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Mazumder AH, Barnett JH, Halt AH, Taivalantti M, Kerkelä M, Järvelin MR, Veijola J. Visual memory and alcohol use in a middle-aged birth cohort. BMC Public Health 2024; 24:788. [PMID: 38481169 PMCID: PMC10935933 DOI: 10.1186/s12889-024-18153-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Accepted: 02/19/2024] [Indexed: 03/17/2024] Open
Abstract
Light and moderate alcohol use has been reported to be associated with both impaired and enhanced cognition. The purpose of this study was to explore whether there was a linear relationship between visual memory and alcohol consumption in males and females in a large middle-aged birth cohort population in cross-sectional and longitudinal settings. Data were collected from 5585 participants completing 31-year (1997-1998) and 46-year (2012-2014) follow-ups including Paired Associate Learning (PAL) test at 46-years follow-up. The participants were originally from 12,231 study population of the Northern Finland Birth Cohort 1966 (NFBC1966). The PAL test was conducted to assess visual memory. Reported alcohol use was measured as total daily use of alcohol, beer, wine, and spirits converted into grams and as frequency and amount of use of beer, wine, and spirits. The total daily alcohol use was not associated with reduced visual memory. The frequency of use of beer and wine in males was associated with better visual memory in cross-sectional and longitudinal settings. Using six or more servings of spirits was associated with worse visual memory in males in cross-sectional and longitudinal settings. Using six or more servings of spirits was associated with worse visual memory in males in cross-sectional and longitudinal setting. The study suggested a lack of a linear association between drinking and visual memory in the middle-aged population.
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Affiliation(s)
- Atiqul Haq Mazumder
- Department of Psychiatry, Research Unit of Clinical Medicine, Faculty of Medicine, University of Oulu, Oulu, Finland.
- Department of Psychiatry, Turku Psychosis and Substance Use (TuPSU), University of Turku, Turku, Finland.
| | | | - Anu-Helmi Halt
- Department of Psychiatry, Research Unit of Clinical Medicine, Faculty of Medicine, University of Oulu, Oulu, Finland
- Medical Research Centre Oulu, University Hospital of Oulu and University of Oulu, and Department of Psychiatry, University Hospital of Oulu, Oulu, Finland
| | - Marjo Taivalantti
- Department of Psychiatry, Research Unit of Clinical Medicine, Faculty of Medicine, University of Oulu, Oulu, Finland
- Medical Research Centre Oulu, University Hospital of Oulu and University of Oulu, and Department of Psychiatry, University Hospital of Oulu, Oulu, Finland
| | - Martta Kerkelä
- Department of Psychiatry, Research Unit of Clinical Medicine, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Marjo-Riitta Järvelin
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
- Department of Epidemiology and Biostatistics, MRC Health Protection Agency (HPE), Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Unit of Primary Care, Oulu University Hospital, Oulu, Finland
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, Uxbridge, UK
| | - Juha Veijola
- Department of Psychiatry, Research Unit of Clinical Medicine, Faculty of Medicine, University of Oulu, Oulu, Finland
- Medical Research Centre Oulu, University Hospital of Oulu and University of Oulu, and Department of Psychiatry, University Hospital of Oulu, Oulu, Finland
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Tian YM, Zhang WS, Jiang CQ, Zhu F, Jin YL, Zhu T, Cheng KK, Xu L. Association of alcohol use with memory decline in middle-aged and older Chinese: a longitudinal cohort study. BMC Psychiatry 2022; 22:673. [PMID: 36320000 PMCID: PMC9623936 DOI: 10.1186/s12888-022-04298-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 10/10/2022] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND Previous studies on associations of alcohol use with memory decline showed inconclusive results. We examined these associations using longitudinal data from the Guangzhou Biobank Cohort Study (GBCS) and explored whether these associations varied by sex and age group. METHODS Memory function was assessed by delayed 10-word recall test (DWRT) and immediate 10-word recall test (IWRT) at both baseline (2003-2008) and follow-up (2008-2012) examinations, expressed as the mean annual change and mean annual rate of change in scores. Memory cognitive impairment was defined by DWRT scores of less than 4. Multivariable linear regression models and restricted cubic spline were used for data analysis. RESULTS Of 14,827 participants without memory cognitive impairment at baseline, 90.2% were never or occasional drinkers, 5% moderate drinkers, 1.5% excessive drinkers, and 3.3% former drinkers. The mean (standard deviation) age was 60.6 (6.6) years old. During an average of 4.1 years follow-up, 1000 (6.7%) participants developed memory cognitive impairment. After adjusting for confounders, compared with never or occasional drinkers, moderate and excessive drinkers had significant decline in DWRT scores (β, 95% confidence interval (CI) = -0.04 (-0.08 to -0.01), and - 0.07 (-0.14 to 0.01), respectively), and IWRT scores (β, 95% CI = -0.10 (-0.19 to -0.01), and - 0.15 (-0.30 to 0.01), respectively) annually. With respect to the mean annual rate of change, moderate and excessive drinkers also showed greater decline in DWRT scores (β, 95% CI = -1.02% (-1.87% to -0.16%), and - 1.64% (-3.14% to -0.14%), respectively). The associations did not vary by sex and age group (all P values for interaction ≥ 0.10). CONCLUSION Compared to never or occasional alcohol use, moderate and excessive alcohol users had greater memory decline and the associations did not vary by sex and age group.
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Affiliation(s)
- Yu Meng Tian
- grid.12981.330000 0001 2360 039XSchool of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Guangzhou, Guangdong Province China
| | - Wei Sen Zhang
- Guangzhou Twelfth People's Hospital, 510620, Guangzhou, China.
| | | | - Feng Zhu
- Guangzhou Twelfth People’s Hospital, 510620 Guangzhou, China
| | - Ya Li Jin
- Guangzhou Twelfth People’s Hospital, 510620 Guangzhou, China
| | - Tong Zhu
- Guangzhou Twelfth People’s Hospital, 510620 Guangzhou, China
| | - Kar Keung Cheng
- grid.6572.60000 0004 1936 7486Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Lin Xu
- School of Public Health, Sun Yat-sen University, 74 Zhongshan 2nd Road, Guangzhou, Guangdong Province, China. .,School of Public Health, the University of Hong Kong, Hong Kong, China. .,Institute of Applied Health Research, University of Birmingham, Birmingham, UK.
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Wu F, Cai J, Wen C, Tan H. Co-sparse Non-negative Matrix Factorization. Front Neurosci 2022; 15:804554. [PMID: 35095402 PMCID: PMC8790575 DOI: 10.3389/fnins.2021.804554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 11/29/2021] [Indexed: 02/05/2023] Open
Abstract
Non-negative matrix factorization, which decomposes the input non-negative matrix into product of two non-negative matrices, has been widely used in the neuroimaging field due to its flexible interpretability with non-negativity property. Nowadays, especially in the neuroimaging field, it is common to have at least thousands of voxels while the sample size is only hundreds. The non-negative matrix factorization encounters both computational and theoretical challenge with such high-dimensional data, i.e., there is no guarantee for a sparse and part-based representation of data. To this end, we introduce a co-sparse non-negative matrix factorization method to high-dimensional data by simultaneously imposing sparsity in both two decomposed matrices. Instead of adding some sparsity induced penalty such as l 1 norm, the proposed method directly controls the number of non-zero elements, which can avoid the bias issues and thus yield more accurate results. We developed an alternative primal-dual active set algorithm to derive the co-sparse estimator in a computationally efficient way. The simulation studies showed that our method achieved better performance than the state-of-art methods in detecting the basis matrix and recovering signals, especially under the high-dimensional scenario. In empirical experiments with two neuroimaging data, the proposed method successfully detected difference between Alzheimer's patients and normal person in several brain regions, which suggests that our method may be a valuable toolbox for neuroimaging studies.
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Affiliation(s)
- Fan Wu
- International Institute of Finance, School of Management, University of Science and Technology of China, Hefei, China
| | - Jiahui Cai
- Department of Preventive Medicine, Shantou University Medical College, Shantou, China
| | - Canhong Wen
- International Institute of Finance, School of Management, University of Science and Technology of China, Hefei, China
| | - Haizhu Tan
- Department of Preventive Medicine, Shantou University Medical College, Shantou, China
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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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The Effects of Light-to-Moderate Alcohol Consumption on the Cognitive Function of Community Nondemented Male Elderly: A Cohort Study. Behav Neurol 2021; 2021:5681913. [PMID: 33833827 PMCID: PMC8018835 DOI: 10.1155/2021/5681913] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2020] [Revised: 01/23/2021] [Accepted: 02/23/2021] [Indexed: 11/18/2022] Open
Abstract
Aim To investigate the effects of light-to-moderate drinking on the cognitive function of the elderly in a large elderly community cohort. Although heavy drinking is linked with impaired brain functions, the effects of light-to-moderate drinking on the cognitive function of the elderly are still controversial. Methods A total of 1469 nondemented elderly men from 15 research centers in 8 cities and provinces were included and divided into two groups: drinking (531 subjects) and nondrinking (938 subjects). Cognitive functions were assessed by the Beijing version of the Montreal Cognitive Assessment (MoCA) at baseline and one-year follow-up. Results There was no difference in total cognitive scores between the light-to-moderate drinking and nondrinking groups at baseline and follow-up. Nonalcohol users performed better naming and abstraction function at baseline and better naming function at follow-up. There was no difference in cognitive performance decline and new-onset dementia rates at follow-up. Conclusions Light-to-moderate alcohol consumption had no significant impact on the overall cognitive function and the risk of dementia in elderly men.
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Nie J, Qiu Q, Phillips M, Sun L, Yan F, Lin X, Xiao S, Li X. Early Diagnosis of Mild Cognitive Impairment Based on Eye Movement Parameters in an Aging Chinese Population. Front Aging Neurosci 2020; 12:221. [PMID: 32848703 PMCID: PMC7405864 DOI: 10.3389/fnagi.2020.00221] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Accepted: 06/22/2020] [Indexed: 01/04/2023] Open
Abstract
Background: The pathogenesis of dementia often starts several years prior to clinical onset during which the individual is asymptomatic. Existing strategies for the accurate diagnosis of early dementia are limited by high cost and the invasive nature of the procedures. Eye movement parameters associated with cognitive functions may be helpful in the early identification of dementia and in the development and evaluation of preventive and therapeutic strategies. Objective: We aimed to assess differences in eye movement parameters between healthy elderly individuals and patients with mild cognitive impairment (MCI). Furthermore, we examined the correlations between eye movement parameters with cognitive functions and specific hemispheric region and neural structures in individuals with MCI. Method: Eighty individuals with MCI without dementia (based on DSM-IV criteria) identified by community screening and 170 healthy controls were administered Chinese versions of MoCA and NTB, and a long (20 min) or short (5 min) version of a visual paired comparison (VPC) task. Two weeks later, 44 MCI patients and 107 healthy controls completed a retest of the VPC task, 44 MCI patients and 43 healthy controls among them administered a MRI. At the end of 1-year follow-up, a subset of 26 individuals with MCI and 57 healthy controls were administered the long version of VPC task and MoCA test again. Eye movement parameters and the relationship of eye movement parameters with cognitive functions and with changes in neural structures were compared between groups. Results: Patients with MCI were older, had less education, and had lower scores on cognitive tests than healthy controls. After adjustment for age and level of education, patients with MCI had lower novelty preference scores on the VPC than healthy controls. Using the logistic regression model, the amount of time that subjects focused on these novel images could predict MCI patients from normal elderly with an out of sample area under the receiver operator characteristic curve of 0.62. Furthermore, the cognition score of subjects whose novelty preference score was low decreased more remarkably in 1 year. For both the patient and control groups, VPC novelty preference was significantly correlated with verbal fluency and delayed and short-term memory function. Novelty preference score was also significantly correlated with the cortical thickness of several structures in the right hemisphere. Conclusion: Eye movement parameters are stable indicators to distinguish patients with MCI and cognitively normal subjects and are not affected by different testing versions and numbers. Additionally, the patients’ cognitive deficits and eye movement indices were correlated. Future longitudinal studies should further explore the clinical utility of eye movement parameters as early markers of MCI.
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Affiliation(s)
- Jing Nie
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qi Qiu
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Michael Phillips
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Departments of Psychiatry and Epidemiology, Columbia University, New York, NY, United States
| | - Lin Sun
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Feng Yan
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiang Lin
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shifu Xiao
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xia Li
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Siddiquee AT, Kadota A, Fujiyoshi A, Miyagawa N, Saito Y, Suzuki H, Kondo K, Yamauchi H, Ito T, Segawa H, Tooyama I, Miura K, Ueshima H. Alcohol consumption and cognitive function in elderly Japanese men. Alcohol 2020; 85:145-152. [PMID: 31923561 DOI: 10.1016/j.alcohol.2020.01.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Revised: 12/07/2019] [Accepted: 01/02/2020] [Indexed: 02/06/2023]
Abstract
Although heavy alcohol consumption has been identified as a risk factor for adverse cognitive functioning, it currently remains unclear whether moderate alcohol consumption exerts similar effects. Observational studies previously reported the potential benefits of moderate alcohol consumption on cognition, particularly in the elderly; however, these effects have not yet been demonstrated in Asian populations. The aim of the present study was to investigate the relationship between alcohol consumption levels and global and domain-specific cognitive functions in cognitively intact elderly Japanese men. Cross-sectional data from the Shiga Epidemiological Study of Subclinical Atherosclerosis (SESSA), an ongoing prospective, population-based study in Shiga, Japan, were used to examine the relationship between alcohol consumption and cognitive function. Men (n = 585) aged ≥65 years provided information on their weekly consumption of alcohol, and the data obtained were used to construct categories of never, ex- (quit before interview), very light (<14 g/day), light (14-23 g/day), moderate (>23-46 g/day), and heavy (>46 g/day) drinkers. Cognitive function was measured using the Cognitive Abilities Screening Instrument (CASI). A fractional logistic regression model adjusted for age, education, body mass index, smoking, exercise, hypertension, diabetes, and dyslipidemia showed that the CASI scores for global and domain-specific cognitive functions were not significantly different between all subgroups of current drinkers and never-drinkers. However, the CASI score of ex-drinkers (multivariable adjusted mean CASI score [SD]) was significantly lower than that of never-drinkers in the global [never vs. ex: 90.16 (2.21) vs. 88.26 (2.58)] and abstraction and judgment domain [never vs. ex: 9.48 (0.46) vs. 8.61 (0.57)]). The present results do not suggest any beneficial or adverse relationship between current alcohol consumption levels and cognitive functioning (both global and domain specific) in elderly Japanese men; however, low cognitive function among ex-drinkers warrants future investigations to identify the factors causing drinkers to quit.
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