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Balbim GM, Falck RS, Boa Sorte Silva NC, Kramer AF, Voss M, Liu-Ambrose T. The Association of the 24-Hour Activity Cycle Profiles With Cognition in Older Adults With Mild Cognitive Impairment: A Cross-Sectional Study. J Gerontol A Biol Sci Med Sci 2024; 79:glae099. [PMID: 38642387 PMCID: PMC11167489 DOI: 10.1093/gerona/glae099] [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: 08/30/2023] [Indexed: 04/22/2024] Open
Abstract
BACKGROUND The relationship of cognition and the 24-h activity cycle (24-HAC), encompassing physical activity, sedentary behavior, and sleep, in older adults with mild cognitive impairment (MCI) remains uncertain. Distinct combinations of 24-HAC behaviors can characterize unique activity profiles and influence cognition. We aimed to characterize 24-HAC activity profiles in older adults with MCI and assess whether differences in cognition exist across profiles. METHODS We conducted a cross-sectional analysis utilizing baseline data from 3 randomized controlled trials involving 253 community-dwelling older adults (55 + years) with MCI (no functional impairment, dementia diagnosis, and Montreal Cognitive Assessment score <26/30). Using MotionWatch8© wrist-worn actigraphy (+5 days), we captured the 24-HAC. Cognition was indexed by the Alzheimer's Disease Assessment Scale Cognitive Plus (ADAS-Cog-Plus). Compositional data and latent profile analyses identified distinct 24-HAC activity profiles. Analysis of covariance examined whether 24-HAC activity profiles differed in cognition. RESULTS Four distinct activity profiles were identified. Profile 1 ("Average 24-HAC," n = 103) engaged in all 24-HAC behaviors around the sample average. Profile 2 ("Active Chillers," n = 70) depicted lower-than-average engagement in physical activity and higher-than-average sedentary behavior. Profile 3 ("Physical Activity Masters," n = 54) were the most active and the least sedentary. Profile 4 ("Sedentary Savants," n = 26) were the least active and the most sedentary. Sleep was similar across profiles. There were no significant differences in ADAS-Cog-Plus scores between 24-HAC activity profiles (p > .05). CONCLUSIONS Older adults with MCI exhibited four 24-HAC activity profiles conforming to recommended physical activity and sleep guidelines. Nonetheless, cognition was similar across these profiles.
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Affiliation(s)
- Guilherme Moraes Balbim
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada
- Centre for Aging SMART at Vancouver Coastal Health, Vancouver Coastal Health Research Institute, Vancouver, British Columbia, Canada
| | - Ryan S Falck
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada
- Centre for Aging SMART at Vancouver Coastal Health, Vancouver Coastal Health Research Institute, Vancouver, British Columbia, Canada
| | - Nárlon Cássio Boa Sorte Silva
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada
- Centre for Aging SMART at Vancouver Coastal Health, Vancouver Coastal Health Research Institute, Vancouver, British Columbia, Canada
| | - Arthur F Kramer
- Department of Psychology, Northeastern University, Boston, Massachusetts, USA
- Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - Michelle Voss
- Department of Psychological and Brain Sciences, University of Iowa, Iowa City, Iowa, USA
- Iowa Neuroscience Institute, University of Iowa, Iowa City, Iowa, USA
| | - Teresa Liu-Ambrose
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, British Columbia, Canada
- Centre for Aging SMART at Vancouver Coastal Health, Vancouver Coastal Health Research Institute, Vancouver, British Columbia, Canada
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2
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Zou L, Herold F, Cheval B, Wheeler MJ, Pindus DM, Erickson KI, Raichlen DA, Alexander GE, Müller NG, Dunstan DW, Kramer AF, Hillman CH, Hallgren M, Ekelund U, Maltagliati S, Owen N. Sedentary behavior and lifespan brain health. Trends Cogn Sci 2024; 28:369-382. [PMID: 38431428 DOI: 10.1016/j.tics.2024.02.003] [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: 10/16/2023] [Revised: 02/02/2024] [Accepted: 02/06/2024] [Indexed: 03/05/2024]
Abstract
Higher levels of physical activity are known to benefit aspects of brain health across the lifespan. However, the role of sedentary behavior (SB) is less well understood. In this review we summarize and discuss evidence on the role of SB on brain health (including cognitive performance, structural or functional brain measures, and dementia risk) for different age groups, critically compare assessment approaches to capture SB, and offer insights into emerging opportunities to assess SB via digital technologies. Across the lifespan, specific characteristics of SB (particularly whether they are cognitively active or cognitively passive) potentially act as moderators influencing the associations between SB and specific brain health outcomes. We outline challenges and opportunities for future research aiming to provide more robust empirical evidence on these observations.
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Affiliation(s)
- Liye Zou
- Body-Brain-Mind Laboratory, School of Psychology, Shenzhen University, Shenzhen, China.
| | - Fabian Herold
- Body-Brain-Mind Laboratory, School of Psychology, Shenzhen University, Shenzhen, China; Research Group Degenerative and Chronic Diseases, Movement, Faculty of Health Sciences Brandenburg, University of Potsdam, 14476 Potsdam, Germany
| | - Boris Cheval
- Department of Sport Sciences and Physical Education, Ecole Normale Supérieure Rennes, Bruz, France; Laboratory VIPS2, University of Rennes, Rennes, France
| | - Michael J Wheeler
- Physical Activity Laboratory, Baker Heart & Diabetes Institute, Melbourne, Victoria, Australia; Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia
| | - Dominika M Pindus
- Kinesiology and Community Health, University of Illinois at Chicago, Chicago, IL, USA; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Kirk I Erickson
- AdventHealth Research Institute, Department of Neuroscience, AdventHealth, Orlando, FL, USA; Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA; Center for the Neural Basis of Cognition, University of Pittsburgh, Pittsburgh, PA, USA
| | - David A Raichlen
- Human and Evolutionary Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089, USA; Department of Anthropology, University of Southern California, Los Angeles, CA 90089, USA
| | - Gene E Alexander
- BIO5 Institute, University of Arizona, Tucson, AZ 85721, USA; Department of Psychology, University of Arizona, Tucson, AZ 85721, USA; Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ 85721, USA; Department of Psychiatry, University of Arizona, Tucson, AZ 85721, USA; Neuroscience Graduate Interdisciplinary Program, University of Arizona, Tucson, AZ 85721, USA; Physiological Sciences Graduate Interdisciplinary Program, University of Arizona, Tucson, AZ85721, USA
| | - Notger G Müller
- Research Group Degenerative and Chronic Diseases, Movement, Faculty of Health Sciences Brandenburg, University of Potsdam, 14476 Potsdam, Germany
| | - David W Dunstan
- Physical Activity Laboratory, Baker Heart & Diabetes Institute, Melbourne, Victoria, Australia; Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia
| | - Arthur F Kramer
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Center for Cognitive and Brain Health, Northeastern University, Boston, MA, USA; Department of Psychology, Northeastern University, Boston, MA, 02115, USA
| | - Charles H Hillman
- Center for Cognitive and Brain Health, Northeastern University, Boston, MA, USA; Department of Psychology, Northeastern University, Boston, MA, 02115, USA; Department of Physical Therapy, Movement, & Rehabilitation Sciences, Northeastern University, Boston, MA, 02115, USA
| | - Mats Hallgren
- Epidemiology of Psychiatric Conditions, Substance Use and Social Environment (EPiCSS), Department of Public Health Sciences, Karolinska Institutet, Solna, Sweden
| | - Ulf Ekelund
- Department of Sports Medicine, Norwegian School of Sport Sciences, Oslo, Norway; Department of Chronic Diseases and Ageing, The Norwegian Institute for Public Health, Oslo, Norway
| | - Silvio Maltagliati
- Human and Evolutionary Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089, USA
| | - Neville Owen
- Physical Activity Laboratory, Baker Heart & Diabetes Institute, Melbourne, Victoria, Australia; Centre for Urban Transitions, Swinburne University of Technology, Melbourne, Victoria, Australia
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3
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Yin Y, Zhao Y, Fei Y, Liu Y, Ji Y, Shan E, Niu S, Xing Y, Ding J, Li X. Epidemiology and risk factors of oral frailty among older people: an observational study from China. BMC Oral Health 2024; 24:368. [PMID: 38515048 PMCID: PMC10958975 DOI: 10.1186/s12903-024-04149-1] [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: 12/20/2023] [Accepted: 03/15/2024] [Indexed: 03/23/2024] Open
Abstract
OBJECTIVES This study aimed to compare the prevalence of oral frailty among community-dwelling older people in Nanjing, China with the usage of different measurements, and to investigate the potential risk factors of oral frailty. DESIGN Cross-sectional study. SETTING AND PARTICIPANTS A total of 338 community-dwelling older people in Nanjing, China were recruited. METHODS Oral frailty was measured based on the Oral Frailty Index-8 (OFI-8) scale and other measurement methods including the number of natural teeth (TN), repetitive saliva-swallowing test (RSST), and oral diadochokinesis (ODK). The chi-square test and the binary logistic regression analysis were performed to identify potential risk factors for oral frailty. RESULTS There were 310 participants included in the analysis. Prevalence of oral frailty by using the OFI-8, OFI-8 + TN, OFI-8 + ODK, OFI-8 + TN + ODK and RSST measurement methods were 69.0%, 27.4%, 51.9%, 21.0% and 2.9%, respectively. Passive smoking (OR = 2.04; 95%CI 1.03-4.03), being widowed/unmarried (OR1 = 2.53; 95%CI 1.25-5.10; OR2 = 2.94; 95%CI 1.12-7.77), pre-frailty (OR = 1.76; 95%CI 1.03-3.01), frailty (OR = 3.01; 95%CI 1.39-6.54), and aged 80 years and above (OR = 3.99; 95%CI 1.35-11.81) were found to be risk factors of oral frailty by the usage of the four kinds of measurement methods. CONCLUSIONS AND IMPLICATIONS The definition and diagnostic criteria of oral frailty are strongly needed to be unified in future research. Only subjective assessment is not enough for assessing oral frailty. Among objective indicators, RSST is not suitable as a screening method for oral frailty. In addition, objective indicators including TN and ODK should be valued for early screening and preventive interventions. The risk factors of oral frailty include physical frailty, passive smoking, and being widowed.
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Affiliation(s)
- Yueheng Yin
- School of Nursing, Nanjing Medical University, No.101 Longmian Avenue, Nanjing, 211166, Jiangsu, China
| | - Yue Zhao
- School of Nursing, Nanjing Medical University, No.101 Longmian Avenue, Nanjing, 211166, Jiangsu, China
| | - Yang Fei
- School of Nursing, Nanjing Medical University, No.101 Longmian Avenue, Nanjing, 211166, Jiangsu, China
| | - Ying Liu
- School of Nursing, Nanjing Medical University, No.101 Longmian Avenue, Nanjing, 211166, Jiangsu, China
| | - Yun Ji
- Chunhua Community Health Service Centre, Nanjing, 211166, Jiangsu, China
| | - Enfang Shan
- School of Nursing, Nanjing Medical University, No.101 Longmian Avenue, Nanjing, 211166, Jiangsu, China
| | - Shuzhen Niu
- School of Nursing, Nanjing Medical University, No.101 Longmian Avenue, Nanjing, 211166, Jiangsu, China
| | - Ying Xing
- School of Nursing, Nanjing Medical University, No.101 Longmian Avenue, Nanjing, 211166, Jiangsu, China
| | - Jingjing Ding
- Sir Run Run Hospital of Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - XianWen Li
- School of Nursing, Nanjing Medical University, No.101 Longmian Avenue, Nanjing, 211166, Jiangsu, China.
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4
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Ai M, Morris TP, Noriega de la Colina A, Thovinakere N, Tremblay-Mercier J, Villeneuve S, H Hillman C, Kramer AF, Geddes MR. Midlife physical activity engagement is associated with later-life brain health. Neurobiol Aging 2024; 134:146-159. [PMID: 38091752 DOI: 10.1016/j.neurobiolaging.2023.11.004] [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: 02/16/2023] [Revised: 11/02/2023] [Accepted: 11/06/2023] [Indexed: 01/02/2024]
Abstract
The relationship between midlife physical activity (PA), and cognition and brain health in later life is poorly understood with conflicting results from previous research. Investigating the contribution of midlife PA to later-life cognition and brain health in high-risk populations will propel the development of health guidance for those most in need. The current study examined the association between midlife PA engagement and later-life cognition, grey matter characteristics and resting-state functional connectivity in older individuals at high-risk for Alzheimer's disease. The association between midlife PA and later-life cognitive function was not significant but was moderated by later-life PA. Meanwhile, greater midlife moderate-to-vigorous PA was associated with greater grey matter surface area in the left middle frontal gyrus. Moreover, greater midlife total PA was associated with diminished functional connectivity between bilateral middle frontal gyri and middle cingulum, supplementary motor areas, and greater functional connectivity between bilateral hippocampi and right cerebellum, Crus II. These results indicate the potentially independent contribution of midlife PA to later-life brain health.
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Affiliation(s)
- Meishan Ai
- Department of Psychology, Northeastern University, Boston, MA 02115, USA.
| | - Timothy P Morris
- Department of Physical Therapy, Movement and Rehabilitation Sciences, Northeastern University, Boston, MA 02115, USA
| | - Adrián Noriega de la Colina
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Quebec H3G 2M1, Canada
| | | | - Jennifer Tremblay-Mercier
- STOP-AD CENTRE, Centre for Studies on Prevention of Alzheimer's Disease, Montreal, Quebec H4H 1R3, Canada; Douglas Mental Health University Institute Research Centre, Affiliated with McGill University, Montreal, Quebec H4H 1R3, Canada
| | - Sylvia Villeneuve
- STOP-AD CENTRE, Centre for Studies on Prevention of Alzheimer's Disease, Montreal, Quebec H4H 1R3, Canada; Douglas Mental Health University Institute Research Centre, Affiliated with McGill University, Montreal, Quebec H4H 1R3, Canada; Department of Psychiatry, McGill University, Montreal, Quebec H3A 1A1, Canada
| | - Charles H Hillman
- Department of Psychology, Northeastern University, Boston, MA 02115, USA; Department of Physical Therapy, Movement and Rehabilitation Sciences, Northeastern University, Boston, MA 02115, USA
| | - Arthur F Kramer
- Department of Psychology, Northeastern University, Boston, MA 02115, USA; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana Champaign, Urbana-Champaign, IL 61801, USA
| | - Maiya R Geddes
- Department of Neurology and Neurosurgery, Faculty of Medicine, McGill University, Montreal, Quebec H3G 2M1, Canada; Montreal Neurological Institute, Montreal, Quebec H3A 2B4, Canada; STOP-AD CENTRE, Centre for Studies on Prevention of Alzheimer's Disease, Montreal, Quebec H4H 1R3, Canada
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