Forskningsartikler

Accepted: 08 Aug 2024. Provisionally accepted

Objective: The quality of the relationship between persons with dementia and family carers influences health and quality of life outcomes. Little is known regarding those at higher risk of experiencing a decline in relationship quality, who could potentially benefit the most from interventions. We aimed to identify these risk profiles and explore the underlying factors.

Methods: We applied a latent profile analysis to relationship quality data from a 1-year follow-up of 350 dyads of persons with dementia and their informal carers from the Actifcare cohort in eight European countries. Assessments included sociodemographic, clinical, functional, psychosocial and quality of life measures. Relationship quality was assessed with the Positive Affect Index. A discriminant analysis explored factors influencing the risk profiles.

Results: There were two relationship quality profiles among persons with dementia (gradually decreasing, 74.0%; low but improving, 24.6%) and two among carers (steadily poor, 57.7%; consistently positive, 42.3%). The ‘gradually decreasing’ profile (persons with dementia) was related to their levels of dependence and unmet needs, along with carers’ social distress and negative feelings, lower baseline RQ and sense of coherence. The ‘steadily poor’ profile (carers) was influenced by their social distress and negative feelings, lower sense of coherence and perceived social support. These two predominant profiles showed significant decreases in quality-of-life over one year.

Conclusions: Specific profiles of persons with dementia and their carers are at risk of worse relationship quality trajectories. By considering modifiable related factors (e.g., carers’ stress), our findings can help develop tailored, effective interventions.

Maria J. Marques, Bob Woods, Hannah Jelley, Liselot Kerpershoek, Louise Hopper, Kate Irving, Anja Bieber, Astrid Stephan, Anders Sköldunger, Britt‐Marie Sjölund, Geir Selbæk, Janne Røsvik, Orazio Zanetti, Daniel M. Portolani, João Marôco, Niels Janssen, Eva Y.L. Tan, Marjolein de Vugt, Frans Verhey og Manuel Gonçalves-Pereira

Abstract

Background: The Clock Drawing Test (CDT) is used to screen for Alzheimer’s disease and other dementia disorders. Normative scores on the version from the Montreal Cognitive Assessment (MoCA) do not exist in the Nordic countries.

Objective: To examine the normative scores of the CDT among adults aged 70 years and older.

Methods: We included 4,023 cognitively healthy persons aged 70-97 years from a population survey in Norway. They were examined with the CDT, which has a total score between zero and three. A multiple multinominal regression model was applied with a CDT score as the dependent categorical variable and estimated the probabilities of scoring a particular score, stratified by age, sex, and education. These probabilities correspond to an expected proportion of the normative population scoring at, or below a given percentile.

Results: None scored zero, 2.1% scored one, 14.9% scored two, and 83% scored three. Higher age, female sex and fewer years of schooling were associated with poorer performance. Scores of zero and one deviated from the normative score regardless of age, sex and education. A score of two was within the norm for a female older than 81 and a male older than 85.

Conclusions: The majority (83%) of people 70 years and older had a score of three on the CDT. Lower age, male sex, and higher education were associated with a better performance. Scores of zero and one were below the normative score. Except for the very old, a score of two was also well below the normative score.

Knut Engedal, Jūratė Šaltytė Benth, Jørgen Wagle, Linda Gjøra, Geir Selbæk, Karin Persson

Abstarct:

The cerebellum is linked to motor coordination, cognitive and affective processing, in addition to a wide range of clinical illnesses. To enable robust quantification of individual cerebellar anatomy relative to population norms, we mapped the normative development and aging of the cerebellum across the lifespan using brain scans of >54,000 participants. We estimated normative models at voxel-wise spatial precision, enabling integration with cerebellar atlases. Applying the normative models in independent samples revealed substantial heterogeneity within five clinical illnesses: autism spectrum disorder, mild cognitive impairment, Alzheimer disease, bipolar disorder, and schizophrenia. Notably, individuals with autism spectrum disorder and mild cognitive impairment exhibited increased positive and negative extreme deviations in cerebellar anatomy, while those with schizophrenia and Alzheimer disease showed predominantly negative deviations. Finally, extreme deviations were associated with cognitive scores. Our results provide a voxel-wise mapping of cerebellar anatomy across the human lifespan demonstrating the cerebellum’s nuanced role in different clinical illnesses.

Milin Kim, Esten Leonardsen, Saige Rutherford, Geir Selbæk, Karin Persson, Nils Eiel Steen, Olav B. Smeland, Torill Ueland, Geneviève Richard, Christian F. Beckmann, Andre F. Marquand, Ole A. Andreassen, Lars T. Westlye, Thomas Wolfers & Torgeir Moberget

Key messages

Two new modifiable risk factors for dementia New evidence supports adding vision loss and high cholesterol as potentially modifiable risk factors for dementia to the 12 risk factors identified in our 2020 Lancet Commission (ie, less education, head injury, physical inactivity, smoking, excessive alcohol consumption, hypertension, obesity, diabetes, hearing loss, depression, infrequent social contact, and air pollution).

Gill Livingston, Jonathan Huntley, Kathy Y Liu, Sergi G Costafreda, Geir Selbæk, Suvarna Alladi, David Ames, Sube Banerjee, Alistair Burns, Carol Brayne, Nick C Fox, Cleusa P Ferri, Laura N Gitlin, Robert Howard, Helen C Kales, Mika Kivimäki, Eric B Larson, Noeline Nakasujja, Kenneth Rockwood, Quincy Samus, Kokoro Shirai, Archana Singh-Manoux, Lon S Schneider, Sebastian Walsh, Yao Yao, Andrew Sommerlad, Naaheed Mukadam

Marion Denos, Ernest Obeng Asante, Rannveig Sakshaug Eldholm, Geir Selbæk, Håvard Kjesbu Skjellegrind, Xiao-Mei Mai, Yue Chen, Yi-Qian Sun

Background
Physical activity (PA) is imperative for healthy ageing and is a modifiable lifestyle factor. Accurate, clinically meaningful estimates of daily PA among older adults can inform targeted interventions to maintain function and independence. This study describes daily PA in older adults across levels of care as a first step contributing to the limited evidence on potential associations between PA and the use of care services.

Methods
This study used data from the Trondheim 70 + cohort in the population-based Norwegian HUNT Study. In total, 1042 participants aged 70 years or older with valid activity data were included. PA was assessed using two accelerometers over 7 consecutive days and was classified into PA (walking, standing, running, and cycling) and sedentary behavior (sitting and lying). Data on received care services were retrieved from municipal registers and participants were classified into four levels of care: 1) independently living (81.9%), 2) independently living with low-level home care services (6.5%), 3) recipients of home care services (6.0%), and 4) nursing home residents (5.7%). Time spent in the activity types and duration of bouts are presented across levels of care.

Results
Participants mean age was 77.5 years (range: 70.1–105.4, 55% female) and PA was lower with higher age. Across levels of care, significant group differences were found in the total time spent in PA, particularly in walking and standing. Daily PA, duration of active bouts, and number of daily walking bouts were lower for participants receiving higher levels of care. Standing was the dominant type of PA and walking appeared predominantly in short bouts at all care levels.

Conclusions
This is the first population-based study using device-measured PA to describe daily PA across levels of care. The results showed that low-intensity activities constitute the primary component of everyday PA, advocating for placing greater emphasis on the significant role these activities play in maintaining daily PA at older age. Furthermore, the study demonstrated that activity types and bout durations are related to the ability to live independently among older adults. Overall, these findings can contribute to better target interventions to maintain function and independence in older adults.

Astrid Ustad, Karen Sverdrup, Gro Gujord Tangen, Øystein Døhl, Beatrix Vereijken, Pernille Thingstad, Nina Skjæret-Maroni

Abstract

The Assisted Living project (2016-2019) aimed to investigate older adults’ needs for digital technology for daily support and to develop technology solutions in collaboration with the user group. This paper presents data extracted from three sub-studies: Sub-study 1 investigated older homecare recipients’ use of and attitudes towards digital technology, sub-study 2 explored assisted living residents’ needs and requirements for technology, and sub-study 3 explored their experiences with environmental sensor technology to support safety and daily living. The aim was to explore how the occupational science concepts of doing, being, belonging, and becoming can provide a deeper understanding of technology use among participants in the Assisted Living Project. This study demonstrates that for older adults in the Assisted Living project to become technology users required both personal motivation and cognitive capacity for learning to use the device and become familiar with the technology, and access to internet and digital tools. Digitalization in society leads to new challenges for all citizens, especially those who are less familiar with using digital technology. By applying an occupational science perspective to technology use, this paper contributes to creating awareness about digital exclusion and occupational injustice. It provides a deeper understanding of use and non-use and the digital divide, such as the consequences of not having access to digital healthcare services, that may lead to breaches of democratic human rights.

Torhild Holthe, Liv Halvorsrud & Anne Lund

Abstract

Background/aims: The number of patients suffering from cognitive decline and dementia increases, and new possible treatments are being developed. Thus, the need for time efficient and cost-effective methods to facilitate an early diagnosis and prediction of future cognitive decline in patients with early cognitive symptoms is becoming increasingly important. The aim of this study was to evaluate whether an MRI based software, NeuroQuant® (NQ), producing volumetry of the hippocampus and whole brain volume (WBV) could predict: (1) conversion from subjective cognitive decline (SCD) at baseline to mild cognitive impairment (MCI) or dementia at follow-up, and from MCI at baseline to dementia at follow-up and (2) progression of cognitive and functional decline defined as an annual increase in the Clinical Dementia Rating Scale Sum of Boxes (CDR-SB) score.

Methods: MRI was performed in 156 patients with SCD or MCI from the memory clinic at Oslo University Hospital (OUH) that had been assessed with NQ and had a clinical follow-up examination. Logistic and linear regression analyses were performed with hippocampus volume and WBV as independent variables, and conversion or progression as dependent variables, adjusting for demographic and other relevant covariates including Mini-Mental State Examination-Norwegian Revised Version score (MMSE-NR) and Apolipoprotein E ɛ4 (APOE ɛ4) carrier status.

Results: Hippocampus volume, but not WBV, was associated with conversion to MCI or dementia, but neither were associated with conversion when adjusting for MMSE-NR. Both hippocampus volume and WBV were associated with progression as measured by the annual change in CDR-SB score in both unadjusted and adjusted analyses.

Conclusion: The results indicate that automated regional MRI volumetry of the hippocampus and WBV can be useful in predicting further cognitive decline in patients with early cognitive symptoms.

Rachel Amland, Geir Selbæk, Anne Brækhus, Trine H. Edwin, Knut Engedal, Anne-Brita Knapskog, Ellen Regine Olsrud, & Karin Persson

Abstract

Background: High blood pressure and poor cardiorespiratory fitness are independent risk factors for dementia. However, few studies have examined if combined longitudinal patterns of these modifiable risk factors are associated with dementia risk.

Methods: In this prospective cohort study, we used data from the population-based HUNT Study, Norway. We applied group-based multidimensional trajectory modeling to identify age-specific multidimensional trajectories of SBP, DBP and estimated cardiorespiratory fitness across three surveys (HUNT1, 1984-86 – HUNT3, 2006-08). Dementia was diagnosed in the HUNT4 70+ substudy in 2017-19. We used multivariate logistic regression to estimate odds ratios (ORs) and risk differences (RDs) of dementia.

Results: In total, 7594 participants (54.9% women) were included, with a mean age of 44.7 (SD 6.3) years at HUNT1. Dementia was diagnosed in 1062 (14.0%) participants. We identified two multidimensional trajectories throughout adulthood within three age groups: one with higher SBP and DBP, and lower estimated cardiorespiratory fitness (the poorer group), and one with lower SBP and DBP, and higher cardiorespiratory fitness (the better group). After adjustment for sex, APOE ε4 status, education, marital status and diabetes, the better group had consistently lower risk of dementia in all age groups with the lowest OR in the middle-aged group of 0.63 (95% CI 0.51, 0.78) with corresponding RD of -0.07 (95% CI -0.10, -0.04).

Conclusions: Having a beneficial multidimensional trajectory of SBP, DBP and cardiorespiratory fitness in adulthood was associated with reduced dementia risk. Aiming for optimal SBP, DBP and estimated cardiorespiratory fitness throughout adulthood may reduce dementia risk.

Maren Lerfald, Heather Allore, Tom I L Nilsen, Rannveig S Eldholm, Nicolas Martinez-Velilla, Geir Selbæk & Linda Ernstsen