health Stream, Hunter Medical Research Institute, New Lambton, New South Wales, Australia
- Faculty of Health and Medicine, University of Newcastle, Newcastle, New South Wales, Australia
| | - David A Bennett
- Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, USA
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Lars Bertram
- Lübeck Interdisciplinary Platform for Genome Analytics (LIGA), Institute of Neurogenetics and Institute of Integrative and Experimental Genomics, University of Lübeck, Lübeck, Germany
- Neuroepidemiology and Ageing Research Unit, School of Public Health, Faculty of Medicine, Imperial College London, London, UK
| | - Dorret I Boomsma
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, the Netherlands
- EMGO+ Institute for Health and Care Research, Amsterdam, the Netherlands
- Neuroscience Campus Amsterdam, Amsterdam, the Netherlands
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Shun-Chiao Chang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Francesco Cucca
- Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche, Cittadella Universitarià di Monserrato, Monserrato, Italy
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | | | - Johan G Eriksson
- Department of General Practice and Primary Health Care, University of Helsinki, Helsinki, Finland
- Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
- Unit of General Practice, University Central Hospital, Helsinki, Finland
| | - Ute Bültmann
- Department of Health Sciences, Community and Occupational Medicine, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Eco J C de Geus
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, the Netherlands
- EMGO+ Institute for Health and Care Research, Amsterdam, the Netherlands
- Neuroscience Campus Amsterdam, Amsterdam, the Netherlands
| | - Patrick J F Groenen
- Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, the Netherlands
- Econometric Institute, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, the Netherlands
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, University of Copenhagen, Faculty of Health and Medical Sciences, Copenhagen, Denmark
| | - Catharine A Hartman
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | | | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Andrew C Heath
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri, USA
| | | | - Elina Hyppönen
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
- Centre for Population Health Research, School of Health Sciences and Sansom Institute, University of South Australia, Adelaide, South Australia, Australia
- Population, Policy and Practice, UCL Institute of Child Health, London, UK
| | - William G Iacono
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, Minnesota, USA
| | - Marjo-Riitta Järvelin
- Department of Genomics of Common Disease, Imperial College London, London, UK
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Unit of Primary Care, Oulu University Hospital, Oulu, Finland
| | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, Essen, Germany
| | - Jaakko Kaprio
- Department of Public Health, University of Helsinki, Helsinki, Finland
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Department for Health, THL (National Institute for Health and Welfare), Helsinki, Finland
| | - Sharon L R Kardia
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan, USA
| | | | - Peter Kraft
- Department of Epidemiology and Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Laura D Kubzansky
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Terho Lehtimäki
- Fimlab Laboratories, Tampere, Finland
- Department of Clinical Chemistry, University of Tampere, School of Medicine, Tampere, Finland
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Nicholas G Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Matt McGue
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, Minnesota, USA
| | - Andres Metspalu
- Estonian Genome Center, University of Tartu, Tartu, Estonia
- Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia
| | - Melinda Mills
- Department of Sociology, University of Oxford, Oxford, UK
| | - Renée de Mutsert
- Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Albertine J Oldehinkel
- Econometric Institute, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, the Netherlands
| | - Gerard Pasterkamp
- Laboratory of Experimental Cardiology, University Medical Center Utrecht, Utrecht, the Netherlands
- Laboratory of Clinical Chemistry and Hematology, Division of Laboratories and Pharmacy, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Robert Plomin
- Social, Genetic and Developmental Psychiatry Centre, King's College London, De Crespigny Park, UK
| | - Ozren Polasek
- Department of Public Health, Faculty of Medicine, University of Split, Split, Croatia
| | - Christine Power
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
- Population, Policy and Practice, UCL Institute of Child Health, London, UK
| | - Stephen S Rich
- Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, USA
| | - Frits R Rosendaal
- Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Hester M den Ruijter
- Laboratory of Experimental Cardiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - David Schlessinger
- Laboratory of Genetics, National Institute on Aging, Baltimore, Maryland, USA
| | - Helena Schmidt
- Department of Neurology, General Hospital and Medical University Graz, Graz, Austria
- Research Unit for Genetic Epidemiology, Institute of Molecular Biology and Biochemistry, Center of Molecular Medicine, General Hospital and Medical University Graz, Graz, Austria
| | - Rauli Svento
- Department of Economics, Oulu Business School, Oulu, Finland
| | - Reinhold Schmidt
- Department of Neurology, General Hospital and Medical University Graz, Graz, Austria
| | - Behrooz Z Alizadeh
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Department of Gastroenterology and Hepatology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Thorkild I A Sørensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, University of Copenhagen, Faculty of Health and Medical Sciences, Copenhagen, Denmark
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospitals, Capital Region, Frederiksberg, Denmark
| | - Tim D Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | | | | | - Andrew Steptoe
- Department of Epidemiology and Public Health, University College London, London, UK
| | - Antonio Terracciano
- National Institute on Aging, US National Institutes of Health, Baltimore, Maryland, USA
- Department of Behavioral Sciences and Social Medicine, Florida State University College of Medicine, Tallahassee, Florida, USA
| | | | - A Roy Thurik
- Department of Applied Economics, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, the Netherlands
- Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, the Netherlands
- Montpellier Business School, Montpellier, France
- Panteia, Zoetermeer, the Netherlands
| | | | - Henning Tiemeier
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
- Department of Psychiatry, Erasmus Medical Center, Rotterdam, the Netherlands
- Department of Child and Adolescent Psychiatry, Erasmus Medical Center, Rotterdam, the Netherlands
| | - André G Uitterlinden
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
- Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, the Netherlands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Peter Vollenweider
- Department of Internal Medicine, Internal Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Gert G Wagner
- Max Planck Institute for Human Development, Berlin, Germany
- German Socio-Economic Panel Study, DIW Berlin, Berlin, Germany
- School of Economics and Management, Berlin University of Technology, Berlin, Germany
| | - David R Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan, USA
| | - Jian Yang
- Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
- University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia
| | - Dalton C Conley
- Department of Sociology, Princeton University, Princeton, New Jersey, USA
| | | | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Magnus Johannesson
- Department of Economics, Stockholm School of Economics, Stockholm, Sweden
| | - David I Laibson
- Department of Economics, Harvard University, Cambridge, Massachusetts, USA
| | - Sarah E Medland
- Psychiatric Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Michelle N Meyer
- Department of Bioethics, Clarkson University, Schenectady, New York, USA
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Joseph K Pickrell
- New York Genome Center, New York, New York, USA
- Department of Biological Sciences, Columbia University, New York, New York, USA
| | - Tõnu Esko
- Estonian Genome Center, University of Tartu, Tartu, Estonia
| | - Robert F Krueger
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, Minnesota, USA
| | | | - Philipp D Koellinger
- Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, the Netherlands
- Department of Complex Trait Genetics, Vrije Universiteit, Center for Neurogenomics and Cognitive Research, Amsterdam, the Netherlands
- Amsterdam Business School, University of Amsterdam, Amsterdam, the Netherlands
| | - Daniel J Benjamin
- Center for Economic and Social Research, University of Southern California, Los Angeles, California, USA
| | - Meike Bartels
- Department of Biological Psychology, Vrije Universiteit, Amsterdam, the Netherlands
- EMGO+ Institute for Health and Care Research, Amsterdam, the Netherlands
- Neuroscience Campus Amsterdam, Amsterdam, the Netherlands
| | - David Cesarini
- Department of Economics, New York University, New York, New York, USA
- Research Institute for Industrial Economics, Stockholm, Sweden
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Okbay A, Beauchamp JP, Fontana MA, Lee JJ, Pers TH, Rietveld CA, Turley P, Chen GB, Emilsson V, Meddens SFW, Oskarsson S, Pickrell JK, Thom K, Timshel P, de Vlaming R, Abdellaoui A, Ahluwalia TS, Bacelis J, Baumbach C, Bjornsdottir G, Brandsma JH, Pina Concas M, Derringer J, Furlotte NA, Galesloot TE, Girotto G, Gupta R, Hall LM, Harris SE, Hofer E, Horikoshi M, Huffman JE, Kaasik K, Kalafati IP, Karlsson R, Kong A, Lahti J, van der Lee SJ, deLeeuw C, Lind PA, Lindgren KO, Liu T, Mangino M, Marten J, Mihailov E, Miller MB, van der Most PJ, Oldmeadow C, Payton A, Pervjakova N, Peyrot WJ, Qian Y, Raitakari O, Rueedi R, Salvi E, Schmidt B, Schraut KE, Shi J, Smith AV, Poot RA, St Pourcain B, Teumer A, Thorleifsson G, Verweij N, Vuckovic D, Wellmann J, Westra HJ, Yang J, Zhao W, Zhu Z, Alizadeh BZ, Amin N, Bakshi A, Baumeister SE, Biino G, Bønnelykke K, Boyle PA, Campbell H, Cappuccio FP, Davies G, De Neve JE, Deloukas P, Demuth I, Ding J, Eibich P, Eisele L, Eklund N, Evans DM, Faul JD, Feitosa MF, Forstner AJ, Gandin I, Gunnarsson B, Halldórsson BV, Harris TB, Heath AC, Hocking LJ, Holliday EG, Homuth G, Horan MA, Hottenga JJ, de Jager PL, Joshi PK, Jugessur A, Kaakinen MA, Kähönen M, Kanoni S, Keltigangas-Järvinen L, Kiemeney LALM, Kolcic I, Koskinen S, Kraja AT, Kroh M, Kutalik Z, Latvala A, Launer LJ, Lebreton MP, Levinson DF, Lichtenstein P, Lichtner P, Liewald DCM, Loukola A, Madden PA, Mägi R, Mäki-Opas T, Marioni RE, Marques-Vidal P, Meddens GA, McMahon G, Meisinger C, Meitinger T, Milaneschi Y, Milani L, Montgomery GW, Myhre R, Nelson CP, Nyholt DR, Ollier WER, Palotie A, Paternoster L, Pedersen NL, Petrovic KE, Porteous DJ, Räikkönen K, Ring SM, Robino A, Rostapshova O, Rudan I, Rustichini A, Salomaa V, Sanders AR, Sarin AP, Schmidt H, Scott RJ, Smith BH, Smith JA, Staessen JA, Steinhagen-Thiessen E, Strauch K, Terracciano A, Tobin MD, Ulivi S, Vaccargiu S, Quaye L, van Rooij FJA, Venturini C, Vinkhuyzen AAE, Völker U, Völzke H, Vonk JM, Vozzi D, Waage J, Ware EB, Willemsen G, Attia JR, Bennett DA, Berger K, Bertram L, Bisgaard H, Boomsma DI, Borecki IB, Bültmann U, Chabris CF, Cucca F, Cusi D, Deary IJ, Dedoussis GV, van Duijn CM, Eriksson JG, Franke B, Franke L, Gasparini P, Gejman PV, Gieger C, Grabe HJ, Gratten J, Groenen PJF, Gudnason V, van der Harst P, Hayward C, Hinds DA, Hoffmann W, Hyppönen E, Iacono WG, Jacobsson B, Järvelin MR, Jöckel KH, Kaprio J, Kardia SLR, Lehtimäki T, Lehrer SF, Magnusson PKE, Martin NG, McGue M, Metspalu A, Pendleton N, Penninx BWJH, Perola M, Pirastu N, Pirastu M, Polasek O, Posthuma D, Power C, Province MA, Samani NJ, Schlessinger D, Schmidt R, Sørensen TIA, Spector TD, Stefansson K, Thorsteinsdottir U, Thurik AR, Timpson NJ, Tiemeier H, Tung JY, Uitterlinden AG, Vitart V, Vollenweider P, Weir DR, Wilson JF, Wright AF, Conley DC, Krueger RF, Davey Smith G, Hofman A, Laibson DI, Medland SE, Meyer MN, Yang J, Johannesson M, Visscher PM, Esko T, Koellinger PD, Cesarini D, Benjamin DJ. Genome-wide association study identifies 74 loci associated with educational attainment. Nature 2016; 533:539-42. [PMID: 27225129 PMCID: PMC4883595 DOI: 10.1038/nature17671] [Citation(s) in RCA: 733] [Impact Index Per Article: 91.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2015] [Accepted: 03/16/2016] [Indexed: 01/15/2023]
Abstract
Educational attainment is strongly influenced by social and other environmental factors, but genetic factors are estimated to account for at least 20% of the variation across individuals. Here we report the results of a genome-wide association study (GWAS) for educational attainment that extends our earlier discovery sample of 101,069 individuals to 293,723 individuals, and a replication study in an independent sample of 111,349 individuals from the UK Biobank. We identify 74 genome-wide significant loci associated with the number of years of schooling completed. Single-nucleotide polymorphisms associated with educational attainment are disproportionately found in genomic regions regulating gene expression in the fetal brain. Candidate genes are preferentially expressed in neural tissue, especially during the prenatal period, and enriched for biological pathways involved in neural development. Our findings demonstrate that, even for a behavioural phenotype that is mostly environmentally determined, a well-powered GWAS identifies replicable associated genetic variants that suggest biologically relevant pathways. Because educational attainment is measured in large numbers of individuals, it will continue to be useful as a proxy phenotype in efforts to characterize the genetic influences of related phenotypes, including cognition and neuropsychiatric diseases.
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Affiliation(s)
- Aysu Okbay
- Department of Applied Economics, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, 3062 PA, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, 3015 GE, The Netherlands
- Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, 3062 PA, The Netherlands
| | - Jonathan P Beauchamp
- Department of Economics, Harvard University, Cambridge, Massachusetts 02138, USA
| | - Mark Alan Fontana
- Center for Economic and Social Research, University of Southern California, Los Angeles, California 90089-3332, USA
| | - James J Lee
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, Minnesota 55455, USA
| | - Tune H Pers
- Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, Massachusetts 2116, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, University of Copenhagen, Faculty of Health and Medical Sciences, Copenhagen 2100, Denmark
- Statens Serum Institut, Department of Epidemiology Research, Copenhagen 2300, Denmark
| | - Cornelius A Rietveld
- Department of Applied Economics, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, 3062 PA, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, 3015 GE, The Netherlands
- Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, 3062 PA, The Netherlands
| | - Patrick Turley
- Department of Economics, Harvard University, Cambridge, Massachusetts 02138, USA
| | - Guo-Bo Chen
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Valur Emilsson
- Icelandic Heart Association, Kopavogur 201, Iceland
- Faculty of Pharmaceutical Sciences, University of Iceland, Reykjavík 107, Iceland
| | - S Fleur W Meddens
- Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, 3062 PA, The Netherlands
- Department of Complex Trait Genetics, VU University, Center for Neurogenomics and Cognitive Research, Amsterdam, 1081 HV, The Netherlands
- Amsterdam Business School, University of Amsterdam, Amsterdam, 1018 TV, The Netherlands
| | - Sven Oskarsson
- Department of Government, Uppsala University, Uppsala 751 20, Sweden
| | | | - Kevin Thom
- Department of Economics, New York University, New York, New York 10012, USA
| | - Pascal Timshel
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
- Center for Biological Sequence Analysis, Department of Systems Biology, Technical University of Denmark Lyngby 2800, Denmark
| | - Ronald de Vlaming
- Department of Applied Economics, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, 3062 PA, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, 3015 GE, The Netherlands
- Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, 3062 PA, The Netherlands
| | - Abdel Abdellaoui
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, 1081 BT, The Netherlands
| | - Tarunveer S Ahluwalia
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, University of Copenhagen, Faculty of Health and Medical Sciences, Copenhagen 2100, Denmark
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen 2820, Denmark
- Steno Diabetes Center, Gentofte 2820, Denmark
| | - Jonas Bacelis
- Department of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy, Gothenburg 416 85, Sweden
| | - Clemens Baumbach
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
| | | | - Johannes H Brandsma
- Department of Cell Biology, Erasmus Medical Center Rotterdam, 3015 CN, The Netherlands
| | - Maria Pina Concas
- Istituto di Ricerca Genetica e Biomedica U.O.S. di Sassari, National Research Council of Italy, Sassari 07100, Italy
| | - Jaime Derringer
- Psychology, University of Illinois, Champaign, Illinois 61820, USA
| | | | - Tessel E Galesloot
- Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, 6500 HB, The Netherlands
| | - Giorgia Girotto
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste 34100, Italy
| | - Richa Gupta
- Department of Public Health, University of Helsinki, 00014 Helsinki, Finland
| | - Leanne M Hall
- Department of Cardiovascular Sciences, University of Leicester, Leicester LE3 9QP, UK
- NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester LE3 9QP, UK
| | - Sarah E Harris
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Edith Hofer
- Department of Neurology, General Hospital and Medical University Graz, Graz 8036, Austria
- Institute for Medical Informatics, Statistics and Documentation, General Hospital and Medical University Graz, Graz 8036, Austria
| | - Momoko Horikoshi
- Oxford Centre for Diabetes, Endocrinology &Metabolism, University of Oxford, Oxford OX3 7LE, UK
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Jennifer E Huffman
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Kadri Kaasik
- Institute of Behavioural Sciences, University of Helsinki, 00014 Helsinki, Finland
| | - Ioanna P Kalafati
- Nutrition and Dietetics, Health Science and Education, Harokopio University, Athens 17671, Greece
| | - Robert Karlsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 171 77, Sweden
| | | | - Jari Lahti
- Institute of Behavioural Sciences, University of Helsinki, 00014 Helsinki, Finland
- Folkhälsan Research Centre, 00014 Helsingfors, Finland
| | - Sven J van der Lee
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, 3015 GE, The Netherlands
| | - Christiaan deLeeuw
- Department of Complex Trait Genetics, VU University, Center for Neurogenomics and Cognitive Research, Amsterdam, 1081 HV, The Netherlands
- Institute for Computing and Information Sciences, Radboud University Nijmegen, Nijmegen, 6525 EC, The Netherlands
| | - Penelope A Lind
- Quantitative Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4029, Australia
| | | | - Tian Liu
- Lifespan Psychology, Max Planck Institute for Human Development, Berlin 14195, Germany
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK
- NIHR Biomedical Research Centre, Guy's and St. Thomas' Foundation Trust, London SE1 7EH, UK
| | - Jonathan Marten
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Evelin Mihailov
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
| | - Michael B Miller
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, Minnesota 55455, USA
| | - Peter J van der Most
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, 9700 RB, The Netherlands
| | - Christopher Oldmeadow
- Public Health Stream, Hunter Medical Research Institute, New Lambton, NSW 2305, Australia
- Faculty of Health and Medicine, University of Newcastle, Newcastle, NSW 2300, Australia
| | - Antony Payton
- Centre for Integrated Genomic Medical Research, Institute of Population Health, The University of Manchester, Manchester M13 9PT, UK
- Human Communication and Deafness, School of Psychological Sciences, The University of Manchester, Manchester M13 9PL, UK
| | - Natalia Pervjakova
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
- Department of Health, THL-National Institute for Health and Welfare, 00271 Helsinki, Finland
| | - Wouter J Peyrot
- Psychiatry, VU University Medical Center &GGZ inGeest, Amsterdam, 1081 HL, The Netherlands
| | - Yong Qian
- Laboratory of Genetics, National Institute on Aging, Baltimore, Maryland 21224, USA
| | - Olli Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, 20521 Turku, Finland
| | - Rico Rueedi
- Department of Medical Genetics, University of Lausanne, Lausanne 1005, Switzerland
- Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland
| | - Erika Salvi
- Department Of Health Sciences, University of Milan, Milano 20142, Italy
| | - Börge Schmidt
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, Essen 45147, Germany
| | - Katharina E Schraut
- Centre for Global Health Research, The Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh EH8 9AG, UK
| | - Jianxin Shi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892-9780, USA
| | - Albert V Smith
- Icelandic Heart Association, Kopavogur 201, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik 101, Iceland
| | - Raymond A Poot
- Department of Cell Biology, Erasmus Medical Center Rotterdam, 3015 CN, The Netherlands
| | - Beate St Pourcain
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- School of Oral and Dental Sciences, University of Bristol, Bristol BS1 2LY, UK
| | - Alexander Teumer
- Institute for Community Medicine, University Medicine Greifswald, Greifswald 17475, Germany
| | | | - Niek Verweij
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, 9700 RB, The Netherlands
| | - Dragana Vuckovic
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste 34100, Italy
| | - Juergen Wellmann
- Institute of Epidemiology and Social Medicine, University of Münster, Münster 48149, Germany
| | - Harm-Jan Westra
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA
- Partners Center for Personalized Genetic Medicine, Boston, Massachusetts 02115, USA
| | - Jingyun Yang
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois 60612, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois 60612, USA
| | - Wei Zhao
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Zhihong Zhu
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Behrooz Z Alizadeh
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, 9700 RB, The Netherlands
- Department of Gastroenterology and Hepatology, University of Groningen, University Medical Center Groningen, Groningen, 9713 GZ, The Netherlands
| | - Najaf Amin
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, 3015 GE, The Netherlands
| | - Andrew Bakshi
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Sebastian E Baumeister
- Institute for Community Medicine, University Medicine Greifswald, Greifswald 17475, Germany
- Institute of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg D-93053, Germany
| | - Ginevra Biino
- Institute of Molecular Genetics, National Research Council of Italy, Pavia 27100, Italy
| | - Klaus Bønnelykke
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen 2820, Denmark
| | - Patricia A Boyle
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois 60612, USA
- Department of Behavioral Sciences, Rush University Medical Center, Chicago, Illinois 60612, USA
| | - Harry Campbell
- Centre for Global Health Research, The Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh EH8 9AG, UK
| | | | - Gail Davies
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK
- Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | | | - Panos Deloukas
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK
- Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Ilja Demuth
- The Berlin Aging Study II; Research Group on Geriatrics, Charité - Universitätsmedizin Berlin, Germany, Berlin 13347, Germany
- Institute of Medical and Human Genetics, Charité-Universitätsmedizin, Berlin, Berlin 13353, Germany
| | - Jun Ding
- Laboratory of Genetics, National Institute on Aging, Baltimore, Maryland 21224, USA
| | - Peter Eibich
- German Socio- Economic Panel Study, DIW Berlin, Berlin 10117, Germany
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Lewin Eisele
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, Essen 45147, Germany
| | - Niina Eklund
- Department of Health, THL-National Institute for Health and Welfare, 00271 Helsinki, Finland
| | - David M Evans
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- The University of Queensland Diamantina Institute, The Translational Research Institute, Brisbane, QLD 4102, Australia
| | - Jessica D Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Mary F Feitosa
- Department of Genetics, Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri 63018, USA
| | - Andreas J Forstner
- Institute of Human Genetics, University of Bonn, Bonn 53127, Germany
- Department of Genomics, Life and Brain Center, University of Bonn, Bonn 53127, Germany
| | - Ilaria Gandin
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste 34100, Italy
| | | | - Bjarni V Halldórsson
- deCODE Genetics/Amgen Inc., Reykjavik 101, Iceland
- Institute of Biomedical and Neural Engineering, School of Science and Engineering, Reykjavik University, Reykjavik 101, Iceland
| | - Tamara B Harris
- Laboratory of Epidemiology, Demography, National Institute on Aging, National Institutes of Health, Bethesda, Maryland 20892-9205, USA
| | - Andrew C Heath
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri 63110, USA
| | - Lynne J Hocking
- Division of Applied Health Sciences, University of Aberdeen, Aberdeen AB25 2ZD, UK
| | - Elizabeth G Holliday
- Public Health Stream, Hunter Medical Research Institute, New Lambton, NSW 2305, Australia
- Faculty of Health and Medicine, University of Newcastle, Newcastle, NSW 2300, Australia
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald 17475, Germany
| | - Michael A Horan
- Manchester Medical School, The University of Manchester, Manchester M13 9PT, UK
| | - Jouke-Jan Hottenga
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, 1081 BT, The Netherlands
| | - Philip L de Jager
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
- Program in Translational NeuroPsychiatric Genomics, Departments of Neurology &Psychiatry, Brigham and Women's Hospital, Boston, Massachusetts 02115, USA
- Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Peter K Joshi
- Centre for Global Health Research, The Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh EH8 9AG, UK
| | - Astanand Jugessur
- Department of Genes and Environment, Norwegian Institute of Public Health, N-0403 Oslo, Norway
| | - Marika A Kaakinen
- Department of Genomics of Common Disease, Imperial College London, London, W12 0NN, UK
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, 33521 Tampere, Finland
- Department of Clinical Physiology, University of Tampere, School of Medicine, 33014 Tampere, Finland
| | - Stavroula Kanoni
- William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK
| | | | - Lambertus A L M Kiemeney
- Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, 6500 HB, The Netherlands
| | - Ivana Kolcic
- Public Health, Medical School, University of Split, 21000 Split, Croatia
| | - Seppo Koskinen
- Department of Health, THL-National Institute for Health and Welfare, 00271 Helsinki, Finland
| | - Aldi T Kraja
- Department of Genetics, Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri 63018, USA
| | - Martin Kroh
- German Socio- Economic Panel Study, DIW Berlin, Berlin 10117, Germany
| | - Zoltan Kutalik
- Department of Medical Genetics, University of Lausanne, Lausanne 1005, Switzerland
- Swiss Institute of Bioinformatics, Lausanne 1015, Switzerland
- Institute of Social and Preventive Medicine, Lausanne University Hospital (CHUV), Lausanne 1010, Switzerland
| | - Antti Latvala
- Department of Public Health, University of Helsinki, 00014 Helsinki, Finland
| | - Lenore J Launer
- Neuroepidemiology Section, National Institute on Aging, National Institutes of Health, Bethesda, Maryland 20892-9205, USA
| | - Maël P Lebreton
- Amsterdam Business School, University of Amsterdam, Amsterdam, 1018 TV, The Netherlands
- Amsterdam Brain and Cognition Center, University of Amsterdam, Amsterdam, 1018 XA, The Netherlands
| | - Douglas F Levinson
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California 94305-5797, USA
| | - Paul Lichtenstein
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 171 77, Sweden
| | - Peter Lichtner
- Institute of Human Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
| | - David C M Liewald
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK
- Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | | | - Anu Loukola
- Department of Public Health, University of Helsinki, 00014 Helsinki, Finland
| | - Pamela A Madden
- Department of Psychiatry, Washington University School of Medicine, St. Louis, Missouri 63110, USA
| | - Reedik Mägi
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
| | - Tomi Mäki-Opas
- Department of Health, THL-National Institute for Health and Welfare, 00271 Helsinki, Finland
| | - Riccardo E Marioni
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK
- Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Pedro Marques-Vidal
- Department of Internal Medicine, Internal Medicine, Lausanne University Hospital (CHUV), Lausanne 1011, Switzerland
| | | | - George McMahon
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
| | - Christa Meisinger
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
| | - Thomas Meitinger
- Institute of Human Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
| | - Yusplitri Milaneschi
- Psychiatry, VU University Medical Center &GGZ inGeest, Amsterdam, 1081 HL, The Netherlands
| | - Lili Milani
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
| | - Grant W Montgomery
- Molecular Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4029, Australia
| | - Ronny Myhre
- Department of Genes and Environment, Norwegian Institute of Public Health, N-0403 Oslo, Norway
| | - Christopher P Nelson
- Department of Cardiovascular Sciences, University of Leicester, Leicester LE3 9QP, UK
- NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester LE3 9QP, UK
| | - Dale R Nyholt
- Molecular Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4029, Australia
- Institute of Health and Biomedical Innovation, Queensland Institute of Technology, Brisbane, QLD 4059, Australia
| | - William E R Ollier
- Centre for Integrated Genomic Medical Research, Institute of Population Health, The University of Manchester, Manchester M13 9PT, UK
| | - Aarno Palotie
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
- Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
- The Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
- Psychiatric &Neurodevelopmental Genetics Unit, Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki 00014, Finland
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
| | - Lavinia Paternoster
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 171 77, Sweden
| | - Katja E Petrovic
- Department of Neurology, General Hospital and Medical University Graz, Graz 8036, Austria
| | - David J Porteous
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Katri Räikkönen
- Institute of Behavioural Sciences, University of Helsinki, 00014 Helsinki, Finland
- Folkhälsan Research Centre, 00014 Helsingfors, Finland
| | - Susan M Ring
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
| | - Antonietta Robino
- Medical Genetics, Institute for Maternal and Child Health IRCCS "Burlo Garofolo", Trieste 34100, Italy
| | - Olga Rostapshova
- Department of Economics, Harvard University, Cambridge, Massachusetts 02138, USA
- Social Impact, Arlington, Virginia 22201, USA
| | - Igor Rudan
- Centre for Global Health Research, The Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh EH8 9AG, UK
| | - Aldo Rustichini
- Department of Economics, University of Minnesota Twin Cities, Minneapolis, Minnesota 55455, USA
| | - Veikko Salomaa
- Department of Health, THL-National Institute for Health and Welfare, 00271 Helsinki, Finland
| | - Alan R Sanders
- Department of Psychiatry and Behavioral Sciences, NorthShore University HealthSystem, Evanston, Illinois 60201-3137, USA
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, Illinois 60637, USA
| | - Antti-Pekka Sarin
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki 00014, Finland
- Public Health Genomics Unit, National Institute for Health and Welfare, 00300 Helsinki, Finland
| | - Helena Schmidt
- Department of Neurology, General Hospital and Medical University Graz, Graz 8036, Austria
- Research Unit for Genetic Epidemiology, Institute of Molecular Biology and Biochemistry, Center of Molecular Medicine, General Hospital and Medical University, Graz, Graz 8010, Austria
| | - Rodney J Scott
- Faculty of Health and Medicine, University of Newcastle, Newcastle, NSW 2300, Australia
- Information Based Medicine Stream, Hunter Medical Research Institute, New Lambton, NSW 2305, Australia
| | - Blair H Smith
- Medical Research Institute, University of Dundee, Dundee DD1 9SY, UK
| | - Jennifer A Smith
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Jan A Staessen
- Research Unit Hypertension and Cardiovascular Epidemiology, Department of Cardiovascular Science, University of Leuven, Leuven 3000, Belgium
- R&D VitaK Group, Maastricht University, Maastricht, 6229 EV, The Netherlands
| | - Elisabeth Steinhagen-Thiessen
- The Berlin Aging Study II; Research Group on Geriatrics, Charité - Universitätsmedizin Berlin, Germany, Berlin 13347, Germany
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
- Institute of Medical Informatics, Biometry and Epidemiology, Chair of Genetic Epidemiology, Ludwig Maximilians-Universität, Munich 81377, Germany
| | - Antonio Terracciano
- Department of Geriatrics, Florida State University College of Medicine, Tallahassee, Florida 32306, USA
| | - Martin D Tobin
- Department of Health Sciences and Genetics, University of Leicester, Leicester LE1 7RH, UK
| | - Sheila Ulivi
- Medical Genetics, Institute for Maternal and Child Health IRCCS "Burlo Garofolo", Trieste 34100, Italy
| | - Simona Vaccargiu
- Istituto di Ricerca Genetica e Biomedica U.O.S. di Sassari, National Research Council of Italy, Sassari 07100, Italy
| | - Lydia Quaye
- Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK
| | - Frank J A van Rooij
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, 3015 GE, The Netherlands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, 3015 GE, The Netherlands
| | - Cristina Venturini
- Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK
- NIHR Biomedical Research Centre, Guy's and St. Thomas' Foundation Trust, London SE1 7EH, UK
| | - Anna A E Vinkhuyzen
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Uwe Völker
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald 17475, Germany
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald 17475, Germany
| | - Judith M Vonk
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, 9700 RB, The Netherlands
| | - Diego Vozzi
- Social Impact, Arlington, Virginia 22201, USA
| | - Johannes Waage
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen 2820, Denmark
- Steno Diabetes Center, Gentofte 2820, Denmark
| | - Erin B Ware
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan 48109, USA
- Research Center for Group Dynamics, Institute for Social Research, University of Michigan, Ann Arbor, Michigan 48104, USA
| | - Gonneke Willemsen
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, 1081 BT, The Netherlands
| | - John R Attia
- Public Health Stream, Hunter Medical Research Institute, New Lambton, NSW 2305, Australia
- Faculty of Health and Medicine, University of Newcastle, Newcastle, NSW 2300, Australia
| | - David A Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois 60612, USA
- Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois 60612, USA
| | - Klaus Berger
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, 9700 RB, The Netherlands
| | - Lars Bertram
- Platform for Genome Analytics, Institutes of Neurogenetics &Integrative and Experimental Genomics, University of Lübeck, Lübeck 23562, Germany
- Neuroepidemiology and Ageing Research Unit, School of Public Health, Faculty of Medicine, Imperial College of Science, Technology and Medicine, London SW7 2AZ, UK
| | - Hans Bisgaard
- COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen 2820, Denmark
| | - Dorret I Boomsma
- Department of Biological Psychology, VU University Amsterdam, Amsterdam, 1081 BT, The Netherlands
| | - Ingrid B Borecki
- Department of Genetics, Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri 63018, USA
| | - Ute Bültmann
- Department of Health Sciences, Community &Occupational Medicine, University of Groningen, University Medical Center Groningen, Groningen, 9713 AV, The Netherlands
| | | | - Francesco Cucca
- Istituto di Ricerca Genetica e Biomedica (IRGB), Consiglio Nazionale delle Ricerche, c/o Cittadella Universitaria di Monserrato, Monserrato, Cagliari 9042, Italy
| | - Daniele Cusi
- Department Of Health Sciences, University of Milan, Milano 20142, Italy
- Institute of Biomedical Technologies, Italian National Research Council, Segrate (Milano) 20090, Italy
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, UK
- Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - George V Dedoussis
- Nutrition and Dietetics, Health Science and Education, Harokopio University, Athens 17671, Greece
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, 3015 GE, The Netherlands
| | - Johan G Eriksson
- Folkhälsan Research Centre, 00014 Helsingfors, Finland
- Department of General Practice and Primary Health Care, University of Helsinki, 00014 Helsinki, Finland
| | - Barbara Franke
- Departments of Human Genetics and Psychiatry, Donders Centre for Neuroscience, Nijmegen, 6500 HB, The Netherlands
| | - Lude Franke
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, 9700 RB, The Netherlands
| | - Paolo Gasparini
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste 34100, Italy
- Medical Genetics, Institute for Maternal and Child Health IRCCS "Burlo Garofolo", Trieste 34100, Italy
- Sidra, Experimental Genetics Division, Sidra, Doha 26999, Qatar
| | - Pablo V Gejman
- Department of Psychiatry and Behavioral Sciences, NorthShore University HealthSystem, Evanston, Illinois 60201-3137, USA
- Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, Illinois 60637, USA
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
| | - Hans-Jörgen Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald 17475, Germany
- Department of Psychiatry and Psychotherapy, HELIOS-Hospital Stralsund, Stralsund 18437, Germany
| | - Jacob Gratten
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia
| | - Patrick J F Groenen
- Econometric Institute, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, 3062 PA, The Netherlands
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur 201, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik 101, Iceland
| | - Pim van der Harst
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Groningen, 9700 RB, The Netherlands
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, 9700 RB, The Netherlands
- Durrer Center for Cardiogenetic Research, ICIN-Netherlands Heart Institute, Utrecht, 1105 AZ, The Netherlands
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
- Generation Scotland, Centre for Genomics and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
| | | | - Wolfgang Hoffmann
- Institute for Community Medicine, University Medicine Greifswald, Greifswald 17475, Germany
| | - Elina Hyppönen
- Centre for Population Health Research, School of Health Sciences and Sansom Institute, University of South Australia, Adelaide, SA 5000, Australia
- South Australian Health and Medical Research Institute, Adelaide, SA 5000, Australia
- Population, Policy and Practice, UCL Institute of Child Health, London WC1N 1EH, UK
| | - William G Iacono
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, Minnesota 55455, USA
| | - Bo Jacobsson
- Department of Obstetrics and Gynecology, Institute of Clinical Sciences, Sahlgrenska Academy, Gothenburg 416 85, Sweden
- Department of Genes and Environment, Norwegian Institute of Public Health, N-0403 Oslo, Norway
| | - Marjo-Riitta Järvelin
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment &Health, School of Public Health, Imperial College London, London W2 1PG, UK
- Center for Life Course Epidemiology, Faculty of Medicine, University of Oulu, 90014 Oulu, Finland
- Unit of Primary Care, Oulu University Hospital, 90029 Oulu, Finland
- Biocenter Oulu, University of Oulu, 90014 Oulu, Finland
| | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, Essen 45147, Germany
| | - Jaakko Kaprio
- Department of Public Health, University of Helsinki, 00014 Helsinki, Finland
- Department of Health, THL-National Institute for Health and Welfare, 00271 Helsinki, Finland
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki 00014, Finland
| | - Sharon L R Kardia
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - Terho Lehtimäki
- Fimlab Laboratories, 33520 Tampere, Finland
- Department of Clinical Chemistry, University of Tampere, School of Medicine, 33014 Tampere, Finland
| | - Steven F Lehrer
- Economics, NYU Shanghai, 200122 Pudong, China
- Policy Studies, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 171 77, Sweden
| | - Nicholas G Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4029, Australia
| | - Matt McGue
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, Minnesota 55455, USA
| | - Andres Metspalu
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
- Institute of Molecular and Cell Biology, University of Tartu, Tartu 51010, Estonia
| | - Neil Pendleton
- Centre for Clinical and Cognitive Neuroscience, Institute Brain Behaviour and Mental Health, Salford Royal Hospital, Manchester M6 8HD, UK
- Manchester Institute for Collaborative Research in Ageing, University of Manchester, Manchester M13 9PL, UK
| | - Brenda W J H Penninx
- Psychiatry, VU University Medical Center &GGZ inGeest, Amsterdam, 1081 HL, The Netherlands
| | - Markus Perola
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
- Department of Health, THL-National Institute for Health and Welfare, 00271 Helsinki, Finland
| | - Nicola Pirastu
- Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste 34100, Italy
| | - Mario Pirastu
- Istituto di Ricerca Genetica e Biomedica U.O.S. di Sassari, National Research Council of Italy, Sassari 07100, Italy
| | - Ozren Polasek
- Centre for Global Health Research, The Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh EH8 9AG, UK
- Faculty of Medicine, University of Split, Split 21000, Croatia
| | - Danielle Posthuma
- Department of Complex Trait Genetics, VU University, Center for Neurogenomics and Cognitive Research, Amsterdam, 1081 HV, The Netherlands
- Department of Clinical Genetics, VU Medical Centre, Amsterdam, 1081 HV, The Netherlands
| | - Christine Power
- Population, Policy and Practice, UCL Institute of Child Health, London WC1N 1EH, UK
| | - Michael A Province
- Department of Genetics, Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri 63018, USA
| | - Nilesh J Samani
- Department of Cardiovascular Sciences, University of Leicester, Leicester LE3 9QP, UK
- NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester LE3 9QP, UK
| | - David Schlessinger
- Laboratory of Genetics, National Institute on Aging, Baltimore, Maryland 21224, USA
| | - Reinhold Schmidt
- Department of Neurology, General Hospital and Medical University Graz, Graz 8036, Austria
| | - Thorkild I A Sørensen
- The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, University of Copenhagen, Faculty of Health and Medical Sciences, Copenhagen 2100, Denmark
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
- Institute of Preventive Medicine. Bispebjerg and Frederiksberg Hospitals, The Capital Region, Frederiksberg 2000, Denmark
| | - Tim D Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK
| | - Kari Stefansson
- deCODE Genetics/Amgen Inc., Reykjavik 101, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik 101, Iceland
| | - Unnur Thorsteinsdottir
- deCODE Genetics/Amgen Inc., Reykjavik 101, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik 101, Iceland
| | - A Roy Thurik
- Department of Applied Economics, Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, 3062 PA, The Netherlands
- Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, 3062 PA, The Netherlands
- Montpellier Business School, Montpellier 34080, France
- Panteia, Zoetermeer, 2715 CA, The Netherlands
| | - Nicholas J Timpson
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
| | - Henning Tiemeier
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, 3015 GE, The Netherlands
- Department of Psychiatry, Erasmus Medical Center, Rotterdam, 3015 GE, The Netherlands
- Department of Child and Adolescent Psychiatry, Erasmus Medical Center, Rotterdam, 3015 GE, The Netherlands
| | - Joyce Y Tung
- 23andMe, Inc., Mountain View, California 94041, USA
| | - André G Uitterlinden
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, 3015 GE, The Netherlands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, 3015 GE, The Netherlands
| | - Veronique Vitart
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Peter Vollenweider
- Department of Internal Medicine, Internal Medicine, Lausanne University Hospital (CHUV), Lausanne 1011, Switzerland
| | - David R Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, Michigan 48109, USA
| | - James F Wilson
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
- Centre for Global Health Research, The Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh EH8 9AG, UK
| | - Alan F Wright
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Dalton C Conley
- Department of Sociology, New York University, New York, New York 10012, USA
- School of Medicine, New York University, New York, New York 10016, USA
| | - Robert F Krueger
- Department of Psychology, University of Minnesota Twin Cities, Minneapolis, Minnesota 55455, USA
| | - George Davey Smith
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK
| | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, 3015 GE, The Netherlands
| | - David I Laibson
- Department of Economics, Harvard University, Cambridge, Massachusetts 02138, USA
| | - Sarah E Medland
- Quantitative Genetics, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4029, Australia
| | - Michelle N Meyer
- Bioethics Program, Union Graduate College - Icahn School of Medicine at Mount Sinai, Schenectady, New York 12308, USA
| | - Jian Yang
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia
- The University of Queensland Diamantina Institute, The Translational Research Institute, Brisbane, QLD 4102, Australia
| | - Magnus Johannesson
- Department of Economics, Stockholm School of Economics, Stockholm 113 83, Sweden
| | - Peter M Visscher
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia
- The University of Queensland Diamantina Institute, The Translational Research Institute, Brisbane, QLD 4102, Australia
| | - Tõnu Esko
- Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, Massachusetts 2116, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
- Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Philipp D Koellinger
- Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam, 3062 PA, The Netherlands
- Department of Complex Trait Genetics, VU University, Center for Neurogenomics and Cognitive Research, Amsterdam, 1081 HV, The Netherlands
- Amsterdam Business School, University of Amsterdam, Amsterdam, 1018 TV, The Netherlands
| | - David Cesarini
- Department of Economics, New York University, New York, New York 10012, USA
- Research Institute for Industrial Economics, Stockholm 10215, Sweden
| | - Daniel J Benjamin
- Center for Economic and Social Research, University of Southern California, Los Angeles, California 90089-3332, USA
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Hülür G, Drewelies J, Eibich P, Düzel S, Demuth I, Ghisletta P, Steinhagen-Thiessen E, Wagner GG, Lindenberger U, Gerstorf D. Cohort Differences in Psychosocial Function over 20 Years: Current Older Adults Feel Less Lonely and Less Dependent on External Circumstances. Gerontology 2016; 62:354-61. [PMID: 26820135 DOI: 10.1159/000438991] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2015] [Accepted: 07/27/2015] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Lifespan psychological and life course sociological perspectives indicate that individual development is shaped by social and historical circumstances. Increases in fluid cognitive performance over the last century are well documented and researchers have begun examining historical trends in personality and subjective well-being in old age. Relatively less is known about secular changes in other key components of psychosocial function among older adults. OBJECTIVE In the present study, we examined cohort differences in key components of psychosocial function, including subjective age, control beliefs, and perceived social integration, as indicated by loneliness and availability of very close others. METHODS We compared data obtained 20 years apart in the Berlin Aging Study (in 1990-1993) and the Berlin Aging Study II (in 2013-2014) and identified case-matched cohort groups based on age, gender, cohort-normed education, and marital or partner status (n = 153 in each cohort, mean age = 75 years). In follow-up analyses, we controlled for having lived in former East versus West Germany, physical diseases, cohort-normed household income, cognitive performance, and the presence of a religious affiliation. RESULTS Consistently across analyses, we found that, relative to the earlier-born BASE cohort (year of birth: mean = 1916; SD = 3.38 years; range = 1901-1922), participants in the BASE-II sample (year of birth: mean = 1939; SD = 3.22 years; range = 1925-1949) reported lower levels of external control beliefs (d = -1.01) and loneliness (d = -0.63). Cohorts did not differ in subjective age, availability of very close others, and internal control beliefs. CONCLUSION Taken together, our findings suggest that some aspects of psychosocial function of older adults have improved across the two recent decades. We discuss the possible role of sociocultural factors that might have led to the observed set of cohort differences.
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Affiliation(s)
- Gizem Hülür
- Institute of Psychology, Humboldt University, Berlin, Germany
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Eibich P, Krekel C, Demuth I, Wagner GG. Associations between Neighborhood Characteristics, Well-Being and Health Vary over the Life Course. Gerontology 2016; 62:362-70. [DOI: 10.1159/000438700] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2015] [Accepted: 07/14/2015] [Indexed: 11/19/2022] Open
Abstract
Background: Neighborhood characteristics are important determinants of individual health and well-being. For example, characteristics such as noise and pollution affect health directly, while other characteristics affect health and well-being by either providing resources (e.g. social capital in the neighborhood), which individuals can use to cope with health problems, or limiting the use thereof (e.g. crime). This also suggests that there might be age differentials in the impact of these characteristics, since individuals at different stages of life might need different resources. However, there is a lack of empirical evidence on age differentials in associations between well-being, health, and neighborhood characteristics. Objective: This paper studies associations between a wide range of neighborhood characteristics with the health and well-being of residents of the greater Berlin area. In particular, we focus on differences in the effects between younger (aged 20-35) and older (aged 60+) residents. Methods: We used data from the Berlin Aging Study II (312 younger and 993 older residents of the Berlin metropolitan area in Germany). We used survey data on health and well-being, combined these with subjective perceptions of the neighborhood, and geo-referenced indicators on the neighborhood, e.g. amenities (public transport, physicians, and hospitals). Results: The results show that access to public transportation is associated with better outcomes on all measures of health and well-being, and social support is associated with higher life satisfaction and better mental health. There are considerable differences between both age groups: while the associations between access to public transport and health and well-being are similar for both age groups, neighborhood social capital shows stronger associations for older residents. However, the difference is not always statistically significant. Conclusion: Having access to services is associated with better health and well-being regardless of age. Local policy makers should focus on lowering barriers to mobility in order to improve the health and well-being of the population. Since the social capital of a neighborhood is associated with better health and well-being among older residents, investments that increase social capital (e.g. community centers) might be warranted in neighborhoods with higher shares of older residents.
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Eibich P, Buchmann N, Kroh M, Wagner GG, Steinhagen-Thiessen E, Demuth I, Norman K. Exercise at Different Ages and Appendicular Lean Mass and Strength in Later Life: Results From the Berlin Aging Study II. J Gerontol A Biol Sci Med Sci 2015; 71:515-20. [DOI: 10.1093/gerona/glv171] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2015] [Accepted: 09/09/2015] [Indexed: 11/15/2022] Open
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Eibich P. Understanding the effect of retirement on health: Mechanisms and heterogeneity. J Health Econ 2015; 43:1-12. [PMID: 26079117 DOI: 10.1016/j.jhealeco.2015.05.001] [Citation(s) in RCA: 144] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2014] [Revised: 02/05/2015] [Accepted: 05/22/2015] [Indexed: 06/04/2023]
Abstract
This paper investigates the mechanisms behind the health effects of retirement. Using a Regression Discontinuity Design to exploit financial incentives in the German pension system for identification, I find that retirement improves subjective health status and mental health, while also reducing outpatient care utilization. I explore a wide range of health behaviors, time use, and effect heterogeneity as potential mechanisms. Relief from work-related stress and strain, increased sleep duration as well as more frequent physical exercise seem to be key mechanisms through which retirement affects health.
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Affiliation(s)
- Peter Eibich
- DIW Berlin, Mohrenstrasse 58, 10117 Berlin, Germany; Health Economics Research Centre, Nuffield Department for Population Health, University of Oxford, UK; University of Hamburg, Germany.
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Gerstorf D, Hülür G, Drewelies J, Eibich P, Duezel S, Demuth I, Ghisletta P, Steinhagen-Thiessen E, Wagner GG, Lindenberger U. Secular changes in late-life cognition and well-being: Towards a long bright future with a short brisk ending? Psychol Aging 2015; 30:301-10. [PMID: 25799003 DOI: 10.1037/pag0000016] [Citation(s) in RCA: 69] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
How sociocultural contexts shape individual functioning is of prime interest for psychological inquiry. Secular increases favoring later-born cohorts in fluid intelligence measures are widely documented for young adults. In the current study, we quantified such trends in old age using data from highly comparable participants living in a narrowly defined geographical area and examined whether these trends would generalize to quality-of-life indicators. To do so, we compared data obtained 20 years apart in the Berlin Aging Study (in 1990-1993) and the Berlin Aging Study II (in 2013-2014), applied a case-matched control design (per cohort, n = 161, Mage = 75), quantified sample selection using a nationally representative sample as the reference, and controlled for number of physical diseases. The later cohort performed better on the fluid intelligence measure (d = .85) and reported higher morale, less negative affect, and more positive affect (ds > .39) than the earlier cohort. We concluded that secular advances have resulted in better cognitive performance and perceived quality of life among older adults and discuss when and how advantages of later cohorts reach their limits.
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Affiliation(s)
| | - Gizem Hülür
- Institute of Psychology, Humboldt University
| | | | - Peter Eibich
- Socio-Economic Panel (SOEP), German Institute for Economic Research
| | - Sandra Duezel
- Center for Lifespan Psychology, Max Planck Institute for Human Development
| | - Ilja Demuth
- Research Group on Geriatrics, Charité - Universitätsmedizin Berlin
| | - Paolo Ghisletta
- Faculty of Psychology and Educational Sciences, University of Geneva
| | | | | | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development
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Eibich P, Ziebarth NR. Analyzing regional variation in health care utilization using (rich) household microdata. Health Policy 2013; 114:41-53. [PMID: 23706385 DOI: 10.1016/j.healthpol.2013.04.015] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [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: 06/29/2012] [Revised: 02/18/2013] [Accepted: 04/19/2013] [Indexed: 01/08/2023]
Abstract
This paper exploits rich SOEP microdata to analyze state-level variation in health care utilization in Germany. Unlike most studies in the field of the Small Area Variation (SAV) literature, our approach allows us to net out a large array of individual-level and state-level factors that may contribute to the geographic variation in health care utilization. The raw data suggest that state-level hospitalization rates vary from 65 to 165 percent of the national mean. Ambulatory doctor visits range from 90 to 120 percent of the national mean. Interestingly, in the former GDR states, doctor visit rates are significantly below the national mean, while hospitalization rates lie above the national mean. The significant state-level differences vanish once we control for individual-level socio-economic characteristics, the respondents' health status, their health behavior as well as supply-side state-level factors.
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Affiliation(s)
- Peter Eibich
- DIW Berlin, Mohrenstrasse 58, 10117 Berlin, Germany; University of Hamburg, Germany.
| | - Nicolas R Ziebarth
- Cornell University, Policy Analysis and Management (PAM), 106 Martha van Rensselaer Hall, Ithaca, NY 14853, United States; DIW Berlin, Germany; IZA Bonn, Germany.
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