Association of body composition with neuroimaging biomarkers and cognitive function; a population-based study of 70-year-oldsResearch in context
Summary: Background: A better understanding of body-brain links may provide insights on targets for preventing cognitive decline. The aim was to explore associations of body composition with neuroimaging biomarkers and cognitive function among dementia-free 70-year-olds. Methods: Dual-energy X-ray...
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Elsevier
2025-02-01
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| Series: | EBioMedicine |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352396424005917 |
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| author | Jessica Samuelsson Anna Marseglia Ola Wallengren Olof Lindberg Caroline Dartora Nira Cedres Sara Shams Silke Kern Anna Zettergren Eric Westman Ingmar Skoog |
| author_facet | Jessica Samuelsson Anna Marseglia Ola Wallengren Olof Lindberg Caroline Dartora Nira Cedres Sara Shams Silke Kern Anna Zettergren Eric Westman Ingmar Skoog |
| author_sort | Jessica Samuelsson |
| collection | DOAJ |
| description | Summary: Background: A better understanding of body-brain links may provide insights on targets for preventing cognitive decline. The aim was to explore associations of body composition with neuroimaging biomarkers and cognitive function among dementia-free 70-year-olds. Methods: Dual-energy X-ray absorptiometry body composition measures in relation to neuroimaging measures of cortical thickness, hippocampal volume, small vessel disease, predicted brain age, and cognitive performance were explored in a cross-sectional study of 674 dementia-free 70-year-olds from the Swedish Gothenburg H70 Birth Cohort study. Linear or ordinal regression analyses were performed. Findings: Higher quantity of muscle mass was associated with lower predicted brain age (β: −0.31 [95% CI: −0.45, −0.16], p: 0.00013). Those with normal level muscle mass (>7.0 men, >5.5 women kg/height m2) had overall thicker cortex (β: 0.043 [95% CI: 0.023, 0.064], p: 0.00016), thicker cortex in Alzheimer's disease signature regions (β: 0.051 [95% CI: 0.025, 0.076], p: 0.00040), and larger hippocampal volume (β: 111.52 [95% CI: 25.28, 197.75], p: 0.030) compared to those with sarcopenic level muscle mass. Higher accumulation of visceral fat was associated with overall thinner cortex (β: −0.017 [95% CI: −0.028, −0.005], p: 0.024). Faster gait speed and higher handgrip strength were associated with indicators of better brain health. Interpretation: Improving muscle mass fitness and lower visceral fat may be beneficial for brain health. Intervention studies are needed to confirm that targeting body composition can promote healthy brain ageing and reduce the risk of cognitive impairment among older adults. Funding: The Swedish Research Council, Hjärnfonden, and Alzheimerfonden. |
| format | Article |
| id | doaj-art-d85e9e5fe99447a2a57431856aafc8b1 |
| institution | Kabale University |
| issn | 2352-3964 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | EBioMedicine |
| spelling | doaj-art-d85e9e5fe99447a2a57431856aafc8b12025-01-09T06:14:08ZengElsevierEBioMedicine2352-39642025-02-01112105555Association of body composition with neuroimaging biomarkers and cognitive function; a population-based study of 70-year-oldsResearch in contextJessica Samuelsson0Anna Marseglia1Ola Wallengren2Olof Lindberg3Caroline Dartora4Nira Cedres5Sara Shams6Silke Kern7Anna Zettergren8Eric Westman9Ingmar Skoog10Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Sweden; Corresponding author.Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, SwedenDepartment of Medicine, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, SwedenDivision of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, SwedenDivision of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, SwedenDivision of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Psychology, Sensory Cognitive Interaction Laboratory (SCI-Lab), Stockholm University, Sweden; Department of Psychology, Faculty of Health Sciences, University Fernando Pessoa Canarias, Las Palmas de Gran Canaria, SpainDivision of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Radiology, Karolinska University Hospital, The Institution for Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Department of Radiology, Stanford University Hospital, Stanford, CA, USANeuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Sweden; Department of Neuropsychiatry, Sahlgrenska University Hospital, Region Västra Götaland, Mölndal, SwedenNeuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, SwedenDivision of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden; Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UKNeuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg, Sweden; Department of Psychiatry, Cognition and Old Age Psychiatry, Sahlgrenska University Hospital, Region Västra Götaland, Mölndal, SwedenSummary: Background: A better understanding of body-brain links may provide insights on targets for preventing cognitive decline. The aim was to explore associations of body composition with neuroimaging biomarkers and cognitive function among dementia-free 70-year-olds. Methods: Dual-energy X-ray absorptiometry body composition measures in relation to neuroimaging measures of cortical thickness, hippocampal volume, small vessel disease, predicted brain age, and cognitive performance were explored in a cross-sectional study of 674 dementia-free 70-year-olds from the Swedish Gothenburg H70 Birth Cohort study. Linear or ordinal regression analyses were performed. Findings: Higher quantity of muscle mass was associated with lower predicted brain age (β: −0.31 [95% CI: −0.45, −0.16], p: 0.00013). Those with normal level muscle mass (>7.0 men, >5.5 women kg/height m2) had overall thicker cortex (β: 0.043 [95% CI: 0.023, 0.064], p: 0.00016), thicker cortex in Alzheimer's disease signature regions (β: 0.051 [95% CI: 0.025, 0.076], p: 0.00040), and larger hippocampal volume (β: 111.52 [95% CI: 25.28, 197.75], p: 0.030) compared to those with sarcopenic level muscle mass. Higher accumulation of visceral fat was associated with overall thinner cortex (β: −0.017 [95% CI: −0.028, −0.005], p: 0.024). Faster gait speed and higher handgrip strength were associated with indicators of better brain health. Interpretation: Improving muscle mass fitness and lower visceral fat may be beneficial for brain health. Intervention studies are needed to confirm that targeting body composition can promote healthy brain ageing and reduce the risk of cognitive impairment among older adults. Funding: The Swedish Research Council, Hjärnfonden, and Alzheimerfonden.http://www.sciencedirect.com/science/article/pii/S2352396424005917Body compositionSarcopeniaNeuroimagingDual-energy X-ray absorptiometryMuscle massVisceral adipose tissue |
| spellingShingle | Jessica Samuelsson Anna Marseglia Ola Wallengren Olof Lindberg Caroline Dartora Nira Cedres Sara Shams Silke Kern Anna Zettergren Eric Westman Ingmar Skoog Association of body composition with neuroimaging biomarkers and cognitive function; a population-based study of 70-year-oldsResearch in context EBioMedicine Body composition Sarcopenia Neuroimaging Dual-energy X-ray absorptiometry Muscle mass Visceral adipose tissue |
| title | Association of body composition with neuroimaging biomarkers and cognitive function; a population-based study of 70-year-oldsResearch in context |
| title_full | Association of body composition with neuroimaging biomarkers and cognitive function; a population-based study of 70-year-oldsResearch in context |
| title_fullStr | Association of body composition with neuroimaging biomarkers and cognitive function; a population-based study of 70-year-oldsResearch in context |
| title_full_unstemmed | Association of body composition with neuroimaging biomarkers and cognitive function; a population-based study of 70-year-oldsResearch in context |
| title_short | Association of body composition with neuroimaging biomarkers and cognitive function; a population-based study of 70-year-oldsResearch in context |
| title_sort | association of body composition with neuroimaging biomarkers and cognitive function a population based study of 70 year oldsresearch in context |
| topic | Body composition Sarcopenia Neuroimaging Dual-energy X-ray absorptiometry Muscle mass Visceral adipose tissue |
| url | http://www.sciencedirect.com/science/article/pii/S2352396424005917 |
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