Andrea R Zammit1, Andrea M Piccinin2, Emily C Duggan2, Andriy Koval2, Sean Clouston3, Annie Robitaille4, Cassandra L Brown2, Philipp Handschuh5, Chenkai Wu6,7,8, Valérie Jarry9,10, Deborah Finkel11, Raquel B Graham2, Graciela Muniz-Terrera12, Marcus Praetorius Björk13, David Bennett14, Dorly J Deeg15, Boo Johansson13, Mindy J Katz1, Jeffrey Kaye16, Richard B Lipton1, Mike Martin17, Nancy L Pederson18, Avron Spiro19,20,21, Daniel Zimprich5, Scott M Hofer2,16. 1. Saul B. Korey Department of Neurology, Albert Einstein College of Medicine, Bronx, NY. 2. Department of Psychology, University of Victoria, Victoria, BC. 3. Department of Family, Population and Preventive Medicine, Stony Brook University, Stony Brook, NY. 4. Department of Psychology, Université du Québec à Montréal, Montreal, QC, Canada. 5. Ulm University, Department of Developmental Psychology, Institute of Psychology and Education, Ulm University. 6. Global Health Research Center, Duke Kunshan University, Kunshan, Jiangsu, China. 7. Department of Epidemiology and Community Health, School of Health Sciences and Practice, New York Medical College, Valhalla, NY. 8. School of Biological and Population Health Sciences, Oregon State University, Corvallis, OR. 9. Research Center on Aging, Integrated Academic Health Center and Social Services in the Eastern Townships, Sherbrooke, Canada. 10. Faculty of Medicine and Health Sciences, University of Sherbrooke, Québec, Canada. 11. Department of Psychology, Indiana University Southeast, New Albany, IN. 12. Centre for Dementia Prevention, University of Edinburgh. 13. Department of Psychology and Centre for Ageing and Health, AgeCap, University of Gothenburg, Gothenburg, Sweden. 14. Rush Alzheimer's Disease Center, Rush University Medical Center. 15. Department of Epidemiology and Biostatistics, VU University Medical Center, In Amsterdam, the Netherlands. 16. Department of Neurology, Oregon Health & Science University, Portland, OR. 17. Department of Psychology, University of Zurich, Switzerland. 18. Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden. 19. Department of Psychiatry, Boston University School of Medicine, Boston, MA. 20. Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), Department of Veterans Affairs Boston Healthcare System, Boston, MA. 21. Department of Epidemiology, Boston University School of Public Health, Boston, MA.
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 nine 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. Published by Oxford University Press on behalf of The Gerontological Society of America 2019. This work is written by (a) US Government employee(s) and is in the public domain in the US.
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 nine 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. Published by Oxford University Press on behalf of The Gerontological Society of America 2019. This work is written by (a) US Government employee(s) and is in the public domain in the US.
Authors: Kate A Duchowny; Sarah F Ackley; Willa D Brenowitz; Jingxuan Wang; Scott C Zimmerman; Michelle R Caunca; M Maria Glymour Journal: JAMA Netw Open Date: 2022-06-01
Authors: Eileen K Graham; Emily C Willroth; Sara J Weston; Graciela Muniz-Terrera; Sean A P Clouston; Scott M Hofer; Daniel K Mroczek; Andrea M Piccinin Journal: Psychol Aging Date: 2021-05-24
Authors: Teresa J Filshtein; Xiang Li; Scott C Zimmerman; Sarah F Ackley; M Maria Glymour; Melinda C Power Journal: Epidemiology Date: 2021-09-01 Impact factor: 4.860
Authors: Patrick O'Keefe; Frank D Mann; Sean Clouston; Stacey Voll; Graciela Muniz-Terrera; Nathan Lewis; Linda Wanström; Scott M Hofer; Joseph L Rodgers Journal: J Gerontol A Biol Sci Med Sci Date: 2022-07-05 Impact factor: 6.591
Authors: Maria C Quattropani; Alberto Sardella; Francesca Morgante; Lucia Ricciardi; Angela Alibrandi; Vittorio Lenzo; Antonino Catalano; Giovanni Squadrito; Giorgio Basile Journal: Brain Sci Date: 2021-06-22
Authors: Murat Kara; Bayram Kaymak; Walter Frontera; Ayşe Merve Ata; Vincenzo Ricci; Timur Ekiz; Ke-Vin Chang; Der-Sheng Han; Xanthi Michail; Michael Quittan; Jae-Young Lim; Jonathan F Bean; Franco Franchignoni; Levent Özçakar Journal: J Rehabil Med Date: 2021-06-21 Impact factor: 2.912