Physical activity trajectories and all-cause mortality in type 1 diabetes: A nationwide longitudinal study.

AIMS: To identify physical activity trajectories, explore the factors associated with them and assess their relationship with all-cause mortality. METHODS: This was a population-based longitudinal cohort study, with data from all specialist care units for type 1 diabetes in Sweden. A total of 48.921 adult patients were included, each with at least 3 registrations of physical activity, and a maximum follow-up of 14 years. The main outcomes were the longitudinal physical activity trajectories and all-cause mortality. RESULTS: Of 48.921 patients, 55.9% were males and mean (SD) age was 39.7(16.7). Four physical activity trajectories were identified: Steady Low (10.8%), Decreaser (12.7%), Increaser (20.7%) and Steady High (55.8%). Female sex, higher education, higher income, normal BMI, fewer comorbidities and foot free from diabetic disease were significantly associated with sustained high physical activity. Compared to the steady low group, the decreaser, increaser, and steady high physical activity groups exhibited lower adjusted risk of all-cause mortality (53-73% reduction). CONCLUSIONS: Consistently low physical activity is associated with higher all-cause mortality. This study underscores the importance of identifying patients at risk of low physical activity and tailoring personalized approaches to promote sustained physical activity in type 1 diabetes, ultimately improving outcomes.

Predictors of functional outcome after stroke: Sex differences in older individuals.

BACKGROUND: Sex differences in stroke are well documented, with females being older at onset, with more severe strokes and worse outcomes than males. Females receive less comprehensive stroke unit treatment. Similarly, older individuals receive poorer quality care than younger ones. There is limited research on sex differences in factors that impact 3-month poststroke functional outcome in people older than 80 years. METHODS: This register-based and cross-sectional study analyzed data from two stroke quality registers in Sweden from 2014 through 2019. The study included patients aged ≥80 with a diagnosis of ischemic or hemorrhagic stroke. Sociodemographic features, prestroke condition, stroke severity on admission (National Institutes of Health Stroke Scale [NIHSS]), stroke unit care, rehabilitation plans, and 3-month poststroke functional outcome measured with the modified Rankin Scale were analyzed. Ordinal regression analyses stratified by sex were conducted to assess sex differences in factors that impact poststroke functional outcome 3 months after the stroke. RESULTS: A total of 2245 patients were studied with the majority (59.2%) being females. Females experienced more severe strokes (NIHSS median 4 vs. 3, p = 0.01) and were older at stroke onset than males (87.0 vs. 85.4, p < 0.001). Females were also less independent prestroke (69.9% vs. 77.4%, p < 0.001) and a higher proportion of females lived alone (78.2% vs. 44.2%, p < 0.001). Males received intravenous thrombolysis more often than females (16.3% vs. 12.0%, p = 0.005). Regarding 3-month functional outcome, males benefited more from thrombolysis (odds ratio [OR] 0.52, 95% confidence interval [CI] 0.30-0.83), whereas females benefited more from thrombectomy (OR 0.40, 95% CI 0.20-0.71). CONCLUSION: Stroke care should be adapted to sex disparities in older individuals, while clinicians should be aware of these sex disparities. Further research could clarify the mechanisms behind these disparities and lead to a more personalized approach to stroke care of the older population.

The precision by the Face Arm Speech Time (FAST) algorithm in stroke capture, sex and age differences: a stroke registry study.

Background: The shift towards milder strokes and studies suggesting that stroke symptoms vary by age and sex may challenge the Face-Arm-Speech Time (FAST) coverage. We aimed to study the proportion of stroke cases admitted with FAST symptoms, sex and age differences in FAST presentation and explore any additional advantage of including new item(s) from the National Institute of Health Stroke Scale (NIHSS) to the FAST algorithm. Methods: This registry-based study included patients admitted with acute stroke to Sahlgrenska University Hospital (November 2014 to June 2019) with NIHSS items at admission. FAST symptoms were extracted from the NIHSS at admission, and sex and age differences were explored using descriptive statistics. Results: Of 5022 patients, 46% were women. Median NIHSS at admission for women was (2 (8-0) and for men 2 (7-0)). In total, 2972 (59%) had at least one FAST symptom, with no sex difference (p=0.22). No sex or age differences were found in FAST coverage when stratifying for stroke severity. 52% suffered mild strokes, whereas 30% had FAST symptoms. The most frequent focal NIHSS items not included in FAST were sensory (29%) and visual field (25%) and adding these or both in modified FAST algorithms led to a slight increase in strokes captured by the algorithms (59%-67%), without providing enhanced prognostic information. Conclusions: 60% had at least one FAST symptom at admission, only 30% in mild strokes, with no sex or age difference. Adding new items from the NIHSS to the FAST algorithm led only to a slight increase in strokes captured.

Patient experiences of physical activity and inactivity in the stroke unit: an interview study.

OBJECTIVE: Stroke unit care is highly recommended after stroke, but patients in these units are often physically inactive. The aim of this study was to explore patient experiences of physical activity and inactivity in the stroke unit. DESIGN: Qualitative interview study. SUBJECTS: Sixteen participants with stroke; a heterogeneous sample with differences in sex, age, and stroke severity from 8 Swedish stroke units. METHODS: In-depth interviews 1-2 weeks after discharge analysed using thematic analysis. RESULTS: The analysis resulted in three themes: 1: Dealing with the challenges of a changed body while striving to become independent; 2: The stroke unit is crucial for physical activity; and 3: Physical activity is important for interaction with others, autonomy, and feeling seen. Participants described how they coped with a new situation when finding new ways to move and function. In addition, they wanted to be involved in their own stroke rehabilitation. CONCLUSION: The participants expressed the following experiences of being in the stroke unit: movement is more important than physical activity and involves being seen and respected; physical activity and exercise are necessary to achieve independence; process involvement is of importance to regain abilities; physical activity offers the possibility of choosing between community and being alone and influences the ability to connect with others and the outside world.

Prognostic value of acute National Institutes of Health Stroke Scale Items on disability: a registry study of first-ever stroke in the western part of Sweden.

OBJECTIVES: We aimed to study how the individual items of the National Institutes of Health Stroke Scale (NIHSS) at admission predict functional independence 3 months post-stroke in patients with first-ever stroke. SETTING: This registry-based study used data from two Swedish stroke registers (Riksstroke, the mandatory national quality register for stroke care in Sweden, and Väststroke, a local quality stroke register in Gothenburg). PARTICIPANTS: This study included patients with first-ever acute stroke admitted from November 2014 to August 2018, with available NIHSS at admission and modified Rankin Scale (mRS) at 3-month follow-up. PRIMARY OUTCOME: The primary outcome variable was mRS≤1 (defined as an excellent outcome) at 3-month follow-up. RESULTS: We included 1471 patients, mean age was 72 (± 14.5) years, 48% were female, and 66% had mild strokes (NIHSS≤3). In adjusted binary logistic regression analysis, the NIHSS items impaired right motor arm and leg, and impairment in visual field, reduced the odds of an excellent outcome at 3 months ((OR 0.60 (95% CI 0.37 to 0.98), OR 0.60 (95% CI 0.37 to 0.97), and OR 0.65 (95% CI 0.45 to 0.94)). When exploring the effect size of associations between NIHSS items and mRS≤1 p, orientation, language and right leg motor had the largest yet small association. CONCLUSIONS: Stroke patients with scores on the NIHSS items right motor symptoms or visual field at admission are less likely to have an excellent outcome at 3 months. Clinicians should consider the NIHSS items affected, not only the total NIHSS score, both in treatment guidance and prognostics.

Death and ADL Dependency After Scoring Zero on the NIHSS: A Swedish Retrospective Registry-Based Study.

Background and Objectives: Of all strokes, mild strokes (defined as 5 points or less on the National Institutes of Health Stroke Scale [NIHSS]) are in the majority. However, up to one-third of patients with mild strokes still exhibit significant deficits 3 months after the stroke. Studies on the presumably mildest strokes, defined by zero points on the NIHSS (0-NIHSS) at admission, are scarce. Hence, we aimed to study patient characteristics and outcomes among patients with 0-NIHSS strokes. Methods: Our retrospective registry-based study included a total of 6,491 adult patients with stroke admitted to 3 different stroke units in Gothenburg, Sweden, from November 2014 to June 2019. Our main outcome was a composite measure including death and activities of daily living (ADL) dependency 3 months after the stroke. Analyses of patient characteristics were followed by adjusted analyses including multiple confounders. Results: In total, 5,945 patients had data on NIHSS at admission, of whom 1,412 (24%) presented with a 0-NIHSS stroke. Among these, the median age was 72 years, 600 (42%) were female, and 86 (6%) had a hemorrhagic stroke. Among previously ADL-independent patients, 65 (6%) were either dead or ADL-dependent 3 months after the stroke. Prestroke physical inactivity (OR 2.48, 95% CI 1.40-4.38) and age (OR 1.05 per gained year, 95% CI 1.02-1.08) significantly increased the risk of death and ADL dependency. Discussion: One of 17 patients has either died or become ADL-dependent 3 months after a 0-NIHSS stroke, stressing that these strokes are not always benign. Older and physically inactive patients are at greater risk of an adverse outcome.

Associations between pre-stroke physical activity levels and health-related quality of life 3 months after stroke: A registry-based study (part of PAPSIGOT).

BACKGROUND: Whether pre-stroke physical activity is associated with health-related quality of life after stroke has been sparsely investigated. AIMS: To explore associations between pre-stroke physical activity and health-related quality of life 3 months after stroke onset. METHODS: A consecutively collected cohort study with data from registries. Included were adult patients with first stroke in the period 2014-2018 who were hospitalized at any one of the three stroke units in Gothenburg, Sweden. Pre-stroke physical activity was assessed with the Saltin-Grimby Physical Activity Level Scale (SGPALS) after hospital admission for acute stroke. Health-related quality of life was assessed with the EuroQoL 5 Dimensions 5 Level Version (EQ-5D-5L) 3 months after stroke. Data were analyzed with the Kruskal-Wallis test and binary logistic regression. RESULTS: Data were included from 2044 patients; 91% had ischemic stroke, 46% were female, and mean age was 73 years, with mild stroke severity median National Institute of Health Stroke Scale (NIHSS) of 2. Patients who were pre-stroke physically active reported better overall health-related quality of life by the EQ-5D-5L index value, all the domains in EQ-5D-5L, and the EuroQoL-Visual Analogue Scale (EQ-VAS) compared with pre-stroke physically inactive patients (all p < 0.001). Better health-related quality of life 3 months after stroke was associated with pre-stroke light and moderate physical activity: adjusted odds ratio (95% confidence interval), 1.9 (1.5-2.3) and 2.3 (1.5-3.4), respectively. CONCLUSION: Pre-stroke physical activity is associated with better health-related quality of life 3 months after stroke. For the domains of mobility, self-care, and pain/discomfort, physical activity with higher intensity is even more beneficial.

Association of cognitive function very early after stroke with subjective cognitive complaints after 3 months, a register-based study.

OBJECTIVE: Cognitive deficits are commonly observed after stroke and have been associated with the cognitive decline and development of dementia in later stages. This study aimed to investigate whether cognition screened at acute stroke units could explain subjective cognitive complaints 3 months after stroke and evaluate how the severity of stroke and age could influence this association. METHODS: In this register-based longitudinal study, data were retrieved from three Swedish registers between November 2014 and June 2019. Information on subjective cognitive complaints (SCC) was collected from the Riksstroke 3-month follow-up form, which were used to analyze the primary outcomes. Cognitive function screened using the Montreal Cognitive Assessment (MoCA) at acute stroke units was expressed as the primary independent variable. RESULTS: Of the 1977 patients included in the study, 58% were males, the median age was 73 years, and 63% had a minor stroke. A total of 60% of patients had impaired cognition at acute stroke units (MoCA score, <26), of whom 40.3% reported at least 1 cognitive problem after 3 months. In adjusted binary regression analysis models, patients with normal cognitive function had lower odds for SCCs. This pattern was observed regardless of age and in patients with a minor stroke. CONCLUSIONS: Intact cognition early after stroke was related to decreased odds of subjective cognitive complaints at the 3-month follow-up. This study highlights the importance of both early cognitive screening after stroke and subjective cognitive complaints, which have been shown to be associated with cognitive decline. Furthermore, we suggest the importance of discussing cognitive function with patients during regular follow-up in primary care, usually 3 months after stroke.

Physical inactivity before stroke is associated with dependency in basic activities of daily living 3 months after stroke.

Background: Physical inactivity is a leading risk factor for non-communicable diseases, including stroke. Moreover, physical inactivity before stroke is associated with stroke severity, which, in turn, can cause disability. However, it remains unclear whether physical inactivity before stroke is associated with dependency in basic activities of daily living (ADL). Aim: The aim of this study was to evaluate whether physical inactivity before stroke influences ADL dependency 3 months after stroke. Methods: This longitudinal study was based on data from three Swedish registries. Patients with acute stroke who were admitted to the Sahlgrenska University Hospital between 9 November 2014 and 30 June 2019 were included in the study. Baseline data were collected from the three stroke units, and self-reported questionnaires were used to collect 3-month follow-up data. Physical inactivity before stroke was the primary independent variable that was self-reported using the Saltin-Grimby physical activity level scale. ADL dependency was a composite measure of three tasks: mobility, dressing, and toilet use. A binary logistic regression analysis was used to explain the association between physical inactivity before stroke and basic ADL 3 months after stroke. Results: In total, 3,472 patients were included in the study. The median age was 75 years, 49% of the patients were physically inactive before stroke, and 75% had a mild stroke. ADL dependency at follow-up was reported to be 32%. Physically inactive patients, compared with physically active patients, had 2.35 times higher odds for ADL dependency 3 months after stroke (odds ratio 2.30 [95% CI 1.89 - 2.80]). The model correctly classified 84% of the patients (the area under the receiver operating characteristic curve was 0.84 [95% CI, 0.83 - 0.86]). Conclusion: The findings of this study suggest that physical inactivity before stroke is associated with dependency in basic ADL 3 months after stroke. In addition, older age, female sex, pre-stroke living conditions, need for help, previous stroke, and admission stroke severity are significant contributors to dependency.

Associations of Prestroke Physical Activity With Stroke Severity and Mortality After Intracerebral Hemorrhage Compared With Ischemic Stroke.

BACKGROUND AND OBJECTIVES: Prestroke physical activity may protect the brain from severe consequences of stroke. However, previous studies on this subject included mainly ischemic stroke cases, and the association between prestroke physical activity and outcomes after intracerebral hemorrhage is uncertain. Therefore, we sought to examine the associations between prestroke physical activity, stroke severity, and all-cause mortality after intracerebral hemorrhage in comparison with ischemic stroke. METHODS: This was a longitudinal, register-based cohort study. All adult patients with intracerebral hemorrhage or ischemic stroke admitted to 3 stroke units in Gothenburg, Sweden, between November 1, 2014, and June 30, 2019, were screened for inclusion. Physical activity was defined as light physical activity ≥4 h/wk or moderate physical activity ≥2 h/wk the year before stroke. Stroke severity was assessed on admission using the NIH Stroke Scale. All-cause mortality rates were followed up to 7 years, from the time of incident stroke until death or censoring. Ordinal logit models and Cox proportional hazards models were used to estimate adjusted associations of prestroke physical activity. RESULTS: We included 763 patients with intracerebral hemorrhage and 4,425 with ischemic stroke. Prestroke physical activity was associated with less severe strokes by an adjusted odds ratio of 3.57 (99% CI 2.35-5.47) for intracerebral hemorrhages and 1.92 (99% CI 1.59-2.33) for ischemic strokes. During a median follow-up of 4.7 (interquartile range 3.5-5.9) years, 48.5% of patients with intracerebral hemorrhage died, compared with 37.5% with ischemic stroke. Prestroke physical activity was associated with decreased short-term mortality (0-30 days) by an adjusted hazard ratio of 0.30 (99% CI 0.17-0.54) after intracerebral hemorrhage and 0.22 (99% CI 0.13-0.37) after ischemic stroke. Prestroke physical activity was further associated with decreased long-term mortality (30 days-2 years) by an adjusted hazard ratio of 0.40 (99% CI 0.21-0.77) after intracerebral hemorrhage and 0.49 (99% CI 0.38-0.62) after ischemic stroke. DISCUSSION: Prestroke physical activity was associated with decreased stroke severity and all-cause mortality after intracerebral hemorrhage and ischemic stroke, independent of other risk factors. Based on current knowledge, health care professionals should promote physical activity as part of primary stroke prevention.

Pre-stroke Physical Inactivity and Stroke Severity in Male and Female Patients.

Introduction: Females experience more severe ischemic strokes than do males. A higher pre-stroke physical activity level is associated with less severe stroke. The primary aim of this study was to explore the association between pre-stroke physical inactivity and stroke severity in male and female patients. Methods: This was a retrospective, registry-based study. The data were retrieved from two stroke registries from 2014 to 2019. The primary explanatory variable was physical activity level before the stroke, assessed using the Saltin-Grimby Physical Activity Level Scale. The outcome was moderate to severe stroke at hospital admission, assessed using the National Institutes of Health Stroke Scale (NIHSS). A moderate to severe stroke was defined as a NIHSS score of ≥6. Binary logistic regression analysis was performed to explore if physical inactivity before the stroke could explain stroke severity in male and female patients. Results: In total, we included 4,535 patients with ischemic stroke. Female patients (n = 2,145) had a mean age of 76 years, 35% had a moderate to severe stroke, and 64% were physically inactive pre-stroke. Male patients (n = 2,390) had a mean age of 72 years, 25% had a moderate to severe stroke, and 49% were physically inactive pre-stroke. Physical inactivity was associated with higher odds for moderate to severe stroke in both sexes (females' odds ratio [OR], 2.7, 95% confidence interval [CI]: 2.2-3.3, p < 0.001 and males' OR, 2.06, 95% CI: 1.7-2.5, p < 0.001). The association remained significant in the adjusted models. Conclusions: Physically inactive females and males had higher odds of experiencing a moderate to severe stroke. However, the OR of female patients was somewhat higher than that of male patients.

A register-based study on associations between pre-stroke physical activity and cognition early after stroke (part of PAPSIGOT).

The objective was to investigate if pre-stroke physical activity is associated with intact cognition early after stroke. The study design was a cross-sectional, register-based study. The study sample included 1111 adults with first stroke (mild or moderate severity) admitted to three Swedish stroke units. The main outcome was cognition. The associations of pre-stroke physical activity, age, sex, smoking, diabetes, atrial fibrillation, previous TIA, statin treatment, hypertension treatment, reperfusion therapies, stroke severity, and education on the outcome cognition were analyzed using binary logistic regression. Physical activity was assessed within 48 h of admittance, and cognition was screened during stroke unit care. The results were: mean age 70 years, 40% women, 61% pre-stroke physically active, and 53% with post-stroke cognitive impairment. Patients with pre-stroke light or moderate physical activity have higher odds for intact cognition compared to inactive: odds ratio (95% confidence interval) 1.32 (0.97-1.80) and 2.04 (1.18-3.53), respectively. In addition to pre-stroke physical activity, people with younger age, a higher level of education, less severe stroke (more mild than moderate), being non-diabetic, and non-smoking have higher odds for intact cognition. In conclusion physical activity before stroke is associated with intact cognition in patients with mild and moderate stroke.

Pre-stroke physical activity in relation to post-stroke outcomes - linked to the International Classification of Functioning, Disability and Health (ICF): A scoping review.

OBJECTIVE: This scoping review aims to identify how pre-stroke physical activity (PA) has been studied in relation to outcomes after stroke using the ICF framework. METHODS: MEDLINE, CINAHL, Scopus, and grey literature databases were systematically searched from inception to March 15, 2021, with no language restrictions. Risk of bias was evaluated for all included studies. Identified outcome measures were linked to ICF components using linking rules, and the main findings were summarized. RESULTS: Of 3664 records screened, 35 studies were included. The risk of bias was graded as moderate to critical for all studies. There were 60 unique outcome measures studied in relation to pre-stroke PA, covering the hyper acute to chronic phases of stroke recovery. Outcome measures linked to body functions were most common (n=19), followed by activities and participation (n=14), body structures (n=7), environmental factors (n=4) and personal factors (n=2). There were large differences in assessments of pre-stroke PA, and only one study analysed haemorrhagic cases separately. CONCLUSIONS: Pre-stroke PA has been studied in relation to all components in the ICF framework.  However, this review highlights the high risk of bias, heterogeneity in pre-stroke PA assessments, and the lack of information regarding haemorrhagic strokes in the current literature.

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.

Transforming self-reported outcomes from a stroke register to the modified Rankin Scale: a cross-sectional, explorative study.

The aim was to create an algorithm to transform self-reported outcomes from a stroke register to the modified Rankin Scale (mRS). Two stroke registers were used: the Väststroke, a local register in Gothenburg, Sweden, and the Riksstroke, a Swedish national register. The reference variable, mRS (from Väststroke), was mapped with seven self-reported questions from Riksstroke. The transformation algorithm was created as a result of manual mapping performed by healthcare professionals. A supervised machine learning method-decision tree-was used to further evaluate the transformation algorithm. Of 1145 patients, 54% were male, the mean age was 71 y. The mRS grades 0, 1 and 2 could not be distinguished as a result of manual mapping or by using the decision tree analysis. Thus, these grades were merged. With manual mapping, 78% of the patients were correctly classified, and the level of agreement was almost perfect, weighted Kappa (Kw) was 0.81. With the decision tree, 80% of the patients were correctly classified, and substantial agreement was achieved, Kw = 0.67. The self-reported outcomes from a stroke register can be transformed to the mRS. A mRS algorithm based on manual mapping might be useful for researchers using self-reported questionnaire data.

Author Correction: NIHSS is not enough for cognitive screening in acute stroke: A cross-sectional, retrospective study.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

NIHSS is not enough for cognitive screening in acute stroke: A cross-sectional, retrospective study.

The aim of this study was to investigate whether the cognitive subscale of the National Institute of Health Stroke Scale (NIHSS), the Cog-4, can detect cognitive deficits in acute stroke. This was a cross-sectional, retrospective study. The study sample consisted of people with stroke enrolled in an acute stroke unit. The index test Cog-4 was calculated based on admission NIHSS score. The reference standard instrument, the Montreal Cognitive Assessment (MoCA), was performed within 36-48 h of admission. Non-parametric statistics were used for data analyses. The study included 531 participants with a mean age of 69 years. The Cog-4 failed to identify cognitive deficits in 65%, 58%, and 53% of patients when the MoCA thresholds for impaired cognition were set at ≤25 p, ≤23 p, and ≤19 p, respectively, were chosen for impaired cognition. The agreement between the Cog-4 and the MoCA was poor; Cohen's kappa was from -0.210 to -0.109, depending on the MoCA cut-offs. The sensitivity of the Cog-4 was 35%, 42% and 48% for the MoCA thresholds for impaired cognition ≤25, ≤23 and ≤19 points, respectively. The Cog-4 has a limited ability to identify cognitive deficits in acute stroke. More structured and comprehensive tests should be employed as diagnostic tools.

Prestroke physical activity could influence acute stroke severity (part of PAPSIGOT).

OBJECTIVE: To investigate the influence of prestroke physical activity (PA) on acute stroke severity. METHODS: Data from patients with first stroke were retrieved from registries with a cross-sectional design. The variables were PA, age, sex, smoking, diabetes, hypertension and statin treatment, stroke severity, myocardial infarction, new stroke during hospital stay, and duration of inpatient care at stroke unit. PA was assessed with Saltin-Grimby's 4-level Physical Activity Level Scale, and stroke severity was assessed with the National Institutes of Health Stroke Scale (NIHSS). Logistic regression was used to predict stroke severity, and negative binomial regression was used to compare the level of PA and stroke severity. RESULTS: The study included 925 patients with a mean age of 73.1 years, and 45.2% were women. Patients who reported light or moderate PA levels were more likely to present a mild stroke (NIHSS score 0 to 5) compared with physically inactive patients in a model that also included younger age as a predictor (odds ratio = 2.02 for PA and odds ratio = 0.97 for age). The explanatory value was limited at 6.8%. Prestroke PA was associated with less severe stroke, and both light PA such as walking at least 4 h/wk and moderate PA 2-3 h/wk appear to be beneficial. Physical inactivity was associated with increased stroke severity. CONCLUSIONS: This study suggests that PA and younger age could result in a less severe stroke. Both light PA such as walking at least 4 h/wk and moderate PA 2-3 h/wk appear to be beneficial.