181 results match your criteria: "Centre for Ageing and Health (AGECAP)[Affiliation]"
Cereb Circ Cogn Behav
December 2024
The George Institute for Global Health, Sydney, Australia.
Introduction: Cumulative blood pressure metrics may provide greater precision for measuring temporal risk exposure, especially in later life where data are mixed regarding associations of high blood pressure (BP) on cognitive function. We examined the relationship between greater cumulative exposure to high BP in later life and several domains of cognitive function.
Methods: Individual cognitive assessment scores and BP measurements in older adults (age ≥70 years) at baseline and over approximately 8 years of follow-up were available in the population-based Canadian Victoria Longitudinal Study (VLS) and Swedish Gothenburg H70 Birth Cohort Studies (H70).
J Biol Chem
January 2025
Institute for Biomedicine, Sahlgrenska Academy, Centre for Ageing and Health-AgeCap, University of Gothenburg, Sweden. Electronic address:
The mTOR (mechanistic target of rapamycin) signaling pathway appears central to the aging process as genetic or pharmacological inhibition of mTOR extends lifespan in most eukaryotes tested. While the regulation of protein synthesis by mTOR has been studied in great detail, its impact on protein misfolding and aggregation during stress and aging is less explored. In this study, we identified the mTOR signaling pathway and the linked SEA complex as central nodes of protein aggregation during heat stress and cellular aging, using Saccharomyces cerevisiae as a model organism.
View Article and Find Full Text PDFEBioMedicine
January 2025
Neuropsychiatric 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, Sweden.
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.
Alzheimers Dement
December 2024
Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden.
Introduction: This study investigated the associations of brain age gap (BAG)-a biological marker of brain resilience-with life exposures, neuroimaging measures, biological processes, and cognitive function.
Methods: We derived BAG by subtracting predicted brain age from chronological age in 739 septuagenarians without dementia or neurological disorders. Robust linear regression models assessed BAG associations with life exposures, plasma inflammatory and metabolic biomarkers, magnetic resonance imaging, and cerebrospinal fluid biomarkers of neurodegeneration and vascular brain injury, and cognitive performance.
Neural Regen Res
January 2025
Institute for Biomedicine, Sahlgrenska Academy, Centre for Ageing and Health - AgeCap, University of Gothenburg, Gothenburg, Sweden (Chawla S, Nystrom T).
Clin Proteomics
December 2024
Division of Affinity Proteomics, Department of Protein Science, KTH Royal Institute of Technology, SciLifeLab, Stockholm, Sweden.
Background: The effect of varying brain ventricular volume on the cerebrospinal fluid (CSF) proteome has been discussed as possible confounding factors in comparative protein level analyses. However, the relationship between CSF volume and protein levels remains largely unexplored. Moreover, the few existing studies provide conflicting findings, indicating the need for further research.
View Article and Find Full Text PDFNeurology
January 2025
From the Department of Physical Activity and Health (R.W.), the Swedish School of Sport and Health Sciences, GIH, Stockholm; Division of Clinical Geriatrics (R.W., A.M., O.L., S.S., M.S., M.K., E.W.), Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institute, Solna, Sweden; Wisconsin Alzheimer's Disease Research Center (R.W.), University of Wisconsin School of Medicine and Public Health, Madison; Centre for Ageing and Health (AgeCap) (J.S., O.L., T.R.S., S.K., A.Z., I.S.), Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal; Department of Psychology (J.S.), University of Gothenburg, Göteborg; Neuro Division (J.B.P.), Department of Clinical Neurosciences, Karolinska Institute, Stockholm; FINGERS Brain Health Institute (M.K.), Stockholm; Medical Unit Aging (M.K.), Karolinska University Hospital, Solna, Sweden; Ageing Epidemiology (AGE) Research Unit (M.K.), School of Public Health, Imperial College London, Medical School Building, St Mary's Hospital, United Kingdom; Institute of Public Health and Clinical Nutrition and Institute of Clinical Medicine (M.K.), Neurology, University of Eastern Finland, Kuopio; Aging Research Center (T.R.S.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University; and Department of Psychiatry Cognition and Old Age Psychiatry (I.S.), Sahlgrenska University Hospital, Region Västra Götaland, Mölndal, Sweden.
Background And Objectives: Individuals aged 70 and older frequently experience an increased risk of deficits in both physical and cognitive functions. However, the natural progression and interrelationship of these deficits, as well as their neurologic correlates, remain unclear. We aimed to classify the data-driven physical-cognitive phenotypes and then investigate their associations with neuroimaging markers.
View Article and Find Full Text PDFAm J Geriatr Psychiatry
December 2024
Department of Psychiatry and Neurochemistry (HW, JN, TRS, SK, IS), Neuropsychiatric Epidemiology Unit; Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Molndal, Sweden; Centre for Ageing and Health (AGECAP) (HW, JN, TRS, SK, IS), University of Gothenburg, Sweden; Region Vastra Gotaland, Psychiatry, Cognition and Old Age Psychiatry Clinic, (JN, SK, IS), Sahlgrenska University Hospital, Gothenburg, Sweden.
Brain Commun
August 2024
Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 171 77 Stockholm, Sweden.
J Vestib Res
August 2024
Neuropsychiatric Epidemiology Unit, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Centre for Ageing and Health (AgeCap), University of Gothenburg, Gothenburg, Sweden.
Neurology
September 2024
From the Faculty of Medicine and Health (M.J.L., D.M.L., B.C.P.L., J.D.C., P.S.S.), and Centre for Healthy Brain Aging (CHeBA) (M.J.L., D.M.L., B.C.P.L., J.D.C., P.S.S.), Discipline of Psychiatry & Mental Health, School of Clinical Medicine, University of New South Wales, Sydney; School of Psychology and Public Health (B.C.P.L.), La Trobe University, Melbourne; The George Institute for Global Health (A.E.S., R.P.), Barangaroo; School of Biomedical Sciences (R.P.), University of New South Wales, Sydney, Australia; School of Public Health (R.P.), Imperial College London, United Kingdom; School of Population Health (A.E.S.), University of New South Wales, Sydney, Australia; Neuropsychiatric Epidemiology Unit (T.R.-S., J.N., I.S.), Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy, Centre for Ageing and Health (AGECAP) at the University of Gothenburg; Aging Research Center (T.R.-S.), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University; Region Västra Götaland (J.N., I.S.), Sahlgrenska University Hospital, Psychiatry, Cognition and Old Age Psychiatry Clinic, Gothenburg, Sweden; Section Genomics of Neurodegenerative Diseases and Aging (J.N.), Department of Clinical Genetics, Vrije Universiteit Amsterdam, Amsterdam UMC, the Netherlands; Institute of Social Medicine (S.G.R.-H., S.R., A.P.), Occupational Health and Public Health (ISAP), Medical Faculty, University of Leipzig, Germany; School of Psychology (S.R.), Massey University, Albany Campus, Auckland, New Zealand; Global Brain Health Institute (GBHI) (S.R.), Trinity College Dublin, Ireland; Department of Medicine and Psychiatry (A.L., C.D.-l-C.), Universidad de Zaragoza; Instituto de Investigación Sanitaria Aragón (IIS Aragón) (A.L., C.D.-l-C., E.L.), Zaragoza; CIBERSAM (A.L., C.D.-l-C., E.L.), Madrid, Spain; Department of Preventive Medicine and Public Health (E.L.), Universidad de Zaragoza, Spain; Department of Neurology (R.B.L., M.J.K., C.A.D.), and Department of Epidemiology and Population Health (R.B.L., C.A.D.), Albert Einstein College of Medicine, Bronx, NY; Department of Neuropsychiatry (K.W.K., J.W.H.), Seoul National University Bundang Hospital, Seongnam; Department of Psychiatry (K.W.K., J.W.H.), Seoul National University College of Medicine; Department of Brain and Cognitive Sciences (K.W.K.), Seoul National University College of Natural Sciences; Workplace Mental Health Institute (D.J.O.), Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, South Korea; Golgi Cenci Foundation (E.R., A.D., M.R.), Abbiategrasso, Milan; Department of Brain and Behavioural Sciences (E.R.), University of Pavia, Italy; 1st Department of Neurology (N.S.), Aiginition Hospital, National and Kapodistrian University of Athens, Greece; Department of Neurology (N.S.), Columbia University, New York, NY; School of Health Sciences and Education (M.Y.), Department of Nutrition and Dietetics, Harokopio University; Department of Neurology (T.D.), University Hospital of Larissa; Faculty of Medicine (T.D.), School of Health Sciences, University of Thessaly, Larissa, Greece; Department of Psychiatry (H.C.H.), Indiana University School of Medicine; Indiana Alzheimer Disease Research Center (H.C.H., S.G.), Indiana Alzheimer Disease Research Center; Department of Biostatistics and Health Data Science (S.G.), Indiana University School of Medicine, Indianapolis; Institut for Neurosciences of Montpellier INM (I.C., K.R.), University Montpellier, INSERM; Institut du Cerveau Trocadéro (K.R.), Paris, France; School of Psychology (K.J.A.), and Ageing Futures Institute (K.J.A.), University of New South Wales; Neuroscience Research Australia (K.J.A.), Sydney; National Centre for Epidemiology and Population Health (N.C.), Australian National University, Canberra, Australia; Department of Geriatric Psychiatry (S.X., L.Y., W.L.), Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine; Alzheimer's Disease and Related Disorders Center (S.X., L.Y., W.L.), Shanghai Jiao Tong University, China; Inserm U1094 (M.G., P.-M.P., V.A.), IRD UMR270, Univ. Limoges, CHU Limoges, EpiMaCT-Epidemiology of Chronic Diseases in Tropical Zone, Institute of Epidemiology and Tropical Neurology, OmegaHealth, France; Laboratory of Chronic and Neurological Diseases Epidemiology (LEMACEN) (M.G.), Faculty of Health Sciences, University of Abomey-Calavi, Cotonou, Benin; Department of Cardiology (V.A.), Dupuytren 2 University Hospital, Limoges, France; School of Medicine (M.N.H.), University of California, San Francisco; Robert N. Butler Columbia Aging Center (A.A.), Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY; Departamento de Psiquiatria (M.S.), Faculdade de Medicina FMUSP, Universidade de Sao Paulo, Brazil; and Neuropsychiatric Institute (P.S.S.), Prince of Wales Hospital, Sydney, Australia.
medRxiv
June 2024
Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden.
Background: Brain computed tomography (CT) is an accessible and commonly utilized technique for assessing brain structure. In cases of idiopathic normal pressure hydrocephalus (iNPH), the presence of ventriculomegaly is often neuroradiologically evaluated by visual rating and manually measuring each image. Previously, we have developed and tested a deep-learning-model that utilizes transfer learning from magnetic resonance imaging (MRI) for CT-based intracranial tissue segmentation.
View Article and Find Full Text PDFLancet Public Health
July 2024
UCL Division of Psychiatry, University College London, London, UK; Camden and Islington NHS Foundation Trust, London, UK.
Background: Some cohort studies have reported a decline in dementia prevalence and incidence over time, although these findings have not been consistent across studies. We reviewed evidence on changes in dementia prevalence and incidence over time using published population-based cohort studies that had used consistent methods with each wave and aimed to quantify associated changes in risk factors over time using population attributable fractions (PAFs).
Methods: We searched for systematic reviews of cohort studies examining changes in dementia prevalence or incidence over time.
BMC Health Serv Res
May 2024
Centre for Person-Centred Care (GPCC), University of Gothenburg, Gothenburg, Sweden.
Background: The interplay of ethical stress, heavy workloads, and job dissatisfaction poses challenges to both the recruitment and retention of health and social care professionals. Person-centred care, rooted in ethical principles, involves collaborative care, and is expected to improve care and job satisfaction. However, prior research on the impact of person-centred care practices on professionals' work-related health and job satisfaction has yielded mixed results, and most studies emanate from residential care.
View Article and Find Full Text PDFJ Psychiatr Ment Health Nurs
December 2024
Department of Addiction and Dependency, Sahlgrenska University Hospital, Gothenburg, Sweden.
WHAT IS KNOWN ON THE SUBJECT?: In inpatient wards, there is a risk that conflicts occur when nursing staff interact with psychotic patients. The Interactive Approach (IA) model is an action-based model, used in psychiatric settings, to manage conflict situations. WHAT THIS PAPER ADDS TO EXISTING KNOWLEDGE?: The IA model can be used to improve communication between nursing staff and patients in numerous critical situations.
View Article and Find Full Text PDFInt J Dent Hyg
August 2024
Department of Behavioral and Community Dentistry, Institute of Odontology, The Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden.
Objectives: To evaluate the reliability of the new Oral Hygiene Ability Instrument (OHAI) developed to assess the cause of any inability for older adults to manage oral hygiene self-care. Oral hygiene is an important part of oral health. The inability to manage oral hygiene, combined with other risk factors, often results in poor oral health and impaired quality of life.
View Article and Find Full Text PDFAlzheimers Dement
June 2024
Alzheimer Centrum Limburg, Department of Psychiatry and Neuropsychology, Mental Health and Neuroscience (MHeNs) Research Institute, Maastricht University, Maastricht, The Netherlands.
Introduction: The LIfestyle for BRAin Health (LIBRA) index yields a dementia risk score based on modifiable lifestyle factors and is validated in Western samples. We investigated whether the association between LIBRA scores and incident dementia is moderated by geographical location or sociodemographic characteristics.
Methods: We combined data from 21 prospective cohorts across six continents (N = 31,680) and conducted cohort-specific Cox proportional hazard regression analyses in a two-step individual participant data meta-analysis.
BMC Health Serv Res
March 2024
Department of Health and Rehabilitation, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Box 455, SE-40530, Gothenburg, Sweden.
Background: Ensuring the transition towards person-centred care is a growing focus in health and social care systems globally. Presented as an ethical framework for health and social care professionals, such a transition requires strong leadership and organisational changes. However, there is limited guidance available on how to assist health and social care leaders in promoting person-centred practices.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
April 2024
Department of Microbiology and Immunology, Institute for Biomedicine, Sahlgrenska Academy, Centre for Ageing and Health-AgeCap, University of Gothenburg, Gothenburg 40530, Sweden.
A major consequence of aging and stress, in yeast to humans, is an increased accumulation of protein aggregates at distinct sites within the cells. Using genetic screens, immunoelectron microscopy, and three-dimensional modeling in our efforts to elucidate the importance of aggregate annexation, we found that most aggregates in yeast accumulate near the surface of mitochondria. Further, we show that virus-like particles (VLPs), which are part of the retrotransposition cycle of Ty elements, are markedly enriched in these sites of protein aggregation.
View Article and Find Full Text PDFGeriatr Nurs
June 2024
Sahlgrenska University Hospital, Gothenburg, Sweden; Institute of Health and Care Science, Sahlgrenska Academy, University of Gothenburg, Sweden; Chalmers University, Gothenburg, Sweden. Electronic address:
Among older adults living in dementia residential care facilities (RCF) behavioral and psychological symptoms (BPSD) are common, affecting the quality of life (QOL) for the residents as well as being challenging for the staff. The person-centered care (PCC) approach addresses BPSD by giving trained staff mandate to focus on the relation and to adapt the encounter and the environment to increase QoL for the person with dementia. The aims with this study were to improve PCC, decrease BPSD and improve QOL among older persons with dementia living in RCFs, and to explore leaders' and healthcare staff's experiences of a PCC intervention.
View Article and Find Full Text PDFIntroduction: White matter hyperintensities (WMHs) are an important imaging marker for cerebral small vessel diseases, but their risk factors and cognitive associations have not been well documented in populations of different ethnicities and/or from different geographical regions.
Methods: We investigated how WMHs were associated with vascular risk factors and cognition in both Whites and Asians, using data from five population-based cohorts of non-demented older individuals from Australia, Singapore, South Korea, and Sweden ( = 1946). WMH volumes (whole brain, periventricular, and deep) were quantified with UBO Detector and harmonized using the ComBat model.
Front Epidemiol
May 2023
Neuropsychiatric Epidemiology Unit, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
Background: Longitudinal studies are essential to understand the ageing process, and risk factors and consequences for disorders, but attrition may cause selection bias and impact generalizability. We describe the 1930 cohort of the Gothenburg H70 Birth Cohort Studies, followed from age 70 to 88, and compare baseline characteristics for those who continue participation with those who die, refuse, and drop out for any reason during follow-up.
Methods: A population-based sample born 1930 was examined with comprehensive assessments at age 70 ( = 524).
Alzheimers Dement (Amst)
February 2024
The relation between cerebrospinal fluid (CSF) biomarkers of Alzheimer's disease (AD) and magnetic resonance imaging (MRI) measures is poorly understood in cognitively healthy individuals from the general population. Participants' ( = 226) mean age was 70.9 years (SD = 0.
View Article and Find Full Text PDFFront Psychol
January 2024
Department of Classical Philology and Italian Studies, University of Bologna, Bologna, Italy.