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Lin F, Wang L, Shi Y, Chen X, Lin Y, Zheng J, Chen K, Ye Q, Cai G. Association of Exposure to Ambient Air Pollutants With Cognitive Performance and Dementia Risk and the Mediating Role of Pulmonary Function: Evidence From the UK Biobank. J Gerontol A Biol Sci Med Sci 2024; 79:glae139. [PMID: 38784975 DOI: 10.1093/gerona/glae139] [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: 10/27/2023] [Indexed: 05/25/2024] Open
Abstract
BACKGROUND The pathways by which air pollution affects cognition remain to be explored. This study aimed to explore how single air pollutants [including nitrogen oxide (NOX), nitrogen dioxide (NO2), particulate matter with a diameter of 2.5 micrometers (PM2.5), PM10, and PM2.5-10], and air pollution mixture could affect cognitive function and the incidence of dementia, and determine whether pulmonary function (PF) could play a mediating role in the relationship. METHODS Multiple statistical methods were employed to evaluate association of 5 air pollutants (NOX, NO2, PM2.5, PM10, and PM2.5-10) with cognitive function. Bootstrap method was used to estimate mediating role of PF in the association of air pollutants with cognition or the incidence of dementia. RESULTS A mixture of air pollutants was associated with performance on 5 cognitive tests, and global cognition (p < .05). Significantly negative association was also identified between mixture of air pollutants and PF (β= -0.020, 95% confidence interval (CI) = -0.029 to -0.011). In addition, as PF scores increase, performance on all cognitive tests significantly improve, although the risk of dementia correspondingly decreases. It was noted that PF was shown to mediate the effects of air pollution mixtures on all cognitive tests as well as global cognition. For global cognition, PF mediated 6.08% of the association. PF was also found to have a mediating role in the association between NOX, NO2, PM2.5, and the risk of dementia. CONCLUSIONS Mixed air pollution may impact cognitive function, with PF potentially mediating this relationship.
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Affiliation(s)
- Fabin Lin
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, Fuzhou, China
- Department of Neurosurgery, Fujian Medical University Union Hospital, Fuzhou, China
| | - Lili Wang
- Department of Neurology, Shanghai Songjiang District Central Hospital, Shanghai, China
| | - Yisen Shi
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, Fuzhou, China
- Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, China
| | - Xuanjie Chen
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, Fuzhou, China
- Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, China
| | - Yixiang Lin
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, Fuzhou, China
- Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, China
| | - Jiayi Zheng
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, Fuzhou, China
- Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, China
| | - Ke Chen
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, Fuzhou, China
- Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, China
| | - Qinyong Ye
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, Fuzhou, China
- Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, China
| | - Guoen Cai
- Department of Neurology, Center for Cognitive Neurology, Institute of Clinical Neurology, Fujian Medical University Union Hospital, Fuzhou, China
- Fujian Key Laboratory of Molecular Neurology, Fujian Medical University, Fuzhou, China
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Ksinan AJ, Dalecká A, Court T, Pikhart H, Bobák M. Pulmonary function and trajectories of cognitive decline in aging population. Exp Gerontol 2024; 189:112386. [PMID: 38428543 DOI: 10.1016/j.exger.2024.112386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 02/21/2024] [Accepted: 02/23/2024] [Indexed: 03/03/2024]
Abstract
BACKGROUND The number of older people with cognitive impairment is increasing worldwide. Impaired lung function might be associated with cognitive decline in older age; however, results from large longitudinal studies are lacking. In this study, we examined the longitudinal associations between pulmonary function and the trajectories of cognitive decline using prospective population-based SHARE data from 14 countries. METHODS The analytic sample included N = 32,049 older adults (Mean age at baseline = 64.76 years). The dependent variable was cognitive performance, measured repeatedly across six waves in three domains: verbal fluency, memory, and numeracy. The main predictor of interest was peak expiratory flow (PEF). The data were analyzed in a multilevel accelerated longitudinal design, with models adjusted for a variety of covariates. RESULTS A lower PEF score was associated with lower cognitive performance for each domain as well as a lower global cognitive score. These associations remained statistically significant after adjusting for all covariates Q4 vs Q1 verbal fluency: unstandardized coefficient B = -3.15; numeracy: B = -0.52; memory: B = -0.64; global cognitive score B = -2.65, all p < .001). However, the PEF score was not found to be associated with the rate of decline for either of the cognitive outcomes. CONCLUSIONS In this large multi-national longitudinal study, the PEF score was independently associated with lower levels of cognitive functions, but it did not predict a future decline. The results suggest that pre-existing differences in lung functions are responsible for variability in cognitive functions and that these differences remained stable across aging.
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Affiliation(s)
- Albert J Ksinan
- RECETOX, Faculty of Science, Masaryk University, Brno, Czech Republic.
| | - Andrea Dalecká
- RECETOX, Faculty of Science, Masaryk University, Brno, Czech Republic
| | - Tatyana Court
- RECETOX, Faculty of Science, Masaryk University, Brno, Czech Republic
| | - Hynek Pikhart
- RECETOX, Faculty of Science, Masaryk University, Brno, Czech Republic; Department of Epidemiology & Public Health, University College London, Institute of Epidemiology and Health Care, London, UK
| | - Martin Bobák
- RECETOX, Faculty of Science, Masaryk University, Brno, Czech Republic; Department of Epidemiology & Public Health, University College London, Institute of Epidemiology and Health Care, London, UK
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Shrestha S, Zhu X, London SJ, Sullivan KJ, Lutsey PL, Windham BG, Griswold ME, Mosley TH. Association of Lung Function With Cognitive Decline and Incident Dementia in the Atherosclerosis Risk in Communities Study. Am J Epidemiol 2023; 192:1637-1646. [PMID: 37392093 DOI: 10.1093/aje/kwad140] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 03/28/2023] [Accepted: 06/13/2023] [Indexed: 07/02/2023] Open
Abstract
We examined the associations between lung function and incident dementia and cognitive decline in 12,688 participants in the ARIC Study who provided lung function measurements in 1990-1992. Cognitive tests were administered up to 7 times, and dementia was ascertained through 2019. We used shared parameter models to jointly fit proportional hazard models and linear mixed-effect models to estimate lung-function-associated dementia rate and cognitive change, respectively. Higher forced expiratory volume in 1 second (FEV1) and forced vital capacity (FVC) were associated with reduced dementia (n = 2,452 persons developed dementia); hazard ratios per 1-L increase in FEV1 and FVC were 0.79 (95% confidence interval (CI): 0.71, 0.89) and 0.81 (95% CI: 0.74, 0.89), respectively. Each 1-L increase in FEV1 and FVC was associated with a 0.08-standard deviation (SD) (95% CI: 0.05, 0.12) and a 0.05-SD (95% CI: 0.02, 0.07) attenuation of 30-year cognitive decline, respectively. A 1% increase in FEV1/FVC ratio was associated with 0.008-SD (95% CI: 0.004, 0.012) less cognitive decline. We observed statistical interaction between FEV1 and FVC, suggesting that cognitive declines depended on values of specific FEV1 and FVC (as compared with FEV1, FVC, or FEV1/FVC ratio models that suggested linear incremental associations). Our findings may have important implications for reducing the burden of cognitive decline that is attributable to environmental exposures and associated lung function impairment.
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Donahue PT, Xue QL, Carlson MC. Peak Expiratory Flow Predicts Incident Dementia in a Representative Sample of U.S. Older Adults: The National Health and Aging Trends Study (NHATS). J Gerontol A Biol Sci Med Sci 2023; 78:1427-1435. [PMID: 36524396 PMCID: PMC10395555 DOI: 10.1093/gerona/glac235] [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: 06/30/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Dementia is an increasingly important public health problem with various risk factors. Respiratory function, measured via peak expiratory flow (PEF), may be a modifiable dementia risk factor. METHODS We investigated the association between PEF and incident dementia in 5 935 older adults from the National Health and Aging Trends Study (NHATS) from 2011 to 2014. Baseline PEF, expressed as a standardized residual (SR) percentile, was analyzed as a predictor of incident dementia using discrete-time proportional hazards models, while controlling for several health and sociodemographic covariates. RESULTS After 14 332 person-years of follow-up, 9.0% (N = 536) had incident cases of dementia. Compared to the lowest PEF category (SR-percentile < 10%), the highest PEF category (SR-percentile ≥ 80%) had 49% lower risk of incident dementia (hazard ratio [HR] = 0.51; 95% confidence interval [CI; 0.37, 0.71]), and the second highest PEF category (SR-percentile 50%-80%) had 25% lower risk of incident dementia (HR = 0.75; 95% CI [0.56, 1.00]). A sensitivity analysis using multiple imputation to account for missing PEF measurements yielded similar associations with incident dementia. CONCLUSION These associations suggest a dose-dependent relationship such that higher PEF categories were more protective against incident dementia. PEF may be considered as an easily administered, low-cost measure of respiratory function and a potentially modifiable dementia risk factor. Improving PEF may reduce dementia risk through vascular mechanisms, such as increased brain oxygenation. Future research should explore potential causal pathways between PEF and dementia.
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Affiliation(s)
- Patrick T Donahue
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
- Center on Aging and Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Qian-Li Xue
- Center on Aging and Health, Johns Hopkins University, Baltimore, Maryland, USA
- Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Michelle C Carlson
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
- Center on Aging and Health, Johns Hopkins University, Baltimore, Maryland, USA
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Gullsvåg M, Rodríguez-Aranda C. Effects of verbal tasks with varying difficulty on real-time respiratory airflow during speech generation in healthy young adults. Front Psychol 2023; 14:1150354. [PMID: 37397319 PMCID: PMC10309038 DOI: 10.3389/fpsyg.2023.1150354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 05/16/2023] [Indexed: 07/04/2023] Open
Abstract
Objective Respiratory function is linked to sensory, affective, and cognitive processes and it is affected by environmental constraints such as cognitive demands. It is suggested that specific cognitive processes, such as working memory or executive functioning, may impact breathing. In turn, various lines of research have suggested a link between peak expiratory airflow (PEF) and cognitive function. However, there is scarce experimental support to the above assertions, especially regarding spoken language. Therefore, the present investigation aims to evaluate whether breathing varies as a function of performing verbal naming tasks with different difficulty levels. Methods Thirty healthy young adults, (age M = 25.37 years), participated in the study. Participants were required to perform aloud five verbal tasks ranged in order of difficulty: Reading single words, reading a text passage, object naming, semantic and phonemic fluency. A pneumotachograph mask was employed to acquire simultaneously the verbal responses, and three airflow parameters: Duration, peak, and volume at both stages of the respiratory cycle (i.e., inspiration/expiration). Data were analyzed with one-way repeated measures MANOVA. Results No significant differences were found between reading single words and object naming. In comparison, distinctive airflow requirements were found for reading a text passage, which were proportionally related to number of pronounced words. Though, the main finding of the study concerns the data on verbal fluency tasks, which not only entailed higher inhaled airflow resources but also a significant PEF. Conclusion Our data demonstrated that the most difficult tasks, namely semantic and phonemic verbal fluencies, relying on semantic search, executive function, and fast lexical retrieval of words were those requiring important amount of inhaled airflow and displaying a high peak expiratory airflow. The present findings demonstrated for the first time a direct association between complex verbal tasks and PEF. Inconclusive data related to object naming and reading single words are discussed in light of the methodological challenges inherent to the assessment of speech breathing and cognition in this line of investigation.
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Gross AL, Li C, Briceno EM, Rentería MA, Jones RN, Langa KM, Manly JJ, Nichols EL, Weir D, Wong R, Berkman L, Lee J, Kobayashi LC. Harmonization of Later-Life Cognitive Function Across National Contexts: Results from the Harmonized Cognitive Assessment Protocols (HCAPs). MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.06.09.23291217. [PMID: 37398152 PMCID: PMC10312860 DOI: 10.1101/2023.06.09.23291217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Background The Harmonized Cognitive Assessment Protocol (HCAP) is an innovative instrument for cross-national comparisons of later-life cognitive function, yet its suitability across diverse populations is unknown. We aimed to harmonize general and domain-specific cognitive scores from HCAPs across six countries, and evaluate precision and criterion validity of the resulting harmonized scores. Methods We statistically harmonized general and domain-specific cognitive function across the six publicly available HCAP partner studies in the United States, England, India, Mexico, China, and South Africa (N=21,141). We used an item banking approach that leveraged common cognitive test items across studies and tests that were unique to studies, as identified by a multidisciplinary expert panel. We generated harmonized factor scores for general and domain- specific cognitive function using serially estimated graded-response item response theory (IRT) models. We evaluated precision of the factor scores using test information plots and criterion validity using age, gender, and educational attainment. Findings IRT models of cognitive function in each country fit well. We compared measurement reliability of the harmonized general cognitive function factor across each cohort using test information plots; marginal reliability was high (r> 0·90) for 93% of respondents across six countries. In each country, general cognitive function scores were lower with older ages and higher with greater levels of educational attainment. Interpretation We statistically harmonized cognitive function measures across six large, population-based studies of cognitive aging in the US, England, India, Mexico, China, and South Africa. Precision of the estimated scores was excellent. This work provides a foundation for international networks of researchers to make stronger inferences and direct comparisons of cross-national associations of risk factors for cognitive outcomes. Funding National Institute on Aging (R01 AG070953, R01 AG030153, R01 AG051125, U01 AG058499; U24 AG065182; R01AG051158).
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Grenville J, Granell R, Dodd J. Lung function and cognitive ability in children: a UK birth cohort study. BMJ Open Respir Res 2023; 10:10/1/e001528. [PMID: 37130649 PMCID: PMC10163472 DOI: 10.1136/bmjresp-2022-001528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 03/10/2023] [Indexed: 05/04/2023] Open
Abstract
BACKGROUND Decreased adult lung function is associated with subsequent impairment in cognition. A similar relationship in early life could be of great policy importance, since childhood cognitive ability determines key adult outcomes, including socioeconomic status and mortality. We aimed to expand the very limited data available on this relationship in children, and hypothesised that reduced lung function would be longitudinally associated with decreased cognitive ability. METHODS Lung function was measured at age 8 (forced expiratory volume in one second (FEV1), forced vital capacity (FVC); % predicted), and cognitive ability was measured at ages 8 (Wechsler Intelligence Scale for Children, third edition) and 15 (Wechsler Abbreviated Scale of Intelligence), in the Avon Longitudinal Study of Parents and Children. Potential confounders were identified as preterm birth, birth weight, breastfeeding duration, prenatal maternal smoking, childhood environmental tobacco smoke exposure, socioeconomic status and prenatal/childhood air pollution exposure. Univariable and multivariable linear models (n range=2332-6672) were fitted to assess the cross-sectional and longitudinal associations of lung function with cognitive ability, and change in cognitive ability between ages 8 and 15. RESULTS In univariate analyses, both FEV1 and FVC at age 8 were associated with cognitive ability at both ages, but after adjustment, only FVC was associated with full-scale IQ (FSIQ) at ages 8 (β=0.09 (95% CI 0.05 to 0.12; p<0.001)) and 15 (β=0.06 (0.03 to 0.10; p=0.001)). We did not find evidence of an association between either lung function parameter and interval change in standardised FSIQ. DISCUSSION Reduced FVC, but not FEV1, is independently associated with decreased cognitive ability in children. This low-magnitude association attenuates between ages 8 and 15, while no association is evident with longitudinal change in cognitive ability. Our results support a link between FVC and cognition across the life course, possibly due to shared genetic or environmental risk, rather than causation.
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Affiliation(s)
- Jack Grenville
- Respiratory Medicine, Cardiff and Vale University Health Board, Cardiff, Wales, UK
| | - Raquel Granell
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - James Dodd
- Academic Respiratory Unit, University of Bristol, Bristol, UK
- Respiratory Medicine, North Bristol NHS Trust, Bristol, UK
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Clouston SAP, Hall CB, Kritikos M, Bennett DA, DeKosky S, Edwards J, Finch C, Kreisl WC, Mielke M, Peskind ER, Raskind M, Richards M, Sloan RP, Spiro A, Vasdev N, Brackbill R, Farfel M, Horton M, Lowe S, Lucchini RG, Prezant D, Reibman J, Rosen R, Seil K, Zeig-Owens R, Deri Y, Diminich ED, Fausto BA, Gandy S, Sano M, Bromet EJ, Luft BJ. Cognitive impairment and World Trade Centre-related exposures. Nat Rev Neurol 2022; 18:103-116. [PMID: 34795448 PMCID: PMC8938977 DOI: 10.1038/s41582-021-00576-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/29/2021] [Indexed: 02/03/2023]
Abstract
On 11 September 2001 the World Trade Center (WTC) in New York was attacked by terrorists, causing the collapse of multiple buildings including the iconic 110-story 'Twin Towers'. Thousands of people died that day from the collapse of the buildings, fires, falling from the buildings, falling debris, or other related accidents. Survivors of the attacks, those who worked in search and rescue during and after the buildings collapsed, and those working in recovery and clean-up operations were exposed to severe psychological stressors. Concurrently, these 'WTC-affected' individuals breathed and ingested a mixture of organic and particulate neurotoxins and pro-inflammogens generated as a result of the attack and building collapse. Twenty years later, researchers have documented neurocognitive and motor dysfunctions that resemble the typical features of neurodegenerative disease in some WTC responders at midlife. Cortical atrophy, which usually manifests later in life, has also been observed in this population. Evidence indicates that neurocognitive symptoms and corresponding brain atrophy are associated with both physical exposures at the WTC and chronic post-traumatic stress disorder, including regularly re-experiencing traumatic memories of the events while awake or during sleep. Despite these findings, little is understood about the long-term effects of these physical and mental exposures on the brain health of WTC-affected individuals, and the potential for neurocognitive disorders. Here, we review the existing evidence concerning neurological outcomes in WTC-affected individuals, with the aim of contextualizing this research for policymakers, researchers and clinicians and educating WTC-affected individuals and their friends and families. We conclude by providing a rationale and recommendations for monitoring the neurological health of WTC-affected individuals.
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Affiliation(s)
- Sean A P Clouston
- Program in Public Health, Department of Family, Population, and Preventive Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.
| | - Charles B Hall
- Saul R. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Minos Kritikos
- Program in Public Health, Department of Family, Population, and Preventive Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - David A Bennett
- Rush Alzheimer's Disease Center, Department of Neurological Sciences, Rush Medical College, Rush University, Chicago, IL, USA
| | - Steven DeKosky
- Evelyn F. and William L. McKnight Brain Institute and Florida Alzheimer's Disease Research Center, Department of Neurology and Neuroscience, University of Florida, Gainesville, FL, USA
| | - Jerri Edwards
- Department of Psychiatry and Behavioral Neuroscience, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Caleb Finch
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
| | - William C Kreisl
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Department of Neurology, Columbia University, New York, NY, USA
| | - Michelle Mielke
- Specialized Center of Research Excellence on Sex Differences, Department of Neurology, Department of Epidemiology, Mayo Clinic, Rochester, MN, USA
| | - Elaine R Peskind
- Veteran's Association VISN 20 Northwest Mental Illness Research, Education, and Clinical Center, Veteran's Affairs Puget Sound Health Care System, Seattle, WA, USA
- Alzheimer's Disease Research Center, Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Murray Raskind
- Veteran's Association VISN 20 Northwest Mental Illness Research, Education, and Clinical Center, Veteran's Affairs Puget Sound Health Care System, Seattle, WA, USA
- Alzheimer's Disease Research Center, Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Marcus Richards
- Medical Research Council Unit for Lifelong Health and Ageing, Population Health Sciences, University College London, London, UK
| | - Richard P Sloan
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Avron Spiro
- Department of Epidemiology, School of Public Health, Boston University, Boston, MA, USA
- Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), Department of Veterans Affairs Boston Healthcare System, Boston, MA, USA
| | - Neil Vasdev
- Azrieli Centre for Neuro-Radiochemistry, Brain Health Imaging Center, Center for Addiction and Mental Health, Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Robert Brackbill
- World Trade Center Health Registry, New York Department of Health and Mental Hygiene, New York, NY, USA
| | - Mark Farfel
- World Trade Center Health Registry, New York Department of Health and Mental Hygiene, New York, NY, USA
| | - Megan Horton
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sandra Lowe
- The World Trade Center Mental Health Program, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Roberto G Lucchini
- Department of Environmental Health Sciences, Robert Stempel College of Public Health and Social Work, Florida International University, Miami, FL, USA
| | - David Prezant
- World Trade Center Health Program, Fire Department of the City of New York, Brooklyn, NY, USA
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Joan Reibman
- Department of Environmental Medicine, New York University Langone Health, New York, NY, USA
| | - Rebecca Rosen
- World Trade Center Environmental Health Center, Department of Psychiatry, New York University, New York, NY, USA
| | - Kacie Seil
- World Trade Center Health Registry, New York Department of Health and Mental Hygiene, New York, NY, USA
| | - Rachel Zeig-Owens
- World Trade Center Health Program, Fire Department of the City of New York, Brooklyn, NY, USA
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Yael Deri
- Department of Medicine, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA
- Department of Psychiatry, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA
| | - Erica D Diminich
- Program in Public Health, Department of Family, Population, and Preventive Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - Bernadette A Fausto
- Center for Molecular & Behavioral Neuroscience, Rutgers, The State University of New Jersey, Newark, NJ, USA
| | - Sam Gandy
- Research and Development Service, James J. Peters Department of Veterans Affairs Medical Center, Bronx, NY, USA
- Mount Sinai Alzheimer's Disease Research Center and Ronald M. Loeb Center for Alzheimer's Disease, Department of Psychiatry, Icahn School of Medicine, Mount Sinai, New York, NY, USA
| | - Mary Sano
- Research and Development Service, James J. Peters Department of Veterans Affairs Medical Center, Bronx, NY, USA
- Mount Sinai Alzheimer's Disease Research Center and Ronald M. Loeb Center for Alzheimer's Disease, Department of Psychiatry, Icahn School of Medicine, Mount Sinai, New York, NY, USA
| | - Evelyn J Bromet
- Department of Psychiatry, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA
| | - Benjamin J Luft
- Department of Medicine, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA
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Joyce BT, Chen X, Yaffe K, Henkle BE, Gao T, Zheng Y, Kalhan R, Washko G, Kunisaki KM, Thyagarajan B, Gross M, Jacobs DR, Lloyd-Jones D, Liu K, Sidney S, Hou L. Pulmonary Function in Midlife as a Predictor of Later-Life Cognition: The Coronary Artery Risk Development in Adults (CARDIA) Study. J Gerontol A Biol Sci Med Sci 2022; 77:2517-2523. [PMID: 35106576 PMCID: PMC9799217 DOI: 10.1093/gerona/glac026] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND Studies found associations between pulmonary function (PF) and cognition, but these are limited by mostly cross-sectional design and a single measure of PF (typically forced expiratory volume in 1 second [FEV1]). Our objective was to prospectively analyze the association of repeatedly measured PF with cognition. METHODS We studied 3 499 participants in the Coronary Artery Risk Development in Young Adults cohort with cognition measured at year 25 (Y25) and Y30, and PF (FEV1 and forced vital capacity [FVC], reflecting better PF) measured up to 6 times from Y0 to Y20. Cognition was measured via Stroop test, Rey-Auditory Verbal Learning Test [RAVLT], and digit symbol substitution test [DSST], which capture executive function, verbal learning and memory, and attention and psychomotor speed, respectively; lower Stroop, and higher RAVLT and DSST scores indicate better cognition. We modeled linear, cross-sectional associations between cognition and PF at Y30 (mean age 55), and mixed models to examine associations between cognition at Y25-Y30 and longitudinal PF (both annual rate of change, and cumulative PF from Y0 to Y20). RESULTS At Y30, FEV1 and FVC were cross-sectionally associated with all 3 measures of cognition (β = 0.08-0.12, p < .01-.02). Annual change from peak FEV1/FVC ratio was associated with Stroop and DSST (β = 18.06, 95% CI = 7.71-28.40; β = 10.30, 95% CI = 0.26-20.34, respectively), but not RAVLT. Cumulative FEV1 and FVC were associated with Stroop and DSST (β = 0.07-0.12, p < .01-.02), but only cumulative FEV1 was associated with RAVLT (β = 0.07, 95% CI = 0.00-0.14). CONCLUSIONS We identified prospective associations between measures of PF and cognition even at middle ages, adding evidence of a prospective association between reduced PF and cognitive decline.
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Affiliation(s)
- Brian T Joyce
- Address correspondence to: Brian T. Joyce, PhD, Center for Global Oncology, Institute for Global Health, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 N. Lake Shore Drive, Suite 1400, Chicago, IL 60611, USA. E-mail:
| | | | - Kristine Yaffe
- UCSF Weill Institute for Neurosciences, University of California–San Francisco, San Francisco, California, USA
| | - Benjamin E Henkle
- Department of Medicine, University of Minnesota, Minneapolis, Minnesota, USA,Minneapolis VA Health Care System, Minneapolis, Minnesota, USA
| | - Tao Gao
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Yinan Zheng
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Ravi Kalhan
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - George Washko
- Department of Medicine, Harvard Medical School, Harvard University, Boston, Massachusetts, USA
| | - Ken M Kunisaki
- Department of Medicine, University of Minnesota, Minneapolis, Minnesota, USA,Minneapolis VA Health Care System, Minneapolis, Minnesota, USA
| | - Bharat Thyagarajan
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Myron Gross
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota, USA
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Donald Lloyd-Jones
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Kiang Liu
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Stephen Sidney
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
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10
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Graham EK, Willroth EC, Weston SJ, Muniz-Terrera G, Clouston SA, Hofer SM, Mroczek DK, Piccinin AM. Coordinated data analysis: Knowledge accumulation in lifespan developmental psychology. Psychol Aging 2022; 37:125-135. [PMID: 35113619 PMCID: PMC8814465 DOI: 10.1037/pag0000612] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Coordinated analysis is a powerful form of integrative analysis, and is well suited in its capacity to promote cumulative scientific knowledge, particularly in subfields of psychology that focus on the processes of lifespan development and aging. Coordinated analysis uses raw data from individual studies to create similar hypothesis tests for a given research question across multiple datasets, thereby making it less vulnerable to common criticisms of meta-analysis such as file drawer effects or publication bias. Coordinated analysis can sometimes use random effects meta-analysis to summarize results, which does not assume a single true effect size for a given statistical test. By fitting parallel models in separate datasets, coordinated analysis preserves the heterogeneity among studies, and provides a window into the generalizability and external validity of a set of results. The current article achieves three goals: First, it describes the phases of a coordinated analysis so that interested researchers can more easily adopt these methods in their labs. Second, it discusses the importance of coordinated analysis within the context of the credibility revolution in psychology. Third, it encourages the use of existing data networks and repositories for conducting coordinated analysis, in order to enhance accessibility and inclusivity. Subfields of research that require time- or resource- intensive data collection, such as longitudinal aging research, would benefit by adopting these methods. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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Affiliation(s)
| | | | | | - Graciela Muniz-Terrera
- University of Edinburgh, Centre for Clinical Brain Sciences, Edinburgh, Scotland, UK,University of Edinburgh, Centre for Dementia Prevention, Edinburgh, Scotland, UK
| | - Sean A.P. Clouston
- Department of Family, Population, and Preventive Medicine; Program in Public Health, University of Stony Brook
| | - Scott M. Hofer
- University of Victoria, Department of Psychology, Victoria, BC, Canada
| | - Daniel K. Mroczek
- Department of Medical Social Sciences, Northwestern University,Department of Psychology, Northwestern University
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11
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Niarchou M, Gustavson DE, Sathirapongsasuti JF, Anglada-Tort M, Eising E, Bell E, McArthur E, Straub P, McAuley JD, Capra JA, Ullén F, Creanza N, Mosing MA, Hinds DA, Davis LK, Jacoby N, Gordon RL. Genome-wide association study of musical beat synchronization demonstrates high polygenicity. Nat Hum Behav 2022; 6:1292-1309. [PMID: 35710621 PMCID: PMC9489530 DOI: 10.1038/s41562-022-01359-x] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2021] [Accepted: 04/21/2022] [Indexed: 02/02/2023]
Abstract
Moving in synchrony to the beat is a fundamental component of musicality. Here we conducted a genome-wide association study to identify common genetic variants associated with beat synchronization in 606,825 individuals. Beat synchronization exhibited a highly polygenic architecture, with 69 loci reaching genome-wide significance (P < 5 × 10-8) and single-nucleotide-polymorphism-based heritability (on the liability scale) of 13%-16%. Heritability was enriched for genes expressed in brain tissues and for fetal and adult brain-specific gene regulatory elements, underscoring the role of central-nervous-system-expressed genes linked to the genetic basis of the trait. We performed validations of the self-report phenotype (through separate experiments) and of the genome-wide association study (polygenic scores for beat synchronization were associated with patients algorithmically classified as musicians in medical records of a separate biobank). Genetic correlations with breathing function, motor function, processing speed and chronotype suggest shared genetic architecture with beat synchronization and provide avenues for new phenotypic and genetic explorations.
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Affiliation(s)
- Maria Niarchou
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA. .,Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
| | - Daniel E. Gustavson
- grid.412807.80000 0004 1936 9916Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN USA ,grid.412807.80000 0004 1936 9916Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN USA
| | | | - Manuel Anglada-Tort
- grid.461782.e0000 0004 1795 8610Computational Auditory Perception Group, Max Planck Institute for Empirical Aesthetics, Frankfurt am Main, Germany
| | - Else Eising
- grid.419550.c0000 0004 0501 3839Department of Language and Genetics, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands
| | - Eamonn Bell
- grid.21729.3f0000000419368729Department of Music, Columbia University, New York, NY USA ,grid.8250.f0000 0000 8700 0572Department of Computer Science, Durham University, Durham, UK
| | - Evonne McArthur
- grid.412807.80000 0004 1936 9916Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN USA
| | - Peter Straub
- grid.412807.80000 0004 1936 9916Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN USA
| | | | - J. Devin McAuley
- grid.17088.360000 0001 2150 1785Department of Psychology, Michigan State University, East Lansing, MI USA
| | - John A. Capra
- grid.266102.10000 0001 2297 6811Bakar Computational Health Sciences Institute, University of California, San Francisco, CA USA ,grid.266102.10000 0001 2297 6811Department of Epidemiology & Biostatistics, University of California, San Francisco, CA USA
| | - Fredrik Ullén
- grid.465198.7Department of Neuroscience, Karolinska Institutet, Solna, Sweden ,grid.461782.e0000 0004 1795 8610Department of Cognitive Neuropsychology, Max Planck Institute for Empirical Aesthetics, Frankfurt am Main, Germany
| | - Nicole Creanza
- grid.152326.10000 0001 2264 7217Department of Biological Sciences, Vanderbilt University, Nashville, TN USA ,grid.152326.10000 0001 2264 7217Evolutionary Studies Initiative, Vanderbilt University, Nashville, TN USA
| | - Miriam A. Mosing
- grid.465198.7Department of Neuroscience, Karolinska Institutet, Solna, Sweden ,grid.461782.e0000 0004 1795 8610Department of Cognitive Neuropsychology, Max Planck Institute for Empirical Aesthetics, Frankfurt am Main, Germany ,grid.1008.90000 0001 2179 088XMelbourne School of Psychological Sciences, University of Melbourne, Melbourne, Victoria Australia
| | - David A. Hinds
- grid.420283.f0000 0004 0626 085823andMe, Inc, Sunnyvale, CA USA
| | - Lea K. Davis
- grid.412807.80000 0004 1936 9916Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN USA ,grid.412807.80000 0004 1936 9916Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN USA ,grid.412807.80000 0004 1936 9916Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN USA ,grid.412807.80000 0004 1936 9916Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN USA ,grid.152326.10000 0001 2264 7217Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, TN USA
| | - Nori Jacoby
- grid.461782.e0000 0004 1795 8610Computational Auditory Perception Group, Max Planck Institute for Empirical Aesthetics, Frankfurt am Main, Germany
| | - Reyna L. Gordon
- grid.412807.80000 0004 1936 9916Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN USA ,grid.412807.80000 0004 1936 9916Department of Otolaryngology—Head & Neck Surgery, Vanderbilt University Medical Center, Nashville, TN USA ,grid.152326.10000 0001 2264 7217Department of Psychology, Vanderbilt University, Nashville, TN USA ,grid.152326.10000 0001 2264 7217Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN USA
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12
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Small BJ, Lange M, Zhai W, Ahn J, Ahles TA, Carroll JE, Cohen HJ, Graham D, Extermann M, Heutte N, Jim HSL, McDonald BC, Patel SK, Root JC, Saykin AJ, Van Dyk K, Zhou X, Mandelblatt J, Joly F. Impact of taxane-based chemotherapy among older women with breast cancer on cognition and quality of life: a longitudinal pooled analysis. Breast Cancer Res Treat 2022; 191:459-469. [PMID: 34817750 PMCID: PMC8766903 DOI: 10.1007/s10549-021-06455-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 11/14/2021] [Indexed: 01/03/2023]
Abstract
PURPOSE Older cancer patients are susceptible to long-term effects of chemotherapy, including cancer-related cognitive decline and impairments to quality of life. Taxane-based chemotherapies are associated with physical declines among older women and may negatively impact cognitive performance. We sought to examine whether changes in objective and subjective measures of cognitive performance and well-being differ among older breast cancer survivors as a function of taxane-based chemotherapy treatment regimens. METHODS Individual-level data were pooled and harmonized from two large prospective studies of older (greater than 60 years) breast cancer survivors. Assessments were conducted prior to systemic therapy and up to 36 months after. Cognitive performance was assessed with objective (working memory, processing speed, and executive functions) and subjective tests and physical, emotional, and functional well-being were also assessed. RESULTS One hundred and sixty-seven (M age = 67.3 years) women with 116 receiving chemotherapy with taxanes and 51 without taxanes contributed data. Declines in subjective cognition for both groups were significant between pre-treatment and 12-month follow-up. Significant improvements were seen on a measure of objective cognition (working memory) from 12 to 36 months. Measures of well-being improved from prior to systemic therapy to 12 months. Longitudinal changes across all measures did not vary as a function of receipt of taxane-based treatment. CONCLUSION Older women who received treatment with taxanes did not have greater declines in cognitive performance or well-being than women receiving other chemotherapy regimens. Despite older cancer survivors being at greater risk for negative outcomes, treatment with taxane-based chemotherapies does not appear to exacerbate these health consequences.
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Affiliation(s)
- Brent J Small
- School of Aging Studies, University of South Florida, 13301 Bruce B. Downs Blvd, Tampa, FL, 33620, USA.
| | - Marie Lange
- Medical Oncology Department, Centre François Baclesse, and Normandie University, UNICAEN, INSERM, ANTICIPE, and Cancer and Cognition Platform, Ligue Nationale Contre le Cancer, Caen, France
| | - Wanting Zhai
- Department of Biostatistics, Bioinformatics and Biomathematics, Georgetown-Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
| | - Jaeil Ahn
- Department of Biostatistics, Bioinformatics and Biomathematics, Georgetown-Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
| | - Tim A Ahles
- Department of Psychiatry and Behavioral Sciences, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Judith E Carroll
- UCLA Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, Jonsson Comprehensive Cancer Center and Cousins Center for Psychoneuroimmunology, Jane and Terry Semel Institute for Neuroscience and Human Behavior, Los Angeles, CA, USA
| | - Harvey J Cohen
- Center for the Study of Aging and Human Development, Duke University School of Medicine, Durham, NC, USA
| | | | - Martine Extermann
- Department of Oncology Sciences, Senior Adult Oncology Program, Moffitt Cancer Center, Tampa, FL, USA
| | - Natacha Heutte
- Department of Clinical Research, Center François Baclesse, and Normandie Université, Caen, France
| | - Heather S L Jim
- Department of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL, USA
| | - Brenna C McDonald
- Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine and the Indiana University Melvin and Bren Simon Cancer Center, Indianapolis, IN, USA
| | - Sunita K Patel
- Departments of Population Sciences and Supportive Care Medicine, City of Hope Comprehensive Cancer Center, Duarte, CA, USA
| | - James C Root
- Department of Psychiatry and Behavioral Sciences, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Andrew J Saykin
- Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine and the Indiana University Melvin and Bren Simon Cancer Center, Indianapolis, IN, USA
| | - Kathleen Van Dyk
- Department of Psychiatry and Biobehavioral Sciences David Geffen School of Medicine, Jonsson Comprehensive Cancer Center, UCLA, Semel Institute, Los Angeles, CA, USA
| | - Xingtao Zhou
- Department of Biostatistics, Bioinformatics and Biomathematics, Georgetown-Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
| | - Jeanne Mandelblatt
- Department of Oncology, Cancer Prevention and Control Program, Georgetown-Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA
| | - Florence Joly
- Medical Oncology Department, Centre François Baclesse, and Normandie University, UNICAEN, INSERM, ANTICIPE, and Cancer and Cognition Platform, Ligue Nationale Contre le Cancer, Caen, France
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13
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Johansson B, Thorvaldsson V. What Matters and What Matters Most for Survival After age 80? A Multidisciplinary Exploration Based on Twin Data. Front Psychol 2021; 12:723027. [PMID: 34630233 PMCID: PMC8492959 DOI: 10.3389/fpsyg.2021.723027] [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: 06/09/2021] [Accepted: 09/03/2021] [Indexed: 11/25/2022] Open
Abstract
Given research and public interest for conditions related to an extended lifespan, we addressed the questions of what matters and what matters most for subsequent survival past age 80. The data was drawn from the population-based and multidisciplinary Swedish OCTO Twin Study, in which a sample (N = 699) consisting of identical and same-sex fraternal twin pairs, followed from age 80 until death, provided detailed data on health, physical functioning, life style, personality, and sociodemographic conditions. Information concerning date of birth and death were obtained from population census register. We estimated heritability using an ACE model and evaluated the role of multiple predictors for the mortality-related hazard rate using Cox regression. Our findings confirmed a low heritability of 12%. As expected, longer survival was associated with being a female, an apolipoprotein E (APOE) e4 allele non-carrier, and a non-smoker. Several diseases were found to be associated with shorter survival (cerebrovascular, dementia, Parkinson's, and diabetes) as well as certain health conditions (high diastolic blood pressure, low body mass index, and hip fracture). Stronger grip and better lung function, as well as better vision (but not hearing), and better cognitive function (self-evaluated and measured) was related to longer survival. Social embeddedness, better self-evaluated health, and life-satisfaction were also significantly associated with longer survival. After controlling for the impact of comorbidity, functional markers, and personality-related predictors, we found that sex, cerebrovascular diseases, compromised cognitive functioning, self-related health, and life-satisfaction remained as strong predictors. Cancer was only associated with the mortality hazard when accounting for other co-morbidities. The survival estimates were mostly in anticipated directions and contained effect sizes within the expected range. Noteworthy, we found that some of the so-called "soft-markers" remained strong predictors, despite a control for other factors. For example, self-evaluation of health and ratings of life-satisfaction provide additional and valuable information.
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Affiliation(s)
- Boo Johansson
- Department of Psychology and Centre for Ageing and Health (AgeCap), University of Gothenburg, Gothenburg, Sweden
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14
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Clouston SAP, Muñiz Terrera G, Rodgers JL, O'Keefe P, Mann F, Lewis NA, Wänström L, Kaye J, Hofer SM. Cohort and Period Effects as Explanations for Declining Dementia Trends and Cognitive Aging. POPULATION AND DEVELOPMENT REVIEW 2021; 47:611-637. [PMID: 36937313 PMCID: PMC10021404 DOI: 10.1111/padr.12409] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Studies have reported that the age-adjusted incidence of cognitive impairment and dementia may have decreased over the past two decades. Aging is the predominant risk factor for Alzheimer's disease and related dementias and for neurocognitive decline. However, aging cannot explain changes in overall age-adjusted incidence of dementia. The objective of this position paper was to describe the potential for cohort and period effects in cognitive decline and incidence of dementia. Cohort effects have long been reported in demographic literature, but starting in the early 1980s, researchers began reporting cohort trends in cognitive function. At the same time, period effects have emerged in economic factors and stressors in early and midlife that may result in reduced cognitive dysfunction. Recognizing that aging individuals today were once children and adolescents, and that research has clearly noted that childhood cognitive performance is a primary determinant of old-age cognitive performance, this is the first study that proposes the need to connect known cohort effects in childhood cognition with differences in late-life functioning.
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Affiliation(s)
- Sean A P Clouston
- Program in Public Health and Department of Family, Population, and Preventive Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - Graciela Muñiz Terrera
- Biostatistics and Epidemiology, Center for Dementia Prevention, University of Edinburgh, Edinburgh, UK
| | - Joseph Lee Rodgers
- Department of Psychology and Human Development, Vanderbilt University, Nashville, TN, USA
| | | | - Frank Mann
- Program in Public Health and Department of Family, Population, and Preventive Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - Nathan A Lewis
- Department of Psychology, University of Victoria, Victoria, BC
| | - Linda Wänström
- Department of Computer and Informational Science, Linköping University, Linköping, Sweden
| | - Jeffrey Kaye
- Oregon Center for Aging and Technology, Oregon Health and Sciences University, and NIA-Layton Aging & Alzheimer's Disease Center, Portland, OR, USA
| | - Scott M Hofer
- Department of Psychology, University of Victoria, Victoria, BC
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15
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Zammit AR, Piccinin AM, Duggan EC, Koval A, Clouston S, Robitaille A, Brown CL, Handschuh P, Wu C, Jarry V, Finkel D, Graham RB, Muniz-Terrera G, Praetorius Björk M, Bennett D, Deeg DJ, Johansson B, Katz MJ, Kaye J, Lipton RB, Martin M, Pederson NL, Spiro A, Zimprich D, Hofer SM. A Coordinated Multi-study Analysis of the Longitudinal Association Between Handgrip Strength and Cognitive Function in Older Adults. J Gerontol B Psychol Sci Soc Sci 2021; 76:229-241. [PMID: 31187137 DOI: 10.1093/geronb/gbz072] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Indexed: 12/11/2022] Open
Abstract
OBJECTIVE Handgrip strength, an indicator of overall muscle strength, has been found to be associated with slower rate of cognitive decline and decreased risk for cognitive impairment and dementia. However, evaluating the replicability of associations between aging-related changes in physical and cognitive functioning is challenging due to differences in study designs and analytical models. A multiple-study coordinated analysis approach was used to generate new longitudinal results based on comparable construct-level measurements and identical statistical models and to facilitate replication and research synthesis. METHODS We performed coordinated analysis on 9 cohort studies affiliated with the Integrative Analysis of Longitudinal Studies of Aging and Dementia (IALSA) research network. Bivariate linear mixed models were used to examine associations among individual differences in baseline level, rate of change, and occasion-specific variation across grip strength and indicators of cognitive function, including mental status, processing speed, attention and working memory, perceptual reasoning, verbal ability, and learning and memory. Results were summarized using meta-analysis. RESULTS After adjustment for covariates, we found an overall moderate association between change in grip strength and change in each cognitive domain for both males and females: Average correlation coefficient was 0.55 (95% CI = 0.44-0.56). We also found a high level of heterogeneity in this association across studies. DISCUSSION Meta-analytic results from nine longitudinal studies showed consistently positive associations between linear rates of change in grip strength and changes in cognitive functioning. Future work will benefit from the examination of individual patterns of change to understand the heterogeneity in rates of aging and health-related changes across physical and cognitive biomarkers.
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Affiliation(s)
- Andrea R Zammit
- Saul B. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, New York
| | | | - Emily C Duggan
- Department of Psychology, University of Victoria, Canada
| | - Andriy Koval
- Department of Psychology, University of Victoria, Canada
| | - Sean Clouston
- Department of Family, Population and Preventive Medicine, Stony Brook University, New York
| | - Annie Robitaille
- Department of Psychology, Université du Québec à Montréal, Canada
| | | | - Philipp Handschuh
- Department of Developmental Psychology, Institute of Psychology and Education, Ulm University, Germany
| | - Chenkai Wu
- Global Health Research Center, Duke Kunshan University, China.,Department of Epidemiology and Community Health, School of Health Sciences and Practice, New York Medical College, Valhalla.,School of Biological and Population Health Sciences, Oregon State University, Corvallis
| | - Valérie Jarry
- Research Center on Aging, Integrated Academic Health Center and Social Services in the Eastern Townships, Sherbrooke, Canada.,Faculty of Medicine and Health Sciences, University of Sherbrooke, Canada
| | - Deborah Finkel
- Department of Psychology, Indiana University Southeast, New Albany
| | | | | | - Marcus Praetorius Björk
- Department of Psychology, University of Gothenburg, Sweden.,Centre for Ageing and Health, AgeCap, University of Gothenburg, Sweden
| | - David Bennett
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois
| | - Dorly J Deeg
- Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, the Netherlands
| | - Boo Johansson
- Department of Psychology, University of Gothenburg, Sweden.,Centre for Ageing and Health, AgeCap, University of Gothenburg, Sweden
| | - Mindy J Katz
- Saul B. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, New York
| | - Jeffrey Kaye
- Department of Neurology, Oregon Health & Science University, Portland
| | - Richard B Lipton
- Saul B. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, New York
| | - Mike Martin
- Department of Psychology, University of Zurich, Switzerland
| | - Nancy L Pederson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Avron Spiro
- Department of Psychiatry, Boston University School of Medicine, Massachusetts.,Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), Department of Veterans Affairs Boston Healthcare System, Massachusetts.,Department of Epidemiology, Boston University School of Public Health, Massachusetts
| | - Daniel Zimprich
- Department of Developmental Psychology, Institute of Psychology and Education, Ulm University, Germany
| | - Scott M Hofer
- Department of Psychology, University of Victoria, Canada.,Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, the Netherlands
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16
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Diminich ED, Clouston SAP, Kranidis A, Kritikos M, Kotov R, Kuan P, Carr M, Bromet EJ, Luft BJ. Chronic Posttraumatic Stress Disorder and Comorbid Cognitive and Physical Impairments in World Trade Center Responders. J Trauma Stress 2021; 34:616-627. [PMID: 33219599 PMCID: PMC8137717 DOI: 10.1002/jts.22631] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 09/26/2020] [Accepted: 10/11/2020] [Indexed: 12/11/2022]
Abstract
Posttraumatic stress disorder (PTSD) has been linked to increased prevalence and incidence of cognitive and physical impairment. When comorbid, these conditions may be associated with poor long-term outcomes. We examined associations between chronic PTSD and symptom domains with cognitive and physical functioning in World Trade Center (WTC) responders nearly 20 years after the September 11, 2001, terrorist attacks. Participants included a cross-sectional sample of 4,815 responders who attended a monitoring program in 2015-2018. Montreal Cognitive Assessment scores less than 23 indicated cognitive impairment (CogI); Short Physical Performance Battery scores 9 or lower on a hand-grip test indicated physical impairment (PhysI). Comorbid cognitive/physical impairment (Cog/PhysI) was defined as having cognitive impairment with at least one objective PhysI indicator. Clinical chart review provided PTSD diagnoses; symptom domains were assessed using the PTSD Checklist. Participants were on average 53.05 years (SD = 8.01); 13.44% had PTSD, 7.8% had CogI, 24.8% had PhysI, and 5.92% had comorbid Cog/PhysI. Multivariable-adjusted multinomial logistic regression demonstrated that Responders with PTSD have more than three times the risk of Cog/PhysI (adjusted RR = 3.29, 95% CI 2.44- 4.44). Domain-specific analyses revealed that emotional numbing symptoms predicted an increased risk of PhysI (adjusted RR = 1.57, 95% CI 1.08-2.28), whereas reexperiencing symptoms were associated with comorbid Cog/PhysI (adjusted RR = 3.96, 95% CI, 2.33-6.74). These results suggest that responders with chronic PTSD may have increased risk of deficits beyond age-expected impairment characterized by the emergence of comorbid Cog/PhysI at midlife.
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Affiliation(s)
- Erica D. Diminich
- Program in Public HealthRenaissance School of Medicine at Stony Brook University Stony BrookNew YorkUSA
| | - Sean A. P. Clouston
- Program in Public HealthRenaissance School of Medicine at Stony Brook University Stony BrookNew YorkUSA
| | | | - Minos Kritikos
- Program in Public HealthRenaissance School of Medicine at Stony Brook University Stony BrookNew YorkUSA
| | - Roman Kotov
- Department of PsychiatryRenaissance School of Medicine at Stony Brook UniversityStony BrookNew YorkUSA
| | - Peifen Kuan
- Department of Applied Mathematics and StatisticsStony Brook UniversityStony BrookNew YorkUSA
| | - Melissa Carr
- World Trade Center Responder Health and Wellness ProgramDepartment of MedicineRenaissance School of Medicine at Stony Brook UniversityStony BrookNYUSA
| | - Evelyn J. Bromet
- Department of PsychiatryRenaissance School of Medicine at Stony Brook UniversityStony BrookNew YorkUSA
| | - Benjamin J. Luft
- World Trade Center Responder Health and Wellness ProgramDepartment of MedicineRenaissance School of Medicine at Stony Brook UniversityStony BrookNYUSA
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17
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Huang C, Kritikos M, Clouston SAP, Deri Y, Serrano-Sosa M, Bangiyev L, Santiago-Michels S, Gandy S, Sano M, Bromet EJ, Luft BJ. White Matter Connectivity in Incident Mild Cognitive Impairment: A Diffusion Spectrum Imaging Study of World Trade Center Responders at Midlife. J Alzheimers Dis 2021; 80:1209-1219. [PMID: 33646156 PMCID: PMC8150516 DOI: 10.3233/jad-201237] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Background: Individuals who participated in response efforts at the World Trade Center (WTC) following 9/11/2001 are experiencing elevated incidence of mild cognitive impairment (MCI) at midlife. Objective: We hypothesized that white matter connectivity measured using diffusion spectrum imaging (DSI) would be restructured in WTC responders with MCI versus cognitively unimpaired responders. Methods: Twenty responders (mean age 56; 10 MCI/10 unimpaired) recruited from an epidemiological study were characterized using NIA-AA criteria alongside controls matched on demographics (age/sex/occupation/race/education). Axial DSI was acquired on a 3T Siemen’s Biograph mMR scanner (12-channel head coil) using a multi-band diffusion sequence. Connectometry examined whole-brain tract-level differences in white matter integrity. Fractional anisotropy (FA), mean diffusivity (MD), and quantified anisotropy were extracted for region of interest (ROI) analyses using the Desikan-Killiany atlas. Results: Connectometry identified both increased and decreased connectivity within regions of the brains of responders with MCI identified in the corticothalamic pathway and cortico-striatal pathway that survived adjustment for multiple comparisons. MCI was also associated with higher FA values in five ROIs including in the rostral anterior cingulate; lower MD values in four ROIs including the left rostral anterior cingulate; and higher MD values in the right inferior circular insula. Analyses by cognitive domain revealed nominal associations in domains of response speed, verbal learning, verbal retention, and visuospatial learning. Conclusions: WTC responders with MCI at midlife showed early signs of neurodegeneration characterized by both increased and decreased white matter diffusivity in regions commonly affected by early-onset Alzheimer’s disease.
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Affiliation(s)
- Chuan Huang
- Department of Psychiatry, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.,Department of Radiology, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - Minos Kritikos
- Program in Public Health, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.,Department of Family, Population, and Preventive Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - Sean A P Clouston
- Program in Public Health, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.,Department of Family, Population, and Preventive Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - Yael Deri
- Department of Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.,World Trade Center Health and Wellness Program, Stony Brook University, Stony Brook, NY, USA
| | - Mario Serrano-Sosa
- Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, USA
| | - Lev Bangiyev
- Department of Radiology, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - Stephanie Santiago-Michels
- Department of Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.,World Trade Center Health and Wellness Program, Stony Brook University, Stony Brook, NY, USA
| | - Sam Gandy
- Center for Cognitive Health and NFL Neurological Care, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Mount Sinai Alzheimer's Disease Research Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Mary Sano
- Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, USA.,Center for Cognitive Health and NFL Neurological Care, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Evelyn J Bromet
- Department of Psychiatry, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - Benjamin J Luft
- Department of Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.,World Trade Center Health and Wellness Program, Stony Brook University, Stony Brook, NY, USA
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18
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Finkel D, Ernsth Bravell M, Pedersen NL. Role of motor function and lung function in pathways to ageing and decline. Aging Clin Exp Res 2020; 32:2479-2487. [PMID: 32056153 PMCID: PMC7680325 DOI: 10.1007/s40520-020-01494-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Accepted: 01/22/2020] [Indexed: 11/26/2022]
Abstract
Background Extensive research has investigated the association between age changes in various domains, including lung function and motor function. However, a few analyses have tested models that incorporate bidirectional longitudinal influences between lung and motor function to test the temporal chain of events in the disability process. Dual change score models (DCSM) assist with identification of leading indicators of change by leveraging longitudinal data to examine the extent to which changes in one variable influence subsequent changes in a second variable, and vice versa. Aims The purpose of the current-analysis study was to apply DCSM to data from the Swedish Adoption/Twin Study of ageing to examine the nature of the longitudinal relationship between motor functioning and lung function. Methods Three motor functioning factors were created from 20 performance measures, including measures of balance, flexibility, and fine motor skills. Peak expiratory flow measured lung function. Participants were 829 adults aged 50–88 at the first of 9 waves of testing covering a 27-year follow-up period; 80% participated in at least three waves. Results Model comparisons indicated that decline in lung function preceded and contributed to subsequent decline in motor function. Discussion Combined with previous results, these results suggest that declining lung function results in increasing difficulties in motor function, which contribute to subsequent declines in multiple domains. Conclusion Understanding the cascade of events that can lead to dependence can help in the development of interventions targeted early in the disablement process. Electronic supplementary material The online version of this article (10.1007/s40520-020-01494-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Deborah Finkel
- Department of Psychology, Indiana University Southeast, New Albany, IN, USA.
- School of Health and Welfare, Jönköping University, Jönköping, Sweden.
| | | | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
- Department of Psychology, University of Southern California, Los Angeles, CA, USA
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19
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Graham EK, Weston SJ, Gerstorf D, Yoneda TB, Booth T, Beam CR, Petkus AJ, Drewelies J, Hall AN, Bastarache ED, Estabrook R, Katz MJ, Turiano NA, Lindenberger U, Smith J, Wagner GG, Pedersen NL, Allemand M, Spiro A, Deeg DJH, Johansson B, Piccinin AM, Lipton RB, Schaie KW, Willis S, Reynolds CA, Deary IJ, Hofer SM, Mroczek DK. Trajectories of Big Five Personality Traits: A Coordinated Analysis of 16 Longitudinal Samples. EUROPEAN JOURNAL OF PERSONALITY 2020; 34:301-321. [PMID: 33564207 DOI: 10.1002/per.2259] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
This study assessed change in self-reported Big Five personality traits. We conducted a coordinated integrative data analysis using data from 16 longitudinal samples, comprising a total sample of over 60 000 participants. We coordinated models across multiple datasets and fit identical multi-level growth models to assess and compare the extent of trait change over time. Quadratic change was assessed in a subset of samples with four or more measurement occasions. Across studies, the linear trajectory models revealed declines in conscientiousness, extraversion, and openness. Non-linear models suggested late-life increases in neuroticism. Meta-analytic summaries indicated that the fixed effects of personality change are somewhat heterogeneous and that the variability in trait change is partially explained by sample age, country of origin, and personality measurement method. We also found mixed evidence for predictors of change, specifically for sex and baseline age. This study demonstrates the importance of coordinated conceptual replications for accelerating the accumulation of robust and reliable findings in the lifespan developmental psychological sciences.
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Affiliation(s)
| | | | - Denis Gerstorf
- Humboldt University, Berlin, Germany.,German Institute for Economic Research, Berlin, Germany
| | | | - Tom Booth
- University of Edinburgh, Edinburgh, UK
| | | | | | | | | | | | | | - Mindy J Katz
- Albert Einstein College of Medicine, New York, NY USA
| | | | | | | | - Gert G Wagner
- German Institute for Economic Research, Berlin, Germany.,Max Planck Institute for Human Development, Berlin, Germany.,Berlin University of Technology, Berlin, Germany
| | | | | | - Avron Spiro
- VA Boston Healthcare System, Boston, MA USA.,Boston University School of Public Health, Boston, MA USA.,Boston University School of Medicine, Boston, MA USA
| | - Dorly J H Deeg
- VU University Medical Center, Amsterdam, The Netherlands
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