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Altieri M, Maggi G, Giacobbe C, Santangelo G. Psychometric properties and normative data of the Italian version of the Cognitive Function at Work Questionnaire: a screening tool for detecting subjective cognitive complaints at work. Neurol Sci 2024; 45:2593-2603. [PMID: 38155286 DOI: 10.1007/s10072-023-07265-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 12/12/2023] [Indexed: 12/30/2023]
Abstract
INTRODUCTION Considering the extension of working life due to socioeconomic and political factors, many people may experience cognitive complaints (CC) at their workplace, with severe consequences on their quality of life. The identification of workers reporting significative SCC is crucial to eventually address them to an objective neuropsychological evaluation and implement cognitive interventions to guarantee workers' well-being. Since no Italian questionnaires for detecting CC were designed for occupational settings, the aim of the study was to validate the Italian version of the Cognitive Function at Work Questionnaire (CFWQ) and to provide its normative data. MATERIALS AND METHODS Internal consistency, convergent and divergent validity, and factorial structure of the CFWQ were evaluated. A regression-based procedure served to compute percentiles of CFWQ and its subscales. RESULTS Four hundred twenty-one participants without psychiatric and/or neurological disorders completed the survey. We found that the Italian CFWQ included 26 items, with a good internal consistency (Cronbach's alpha = 0.897) and a six-factor structure (memory, language, processing speed, abstract thinking/behavioral control, behavioral inertia, planning ability). CFWQ score did not correlate with empathy but correlated strongly with memory scores and moderately with anxiety and depression scores. CONCLUSIONS The Italian CFWQ showed good psychometric properties, in analogy with the original English scale. Therefore, it can be successfully employed in organizational contexts to possibly identify workers with CC and therefore with possible co-occurrent psychological, behavioral, and cognitive consequences.
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Affiliation(s)
- Manuela Altieri
- Department of Psychology, University of Campania "Luigi Vanvitelli", Caserta, Italy
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Gianpaolo Maggi
- Department of Psychology, University of Campania "Luigi Vanvitelli", Caserta, Italy
| | - Chiara Giacobbe
- Department of Psychology, University of Campania "Luigi Vanvitelli", Caserta, Italy
| | - Gabriella Santangelo
- Department of Psychology, University of Campania "Luigi Vanvitelli", Caserta, Italy.
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Heikkinen AL, Hänninen T, Kuikka P, Akila R, Savolainen A, Valtonen T, Umer A, Lötjönen J, Hublin C, Remes AM, Paajanen T. The Cognitive Function at Work Questionnaire (CFWQ): A new scale for measuring cognitive complaints in occupational population. APPLIED NEUROPSYCHOLOGY. ADULT 2023; 30:649-660. [PMID: 34482772 DOI: 10.1080/23279095.2021.1970553] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Cognitive functioning is a relevant work and health related topic, however, validated methods to assess subjective cognitive complaints (SCC) at work are lacking. We introduce the Cognitive Function at Work Questionnaire (CFWQ) for measuring SCC in occupational settings. 1-year follow-up data of 418 employees from a Finnish public media service company was analyzed. Participants completed web-based CFWQ, cognitive tests and a broad set of questionnaires for evaluating depression, anxiety, insomnia, daytime sleepiness, burnout, stress, mental job burden, work ability, cognitive errors, and perceived health. The factor analysis yielded a model with the CFWQ subdomains: Memory, Language, Executive Function, Speed of Processing, Cognitive Control and Name Memory. The internal consistency (Cronbach's alpha = .87) and the test-retest constancy (ICC = .84) reflected good reliability. Correlation between the CFWQ and cognitive errors at work ranged from .25 to .64 indicating adequate concurrent validity. Employees with depression, insomnia and burnout symptoms had higher (p < .001) CFWQ scores than participants without these symptoms. Depression and burnout symptom severity as well as accumulation of mood, sleep, and psychosocial stressors were associated with higher CFWQ scores (p < .001 in all). The CFWQ appears psychometrically sound measure for the assessment of SCC in occupational population.
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Affiliation(s)
- Anna-Leena Heikkinen
- Research Unit of Clinical Neuroscience, Neurology, University of Oulu, Oulu, Finland
- Work Ability and Working Careers, Finnish Institute of Occupational Health, Helsinki, Finland
- MRC, Oulu University Hospital, Oulu, Finland
| | - Tuomo Hänninen
- Neurology, Neurocenter, Kuopio University Hospital, Kuopio, Finland
| | - Pekka Kuikka
- Work Ability and Working Careers, Finnish Institute of Occupational Health, Helsinki, Finland
| | - Ritva Akila
- Work Ability and Working Careers, Finnish Institute of Occupational Health, Helsinki, Finland
| | - Aslak Savolainen
- Occupational Health Services, Finnish Broadcasting Company, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Teppo Valtonen
- Work Ability and Working Careers, Finnish Institute of Occupational Health, Helsinki, Finland
| | - Adil Umer
- VTT Technical Research Centre of Finland Ltd, Tampere, Finland
| | | | - Christer Hublin
- Work Ability and Working Careers, Finnish Institute of Occupational Health, Helsinki, Finland
| | - Anne M Remes
- Research Unit of Clinical Neuroscience, Neurology, University of Oulu, Oulu, Finland
- MRC, Oulu University Hospital, Oulu, Finland
| | - Teemu Paajanen
- Work Ability and Working Careers, Finnish Institute of Occupational Health, Helsinki, Finland
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Emerging Issues in Occupational Disease: Mental Health in the Aging Working Population and Cognitive Impairment-A Narrative Review. BIOMED RESEARCH INTERNATIONAL 2020; 2020:1742123. [PMID: 32083124 PMCID: PMC7011340 DOI: 10.1155/2020/1742123] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/18/2019] [Accepted: 01/07/2020] [Indexed: 12/29/2022]
Abstract
Cognitive impairment has often been reported in scientific literature as a concern derived from chronic exposure to work-related stress. Organizational factors can contribute to the onset of this concern especially in a susceptible population such as elderly workers. The aim of our study was to review the last five years of scientific literature, focusing on experimental and epidemiological studies, possible mechanisms implicated in the onset of cognitive decline due to work-related stress, and the recent organizational strategies to prevent detrimental effects of stress on cognitive processes. A literature search was performed in scientific platforms Medline and Web of Science, by means of specific string search terms, restricting the search to the years of publication 2014-2019. Thirty-three articles were identified and qualitatively evaluated, reporting narratively the main point of interest. At this stage, six articles were excluded because they did not meet the inclusion criteria. Only a few articles considered the population of the elderly workers, often with a short follow-up period. Strategies to manage stress with organizational procedures are scarce. Mechanisms implicated in the development of cognitive impairment due to stress are not fully explained and seem to include a chronical decrease in the inhibitory process of neurological pathways. Further research that focused on strategies to manage stress in elderly workers, with the aim of preventing cognitive impairment processes, is warranted.
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Hao L, Xing Y, Li X, Mu B, Zhao W, Wang G, Wang T, Jia J, Han Y. Risk Factors and Neuropsychological Assessments of Subjective Cognitive Decline ( plus) in Chinese Memory Clinic. Front Neurosci 2019; 13:846. [PMID: 31474820 PMCID: PMC6702310 DOI: 10.3389/fnins.2019.00846] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2019] [Accepted: 07/30/2019] [Indexed: 01/22/2023] Open
Abstract
Background Since subjective cognitive decline (SCD) was standardized in 2014, many studies have investigated its features. However, the risk of SCD (plus) progressing to AD is much higher, and yet there have been few studies reporting the risk factors and neuropsychological assessment characteristics of SCD (plus). Objective To characterize SCD (plus) by comparing it with normal control (NC), amnesic mild cognitive impairment (aMCI), and Alzheimer Disease (AD) regarding their demographics, lifestyle, family history of dementia, multimorbidity and the neuropsychological assessments. Methods A total of 135 participants were recruited, including 23 NC, 30 SCD (plus), 45 aMCI and 37 AD. Descriptive statistics were provided. A logistic regression model was used to analyze the affecting factors of SCD (plus), and finally the Receiver Operating Characteristic (ROC) analysis was applied to distinguish between SCD (plus) and NC. Results (1) SCD (plus) group was younger than both the aMCI group and AD group. It consisted of more participants with mental work and higher body mass index (BMI) than the AD group. (2) Scores of Auditory Verbal Learning Test - Immediate recall (AVLT-IR) and AVLT-Long delayed recall (AVLT-LR) decreased in the following order: NC→SCD (plus)→aMCI→AD. (3) The Area Under Curve (AUC) for discriminating SCD (plus) and NC group was from 0.673 to 0.838. Conclusion Aging is an important risk factor of both NC progressing to SCD (plus), and SCD (plus) progressing to aMCI or AD. In addition to aging, lower education level and lower BMI were significantly associated with greater odds of SCD (plus) progressing to aMCI or AD patients, whereas mental work was a protective factor of SCD (plus) progressing to AD. Finally, AVLT is a sensitive indicator of the cognitive decline and impairment in SCD (plus) in relative to normal controls.
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Affiliation(s)
- Lixiao Hao
- Department of Geriatrics, Xuanwu Hospital of Capital Medical University, Beijing, China.,Department of General Practice, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Yue Xing
- Radiological Sciences, Division of Clinical Neuroscience, Queen's Medical Centre, The University of Nottingham, Nottingham, United Kingdom
| | - Xuanyu Li
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Bin Mu
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Weina Zhao
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.,Department of Neurology, Hongqi Hospital of Mudanjiang Medical University, Mudanjiang, China
| | - Gubing Wang
- Faculty of Industrial Design Engineering, Delft University of Technology, Delft, Netherlands
| | - Ting Wang
- Department of General Practice, School of General Practice and Continuing Education of Capital Medical University, Beijing, China
| | - Jianguo Jia
- Department of General Surgery, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Ying Han
- Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.,Beijing Institute of Geriatrics, Beijing, China.,National Clinical Research Center for Geriatric Disorders, Beijing, China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China
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Innes KE, Sambamoorthi U. The Association of Perceived Memory Loss with Osteoarthritis and Related Joint Pain in a Large Appalachian Population. PAIN MEDICINE 2019; 19:1340-1356. [PMID: 28525629 DOI: 10.1093/pm/pnx107] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Objective Previous studies have documented memory impairment in several chronic pain syndromes. However, the potential link between memory loss and osteoarthritis (OA), the second most common cause of chronic pain, remains little explored. In this cross-sectional study, we examine the association of perceived memory loss to OA and assess the potential mediating influence of sleep and mood disturbance in a large Appalachian population. Design Cross-sectional. Setting US Ohio Valley. Subjects A total of 21,982 Appalachian adults age 40 years or older drawn from the C8 Health Project (N = 19,004 adults without and 2,478 adults with OA). All participants completed a comprehensive health survey between 2005 and 2006. Medical history, including physician diagnosis of OA, lifestyle factors, short- and long-term memory loss, sleep quality, and mood were assessed via self-report. Results After adjustment for demographic, lifestyle, health-related, and other factors, participants with OA were almost three times as likely to report frequent memory loss (adjusted odds ratios [ORs] for short- and long-term memory loss, respectively = 2.7, 95% confidence interval [CI] = 2.2-3.3, and 2.6, 95% CI = 2.0-3.3). The magnitude of these associations increased significantly with rising frequency of reported joint pain (adjusted OR for OA with frequent joint pain vs no OA = 3.3, 95% CI = 2.6-4.1, Ptrend < 0.00001). Including measures of mood and sleep impairment attenuated but did not eliminate these associations (ORs for any memory loss = 2.0, 95% CI = 1.6-2.4, and 2.1, 95% CI = 1.7-2.8, adjusted for sleep and mood impairment, respectively; OR = 1.8, 95% CI = 1.4-2.2, adjusted for both factors). Conclusions In this large cross-sectional study, OA and related joint pain were strongly associated with perceived memory loss; these associations may be partially mediated by sleep and mood disturbance.
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Affiliation(s)
- Kim E Innes
- Department of Epidemiology, West Virginia School of Public Health
| | - Usha Sambamoorthi
- Department of Pharmaceutical Systems and Policy, West Virginia School of Pharmacy
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Halder S, Mahato A. Identifying multiple domain memory impairment in high-risk group for Alzheimer's disorder. JOURNAL OF GERIATRIC MENTAL HEALTH 2019. [DOI: 10.4103/jgmh.jgmh_4_19] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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Hergenrather KC, Emmanuel D, McGuire-Kuletz M, Rhodes SD. Employment as a Social Determinant of Health: Exploring the Relationship Between Neurocognitive Function and Employment Status. REHABILITATION RESEARCH, POLICY, AND EDUCATION 2018. [DOI: 10.1891/2168-6653.32.2.101] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Purpose:To explore employment as a social determinant of health through examining the relationship between neurocognitive function and employment status.Method:The authors explored the causal relationship between employment status and neurocognitive function by conducting a systematic review of 15 longitudinal studies. The identified studies were conducted in Australia, Denmark, Norway, and the United States.Results:Five neurocognitive function domains were identified (i.e., complex attention, executive function, learning and memory, language, perceptual-motor function) across diagnosis (i.e., bipolar disorder, first-episode psychosis, human immunodeficiency virus, major depression, schizophrenia-spectrum disorders, traumatic brain injury). Unemployment was correlated with poorer attention, executive function, learning and memory, perceptual-motor function, and language. Employment was correlated with better attention, executive function, learning and memory, perceptual-motor function.Conclusion:The acknowledgment of the relationship between neurocognitive function and employment status can assist service providers in assessing and developing strategies to enhance and maintain employment outcomes. The assessment of neurocognitive function could be further explored by identifying standard measures and assessment timelines to assess the six domains across diagnosis. Vocational rehabilitation services could integrate cognitive interventions (cognitive rehabilitation, cognitive enhancement therapy, cognitive remediation) to explore the effect on neurocognitive function and employment outcomes. Further longitudinal research studies are needed, for both persons with disabilities and persons without disabilities, to elucidate the relationship between employment status and neurocognitive function.
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Hao L, Wang X, Zhang L, Xing Y, Guo Q, Hu X, Mu B, Chen Y, Chen G, Cao J, Zhi X, Liu J, Li X, Yang L, Li J, Du W, Sun Y, Wang T, Liu Z, Liu Z, Zhao X, Li H, Yu Y, Wang X, Jia J, Han Y. Prevalence, Risk Factors, and Complaints Screening Tool Exploration of Subjective Cognitive Decline in a Large Cohort of the Chinese Population. J Alzheimers Dis 2018; 60:371-388. [PMID: 28869471 DOI: 10.3233/jad-170347] [Citation(s) in RCA: 54] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND Substantial studies have reported the prevalence and the affecting factors of subjective cognitive decline (SCD). The complaints screening scale has also been used for probing. However, little is known in China. OBJECTIVE To investigate the prevalence and risk factors of SCD, and explore an SCD complaints screening scale in China. METHODS Stratified cluster random sampling was conducted. 2,689 residents aged 60-80 years completed questionnaire 1. 814 residents were included for clinical and neuropsychological evaluations. Two standards were used to make the diagnosis of mild cognitive impairment (MCI) and SCD, and a preliminary screening rate comparison was carried out. Finally, we assessed the risk factors of SCD and the correlation between the SCD-questionnaire 9 (SCD-Q9) and the Auditory Verbal Learning Test-Long Delay Free Recall (AVLT-LR). RESULTS 1) Standard 1 (ADNI2): the prevalence of SCD was 18.8% (95% CI = 14.7-22.9%) and zero conformed to six criteria (SCD plus). 2) Standard 2 (Jak/Bondi): the prevalence of SCD was 14.4% (95% CI = 10.7-18.1%). 3) Standard 1 had a relatively higher "false" positive rate, whereas Standard 2 had higher "false" negative rate. 4) Age, low education, fewer close friends, and daily drinking were independent risk factors for SCD progressing to MCI. 5) Total points of SCD-Q9 were negatively correlated to the value of AVLT-LR. CONCLUSIONS The prevalence of SCD is high in the ShunYi District in Beijing, China. Age, low education, less social support, and daily drinking are independent risk factors. The brief SCD-Q9 can be used as a reference.
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Affiliation(s)
- Lixiao Hao
- Department of General Practice, School of General Practice and Continuing Education of Capital Medical University, Beijing, China
| | - Xiaoni Wang
- Department of Neurology, XuanWu Hospital of Capital Medical University, Beijing, China
| | - Ling Zhang
- Department of Epidemiology and Health Statistics, School of Public Health of Capital Medical University, Beijing, China
| | - Yue Xing
- Radiological Sciences, Division of Clinical Neuroscience, Queen's Medical Centre, University of Nottingham, Nottingham, UK.,Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, Nottingham, UK
| | - Qihao Guo
- Department of Neurology, Huashan Hospital of Fudan University, Shanghai, China
| | - Xiaochen Hu
- Department of Psychiatry and Psychotherapy, Medical Faculty, University of Cologne, Cologne, Germany
| | - Bin Mu
- Department of Neurology, XuanWu Hospital of Capital Medical University, Beijing, China
| | - Yili Chen
- Department of Neurology, Dali People's Hospital, Yunnan, China
| | - Guanqun Chen
- Department of Neurology, XuanWu Hospital of Capital Medical University, Beijing, China
| | - Jing Cao
- Department of Neurology, Hong Xinglong Center Hospital, Heilongjiang, China
| | - Xiaodong Zhi
- Department of Neurology, Lanzhou General Hospital of Lanzhou Military Command, Gansu, China
| | - Jiaojiao Liu
- Department of Radiology, Youan Hospital of Capital Medical University, Beijing, China
| | - Xuanyu Li
- Department of Neurology, XuanWu Hospital of Capital Medical University, Beijing, China
| | - Liu Yang
- Department of Neurology, XuanWu Hospital of Capital Medical University, Beijing, China
| | - Jiachen Li
- Department of Neurology, XuanWu Hospital of Capital Medical University, Beijing, China
| | - Wenying Du
- Department of Neurology, XuanWu Hospital of Capital Medical University, Beijing, China
| | - Yu Sun
- Department of Neurology, XuanWu Hospital of Capital Medical University, Beijing, China
| | - Ting Wang
- Department of General Practice, School of General Practice and Continuing Education of Capital Medical University, Beijing, China
| | - Zhen Liu
- Department of General Practice, XuanWu Hospital of Capital Medical University, Beijing, China
| | - Zheng Liu
- Department of Epidemiology and Health Statistics, School of Public Health of Capital Medical University, Beijing, China
| | - Xuexue Zhao
- Department of General Practice, School of General Practice and Continuing Education of Capital Medical University, Beijing, China
| | - Hongyan Li
- Department of Neurology, Civil Aviation General Hospital, Beijing, China
| | - Yang Yu
- Department of Neurology, Hongqi Hospital of Mudanjiang Medical University, Heilongjiang, China
| | - Xue Wang
- Department of Library, XuanWu Hospital of Capital Medical University, Beijing, China
| | - Jianguo Jia
- Department of General Surgery, XuanWu Hospital of Capital Medical University, Beijing, China
| | - Ying Han
- Department of Neurology, XuanWu Hospital of Capital Medical University, Beijing, China.,Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Institute of Geriatrics, Beijing, China.,National Clinical Research Center for Geriatric Disorders, Beijing, China.,PKU Care Rehabilitation Hospital, Beijing, China
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Harper AM, Clayson L, Wardlaw JM, Valdés Hernández MDC. Considerations on accuracy, pattern and possible underlying factors of brain microbleed progression in older adults with absence or mild presence of vascular pathology. J Int Med Res 2018; 46:3518-3538. [PMID: 29578354 PMCID: PMC6135998 DOI: 10.1177/0300060518755623] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Objective To analyse brain microbleed (BMB) progression, its possible underlying factors, and the influence of inter-observer differences, in older individuals with none or mild vascular pathology. Methods This study analysed magnetic resonance images, cognitive, demographic and laboratory data from all individuals from the Alzheimer's Disease (AD) Neuroimaging Initiative database who had the required sequences for identifying BMBs over three consecutive years at the time the database was accessed (January 2016). BMBs were assessed independently by two observers with similar levels of experience. Results A total of 291 patients were included in the study. The number of individuals with BMBs and the number of BMBs per individual slightly and nonsignificantly increased across three consecutive years (Y1: 55/291 [19%]; Y2: 61/291 [21%]; Y3: 66/291 [23%]) with 1-2 BMBs and (Y1: 11/291 [4%]; Y2: 12/291 [4%]; Y3: 14/291 [5%]) with ≥ 3 BMBs. Both observers identified a similar pattern of BMB prevalence and progression in each cognitive group (normal < early/late mild cognitive impairment (MCI) > AD patients) despite inter-observer differences (1.5 BMBs, 95% confidence interval -3.7, 6.2], κ=0.543), which were mainly in the cortex. Serum cholesterol was the main predictor of change in BMB count between time-points but did not predict overall progression. Conclusions Inter-observer differences are always present and it is difficult to ascertain their influence in the analysis of BMB progression, which was observed in cognitively normal and MCI individuals, but not in AD patients. This should be confirmed in further studies.
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Affiliation(s)
- Alice M Harper
- 1 College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK
| | - Lauren Clayson
- 1 College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK
| | - Joanna M Wardlaw
- 2 Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.,3 Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.,4 UK Dementia Research Institute at The University of Edinburgh, Edinburgh, UK
| | - Maria Del C Valdés Hernández
- 2 Department of Neuroimaging Sciences, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.,3 Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.,4 UK Dementia Research Institute at The University of Edinburgh, Edinburgh, UK
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Hoogendijk EO, Deeg DJH, Poppelaars J, van der Horst M, Broese van Groenou MI, Comijs HC, Pasman HRW, van Schoor NM, Suanet B, Thomése F, van Tilburg TG, Visser M, Huisman M. The Longitudinal Aging Study Amsterdam: cohort update 2016 and major findings. Eur J Epidemiol 2016; 31:927-45. [PMID: 27544533 PMCID: PMC5010587 DOI: 10.1007/s10654-016-0192-0] [Citation(s) in RCA: 147] [Impact Index Per Article: 18.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2016] [Accepted: 08/13/2016] [Indexed: 12/14/2022]
Abstract
The Longitudinal Aging Study Amsterdam (LASA) is an ongoing longitudinal study of older adults in the Netherlands, which started in 1992. LASA is focused on the determinants, trajectories and consequences of physical, cognitive, emotional and social functioning. The study is based on a nationally representative sample of older adults aged 55 years and over. The findings of the LASA study have been reported in over 450 publications so far (see www.lasa-vu.nl ). In this article we describe the background and the design of the LASA study, and provide an update of the methods. In addition, we provide a summary of the major findings from the period 2011-2015.
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Affiliation(s)
- Emiel O Hoogendijk
- Department of Epidemiology and Biostatistics, EMGO + Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands.
| | - Dorly J H Deeg
- Department of Epidemiology and Biostatistics, EMGO + Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - Jan Poppelaars
- Department of Epidemiology and Biostatistics, EMGO + Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
- Department of Sociology, VU University, Amsterdam, The Netherlands
| | - Marleen van der Horst
- Department of Epidemiology and Biostatistics, EMGO + Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | | | - Hannie C Comijs
- Department of Psychiatry, EMGO + Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - H Roeline W Pasman
- Department of Public and Occupational Health, EMGO + Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - Natasja M van Schoor
- Department of Epidemiology and Biostatistics, EMGO + Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - Bianca Suanet
- Department of Sociology, VU University, Amsterdam, The Netherlands
| | - Fleur Thomése
- Department of Sociology, VU University, Amsterdam, The Netherlands
| | | | - Marjolein Visser
- Department of Health Sciences, Faculty of Earth and Life Sciences, EMGO + Institute for Health and Care Research, VU University, Amsterdam, The Netherlands
- Department of Internal Medicine, Nutrition and Dietetics, VU University Medical Center, Amsterdam, The Netherlands
| | - Martijn Huisman
- Department of Epidemiology and Biostatistics, EMGO + Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
- Department of Sociology, VU University, Amsterdam, The Netherlands
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