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Yuan S, Li W, Ling Y, Huang X, Feng A, Tan S, He N, Li L, Li S, Xu A, Lyu J. Associations of screen-based sedentary activities with all cause dementia, Alzheimer's disease, vascular dementia: a longitudinal study based on 462,524 participants from the UK Biobank. BMC Public Health 2023; 23:2141. [PMID: 37919716 PMCID: PMC10621115 DOI: 10.1186/s12889-023-17050-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 10/23/2023] [Indexed: 11/04/2023] Open
Abstract
BACKGROUND Current drug treatments for dementia aren't effective. Studying gene-environment interactions can help develop personalized early intervention strategies for Alzheimer's disease (AD). However, no studies have examined the relationship between screen-based sedentary activities and genetic susceptibility to AD risk, and further understanding of the causal relationship is also crucial. METHODS This study included 462,524 participants from the UK Biobank with a follow-up of 13.6 years. Participants' screen-based sedentary activities time was categorized into three groups based on recorded time: ≥ 4 h/day, 2-3 h/day, and ≤ 1 h/day. Cox proportional risk models were used to analyze the association between computer use/TV viewing groups and the risk of all-cause dementia, AD and vascular dementia (VD). Generalized linear model (GLM) were used to examine the relationship between screen-based sedentary activities and brain structure. Bidirectional Mendelian randomization (MR) was used to validate the causal relationship between TV viewing and AD. RESULTS Compared to TV viewing ≤ 1 h/day, 1)TV viewing 2-3 h/day was correlated with a higher risk of all-cause dementia (HR = 1.09, 95% CI:1.01-1.18, P < 0.05), and TV viewing ≥ 4 h/day was associated with a higher risk of all-cause dementia (HR = 1.29, 95% CI: 1.19-1.40, P < 0.001), AD (HR = 1.25, 95% CI:1.1-1.42, P < 0.001), and VD (HR = 1.24, 95% CI: 1.04-1.49, P < 0.05); 2) TV viewing ≥ 4 h/day was correlated with a higher AD risk at intermediate (HR = 1.34, 95% CI: 1.03-1.75, P < 0.001) and high AD genetic risk score (AD-GRS) (HR = 2.18, 95% CI: 1.65-2.87, P < 0.001);3) TV viewing 2-3 h/day [β = (-94.8), 95% CI: (-37.9) -(-151.7), P < 0.01] and TV viewing ≥ 4 h/day [β = (-92.94), 95% CI: (-17.42) -(-168.46), P < 0.05] were correlated with a less hippocampus volume. In addition, a causal effect of TV viewing times was observed on AD analyzed using MR Egger (OR = 5.618, 95%CI:1.502-21.013, P < 0.05). CONCLUSIONS There was a causal effect between TV viewing time and AD analyzed using bidirectional MR, and more TV viewing time exposure was correlated with a higher AD risk. Therefore, it is recommended that people with intermediate and high AD-GRS should control their TV viewing time to be less than 4 h/ day or even less than 1 h/day.
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Affiliation(s)
- Shiqi Yuan
- Department of Neurology, Guangdong Province, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, China
| | - Wanyue Li
- Department of Rehabilitation, Guangdong Province, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, China
| | - Yitong Ling
- Department of Neurology, Guangdong Province, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, China
| | - Xiaxuan Huang
- Department of Neurology, Guangdong Province, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, China
| | - Aozi Feng
- Department of Clinical Research, Guangdong Province, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, China
| | - Shanyuan Tan
- Department of Neurology, Guangdong Province, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, China
| | - Ningxia He
- Department of Clinical Research, Guangdong Province, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, China
| | - Li Li
- Department of Clinical Research, Guangdong Province, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, China
| | - Shuna Li
- Department of Clinical Research, Guangdong Province, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, China
| | - Anding Xu
- Department of Neurology, Guangdong Province, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, China.
| | - Jun Lyu
- Department of Clinical Research, Guangdong Province, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, China.
- Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Guangzhou, 510630, Guangdong, China.
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Body mass index, genetic susceptibility, and Alzheimer's disease: a longitudinal study based on 475,813 participants from the UK Biobank. J Transl Med 2022; 20:417. [PMID: 36085169 PMCID: PMC9463868 DOI: 10.1186/s12967-022-03621-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 09/01/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The association between body mass index (BMI) and Alzheimer's disease (AD) remains controversial. Genetic and environmental factors are now considered contributors to AD risk. However, little is known about the potential interaction between genetic risk and BMI on AD risk. OBJECTIVE To study the causal relationship between BMI and AD, and the potential interaction between AD genetic risk and BMI on AD risk. METHODS AND RESULTS Using the UK Biobank database, 475,813 participants were selected for an average follow-up time of more than 10 years. MAIN FINDINGS 1) there was a nonlinear relationship between BMI and AD risk in participants aged 60 years or older (p for non-linear < 0.001), but not in participants aged 37-59 years (p for non-linear = 0.717) using restricted cubic splines; 2) for participants aged 60 years and older, compared with the BMI (23-30 kg/m2) group, the BMI (< 23 kg/m2) group was associated with a higher AD risk (HR = 1.585; 95% CI 1.304-1.928, p < 0.001) and the BMI (> 30 kg/m2) group was associated with a lower AD risk (HR = 0.741; 95% CI 0.618-0.888, p < 0.01) analyzed using the Cox proportional risk model; 3) participants with a combination of high AD genetic risk score (AD-GRS) and BMI (< 23 kg/m2) were associated with the highest AD risk (HR = 3.034; 95% CI 2.057-4.477, p < 0.001). In addition, compared with the BMI (< 23 kg/m2), the higher BMI was associated with a lower risk of AD in participants with the same intermediate or high AD-GRS; 4) there was a reverse causality between BMI and AD when analyzed using bidirectional Mendelian randomization (MR). CONCLUSION There was a reverse causality between BMI and AD analyzed using MR. For participants aged 60 years and older, the higher BMI was associated with a lower risk of AD in participants with the same intermediate or high AD genetic risk. BMI (23-30 kg/m2) may be a potential intervention for AD.
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Yuan S, Ma W, Yang R, Xu F, Han D, Huang T, Peng MI, Xu A, Lyu J. Sleep duration, genetic susceptibility, and Alzheimer's disease: a longitudinal UK Biobank-based study. BMC Geriatr 2022; 22:638. [PMID: 35918656 PMCID: PMC9344659 DOI: 10.1186/s12877-022-03298-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Accepted: 07/14/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Alzheimer's disease (AD) is the most frequently occurring type of dementia. Concurrently, inadequate sleep has been recognized as a public health epidemic. Notably, genetic and environmental factors are now considered contributors to AD progression. OBJECTIVE To assess the association between sleep duration, genetic susceptibility, and AD. METHODS AND RESULTS Based on 483,507 participants from the UK Biobank (UKB) with an average follow-up of 11.3 years, there was a non-linear relationship between AD incidence and sleep duration (P for non-linear < 0.001) by restricted cubic splines (RCS). Sleep duration was categorized into short sleep duration (< 6 h/night), normal sleep duration (6-9 h/night), and long sleep duration (> 9 h/night). No statistically significant interaction was identified between sleep duration and the AD-GRS (Alzheimer's disease genetic risk score, P for interaction = 0.45) using Cox proportional risk model. Compared with the participants who had a low AD-GRS and normal sleep duration, there was associated with a higher risk of AD in participants with a low AD-GRS and long sleep duration (HR = 3.4806; 95% CI 2.0011-6.054, p < 0.001), participants with an intermediate AD-GRS and long sleep duration (HR = 2.0485; 95% CI 1.3491-3.1105, p < 0.001), participants with a high AD-GRS and normal sleep duration (HR = 1.9272; 95% CI 1.5361-2.4176, p < 0.001), and participants with a high AD-GRS and long sleep duration (HR = 5.4548; 95% CI 3.1367-9.4863, p < 0.001).In addition, there was no causal association between AD and sleep duration using Two Sample Mendelian randomization (MR). CONCLUSION In the UKB population, though there was no causal association between AD and sleep duration analyzed using Two Sample MR, long sleep duration (> 9 h/night) was significantly associated with a higher risk of AD, regardless of high, intermediate or low AD-GRS. Prolonged sleep duration may be one of the clinical predictors of a higher risk of AD.
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Affiliation(s)
- Shiqi Yuan
- Department of Neurology, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, Guangdong Province, China
| | - Wen Ma
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'An, 710061, Shaanxi Province, China
| | - Rui Yang
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'An, 710061, Shaanxi Province, China
| | - Fengshuo Xu
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'An, 710061, Shaanxi Province, China
| | - Didi Han
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'An, 710061, Shaanxi Province, China
| | - Tao Huang
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, Guangdong Province, China
| | - MIn Peng
- Department of Neurology, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, Guangdong Province, China
| | - Anding Xu
- Department of Neurology, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, Guangdong Province, China
| | - Jun Lyu
- Department of Clinical Research, The First Affiliated Hospital of Jinan University, No.613, Huangpu Road West, Guangzhou, 510630, Guangdong Province, China.
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Mazumder AH, Barnett J, Isometsä ET, Lindberg N, Torniainen-Holm M, Lähteenvuo M, Lahdensuo K, Kerkelä M, Ahola-Olli A, Hietala J, Kampman O, Kieseppä T, Jukuri T, Häkkinen K, Cederlöf E, Haaki W, Kajanne R, Wegelius A, Männynsalo T, Niemi-Pynttäri J, Suokas K, Lönnqvist J, Tiihonen J, Paunio T, Vainio SJ, Palotie A, Niemelä S, Suvisaari J, Veijola J. Reaction Time and Visual Memory in Connection to Hazardous Drinking Polygenic Scores in Schizophrenia, Schizoaffective Disorder and Bipolar Disorder. Brain Sci 2021; 11:brainsci11111422. [PMID: 34827421 PMCID: PMC8615595 DOI: 10.3390/brainsci11111422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 10/25/2021] [Accepted: 10/26/2021] [Indexed: 11/29/2022] Open
Abstract
The purpose of this study was to explore the association of cognition with hazardous drinking Polygenic Scores (PGS) in 2649 schizophrenia, 558 schizoaffective disorder, and 1125 bipolar disorder patients in Finland. Hazardous drinking PGS was computed using the LDPred program. Participants performed two computerized tasks from the Cambridge Automated Neuropsychological Test Battery (CANTAB) on a tablet computer: the 5-choice serial reaction time task, or Reaction Time (RT) test, and the Paired Associative Learning (PAL) test. The association between hazardous drinking PGS and cognition was measured using four cognition variables. Log-linear regression was used in Reaction Time (RT) assessment, and logistic regression was used in PAL assessment. All analyses were conducted separately for males and females. After adjustment of age, age of onset, education, household pattern, and depressive symptoms, hazardous drinking PGS was not associated with reaction time or visual memory in male or female patients with schizophrenia, schizoaffective, and bipolar disorder.
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Affiliation(s)
- Atiqul Haq Mazumder
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, 90014 Oulu, Finland; (M.K.); (T.J.); (J.V.)
- Correspondence:
| | - Jennifer Barnett
- Cambridge Cognition, University of Cambridge, Cambridge CB25 9TU, UK;
| | - Erkki Tapio Isometsä
- Department of Psychiatry, University Hospital and University of Helsinki, 00029 Helsinki, Finland; (E.T.I.); (N.L.); (T.K.); (A.W.); (T.P.)
| | - Nina Lindberg
- Department of Psychiatry, University Hospital and University of Helsinki, 00029 Helsinki, Finland; (E.T.I.); (N.L.); (T.K.); (A.W.); (T.P.)
| | - Minna Torniainen-Holm
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.L.); (J.S.)
| | - Markku Lähteenvuo
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, 70240 Kuopio, Finland; (M.L.); (K.H.); (J.T.)
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Kaisla Lahdensuo
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Mehiläinen, Pohjoinen Hesperiankatu 17 C, 00260 Helsinki, Finland
| | - Martta Kerkelä
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, 90014 Oulu, Finland; (M.K.); (T.J.); (J.V.)
| | - Ari Ahola-Olli
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Jarmo Hietala
- Department of Psychiatry, University of Turku, 20014 Turku, Finland; (J.H.); (S.N.)
- Department of Psychiatry, Turku University Hospital, 20521 Turku, Finland
| | - Olli Kampman
- Faculty of Medicine and Health Technology, Tampere University, 33014 Tampere, Finland;
- Department of Psychiatry, Pirkanmaa Hospital District, 33521 Tampere, Finland
| | - Tuula Kieseppä
- Department of Psychiatry, University Hospital and University of Helsinki, 00029 Helsinki, Finland; (E.T.I.); (N.L.); (T.K.); (A.W.); (T.P.)
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Mehiläinen, Pohjoinen Hesperiankatu 17 C, 00260 Helsinki, Finland
| | - Tuomas Jukuri
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, 90014 Oulu, Finland; (M.K.); (T.J.); (J.V.)
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Katja Häkkinen
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, 70240 Kuopio, Finland; (M.L.); (K.H.); (J.T.)
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Erik Cederlöf
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.L.); (J.S.)
| | - Willehard Haaki
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Department of Psychiatry, University of Turku, 20014 Turku, Finland; (J.H.); (S.N.)
| | - Risto Kajanne
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Asko Wegelius
- Department of Psychiatry, University Hospital and University of Helsinki, 00029 Helsinki, Finland; (E.T.I.); (N.L.); (T.K.); (A.W.); (T.P.)
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.L.); (J.S.)
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Teemu Männynsalo
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Social Services and Health Care Sector, City of Helsinki, 00099 Helsinki, Finland
| | - Jussi Niemi-Pynttäri
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Social Services and Health Care Sector, City of Helsinki, 00099 Helsinki, Finland
| | - Kimmo Suokas
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Faculty of Medicine and Health Technology, Tampere University, 33014 Tampere, Finland;
| | - Jouko Lönnqvist
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.L.); (J.S.)
- Department of Psychiatry, University of Helsinki, 00014 Helsinki, Finland
| | - Jari Tiihonen
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, 70240 Kuopio, Finland; (M.L.); (K.H.); (J.T.)
- Department of Clinical Neuroscience, Karolinska Institute, 17177 Stockholm, Sweden
- Center for Psychiatry Research, Stockholm City Council, 11364 Stockholm, Sweden
| | - Tiina Paunio
- Department of Psychiatry, University Hospital and University of Helsinki, 00029 Helsinki, Finland; (E.T.I.); (N.L.); (T.K.); (A.W.); (T.P.)
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.L.); (J.S.)
- Department of Psychiatry, University of Helsinki, 00014 Helsinki, Finland
| | - Seppo Juhani Vainio
- Infotech Oulu, University of Oulu, 90014 Oulu, Finland;
- Northern Finland Biobank Borealis, Oulu University Hospital, 90220 Oulu, Finland
- Faculty of Biochemistry and Molecular Medicine, University of Oulu, 90014 Oulu, Finland
- Kvantum Institute, University of Oulu, 90014 Oulu, Finland
| | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (A.A.-O.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Mehiläinen, Pohjoinen Hesperiankatu 17 C, 00260 Helsinki, Finland
- Stanley Center for Psychiatric Research, The Broad Institute of MIT (Massachusetts Institute of Technology) and Harvard, Cambridge, MA 02142, USA
- Analytical and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Solja Niemelä
- Department of Psychiatry, University of Turku, 20014 Turku, Finland; (J.H.); (S.N.)
- Department of Psychiatry, Turku University Hospital, 20521 Turku, Finland
| | - Jaana Suvisaari
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.L.); (J.S.)
| | - Juha Veijola
- Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, 90014 Oulu, Finland; (M.K.); (T.J.); (J.V.)
- Department of Psychiatry, Oulu University Hospital, 90220 Oulu, Finland
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Treur JL, Munafò MR, Logtenberg E, Wiers RW, Verweij KJH. Using Mendelian randomization analysis to better understand the relationship between mental health and substance use: a systematic review. Psychol Med 2021; 51:1593-1624. [PMID: 34030749 PMCID: PMC8327626 DOI: 10.1017/s003329172100180x] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 04/17/2021] [Accepted: 04/21/2021] [Indexed: 12/18/2022]
Abstract
BACKGROUND Poor mental health has consistently been associated with substance use (smoking, alcohol drinking, cannabis use, and consumption of caffeinated drinks). To properly inform public health policy it is crucial to understand the mechanisms underlying these associations, and most importantly, whether or not they are causal. METHODS In this pre-registered systematic review, we assessed the evidence for causal relationships between mental health and substance use from Mendelian randomization (MR) studies, following PRISMA. We rated the quality of included studies using a scoring system that incorporates important indices of quality, such as the quality of phenotype measurement, instrument strength, and use of sensitivity methods. RESULTS Sixty-three studies were included for qualitative synthesis. The final quality rating was '-' for 16 studies, '- +' for 37 studies, and '+'for 10 studies. There was robust evidence that higher educational attainment decreases smoking and that there is a bi-directional, increasing relationship between smoking and (symptoms of) mental disorders. Another robust finding was that higher educational attainment increases alcohol use frequency, but decreases binge-drinking and alcohol use problems, and that mental disorders causally lead to more alcohol drinking without evidence for the reverse. CONCLUSIONS The current MR literature increases our understanding of the relationship between mental health and substance use. Bi-directional causal relationships are indicated, especially for smoking, providing further incentive to strengthen public health efforts to decrease substance use. Future MR studies should make use of large(r) samples in combination with detailed phenotypes, a wide range of sensitivity methods, and triangulate with other research methods.
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Affiliation(s)
- Jorien L. Treur
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
- Addiction Development and Psychopathology (ADAPT) Lab, Department of Psychology, University of Amsterdam, Amsterdam, the Netherlands
| | - Marcus R. Munafò
- School of Psychological Science, University of Bristol, Bristol, UK
- MRC Integrative Epidemiology Unit, the University of Bristol, Bristol, UK
| | - Emma Logtenberg
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Reinout W. Wiers
- Addiction Development and Psychopathology (ADAPT) Lab, Department of Psychology, University of Amsterdam, Amsterdam, the Netherlands
- Center for Urban Mental Health, University of Amsterdam, Amsterdam, the Netherlands
| | - Karin J. H. Verweij
- Department of Psychiatry, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
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Mazumder AH, Barnett J, Lindberg N, Torniainen-Holm M, Lähteenvuo M, Lahdensuo K, Kerkelä M, Hietala J, Isometsä ET, Kampman O, Kieseppä T, Jukuri T, Häkkinen K, Cederlöf E, Haaki W, Kajanne R, Wegelius A, Männynsalo T, Niemi-Pynttäri J, Suokas K, Lönnqvist J, Niemelä S, Tiihonen J, Paunio T, Palotie A, Suvisaari J, Veijola J. Reaction Time and Visual Memory in Connection with Alcohol Use in Schizophrenia and Schizoaffective Disorder. Brain Sci 2021; 11:brainsci11060688. [PMID: 34071123 PMCID: PMC8224767 DOI: 10.3390/brainsci11060688] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Revised: 05/17/2021] [Accepted: 05/21/2021] [Indexed: 11/16/2022] Open
Abstract
The purpose of this study was to explore the association between cognition and hazardous drinking and alcohol use disorder in schizophrenia and schizoaffective disorder. Cognition is more or less compromised in schizophrenia, and schizoaffective disorder and alcohol use might aggravate this phenomenon. The study population included 3362 individuals from Finland with diagnoses of schizophrenia or schizoaffective disorder. Hazardous drinking was screened with the AUDIT-C (Alcohol Use Disorders Identification Test for Consumption) screening tool. Alcohol use disorder (AUD) diagnoses were obtained from national registrar data. Participants performed two computerized tasks from the Cambridge Automated Neuropsychological Test Battery (CANTAB) on a tablet computer: The Five-Choice Serial Reaction Time Task (5-CSRTT) or the reaction time (RT) test and the Paired Associative Learning (PAL) test. The association between alcohol use and the RT and PAL tests was analyzed with log-linear regression and logistic regression, respectively. After adjustment for age, education, housing status, and the age at which the respondents had their first psychotic episodes, hazardous drinking was associated with a lower median RT in females and less variable RT in males, while AUD was associated with a poorer PAL test performance in terms of the total errors adjusted scores (TEASs) in females. Our findings of positive associations between alcohol and cognition in schizophrenia and schizoaffective disorder are unique.
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Affiliation(s)
- Atiqul Haq Mazumder
- Department of Psychiatry, University of Oulu, 90014 Oulu, Finland; (M.K.); (T.J.); (J.V.)
- Correspondence: or
| | - Jennifer Barnett
- Cambridge Cognition, University of Cambridge, Cambridge CB25 9TU, UK;
| | - Nina Lindberg
- Department of Psychiatry, Helsinki University Hospital, University of Helsinki, 00029 Helsinki, Finland; (N.L.); (E.I.); (T.K.); (A.W.); (T.P.)
| | - Minna Torniainen-Holm
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.L.); (J.S.)
| | - Markku Lähteenvuo
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, 70240 Kuopio, Finland; (M.L.); (K.H.); (J.T.)
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Kaisla Lahdensuo
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Mehiläinen, Pohjoinen Hesperiankatu 17 C, 00260 Helsinki, Finland
| | - Martta Kerkelä
- Department of Psychiatry, University of Oulu, 90014 Oulu, Finland; (M.K.); (T.J.); (J.V.)
| | - Jarmo Hietala
- Department of Psychiatry, University of Turku, 20014 Turku, Finland; (J.H.); (S.N.)
- Department of Psychiatry, Turku University Hospital, 20521 Turku, Finland
| | - Erkki Tapio Isometsä
- Department of Psychiatry, Helsinki University Hospital, University of Helsinki, 00029 Helsinki, Finland; (N.L.); (E.I.); (T.K.); (A.W.); (T.P.)
| | - Olli Kampman
- Faculty of Medicine and Health Technology, Tampere University, 33014 Tampere, Finland;
- Department of Psychiatry, Pirkanmaa Hospital District, 33521 Tampere, Finland
| | - Tuula Kieseppä
- Department of Psychiatry, Helsinki University Hospital, University of Helsinki, 00029 Helsinki, Finland; (N.L.); (E.I.); (T.K.); (A.W.); (T.P.)
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Mehiläinen, Pohjoinen Hesperiankatu 17 C, 00260 Helsinki, Finland
| | - Tuomas Jukuri
- Department of Psychiatry, University of Oulu, 90014 Oulu, Finland; (M.K.); (T.J.); (J.V.)
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Katja Häkkinen
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, 70240 Kuopio, Finland; (M.L.); (K.H.); (J.T.)
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Erik Cederlöf
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.L.); (J.S.)
| | - Willehard Haaki
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Department of Psychiatry, University of Turku, 20014 Turku, Finland; (J.H.); (S.N.)
| | - Risto Kajanne
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Asko Wegelius
- Department of Psychiatry, Helsinki University Hospital, University of Helsinki, 00029 Helsinki, Finland; (N.L.); (E.I.); (T.K.); (A.W.); (T.P.)
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.L.); (J.S.)
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
| | - Teemu Männynsalo
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Social Services and Health Care Sector, City of Helsinki, 00099 Helsinki, Finland
| | - Jussi Niemi-Pynttäri
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Social Services and Health Care Sector, City of Helsinki, 00099 Helsinki, Finland
| | - Kimmo Suokas
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Faculty of Medicine and Health Technology, Tampere University, 33014 Tampere, Finland;
| | - Jouko Lönnqvist
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.L.); (J.S.)
- Department of Psychiatry, University of Helsinki, 00014 Helsinki, Finland
| | - Solja Niemelä
- Department of Psychiatry, University of Turku, 20014 Turku, Finland; (J.H.); (S.N.)
- Department of Psychiatry, Turku University Hospital, 20521 Turku, Finland
| | - Jari Tiihonen
- Department of Forensic Psychiatry, Niuvanniemi Hospital, University of Eastern Finland, 70240 Kuopio, Finland; (M.L.); (K.H.); (J.T.)
- Department of Clinical Neuroscience, Karolinska Institute, 17177 Stockholm, Sweden
- Center for Psychiatry Research, Stockholm City Council, 11364 Stockholm, Sweden
| | - Tiina Paunio
- Department of Psychiatry, Helsinki University Hospital, University of Helsinki, 00029 Helsinki, Finland; (N.L.); (E.I.); (T.K.); (A.W.); (T.P.)
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.L.); (J.S.)
- Department of Psychiatry, University of Helsinki, 00014 Helsinki, Finland
| | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland; (K.L.); (W.H.); (R.K.); (T.M.); (J.N.-P.); (K.S.); (A.P.)
- Mehiläinen, Pohjoinen Hesperiankatu 17 C, 00260 Helsinki, Finland
- Stanley Center for Psychiatric Research, The Broad Institute of MIT (Massachusetts Institute of Technology) and Harvard, Cambridge, MA 02142, USA
- Analytical and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Jaana Suvisaari
- Mental Health Unit, Finnish Institute for Health and Welfare (THL), 00271 Helsinki, Finland; (M.T.-H.); (E.C.); (J.L.); (J.S.)
| | - Juha Veijola
- Department of Psychiatry, University of Oulu, 90014 Oulu, Finland; (M.K.); (T.J.); (J.V.)
- Department of Psychiatry, Oulu University Hospital, 90220 Oulu, Finland
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7
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Mahedy L, Suddell S, Skirrow C, Fernandes GS, Field M, Heron J, Hickman M, Wootton R, Munafò MR. Alcohol use and cognitive functioning in young adults: improving causal inference. Addiction 2021; 116:292-302. [PMID: 32335969 DOI: 10.1111/add.15100] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Revised: 03/23/2020] [Accepted: 04/20/2020] [Indexed: 12/23/2022]
Abstract
BACKGROUND AND AIMS There have been few longitudinal studies of association between alcohol use and cognitive functioning in young people. We aimed to examine whether alcohol use is a causal risk factor for deficient cognitive functioning in young adults. DESIGN Linear regression was used to examine the relationship between longitudinal latent class patterns of binge drinking and subsequent cognitive functioning. Two-sample Mendelian randomization (MR) tested evidence for the causal relationship between alcohol use and cognitive functioning. SETTING South West England. PARTICIPANTS The observational study included 3155 adolescents and their parents (fully adjusted models) from the Avon Longitudinal Study of Parents and Children (ALSPAC). Genetic instruments for alcohol use were based on almost 1 000 000 individuals from the genome-wide association studies (GWAS) and Sequencing Consortium of Alcohol and Nicotine use (GSCAN). Genome-wide association studies for cognitive outcomes were based on 2500 individuals from ALSPAC. MEASUREMENTS Binge drinking was assessed at approximately 16, 17, 18, 21 and 23 years. Cognitive functioning comprised working memory, response inhibition and emotion recognition assessed at 24 years of age. Ninety-nine independent genome-wide significant single nucleotide polymorphisms (SNPs) associated with 'number of drinks per week' were used as the genetic instrument for alcohol consumption. Potential confounders were included in the observational analyses. FINDINGS Four binge drinking classes were identified: 'low-risk' (41.3%), 'early-onset monthly' (19.1%), 'adult frequent' (22.5%) and 'early-onset frequent' (17.0%). The association between early-onset frequent binge drinking and cognitive functioning: working memory (b = -0.42, 95% confidence interval (CI) = -1.24 to 0.41), response inhibition (b = 31.9, 95% CI = -25.3 to 89.2), and emotion recognition (b = 0.02, 95% CI = -0.07 to 0.10) in comparison to low-risk drinkers were inconclusive as to whether a difference was present. Two-sample MR analyses similarly provided little evidence that alcohol use is associated with deficits in working memory using the inverse variance weight (b = 0.29, 95% CI = -0.42 to 0.99), response inhibition (b = -0.32, 95% CI = -1.04 to 0.39) and emotion recognition (b = 0.03, 95% CI = -0.55 to 0.61). CONCLUSIONS Binge drinking in adolescence and early adulthood may not be causally related to deficiencies in working memory, response inhibition or emotion recognition in youths.
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Affiliation(s)
- Liam Mahedy
- School of Psychological Science, University of Bristol, Bristol, UK.,MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.,National Institute for Health Research Biomedical Research Centre at the University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, UK
| | - Steph Suddell
- School of Psychological Science, University of Bristol, Bristol, UK.,MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.,National Institute for Health Research Biomedical Research Centre at the University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, UK
| | - Caroline Skirrow
- School of Psychological Science, University of Bristol, Bristol, UK.,Cambridge Cognition, Cambridge, UK
| | - Gwen S Fernandes
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Matt Field
- Department of Psychology, University of Sheffield, Sheffield, UK
| | - Jon Heron
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Matthew Hickman
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Robyn Wootton
- School of Psychological Science, University of Bristol, Bristol, UK.,MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.,National Institute for Health Research Biomedical Research Centre at the University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, UK
| | - Marcus R Munafò
- School of Psychological Science, University of Bristol, Bristol, UK.,MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.,National Institute for Health Research Biomedical Research Centre at the University Hospitals Bristol NHS Foundation Trust and the University of Bristol, Bristol, UK
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8
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Slayday RE, Gustavson DE, Elman JA, Beck A, McEvoy LK, Tu XM, Fang B, Hauger RL, Lyons MJ, McKenzie RE, Sanderson-Cimino ME, Xian H, Kremen WS, Franz CE. Interaction between Alcohol Consumption and Apolipoprotein E (ApoE) Genotype with Cognition in Middle-Aged Men. J Int Neuropsychol Soc 2021; 27:56-68. [PMID: 32662384 PMCID: PMC7856052 DOI: 10.1017/s1355617720000570] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Heavy alcohol consumption is associated with poorer cognitive function in older adults. Although understudied in middle-aged adults, the relationship between alcohol and cognition may also be influenced by genetics such as the apolipoprotein (ApoE) ε4 allele, a risk factor for Alzheimer's disease. We examined the relationship between alcohol consumption, ApoE genotype, and cognition in middle-aged adults and hypothesized that light and/or moderate drinkers (≤2 drinks per day) would show better cognitive performance than heavy drinkers or non-drinkers. Additionally, we hypothesized that the association between alcohol use and cognitive function would differ by ApoE genotype (ε4+ vs. ε4-). METHOD Participants were 1266 men from the Vietnam Era Twin Study of Aging (VETSA; M age = 56; range 51-60) who completed a neuropsychological battery assessing seven cognitive abilities: general cognitive ability (GCA), episodic memory, processing speed, executive function, abstract reasoning, verbal fluency, and visuospatial ability. Alcohol consumption was categorized into five groups: never, former, light, moderate, and heavy. RESULTS In fully adjusted models, there was no significant main effect of alcohol consumption on cognitive functions. However, there was a significant interaction between alcohol consumption and ApoE ε4 status for GCA and episodic memory, such that the relationship of alcohol consumption and cognition was stronger in ε4 carriers. The ε4+ heavy drinking subgroup had the poorest GCA and episodic memory. CONCLUSIONS Presence of the ε4 allele may increase vulnerability to the deleterious effects of heavy alcohol consumption. Beneficial effects of light or moderate alcohol consumption were not observed.
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Affiliation(s)
- Riki E. Slayday
- Department of Psychology, San Diego State University, San
Diego, CA, USA
| | - Daniel E. Gustavson
- Department of Psychiatry, University of California San
Diego, La Jolla CA, USA
| | - Jeremy A. Elman
- Department of Psychiatry, University of California San
Diego, La Jolla CA, USA
| | - Asad Beck
- University of Washington, Graduate Program in Neuroscience,
Seattle, WA, USA
| | - Linda K. McEvoy
- Department of Radiology, University of California San
Diego, La Jolla, CA, USA
| | - Xin M. Tu
- Department of Family Medicine, University of California San
Diego, La Jolla, CA, USA
| | - Bin Fang
- Department of Psychiatry, University of California San
Diego, La Jolla CA, USA
| | - Richard L. Hauger
- Department of Psychiatry, University of California San
Diego, La Jolla CA, USA
- Center of Excellence for Stress and Mental Health, VA San
Diego Healthcare System, San Diego, CA, USA
| | - Michael J. Lyons
- Department of Psychological and Brain Sciences, Boston
University, Boston, MA, USA
| | - Ruth E. McKenzie
- Department of Psychological and Brain Sciences, Boston
University, Boston, MA, USA
| | - Mark E. Sanderson-Cimino
- Department of Psychology, San Diego State University, San
Diego, CA, USA
- Department of Psychiatry, University of California San
Diego, La Jolla CA, USA
| | - Hong Xian
- Department of Biostatistics, St Louis University, St.
Louis, MO, USA
| | - William S. Kremen
- Department of Psychiatry, University of California San
Diego, La Jolla CA, USA
- Center of Excellence for Stress and Mental Health, VA San
Diego Healthcare System, San Diego, CA, USA
- Center for Behavior Genetics of Aging, University of
California San Diego, La Jolla CA, USA
| | - Carol E. Franz
- Department of Psychiatry, University of California San
Diego, La Jolla CA, USA
- Center for Behavior Genetics of Aging, University of
California San Diego, La Jolla CA, USA
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9
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Kivimäki M, Singh-Manoux A, Batty GD, Sabia S, Sommerlad A, Floud S, Jokela M, Vahtera J, Beydoun MA, Suominen SB, Koskinen A, Väänänen A, Goldberg M, Zins M, Alfredsson L, Westerholm PJM, Knutsson A, Nyberg ST, Sipilä PN, Lindbohm JV, Pentti J, Livingston G, Ferrie JE, Strandberg T. Association of Alcohol-Induced Loss of Consciousness and Overall Alcohol Consumption With Risk for Dementia. JAMA Netw Open 2020; 3:e2016084. [PMID: 32902651 PMCID: PMC7489835 DOI: 10.1001/jamanetworkopen.2020.16084] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
IMPORTANCE Evidence on alcohol consumption as a risk factor for dementia usually relates to overall consumption. The role of alcohol-induced loss of consciousness is uncertain. OBJECTIVE To examine the risk of future dementia associated with overall alcohol consumption and alcohol-induced loss of consciousness in a population of current drinkers. DESIGN, SETTING, AND PARTICIPANTS Seven cohort studies from the UK, France, Sweden, and Finland (IPD-Work consortium) including 131 415 participants were examined. At baseline (1986-2012), participants were aged 18 to 77 years, reported alcohol consumption, and were free of diagnosed dementia. Dementia was examined during a mean follow-up of 14.4 years (range, 12.3-30.1). Data analysis was conducted from November 17, 2019, to May 23, 2020. EXPOSURES Self-reported overall consumption and loss of consciousness due to alcohol consumption were assessed at baseline. Two thresholds were used to define heavy overall consumption: greater than 14 units (U) (UK definition) and greater than 21 U (US definition) per week. MAIN OUTCOMES AND MEASURES Dementia and alcohol-related disorders to 2016 were ascertained from linked electronic health records. RESULTS Of the 131 415 participants (mean [SD] age, 43.0 [10.4] years; 80 344 [61.1%] women), 1081 individuals (0.8%) developed dementia. After adjustment for potential confounders, the hazard ratio (HR) was 1.16 (95% CI, 0.98-1.37) for consuming greater than 14 vs 1 to 14 U of alcohol per week and 1.22 (95% CI, 1.01-1.48) for greater than 21 vs 1 to 21 U/wk. Of the 96 591 participants with data on loss of consciousness, 10 004 individuals (10.4%) reported having lost consciousness due to alcohol consumption in the past 12 months. The association between loss of consciousness and dementia was observed in men (HR, 2.86; 95% CI, 1.77-4.63) and women (HR, 2.09; 95% CI, 1.34-3.25) during the first 10 years of follow-up (HR, 2.72; 95% CI, 1.78-4.15), after excluding the first 10 years of follow-up (HR, 1.86; 95% CI, 1.16-2.99), and for early-onset (<65 y: HR, 2.21; 95% CI, 1.46-3.34) and late-onset (≥65 y: HR, 2.25; 95% CI, 1.38-3.66) dementia, Alzheimer disease (HR, 1.98; 95% CI, 1.28-3.07), and dementia with features of atherosclerotic cardiovascular disease (HR, 4.18; 95% CI, 1.86-9.37). The association with dementia was not explained by 14 other alcohol-related conditions. With moderate drinkers (1-14 U/wk) who had not lost consciousness as the reference group, the HR for dementia was twice as high in participants who reported having lost consciousness, whether their mean weekly consumption was moderate (HR, 2.19; 95% CI, 1.42-3.37) or heavy (HR, 2.36; 95% CI, 1.57-3.54). CONCLUSIONS AND RELEVANCE The findings of this study suggest that alcohol-induced loss of consciousness, irrespective of overall alcohol consumption, is associated with a subsequent increase in the risk of dementia.
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Affiliation(s)
- Mika Kivimäki
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
- Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Archana Singh-Manoux
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
- Epidemiology of Ageing and Neurodegenerative Diseases, INSERM U1153, Université de Paris, Paris, France
| | - G. David Batty
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
- Oregon State University School of Biological and Population Health Sciences, Corvallis, Oregon
| | - Séverine Sabia
- Epidemiology of Ageing and Neurodegenerative Diseases, INSERM U1153, Université de Paris, Paris, France
| | - Andrew Sommerlad
- Division of Psychiatry, University College London, London, United Kingdom
- Camden and Islington NHS Foundation Trust, London, United Kingdom
| | - Sarah Floud
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Markus Jokela
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Jussi Vahtera
- Department of Public Health, University of Turku, Turku, Finland
- Centre for Population Health Research, Turku University Hospital, University of Turku, Turku, Finland
| | - May A. Beydoun
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
| | - Sakari B. Suominen
- Department of Public Health, University of Turku, Turku, Finland
- University of Skövde School of Health and Education, Skövde, Sweden
| | - Aki Koskinen
- Finnish Institute of Occupational Health, Helsinki, Finland
| | - Ari Väänänen
- Finnish Institute of Occupational Health, Helsinki, Finland
| | - Marcel Goldberg
- Population-Based Epidemiological Cohorts Unit, INSERM UMS 011, Villejuif, France
| | - Marie Zins
- Population-Based Epidemiological Cohorts Unit, INSERM UMS 011, Villejuif, France
| | - Lars Alfredsson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | | | - Anders Knutsson
- Department of Health Sciences, Mid Sweden University, Sundsvall, Sweden
| | - Solja T. Nyberg
- Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Finnish Institute of Occupational Health, Helsinki, Finland
| | - Pyry N. Sipilä
- Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Joni V. Lindbohm
- Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Jaana Pentti
- Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Public Health, University of Turku, Turku, Finland
- Finnish Institute of Occupational Health, Helsinki, Finland
| | - Gill Livingston
- Division of Psychiatry, University College London, London, United Kingdom
- Camden and Islington NHS Foundation Trust, London, United Kingdom
| | - Jane E. Ferrie
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
- Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Timo Strandberg
- Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Medicine, Helsinki University Hospital, Helsinki, Finland
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
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10
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Lee YJ, Yoo MG, Kim HK, Jang HB, Park KJ, Lee HJ, Kim SG, Park SI. The association between alcohol metabolism and genetic variants of ADH1A, SRPRB, and PGM1 in Korea. Alcohol 2019; 79:137-145. [PMID: 31002879 DOI: 10.1016/j.alcohol.2019.03.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Revised: 03/20/2019] [Accepted: 03/20/2019] [Indexed: 12/15/2022]
Abstract
BACKGROUND Excessive alcohol consumption is a major public health problem in East Asian countries. Alcohol use leads to a cascade of problems including increased chances of risky behavior and a wide range of negative health consequences, from alcoholic liver disease to upper gastric and liver cancer. These alcohol effects are known to be influenced by ethnic variability and genetics. METHODS In this study, subjects were administered a single dose of alcohol (0.6 g/kg for men or 0.4 g/kg for women), and blood alcohol and acetaldehyde concentrations were measured eight times over 5 hours. To investigate genetically susceptible factors to alcohol metabolism, we selected single-nucleotide polymorphisms (SNP) of genes identified by prior genetic association studies for alcohol metabolism, alcohol consumption, alcohol dependence, and related traits, and performed genotyping on all subjects (n = 104). RESULTS We identified variations in the ADH1A, SRPRB, and PGM1 genes, which are directly associated with blood alcohol or acetaldehyde concentrations. Namely, the T allele of SRPRB rs17376019 and the C allele of PGM1 rs4643 were associated with lower blood alcohol levels, while the ADH1 rs1229976 C allele group exhibited markedly higher blood acetaldehyde levels than those of the ADH1 rs1229976 T allele group. CONCLUSION This study demonstrates that genetic variations in ADH1A, SRPRB, and PGM1 are associated with variations in blood alcohol and acetaldehyde concentration after alcohol intake.
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11
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Kuźma E, Hannon E, Zhou A, Lourida I, Bethel A, Levine DA, Lunnon K, Thompson-Coon J, Hyppönen E, Llewellyn DJ. Which Risk Factors Causally Influence Dementia? A Systematic Review of Mendelian Randomization Studies. J Alzheimers Dis 2019; 64:181-193. [PMID: 29865062 PMCID: PMC6004893 DOI: 10.3233/jad-180013] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Background: Numerous risk factors for dementia are well established, though the causal nature of these associations remains unclear. Objective: To systematically review Mendelian randomization (MR) studies investigating causal relationships between risk factors and global cognitive function or dementia. Methods: We searched five databases from inception to February 2017 and conducted citation searches including MR studies investigating the association between any risk factor and global cognitive function, all-cause dementia or dementia subtypes. Two reviewers independently assessed titles and abstracts, full-texts, and study quality. Results: We included 18 MR studies investigating education, lifestyle factors, cardiovascular factors and related biomarkers, diabetes related and other endocrine factors, and telomere length. Studies were of predominantly good quality, however eight received low ratings for sample size and statistical power. The most convincing causal evidence was found for an association of shorter telomeres with increased risk of Alzheimer’s disease (AD). Causal evidence was weaker for smoking quantity, vitamin D, homocysteine, systolic blood pressure, fasting glucose, insulin sensitivity, and high-density lipoprotein cholesterol. Well-replicated associations were not present for most exposures and we cannot fully discount survival and diagnostic bias, or the potential for pleiotropic effects. Conclusions: Genetic evidence supported a causal association between telomere length and AD, whereas limited evidence for other risk factors was largely inconclusive with tentative evidence for smoking quantity, vitamin D, homocysteine, and selected metabolic markers. The lack of stronger evidence for other risk factors may reflect insufficient statistical power. Larger well-designed MR studies would therefore help establish the causal status of these dementia risk factors.
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Affiliation(s)
| | | | - Ang Zhou
- Centre for Population Health Research, University of South Australia, Adelaide, Australia
| | | | - Alison Bethel
- NIHR CLAHRC South West Peninsula (PenCLAHRC), University of Exeter Medical School, Exeter, UK
| | - Deborah A Levine
- University of Michigan and Veterans Affairs Center for Clinical Management Research, Ann Arbor, USA
| | | | - Jo Thompson-Coon
- NIHR CLAHRC South West Peninsula (PenCLAHRC), University of Exeter Medical School, Exeter, UK
| | - Elina Hyppönen
- Centre for Population Health Research, University of South Australia, Adelaide, Australia
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12
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Hubacek JA, Pikhart H, Peasey A, Malyutina S, Pajak A, Tamosiunas A, Voevoda M, Holmes MV, Bobak M. The association between the FTO gene variant and alcohol consumption and binge and problem drinking in different gene-environment background: The HAPIEE study. Gene 2019; 707:30-35. [PMID: 31055022 DOI: 10.1016/j.gene.2019.05.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2018] [Revised: 04/07/2019] [Accepted: 05/01/2019] [Indexed: 12/20/2022]
Abstract
BACKGROUND Alcohol intake and tobacco smoking have significant negative health consequences and both are influenced by genetic predispositions. Some studies suggest that the FTO gene is associated with alcohol consumption. We investigated whether a tagging variant (rs17817449) within the FTO gene is associated with alcohol intake, problem drinking and smoking behaviour. METHODS We analysed data from 26,792 Caucasian adults (47.2% of males; mean age 58.9 (±7.3) years), examined through the prospective cohort HAPIEE study. The primary outcomes were daily alcohol consumption, binge drinking, problem drinking (CAGE score 2+) and smoking status in relation to tagging variants within the FTO and ADH1B genes. RESULTS We found no significant association of the FTO polymorphism with smoking status in either sex. The associations of the FTO polymorphism with drinking pattern were inconsistent and differed by gender. In men, GG homozygote carriers had lower odds of problem drinking (OR 0.85, 95% CI 0.75-0.96, p = 0.03). In women, the combination of the FTO/ADH1B GG/+A genotypes doubled the risk of binge drinking (OR 2.10, 95% CI 1.19-3.71, p < 0.05), and the risk was further increased among smoking women (OR 4.10, 95% CI 1.64-10.24, p = 0.008). CONCLUSIONS In this large population study, the FTO gene appeared associated with binge and problem drinking, and the associations were modified by sex, smoking status and the ADH1B polymorphism.
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Affiliation(s)
- Jaroslav A Hubacek
- Center for Experimental Medicine, Institute for Clinical and Experimental Medicine, Prague, Czech Republic.
| | - Hynek Pikhart
- International Institute for Health and Society, Department of Epidemiology and Public Health, University College London, UK
| | - Anne Peasey
- International Institute for Health and Society, Department of Epidemiology and Public Health, University College London, UK
| | - Sofia Malyutina
- Research Institute of Internal and Preventive Medicine, Branch of the Institute of Cytology and Genetics, SB RAS, Novosibirsk, Russia
| | - Andrzej Pajak
- Department of Epidemiology and Population Studies, Institute of Public Health, Faculty of Health Care, Jagiellonian University Medical College, Krakow, Poland
| | - Abdonas Tamosiunas
- Department of Population Studies, Institute of Cardiology of Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Mikhail Voevoda
- Research Institute of Internal and Preventive Medicine, Branch of the Institute of Cytology and Genetics, SB RAS, Novosibirsk, Russia
| | - Michael V Holmes
- National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospital, Oxford, England, UK
| | - Martin Bobak
- International Institute for Health and Society, Department of Epidemiology and Public Health, University College London, UK
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13
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Abstract
BACKGROUND Alcohol use has been identified as a risk factor for dementia and cognitive decline. However, some patterns of drinking have been associated with beneficial effects. METHODS AND RESULTS To clarify the relationship between alcohol use and dementia, we conducted a scoping review based on a systematic search of systematic reviews published from January 2000 to October 2017 by using Medline, Embase, and PsycINFO. Overall, 28 systematic reviews were identified: 20 on the associations between the level of alcohol use and the incidence of cognitive impairment/dementia, six on the associations between dimensions of alcohol use and specific brain functions, and two on induced dementias. Although causality could not be established, light to moderate alcohol use in middle to late adulthood was associated with a decreased risk of cognitive impairment and dementia. Heavy alcohol use was associated with changes in brain structures, cognitive impairments, and an increased risk of all types of dementia. CONCLUSION Reducing heavy alcohol use may be an effective dementia prevention strategy.
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Affiliation(s)
- Jürgen Rehm
- Institute for Mental Health Policy Research, CAMH, 33 Russell Street, Toronto, Ontario M5S 2S1 Canada
- Dalla Lana School of Public Health, University of Toronto, 27 King’s College Circle, Toronto, M5S 1A1 Ontario Canada
- Campbell Family Mental Health Research Institute, CAMH, 250 College Street, Toronto, M5T 1R8 Ontario Canada
- Institute of Medical Science, University of Toronto, Medical Sciences Building, 1 King’s College Circle, Toronto, M5S 1A8 Ontario Canada
- Department of Psychiatry, University of Toronto, 250 College Street, Toronto, M5T 1R8 Ontario Canada
- Institute for Clinical Psychology and Psychotherapy, Technische Universität Dresden, Chemnitzer Str. 46, Dresden, 01187 Germany
| | - Omer S. M. Hasan
- Institute for Mental Health Policy Research, CAMH, 33 Russell Street, Toronto, Ontario M5S 2S1 Canada
- Dalla Lana School of Public Health, University of Toronto, 27 King’s College Circle, Toronto, M5S 1A1 Ontario Canada
| | - Sandra E. Black
- Institute of Medical Science, University of Toronto, Medical Sciences Building, 1 King’s College Circle, Toronto, M5S 1A8 Ontario Canada
- Department of Medicine (Neurology), Sunnybrook Health Sciences Centre and University of Toronto, 2075 Bayview Avenue, Toronto, M4N 3M5 Ontario Canada
- Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, M4N 3M5 Ontario Canada
| | - Kevin D. Shield
- Institute for Mental Health Policy Research, CAMH, 33 Russell Street, Toronto, Ontario M5S 2S1 Canada
- Dalla Lana School of Public Health, University of Toronto, 27 King’s College Circle, Toronto, M5S 1A1 Ontario Canada
| | - Michaël Schwarzinger
- Translational Health Economics Network (THEN), 39 quai de Valmy, Paris, 75010 Paris France
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14
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Christensen AI, Nordestgaard BG, Tolstrup JS. Alcohol Intake and Risk of Ischemic and Haemorrhagic Stroke: Results from a Mendelian Randomisation Study. J Stroke 2018; 20:218-227. [PMID: 29886720 PMCID: PMC6007300 DOI: 10.5853/jos.2017.01466] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2017] [Revised: 11/24/2017] [Accepted: 12/24/2017] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND AND PURPOSE To test whether alcohol intake, both observational and estimated by genetic instruments, is associated with risk of ischemic and haemorrhagic stroke. METHODS We used data from the Copenhagen City Heart Study 1991 to 1994 and 2001 to 2003, and the Copenhagen General Population Study 2003 to 2012 (n=78,546). As measure of alcohol exposure, self-reported consumption and genetic variation in alcohol metabolizing genes (alcohol dehydrogenase ADH1B and ADH1C) as instrumental variables were used. Stroke diagnoses were obtained from a validated hospital register. RESULTS During follow-up 2,535 cases of ischemic and haemorrhagic stroke occurred. Low and moderate alcohol intake (1 to 20 drinks/week) was associated with reduced risk of stroke. The hazard ratios associated with drinking 1 to 6, 7 to 13, and 14 to 20 drinks/week were 0.84 (95% confidence interval [CI], 0.76 to 0.92), 0.83 (95% CI, 0.73 to 0.94), and 0.84 (95% CI, 0.73 to 0.97), respectively, compared with drinking <1 drink/day. ADH1B and ADH1C genotypes were not associated with risk of stroke. Further analysis to test the included measures revealed that increasing alcohol intake (per 1 drink/day) was positively associated with risk of alcoholic liver cirrhosis, but not associated with risk of stroke, and that increasing blood pressure (per systolic 10 mm Hg) was not associated with risk of alcoholic liver cirrhosis, but positively associated with risk of stroke. CONCLUSIONS Low and moderate self-reported alcohol intake was associated with reduced risk of stroke. The result was not supported by the result from the causal genetic analysis.
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Affiliation(s)
- Anne I Christensen
- National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
| | - Børge G Nordestgaard
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark.,The Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark.,The Copenhagen City Heart Study, Frederiksberg Hospital, Copenhagen University Hospital, Frederiksberg, Denmark
| | - Janne S Tolstrup
- National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
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15
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Abstract
Mendelian randomization studies commonly focus on elderly populations. This makes the instrumental variables analysis of such studies sensitive to survivor bias, a type of selection bias. A particular concern is that the instrumental variable conditions, even when valid for the source population, may be violated for the selective population of individuals who survive the onset of the study. This is potentially very damaging because Mendelian randomization studies are known to be sensitive to bias due to even minor violations of the instrumental variable conditions. Interestingly, the instrumental variable conditions continue to hold within certain risk sets of individuals who are still alive at a given age when the instrument and unmeasured confounders exert additive effects on the exposure, and moreover, the exposure and unmeasured confounders exert additive effects on the hazard of death. In this article, we will exploit this property to derive a two-stage instrumental variable estimator for the effect of exposure on mortality, which is insulated against the above described selection bias under these additivity assumptions.
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16
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Polimanti R, Gelernter J. ADH1B: From alcoholism, natural selection, and cancer to the human phenome. Am J Med Genet B Neuropsychiatr Genet 2018; 177:113-125. [PMID: 28349588 PMCID: PMC5617762 DOI: 10.1002/ajmg.b.32523] [Citation(s) in RCA: 58] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2016] [Accepted: 12/19/2016] [Indexed: 12/18/2022]
Abstract
The ADH1B (Alcohol Dehydrogenase 1B (class I), Beta Polypeptide) gene and its best-known functional alleles, Arg48His (rs1229984, ADH1B*2) and Arg370Cys (rs2066702, ADH1B*3), have been investigated in relation to many phenotypic traits; most frequently including alcohol metabolism and alcohol drinking behaviors, but also human evolution, liver function, cancer, and, recently, the comprehensive human phenome. To understand ADH1B functions and consequences, we provide here a bioinformatic analysis of its gene regulation and molecular functions, literature review of studies focused on this gene, and a discussion regarding future research perspectives. Certain ADH1B alleles have large effects on alcohol metabolism, and this relationship particularly encourages further investigations in relation to alcoholism and alcohol-associated cancer to understand better the mechanisms by which alcohol metabolism contributes to alcohol abuse and carcinogenesis. We also observed that ADH1B has complex mechanisms that regulate its expression across multiple human tissues, and these may be involved in cardiac and metabolic traits. Evolutionary data strongly suggest that the selection signatures at the ADH1B locus are primarily related to effects other than those on alcohol metabolism. This is also supported by the involvement of ADH1B in multiple molecular pathways and by the findings of our recent phenome-wide association study. Accordingly, future studies should also investigate other functions of ADH1B potentially relevant for the human phenome. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Renato Polimanti
- Department of Psychiatry, Yale School of Medicine and VA CT Healthcare Center, West Haven, CT, USA
| | - Joel Gelernter
- Department of Psychiatry, Yale School of Medicine and VA CT Healthcare Center, West Haven, CT, USA
- Department of Genetics, Yale School of Medicine, West Haven, CT, USA
- Department of Neuroscience, Yale School of Medicine, West Haven, CT, USA
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17
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Rehm J, Gmel GE, Gmel G, Hasan OSM, Imtiaz S, Popova S, Probst C, Roerecke M, Room R, Samokhvalov AV, Shield KD, Shuper PA. The relationship between different dimensions of alcohol use and the burden of disease-an update. Addiction 2017; 112:968-1001. [PMID: 28220587 PMCID: PMC5434904 DOI: 10.1111/add.13757] [Citation(s) in RCA: 667] [Impact Index Per Article: 95.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2016] [Revised: 12/19/2016] [Accepted: 01/09/2017] [Indexed: 02/06/2023]
Abstract
BACKGROUND AND AIMS Alcohol use is a major contributor to injuries, mortality and the burden of disease. This review updates knowledge on risk relations between dimensions of alcohol use and health outcomes to be used in global and national Comparative Risk Assessments (CRAs). METHODS Systematic review of reviews and meta-analyses on alcohol consumption and health outcomes attributable to alcohol use. For dimensions of exposure: volume of alcohol use, blood alcohol concentration and patterns of drinking, in particular heavy drinking occasions were studied. For liver cirrhosis, quality of alcohol was additionally considered. For all outcomes (mortality and/or morbidity): cause of death and disease/injury categories based on International Classification of Diseases (ICD) codes used in global CRAs; harm to others. RESULTS In total, 255 reviews and meta-analyses were identified. Alcohol use was found to be linked causally to many disease and injury categories, with more than 40 ICD-10 three-digit categories being fully attributable to alcohol. Most partially attributable disease categories showed monotonic relationships with volume of alcohol use: the more alcohol consumed, the higher the risk of disease or death. Exceptions were ischaemic diseases and diabetes, with curvilinear relationships, and with beneficial effects of light to moderate drinking in people without heavy irregular drinking occasions. Biological pathways suggest an impact of heavy drinking occasions on additional diseases; however, the lack of medical epidemiological studies measuring this dimension of alcohol use precluded an in-depth analysis. For injuries, except suicide, blood alcohol concentration was the most important dimension of alcohol use. Alcohol use caused marked harm to others, which has not yet been researched sufficiently. CONCLUSIONS Research since 2010 confirms the importance of alcohol use as a risk factor for disease and injuries; for some health outcomes, more than one dimension of use needs to be considered. Epidemiological studies should include measurement of heavy drinking occasions in line with biological knowledge.
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Affiliation(s)
- Jürgen Rehm
- Institute for Mental Health Policy Research, CAMHTorontoOntarioCanada
- Campbell Family Mental Health Research Institute, CAMHTorontoOntarioCanada
- Institute of Medical Science (IMS)University of TorontoTorontoOntarioCanada
- Department of PsychiatryUniversity of TorontoTorontoOntarioCanada
- Dalla Lana School of Public HealthUniversity of TorontoTorontoOntarioCanada
- Institute for Clinical Psychology and Psychotherapy, TU DresdenDresdenGermany
| | - Gerhard E. Gmel
- Institute for Mental Health Policy Research, CAMHTorontoOntarioCanada
- Alcohol Treatment CenterLausanne University HospitalLausanneSwitzerland
- Addiction SwitzerlandLausanneSwitzerland
- University of the West of EnglandBristolUK
| | - Gerrit Gmel
- Institute for Mental Health Policy Research, CAMHTorontoOntarioCanada
| | - Omer S. M. Hasan
- Institute for Mental Health Policy Research, CAMHTorontoOntarioCanada
| | - Sameer Imtiaz
- Institute for Mental Health Policy Research, CAMHTorontoOntarioCanada
- Institute of Medical Science (IMS)University of TorontoTorontoOntarioCanada
| | - Svetlana Popova
- Institute for Mental Health Policy Research, CAMHTorontoOntarioCanada
- Institute of Medical Science (IMS)University of TorontoTorontoOntarioCanada
- Dalla Lana School of Public HealthUniversity of TorontoTorontoOntarioCanada
- Factor‐Inwentash Faculty of Social WorkUniversity of TorontoOntarioCanada
| | - Charlotte Probst
- Institute for Mental Health Policy Research, CAMHTorontoOntarioCanada
- Institute for Clinical Psychology and Psychotherapy, TU DresdenDresdenGermany
| | - Michael Roerecke
- Institute for Mental Health Policy Research, CAMHTorontoOntarioCanada
- Dalla Lana School of Public HealthUniversity of TorontoTorontoOntarioCanada
| | - Robin Room
- Centre for Alcohol Policy ResearchLa Trobe UniversityMelbourneVictoriaAustralia
- Centre for Social Research on Alcohol and DrugsStockholm UniversityStockholmSweden
| | - Andriy V. Samokhvalov
- Institute for Mental Health Policy Research, CAMHTorontoOntarioCanada
- Institute of Medical Science (IMS)University of TorontoTorontoOntarioCanada
- Department of PsychiatryUniversity of TorontoTorontoOntarioCanada
| | - Kevin D. Shield
- Section of Cancer SurveillanceInternational Agency for Research on CancerLyonFrance
| | - Paul A. Shuper
- Institute for Mental Health Policy Research, CAMHTorontoOntarioCanada
- Dalla Lana School of Public HealthUniversity of TorontoTorontoOntarioCanada
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18
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Almeida OP, McCaul K, Hankey GJ, Yeap BB, Golledge J, Flicker L. Excessive alcohol consumption increases mortality in later life: a genetic analysis of the health in men cohort study. Addict Biol 2017; 22:570-578. [PMID: 26644136 DOI: 10.1111/adb.12340] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2015] [Revised: 10/28/2015] [Accepted: 10/30/2015] [Indexed: 12/20/2022]
Abstract
We designed this cohort study of men aged 70-89 years to determine if excessive alcohol use increases mortality. They reported history of alcohol use (never, past, ≤ two daily drinks, two to four daily drinks, four to six daily drinks, > six daily drinks) and donated a blood sample in 2001-2004. We determined the ADH1B rs1229984 G>A polymorphism and retrieved mortality data from the Western Australian Data Linkage System. Other study measures included age, education, body mass index, smoking, and history of hypertension, diabetes, chronic respiratory diseases, coronary heart disease and stroke. Of the 3496 participants, 225 (6.4 percent) carried the ADH1B rs1229984 G>A polymorphism. Carriers consumed significantly less alcohol than non-carriers. The adjusted mortality hazard ratio (MHR, 95 percent confidence interval-95%CI) over 8.0 years (range: 10 weeks to 11.2 years) relative to never drinkers was 1.15 (95%CI = 0.86, 1.55) for past drinkers, 0.98 (95%CI = 0.76, 1.25) for men consuming ≤ two daily drinks, 1.13 (95%CI = 0.85, 1.49) for two to four drinks, 1.18 (95%CI = 0.81, 1.71) for four to six drinks and 1.87 (95%CI = 1.11, 3.12) for those consuming more than six daily drinks on a regular basis. The MHR associated with the ADH1B rs1229984 G>A polymorphism was 0.68 (95%CI = 0.54, 0.87). Excessive alcohol use in later life is associated with increased mortality, and this association is likely to be causal. We found no evidence that light to moderate alcohol use decreases the mortality of older men. Health messages regarding the safe use of alcohol in older age may benefit from taking these findings into account.
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Affiliation(s)
- Osvaldo P. Almeida
- School of Psychiatry and Clinical Neurosciences; University of Western Australia; Australia
- WA Centre for Health and Ageing, Centre for Medical Research; Australia
- Department of Psychiatry; Royal Perth Hospital; Australia
| | - Kieran McCaul
- WA Centre for Health and Ageing, Centre for Medical Research; Australia
| | - Graeme J. Hankey
- School of Medicine and Pharmacology; University of Western Australia; Australia
- Department of Neurology; Sir Charles Gairdner Hospital; Australia
| | - Bu B. Yeap
- School of Medicine and Pharmacology; University of Western Australia; Australia
- Department of Endocrinology; Fremantle and Fiona Stanley Hospitals; Australia
| | - Jonathan Golledge
- Queensland Research Centre for Peripheral Vascular Disease, College of Medicine and Dentistry; James Cook University; Australia
- Department of Vascular and Endovascular Surgery; The Townsville Hospital; Australia
| | - Leon Flicker
- WA Centre for Health and Ageing, Centre for Medical Research; Australia
- School of Medicine and Pharmacology; University of Western Australia; Australia
- Department of Geriatric Medicine; Royal Perth Hospital; Australia
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19
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Ng Fat L. Commentary on Kerr and Colleagues (): More Evidence that Social and Health Limitations in Childhood Increase the Risk of Lifetime Abstention from Alcohol. Alcohol Clin Exp Res 2017; 41:876-879. [PMID: 28222224 DOI: 10.1111/acer.13360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2017] [Accepted: 02/16/2017] [Indexed: 11/28/2022]
Affiliation(s)
- Linda Ng Fat
- Department of Epidemiology & Public Health (LNF), Institute of Epidemiology & Health Care, University College London, London, United Kingdom
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20
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Rehm J, Gmel GE, Gmel G, Hasan OSM, Imtiaz S, Popova S, Probst C, Roerecke M, Room R, Samokhvalov AV, Shield KD, Shuper PA. The relationship between different dimensions of alcohol use and the burden of disease-an update. ADDICTION (ABINGDON, ENGLAND) 2017. [PMID: 28220587 DOI: 10.1111/add.13757.] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
BACKGROUND AND AIMS Alcohol use is a major contributor to injuries, mortality and the burden of disease. This review updates knowledge on risk relations between dimensions of alcohol use and health outcomes to be used in global and national Comparative Risk Assessments (CRAs). METHODS Systematic review of reviews and meta-analyses on alcohol consumption and health outcomes attributable to alcohol use. For dimensions of exposure: volume of alcohol use, blood alcohol concentration and patterns of drinking, in particular heavy drinking occasions were studied. For liver cirrhosis, quality of alcohol was additionally considered. For all outcomes (mortality and/or morbidity): cause of death and disease/injury categories based on International Classification of Diseases (ICD) codes used in global CRAs; harm to others. RESULTS In total, 255 reviews and meta-analyses were identified. Alcohol use was found to be linked causally to many disease and injury categories, with more than 40 ICD-10 three-digit categories being fully attributable to alcohol. Most partially attributable disease categories showed monotonic relationships with volume of alcohol use: the more alcohol consumed, the higher the risk of disease or death. Exceptions were ischaemic diseases and diabetes, with curvilinear relationships, and with beneficial effects of light to moderate drinking in people without heavy irregular drinking occasions. Biological pathways suggest an impact of heavy drinking occasions on additional diseases; however, the lack of medical epidemiological studies measuring this dimension of alcohol use precluded an in-depth analysis. For injuries, except suicide, blood alcohol concentration was the most important dimension of alcohol use. Alcohol use caused marked harm to others, which has not yet been researched sufficiently. CONCLUSIONS Research since 2010 confirms the importance of alcohol use as a risk factor for disease and injuries; for some health outcomes, more than one dimension of use needs to be considered. Epidemiological studies should include measurement of heavy drinking occasions in line with biological knowledge.
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Affiliation(s)
- Jürgen Rehm
- Institute for Mental Health Policy Research, CAMH, Toronto, Ontario, Canada.,Campbell Family Mental Health Research Institute, CAMH, Toronto, Ontario, Canada.,Institute of Medical Science (IMS), University of Toronto, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.,Institute for Clinical Psychology and Psychotherapy, TU Dresden, Dresden, Germany
| | - Gerhard E Gmel
- Institute for Mental Health Policy Research, CAMH, Toronto, Ontario, Canada.,Alcohol Treatment Center, Lausanne University Hospital, Lausanne, Switzerland.,Addiction Switzerland, Lausanne, Switzerland.,University of the West of England, Bristol, UK
| | - Gerrit Gmel
- Institute for Mental Health Policy Research, CAMH, Toronto, Ontario, Canada
| | - Omer S M Hasan
- Institute for Mental Health Policy Research, CAMH, Toronto, Ontario, Canada
| | - Sameer Imtiaz
- Institute for Mental Health Policy Research, CAMH, Toronto, Ontario, Canada.,Institute of Medical Science (IMS), University of Toronto, Toronto, Ontario, Canada
| | - Svetlana Popova
- Institute for Mental Health Policy Research, CAMH, Toronto, Ontario, Canada.,Institute of Medical Science (IMS), University of Toronto, Toronto, Ontario, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.,Factor-Inwentash Faculty of Social Work, University of Toronto, Ontario, Canada
| | - Charlotte Probst
- Institute for Mental Health Policy Research, CAMH, Toronto, Ontario, Canada.,Institute for Clinical Psychology and Psychotherapy, TU Dresden, Dresden, Germany
| | - Michael Roerecke
- Institute for Mental Health Policy Research, CAMH, Toronto, Ontario, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Robin Room
- Centre for Alcohol Policy Research, La Trobe University, Melbourne, Victoria, Australia.,Centre for Social Research on Alcohol and Drugs, Stockholm University, Stockholm, Sweden
| | - Andriy V Samokhvalov
- Institute for Mental Health Policy Research, CAMH, Toronto, Ontario, Canada.,Institute of Medical Science (IMS), University of Toronto, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Kevin D Shield
- Section of Cancer Surveillance, International Agency for Research on Cancer, Lyon, France
| | - Paul A Shuper
- Institute for Mental Health Policy Research, CAMH, Toronto, Ontario, Canada.,Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
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21
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Naimi TS, Stockwell T, Zhao J, Xuan Z, Dangardt F, Saitz R, Liang W, Chikritzhs T. Selection biases in observational studies affect associations between 'moderate' alcohol consumption and mortality. Addiction 2017; 112:207-214. [PMID: 27316346 DOI: 10.1111/add.13451] [Citation(s) in RCA: 124] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2015] [Revised: 02/05/2016] [Accepted: 05/12/2016] [Indexed: 12/31/2022]
Abstract
Selection biases may lead to systematic overestimate of protective effects from 'moderate' alcohol consumption. Overall, most sources of selection bias favor low-volume drinkers in relation to non-drinkers. Studies that attempt to address these types of bias generally find attenuated or non-significant relationships between low-volume alcohol consumption and cardiovascular disease, which is the major source of possible protective effects on mortality from low-volume consumption. Furthermore, observed mortality effects among established low-volume consumers are of limited relevance to health-related decisions about whether to initiate consumption or to continue drinking purposefully into old age. Short of randomized trials with mortality end-points, there are a number of approaches that can minimize selection bias involving low-volume alcohol consumption.
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Affiliation(s)
- Timothy S Naimi
- Section of General Internal Medicine, Boston Medical Center, Boston, MA, USA.,Department of Community Health Sciences, Boston University School of Public Health, Boston, MA, USA
| | - Timothy Stockwell
- Centre for Addiction Research of BC, University of Victoria, Victoria, British Columbia, Canada
| | - Jinhui Zhao
- Centre for Addiction Research of BC, University of Victoria, Victoria, British Columbia, Canada
| | - Ziming Xuan
- Department of Community Health Sciences, Boston University School of Public Health, Boston, MA, USA
| | | | - Rich Saitz
- Centre for Addiction Research of BC, University of Victoria, Victoria, British Columbia, Canada
| | - Wenbin Liang
- National Drug Research Institute, Curtin University, Perth, Australia
| | - Tanya Chikritzhs
- National Drug Research Institute, Curtin University, Perth, Australia
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22
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Enomoto M, Yoshii H, Mita T, Sanke H, Yokota A, Yamashiro K, Inagaki N, Gosho M, Ohmura C, Kudo K, Watada H, Onuma T. Relationship between dietary pattern and cognitive function in elderly patients with type 2 diabetes mellitus. J Int Med Res 2015; 43:506-17. [PMID: 25998626 DOI: 10.1177/0300060515581672] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2014] [Accepted: 03/20/2015] [Indexed: 01/01/2023] Open
Abstract
OBJECTIVE To analyse the relationships between dietary patterns and cognitive function in elderly patients with type 2 diabetes mellitus (T2DM). METHODS Patients with T2DM completed a 3-day dietary record and Mini-mental State Examination (MMSE). Dietary patterns were identified by factor analysis. RESULTS The study included 73 patients and identified five dietary patterns, one of which was characterized by high loading for vegetables and fish. A higher consumption of vegetables and fish was significantly associated with improved MMSE score (unadjusted model, model adjusted for age and sex, and model adjusted for age, sex, education, diabetic nephropathy and alcohol consumption), and decreased prevalence of suspected mild dementia (unadjusted model, model adjusted for age and sex). CONCLUSIONS A high score in the vegetables and fish dietary pattern was associated with high MMSE score and low prevalence of suspected mild dementia in elderly patients with T2DM.
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Affiliation(s)
- Mari Enomoto
- Department of Medicine, Diabetology and Endocrinology, Juntendo Tokyo Koto Geriatric Medical Centre, Tokyo, Japan
| | - Hidenori Yoshii
- Department of Medicine, Diabetology and Endocrinology, Juntendo Tokyo Koto Geriatric Medical Centre, Tokyo, Japan
| | - Tomoya Mita
- Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan Centre for Molecular Diabetology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Haruna Sanke
- Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Ayako Yokota
- Department of Medicine, Diabetology and Endocrinology, Juntendo Tokyo Koto Geriatric Medical Centre, Tokyo, Japan
| | - Keiko Yamashiro
- Department of Medicine, Diabetology and Endocrinology, Juntendo Tokyo Koto Geriatric Medical Centre, Tokyo, Japan
| | - Noriko Inagaki
- Department of Medicine, Diabetology and Endocrinology, Juntendo Tokyo Koto Geriatric Medical Centre, Tokyo, Japan
| | - Masahiko Gosho
- Department of Clinical Trials and Clinical Epidemiology, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan
| | - Chie Ohmura
- Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Kayo Kudo
- Department of Medicine, Nutritional Management Section, Juntendo Tokyo Koto Geriatric Medical Centre, Tokyo, Japan
| | - Hirotaka Watada
- Department of Metabolism and Endocrinology, Juntendo University Graduate School of Medicine, Tokyo, Japan Department of Clinical Trials and Clinical Epidemiology, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan Centre for Therapeutic Innovations in Diabetes, Tokyo, Japan Sportology Centre, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Tomio Onuma
- Department of Medicine, Diabetology and Endocrinology, Juntendo Tokyo Koto Geriatric Medical Centre, Tokyo, Japan
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23
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Horvat P, Richards M, Kubinova R, Pajak A, Malyutina S, Shishkin S, Pikhart H, Peasey A, Marmot MG, Singh-Manoux A, Bobak M. Alcohol consumption, drinking patterns, and cognitive function in older Eastern European adults. Neurology 2014; 84:287-95. [PMID: 25503981 PMCID: PMC4335999 DOI: 10.1212/wnl.0000000000001164] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Objective: To investigate associations of frequency, quantity, binge, and problem drinking with cognitive function in older Eastern European adults. Methods: The investigation included 14,575 participants, aged 47 to 78 years at cognitive assessment in 2006–2008 from Novosibirsk (Russia), Krakow (Poland), and 6 Czech towns participating in the HAPIEE (Health, Alcohol, and Psychosocial Factors in Eastern Europe) prospective cohort study. Average response rates were 59% at baseline (2002–2005) and 63% in 2006–2008. Alcohol consumption was assessed at baseline and in 2006–2008. Cognitive tests included immediate and delayed word recall, semantic fluency (animal naming), and letter cancellation. Associations between alcohol indices and cognitive scores were analyzed cross-sectionally (all measures from 2006 to 2008) and prospectively (alcohol and covariates from 2002 to 2005 and cognition from 2006 to 2008). Results: In cross-sectional analyses, nondrinkers had lower cognitive scores and female moderate drinkers had better cognitive performance than light drinkers. Heavy, binge, and problem drinking were not consistently associated with cognitive function. Few associations were replicated in prospective analyses. Participants who stopped drinking during follow-up had worse cognition than stable drinkers; in men, regression coefficients (95% confidence interval) ranged from −0.26 (−0.36, −0.16) for immediate recall to −0.14 (−0.24, −0.04) for fluency. Conclusion: Regular and episodic heavy drinking were not consistently associated with cognitive function. Worse cognition in participants who stopped drinking during follow-up suggests that inclusion of less healthy ex-drinkers may partly explain poorer cognition in nondrinkers.
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Affiliation(s)
- Pia Horvat
- From the Department of Epidemiology & Public Health (P.H., H.P., A. Peasey, M.G.M., A.S.-M., M.B.), and MRC Unit for Lifelong Health and Ageing at UCL (M.R.), University College London, UK; National Institute of Public Health (R.K.), Prague, Czech Republic; Department of Epidemiology and Population Studies (A. Pajak), Jagellonian University Collegium Medicum, Krakow, Poland; Institute of Internal and Preventive Medicine Siberian Branch under the Russian Academy of Medical Sciences (S.M., S.S.), Novosibirsk; Novosibirsk State Medical University (S.M.), Novosibirsk, Russia; and INSERM (A.S.-M.), U1018, Hopital Paul Brousse, Villejuif, France.
| | - Marcus Richards
- From the Department of Epidemiology & Public Health (P.H., H.P., A. Peasey, M.G.M., A.S.-M., M.B.), and MRC Unit for Lifelong Health and Ageing at UCL (M.R.), University College London, UK; National Institute of Public Health (R.K.), Prague, Czech Republic; Department of Epidemiology and Population Studies (A. Pajak), Jagellonian University Collegium Medicum, Krakow, Poland; Institute of Internal and Preventive Medicine Siberian Branch under the Russian Academy of Medical Sciences (S.M., S.S.), Novosibirsk; Novosibirsk State Medical University (S.M.), Novosibirsk, Russia; and INSERM (A.S.-M.), U1018, Hopital Paul Brousse, Villejuif, France
| | - Ruzena Kubinova
- From the Department of Epidemiology & Public Health (P.H., H.P., A. Peasey, M.G.M., A.S.-M., M.B.), and MRC Unit for Lifelong Health and Ageing at UCL (M.R.), University College London, UK; National Institute of Public Health (R.K.), Prague, Czech Republic; Department of Epidemiology and Population Studies (A. Pajak), Jagellonian University Collegium Medicum, Krakow, Poland; Institute of Internal and Preventive Medicine Siberian Branch under the Russian Academy of Medical Sciences (S.M., S.S.), Novosibirsk; Novosibirsk State Medical University (S.M.), Novosibirsk, Russia; and INSERM (A.S.-M.), U1018, Hopital Paul Brousse, Villejuif, France
| | - Andrzej Pajak
- From the Department of Epidemiology & Public Health (P.H., H.P., A. Peasey, M.G.M., A.S.-M., M.B.), and MRC Unit for Lifelong Health and Ageing at UCL (M.R.), University College London, UK; National Institute of Public Health (R.K.), Prague, Czech Republic; Department of Epidemiology and Population Studies (A. Pajak), Jagellonian University Collegium Medicum, Krakow, Poland; Institute of Internal and Preventive Medicine Siberian Branch under the Russian Academy of Medical Sciences (S.M., S.S.), Novosibirsk; Novosibirsk State Medical University (S.M.), Novosibirsk, Russia; and INSERM (A.S.-M.), U1018, Hopital Paul Brousse, Villejuif, France
| | - Sofia Malyutina
- From the Department of Epidemiology & Public Health (P.H., H.P., A. Peasey, M.G.M., A.S.-M., M.B.), and MRC Unit for Lifelong Health and Ageing at UCL (M.R.), University College London, UK; National Institute of Public Health (R.K.), Prague, Czech Republic; Department of Epidemiology and Population Studies (A. Pajak), Jagellonian University Collegium Medicum, Krakow, Poland; Institute of Internal and Preventive Medicine Siberian Branch under the Russian Academy of Medical Sciences (S.M., S.S.), Novosibirsk; Novosibirsk State Medical University (S.M.), Novosibirsk, Russia; and INSERM (A.S.-M.), U1018, Hopital Paul Brousse, Villejuif, France
| | - Sergey Shishkin
- From the Department of Epidemiology & Public Health (P.H., H.P., A. Peasey, M.G.M., A.S.-M., M.B.), and MRC Unit for Lifelong Health and Ageing at UCL (M.R.), University College London, UK; National Institute of Public Health (R.K.), Prague, Czech Republic; Department of Epidemiology and Population Studies (A. Pajak), Jagellonian University Collegium Medicum, Krakow, Poland; Institute of Internal and Preventive Medicine Siberian Branch under the Russian Academy of Medical Sciences (S.M., S.S.), Novosibirsk; Novosibirsk State Medical University (S.M.), Novosibirsk, Russia; and INSERM (A.S.-M.), U1018, Hopital Paul Brousse, Villejuif, France
| | - Hynek Pikhart
- From the Department of Epidemiology & Public Health (P.H., H.P., A. Peasey, M.G.M., A.S.-M., M.B.), and MRC Unit for Lifelong Health and Ageing at UCL (M.R.), University College London, UK; National Institute of Public Health (R.K.), Prague, Czech Republic; Department of Epidemiology and Population Studies (A. Pajak), Jagellonian University Collegium Medicum, Krakow, Poland; Institute of Internal and Preventive Medicine Siberian Branch under the Russian Academy of Medical Sciences (S.M., S.S.), Novosibirsk; Novosibirsk State Medical University (S.M.), Novosibirsk, Russia; and INSERM (A.S.-M.), U1018, Hopital Paul Brousse, Villejuif, France
| | - Anne Peasey
- From the Department of Epidemiology & Public Health (P.H., H.P., A. Peasey, M.G.M., A.S.-M., M.B.), and MRC Unit for Lifelong Health and Ageing at UCL (M.R.), University College London, UK; National Institute of Public Health (R.K.), Prague, Czech Republic; Department of Epidemiology and Population Studies (A. Pajak), Jagellonian University Collegium Medicum, Krakow, Poland; Institute of Internal and Preventive Medicine Siberian Branch under the Russian Academy of Medical Sciences (S.M., S.S.), Novosibirsk; Novosibirsk State Medical University (S.M.), Novosibirsk, Russia; and INSERM (A.S.-M.), U1018, Hopital Paul Brousse, Villejuif, France
| | - M G Marmot
- From the Department of Epidemiology & Public Health (P.H., H.P., A. Peasey, M.G.M., A.S.-M., M.B.), and MRC Unit for Lifelong Health and Ageing at UCL (M.R.), University College London, UK; National Institute of Public Health (R.K.), Prague, Czech Republic; Department of Epidemiology and Population Studies (A. Pajak), Jagellonian University Collegium Medicum, Krakow, Poland; Institute of Internal and Preventive Medicine Siberian Branch under the Russian Academy of Medical Sciences (S.M., S.S.), Novosibirsk; Novosibirsk State Medical University (S.M.), Novosibirsk, Russia; and INSERM (A.S.-M.), U1018, Hopital Paul Brousse, Villejuif, France
| | - Archana Singh-Manoux
- From the Department of Epidemiology & Public Health (P.H., H.P., A. Peasey, M.G.M., A.S.-M., M.B.), and MRC Unit for Lifelong Health and Ageing at UCL (M.R.), University College London, UK; National Institute of Public Health (R.K.), Prague, Czech Republic; Department of Epidemiology and Population Studies (A. Pajak), Jagellonian University Collegium Medicum, Krakow, Poland; Institute of Internal and Preventive Medicine Siberian Branch under the Russian Academy of Medical Sciences (S.M., S.S.), Novosibirsk; Novosibirsk State Medical University (S.M.), Novosibirsk, Russia; and INSERM (A.S.-M.), U1018, Hopital Paul Brousse, Villejuif, France
| | - Martin Bobak
- From the Department of Epidemiology & Public Health (P.H., H.P., A. Peasey, M.G.M., A.S.-M., M.B.), and MRC Unit for Lifelong Health and Ageing at UCL (M.R.), University College London, UK; National Institute of Public Health (R.K.), Prague, Czech Republic; Department of Epidemiology and Population Studies (A. Pajak), Jagellonian University Collegium Medicum, Krakow, Poland; Institute of Internal and Preventive Medicine Siberian Branch under the Russian Academy of Medical Sciences (S.M., S.S.), Novosibirsk; Novosibirsk State Medical University (S.M.), Novosibirsk, Russia; and INSERM (A.S.-M.), U1018, Hopital Paul Brousse, Villejuif, France
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Wium-Andersen MK, Orsted DD, Tolstrup JS, Nordestgaard BG. Increased alcohol consumption as a cause of alcoholism, without similar evidence for depression: a Mendelian randomization study. Int J Epidemiol 2014; 44:526-39. [DOI: 10.1093/ije/dyu220] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/23/2014] [Indexed: 02/03/2023] Open
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