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BACKGROUND: Frailty in older people is a rising global health concern; therefore, monitoring prevalence estimates and presenting projections of future frailty are important for healthcare planning. AIM: To present current prevalence estimates of frailty and pre-frailty and future projections according to both dominant frailty models in a large population-based observational study including adults ≥ 70 years in Norway. METHODS: In this population-based observational study, we included 9956 participants from the HUNT4 70 + study, conducting assessments at field stations, homes, and nursing homes. Frailty was assessed using Fried criteria and a 35-item frailty index (HUNT4-FI). Inverse probability weighting and calibration using post-stratification weights and aggregated register data for Norway according to age, sex, and education ensured representativeness, and population projection models were used to estimate future prevalence. RESULTS: According to Fried criteria, the current prevalence rates of frailty and pre-frailty in people ≥ 70 years were 10.6% and 41.9%, respectively, and for HUNT4-FI 35.8% and 33.2%, respectively. Compared to previous European estimates we identified higher overall frailty prevalence, but lower prevalence in younger age groups. Projections suggest the number of Norwegian older adults living with frailty will close to double by 2040. CONCLUSION: Frailty in older people in Norway is more prevalent than previous European estimates, emphasising the imperative for effective interventions aimed to delay and postpone frailty and ensure healthcare system sustainability in an ageing population. Future planning should consider the great heterogeneity in health and functioning within the 70 + population.

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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.

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BACKGROUND AND PURPOSE: The aims were to compare the novel regional brain volumetric measures derived by the automatic software NeuroQuant (NQ) with clinically used visual rating scales of medial temporal lobe atrophy (MTA), global cortical atrophy-frontal (GCA-f), and posterior atrophy (PA) brain regions, assessing their diagnostic validity, and to explore if combining automatic and visual methods would increase diagnostic prediction accuracy. METHODS: Brain magnetic resonance imaging (MRI) examinations from 86 patients with subjective and mild cognitive impairment (i.e., non-dementia, n = 41) and dementia (n = 45) from the Memory Clinic at Oslo University Hospital were assessed using NQ volumetry and with visual rating scales. Correlations, receiver operating characteristic analyses calculating area under the curves (AUCs) for diagnostic accuracy, and logistic regression analyses were performed. RESULTS: The correlations between NQ volumetrics and visual ratings of corresponding regions were generally high between NQ hippocampi/temporal volumes and MTA (r = -0.72/-0.65) and between NQ frontal volume and GCA-f (r = -0.62) but lower between NQ parietal/occipital volumes and PA (r = -0.49/-0.37). AUCs of each region, separating non-dementia from dementia, were generally comparable between the two methods, except that NQ hippocampi volume did substantially better than visual MTA (AUC = 0.80 vs. 0.69). Combining both MRI methods increased only the explained variance of the diagnostic prediction substantially regarding the posterior brain region. CONCLUSIONS: The findings of this study encourage the use of regional automatic volumetry in locations lacking neuroradiologists with experience in the rating of atrophy typical of neurodegenerative diseases, and in primary care settings.

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The aim of this study was to assess the diagnostic validity of a deep learning-based method estimating brain age based on magnetic resonance imaging (MRI) and to compare it with volumetrics obtained using NeuroQuant (NQ) in a clinical cohort. Brain age prediction was performed on minimally processed MRI data using deep convolutional neural networks and an independent training set. The brain age gap (difference between chronological and biological age) was calculated, and volumetrics were performed in 110 patients with dementia (Alzheimer's disease, frontotemporal dementia (FTD), and dementia with Lewy bodies), and 122 with non-dementia (subjective and mild cognitive impairment). Area-under-the-curve (AUC) based on receiver operating characteristics and logistic regression analyses were performed. The mean age was 67.1 (9.5) years and 48.7% (113) were females. The dementia versus non-dementia sensitivity and specificity of the volumetric measures exceeded 80% and yielded higher AUCs compared to BAG. The explained variance of the prediction of diagnostic stage increased when BAG was added to the volumetrics. Further, BAG separated patients with FTD from other dementia etiologies with > 80% sensitivity and specificity. NQ volumetrics outperformed BAG in terms of diagnostic discriminatory power but the two methods provided complementary information, and BAG discriminated FTD from other dementia etiologies.

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Background: Mobility impairments, in terms of gait and balance, are common in persons with dementia. To explore this relationship further, we examined the associations between mobility and cerebrospinal fluid (CSF) core biomarkers for Alzheimer's disease (AD). Methods: In this cross-sectional study, we included 64 participants [two with subjective cognitive decline (SCD), 13 with mild cognitive impairment (MCI) and 49 with dementia] from a memory clinic. Mobility was examined using gait speed, Mini-Balance Evaluation Systems test (Mini-BESTest), Timed Up and Go (TUG), and TUG dual-task cost (TUG DTC). The CSF biomarkers included were amyloid-ß 42 (Aß42), total-tau (t-tau), and phospho tau (p-tau181). Associations between mobility and biomarkers were analyzed through correlations and multiple linear regression analyses adjusted for (1) age, sex, and comorbidity, and (2) SCD/MCI vs. dementia. Results: Aß42 was significantly correlated with each of the mobility outcomes. In the adjusted multiple regression analyses, Aß42 was significantly associated with Mini-BESTest and TUG in the fully adjusted model and with TUG DTC in step 1 of the adjusted model (adjusting for age, sex, and comorbidity). T-tau was only associated with TUG DTC in step 1 of the adjusted model. P-tau181 was not associated with any of the mobility outcomes in any of the analyses. Conclusion: Better performance on mobility outcomes were associated with higher levels of CSF Aß42. The association was strongest between Aß42 and Mini-BESTest, suggesting that dynamic balance might be closely related with AD-specific pathology.

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BACKGROUND: Population-based studies on physical performance provide important information on older people's health but rarely include the oldest and least-healthy segment of the population. The aim of this study was to provide representative estimates of physical performance by age, sex, and educational level based on recent data from a population-based health study in Norway that includes older people with a wide range in age and function. METHODS: In the fourth wave of the Trøndelag Health Study (2017-2019), all participants aged 70 + were invited to an additional examination of physical performance assessed by the Short Physical Performance Battery (SPPB), either by attending a testing station or by visits from ambulatory teams. The distribution and variation in SPPB total and subscores, as well as gait speed, are presented by sex, age, and educational level. RESULTS: The SPPB was registered in 11,394 individuals; 54.8% were women; the age range was 70-105.4 years, with 1,891 persons aged 85 + . SPPB scores decreased by 0.27 points (men) and 0.33 points (women) for each year of age, and gait speed by 0.02 m/sec (men) and 0.03 m/sec (women). Using a frailty cut-off for gait speed at < 0.8 m/sec, the proportion of participants categorized as frail increased from 13.9% in the 70-74 years cohort to 73.9% in participants aged 85 + . Level of education [Formula: see text] 10 years corresponded to 6 years (men) and 4 years (women) earlier onset of frailty (SPPB [Formula: see text] 9) compared to education [Formula: see text] 14 years. CONCLUSION: We found that the SPPB captured a gradual decline and wide distribution in physical performance in old age. The results provide information about physical performance, health status, and risk profiles at a population level and can serve as reference data for clinicians, researchers, and healthcare planners.

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BACKGROUND AND OBJECTIVES: Impaired spatial navigation is considered an early sign in many neurodegenerative diseases. We aimed to determine whether spatial navigation was associated with future dementia in patients with subjective cognitive decline (SCD) or mild cognitive impairment (MCI) and to explore associations between spatial navigation and biomarkers of Alzheimer disease (AD) and neurodegeneration. METHODS: This study included memory clinic patients without dementia in the longitudinal BioFINDER cohort. The Floor Maze Test (FMT) was used to assess spatial navigation at baseline. Conversion to dementia was evaluated at 2-year and 4-year follow-ups. At baseline, amyloid-ß 42/40 ratio, phosphorylated-tau (P-tau), and neurofilament light (NfL) were analyzed in CSF. Cortical thickness and volume of regions relevant for navigation and white matter lesion volume were quantified from MRI. The predictive role of the FMT for conversion to all-cause dementia was analyzed using logistic regression analyses in 2 models: (1) controlled for age, sex, and education and (2) adding baseline cognitive status and MMSE. Associations between FMT and biomarkers were adjusted for age, sex, and cognitive status (SCD or MCI). RESULTS: One hundred fifty-six patients with SCD and 176 patients with MCI were included. FMT total time was associated with progression to all-cause dementia in model 2 at 2-year (OR 1.10, 95% CI 1.04-1.16) and at 4-year follow-up (OR 1.10, 95% CI 1.04-1.16), i.e., a 10% increase in odds of developing dementia per every 10 seconds increase in FMT. In the adjusted analyses, P-tau and NfL were associated with FMT total time, as well as hippocampal volume, parahippocampal, and inferior parietal cortical thickness. Amyloid-ß 42/40 ratio was not associated with FMT total time. DISCUSSION: Impaired spatial navigation was associated with conversion to dementia within 2 and 4 years and with key CSF and MRI biomarkers for AD and neurodegeneration in patients with SCD and MCI. This supports its use in early cognitive assessments, but the predictive accuracy should be validated in other cohorts. CLASSIFICATION OF EVIDENCE: This is a Class I prospective cohort study demonstrating association of baseline markers of spatial recognition with development of dementia in patients with SCD or MCI at baseline.

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Background: Differences in survival between groups may reflect avoidable and modifiable inequalities. This study examines the 35-year mortality risk for adults aged 25-44 years in the mid-1980s with disability due to vision, hearing, or motor impairment; physical illness; or mental health problems. Methods: This Norwegian study was based on data from the Trøndelag Health Study (HUNT1, 1984-86, and HUNT2, 1995-97) linked to tax-registry data for deaths before 15 November 2019. Mortality risk was estimated by Cox regression analysis adjusted for age and sex. Sensitivity analysis included the following possible mediators: education, work, living situation, body mass index, systolic blood pressure and smoking. Findings: Of the 30,080 HUNT1 participants aged 25-44 years, 5071 (16.9%) reported having disability. During the 35 years of follow-up, 1069 (21.1%) participants with disability and 3107 (12.4%) without disability died. Individuals with any type of disability had 62% higher mortality risk compared to those without a disability, adjusted by age and sex. The highest mortality risks were observed for disability due to severe motor impairment (HR=3.67, 95%CI=2.89-4.67) and severe mental health problems (HR=3.40, 95%CI=2.75-4.23) compared to those without these disabilities. Increased mortality risk was found for all the included disability types. The associations were somewhat mediated, especially by education, work and living situation. Interpretation: This study shows that among adults aged 25-44 years, the risk of death increases with disability of different types and severity levels, particularly for disability related to mental health problems or motor impairment. Funding: None.

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BACKGROUND: Physical activity is important to health and wellbeing. People with dementia are less physically active than their cognitively healthy counterparts. Reasons for this are multifaceted, and are thought to be social, psychological, and physiological. People with dementia often use services such as home care, day care centres and nursing home, and according to the stage of disease they are less or more dependent on other people to take part in activities. To develop appropriate services to this patient group, their needs and preferences regarding physical activity must be recognized. The aim of the study was therefore to provide insight into experiences with physical activity in people with dementia. METHODS: The current study is part of a larger research project on needs in people with dementia. The main project included qualitative semi-structured interviews with 35 persons with dementia. 27 of the participants talked about their experience with physical activity. In the current study, the relevant findings on this theme were analysed separately. A phenomenological hermeneutic research design was applied. RESULTS: The analysis revealed three main categories regarding experiences with physical activity. To be physically active provided positive experiences such as feelings of mastering and post-exercise euphoria. To be physically active was meaningful. The daily walk was an important routine to many, and it gave meaningful content to the day. Keeping up with activities confirmed identity. Lastly, to be active was perceived as challenging. Participants described different barriers to being physically active such as a decline of physical function, lack of motivation and being dependent on others to go out. CONCLUSIONS: Many of the participants expressed that being physically active was important to them. It is essential that informal and formal carers are aware of the role physical activity plays in the lives of many people with dementia, so that appropriate measures can be taken to assure continued active living in order to preserve health and quality of life.

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In this systematic review and meta-analysis, we compared the spatial navigation performance of older adults with mild cognitive impairment (MCI), Alzheimer's Disease (AD), and other dementias, using healthy older adults as controls. In addition, we evaluated the possible influence of the environment type (virtual and real), protocol (object- or environment-based), and the navigation mode (active and passive navigation) on spatial navigation task performance. In total, 1372 articles were identified and 24 studies were included in the meta-analysis. We found a large effect size on the spatial navigation performance of patients with cognitive decline (standardized mean difference (SMD) = 0.87, confidence interval (CI95%) = 0.62-1.09, p < 0.001), especially amnestic MCI (SMD = 1.10, CI95% = 0.71-1.49, p < 0.001) and patients with AD (SMD = 1.60, CI95% = 1.25-1.95, p < 0.001). However, the tasks did not identify mixed and vascular dementia (SMD = 0.92, CI95% = -0.33-2.18, p = 0.15 and SMD = 0.65, CI95% = -0.67-1.97, p = 0.33, respectively). Spatial navigation ability assessed using the Floor Maze Test showed the largest effect size in differentiating healthy older adults and patients with cognitive decline (SMD = 1.98,CI95% = 1.00-2.97, p < 0.001). In addition, tasks that require walking showed the greatest differences between the two groups. These results suggest that spatial navigation impairment is important, but disease-specific behavioral biomarker of the dementia pathology process that can be identified even in the early stages.

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INTRODUCTION: One pathological hallmark of Alzheimer's disease (AD) is atrophy of medial temporal brain regions that can be visualized on magnetic resonance imaging (MRI), but not all patients will have atrophy. The aim was to use MRI to categorize patients according to their hippocampal atrophy status and to present prevalence of the subtypes, difference in clinical symptomatology and progression, and factors associated with hippocampal subtypes. METHODS: We included 215 patients with AD who had been assessed with the clinically available MRI software NeuroQuant (NQ; CorTechs labs/University of California, San Diego, CA, USA). NQ measures the hippocampus volume and calculates a normative percentile. Atrophy was regarded to be present if the percentile was ≤5. Demographics, cognitive measurements, AD phenotypes, apolipoprotein E status, and results from cerebrospinal fluid and amyloid positron emission tomography analyses were included as explanatory variables of the hippocampal subtypes. RESULTS: Of all, 60% had no hippocampal atrophy. These patients were younger and less cognitively impaired concerning global measures, memory function, and abstraction but impaired concerning executive, visuospatial, and semantic fluency, and more of them had nonamnestic AD, compared to those with hippocampal atrophy. No difference in progression rate was observed between the two groups. In mild cognitive impairment patients, amyloid pathology was associated with the no hippocampal atrophy group. CONCLUSION: The results have clinical implications. Clinicians should be aware of the large proportion of AD patients presenting without atrophy of the hippocampus as measured with this clinical MRI method in the diagnostic set up and that nonamnestic phenotypes are more common in this group as compared to those with atrophy. Furthermore, the findings are relevant in clinical trials.

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BACKGROUND AND PURPOSE: Persons with mild cognitive impairment (MCI) and Alzheimer dementia (AD) often experience gait and balance disturbances and depressive symptoms alongside their cognitive impairment. The aim of this study was to explore the relationship between mobility and depressive symptoms in community-dwelling persons with MCI and mild to moderate AD. METHODS: Ninety-nine participants with MCI and AD from the memory clinic at Oslo University Hospital, Ullevål, Norway, were included. The Balance Evaluation Systems Test (BESTest), 10-m walk test regular (gait speed), and dual task (naming animals, dual-task cost in percent) were used to assess mobility. The Cornell Scale for Depression in Dementia, with validated cut-off 5/6 points, was used to assess presence of depressive symptoms. Multiple regression analysis was used to explore the relationship between mobility (3 separate models) and depressive symptoms, controlled for demographic factors, comorbidity, and Mini-Mental State Examination. RESULTS: One-third of the participants had depressive symptoms, mean (SD) gait speed was 1.09 (0.3) m/s, and median (interquartile range) BESTest percent score was 81.5 (17.6). No statistically significant associations were found between depression and BESTest, gait speed or dual-task cost, neither in the simple models (P = 0.15-0.85), nor in the 3 multivariate models (P = 0.57-0.69). DISCUSSION AND CONCLUSIONS: In this study, we found no associations between mobility and depressive symptoms in persons with MCI and AD recruited at a memory clinic. Few participants had major symptoms of depression, which may have influenced the results. Longitudinal studies are needed to explore the long-time associations between mobility and depression.Video Abstract available for more insights from the authors (see the Video, Supplemental Digital Content 1, available at: http://links.lww.com/JNPT/A366).

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Elevated peripheral expression of homocysteine (Hcy) is associated with an increased risk of coronary heart disease and stroke, diabetes, and cancer. It is also associated with cognitive impairment as it has been reported that high levels of Hcy cause cognitive dysfunction and memory deficit. Among several etiological factors that contribute to the pathogenesis of neurodegenerative diseases, including Alzheimer's disease (AD), Hcy seems to directly contribute to the generation of neurotoxicity factors. This study aims to hypothesize the molecular mechanism by which exercise can reduce the risk of neurological complications promoted by hyperhomocysteinemia (HHcy), and discuss how exercise could reduce the risk of developing AD by using bioinformatics network models. According to the genes network, there are connections between proteins and amino acids associated with Hcy, exercise, and AD. Studies have evidenced that exercise may be one of several processes by which acid nitric availability can be maximized in the human body, which is particularly important in reducing cell loss and tau pathology and, thereby, leading to a reduced risk of complications associated with HHcy and AD.

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Objective: This study aimed to explore the magnitude and significance of associations among nutritional status, functional status, comorbidities, age, and gender in older adults receiving assistance from the in-home nursing care service. Method: In this cross-sectional study, 210 home-dwelling persons 65 years or older who received in-home nursing care service were evaluated. Demographic variables, nutritional status, comorbidities, and the dependency levels of activities of daily living were analyzed. To assess the correlation among the factors that influence nutritional status, a theoretical model was developed and adjusted using the path analysis model. Results: The primary finding is that functional status is directly associated with nutritional status (ß = 0.32; p < 0.001) and severity of comorbidities is indirectly associated with nutritional status (ß = -0.07; p < 0.017). Conclusion: The elicited outcomes in this study reinforce the concept that nutritional status is linked with functional status in older adults receiving in-home care nursing service.

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BACKGROUND: Traditional performance-based measurements of mobility fail to recognize the interaction between the individual and their environment. Life-space (LS) forms a central element in the broader context of mobility and has received growing attention in gerontology. Still, knowledge on LS in the nursing home (NH) remains sparse. The aim of this study was to identify LS trajectories in people with dementia from time of NH admission, and explore characteristics associated with LS over time. METHODS: In total, 583 people with dementia were included at NH admission and assessed biannually for 3 years. LS was assessed using the Nursing Home Life-Space Diameter. Association with individual (age, sex, general medical health, number of medications, pain, physical performance, dementia severity, and neuropsychiatric symptoms) and environmental (staff-to-resident ratio, unit size, and quality of the physical environment) characterises was assessed. We used a growth mixture model to identify LS trajectories and linear mixed model was used to explore characteristics associated with LS over time. RESULTS: We identified four groups of residents with distinct LS trajectories, labelled Group 1 (n = 19, 3.5%), Group 2 (n = 390, 72.1%), Group 3 (n = 56, 10.4%), Group 4 (n = 76, 14.0%). Being younger, having good compared to poor general medical health, less severe dementia, more agitation, less apathy, better physical performance and living in a smaller unit were associated with a wider LS throughout the study period. CONCLUSION: From NH admission most NH residents' LS trajectory remained stable (Group 2), and their daily lives unfolded within their unit. Better physical performance and less apathy emerged as potentially modifiable characteristics associated with wider LS over time. Future studies are encouraged to determine whether LS trajectories in NH residents are modifiable, and we suggest that future research further explore the impact of environmental characteristics.

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INTRODUCTION: The aims were to examine if the total and item scores on the Montreal Cognitive Assessment (MoCA) and the Mini-Mental State Examination (MMSE) and self-reported memory problems differed between older women and men, and if self-reported memory problems were associated with scores on the 2 tests. METHODS: We included 309 home-dwelling people aged 70 years and older, 155 women, mean age 75.6 (SD 4.1) years, and 154 men, mean age 76.0 (SD 4.6) years. They were examined with MoCA and MMSE, and they answered 2 questions: "have you experienced any memory problems" and "have you experienced significant memory problems the last 5 years?" RESULTS: The participants scored significantly higher on the MMSE (women 28.0 [1.8], men 28.4 [1.4]) than on MoCA (women 24.6 [3.3], men 24.3 [3.1]). Spearman's rho was 0.36 between the tests. Women scored significantly higher than men on delayed recall of MoCA (3.0 [1.6] vs. 2.4 [1.6]), whereas men scored significantly higher on visuoconstruction (3.8 [1.2] vs. 3.5 [1.0]) and serial subtraction on MoCA (2.7 [0.6] vs. 2.5 [0.8]) and serial sevens on MMSE (4.5 [0.8] vs. 4.1 [1.1]). Multivariate linear regression analyses revealed that female sex, younger age, and higher education were associated with a higher score on MoCA, whereas age and education were associated with a higher score on MMSE. About half of the participants (no sex difference) had experienced significant memory problems the last 5 years, and they had significantly lower scores on both tests. CONCLUSIONS: The MoCA score was associated with sex, age, and education, whereas sex did not influence the MMSE score. The question "have you experienced significant memory problems the last 5 years?" may be useful to evaluate older people's cognition.

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BACKGROUND: Literature on physical performance in older adults across the cognitive spectrum remains inconclusive, and knowledge on differences between dementia subtypes is lacking. We aim to identify distinct physical-performance deficits across the cognitive spectrum and between dementia subtypes. METHODS: 11,466 persons were included from the 70-year-and-older cohort in the fourth wave of the Trøndelag Health Study (HUNT4 70+). Physical performance was assessed with the Short Physical Performance Battery (SPPB), 4-meter gait speed, five-times-sit-to-stand (FTSS), grip strength and one-leg-standing (OLS). Clinical experts diagnosed dementia per DSM-5 criteria. Multiple linear and logistic regression were performed to analyze differences between groups. Age, sex, education, somatic comorbidity, physical activity and smoking status were used as covariates. RESULTS: Gait speed declined across the cognitive spectrum, beginning in people with subjective cognitive decline (SCD). Participants with mild cognitive impairment (MCI) additionally showed reduced lower-limb muscle strength, balance and grip strength. Those with dementia scored lowest on all physical-performance measures. Participants with Alzheimer's disease (AD) had a higher SPPB sum score and faster gait speed than participants with vascular dementia (VaD) and Lewy body dementia (LBD); participants with VaD and LBD had lower odds of being able to perform FTSS and OLS than participants with AD. CONCLUSIONS: Physical performance declined across the spectrum from cognitively healthy to SCD to MCI and to dementia. Participants with AD performed better on all assessments except grip strength than participants with VaD and LBD. Stage of cognitive impairment and dementia subtype should guide exercise interventions to prevent mobility decline and dependency.

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OBJECTIVES: To explore factors from the acute phase, and after three and 12 months, associated with level of self-reported physical activity 12 months after a minor ischemic stroke with National Institutes of Health Stroke Scale (NIHSS) score ≤ 3 in persons 70 years or younger. MATERIALS AND METHOD: In this longitudinal cohort study patients were recruited consecutively from two stroke units. Activity level were measured with three sets of questions addressing the average number of frequency (times exercising each week), the average intensity, and duration (the average time), and a sum score was constructed. The association between physical activity 12 months after stroke and sociodemographic factors, NIHSS, body mass index, balance, and neuropsychiatric symptoms were explored using multiple linear regression. RESULTS: This study included 101 patients, with mean age (SD) 55.5 (11.4) years, NIHSS median (Q1, Q3) 0.0 (0.0, 1.0), and 20 % were female. Multiple linear regression analyses showed sick leave status at stroke onset, balance at three and 12 months, and anxiety, depression, apathy, and fatigue at 12 months to be factors associated with physical activity at 12 months after stroke. CONCLUSION: We found that pre-stroke sick leave, post-stroke balance, and neuropsychiatric symptoms were associated with the level of physical activity one year after minor stroke. This might be of importance when giving information about physical activity and deciding about post-stroke follow-up.

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BACKGROUND: This study aimed to investigate whether white matter lesions (WML), ß-amyloid-, and tau pathologies are independently associated with mobility, dual tasking, and dynamic balance performance in older nondemented individuals. METHODS: We included 299 older people (mean, SD, age: 71.8, 5.6 years) from the Swedish BioFINDER study, whereof 175 were cognitively unimpaired and 124 had mild cognitive impairment (MCI). In multivariable regression analyses, dependent variables included mobility (Timed Up & Go [TUG]), dual tasking (TUG with a simultaneous subtraction task, that is, TUG-Cog, as well as dual task cost), and balance (Figure-of-eight). The analyses were controlled for age, sex, education, diagnosis (ie, MCI), and comorbidity (stroke, diabetes, and ischemic heart disease). Independent variables included WML volume, and measures of ß-amyloid (abnormal cerebrospinal fluid [CSF] Aß42/40 ratio) and tau pathology (CSF phosphorylated tau [p-tau]). RESULTS: Multivariable regression analyses showed that an increased WML volume was independently associated with decreased mobility, that is, TUG (standardized ß = 0.247; p < .001). Tau pathology was independently associated with dual tasking both when using the raw data of TUG-Cog (ß = 0.224; p = .003) and the dual-task cost (ß= -0.246; p = .001). Amyloid pathology was associated with decreased balance, that is, Figure-of-eight (ß = 0.172; p = .028). The independent effects of WML and tau pathology were mainly observed in those with MCI, which was not the case for the effects of amyloid pathology on balance. CONCLUSIONS: Common brain pathologies have different effects where WML are independently associated with mobility, tau pathology has the strongest effect on dual tasking, and amyloid pathology seems to be independently associated with balance. Although these novel findings need to be confirmed in longitudinal studies, they suggest that different brain pathologies have different effects on mobility, balance, and dual-tasking in older nondemented individuals.

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