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Objective: High amounts of sedentary behavior increase the risk of cardiovascular disease. This study aimed to determine the preliminary effectiveness and feasibility of the RISE intervention to support community-dwelling people with stroke, who are highly sedentary, to reduce and interrupt sedentary time. Additionally, the added value of including participatory support was determined. Methods: A randomized, multiple-baseline study was conducted including 14 participants. All received the RISE intervention, a 15-week blended behavioral intervention in which a primary care physiotherapist provided personalized coaching in the home setting by using behavior-change techniques and the RISE eCoaching system, including an activity monitor and app to provide real time feedback. Half of the participants (randomly allocated) received participatory support from someone from their social network (e.g., partner or close friend) who joined them in the intervention. Preliminary effectiveness was determined with significant changes in total sedentary time and fragmentation (interruption) of sedentary time using a randomization test. Feasibility was assessed by adherence with the intervention protocol, safety, and satisfaction with the intervention. Results: Participants significantly reduced total sedentary time (p = 0.01) by 1.3 h on average and increased their fragmentation (p < 0.01). Subgroup analyses showed significant improvements in both outcomes only in the group with participatory support. Thirteen (92.9%) participants completed the intervention, no related adverse events occurred, and the reported participant satisfaction was sufficient. Conclusions: The RISE intervention appears promising to support people with stroke who are highly sedentary to reduce and interrupt their sedentary time. Participatory support appears to contribute to greater results. Trial registration: ISRCTN international trial registry, 10694741.
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Objective: It is unclear how self-reported severe fatigue and difficulty concentrating after SARS-CoV-2 infection relate to objective neuropsychological functioning. The study aimed to compare neuropsychological functioning between individuals with and without these persistent subjective complaints. Method: Individuals with and without persistent severe fatigue (Checklist Individual Strength (CIS) fatigue ≥ 35) and difficulty concentrating (CIS concentration ≥ 18) at least 3 months after SARS-CoV-2 infection were included. Neuropsychological assessment was performed on overall cognitive functioning, attention, processing speed, executive functioning, memory, visuo-construction, and language (18 tests). T-scores -1.5 SD below population normative data (T ≤ 35) were classified as "impaired". Results: 230 participants were included in the study, of whom 22 were excluded from the analysis due to invalid performance. Of the participants included in the analysis, 111 reported persistent complaints of severe fatigue and difficulty concentrating and 97 did not. Median age was 54 years, 59% (n = 126) were female, and participants were assessed a median of 23 months after first infection (IQR: 16-28). With bivariate logistic regression, individuals with persistent complaints had an increased likelihood of slower information processing speed performance on the Stroop word reading (OR = 2.45, 95%CI = 1.02-5.84) compared to those without persistent complaints. Demographic or clinical covariates (e.g. hospitalization) did not influence this association. With linear regression techniques, persistent complaints were associated with lower t-scores on the D2 CP, TMT B, and TMT B|A. There were no differences in performance on the other neuropsychological tests. Conclusions: Individuals with subjective severe fatigue and difficulty concentrating after COVID-19 do not typically demonstrate cognitive impairment on extensive neuropsychological testing.
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BACKGROUND: Women appear to have a higher risk for long term restrictions in participation than men. This gender difference is poorly understood, as solely biomedical factors have been examined to date. OBJECTIVES: The aims of this study are (1) to map gender differences in participation outcome one year after stroke, and (2) to identify demographic, stroke-related, or psychological predictors of participation for women and men separately. METHODS: A total of 326 patients (mean age 66.5 ± 12.4y, 35.0% women) completed the restriction and satisfaction subscales of the Utrecht Scale of Evaluation of Rehabilitation-Participation (USER-P) at one year after stroke. Bivariate and multiple linear regression analyses were performed. RESULTS: Women reported worse scores for restrictions in participation compared to men (median 75.4 versus 87.9 respectively, p = 0.001), especially in physical activities such as daytrips and going out. Satisfaction with participation was similar between women and men. Worse cognitive functioning (ß = 0.17) was associated with more restrictions in participation in men only, other predictors of restrictions in participation were similar between women and men. The presence of depressive symptoms (ß = -0.49) was associated with worse satisfaction with participation in men, whereas an increased stroke severity (ß = -0.29) and the presence of maladaptive psychological factors (ß = -0.36) were associated with worse satisfaction with participation in women. CONCLUSIONS: Women experience more restrictions in participation compared to men one year after stroke. Taking into account gender-specific predictors of participation in stroke aftercare is important, as different biopsychosocial factors contribute to problems in participation across women and men.
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Cognitive impairment can negatively influence daily functioning. Current cognitive measures are essential for diagnosing cognitive impairment, but findings on these tests do not always represent the level of cognitive functioning in daily life. Therefore, this study aimed to design a structured measurement instrument to observe and rate the impact of cognitive impairment in daily life, named the cognition in daily life scale for persons with cognitive problems (CDL). In this paper we describe the development, expected usability, and psychometric properties (content and face validity) of the instrument. The CDL was established through three consecutive development phases: (1) item selection, (2) item categorization and comparison, and (3) item revision and manual construction. Subsequently, a panel of eleven international experts rated the relevance of the selected items and provided comments on the expected usability and face validity. Content validity was estimated with the content validity index, based on which four items were removed. The experts' comments led to minor adjustments of the manual, domains, and formulation of the maintained items. The final instrument consists of 65 items describing behaviour that relies on cognitive functions within six domains. Future research should focus on evaluating the construct validity and reliability of the CDL.
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OBJECTIVE: To investigate the prevalence and trajectories of post-COVID-19 neuropsychological symptoms. DESIGN: Prospective longitudinal multicentre cohort study. SUBJECTS: A total of 205 patients initially hospitalized with SARS-CoV-2 (COVID-19). METHODS: Validated questionnaires were administered at 9 months (T1) and 15 months (T2) post-hospital discharge to assess fatigue, cognitive complaints, insomnia, anxiety, depression, and post-traumatic stress symptoms. RESULTS: Analyses included 184 out of 205 patients. Approximately 50% experienced high cognitive complaints at T1 and T2, while severe fatigue affected 52.5% at T1 and 55.6% at T2. Clinically relevant insomnia scores were observed in 25% of patients at both time-points. Clinically relevant anxiety scores were present in 18.3% at T1 and 16.7% at T2, depression in 15.0% at T1 and 18.9% at T2, and PTSD in 12.4% at T1 and 11.8% at T2. Most symptoms remained stable, with 59.2% of patients experiencing at least 1 persistent symptom. In addition, 31.5% of patients developed delayed-onset symptoms. CONCLUSION: Post-COVID-19 cognitive complaints and fatigue are highly prevalent and often persist. A subgroup develops delayed symptoms. Emotional distress is limited. Screening can help identify most patients experiencing long-term problems. Future research should determine risk factors for persistent and delayed onset symptoms.
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COVID-19 , Sleep Initiation and Maintenance Disorders , Humans , Prevalence , COVID-19/epidemiology , Cohort Studies , Prospective Studies , SARS-CoV-2 , Fatigue/epidemiology , Fatigue/etiologyABSTRACT
OBJECTIVES: Patients with an unruptured intracranial aneurysm (UIA) may experience scanxiety around follow-up imaging. We studied the prevalence and temporal pattern of scanxiety, and compared quality of life (QoL) outcomes in patients with and without scanxiety. METHODS: We performed a prospective cohort study in a tertiary referral center in the Netherlands between October 2021 and November 2022. We sent questionnaires to patients ≥ 18 years old undergoing UIA follow-up imaging 4 weeks before (T1), immediately after (T2), and 6 weeks after the scan (T3) to assess health-related QoL (HRQoL) and emotional functioning. At T3, we also assessed scanxiety with a purpose-designed questionnaire. We compared differences in QoL outcomes between respondents with and without scanxiety using mixed models. RESULTS: Of 158 eligible patients, 106 (67%) participated (mean age 61 years ± 11 [standard deviation], 84 women). Sixty of the 91 respondents (66%) who completed the purpose-designed questionnaire experienced scanxiety. Of the 49 respondents who experienced scanxiety after the scan, it resolved in 22 (45%) within a day after receiving the radiology report. HRQoL did not differ between respondents with or without scanxiety. Emotional functioning was worse for respondents with scanxiety (mean Hospital Anxiety and Depression Scale sum score difference at T1, 3.6 [95% CI, 0.9-6.3]; T2, 4.1 [95% CI, 1.5-6.8]; and T3, 4.0 [95% CI, 1.5-6.5]). CONCLUSIONS: Two-thirds of the respondents experienced scanxiety around follow-up imaging, which often resolved within a day after receiving results. Patients with scanxiety had similar HRQoL but worse emotional functioning compared to patients without scanxiety. The time between the scan and receiving the results should be minimized to decrease the duration of scanxiety. CLINICAL RELEVANCE STATEMENT: We showed that scanxiety is common in UIA patients, and negatively associated with emotional functioning. Since scanxiety often disappears immediately after receiving the radiology report, it should be communicated to the patient as early as possible to alleviate patients' distress. KEY POINTS: ⢠Many patients with an unruptured intracranial aneurysm experience emotional distress around follow-up imaging, termed "scanxiety." ⢠Patients with scanxiety had worse emotional functioning compared to patients without scanxiety. ⢠Scanxiety often resolved within a day after receiving the radiology report.
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PURPOSE: To identify Capabilities, Opportunities, and Motivational factors influencing movement behaviour throughout the day in people with stroke who are highly sedentary and inactive to enable intervention development. METHODS: A qualitative study was conducted using semistructured interviews with people with stroke. The interview guide was based on the Capabilities, Opportunities, and Motivation Behavioural model. RESULTS: Eleven interviews were conducted. Participants reported a lack of knowledge regarding healthy movement behaviour patterns, a lack of insight into their own movement behaviour, and some physical and cognitive limitations to engage in certain physical activities. Several social and environmental elements affecting movement behaviours were mentioned, their impact on movement behaviour varied among participants. Movement behaviour was mostly driven by habits and daily routine, without conscious regulation. CONCLUSION: Our findings show that people with stroke are unaware of their own movement behaviour or of the consequences of these behaviours on health. Movement behaviour is, for the most part, based on daily routine and personal habits. This indicates the need for a behaviour change intervention. Such interventions will need to include providing information about healthy movement behaviour, feedback on individual's movement behaviour and individualized support, taking into account the social and environmental context and personal capabilities.
There is a need to provide insight and feedback regarding individuals' movement behaviour and information about healthy movement behaviour to enable people with stroke who are highly sedentary and inactive to improve their movement behaviour.Movement behaviour is, for the most part, based on daily routine and personal habits.People need individualised support, and personal capabilities, the social and environmental context need to be taken into account to support sustainable movement behaviour change.These findings can be used in clinical practise and to inform intervention development to support movement behaviour change in people after stroke who are highly sedentary and inactive.
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OBJECTIVE: To evaluate whether psychological and social factors complement biomedical factors in understanding post-COVID-19 fatigue and cognitive complaints. Additionally, to incorporate objective (neuro-cognitive) and subjective (patient-reported) variables in identifying factors related to post-COVID-19 fatigue and cognitive complaints. DESIGN: Prospective, multicenter cohort study. SETTING: Six Dutch hospitals. PARTICIPANTS: 205 initially hospitalized (March-June 2020), confirmed patients with SARS-CoV-2, aged ≥18 years, physically able to visit the hospital, without prior cognitive deficit, magnetic resonance imaging (MRI) contraindication, or severe neurologic damage post-hospital discharge (N=205). INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Nine months post-hospital discharge, a 3T MRI scan and cognitive testing were performed and patients completed questionnaires. Medical data were retrieved from medical dossiers. Hierarchical regression analyses were performed on fatigue severity (Fatigue Severity Scale; FSS) and cognitive complaints (Cognitive Consequences after Intensive Care Admission; CLC-IC; dichotomized into CLC-high/low). Variable blocks: (1) Demographic and premorbid factors (sex, age, education, comorbidities), (2) Illness severity (ICU/general ward, PROMIS physical functioning [PROMIS-PF]), (3) Neuro-cognitive factors (self-reported neurological symptoms, MRI abnormalities, cognitive performance), (4) Psychological and social factors (Hospital Anxiety and Depression Scale [HADS], Utrecht Coping List, Social Support List), and (5) Fatigue or cognitive complaints. RESULTS: The final models explained 60% (FSS) and 48% (CLC-IC) variance, with most blocks (except neuro-cognitive factors for FSS) significantly contributing. Psychological and social factors accounted for 5% (FSS) and 11% (CLC-IC) unique variance. Higher FSS scores were associated with younger age (P=.01), lower PROMIS-PF (P<.001), higher HADS-Depression (P=.03), and CLC-high (P=.04). Greater odds of CLC-high were observed in individuals perceiving more social support (OR=1.07, P<.05). CONCLUSIONS: Results show that psychological and social factors add to biomedical factors in explaining persistent post-COVID-19 fatigue and cognitive complaints. Objective neuro-cognitive factors were not associated with symptoms. Findings highlight the importance of multidomain treatment, including psychosocial care, which may not target biologically-rooted symptoms directly but may reduce associated distress.