Prediction of long-term functional outcome following different rehabilitation pathways after stroke unit discharge.

OBJECTIVE: To investigate whether referral for different types of rehabilitation on discharge from Swedish stroke units can predict functional outcomes at 1 and 5 years after a stroke. DESIGN: A longitudinal and registry-based study. SUBJECTS/PATIENTS: A total of 5,118 participants with index stroke in 2011 were followed-up at 1 and 5 years after the stroke. METHODS: Ordinal logistic regression models were developed to predict the category of functional outcome: independent, dependent, or dead. The primary predictors were planned rehabilitation in a home setting, inpatient rehabilitation, and outpatient rehabilitation, with no planned rehabilitation as the reference category. RESULTS: Planned outpatient rehabilitation predicted independence (compared with death) at 1 year. Planned rehabilitation in the home setting predicted independence (compared with death) at 1 and 5 years. Compared with other planned pathways, participants planned for inpatient rehabilitation had more severe conditions, and planned inpatient rehabilitation did not predict independence. CONCLUSION: Planning for outpatient or home-based rehabilitation appeared to lead more effectively to participants achieving independence over the course of 1-5 years. This may have been due to the less severe nature of these participants' conditions, compared with those requiring inpatient rehabilitation.

Variations in respiratory and functional symptoms at four months after hospitalisation due to COVID-19: a cross-sectional study.

BACKGROUND: Much remains unknown about complex respiratory symptoms after COVID-19. Here we aimed to describe and analyse patients' various respiratory symptoms 4 months after discharge from hospitalisation for COVID-19, focusing on sex, previous pulmonary disease, and prolonged mechanical ventilation. METHODS: This cross-sectional study involved five hospitals and included 52 patients with self-assessed respiratory dysfunction at 4 months after discharge from hospitalisation for severe COVID-19. Their average age was 63 years, 38% were women, 15 had a previous diagnosed pulmonary disease, and 29 were current or previous smokers. Additionally, 31 had required intensive care-among whom 21 were intubated and 11 needed mechanical ventilation for ≥20 days. Respiratory function was tested concerning lung volumes, expiratory flow, muscle strength, physical capacity (including concurrent oxygen saturation), thoracic expansion, and respiratory movements. RESULTS: Among 52 patients, 47 (90%) had one or several objectively measured respiratory function abnormalities. Decreased thoracic expansion was observed in 32 patients (62%), abnormal respiratory movements in 30 (58%), decreased vital capacity in 21 (40%), low physical function in 13 (26%), and desaturation during the test in 9 (17%). Respiratory inspiratory muscle strength was more commonly diminished than expiratory strength (27% vs. 8%). We did not observe differences between men and women, or between patients with versus without diagnosed pulmonary disease, except that those with pulmonary disease had significantly lower physical capacity assessed with 6MWD (70% vs. 88% predicted, p = 0.013). Compared to those who did not, patients who required ≥20 days of mechanical ventilation performed similarly on most tests, except that all thoracic breathing movements were significantly smaller (p < 0.05). The numbers and combinations of abnormal findings varied widely, without clear patterns. CONCLUSION: Patients with remaining respiratory symptoms 4 months after discharge from hospitalization due to COVID-19 may suffer from various abnormal breathing functions, and dysfunctional breathing that is not detected using traditional measurements. These patients may benefit from multidimensional measuring of breathing movement, thoracic expansion, and respiratory muscle strength, along with traditional measurements, to assess their symptoms and enable prescription of optimal treatment interventions and rehabilitation. TRIAL REGISTRATION: FoU i Sverige (Research & Development in Sweden, Registration number: 274476, registered 2020-05-28).

Sick leave one year after COVID-19 infection: a nationwide cohort study during the first wave in Sweden.

This study aimed to investigate the patterns of sick leave, as well as factors associated with sick leave due to COVID-19 during one year after the COVID-19 diagnosis, and sex-related aspects on sick leave. This nationwide study involved 11,902 individuals who received sickness benefits for COVID-19 during the first wave of the pandemic. Data from three Swedish registries were analyzed for sick leave that commenced between March 1 and August 31, 2020, with a follow-up period of 12 months. Sick leave due to COVID-19 was counted as the number of days with sickness benefits and required to include at least one registered COVID-19 diagnosis. The median duration of sick leave was 35 days, and 347 (2.9%) individuals continued their sick leave during the entire follow-up period. Furthermore, 1 year later, the cumulative incidence of sick leave was slightly higher in males (3.5%) compared to females (2.7%). Older age, being single with no children, diagnosed with the virus, medium income level, history of sick leave, and need for inpatient care were significantly associated with a higher duration of sick leave due to COVID-19, both in the total population and when stratified by sex. These results indicated that three out of 100 (3%) patients were still on sick leave 1 year after their COVID-19 diagnosis. Aspects regarding the importance of sick leave duration differed between males and females and comprised sociodemographic characteristics and need for inpatient care. The results indicated the complexity of sick leave due to COVID-19.

Figuring Out Life After Covid-19: a Qualitative Study From Sweden.

OBJECTIVE: To obtain a deeper understanding of the daily life experiences of working aged people during the year following hospitalization due to SARS-CoV-2 (COVID-19), with a focus on function-ing in daily life and return to work. DESIGN: An explorative qualitative study using individual interviews. SUBJECTS: A purposive sample was selected of persons who had received inpatient hospital care, had been discharged approximately 1 year previously and were of working age. METHODS: Semi-structured interviews were conducted with 11 participants (9 men, 2 women). The interviews were transcribed and analysed with inductive thematic analysis. RESULTS: Four themes were identified. Navigating health, with or without support from healthcare, was described as challenging when managing consequences of COVID-19. Participants struggled with a lack of energy that interfered with daily life. It was a trial-and-error process trying to use familiar strategies in new ways to manage. The return to work process was facilitated by own strategies and support. CONCLUSION: This study contributes increased knowledge of everyday life experiences of people 1 year following hospitalization due to COVID-19. The lack of energy and a struggle to manage health while navigating the healthcare system emphasize the importance of strengthening personal and organizational health literacy to facilitate the recovery process after severe COVID-19.

Understanding concerns after severe COVID-19: A self-imposed lockdown guarded by anxiety?

OBJECTIVE: Many people are struggling to get back to their lives after severe COVID-19. To facilitate their reintegration into everyday life, we need to understand how the process is experienced. We aimed to gain deeper knowledge about this process by interviewing persons one year after hospitalisation due to COVID-19. METHODS: The study is based on a qualitative design, with eleven in-depth interviews conducted one year after discharge for COVID-19. Participants were recruited to form a heterogeneous sample with respect to age, gender and socioeconomic background. All interviews were analysed utilising inductive thematic analysis. RESULTS: From the participants' narratives four themes were identified: 'Concerns and worries in everyday life', 'Supportive and concerned relatives', 'A new way of life-sorrows and advantages' and 'Seize the day-a greater awareness of one´s mortality'. Participants described how they tried to create a functioning everyday life. They were generally afraid of getting COVID-19 again and concerned about future life, where their lack of energy played a major role. Narratives were diverse regarding to what extent the struggle to cope was experienced as emotionally challenging or not. CONCLUSIONS: Participants described an unpredictable recovery after COVID-19, characterised by ups and downs, which created worries concerning their future. In some cases, the worry of getting COVID-19 again was strong enough to keep participants in their homes, as a self-imposed lockdown guarded by anxiety. However, the narratives also revealed gratitude towards being alive and having coped so well. This led to a more positive outlook on life with a greater focus on intrinsic values, close social relations and the deeper meaning of life.

Car accidents in drivers with Parkinson's disease or multiple sclerosis: A Swedish nationwide study.

BACKGROUND AND PURPOSE: Parkinson's disease (PD) and multiple sclerosis (MS) can impair driving. However, we lack evidence on car accidents associated with these diseases. The aims of this study were to examine what types of car accident were associated with drivers with PD and MS, compared to individuals with ulcerative colitis (UC; the comparison group), and to evaluate the occurrence of car accidents in relation to years since diagnosis. METHODS: This retrospective nationwide, registry-based study included drivers involved in car accidents between 2010 and 2019, based on the Swedish Traffic Accident Data Acquisition database. Data on pre-existing diagnoses were retrieved retrospectively from the National Patient Registry. Data analyses included group comparisons, time-to-event analysis, and binary logistic regression. RESULTS: In total, 1491 drivers, including 199 with PD, 385 with MS, and 907 with UC, were registered to have been involved in a car accident. The mean time from diagnosis to the car accident was 5.6 years for PD, 8.0 years for MS, and 9.4 years for UC. Time to car accident since diagnosis differed significantly (p < 0.001) among groups (adjusted for age). Drivers with PD had more than twice the odds of a single-car accident than drivers with MS or UC, but no differences were observed between MS and UC. CONCLUSIONS: Drivers with PD were older and experienced the car accident within a shorter timeframe after disease diagnosis. Although several factors may cause a car accident, fitness to drive could be more thoroughly evaluated for patients with PD by physicians, even early after the diagnosis.

Impact of pre-pandemic sick leave diagnoses on the length of COVID-19-related sick leave: a nationwide registry-based study.

BACKGROUND: The COVID-19 pandemic has caused difficulties and changes in many aspects of people's health and lives. Although infection affected work capacity, during the first wave policies for sick leave due to COVID-19 were unclear. The aim of this study was to investigate the impact of sick leave diagnoses in the year before the COVID-19 diagnosis  on sick leave duration due to COVID-19 in a nationwide non-hospitalised population. METHODS: Data from three Swedish registries were analysed for sick leave commencing between 1 March and 31 August 2020, with a follow-up period of 4 months. Sick leave due to COVID-19 was considered the number of days that sickness benefits were used and included at least one registered COVID-19 diagnosis. Sick leave in the year before COVID-19 diagnosis were categorised into five diagnostic groups and one reference group (participants without prior sick leave). RESULTS: The study comprised 8935 individuals who received sickness benefits due to COVID-19 in Sweden during the first pandemic wave (mean age 46.7 years, 67% females, and 24% had diagnoses for sick leave in the year before COVID-19 diagnosis). The duration of sick leave due to COVID-19 was significantly higher in the groups with prior sick leave owing to musculoskeletal system diseases (odds ratio [OR]: 1.08, 95% confidence interval [CI]: 1.01-1.15); respiratory system diseases (OR: 1.22, 95% CI: 1.14-1.31); all other isolated diagnoses (OR: 1.08, 95% CI: 1.03-1.14); and multiple diagnoses (OR: 1.32, 95% CI: 1.21-1.43). CONCLUSIONS: The results of this nationwide registry-based study indicate that individuals with premorbid conditions are more prone to longer sick leave durations due to COVID-19. Prediction of sick leave duration during the first wave of the COVID-19 pandemic is complex and several factors played a role.

Back to life: Is it possible to be myself again? A qualitative study with persons initially hospitalised due to COVID-19.

OBJECTIVE: To gain a deeper understanding of the lived experiences of patients with COVID-19, regarding rehabilitation, work and social life 6 months after hospital discharge. DESIGN: An explorative qualitative study with individual interviews. SUBJECTS: Patients of working age with persistent self-reported symptoms at a 3-month follow-up who had received inpatient hospital care with discharge approximately 6 months previously were purposively sampled. METHODS: Semi-structured interviews were performed with 10 men and 5 women. The interviews were transcribed verbatim and analysed with inductive thematic analysis. RESULTS: Four themes were identified: "Social support - crucial, but decreased over time", "Varying needs of, and access to, rehabilitation", "Returning to work after COVID-19 - crucial for future prospects" and "An overwhelming experience that essentially changed one's personality". CONCLUSION: Rehabilitation provided participants with the valuable tools for recovery, giving them hope for future recovery. Support from next of kin was highly valued, creating stronger family bonds. A new meaning and greater appreciation of life was expressed.

Recovering from COVID-19 - A Process Characterised by Uncertainty: A Qualitative study.

OBJECTIVE: To obtain a deeper understanding of the lived experiences of patients with COVID-19, the recovery process and consequences for everyday life 6 months after hospital discharge. DESIGN: An explorative qualitative study using individual interviews. SUBJECTS: A purposive sampling was applied to recruit persons who had received inpatient hospital care, were discharged approximately 6 months previously, were of working age and had persistent self-reported symptoms at a 3-month follow-up appointment. METHODS: Semi-structured interviews were conducted with 15 participants (10 men, 5 women), which were then transcribed and analysed with inductive thematic analysis. RESULTS: Three themes were identified: "Status of recovery - two steps forward, one step back", "Remaining symptoms caused limitations in everyday life" and "Strategies for recovery". Participants indicated the recovery process through 6 months after discharge was a challenging road, often involving setbacks. A wide range of persistent, fluctuating, or new symptoms negatively impacted many areas of daily life, with fatigue and lack of energy being especially prominent. Participants used a variety of strategies to cope and recover. CONCLUSION: This study increases our knowledge of the lived experiences of COVID-19 based individual experiences. Unexpected symptoms in the recovery process were described and not always possible to forecast.

Self-Assessed Aspects of Health 3 Months after COVID-19 Hospitalization-A Swedish Cross-Sectional Study.

It is not yet fully understood how the patients self-assess their overall health in the early recovery after COVID-19 and if certain patient groups are more prominent in perceived long-time effects of COVID-19. The aim of this study was to describe self-assessed aspects of health in body function, activity and participation 3 months after hospitalization due to COVID-19 and identify difference between groups depending in age, sex and level of hospital care. This cross-sectional study consists of self-assessed aspects of health and recovery in 168 participants (mean age 64 years old, 69% men) previously hospitalized patients due to COVID-19. We have previously published data, from hospital discharge, on this cohort were predominantly the older patients and previous ICU-treated participants were affected. In this study there were differences in between groups. Of the study population 72% perceived fatigue, 64% respiratory difficulties, 37% perceived symptoms of anxiety. Three-months after COVID-19 this cohort was overall still affected. The recovery process is multifaced and the cohort heterogeneous, hence the rehabilitation needs to be highly individualized, and the follow-up of this patient group is of importance regardless of age, sex and previous level of hospital care.

Fatigue after acquired brain injury impacts health-related quality of life: an exploratory cohort study.

This study aimed to identify the consequences of fatigue, fatigability, cognitive and executive functioning, and emotional state on health-related quality of life (HRQoL) in a clinical group of outpatients after acquired brain injury (ABI). This cross-sectional retrospective study included assessing outpatients at a rehabilitation clinic with WAIS-III working memory and coding subtests, and self-rating scales (Fatigue Impact Scale, Dysexecutive Questionnaire, Hospital Anxiety and Depression Scale, and the dimension of health-related quality of life from EQ-5D-3L). The predictive variables were investigated using a binary logistic regression with HRQoL as the dependent variable. Descriptive statistics and correlations were analyzed. Participants reported a lower than average HRQoL (95%), fatigue (90%), and executive dysfunction (75%). Fatigue had a significant impact and explained 20-33% of the variance in HRQoL with a moderate significance on depression (p = 0.579) and executive dysfunction (p = 0.555). Cognitive and executive function and emotional state showed no association with HRQoL. A lower HRQoL, as well as fatigue and cognitive and executive dysfunctions, are common after ABI, with fatigue is a partial explanation of a lower HRQoL.

Physical Function, Cognitive Function, and Daily Activities in Patients Hospitalized Due to COVID-19: A Descriptive Cross-Sectional Study in Sweden.

An estimated 14-20% of people infected with COVID-19 require medical care. The aim of the present study was to evaluate physical function, cognitive function, and daily activities in patients hospitalized due to COVID-19, and to investigate differences depending on age and admission to the intensive care unit (ICU). This prospective descriptive cross-sectional study included a consecutive sample of 211 patients (mean age 65.1 years, 67.3% men) hospitalized due to COVID-19 in Sweden. Data regarding physical function and daily activities were collected in hospital from July 2020 to February 2021. The average length of hospital stay was 33.8 days, and 48.8% of the patients were admitted to the ICU. Physical function (grip- and lower body strength) was reduced in both groups, and significantly more in the older group, ≥65 years old, compared to the younger. Furthermore, the older group also had significantly less ability to perform activities in daily life, and had significantly reduced cognitive function as compared to the younger age group. In patients treated in the ICU, physical impairments as well as the activity level were significantly more pronounced compared to patients not treated in the ICU. Patients hospitalized due to COVID-19 are physically impaired, have mild cognitive impairments, and have difficulties performing daily activities. The findings in this study indicate the need for out-patient follow-up and rehabilitation for patients hospitalized due to COVID-19, especially in older patients and patients treated in the ICU.

A register-based study comparing planned rehabilitation following acute stroke in 2011 and 2017.

This cross-sectional, register-based study aimed to explore patterns of planned rehabilitation at discharge from stroke units in Sweden in 2011 and 2017 and identify explanatory variables for planned rehabilitation. Multivariable binary logistic regression was used to identify variables that could explain planned rehabilitation. There were 19,158 patients in 2011 and 16,508 patients in 2017 with stroke, included in the study. In 2011, 57% of patients were planned for some form of rehabilitation at discharge from stroke unit, which increased to 72% in 2017 (p < 0.001). Patients with impaired consciousness at admission had increased odds for planned rehabilitation (hemorrhage 2011 OR 1.43, 95% CI 1.13-1.81, 2017 OR 1.66, 95% CI 1.20-2.32), (IS 2011 OR 1.21, 95% CI 1.08-1.34, 2017 OR 1.49, 95% CI 1.28-1.75). Admission to a community hospital (hemorrhage 2011 OR 0.56, 95% CI 0.43-0.74, 2017 OR 0.39, 95% CI 0.27-0.56) (IS 2011 OR 0.63, 95% CI 0.58-0.69, 2017 OR 0.54, 95% CI 0.49-0.61) or to a specialized non-university hospital (hemorrhage 2017 OR 0.66, 95% CI 0.46-0.94), (IS 2011 OR 0.90, 95% CI 0.82-0.98, 2017 OR 0.76, 95% CI 0.68-0.84) was associated with decreased odds of receiving planned rehabilitation compared to admission to a university hospital. As a conclusion severe stroke was associated with increased odds for planned rehabilitation and patients discharged from non-university hospitals had consistently decreased odds for planned rehabilitation.

Association between pre-stroke physical activity and mobility and walking ability in the early subacute phase: A registry-based study.

OBJECTIVE: To investigate associations between pre-stroke physical activity and mobility, walking ability, and self-perceived upper extremity function during stroke unit care. DESIGN: A longitudinal, registry-based study with a consecutively collected cohort. SUBJECTS/PATIENTS: A total of 1,092 adults with stroke admitted to 3 Swedish stroke units between 2017 and 2018. METHODS: Logistic mixed effects regression models were performed to investigate associations (adjusted for age and sex). Pre-stroke physical activity was assessed with Saltin-Grimby Physical Activity Level Scale on admission. Mobility, walking ability, and self-perceived upper extremity function were assessed at admission and discharge from the stroke units and compared between pre-stroke physically active (45%) and inactive (55%) groups. RESULTS: All groups of patients showed improvements in mobility (p < 0.001), walking ability (p < 0.001), and upper extremity function (p < 0.001). The chang-es over time tended to differ between the physically inactive and active groups for mobility (p < 0.062) and walking ability (p < 0.056), but the differences were not significant. CONCLUSION: Pre-stroke physically active people show-ed a tendency to be more independent in physical functioning early after stroke. Regardless of pre-stroke physical activity, all patients showed improvements in mobility, walking ability, and self-perceived upper extremity function during inpatient care.

Recurrent sick leave after COVID-19: investigating the first wave of the pandemic in a comprehensive Swedish registry-based study.

BACKGROUND: Sick-leave due to COVID-19 vary in length and might lead to re-current episodes. The aim was to investigate recurrent sick leave due to COVID-19 during the first wave. METHODS: This is a registry-based cohort study. The study comprises all people with sickness benefit due to COVID-19 in Sweden in March 1-August 31, 2020. Data from the Swedish Social Insurance Agency, the Swedish National Board of Health and Welfare, and Statistics Sweden were merged. RESULTS: Within the follow-up period of 4 months, 11,955 people were subject to sickness benefit due to COVID-19, whereof 242 people (2.0%) took recurrent sick leave due to COVID-19, and of those 136 (56.2%) remained on sick leave at the end of follow-up. People with recurrent sick leave were older, more often women, and more likely to have been on sick leave prior to the COVID-19 pandemic. CONCLUSION: A group of people presented with recurrent sick leave due to COVID-19. For half of them, the second sick leave lasted throughout the follow-up. People with recurrent sick leave differ in several aspects from those with shorter sick leave. To capture long-term sick-leave patterns due to COVID-19, a longer period of follow-up is needed.

Patterns and predictors of sick leave after Covid-19 and long Covid in a national Swedish cohort.

BACKGROUND: The impact of Covid-19 and its long-term consequences is not yet fully understood. Sick leave can be seen as an indicator of health in a working age population, and the present study aimed to investigate sick-leave patterns after Covid-19, and potential factors predicting longer sick leave in hospitalised and non-hospitalised people with Covid-19. METHODS: The present study is a comprehensive national registry-based study in Sweden with a 4-month follow-up. All people who started to receive sickness benefits for Covid-19 during March 1 to August 31, 2020, were included. Predictors of sick leave ≥1 month and long Covid (≥12 weeks) were analysed with logistic regression in the total population and in separate models depending on inpatient care due to Covid-19. RESULTS: A total of 11,955 people started sick leave for Covid-19 within the inclusion period. The median sick leave was 35 days, 13.3% were on sick leave for long Covid, and 9.0% remained on sick leave for the whole follow-up period. There were 2960 people who received inpatient care due to Covid-19, which was the strongest predictor of longer sick leave. Sick leave the year prior to Covid-19 and older age also predicted longer sick leave. No clear pattern of socioeconomic factors was noted. CONCLUSIONS: A substantial number of people are on sick leave due to Covid-19. Sick leave may be protracted, and sick leave for long Covid is quite common. The severity of Covid-19 (needing inpatient care), prior sick leave, and age all seem to predict the likelihood of longer sick leave. However, no socioeconomic factor could clearly predict longer sick leave, indicating the complexity of this condition. The group needing long sick leave after Covid-19 seems to be heterogeneous, indicating a knowledge gap.

Differences in self-perceived general health, pain, and depression 1 to 5 years post-stroke related to work status at 1 year.

Stroke is one of the most common diseases and has several potential consequences, such as psychological problems and pain. Return to work (RTW) after stroke in working-age individuals is incomplete. The present study aimed to investigate differences in self-perceived general health, pain, and depression between 1 and 5 years post-stroke related to RTW status. The study was nationwide, registry-based and the study population (n = 398) consisted of working-age people who had a stroke in 2011 and participated in 1-year and 5-year follow-up questionnaire surveys. Shift analyses with the Wilcoxon signed rank test and logistic regression were used. RTW within the first year post-stroke was associated with better self-perceived general health, less pain, and less depression both at 1 and 5 years post-stroke, compared with the no-RTW group. However, the RTW group had significant deterioration in general health and pain between 1 and 5 years, while the no-RTW group had no significant change. RTW was a significant predictor of lower odds of improvement in general health and pain between 1 and 5 years. This emphasizes the need for continued follow-up and support to ensure a balance between work and health for RTW individuals after stroke.

Different predictors after stroke depending on functional dependency at discharge: a 5-year follow up study.

BACKGROUND: Level of dependency after a stroke is important for long-term outcome in several aspects, but less is known about important predictors for outcome depending on functional dependency. The aim of the current study was to investigate self-perceived outcome and identify possible predictors of strength, participation, and emotional outcome 5 years after stroke based on functional dependency at discharge from hospital. METHODS: This observational cohort study included participants living in Gothenburg that were diagnosed with first ever stroke in 2009 and 2010. Baseline data were gathered from medical charts and the outcome was based on the Stroke Impact Scale (SIS) questionnaire mailed out 5 years post-stroke. Logistic regression identified potential predictors of better strength, participation, and emotional outcome. RESULTS: A total of 266 participants responded to the SIS. The functionally independent participants at hospital discharge reported significantly better scores in all SIS domains compared to the functionally dependent. For those who were functionally independent, only non-modifiable factors (age, sex, stroke type) were significant predictors of a better outcome. However, for the functionally dependent participants, modifiable factors such as feeling depressed, cardiovascular risk factors, and recurrent stroke were significant predictors of unfavourable outcome. CONCLUSIONS: Important factors for predicting a favourable outcome differed due to the level of functional dependency, and modifiable factors were only present in participants that were functionally dependent at discharge. Prevention, detection, and treatment of modifiable factors give an opportunity to reduce the burden of stroke for those who are most vulnerable.

Longitudinal changes of self-perceived manual ability the first year after stroke: a cohort study.

BACKGROUND: Recovery patterns of motor function and activity capacity of the upper extremity after stroke have been described, but less is known about longitudinal changes of perceived manual activity performance. The aim of this study was to investigate longitudinal changes of self-perceived manual ability at several timepoints from onset until 12 months post-stroke in a cohort of consecutively recruited individuals with mild, moderate and severe stroke. METHODS: The study included 106 participants from a non-selected cohort with first-ever mild, moderate or severe stroke and impaired upper extremity function (Stroke Arm Longitudinal Study at the University of Gothenburg, SALGOT). Self-perceived manual ability was assessed with the ABILHAND Questionnaire at 3 and 10 days, 4 weeks, 3, 6 and 12 months after stroke. Longitudinal change was assessed by linear mixed models (fixed and random effects) and adjusted models were built by adding effects of cofactors age, gender, stroke severity, living condition and affected hand. RESULTS: Self-perceived manual ability increased over time the first year after stroke for the total group and the subgroups. The final adjusted model for the total group included fix-effects of time (expected mean change 0.24 logits per month) adjusted by age (- 0.06 per year) and stroke severity (- 0.19 per NIHSS-score). In addition to significant effect of time, the adjusted models for moderate stroke subgroup included fixed effect of age, and for mild and severe subgroups there was an interaction effect between time and age. Further analyses between time-points showed that no significant change of self-perceived manual ability was detected beyond 3 months post-stroke. CONCLUSIONS: Self-perceived manual ability increased over time the first year after stroke, and this change was to some degree modulated by age and stroke severity at onset. Most of the improvements occurred early, predominantly within the first three months after stroke.

Level of physical activity is positively correlated with perceived impact on life 12 months after stroke: A cross-sectional study.

OBJECTIVES: To examine the relationship between, and impact of, level of physical activity and perceived impact on life at 12 months post-stroke. DESIGN: Cross-sectional study. SUBJECTS: A total of 73 participants with first-time stroke included in the Stroke Arm Longitudinal study at the University of Gothenburg (SALGOT study), Sweden. METHODS: Perceived impact of stroke was assessed with the Stroke Impact Scale and level of physical activity was assessed with the Saltin-Grimby Physical Activity Scale at 12 months post-stroke. Data were presented with descriptive and logistic regression analyses. RESULTS: The physically active group perceived their strength, emotion, mobility, participation and overall stroke recovery as significantly less problematic compared with the inactive group. Being physically active contributed to higher scores in the Strength domain (odds ratio, OR 7.89) and in the Stroke Recovery domain (OR 18.55). In the Participation domain being physically active (OR 8.01) and independent (OR 0.162) contributed to higher scores. CONCLUSION: A positive correlation was found between level of physical activity at 12 months post-stroke and levels of strength, participation and stroke recovery.